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1. Impact of Qingdao's smoke‐free legislation on hospitalizations and mortality from acute myocardial infarction and stroke: an interrupted time–series analysis

Author: Fei Qi, Mohsen Naghavi, Yani Wang, Hong Xiao, Hua Zhang, Gonghuan Yang, Xia Wan, Xiaorong Jia, and Shanpeng Li
Subjects: Adult, Male, China, medicine.medical_specialty, Myocardial Infarction, 030508 substance abuse, Medicine (miscellaneous), Stroke mortality, Interrupted Time Series Analysis, 03 medical and health sciences, 0302 clinical medicine, Age groups, medicine, Humans, cardiovascular diseases, 030212 general & internal medicine, Myocardial infarction, Stroke, health care economics and organizations, Smoke free legislation, Aged, Aged, 80 and over, Discharge diagnosis, business.industry, Middle Aged, medicine.disease, Patient Discharge, Confidence interval, Hospitalization, Psychiatry and Mental health, Emergency medicine, Female, Tobacco Smoke Pollution, 0305 other medical science, business, Program Evaluation
Abstract: Background and aims More than 20 cities in China have enacted local smoke-free laws that prohibit smoking in public places. Only two of these cities have examined the health impact of the law. Enacted in 2013, Qingdao's smoke free-law was stricter than most other municipal smoke-free laws because it did not allow designated smoking rooms. This study aimed to estimate the impact of Qingdao's smoke-free legislation on acute myocardial infarction (AMI) and stroke. Design, setting and participants We used an interrupted time-series design adjusting for underlying secular trends, seasonal patterns and meteorological factors to estimate the impact of the smoke-free law on AMI and stroke events among permanent residents aged 35 years or older in Qingdao, China. The study period was from 1 January 2010 to 31 December 2015, with a post-ban follow-up of approximately 2.5 years. Measurement Outcome measures were weekly numbers of hospitalizations and deaths due to AMI/stroke. Findings A total of 10 371 and 56 101 patients were hospitalized, with a principal discharge diagnosis of AMI and stroke, respectively; 32 196 AMI and 49 711 stroke deaths occurred during the study period. Following the smoke-free legislation, an incremental 20% [95% confidence interval (CI) = 14-26%] and 8% (95% CI = 3-13%) decrease per year was observed in AMI and stroke hospitalization rates, respectively. Neither the immediate nor gradual change in AMI nor stroke mortality rates associated with the law was statistically significant (P > 0.05). Post-hoc subgroup analyses indicated that statistically significant reductions in AMI hospitalizations were evident among both the 35-64 (18% per year, 95% CI = 12-27%) and 65-84 (20% per year, 95% CI = 12-27%) age groups. Statistically significant reductions in stroke hospitalization were only in the older subgroup (13% per year, 95% CI = 8-18%). Conclusions The 2013 smoke-free legislation in Qingdao, China was associated with reduction in hospitalization from acute myocardial infarction and stroke among permanent residents aged 35 years or older. There was no statistically significant reduction in mortality from acute myocardial infarctions or stroke.
Published: 2020

2. ‘Pro-tobacco propaganda’: a case study of tobacco industry-sponsored elementary schools in China

Author: Gonghuan Yang, Jennifer Fang, and Xia Wan
Subjects: Adult, Male, Parents, China, Health (social science), education, Legislation, Tobacco Industry, lcsh:RC254-282, Tobacco industry, Political science, Tobacco Smoking, Financial Support, Humans, Child, health care economics and organizations, Original Research, lcsh:RC705-779, Social Responsibility, corporate social responsibility, Schools, tobacco philanthropy, business.industry, Tobacco control, Public Health, Environmental and Occupational Health, lcsh:Diseases of the respiratory system, Public relations, Middle Aged, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, WCTOH, Direct marketing, Corporate social responsibility, Propaganda, Female, Rural area, Thematic analysis, School Teachers, business
Abstract: Background China is the largest producer and consumer of tobacco products worldwide, with 16.5% of all deaths attributed to tobacco use in 2010. While direct marketing and advertisement of tobacco products has been restricted, indirect marketing still exists under the guise of sponsorship and corporate social responsibility (CSR). This case study is focused on tobacco industry-sponsored elementary schools in Chinese rural areas and discusses the success story of a major tobacco control campaign to remove tobacco-related branding and logos from school buildings. Methods Field visits were undertaken to 3 tobacco industry-sponsored elementary schools in Yunnan in 2012, and semi-structured interviews were conducted with students, teachers, school principals and parents to understand their perceptions of the tobacco industry and its sponsorship of schools. In 2016, semi-structured interviews with tobacco control activists were conducted in Beijing, where respondents discussed the outcome of those field visits and the resulting work in petitioning government sectors to remove tobacco-related branding from school buildings. Interview data was transcribed and coded, and key themes were developed using thematic analysis. Results While health consequences of smoking were generally known, attitudes towards the tobacco industry and its CSR activities remained positive among the general public. Educators and parents did not perceive any impacts on schoolchildren from exposure to “pro-tobacco propaganda” created by the industry's CSR activities. Attitudes among tobacco control activists were drastically different, with consensus that CSR activities constitute indirect marketing attempts that should be banned. Conclusions The successful removal of branding from tobacco industry-sponsored schools shows that meaningful action is possible even in the absence of relevant legislation, and can be achieved through the mobilization of stakeholders, including academics and civil society organizations. National tobacco control legislation banning all forms of indirect marketing including sponsorship and CSR activities is needed in order to protect the health of the future generations.
Published: 2019

3. Impact of smoke-free legislation on acute myocardial infarction and stroke mortality: Tianjin, China, 2007–2015

Author: Hui Zhang, Dezheng Wang, Xia Wan, Zhongliang Xu, Hong Xiao, Guohong Jiang, Chengfeng Shen, Ying Zhang, Mohsen Naghavi, and Gonghuan Yang
Subjects: surveillance and monitoring, Adult, Male, China, Health (social science), Public policy, Population, Myocardial Infarction, Legislation, 030204 cardiovascular system & hematology, Stroke mortality, Rate ratio, 03 medical and health sciences, 0302 clinical medicine, prevention, medicine, Humans, 030212 general & internal medicine, Myocardial infarction, cardiovascular diseases, Poisson Distribution, Cities, Mortality, education, Stroke, health care economics and organizations, Original Research, Aged, education.field_of_study, business.industry, Population size, Public Health, Environmental and Occupational Health, Interrupted Time Series Analysis, Middle Aged, medicine.disease, Smoke-Free Policy, Female, Tobacco Smoke Pollution, business, Demography, secondhand smoke
Abstract: BackgroundSmoke-free legislation is an effective way to protect the population from the harms of secondhand smoke and has been implemented in many countries. On 31 May 2012, Tianjin became one of the few cities in China to implement smoke-free legislation. We investigated the impact of smoke-free legislation on mortality due to acute myocardial infarction (AMI) and stroke in Tianjin.MethodsAn interrupted time series design adjusting for underlying secular trends, seasonal patterns, population size changes and meteorological factors was conducted to analyse the impact of the smoke-free law on the weekly mortality due to AMI and stroke. The study period was from 1 January 2007 to 31 December 2015, with a 3.5-year postlegislation follow-up.ResultsFollowing the implementation of the smoke-free law, there was a decline in the annual trends of AMI and stroke mortality. An incremental 16% (rate ratio (RR): 0.84; 95% CI: 0.83 to 0.85) decrease per year in AMI mortality and a 2% (RR: 0.98; 95% CI: 0.97 to 0.99) annual decrease in stroke mortality among the population aged ≥35 years in Tianjin was observed. Immediate postlegislation reductions in mortality were not statistically significant. An estimated 10 000 (22%) AMI deaths were prevented within 3.5 years of the implementation of the law.ConclusionThe smoke-free law in Tianjin was associated with reductions in AMI mortality. This study reinforces the need for large-scale, effective and comprehensive smoke-free laws at the national level in China.
Published: 2019

4. Spatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009

Author: Gonghuan Yang, Xia Wan, Hongyan Ren, and Cao Wei
Subjects: Male, China, lcsh:Diseases of the circulatory (Cardiovascular) system, medicine.medical_specialty, Time Factors, Coronary Disease, Disease, 030204 cardiovascular system & hematology, Epidemiological changes, 03 medical and health sciences, Age Distribution, Spatio-Temporal Analysis, 0302 clinical medicine, Epidemiology, Humans, Medicine, cardiovascular diseases, 030212 general & internal medicine, Mortality, Sex Distribution, Stroke, Retrospective Studies, Angiology, Disease surveillance, business.industry, Mortality rate, medicine.disease, Coronary heart disease, Ordinary kriging, lcsh:RC666-701, Female, Spatiotemporal variation, Cardiology and Cardiovascular Medicine, business, Research Article, Demography
Abstract: Background In China, the spatiotemporal variations in cardiovascular disease (CVD) mortality are seldom characterized to understand their epidemiological features. It would be helpful to evaluate the performance of CVD-related interventions for subsequent adjustments. Methods The 2010 Census data as well as the coronary heart disease (CHD) and stroke mortality data from the Disease Surveillance Points (DSPs) were used to calculate the age standardized death rates (ASDRs) of CVD in the DSP counties during 1991–1995, 1996–2000, 2004–2005, and 2006–2009. The ordinary kriging (OK) method was used to estimate the county-level death rates of CHD and stroke and achieved satisfactory results. Results The goodness-of-fit between measured and estimated values of CVD mortality was significant at the 0.01 level (0.34 75 per 105) were located in the Northwest, North, and Northeast in 1991–2000 and then extended toward the North, Central, and South, yielding an inverted-triangle-shaped area in 2004–2009. The counties with a CHD death rate increase greater than 100% were concentrated in the Northeast and South. The Northeast-Southwest regions with a high stroke death rate gradient (> 150 per 105) narrowed in1991–2000, was followed by a slight expansion during 2004–2005, finally reducing in 2006–2009. The counties with a stroke mortality increase greater than 100% were scattered across the Northeast, Northwest, Central, and South. Conclusion The epidemiological characteristics of both CHD and stroke mortality in China was spatiotemporally featured on the county level during 1991–2009.
Published: 2019

5. Cause-specific mortality for 240 causes in China during 1990–2013: a systematic subnational analysis for the Global Burden of Disease Study 2013

Author: Guoqing Hu, Hannah Hamavid, Yong Zhao, Theo Vos, Jun She, Gelin Xu, Yuantao Hao, Daniel Dicker, Ryan M Barber, Mohsen Naghavi, Haidong Kan, Xiaonong Zou, Yu Wang, Maya S Fraser, Jun Zhu, Yingfeng Zheng, Maigeng Zhou, Haidong Wang, Peng Yin, Shicheng Yu, Jiangmei Liu, Wanqing Chen, Feng Tan, Guohong Jiang, Shiwei Liu, Alan D. Lopez, Yunning Liu, Linhong Wang, Gonghuan Yang, Xia Wan, Yichong Li, Lijing L. Yan, Matthew M Coates, Lijun Wang, Christopher J L Murray, Xiaofeng Liang, Michael R. Phillips, Chuanhua Yu, and Diego Gonzalez-Medina
Subjects: Adult, Male, Mainland China, Gerontology, China, Adolescent, Demographic transition, Poison control, History, 21st Century, Young Adult, 03 medical and health sciences, Life Expectancy, 0302 clinical medicine, Cost of Illness, Cause of Death, Environmental health, Injury prevention, Humans, Medicine, 030212 general & internal medicine, Mortality, Child, Aged, business.industry, Age Factors, Infant, Newborn, Infant, General Medicine, History, 20th Century, Middle Aged, Years of potential life lost, Demographic change, Child, Preschool, Life expectancy, Female, business, 030217 neurology & neurosurgery
Abstract: Summary Background China has experienced a remarkable epidemiological and demographic transition during the past three decades. Far less is known about this transition at the subnational level. Timely and accurate assessment of the provincial burden of disease is needed for evidence-based priority setting at the local level in China. Methods Following the methods of the Global Burden of Disease Study 2013 (GBD 2013), we have systematically analysed all available demographic and epidemiological data sources for China at the provincial level. We developed methods to aggregate county-level surveillance data to inform provincial-level analysis, and we used local data to develop specific garbage code redistribution procedures for China. We assessed levels of and trends in all-cause mortality, causes of death, and years of life lost (YLL) in all 33 province-level administrative units in mainland China, all of which we refer to as provinces, for the years between 1990 and 2013. Findings All provinces in mainland China have made substantial strides to improve life expectancy at birth between 1990 and 2013. Increases ranged from 4·0 years in Hebei province to 14·2 years in Tibet. Improvements in female life expectancy exceeded those in male life expectancy in all provinces except Shanghai, Macao, and Hong Kong. We saw significant heterogeneity among provinces in life expectancy at birth and probability of death at ages 0–14, 15–49, and 50–74 years. Such heterogeneity is also present in cause of death structures between sexes and provinces. From 1990 to 2013, leading causes of YLLs changed substantially. In 1990, 16 of 33 provinces had lower respiratory infections or preterm birth complications as the leading causes of YLLs. 15 provinces had cerebrovascular disease and two (Hong Kong and Macao) had ischaemic heart disease. By 2013, 27 provinces had cerebrovascular disease as the leading cause, five had ischaemic heart disease, and one had lung cancer (Hong Kong). Road injuries have become a top ten cause of death in all provinces in mainland China. The most common non-communicable diseases, including ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and cancers (liver, stomach, and lung), contributed much more to YLLs in 2013 compared with 1990. Interpretation Rapid transitions are occurring across China, but the leading health problems and the challenges imposed on the health system by epidemiological and demographic change differ between groups of Chinese provinces. Localised health policies need to be implemented to tackle the diverse challenges faced by local health-care systems. Funding China National Science & Technology Pillar Program 2013 (2013BAI04B02) and Bill & Melinda Gates Foundation.
Published: 2016

6. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013

Author: Yong Zhao, Hadi Danawi, Bach Xuan Tran, Gene Bukhman, Vasiliki Stathopoulou, Taavi Tillmann, Nelson Alvis-Guzman, Yongmei Li, Jerry Puthenpurakal Abraham, Sudan Prasad Neupane, Jack Caravanos, Ben Schöttker, Rafael Lozano, Damian G Hoy, Yoshihiro Kokubo, Nicholas J K Breitborde, Sergey Soshnikov, Yukito Shinohara, Randall V. Martin, Michael Brainin, Fernando Perez-Ruiz, Yingfeng Zheng, Santosh Mishra, Julio Cesar Montañez Hernandez, Michael Phillips, Belinda J. Gabbe, Hebe N. Gouda, Ziad A. Memish, Rupert R A Bourne, Guoqing Hu, Emmanuel A. Ameh, Abigail McLain, Michelle L. Bell, Christopher Margono, Marissa Iannarone, Wilkister N. Moturi, Donald H. Silberberg, Carl Abelardo T. Antonio, Nataliya Foigt, Anand Dayama, Yanping Wang, Amanda J. Mason-Jones, Bolajoko O. Olusanya, Monica S. Vavilala, Katherine B Gibney, David Tanne, Sidibe S Kany Roseline, Marcella Montico, Abhishek Singh, Sarah Derrett, Alireza Esteghamati, Seok Jun Yoon, Corine Karema, Rakhi Dandona, David M. Pereira, Kazem Rahimi, Gitanjali M. Singh, Vivekanand Jha, John Hornberger, Anne M. Riederer, Kathryn H. Jacobsen, Andrea Pedroza, Lily Alexander, Fiona M. Blyth, Tommi Vasankari, Kyle J Foreman, Rana J. Asghar, Tilahun Nigatu Haregu, Yousef Khader, Rafael Alfonso-Cristancho, Suzanne Barker-Collo, Lydia S. Atkins, Simerjot K. Jassal, Mohammad Ali Sahraian, Peter Scarborough, Hans W. Hoek, E. Ray Dorsey, Muluken Dessalegn, David C. Schwebel, Gavin Shaddick, Thomas D. Fleming, Mohammad Tavakkoli, Dorairaj Prabhakaran, Mohammad H. Forouzanfar, Christopher C. Mapoma, Jost B. Jonas, Erin C Mullany, Gene F. Kwan, Johanna M. Geleijnse, Antonio Luiz Pinho Ribeiro, Roberto Tchio Talongwa, Tolesa Bekele, Jed D. Blore, Gunn Marit Aasvang, Philimon Gona, Miguel Angel Alegretti, Babak Eshrati, Mitsuru Mukaigawara, Richard F. Gillum, Odgerel Chimed-Ochir, Ubai Alsharif, Richard C. Franklin, Felix Masiye, Richard T. Burnett, Sanjay Krishnaswami, Martin McKee, John J Huang, Lucía Cuevas-Nasu, Wagner Marcenes, Walid Ammar, Knud Juel, Joseph R. Zunt, Martha M Téllez Rojo, Mamta Swaroop, Noela M Prasad, Azmeraw T. Amare, Tim Driscoll, Michael Kravchenko, Heresh Amini, Amir Sapkota, Theo Vos, Charlotte Watts, Dennis Odai Laryea, D. Alex Quistberg, Justin Beardsley, Cheng Huang, Adnan M. Durrani, Sarah V Thackway, Rita Van Dingenen, Manami Inoue, Martha Híjar, Honglei Chen, Amany H. Refaat, Yichong Li, Vineet K. Chadha, Wenzhi Wang, Louisa Degenhardt, Kingsley N. Ukwaja, Nayu Ikeda, James D. Wilkinson, Linh N Bui, Maria Hagströmer, Gonghuan Yang, Ann Kristin Knudsen, David J. Margolis, Soewarta Kosen, Hans Kromhout, Atsushi Goto, Man Mohan Mehndiratta, Thomas N. Williams, Michael Soljak, Yun Jin Kim, Hideaki Toyoshima, Jeyaraj D Pandian, Borja del Pozo-Cruz, Soufiane Boufous, Ivy Shiue, Anders Larsson, Guilherme V. Polanczyk, John Powles, Yara A. Halasa, Robin Room, Ratilal Lalloo, Carolina Batis Ruvalcaba, Panniyammakal Jeemon, Elisabete Weiderpass, Jürgen Rehm, Ejaz Ahmad Khan, Alicia Aleman, Zacharie Tsala Dimbuene, Elena Alvarez, Rachelle Buchbinder, Randah R. Hamadeh, Bryan Hubbell, Sadaf G. Sepanlou, Farhad Islami, Costas A. Christophi, Heidi Stöckl, Ismael R. Campos-Nonato, Nigel Bruce, Edward J Mills, Samuel A L Perry, Taavi Lai, Baffour Awuah, Mete Saylan, Karen J. Courville, Arindam Basu, Vanessa De la Cruz-Góngora, Teresita González de Cosío, Naohiro Yonemoto, Frida Namnyak Ngalesoni, Muluken Azage Yenesew, Atte Meretoja, Michael Brauer, Cyrus Cooper, Giorgia Giussani, Valentina S. Arsic Arsenijevic, Vasiliy Victorovich Vlassov, André Karch, Leilei Duan, Matthew M Coates, Omid Ameli, Gelin Xu, Matthias Endres, Ganesan Karthikeyan, Ione Jayce Ceola Schneider, Mohamed Hsairi, Palwasha Anwari, Mazin J. Al Khabouri, Dariush Mozaffarian, Juan R. Sanabria, Pablo M. Lavados, Sumeet S. Chugh, Johan Ärnlöv, Ivo Rakovac, Maurice Giroud, Haidong Kan, Ibrahim Abdelmageem Mohamed Ginawi, José Luis Texcalac-Sangrador, Luigi Naldi, Erica Leigh Slepak, Deena Alasfoor, James E. Saunders, Richard Matzopoulos, Talal Bakfalouni, Stein Emil Vollset, Andrea Werdecker, Lennert J. Veerman, Lorenzo Monasta, Henrica A. F. M. Jansen, Reyna A Gutiérrez, Brittany Wurtz, Luz Maria Sanchez, Lijing L. Yan, M. Patrice Lindsay, Michele Meltzer, Sanjay Basu, Steven van de Vijver, Alaa Badawi, Thomas Claßen, Young-Ho Khang, Brett M. Kissela, Jun Zhu, In-Hwan Oh, Fiona J Charlson, Maria Cecilia Bahit, Dinorah González-Castell, Rosario Cárdenas, Dan Poenaru, Sayed Saidul Alam, Mitchell T. Wallin, Harish Chander Gugnani, James Leigh, Ferrán Catalá-López, Lidia Morawska, Jim van Os, Stephanie J. London, Kaire Innos, Isabelle Romieu, Fiorella Cavalleri, Adrian Davis, Hwee Pin Phua, Chakib Nejjari, Héctor Gómez Dantés, Boris I. Pavlin, Karen Sliwa, Lynne Gaffikin, Constance D. Pond, Michael F. MacIntyre, Blake Thomson, Norberto Perico, Ronny Westerman, Samantha M. Colquhoun, Michael H. Criqui, Ana Maria Nogales Vasconcelos, Wubegzier Mekonnen, Bulat Idrisov, Ana Basto-Abreu, Andrew G. M. Bulloch, Jasvinder A. Singh, Vinod K. Paul, Emin Murat Tuzcu, Svetlana Popova, Hmwe H Kyu, Richard L. Guerrant, Mohammed I. Albittar, Srikanth Mangalam, Steven E. Lipshultz, Lela Sturua, Semaw Ferede Abera, Eduardo Bernabé, George D. Thurston, Bruno F. Sunguya, Tiffany Ku, Alejandra G. Contreras, Abdullah Sulieman Terkawi, Charles Atkinson, Ashkan Afshin, Heidi J. Larson, Abdullatif Husseini, Jose C. Adsuar, Reza Assadi, Ademola Lukman Adelekan, Joshua A. Salomon, Yousef M. Elshrek, Gokalp Kadri Yentur, Devina Nand, Narayanaswamy Venketasubramanian, Graça Maria Ferreira De Lima, Maheswar Satpathy, Fotis Topouzis, Traolach S. Brugha, Hywel C Williams, Coen H. Van Gool, Andrew H. Kemp, Awoke Misganaw, Amado D Quezada, Norito Kawakami, Bert Brunekreef, Peter Burney, Tati S. Warouw, Jongmin Lee, Inga Dora Sigfusdottir, Marcel Tanner, Solveig A. Cunningham, Benjamin O. Anderson, Tariku Jibat Beyene, Lars Barregard, Xia Wan, Giuseppe Remuzzi, Bernadette Thomas, Lilia S Pedraza, Massimo Cirillo, Alina Rodriguez, Ricky Leung, Farshad Pourmalek, K. Srinath Reddy, Charles D.A. Wolfe, Ulrich O Mueller, Neeraj Bedi, Al Artaman, Lucia Hernandez, Itamar S. Santos, C. Arden Pope, Norlinah Mohamed Ibrahim, Carlo Irwin A. Panelo, Selen Begüm Uzun, Miltiadis K. Tsilimbaris, Anwar Rafay, Daniel Dicker, Melvin Barrientos Marzan, Sajjad Ur Rahman, Mohammed O. Basulaiman, Edgar P. Simard, Mohammad T Mashal, Maysaa El Sayed Zaki, Shiwei Liu, Don C. Des Jarlais, Bo Norrving, Salvador Villalpando, Miia Kivipelto, Yang Liu, Carolina Maria Teixeira, Catalina Medina, Sudha Jayaraman, Josep Maria Haro, Diego De Leo, Angel J Paternina Caicedo, Abigail C. McKay, Eric L. Ding, Mukesh Dherani, Ljiljana Pejin Stokic, Vinay Nangia, Sukanta Saha, Juan Liang, Elisabeth Cardis, Zourkaleini Younoussi, José R Nogueira, Braden Te Ao, Vasco Manuel Pedro Machado, Lionel Racapé, Ting Wu Chuang, Shahab Khatibzadeh, E Filipa de Castro, Barthelemy Kuate Defo, Ulises Trujillo, Alan D. Lopez, Soraya Seedat, Lope H Barrero, Linhong Wang, Daniel Pope, Alexandra Brazinova, Faris Lami, Valentina Colistro, G Anil Kumar, Derek F J Fay, Haidong Wang, Hwashin H. Shin, Raimundas Lunevicius, Suzanne Polinder, Dietrich Plass, David Rojas-Rueda, Stephen S Lim, Tania G Sánchez-Pimienta, K.M. Venkat Narayan, Yuantao Hao, Jung-Chen Chang, Corina Benjet, Seyed-Mohammad Fereshtehnejad, Luciano A. Sposato, Stan Biryukov, Kunihiro Matsushita, Beth E. Ebel, Cleusa P. Ferri, Soumya Swaminathan, K. Ryan Wessells, Gustavo Velasquez-Melendez, Leslie T. Cooper, David O. Carpenter, Nancy Lopez, Bryan L. Sykes, Sandra Nolte, Murray B. Stein, Paul N. Jensen, Fabiola Mejía-Rodríguez, Xiaonong Zou, Bradford D. Gessner, Dhruv S. Kazi, Dragos Virgil Davitoiu, Alejandra Jáuregui, Pouria Heydarpour, Megan Bohensky, Harvey Whiteford, Berrak Bora Basara, Zhengming Chen, Gregory R. Wagner, Paul I. Dargan, Hermann Brenner, Nima Hafezi-Nejad, John Nelson Opio, Scott Weichenthal, Deborah Salvo, Jun She, Tea Lallukka, Carolyn C. Gotay, Stephen G. Waller, Christian Kieling, Shivanthi Balalla, Valery L. Feigin, Qing Lan, Matias Trillini, Adam D M Briggs, Sungroul Kim, Niveen M E Abu-Rmeileh, Renata Micha, Sergey Petrovich Ermakov, Ole Frithjof Norheim, Zulfiqar A Bhutta, Paul S. F. Yip, Grant Nguyen, Ralph L. Sacco, Biju Abraham, Ken Takahashi, Jixiang Ma, Peter A. Meaney, Ayse Abbasoglu Ozgoren, Kimberly Cooperrider, M Rifat Kose, Shams Eldin Ali Hassan Khalifa, Rasmus Havmoeller, Alize J. Ferrari, Kebede Deribe, Nadim E. Karam, George A. Mensah, Bongani M. Mayosi, Konrad Pesudovs, Joanna Moschandreas, Ziad Nahas, James Damsere-Derry, Nsanzimana Sabin, Tonatiuh Barrientos-Gutiérrez, Ying Jiang, Andre Pascal Kengne, Peter Allebeck, Jonas Minet Kinge, Shankuan Zhu, Guy B. Marks, Daniel C Casey, Marco A Avila, Anna Roca, Lalit Dandona, Ami R. Moore, Adansi A. Amankwaa, David Gunnell, Andre Keren, Yohannes Adama Melaku, Nhung T Nguyen, Anthony D. Woolf, Mayuree Rao, Peter J. Allen, Christina Papachristou, Karzan Abdulmuhsin Mohammad, Ravi Kumar Balu, Marie Ng, Marcello Tonelli, Maziar Moradi-Lakeh, Maigeng Zhou, Emmanuela Gakidou, Mohammed K. Ali, Amanda W Pain, Dan J. Stein, Kawkab Shishani, Fortuné Gbètoho Gankpé, Howard J. Hoffman, James Scott, Nadine Steckling, Samia Alhabib, Deborah Jarvis, Kara Estep, Arsène Kouablan Adou, Ricardo Orozco, Holly Hagan, K. C. Astha, Reza Malekzadeh, Klara Dokova, Aliya Naheed, Ernst J. Kuipers, Valeria Caso, Derrick A Bennett, Andrea B. Feigl, Uche S. Uchendu, Holly E. Erskine, Shireen Sindi, Arjun Lakshmana Balaji, Francesco Saverio Violante, Monika Sawhney, Alejandra Cantoral, Ketevan Goginashvili, Raghib Ali, Fan Jiang, Robert G. Weintraub, Homie Razavi, Myriam Tobollik, Howard Hu, Emerito Jose A. Faraon, Irma Khonelidze, Patricia M. Riccio, Eun-Kee Park, Julio Cesar Campuzano, Ibrahim Abubakar, Jürgen C Schmidt, Konstantinos Stroumpoulis, Aref A. Bin Abdulhak, Graeme J. Hankey, Natan M. Bornstein, Mouhanad Hammami, Lee Richardson, Rintaro Mori, Alanur Çavlin, Ruth W Kimokoti, Samir Soneji, Mark J. Nieuwenhuijsen, John Q. Wong, Joseph Frostad, Tom Achoki, Rahman Shiri, Ashish Bhalla, Kurt Straif, Simon I. Hay, Scott B. Patten, Kalpana Balakrishnan, Awoke Misganaw Temesgen, Chandrashekhar T Sreeramareddy, Ryan M Barber, Rosana E. Norman, JianLi Wang, Siyi Shangguan, Luke Nyakarahuka, Kovin Naidoo, Charles D. H. Parry, Mercedes Colomar, H. Ross Anderson, Carlos Magis-Rodriguez, Joan M. Nolla, Muhammad Imran Nisar, Karen Devries, Andrew L. Thorne-Lyman, Denis Nash, Marape Marape, Rajiv Chowdhury, Dima M. Qato, Luca Ronfani, Nobhojit Roy, Daniel Kim, Yuichiro Yano, Luke D. Knibbs, Margaret Robinson, Hilda L Harb, Rogelio Pérez-Padilla, Janet L Leasher, Jonathan L. Wright, Peter Brooks, Cristiana Abbafati, Belinda K Lloyd, Victor Aboyans, Nikhil Tandon, Charles R. Newton, Simón Barquera, Ted R. Miller, Kinnari S. Murthy, Habib Benzian, Glen Mola, Paulo A. Lotufo, Burcu Kucuk Bicer, Peggy Pei-Chia Chiang, Alexander Kraemer, Solomon Meseret Woldeyohannes, Saman Fahimi, Lesley Rushton, Kim Moesgaard Iburg, Vafa Rahimi-Movaghar, Logan Sandar, Bruce Neal, Teresa Shamah Levy, Karen M. Tabb, Jeffrey A. Towbin, Christopher J L Murray, Ramesh Sahathevan, Aaron Cohen, Chanda Kulkarni, Van C. Lansingh, François Alla, Tasara T. Mazorodze, Murugesan Raju, Saeid Shahraz, Uchechukwu K.A. Sampson, Rajeev Gupta, Neil Pearce, Mustafa Z. Younis, Veena S. Kulkarni, Francisco A García-Guerra, Amanda G. Thrift, Stefan Ma, Samaya Ismayilova, Evariste Gasana, Amitava Banerjee, Aslam Pervaiz, Emilie Agardh, Abraham D. Flaxman, Farshad Farzadfar, Peter W. Gething, Ileana Heredia-Pi, Boris Bikbov, Wanqing Chen, Saad B. Omer, Ruben Castro, Neeraj Bhala, Sara Sheikhbahaei, Hilton Lam, Urbano Fra Paleo, Lidia Sanchez-Riera, Alicia Elena Beatriz Lawrynowicz, Kristen Delwiche, Richard G. Ellenbogen, Max Petzold, Yuri Y Varakin, Guilherme Borges, Guohong Jiang, Francis Guillemin, Kyle R. Heuton, Yohannes Kinfu, Victoria F Bachman, Joseph A Wagner, Carlos A Castañeda-Orjuela, Leonardo Trasande, Abbas Ali Mahdi, Josef Coresh, Chuanhua Yu, Kenji Shibuya, Berrin Serdar, Laetitia Huiart, Xiaofeng Liang, Jean de Dieu Ngirabega, Takayoshi Ohkubo, Natalie Stephens, Francis Apolinary Mhimbira, Jefferson Traebert, Amiran Gamkrelidze, Kjetil Søreide, Samath D Dharmaratne, Robert P. Dellavalle, George Mugambage Ruhago, Lakshmi Vijayakumar, Joannie Lortet-Tieulent, Dipan Bose, Tania C Aburto, Saleem M Rana, Miriam Levi, Mohammad Taghi Hedayati, Rodolfo S Pagcatipunan, Ron T. Gansevoort, H. D. Hosgood, Michael Burch, Mohsen Naghavi, Vegard Skirbekk, Ayfer Pekericli, Walter Mendoza, Pengpeng Ye, Gabrielle deVeber, Ali H. Mokdad, David M. Broday, Koranteng Adofo, Zewdie Aderaw Alemu, Shifalika Goenka, Carrie Beth Peterson, Nicolas J. C. Stapelberg, Edson Serván-Mori, Anil Kaul, Foad Abd-Allah, Marek Majdan, Rahul Gupta, Giancarlo Logroscino, Kardiyoloji, Peterson, Carrie B., Laboratoire de Physique des Solides (LPS), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Wisconsin Division of Public Health, Laboratoire de psychologie sociale et de psychologie cognitive (LAPSCO), Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Erosion torrentielle neige et avalanches (UR ETGR (ETNA)), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), London South Bank University, Metropolitan Police Service, Hong Kong Baptist University (HKBU), Institut für Informatik [München/Munich] (LMU), Ludwig-Maximilians-Universität München (LMU), Neuroépidémiologie Tropicale (NET), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Chirurgie Thoracique et Vasculaire - Médecine vasculaire [CHU Limoges], CHU Limoges, Insight Centre for Data Analytics [Galway] (INSIGHT), National University of Ireland [Galway] (NUI Galway), Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université Paris Descartes - Paris 5 (UPD5)-Université de Lorraine (UL), Centre d'Investigation Clinique - Epidemiologie Clinique/essais Cliniques Nancy, Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale (INSERM), Karolinska Institute, karolinska institute, Department of Molecular Biosciences, Department of Molecular Biosciences [Oslo], Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO)-Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Centro de Estudios Avanzados en Zonas Aridas (CEAZA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Regional Genetic Service, St Mary's Hospital, Manchester, Laboratoire d'Ingénierie des Matériaux (LIM), Centre National de la Recherche Scientifique (CNRS), Computer Science Department [Bristol], University of Bristol [Bristol], Universität Mannheim [Mannheim], Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) (SRI-B), Computational Science and Engineering Department [Daresbury] (STFC), Science & Technologie Facilities Council, Multimedia Research Center (MRC), University of Alberta, Division of Biostatistics (Biostat - MINNEAPOLIS), University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, University of Southampton, Imperial College London, Neurology Department, Ichilov Medical Center, Interactions, transferts, ruptures artistiques et culturels - EA 6301 (InTRu), Université de Tours, Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Risk Assessment Sciences Institute, Utrecht University [Utrecht], Unité de Biologie Fonctionnelle et Adaptative (BFA (UMR_8251 / U1133)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Respiratory Epidemiology and Public Health, Imperial College London-Royal Brompton Hospital-National Heart and Lung Institute [UK], CIBER de Epidemiología y Salud Pública (CIBERESP), STAR laboratory, Stanford University [Stanford], Unité de recherche Virologie et Immunologie Moléculaires (VIM), Institut National de la Recherche Agronomique (INRA), Tennent Institute of Ophthalmology, National University of Singapore (NUS), Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Multidisciplinary Nanotechnology Centre, Swansea University, Cyprus International Institute for the Environment and Public Health, Harvard School of Public Health, Genomics Research Center, Academia Sinica, Neuro Rehab Services LLP [New Delhi], Department of Signal Theory and Communications (TSC), Univ. Politec. de Catalunya, King‘s College London, Dept. Mat. Engn. De Ma, Sao Carlos, Fed. Univ. Sao Carlos UFSCar, RESPEC (RESPEC), RESPEC, Advanced Laboratories on Embedded Systems [Roma] (ALES), Department of Biology [Miami], University of Miami [Coral Gables], Health Care, Minister Of Labour-Ministry of Labor, Health and Social Affairs, Department of Nephrology, University Medical Center, University of Groningen, Division of Human Nutrition, Wageningen University and Research Centre [Wageningen] (WUR), Spatial Ecology and Epidemiology Group, University of Oxford [Oxford], College of Medicine, University of Hail, Saudi Arabia, Laboratory of Neurologic Diseases, Mario Negri Institute, Milan, Department of Civil Engineering [Hamirpur], National Institute of Technology [Hamirpur], GEMMA — Environmental Engineering and Microbiology Research Group, Department of Hydraulic, Maritime and Environmental Engineering, Universitat Politècnica de Catalunya [Barcelona] (UPC), Department of Biosciences and Nutrition, Karolinska Institutet [Stockholm], Institut National de Recherche et d'Analyse Physico-Chimique (INRAP), Institut National de Recherche et d'Analyse Physico-chimique (Ariana, Tunisie) (INRAP), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences [Tehran] (SBUMS), Shahid Beheshti University-Shahid Beheshti University, Center for Applied Medical Research (CIMA), University of Tehran, Secretariat of the Pacific Community, Public Health Division, Sociétés, Acteurs, Gouvernement en Europe (SAGE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), College of Precision Instrument and Optoelectronics Engineering, Tianjin University, George Washington University (GW), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U912 INSERM - Aix Marseille Univ - IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universiteit Gent [Ghent], Washington State University (WSU), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, School of Computer Science - China University of Geosciences (China University of Geosciences (East Area)), Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Université Catholique de Louvain (UCL), Fachbereich Physik [Berlin], Freie Universität Berlin, Div Cyclotron & Radiopharmaceut Sci (DRDO, INMAS), Univ New Delhi, School of Physics and Astronomy, University of St Andrews [Scotland], University of Cape Town, Department of Neuroscience, Department of Computer Science and Engineering [Daejeon] (Chungnam National University), Lawrence University, Gastroenterology & Hepatology, Tata Research Development and Design Center (TRDDC), TCS Innovation Labs, University of Helsinki, Google Inc [Mountain View], Research at Google, Swedish Defense Research Agency (FOI), Servicio de Neurologia (SANTIAGO - Neurologie), Universidad del Desarrollo, Novartis Pharmaceutical Corporation, Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble [1985-2015] (OSUG [1985-2015]), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Department of Mechanical and Automation Engineering (CAD Laboratory), The Chinese University of Hong Kong [Hong Kong], Università degli studi di Bari, Department of Health and Human Services, National Institutes of Health [Bethesda] (NIH), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), College of Information and Electrical Engineering [Beijing] (CIEE), China Agricultural University (CAU), Thales Research and Technology [Palaiseau], THALES, Department of Rheumatology and Connective Tissue Diseases, Medical University of Lublin, Barts and The London School of Medicine and Dentistry, Queen Mary University of London (QMUL), Centre d'économie de la Sorbonne (CES), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), École supérieure du professorat et de l'éducation - Académie de Grenoble [2013-2019] (ESPE Grenoble [2013-2019]), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Department of Mathematics, University of Iowa [Iowa City], College of Medicine, Alfaisal University, Saudi Ministry of Health, Institut national des recherches agricoles du Bénin, Centre de Recherches agricoles du Sud, Departments of Epidemiology and Nutrition, Unit of Human Nutrition, Agricultural University of Athens, Department of Animal Science, Pennsylvania State University (Penn State), Penn State System-Penn State System, University of Virginia, University of Virginia [Charlottesville], Epidemiology and Biostatistics Unit, Institute for Maternal and Child Health - IRCCS ‘‘Burlo Garofolo', Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Division of Cardiovascular Medicine and Channing Division of Network Medicine, Brigham and Women's Hospital [Boston], American University of Beirut [Beyrouth] (AUB), Department of Chemistry, Scientific Computing Research Unit, Department of dermatology, Milano University-Azienda Ospedaleria Ospedali Riuniti di Bergamo, Mailman School of Public Health, Columbia University [New York], The Georges Institute for International Health, The University of Sydney, Department of epidemiology and Public Health, Faculty of Medicine, Département Optique (OPT), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Universitat Pompeu Fabra [Barcelona], Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona]-Catalunya ministerio de salud, Nutriments Lipidiques et Prévention des Maladies Métaboliques, Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université de la Méditerranée - Aix-Marseille 2, Department of Neurology Lunds University Hospital Lund, Unit of Functional Bionanomaterials, School of Biosciences, University of Birmingham [Birmingham], Electrical Engineering and Computer Science Department - Case Western Reserve University, Case Western Reserve University [Cleveland], World Health Organization, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Nordic School of Public Health, The James Hutton Institute, Horia Hulubei National Institute for Physics and Nuclear Engineering, Department of Pediatrics, University of Washington [Seattle], Institute of Public Health, Department of Physics, Clarendon Laboratory, Center for TeleInFrastruktur (CTIF), Aalborg University [Denmark] (AAU), Physikalisches Institut [Freiburg], Albert-Ludwigs-Universität Freiburg, Savoirs, Textes, Langage (STL) - UMR 8163 (STL), Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Dept.of Computer Science, Indian Institute of Technology Madras (IIT Madras), Istituto Mario Negri Bergamo, Centro Ricerche e Trapianti Villa Camozzi, Universidade Estadual Paulista Júlio de Mesquita Filho [São José do Rio Preto] (UNESP), Laboratoire de Génie Informatique et Ingénierie de Production (LGI2P), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Institut geològic de Catalunya (IGC), Institut Geològic de Catalunya-IGC, Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de la Recherche Agronomique (INRA), Politecnico di Milano [Milan] (POLIMI), Symantec, University of Oviedo, European Microsoft Innovation Center (EMIC), Microsoft Corporation [Redmond, Wash.], Technion - Israel Institute of Technology [Haifa], Laboratoire de Mécanique, Physique et Géosciences (LMPG), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), Department of Physics, Cavendish Laboratory, University of Cambridge [UK] (CAM), Laboratoire de Probabilités et Modèles Aléatoires (LPMA), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Departments of Applied Physics [New Haven], Yale University [New Haven], Center for Mathematical Modeling (CMM), Department of Global Health and Development, London School of Hygiene and Tropical Medicine (LSHTM), University of Occupational and Environmental Health [Kitakyushu] (UEOH), Department of Computer Science and Engineering [New Delhi], Indian Institute of Technology Delhi (IIT Delhi), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), GlaxoSmithKline, Imperial College London-Clinical Imaging Center, Universidade Federal de Pernambuco [Recife] (UFPE), Maclean Building, Benson Lane, Crowmarsh Gifford, Centre for Ecology and Hydrology, Nanoscience Institute (NEST), Dipartimento di Fisica, Università di Pisa, Aristotle University of Thessaloniki, Laboratory Of Immune Cell Biology (LICB), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Institute of Human Genetics, Rheinische Friedrich-Wilhelms-Universität Bonn, Laboratorio Nacional de Computação Cientifica [Rio de Janeiro] (LNCC / MCT), Occupational Health Unit, Bologna University Hospital-Sant'Orsola-Malpighi Polyclinic, Royal Institute of Technology [Stockholm] (KTH ), NICTA [Eveleigh], National ICT Australia [Sydney] (NICTA), Division of Solid Mechanics, Lund University [Lund], University of Calgary, BioWare Corp, Manchester Academic Health Sciences Centre, Institut d'Histoire et de Philosophie des Sciences et des Techniques (IHPST), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Ghent University [Belgium] (UGENT), Imaging Sciences and Biomedical Engineering Division [London], Guy's and St Thomas' Hospital [London]-King‘s College London, Children’s Hospital of Philadelphia (CHOP ), Perelman School of Medicine, University of Pennsylvania [Philadelphia], Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA), École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Génie Civil et Mécanique (GeM), Université de Nantes - Faculté des Sciences et des Techniques, Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Department of Physiology, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Neurorestoration Group, Wolfson Centre for Age-related Diseases-King‘s College London, Electronic Navigation Research Institute (ENRI), Ministry of Land, Infrastructure, Transport and Tourism, Department of Computer Science [KAIST] (CS), Korea Advanced Institute of Science and Technology (KAIST), Centre for Undergraduate Studies, University of the Punjab, Siemens Corporate Research, Siemens AG [Munich], University of Massachusetts [Boston] (UMass Boston), University of Massachusetts System (UMASS), Department of Materials Science, Sichuan University [Chengdu] (SCU), Natl Engn Res Ctr Vegetables, Key Lab Biol & Genet Improvement Hort Crops N Chi, Beijing Acad Agr & Forestry Sci, University Hospital Puerta de Hierro, Madrid, Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University (PSL), Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Shahid Beheshti University of Medical Sciences, École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), MOLTECH-ANJOU (MOLTECH-ANJOU), Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), Universidad de Santiago de Chile [Santiago] (USACH)-Universidad del Desarrollo, Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), École supérieure du professorat et de l'éducation - Académie de Grenoble (ESPE Grenoble), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes (UGA), California Institute of Technology (CALTECH)-NASA, Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Sud - Paris 11 (UP11), Université de la Méditerranée - Aix-Marseille 2-Institut National de la Recherche Agronomique (INRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Universidad de Santiago de Chile [Santiago] (USACH), École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), King‘s College London-Wolfson Centre for Age-related Diseases, Sichuan University, Universitat de Barcelona, Interne Geneeskunde, Medische Sociologie, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), Psychiatrie & Neuropsychologie, CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut Mines-Télécom [Paris] (IMT)-Télécom Bretagne-Université européenne de Bretagne - European University of Brittany (UEB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), RS: MHeNs - R2 - Mental Health, Laboratoire de Physique des Solides ( LPS ), Université Paris-Sud - Paris 11 ( UP11 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de psychologie sociale et de psychologie cognitive ( LAPSCO ), Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Centre National de la Recherche Scientifique ( CNRS ), Erosion torrentielle neige et avalanches ( UR ETGR ), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture ( IRSTEA ), Hong Kong Baptist University ( HKBU ), Institut für Informatik [München/Munich] ( LMU ), Ludwig-Maximilians-Universität München, Neuroépidémiologie Tropicale ( NET ), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Génomique, Environnement, Immunité, Santé, Thérapeutique ( GEIST ), Université de Limoges ( UNILIM ) -Université de Limoges ( UNILIM ), Insight Centre for Data Analytics (National University of Ireland Galway (NUIG)) ( INSIGHT ), Maladies chroniques, santé perçue, et processus d'adaptation ( APEMAC ), Université Paris Descartes - Paris 5 ( UPD5 ) -Université de Lorraine ( UL ), Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale ( INSERM ), University of Oslo ( UiO ) -University of Oslo ( UiO ), Centro de Estudios Avanzados en Zonas Aridas ( CEAZA ), Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Laboratoire d'Ingénierie des Matériaux ( LIM ), Centre National de la Recherche Scientifique ( CNRS ), Lawrence Berkeley National Laboratory [Berkeley] ( LBNL ), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) ( SRI-B ), Computational Science and Engineering Department [Daresbury] ( STFC ), Multimedia Research Center ( MRC ), University of Alberta [Edmonton], Division of Biostatistics ( Biostat - MINNEAPOLIS ), University of Minnesota [Minneapolis], University of Southampton [Southampton], Interactions, transferts, ruptures artistiques et culturels - EA 6301 ( InTRu ), Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), University Medical Center Utrecht, Biologie Fonctionnelle et Adaptative ( BFA ), Imperial College London-Royal Brompton Hospital-National Heart and Lung Institute, Unité de recherche Virologie et Immunologie Moléculaires ( VIM ), Institut National de la Recherche Agronomique ( INRA ), National University of Singapore ( NUS ), Centre de Robotique ( CAOR ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), Department of Signal Theory and Communications ( TSC ), RESPEC ( RESPEC ), Advanced Laboratories on Embedded Systems [Roma] ( ALES ), Wageningen University and Research Centre [Wageningen] ( WUR ), Universitat Politècnica de Catalunya [Barcelona] ( UPC ), Institut National de Recherche et d'Analyse Physico-Chimique ( INRAP ), Institut National de Recherche et d'Analyse Physico-chimique (INRAP-Tunisie), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) ( FEMTO-ST ), Université de Franche-Comté ( UFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Supérieure de Mécanique et des Microtechniques ( ENSMM ) -Université de Technologie de Belfort-Montbeliard ( UTBM ), Tehran University, Sociétés, Acteurs, Gouvernement en Europe ( SAGE ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale ( SESSTIM - U912 INSERM - AMU - IRD ), Institut de Recherche pour le Développement ( IRD ) -Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Washington State University ( WSU ), Laboratoire de Physique de l'ENS Lyon ( Phys-ENS ), École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Institut des Sciences Chimiques de Rennes ( ISCR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Ecole Nationale Supérieure de Chimie de Rennes-Institut National des Sciences Appliquées ( INSA ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche en informatique de Toulouse ( IRIT ), Institut National Polytechnique [Toulouse] ( INP ) -Université Toulouse 1 Capitole ( UT1 ) -Université Toulouse - Jean Jaurès ( UT2J ) -Université Toulouse III - Paul Sabatier ( UPS ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique ( CNRS ), Centre de Recherche en Automatique de Nancy ( CRAN ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), Université Catholique de Louvain ( UCL ), Freie Universität Berlin [Berlin], Div Cyclotron & Radiopharmaceut Sci ( DRDO, INMAS ), Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Tata Research Development and Design Center ( TRDDC ), Laboratoire MOLTECH-Anjou [Angers] ( MOLTECH ANJOU ), Université d'Angers ( UA ) -Centre National de la Recherche Scientifique ( CNRS ), University of Helsinki [Helsinki], Swedish Defense Research Agency ( FOI ), Servicio de Neurologia ( SANTIAGO - Neurologie ), Universidad de Santiago de Chile [Santiago] ( USACH ) -Universidad del Desarrollo, Novartis Pharmaceutical Corp., East Hanover NJ 07936, USA, Laboratoire de glaciologie et géophysique de l'environnement ( LGGE ), Observatoire des Sciences de l'Univers de Grenoble ( OSUG ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Mechanical and Automation Engineering ( CAD Laboratory ), National Institutes of Health ( NIH ), Centre d'étude et de recherche en informatique et communications ( CEDRIC ), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise ( ENSIIE ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] ( Heudiasyc ), Université de Technologie de Compiègne ( UTC ) -Centre National de la Recherche Scientifique ( CNRS ), College of Information and Electrical Engineering [Beijing] ( CIEE ), China Agricultural University ( CAU ), Queen Mary University of London ( QMUL ), Centre d'économie de la Sorbonne ( CES ), Université Panthéon-Sorbonne ( UP1 ) -Centre National de la Recherche Scientifique ( CNRS ), Paris School of Economics ( PSE ), École supérieure du professorat et de l'éducation - Académie de Grenoble ( ESPE Grenoble ), Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Université Grenoble Alpes ( UGA ), PennState University [Pennsylvania] ( PSU ), Jet Propulsion Laboratory ( JPL ), NASA-California Institute of Technology ( CALTECH ), American University of Beirut [Beyrouth], The University of Sydney [Sydney], Département Optique ( OPT ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], Laboratoire des signaux et systèmes ( L2S ), Université Paris-Sud - Paris 11 ( UP11 ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ), Center for Research in Environmental Epidemiology ( CREAL ), Université de la Méditerranée - Aix-Marseille 2-Institut National de la Recherche Agronomique ( INRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Center for TeleInFrastruktur ( CTIF ), Aalborg University [Denmark] ( AAU ), Savoirs, Textes, Langage (STL) - UMR 8163 ( STL ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Indian Institute of Technology Madras ( IIT Madras ), Universidade Estadual Paulista Júlio de Mesquita ( UNESP ), Laboratoire de Génie Informatique et Ingénierie de Production ( LGI2P ), IMT - Mines Alès Ecole Mines - Télécom ( IMT - MINES ALES ), Institut geològic de Catalunya ( IGC ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Physiologie et Génomique des Poissons ( LPGP ), Institut National de la Recherche Agronomique ( INRA ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Politecnico di Milano [Milan], European Microsoft Innovation Center ( EMIC ), Laboratoire de Mécanique, Physique et Géosciences ( LMPG ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ), University of Cambridge [UK] ( CAM ), Laboratoire de Probabilités et Modèles Aléatoires ( LPMA ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Génétique et de Biologie Moléculaire et Cellulaire ( IGBMC ), Université de Strasbourg ( UNISTRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Center for Mathematical Modeling ( CMM ), Universidad de Santiago de Chile [Santiago] ( USACH ), London School of Hygiene and Tropical Medicine ( LSHTM ), University of Occupational and Environmental Health [Kitakyushu] ( UEOH ), Indian Institute of Technology Delhi ( IIT Delhi ), Institut de Recherche sur les Phénomènes Hors Equilibre ( IRPHE ), Aix Marseille Université ( AMU ) -Ecole Centrale de Marseille ( ECM ) -Centre National de la Recherche Scientifique ( CNRS ), Universidade Federal de Pernambuco [Recife] ( UFPE ), Nanoscience Institute ( NEST ), Laboratory Of Immune Cell Biology ( LICB ), JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), Bonn Universität [Bonn], Laboratorio Nacional de Computação Cientifica [Rio de Janeiro] ( LNCC / MCT ), Royal Institute of Technology [Stockholm] ( KTH ), National ICT Australia [Sydney] ( NICTA ), Institut d'Histoire et de Philosophie des Sciences et des Techniques ( IHPST ), Université Panthéon-Sorbonne ( UP1 ) -Département d'Etudes Cognitives - ENS Paris ( DEC ), École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ) -Centre National de la Recherche Scientifique ( CNRS ), Ghent University [Belgium] ( UGENT ), Children’s Hospital of Philadelphia ( CHOP ), Univeristy of Pennsylvania Medical School, Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique ( LHEEA ), École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche en Génie Civil et Mécanique ( GeM ), Université de Nantes ( UN ) -École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Medical College of Georgia, Electronic Navigation Research Institute ( ENRI ), Department of Computer Science [KAIST] ( CS ), Korea Advanced Institute of Science and Technology ( KAIST ), Laboratoire de l'Accélérateur Linéaire ( LAL ), University of Massachusetts [Boston] ( UMass Boston ), Forouzanfar, Mohammad H, Alexander, Lily, Anderson, H. Ro, Bachman, Victoria F, Biryukov, Stan, Brauer, Michael, Burnett, Richard, Casey, Daniel, Coates, Matthew M, Cohen, Aaron, Delwiche, Kristen, Estep, Kara, Frostad, Joseph J, Kc, Astha, Kyu, Hmwe H, Moradi Lakeh, Maziar, Ng, Marie, Slepak, Erica Leigh, Thomas, Bernadette A, Wagner, Joseph, Aasvang, Gunn Marit, Abbafati, Cristiana, Ozgoren, Ayse Abbasoglu, Abd Allah, Foad, Abera, Semaw F, Aboyans, Victor, Abraham, Biju, Abraham, Jerry Puthenpurakal, Abubakar, Ibrahim, Abu Rmeileh, Niveen M. E, Aburto, Tania C, Achoki, Tom, Adelekan, Ademola, Adofo, Koranteng, Adou, Arsène K, Adsuar, José C, Afshin, Ashkan, Agardh, Emilie E, Al Khabouri, Mazin J, Al Lami, Faris H, Alam, Sayed Saidul, Alasfoor, Deena, Albittar, Mohammed I, Alegretti, Miguel A, Aleman, Alicia V, Alemu, Zewdie A, Alfonso Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Ali, Mohammed K, Alla, Françoi, Allebeck, Peter, Allen, Peter J, Alsharif, Ubai, Alvarez, Elena, Alvis Guzman, Nelson, Amankwaa, Adansi A, Amare, Azmeraw T, Ameh, Emmanuel A, Ameli, Omid, Amini, Heresh, Ammar, Walid, Anderson, Benjamin O, Antonio, Carl Abelardo T, Anwari, Palwasha, Cunningham, Solveig Argeseanu, Arnlöv, Johan, Arsenijevic, Valentina S. Arsic, Artaman, Al, Asghar, Rana J, Assadi, Reza, Atkins, Lydia S, Atkinson, Charle, Avila, Marco A, Awuah, Baffour, Badawi, Alaa, Bahit, Maria C, Bakfalouni, Talal, Balakrishnan, Kalpana, Balalla, Shivanthi, Balu, Ravi Kumar, Banerjee, Amitava, Barber, Ryan M, Barker Collo, Suzanne L, Barquera, Simon, Barregard, Lar, Barrero, Lope H, Barrientos Gutierrez, Tonatiuh, Basto Abreu, Ana C, Basu, Arindam, Basu, Sanjay, Basulaiman, Mohammed O, Ruvalcaba, Carolina Bati, Beardsley, Justin, Bedi, Neeraj, Bekele, Tolesa, Bell, Michelle L, Benjet, Corina, Bennett, Derrick A, Benzian, Habib, Bernabé, Eduardo, Beyene, Tariku J, Bhala, Neeraj, Bhalla, Ashish, Bhutta, Zulfiqar A, Bikbov, Bori, Abdulhak, Aref A. Bin, Blore, Jed D, Blyth, Fiona M, Bohensky, Megan A, Başara, Berrak Bora, Borges, Guilherme, Bornstein, Natan M, Bose, Dipan, Boufous, Soufiane, Bourne, Rupert R, Brainin, Michael, Brazinova, Alexandra, Breitborde, Nicholas J, Brenner, Hermann, Briggs, Adam D. M, Broday, David M, Brooks, Peter M, Bruce, Nigel G, Brugha, Traolach S, Brunekreef, Bert, Buchbinder, Rachelle, Bui, Linh N, Bukhman, Gene, Bulloch, Andrew G, Burch, Michael, Burney, Peter G. J, Campos Nonato, Ismael R, Campuzano, Julio C, Cantoral, Alejandra J, Caravanos, Jack, Cárdenas, Rosario, Cardis, Elisabeth, Carpenter, David O, Caso, Valeria, Castañeda Orjuela, Carlos A, Castro, Ruben E, Catalá López, Ferrán, Cavalleri, Fiorella, Çavlin, Alanur, Chadha, Vineet K, Chang, Jung Chen, Charlson, Fiona J, Chen, Honglei, Chen, Wanqing, Chen, Zhengming, Chiang, Peggy P, Chimed Ochir, Odgerel, Chowdhury, Rajiv, Christophi, Costas A, Chuang, Ting Wu, Chugh, Sumeet S, Cirillo, Massimo, Claßen, Thomas Kd, Colistro, Valentina, Colomar, Mercede, Colquhoun, Samantha M, Contreras, Alejandra G, Cooper, Cyru, Cooperrider, Kimberly, Cooper, Leslie T, Coresh, Josef, Courville, Karen J, Criqui, Michael H, Cuevas Nasu, Lucia, Damsere Derry, Jame, Danawi, Hadi, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, Davis, Adrian, Davitoiu, Dragos V, Dayama, Anand, de Castro, E. Filipa, De la Cruz Góngora, Vanessa, De Leo, Diego, de Lima, Graça, Degenhardt, Louisa, Del Pozo Cruz, Borja, Dellavalle, Robert P, Deribe, Kebede, Derrett, Sarah, Jarlais, Don C. De, Dessalegn, Muluken, Deveber, Gabrielle A, Devries, Karen M, Dharmaratne, Samath D, Dherani, Mukesh K, Dicker, Daniel, Ding, Eric L, Dokova, Klara, Dorsey, E. Ray, Driscoll, Tim R, Duan, Leilei, Durrani, Adnan M, Ebel, Beth E, Ellenbogen, Richard G, Elshrek, Yousef M, Endres, Matthia, Ermakov, Sergey P, Erskine, Holly E, Eshrati, Babak, Esteghamati, Alireza, Fahimi, Saman, Faraon, Emerito Jose A, Farzadfar, Farshad, Fay, Derek F. J, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed Mohammad, Ferrari, Alize J, Ferri, Cleusa P, Flaxman, Abraham D, Fleming, Thomas D, Foigt, Nataliya, Foreman, Kyle J, Paleo, Urbano Fra, Franklin, Richard C, Gabbe, Belinda, Gaffikin, Lynne, Gakidou, Emmanuela, Gamkrelidze, Amiran, Gankpé, Fortuné G, Gansevoort, Ron T, García Guerra, Francisco A, Gasana, Evariste, Geleijnse, Johanna M, Gessner, Bradford D, Gething, Pete, Gibney, Katherine B, Gillum, Richard F, Ginawi, Ibrahim A. M, Giroud, Maurice, Giussani, Giorgia, Goenka, Shifalika, Goginashvili, Ketevan, Dantes, Hector Gomez, Gona, Philimon, de Cosio, Teresita Gonzalez, González Castell, Dinorah, Gotay, Carolyn C, Goto, Atsushi, Gouda, Hebe N, Guerrant, Richard L, Gugnani, Harish C, Guillemin, Franci, Gunnell, David, Gupta, Rahul, Gupta, Rajeev, Gutiérrez, Reyna A, Hafezi Nejad, Nima, Hagan, Holly, Hagstromer, Maria, Halasa, Yara A, Hamadeh, Randah R, Hammami, Mouhanad, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Haregu, Tilahun Nigatu, Haro, Josep Maria, Havmoeller, Rasmu, Hay, Simon I, Hedayati, Mohammad T, Heredia Pi, Ileana B, Hernandez, Lucia, Heuton, Kyle R, Heydarpour, Pouria, Hijar, Martha, Hoek, Hans W, Hoffman, Howard J, Hornberger, John C, Hosgood, H. Dean, Hoy, Damian G, Hsairi, Mohamed, Hu, Guoqing, Hu, Howard, Huang, Cheng, Huang, John J, Hubbell, Bryan J, Huiart, Laetitia, Husseini, Abdullatif, Iannarone, Marissa L, Iburg, Kim M, Idrisov, Bulat T, Ikeda, Nayu, Innos, Kaire, Inoue, Manami, Islami, Farhad, Ismayilova, Samaya, Jacobsen, Kathryn H, Jansen, Henrica A, Jarvis, Deborah L, Jassal, Simerjot K, Jauregui, Alejandra, Jayaraman, Sudha, Jeemon, Panniyammakal, Jensen, Paul N, Jha, Vivekanand, Jiang, Fan, Jiang, Guohong, Jiang, Ying, Jonas, Jost B, Juel, Knud, Kan, Haidong, Roseline, Sidibe S. Kany, Karam, Nadim E, Karch, André, Karema, Corine K, Karthikeyan, Ganesan, Kaul, Anil, Kawakami, Norito, Kazi, Dhruv S, Kemp, Andrew H, Kengne, Andre P, Keren, Andre, Khader, Yousef S, Khalifa, Shams Eldin Ali Hassan, Khan, Ejaz A, Khang, Young Ho, Khatibzadeh, Shahab, Khonelidze, Irma, Kieling, Christian, Kim, Daniel, Kim, Sungroul, Kim, Yunjin, Kimokoti, Ruth W, Kinfu, Yohanne, Kinge, Jonas M, Kissela, Brett M, Kivipelto, Miia, Knibbs, Luke D, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kose, M. Rifat, Kosen, Soewarta, Kraemer, Alexander, Kravchenko, Michael, Krishnaswami, Sanjay, Kromhout, Han, Ku, Tiffany, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kuipers, Ernst J, Kulkarni, Chanda, Kulkarni, Veena S, Kumar, G. Anil, Kwan, Gene F, Lai, Taavi, Balaji, Arjun Lakshmana, Lalloo, Ratilal, Lallukka, Tea, Lam, Hilton, Lan, Qing, Lansingh, Van C, Larson, Heidi J, Larsson, Ander, Laryea, Dennis O, Lavados, Pablo M, Lawrynowicz, Alicia E, Leasher, Janet L, Lee, Jong Tae, Leigh, Jame, Leung, Ricky, Levi, Miriam, Li, Yichong, Li, Yongmei, Liang, Juan, Liang, Xiaofeng, Lim, Stephen S, Lindsay, M. Patrice, Lipshultz, Steven E, Liu, Shiwei, Liu, Yang, Lloyd, Belinda K, Logroscino, Giancarlo, London, Stephanie J, Lopez, Nancy, Lortet Tieulent, Joannie, Lotufo, Paulo A, Lozano, Rafael, Lunevicius, Raimunda, Ma, Jixiang, Ma, Stefan, Machado, Vasco M. P, Macintyre, Michael F, Magis Rodriguez, Carlo, Mahdi, Abbas A, Majdan, Marek, Malekzadeh, Reza, Mangalam, Srikanth, Mapoma, Christopher C, Marape, Marape, Marcenes, Wagner, Margolis, David J, Margono, Christopher, Marks, Guy B, Martin, Randall V, Marzan, Melvin B, Mashal, Mohammad T, Masiye, Felix, Mason Jones, Amanda J, Matsushita, Kunihiro, Matzopoulos, Richard, Mayosi, Bongani M, Mazorodze, Tasara T, Mckay, Abigail C, Mckee, Martin, Mclain, Abigail, Meaney, Peter A, Medina, Catalina, Mehndiratta, Man Mohan, Mejia Rodriguez, Fabiola, Mekonnen, Wubegzier, Melaku, Yohannes A, Meltzer, Michele, Memish, Ziad A, Mendoza, Walter, Mensah, George A, Meretoja, Atte, Mhimbira, Francis Apolinary, Micha, Renata, Miller, Ted R, Mills, Edward J, Misganaw, Awoke, Mishra, Santosh, Ibrahim, Norlinah Mohamed, Mohammad, Karzan A, Mokdad, Ali H, Mola, Glen L, Monasta, Lorenzo, Hernandez, Julio C. Montañez, Montico, Marcella, Moore, Ami R, Morawska, Lidia, Mori, Rintaro, Moschandreas, Joanna, Moturi, Wilkister N, Mozaffarian, Dariush, Mueller, Ulrich O, Mukaigawara, Mitsuru, Mullany, Erin C, Murthy, Kinnari S, Naghavi, Mohsen, Nahas, Ziad, Naheed, Aliya, Naidoo, Kovin S, Naldi, Luigi, Nand, Devina, Nangia, Vinay, Narayan, Km Venkat, Nash, Deni, Neal, Bruce, Nejjari, Chakib, Neupane, Sudan P, Newton, Charles R, Ngalesoni, Frida N, de Dieu Ngirabega, Jean, Nguyen, Grant, Nguyen, Nhung T, Nieuwenhuijsen, Mark J, Nisar, Muhammad I, Nogueira, José R, Nolla, Joan M, Nolte, Sandra, Norheim, Ole F, Norman, Rosana E, Norrving, Bo, Nyakarahuka, Luke, Oh, In Hwan, Ohkubo, Takayoshi, Olusanya, Bolajoko O, Omer, Saad B, Opio, John Nelson, Orozco, Ricardo, Pagcatipunan, Rodolfo S, Pain, Amanda W, Pandian, Jeyaraj D, Panelo, Carlo Irwin A, Papachristou, Christina, Park, Eun Kee, Parry, Charles D, Caicedo, Angel J. Paternina, Patten, Scott B, Paul, Vinod K, Pavlin, Boris I, Pearce, Neil, Pedraza, Lilia S, Pedroza, Andrea, Stokic, Ljiljana Pejin, Pekericli, Ayfer, Pereira, David M, Perez Padilla, Rogelio, Perez Ruiz, Fernando, Perico, Norberto, Perry, Samuel A. L, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie B, Petzold, Max, Phillips, Michael R, Phua, Hwee Pin, Plass, Dietrich, Poenaru, Dan, Polanczyk, Guilherme V, Polinder, Suzanne, Pond, Constance D, Pope, C. Arden, Pope, Daniel, Popova, Svetlana, Pourmalek, Farshad, Powles, John, Prabhakaran, Dorairaj, Prasad, Noela M, Qato, Dima M, Quezada, Amado D, Quistberg, D. Alex A, Racapé, Lionel, Rafay, Anwar, Rahimi, Kazem, Rahimi Movaghar, Vafa, Rahman, Sajjad Ur, Raju, Murugesan, Rakovac, Ivo, Rana, Saleem M, Rao, Mayuree, Razavi, Homie, Reddy, K. Srinath, Refaat, Amany H, Rehm, Jürgen, Remuzzi, Giuseppe, Ribeiro, Antonio L, Riccio, Patricia M, Richardson, Lee, Riederer, Anne, Robinson, Margaret, Roca, Anna, Rodriguez, Alina, Rojas Rueda, David, Romieu, Isabelle, Ronfani, Luca, Room, Robin, Roy, Nobhojit, Ruhago, George M, Rushton, Lesley, Sabin, Nsanzimana, Sacco, Ralph L, Saha, Sukanta, Sahathevan, Ramesh, Sahraian, Mohammad Ali, Salomon, Joshua A, Salvo, Deborah, Sampson, Uchechukwu K, Sanabria, Juan R, Sanchez, Luz Maria, Sánchez Pimienta, Tania G, Sanchez Riera, Lidia, Sandar, Logan, Santos, Itamar S, Sapkota, Amir, Satpathy, Maheswar, Saunders, James E, Sawhney, Monika, Saylan, Mete I, Scarborough, Peter, Schmidt, Jürgen C, Schneider, Ione J. C, Schöttker, Ben, Schwebel, David C, Scott, James G, Seedat, Soraya, Sepanlou, Sadaf G, Serdar, Berrin, Servan Mori, Edson E, Shaddick, Gavin, Shahraz, Saeid, Levy, Teresa Shamah, Shangguan, Siyi, She, Jun, Sheikhbahaei, Sara, Shibuya, Kenji, Shin, Hwashin H, Shinohara, Yukito, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Sigfusdottir, Inga D, Silberberg, Donald H, Simard, Edgar P, Sindi, Shireen, Singh, Abhishek, Singh, Gitanjali M, Singh, Jasvinder A, Skirbekk, Vegard, Sliwa, Karen, Soljak, Michael, Soneji, Samir, Søreide, Kjetil, Soshnikov, Sergey, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stapelberg, Nicolas J. C, Stathopoulou, Vasiliki, Steckling, Nadine, Stein, Dan J, Stein, Murray B, Stephens, Natalie, Stöckl, Heidi, Straif, Kurt, Stroumpoulis, Konstantino, Sturua, Lela, Sunguya, Bruno F, Swaminathan, Soumya, Swaroop, Mamta, Sykes, Bryan L, Tabb, Karen M, Takahashi, Ken, Talongwa, Roberto T, Tandon, Nikhil, Tanne, David, Tanner, Marcel, Tavakkoli, Mohammad, Te Ao, Braden J, Teixeira, Carolina M, Téllez Rojo, Martha M, Terkawi, Abdullah S, Texcalac Sangrador, José Lui, Thackway, Sarah V, Thomson, Blake, Thorne Lyman, Andrew L, Thrift, Amanda G, Thurston, George D, Tillmann, Taavi, Tobollik, Myriam, Tonelli, Marcello, Topouzis, Foti, Towbin, Jeffrey A, Toyoshima, Hideaki, Traebert, Jefferson, Tran, Bach X, Trasande, Leonardo, Trillini, Matia, Trujillo, Ulise, Dimbuene, Zacharie Tsala, Tsilimbaris, Miltiadi, Tuzcu, Emin Murat, Uchendu, Uche S, Ukwaja, Kingsley N, Uzun, Selen B, van de Vijver, Steven, Van Dingenen, Rita, van Gool, Coen H, van Os, Jim, Varakin, Yuri Y, Vasankari, Tommi J, Vasconcelos, Ana Maria N, Vavilala, Monica S, Veerman, Lennert J, Velasquez Melendez, Gustavo, Venketasubramanian, N, Vijayakumar, Lakshmi, Villalpando, Salvador, Violante, Francesco S, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Wagner, Gregory R, Waller, Stephen G, Wallin, Mitchell T, Wan, Xia, Wang, Haidong, Wang, Jianli, Wang, Linhong, Wang, Wenzhi, Wang, Yanping, Warouw, Tati S, Watts, Charlotte H, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Werdecker, Andrea, Wessells, K. Ryan, Westerman, Ronny, Whiteford, Harvey A, Wilkinson, James D, Williams, Hywel C, Williams, Thomas N, Woldeyohannes, Solomon M, Wolfe, Charles D. A, Wong, John Q, Woolf, Anthony D, Wright, Jonathan L, Wurtz, Brittany, Xu, Gelin, Yan, Lijing L, Yang, Gonghuan, Yano, Yuichiro, Ye, Pengpeng, Yenesew, Muluken, Yentür, Gökalp K, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok Jun, Younis, Mustafa Z, Younoussi, Zourkaleini, Yu, Chuanhua, Zaki, Maysaa E, Zhao, Yong, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Jun, Zhu, Shankuan, Zou, Xiaonong, Zunt, Joseph R, Lopez, Alan D, Vos, Theo, Murray, Christopher J., Cell biology, Epidemiology, Neurosciences, Health Technology Assessment (HTA), Public Health, General practice, Bachman, Victoria F., Coates, Matthew M., Frostad, Joseph J., Astha, K.C., Kyu, Hmwe H., Moradi-Lakeh, Maziar, Thomas, Bernadette A., Abbasoglu Ozgoren, Ayse, Abd-Allah, Foad, Abera, Semaw F., Puthenpurakal Abraham, Jerry, Abu-Rmeileh, Niveen M.E., Aburto, Tania C., Adou, Arsène K., Adsuar, José C., Agardh, Emilie E., Al Khabouri, Mazin J., Al Lami, Faris H., Albittar, Mohammed I., Alegretti, Miguel A., Aleman, Alicia V., Alemu, Zewdie A., Alfonso-Cristancho, Rafael, Ali, Mohammed K., Allen, Peter J., Alvis-Guzman, Nelson, Amankwaa, Adansi A., Amare, Azmeraw T., Ameh, Emmanuel A., Anderson, Benjamin O., Antonio, Carl Abelardo T., Argeseanu Cunningham, Solveig, Arsic Arsenijevic, Valentina S., Asghar, Rana J., Atkins, Lydia S., Avila, Marco A., Bahit, Maria C., Barber, Ryan M., Barker-Collo, Suzanne L., Barrero, Lope H., Barrientos-Gutierrez, Tonatiuh, Basto-Abreu, Ana C., Basulaiman, Mohammed O., Batis Ruvalcaba, Carolina, Bell, Michelle L., Bennett, Derrick A., Beyene, Tariku J., Bhutta, Zulfiqar A., Bin Abdulhak, Aref A., Blore, Jed D., Blyth, Fiona M., Bohensky, Megan A., Bora Başara, Berrak, Bornstein, Natan M., Bourne, Rupert R., Breitborde, Nicholas J., Briggs, Adam D.M., Broday, David M., Brooks, Peter M., Bruce, Nigel G., Brugha, Traolach S., Bui, Linh N., Bulloch, Andrew G., Burney, Peter G.J., Campos-Nonato, Ismael R., Campuzano, Julio C., Cantoral, Alejandra J., Carpenter, David O., Castañeda-Orjuela, Carlos A., Castro, Ruben E., Catalá-López, Ferrán, Chadha, Vineet K., Chang, Jung-Chen, Charlson, Fiona J., Chiang, Peggy P., Chimed-Ochir, Odgerel, Christophi, Costas A., Chuang, Ting-Wu, Chugh, Sumeet S., Claßen, Thomas K.D., Colquhoun, Samantha M., Contreras, Alejandra G., Cooper, Leslie T., Courville, Karen J., Criqui, Michael H., Cuevas-Nasu, Lucia, Damsere-Derry, Jame, Dargan, Paul I., Davitoiu, Dragos V., De Castro, E. Filipa, De La Cruz-Góngora, Vanessa, De Lima, Graça, Del Pozo-Cruz, Borja, Dellavalle, Robert P., Des Jarlais, Don C., Deveber, Gabrielle A., Devries, Karen M., Dharmaratne, Samath D., Dherani, Mukesh K., Ding, Eric L., Driscoll, Tim R., Durrani, Adnan M., Ebel, Beth E., Ellenbogen, Richard G., Elshrek, Yousef M., Ermakov, Sergey P., Erskine, Holly E., Faraon, Emerito Jose A., Fay, Derek F.J., Feigin, Valery L., Feigl, Andrea B., Fereshtehnejad, Seyed-Mohammad, Ferrari, Alize J., Ferri, Cleusa P., Flaxman, Abraham D., Fleming, Thomas D., Foreman, Kyle J., Fra Paleo, Urbano, Franklin, Richard C., Gankpé, Fortuné G., Gansevoort, Ron T., García-Guerra, Francisco A., Geleijnse, Johanna M., Gessner, Bradford D., Gibney, Katherine B., Gillum, Richard F., Ginawi, Ibrahim A.M., Gomez Dantes, Hector, Gonzalez De Cosio, Teresita, González-Castell, Dinorah, Gotay, Carolyn C., Gouda, Hebe N., Guerrant, Richard L., Gugnani, Harish C., Gutiérrez, Reyna A., Hafezi-Nejad, Nima, Halasa, Yara A., Hamadeh, Randah R., Hankey, Graeme J., Harb, Hilda L., Hay, Simon I., Hedayati, Mohammad T., Heredia-Pi, Ileana B., Heuton, Kyle R., Hoek, Hans W., Hoffman, Howard J., Hornberger, John C., Hosgood, H., Hoy, Damian G., Huang, John J., Hubbell, Bryan J., Iannarone, Marissa L., Iburg, Kim M., Idrisov, Bulat T., Jacobsen, Kathryn H., Jansen, Henrica A., Jarvis, Deborah L., Jassal, Simerjot K., Jensen, Paul N., Jonas, Jost B., Kany Roseline, Sidibe S., Karam, Nadim E., Karema, Corine K., Kazi, Dhruv S., Kemp, Andrew H., Kengne, Andre P., Khader, Yousef S., Ali Hassan Khalifa, Shams Eldin, Khan, Ejaz A., Khang, Young-Ho, Kimokoti, Ruth W., Kinge, Jonas M., Kissela, Brett M., Knibbs, Luke D., Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kuipers, Ernst J., Kulkarni, Veena S., Kwan, Gene F., Lakshmana Balaji, Arjun, Lansingh, Van C., Larson, Heidi J., Laryea, Dennis O., Lavados, Pablo M., Lawrynowicz, Alicia E., Leasher, Janet L., Lee, Jong-Tae, Lim, Stephen S., Lipshultz, Steven E., Lloyd, Belinda K., London, Stephanie J., Lortet-Tieulent, Joannie, Lotufo, Paulo A., Machado, Vasco M.P., Macintyre, Michael F., Magis-Rodriguez, Carlo, Mahdi, Abbas A., Mapoma, Christopher C., Margolis, David J., Marks, Guy B., Martin, Randall V., Marzan, Melvin B., Mashal, Mohammad T., Mason-Jones, Amanda J., Mayosi, Bongani M., Mazorodze, Tasara T., Mckay, Abigail C., Meaney, Peter A., Mejia-Rodriguez, Fabiola, Melaku, Yohannes A., Memish, Ziad A., Mensah, George A., Apolinary Mhimbira, Franci, Miller, Ted R., Mills, Edward J., Mohamed Ibrahim, Norlinah, Mohammad, Karzan A., Mokdad, Ali H., Mola, Glen L., Montañez Hernandez, Julio C., Moore, Ami R., Moturi, Wilkister N., Mueller, Ulrich O., Mullany, Erin C., Murthy, Kinnari S., Naidoo, Kovin S., Narayan, K.M. Venkat, Neupane, Sudan P., Newton, Charles R., Ngalesoni, Frida N., Ngirabega, Jean De Dieu, Nguyen, Nhung T., Nieuwenhuijsen, Mark J., Nisar, Muhammad I., Nogueira, José R., Nolla, Joan M., Norheim, Ole F., Norman, Rosana E., Oh, In-Hwan, Olusanya, Bolajoko O., Omer, Saad B., Pagcatipunan, Rodolfo S., Pain, Amanda W., Pandian, Jeyaraj D., Panelo, Carlo Irwin A., Park, Eun-Kee, Parry, Charles D., Paternina Caicedo, Angel J., Patten, Scott B., Paul, Vinod K., Pavlin, Boris I., Pedraza, Lilia S., Pejin Stokic, Ljiljana, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perry, Samuel A.L., Phillips, Michael R., Polanczyk, Guilherme V., Pond, Constance D., Prasad, Noela M., Qato, Dima M., Quezada, Amado D., Quistberg, D. Alex A., Rahimi-Movaghar, Vafa, Ur Rahman, Sajjad, Rana, Saleem M., Refaat, Amany H., Ribeiro, Antonio L., Riccio, Patricia M., Rojas-Rueda, David, Ruhago, George M., Sacco, Ralph L., Salomon, Joshua A., Sampson, Uchechukwu K., Sanabria, Juan R., Sánchez-Pimienta, Tania G., Sanchez-Riera, Lidia, Santos, Itamar S., Saunders, James E., Saylan, Mete I., Schmidt, Jürgen C., Schneider, Ione J.C., Schwebel, David C., Scott, James G., Sepanlou, Sadaf G., Servan-Mori, Edson E., Shamah Levy, Teresa, Shin, Hwashin H., Sigfusdottir, Inga D., Silberberg, Donald H., Simard, Edgar P., Singh, Gitanjali M., Singh, Jasvinder A., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stapelberg, Nicolas J.C., Stein, Dan J., Stein, Murray B., Sunguya, Bruno F., Sykes, Bryan L., Tabb, Karen M., Talongwa, Roberto T., Te Ao, Braden J., Teixeira, Carolina M., Téllez Rojo, Martha M., Terkawi, Abdullah S., Texcalac-Sangrador, José Lui, Thackway, Sarah V., Thorne-Lyman, Andrew L., Thrift, Amanda G., Thurston, George D., Towbin, Jeffrey A., Tran, Bach X., Tsala Dimbuene, Zacharie, Uchendu, Uche S., Ukwaja, Kingsley N., Uzun, Selen B., Van De Vijver, Steven, Van Gool, Coen H., Van Os, Jim, Varakin, Yuri Y., Vasankari, Tommi J., Vasconcelos, Ana Maria N., Vavilala, Monica S., Veerman, Lennert J., Velasquez-Melendez, Gustavo, Venketasubramanian, N., Violante, Francesco S., Victorovich Vlassov, Vasiliy, Wagner, Gregory R., Waller, Stephen G., Wallin, Mitchell T., Warouw, Tati S., Watts, Charlotte H., Weintraub, Robert G., Whiteford, Harvey A., Wilkinson, James D., Williams, Hywel C., Williams, Thomas N., Woldeyohannes, Solomon M., Wolfe, Charles D.A., Wong, John Q., Woolf, Anthony D., Wright, Jonathan L., Yan, Lijing L., Yentür, Gökalp K., Yoon, Seok-Jun, Younis, Mustafa Z., Zaki, Maysaa E., Zunt, Joseph R., Lopez, Alan D., and Temesgen, A.M.
Subjects: Male, Fine particulate matter, Nutrition and Disease, MESH : Sanitation, Health Behavior, Diseases, MESH: Metabolic Diseases, MESH: Global Health, 030204 cardiovascular system & hematology, MESH: Risk Assessment, Global Health, MESH : Nutritional Status, MESH: Occupational Exposure, 0302 clinical medicine, Unsafe Sex, MESH: Risk Factors, Risk Factors, Voeding en Ziekte, Medicine, Air-pollution, MESH : Female, 030212 general & internal medicine, MESH : Risk Assessment, Sanitation, Wasting, 2. Zero hunger, Factors de risc en les malalties, Medicine (all), [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, MESH : Occupational Diseases, MESH: Nutritional Status, All-cause mortality, MESH : Risk Factors, humanities, Environmental Exposure, Female, Humans, Metabolic Diseases, Nutritional Status, Occupational Diseases, Occupational Exposure, Risk Assessment, Tobacco smoking, 3. Good health, Nutritional Statu, MESH : Occupational Exposure, MESH : Metabolic Diseases, Cohort, medicine.symptom, Risk assessment, Blood-pressure, Human, MESH: Occupational Diseases, Risk factors in diseases, Coronary-heart-disease, MESH : Male, MESH: Health Behavior, MESH: Environmental Exposure, Population health, Body-mass index, 03 medical and health sciences, Household cooking, Cardiovascular-disease, Environmental health, General & Internal Medicine, parasitic diseases, Life Science, MESH: Sanitation, Risk factor, MESH : Health Behavior, VLAG, GBD2013, MESH: Humans, business.industry, Risk Factor, Global Burden of Disease Study, 79 behavioural, environmental and occupational, and metabolic risks, Long-term exposure, MESH : Humans, CAUSE-SPECIFIC MORTALITY, MESH: Male, Metabolic Disease, Occupational Disease, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, MALE BRITISH DOCTORS, Years of potential life lost, Relative risk, Malalties, MESH : Global Health, OUTDOOR AIR-POLLUTION, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, MESH : Environmental Exposure, MESH: Female
Abstract: Summary Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation. Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the fi rst of a series of annual updates of the GBD. Risk factor quantifi cation, particularly of modifi able risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the fi rst level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular fi ltration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation.
Published: 2015

7. Body mass index and mortality from lung cancer in smokers and nonsmokers: a nationally representative prospective study of 220,000 men in China

Author: J Boreham, Jun Wang, Margaret Smith, Hui Ge, Gonghuan Yang, Richard Peto, Yi-song Hu, Zhengming Chen, Ling Yang, and Maigeng Zhou
Subjects: Adult, Male, Cancer Research, medicine.medical_specialty, Lung Neoplasms, Population, Body Mass Index, Cohort Studies, medicine, Humans, Prospective Studies, Prospective cohort study, Lung cancer, education, Aged, education.field_of_study, business.industry, Smoking, Confounding, Absolute risk reduction, Cancer, Middle Aged, medicine.disease, Surgery, Oncology, business, Body mass index, Demography, Cohort study
Abstract: The mean baseline BMI was 21.7 kg/m 2 , and 2,145 lung cancer deaths were recorded during 15 years of follow-up. The prevalence of smoking was strongly inversely associated with BMI, but no apparent relationship was seen between amount smoked (or other measures of smoking intensity) and BMI among smokers. Overall there was a strong inverse association between BMI and lung cancer mortality (p < 0.0001 for trend) after excluding the first 3 years of follow-up. This association appeared to be confined mainly to current smokers, with no apparent relationship in nonsmokers (p < 0.001 for difference between slopes). Among current smokers, the inverse association appeared to be log-linear, with each 5 kg/m 2 lower BMI associated with a 35% (95% confidence interval: 24–46%; p < 0.0001) higher lung cancer mortality, and it persisted after excluding those who had reported poor health status or history of any disease or respiratory symptoms at baseline. In this relatively lean Chinese male population, low BMI was strongly associated with increased risk of lung cancer only among current smokers. ' 2009 UICC Lung cancer is among the commonest types of cancer throughout China, causing some 400,000 deaths annually. During the last few decades the disease rate has risen steadily, especially among males, as a consequence of the recent large increase in cigarette consumption. 1,2 Despite the rise in smoking-related diseases, the emerging tobacco hazard in China remains at an early stage due to the delayed effect of increase in cigarette consumption, with only about 12% of male adult deaths being attributed to smoking during the 1990s, a proportion similar to that in the USA during the early 1950s. 3 Currently about two-thirds of men aged 15 or over in China smoke, compared to fewer than 5% of women. 3,4 Although there is little variation in the smoking prevalence between different regions of China, the absolute lung cancer rate varies considerably, with the nonsmoker lung cancer rate in some parts of China being about 10 times greater than that among US nonsmokers. 3 This suggests that factors other than smoking contribute significantly to disease risk in the population. 3,5,6 Several observational studies have examined the relationship between lung cancer and body mass index (BMI), an indirect but useful measure of body fatness. 7‐23 Most of these studies have shown BMI to be inversely associated with the risk of lung cancer, with particularly high excess risk among very lean people (BMI < 18.5 kg/m 2 ). Questions remain, however, about the nature of the association, particularly the relevance to it of smoking. Some studies have attributed the inverse association of BMI and lung cancer risk entirely to incomplete control of confounding by smoking and/or of reverse causality due to pre-existing dis
Published: 2018

8. Spatiotemporal analysis of PM

Author: Yanhong, Wang, Mengmeng, Li, Xia, Wan, Yuanyuan, Sun, Kailiang, Cheng, Xinyu, Zhao, Yuan, Zheng, Gonghuan, Yang, and Li, Wang
Subjects: Adult, Aged, 80 and over, Male, Pancreatic Neoplasms, Air Pollutants, China, Spatio-Temporal Analysis, Air Pollution, Humans, Female, Particulate Matter, Middle Aged, Aged
Abstract: Previous studies have reported that the development of pancreatic cancer (PC) may be associated with environment pollution. But the relationship between ambient air pollution and PC remains unclear.This study aimed to examine the association between PC mortality and exposure of fine particular matter.We used PC mortality data from 103 continuous points in national Disease Surveillance Point system from 1991 to 2009 in China. The annual concentrations of PMThe relative risks of PC mortality related to 10 μg/mAmbient PM
Published: 2017

9. Characterisation of gastric cancer and its relation to environmental factors: a case study in Shenqiu County, China

Author: Dafang Zhuang, Duanyang Xu, Xiaoming Shi, Gonghuan Yang, Jianwei Xu, and Hongyan Ren
Subjects: Adult, Male, China, medicine.medical_specialty, Health, Toxicology and Mutagenesis, Disease, Environment, 010501 environmental sciences, 01 natural sciences, Retrospective data, 03 medical and health sciences, 0302 clinical medicine, Stomach Neoplasms, Environmental health, Epidemiology, medicine, Humans, 030212 general & internal medicine, Aged, Retrospective Studies, 0105 earth and related environmental sciences, Aged, 80 and over, Population Density, Cancer mortality, Spatial Analysis, business.industry, digestive, oral, and skin physiology, Public Health, Environmental and Occupational Health, Cancer, GCM transcription factors, General Medicine, Middle Aged, medicine.disease, Pollution, humanities, digestive system diseases, Female, business
Abstract: This article presents the results of spatial analysis of gastric cancer and its relation to environmental conditions in Shenqiu County, China. Retrospective data on gastric cancer mortality (GCM) were analysed at various spatial scales, with its relation to environmental factors explored at an appropriate scale. The results considered 2 × 2 km(2) grid as the optimal level for characterising GCM due to the highest Moran's I (I = 0.68, p 0.01). Then, three clustering regions were clearly identified. Meanwhile, GCM was obviously associated with topography (r = -0.11, p 0.10), farmland (r = 0.11, p 0.10), population density (r = 0.10, p 0.10) and river density (r = 0.11, p 0.10) in the buffered zones. It indicates that spatial grid technique is suitable for characterising GCM in Shenqiu County, and that GCM was geographically associated with environmental conditions. We suggest that preventive measures for controlling the environment-related malignant neoplasm should not be limited in the regions suffering from this disease but be reasonably extended to surrounding areas.
Published: 2015

10. Time trends of esophageal and gastric cancer mortality in China, 1991–2009: an age-period-cohort analysis

Author: Mengmeng Li, Gonghuan Yang, Xia Wan, Li Wang, Yuanyuan Sun, and Yanhong Wang
Subjects: Adult, Male, Rural Population, China, medicine.medical_specialty, Esophageal Neoplasms, Science, Gastroenterology, Article, 03 medical and health sciences, 0302 clinical medicine, Stomach Neoplasms, Internal medicine, medicine, Humans, Aged, Aged, 80 and over, Cancer mortality, Disease surveillance, Multidisciplinary, Cancer prevention, Time trends, business.industry, Mortality rate, Age Factors, Cancer, Middle Aged, Esophageal cancer, medicine.disease, Cohort effect, 030220 oncology & carcinogenesis, Medicine, Female, 030211 gastroenterology & hepatology, business
Abstract: Esophageal and gastric cancers share some risk factors. This study aimed to compare the long-term trends in mortality rates of esophageal and gastric cancers in China to provide evidence for cancer prevention and control. Mortality data were derived from 103 continuous points of the Disease Surveillance Points system during 1991–2009, stratified by gender and urban-rural locations. Age-period-cohort models were used to disentangle the time trends of esophageal and gastric cancer mortality. The downward slope of the period effect for esophageal cancer was steeper than that for gastric cancer in rural areas. Cohort effect patterns were similar between esophageal and gastric cancers, with an inverse U-shape peaking around the late 1920s and early 1930s. A second peak, appearing around the 1950s, was weaker than the first but apparent in males, especially for esophageal cancer. The more marked changes in period effect for esophageal cancer in rural areas suggest esophageal cancer screening practices are effective in reducing mortality, and similar programs targeting gastric cancer should be implemented. The similarities of the cohort effects in these two cancers support the implication of nutrition deficiency in early childhood in the development of upper gastrointestinal cancer.
Published: 2017

11. Development of policy performance indicators to assess the implementation of protection from exposure to secondhand smoke in China

Author: Stephen Tamplin, Gonghuan Yang, Mark Spires, Daiwei Hu, Xia Wan, Huilin Liu, Jonathan M. Samet, Frances A. Stillman, and Zhen Dai
Subjects: Adult, Male, China, Health Knowledge, Attitudes, Practice, Health (social science), Index (economics), Adolescent, National Health Programs, Psychological intervention, Smoking Prevention, Environment, Young Adult, Smoke-Free Policy, Secondhand smoke, Environmental health, Humans, Workplace, Health policy, Aged, Data collection, Data Collection, Health Policy, Smoking, Tobacco control, Public Health, Environmental and Occupational Health, Middle Aged, Health Surveys, Stratified sampling, Geography, Low/Middle income country, Air Pollution, Indoor, Female, Tobacco Smoke Pollution, Performance indicator, Research Paper
Abstract: Objective To develop an approach for rapid assessment of tobacco control interventions in China. We examined the correlation between components of the Strength of Tobacco Control (SOTC) index and a proposed rapid evaluation indicator, the Policy Performance Indicator (PPI), which is based on protection of non-smokers from secondhand smoke (SHS). The PPI was used to assess the implementation of policies related to SHS at the provincial/municipal level in China. Methods Stratified random sampling was used to select five types of organisational and household respondents in two municipalities and five provinces in China (Shanghai and Tianjin, Heilongjiang, Henan, Guangdong, Zhejiang and Jiangxi, respectively). Data collection methods included key informant interviews, observation and intercept surveys (organisations), and a modified Global Adult Tobacco Survey (GATS) questionnaire (households). SOTC scores (SHS policy, capacity and efforts), PPI (no smoking in designated smoke-free places) and mid-term to long-term impact (knowledge, attitude and reduced exposure to SHS) were measured, and correlations among them were calculated. Results The PPI varied across the seven locations. Shanghai led in the component indicators (at 56.5% for indoor workplaces and 49.1% for indoor public places, respectively), followed by Guangdong, Tianjin and Zhejiang (at 30–35% for these two indicators), and finally, Henan and Jiangxi (at 20–25%). Smoke-free policies were more effectively implemented at indoor workplaces than indoor public places. The PPI correlated well with certain components of the SOTC but not with the long-term indicators. Conclusions The PPI is useful for evaluating implementation of smoke-free policies. As tobacco control programmes are implemented, the PPI offers an indicator to track success and change strategies, without collecting data for a full SOTC index.
Published: 2013

12. Rapid health transition in China, 1990–2010: findings from the Global Burden of Disease Study 2010

Author: Shicheng Yu, Xiaofeng Liang, George F. Gao, Yuhong Jiang, Gonghuan Yang, Yixin Zeng, Xia Wan, Christopher J L Murray, Theo Vos, Haidong Wang, Yu Wang, Alan D. Lopez, Mohsen Naghavi, and Maigeng Zhou
Subjects: Male, Gerontology, China, medicine.medical_specialty, Epidemiology, Health Status, Population, Article, Life Expectancy, Health Transition, Risk Factors, Air Pollution, Cause of Death, Environmental health, medicine, Humans, Disabled Persons, education, Disease burden, Aged, education.field_of_study, business.industry, Public health, Mortality rate, General Medicine, Middle Aged, Quality-adjusted life year, Years of potential life lost, Health Care Reform, Life expectancy, Female, Quality-Adjusted Life Years, Risk assessment, business
Abstract: Summary Background China has undergone rapid demographic and epidemiological changes in the past few decades, including striking declines in fertility and child mortality and increases in life expectancy at birth. Popular discontent with the health system has led to major reforms. To help inform these reforms, we did a comprehensive assessment of disease burden in China, how it changed between 1990 and 2010, and how China's health burden compares with other nations. Methods We used results of the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010) for 1990 and 2010 for China and 18 other countries in the G20 to assess rates and trends in mortality, causes of death, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE). We present results for 231 diseases and injuries and for 67 risk factors or clusters of risk factors relevant to China. We assessed relative performance of China against G20 countries (significantly better, worse, or indistinguishable from the G20 mean) with age-standardised rates and 95% uncertainty intervals. Findings The leading causes of death in China in 2010 were stroke (1·7 million deaths, 95% UI 1·5–1·8 million), ischaemic heart disease (948 700 deaths, 774 500–1 024 600), and chronic obstructive pulmonary disease (934 000 deaths, 846 600–1 032 300). Age-standardised YLLs in China were lower in 2010 than all emerging economies in the G20, and only slightly higher than noted in the USA. China had the lowest age-standardised YLD rate in the G20 in 2010. China also ranked tenth (95% UI eighth to tenth) for HALE and 12th (11th to 13th) for life expectancy. YLLs from neonatal causes, infectious diseases, and injuries in children declined substantially between 1990 and 2010. Mental and behavioural disorders, substance use disorders, and musculoskeletal disorders were responsible for almost half of all YLDs. The fraction of DALYs from YLDs rose from 28·1% (95% UI 24·2–32·5) in 1990 to 39·4% (34·9–43·8) in 2010. Leading causes of DALYs in 2010 were cardiovascular diseases (stroke and ischaemic heart disease), cancers (lung and liver cancer), low back pain, and depression. Dietary risk factors, high blood pressure, and tobacco exposure are the risk factors that constituted the largest number of attributable DALYs in China. Ambient air pollution ranked fourth (third to fifth; the second highest in the G20) and household air pollution ranked fifth (fourth to sixth; the third highest in the G20) in terms of the age-standardised DALY rate in 2010. Interpretation The rapid rise of non-communicable diseases driven by urbanisation, rising incomes, and ageing poses major challenges for China's health system, as does a shift to chronic disability. Reduction of population exposures from poor diet, high blood pressure, tobacco use, cholesterol, and fasting blood glucose are public policy priorities for China, as are the control of ambient and household air pollution. These changes will require an integrated government response to improve primary care and undertake required multisectoral action to tackle key risks. Analyses of disease burden provide a useful framework to guide policy responses to the changing disease spectrum in China. Funding Bill & Melinda Gates Foundation.
Published: 2013

13. Cohort Profile: The China Health and Retirement Longitudinal Study (CHARLS)

Author: Yaohui Zhao, James P. Smith, John Strauss, Gonghuan Yang, and Yisong Hu
Subjects: Male, Rural Population, Gerontology, Aging, China, Longitudinal study, Epidemiology, Health Status, Population, Nutritional Status, Residence Characteristics, Global health, Humans, Medicine, Longitudinal Studies, education, Cohort Profiles, Aged, Aged, 80 and over, Retirement, education.field_of_study, business.industry, General Medicine, Middle Aged, Health and Retirement Study, Health Surveys, Mental health, Mental Health, Socioeconomic Factors, Physical Fitness, Cohort, Female, Sample collection, business
Abstract: The China Health and Retirement Longitudinal Study (CHARLS) is a nationally representative longitudinal survey of persons in China 45 years of age or older and their spouses, including assessments of social, economic, and health circumstances of community-residents. CHARLS examines health and economic adjustments to rapid ageing of the population in China. The national baseline survey for the study was conducted between June 2011 and March 2012 and involved 17 708 respondents. CHARLS respondents are followed every 2 years, using a face-to-face computer-assisted personal interview (CAPI). Physical measurements are made at every 2-year follow-up, and blood sample collection is done once in every two follow-up periods. A pilot survey for CHARLS was conducted in two provinces of China in 2008, on 2685 individuals, who were resurveyed in 2012. To ensure the adoption of best practices and international comparability of results, CHARLS was harmonized with leading international research studies in the Health and Retirement Study (HRS) model. Requests for collaborations should be directed to Dr Yaohui Zhao (yhzhao@nsd.edu.cn). All data in CHARLS are maintained at the National School of Development of Peking University and will be accessible to researchers around the world at the study website. The 2008 pilot data for CHARLS are available at: http://charls.ccer.edu.cn/charls/. National baseline data for the study are expected to be released in January 2013.
Published: 2012

14. Body mass index, blood pressure, and mortality from stroke: a nationally representative prospective study of 212,000 Chinese men

Author: Margaret Smith, Rory Collins, Gei Hui, Gonghuan Yang, Zhengjing Huang, Richard Peto, Gary Whitlock, Maigeng Zhou, Zhengming Chen, and Alison Offer
Subjects: Adult, Male, China, medicine.medical_specialty, Chinese men, Blood Pressure, Body Mass Index, Surveys and Questionnaires, Internal medicine, medicine, Humans, Obesity, Prospective Studies, cardiovascular diseases, Prospective cohort study, Stroke, Aged, Advanced and Specialized Nursing, business.industry, Vascular disease, Hazard ratio, nutritional and metabolic diseases, Middle Aged, Overweight, medicine.disease, Surgery, Blood pressure, Neurology (clinical), Cardiology and Cardiovascular Medicine, business, Body mass index, Follow-Up Studies, Cohort study
Abstract: Background and Purpose— Despite previous investigations, substantial uncertainty remains about the relation between body mass index (BMI) and stroke, especially in populations with a relatively low BMI but a high stroke rate. Methods— A nationally representative prospective study of mortality included 212 000 Chinese men 40 to 79 years old without known cardiovascular disease in 1990 to 1991 who were followed up for 10 years. Standardized hazard ratios were calculated for stroke mortality by baseline systolic blood pressure (SBP) and BMI. Results— Mean SBP and BMI were 124 mm Hg and 21.7 kg/m 2 , respectively. During 10 years of follow-up, 5766 stroke deaths were recorded. There were strong, positive relations between BMI and SBP and between SBP and stroke mortality, with a 3-mm Hg higher baseline SBP associated with a 5.6% (95% CI, 5.3% to 6.0%; P 25 kg/m 2 ( P 2 , and among them, BMI was not associated with stroke mortality despite its strong association with BP (which continued to a BMI 2 ). The relation with BMI was similar for ischemic and hemorrhagic stroke but appeared to be steeper among lifelong nonsmokers than among current smokers ( P =0.01 for difference between slopes) despite similarly positive relations between BMI and SBP and between SBP and stroke risk in both smoking categories. Conclusions— High BMI was strongly associated with increased stroke mortality only among men who were overweight or obese.
Published: 2016

15. Alcohol drinking and overall and cause-specific mortality in China: nationally representative prospective study of 220,000 men with 15 years of follow-up

Author: Margaret Smith, Lijun Wang, Maigeng Zhou, Richard Peto, Yue Cai, Iona Millwood, Gonghuan Yang, Ling Yang, Paul Sherliker, Yuehua Hu, and Zhengming Chen
Subjects: Adult, Male, China, medicine.medical_specialty, Alcohol Drinking, Epidemiology, Poison control, Risk Factors, Cause of Death, Injury prevention, Humans, Medicine, Prospective Studies, Prospective cohort study, Aged, Proportional Hazards Models, Cause of death, business.industry, Proportional hazards model, Smoking, Hazard ratio, Age Factors, Absolute risk reduction, General Medicine, Middle Aged, Confidence interval, Surgery, business, Follow-Up Studies, Demography
Abstract: Background: Regular alcohol drinking contributes both favourably and adversely to health in the Western populations, but its effects on overall and cause-specific mortality in China are still poorly understood. Methods: A nationally representative prospective cohort study included 220 000 men aged 40-79 years from 45 areas in China in 1990-91, and >40 000 deaths occurred during 15 years of follow-up. Cox regression was used to relate alcohol drinking to overall and cause-specific mortality, adjusting for age, area, smoking and education. Results: Overall, 33% of the participants reported drinking alcohol regularly at baseline, consuming mainly distilled spirits, with an estimated mean amount consumed of 372 g/week (46.5 units per week). After excluding all men with prior disease at baseline and the first 3 years of follow-up, there was a 5% [95% confidence interval (CI) 2-8] excess risk of overall mortality among regular drinkers. Compared with non-drinkers, the adjusted hazard ratios among men who drank
Published: 2016

16. Prenatal Secondhand Smoke Exposure and Infant Birth Weight in China

Author: Jonathan M. Samet, Adolfo Correa, Peter S.J. Lees, Nora L. Lee, Gonghuan Yang, Maigeng Zhou, and Jie Yang
Subjects: Adult, Male, medicine.medical_specialty, China, Cross-sectional study, Health, Toxicology and Mutagenesis, Birth weight, Prevalence, lcsh:Medicine, complex mixtures, Article, Young Adult, Environmental health, Epidemiology, Medicine, Humans, Young adult, Maternal-Fetal Exchange, perinatal, Pregnancy, business.industry, Medical record, lcsh:R, Public Health, Environmental and Occupational Health, Infant, Newborn, technology, industry, and agriculture, birth weight, medicine.disease, humanities, Cross-Sectional Studies, Maternal Exposure, Gestation, population characteristics, Female, Tobacco Smoke Pollution, epidemiology, pregnancy, business, secondhand smoke
Abstract: Epidemiologic evidence provides some support for a causal association between maternal secondhand smoke (SHS) exposure during pregnancy and reduction in infant birth weight. The purpose of this cross-sectional study is to examine the magnitude of this association in China, where both prevalence and dose of SHS exposure are thought to be higher than in U.S. populations. Women who gave birth in Beijing and Changchun September 2000–November 2001 were interviewed to quantify self-reported prenatal SHS exposure. Their medical records were reviewed for data on pregnancy complications and birth outcomes. Non-smoking women who delivered term babies (≥37 weeks gestation) were included in the study (N = 2,770). Nearly a quarter of the women (24%) reported daily SHS exposure, 47% reported no prenatal exposure, and 75% denied any SHS exposure from the husband smoking at home. Overall, no deficit in mean birth weight was observed with exposure from all sources of SHS combined (+11 grams, 95% CI: +2, +21). Infants had higher mean birth weights among the exposed than the unexposed for all measures of SHS exposure. Future studies on SHS exposure and infant birth weight in China should emphasize more objective measures of exposure to quantify and account for any exposure misclassification.
Published: 2012

17. Body mass index and mortality in China: a 15-year prospective study of 220 000 men

Author: Alison Offer, Gary Whitlock, Margaret Smith, Maigeng Zhou, Gonghuan Yang, Ling Yang, Richard Peto, Zhengming Chen, and Hui Ge
Subjects: Adult, Male, China, Pediatrics, medicine.medical_specialty, Epidemiology, Gastroenterology, Body Mass Index, Bias, Risk Factors, Internal medicine, medicine, Humans, Prospective Studies, Mortality, Stomach cancer, Prospective cohort study, Stroke, Aged, Proportional Hazards Models, COPD, business.industry, Respiratory disease, General Medicine, Middle Aged, medicine.disease, Obesity, Confidence interval, business, Body mass index
Abstract: BACKGROUND: In China, there have been few large prospective studies of the associations of body mass index (BMI) with overall and cause-specific mortality that have simultaneously controlled for biases that can be caused by pre-existing disease and smoking. METHODS: Prospective cohort study of 224 064 men, of whom 40 700 died during follow-up between 1990-91 and 2006. Analyses restricted to 142 214 men aged 40-79 years at baseline with no disease history and, to further reduce bias from pre-existing disease, at least 5 years of subsequent follow-up, leaving 17 800 deaths [including 4165 stroke, 1297 coronary heart disease (CHD), 3121 chronic obstructive pulmonary disease (COPD)]. Adjusted hazard ratios (HRs) and 95% confidence intervals (95% CIs) per 5 kg/m(2) calculated within either a lower (15 to
Published: 2012

18. The prevalence of household second-hand smoke exposure and its correlated factors in six counties of China

Author: Gonghuan Yang, Mei Cz, Wang Jf, Xin Xu, Wang Cp, and Shaojun Ma
Subjects: Adult, Male, China, Health Knowledge, Attitudes, Practice, Health (social science), Passive smoking, Adolescent, Population, Smoking Prevention, Logistic regression, Social class, medicine.disease_cause, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Sex Factors, Environmental health, Medicine, Humans, 030212 general & internal medicine, Young adult, education, Aged, Smoke, education.field_of_study, 030505 public health, business.industry, Tobacco control, Smoking, 1. No poverty, Public Health, Environmental and Occupational Health, Environmental exposure, Environmental Exposure, Middle Aged, Research Papers, 3. Good health, Social Class, Female, Tobacco Smoke Pollution, 0305 other medical science, business, Epidemiologic Methods
Abstract: Objective: To study the prevalence of, and discuss factors contributing to, household second-hand smoke exposure in six counties in China, providing scientific support for the need to establish tobacco control measures in these areas. Methods: A cross-sectional survey was performed. Investigators conducted face-to-face interviews using a standardised questionnaire to collect information on demographics, passive smoking behaviours and knowledge, and attitudes towards tobacco control. The setting was six counties from the three provinces: Mianzhu and Xichong counties in Sichuan Province; Anyi and Hukou counties in Jiangxi Province; and Xinan and Yanshi counties in Henan Province. A total of 8142 non-smokers (aged 18–69) in 2004 were included in the data analysis. Household second-hand smoke exposure rate as defined as the proportion of household passive smokers in the non-smoker population was used as the measure of household second-hand smoke exposure. Results: The analysis of 8142 non-smokers revealed that, in these selected counties, the household second-hand smoke exposure rate was 48.3%. Respondents had positive attitudes towards tobacco control. Of 6972 respondents, 84.4% supported all the three tobacco control policies (banning smoking in public places, banning the selling of cigarettes to minors, banning all cigarette advertisements). In 3165 families with smokers, 87.2% of respondents reported that smokers would smoke in front of them. In 2124 families with smokers and children, 76.5% of respondents reported that smokers would smoke in front of children. As many as 42.1% of non-smokers would offer cigarettes to their guests, and only 46.8% of respondents would ask smokers to smoke outdoors. Only 6.3% of families completely forbade smoking at home. Multivariate logistic regression analysis revealed high second-hand smoke exposure for the following demographic groups: Jiangxi Province inhabitants, females, those with low education level, farmers and married respondents. Conclusions: Household second-hand smoke exposure rates in the selected counties were high. A high percentage of respondents reported that smokers would smoke in front of them and children. The pressure from non-smokers against smoking was relatively low, although offering cigarette was prevalent. Households that were completely smoking-free were rare, Further studies on these correlated factors could help us establish effective measures to reduce household second-hand smoke exposure.
Published: 2009

19. Emergence of chronic non-communicable diseases in China

Author: Xia Wan, Lingzhi Kong, Yi Zhai, Lincoln C. Chen, Gonghuan Yang, Wenhua Zhao, and Jeffrey P. Koplan
Subjects: Adult, Male, Gerontology, China, Adolescent, Health Behavior, Disease, Overweight, Decreased Physical Activity, Life Expectancy, Risk Factors, Cause of Death, Environmental health, Health care, medicine, Humans, Obesity, Aged, Window of opportunity, business.industry, Smoking, General Medicine, Middle Aged, medicine.disease, Epidemiological transition, Population Surveillance, Chronic Disease, Hypertension, Female, medicine.symptom, business
Abstract: Summary China has experienced an epidemiological transition shifting from the infectious to the chronic diseases in much shorter time than many other countries. The pace and spread of behavioural changes, including changing diets, decreased physical activity, high rates of male smoking, and other high risk behaviours, has accelerated to an unprecedented degree. As a result, the burden of chronic diseases, preventable morbidity and mortality, and associated health-care costs could now increase substantially. China already has 177 million adults with hypertension; furthermore, 303 million adults smoke, which is a third of the world's total number of smokers, and 530 million people in China are passively exposed to second-hand smoke. The prevalence of overweight people and obesity is increasing in Chinese adults and children, because of dietary changes and reduced physical activity. Emergence of chronic diseases presents special challenges for China's ongoing reform of health care, given the large numbers who require curative treatment and the narrow window of opportunity for timely prevention of disease.
Published: 2008

20. Esophageal cancer and body mass index: Results from a prospective study of 220,000 men in China and a meta-analysis of published studies

Author: Maigeng Zhou, Gary Whitlock, Zhengjing Huang, Gonghuan Yang, Margaret Smith, Alison Offer, Zhengming Chen, Gei Hui, and Richard Peto
Subjects: Adult, Male, China, Cancer Research, medicine.medical_specialty, Esophageal Neoplasms, Adenocarcinoma, Overweight, Body Mass Index, Cohort Studies, Risk Factors, Internal medicine, Odds Ratio, medicine, Humans, Prospective Studies, Mortality, Prospective cohort study, Aged, Proportional Hazards Models, Proportional hazards model, business.industry, Hazard ratio, Cancer, Middle Aged, Esophageal cancer, medicine.disease, Surgery, Oncology, Carcinoma, Squamous Cell, medicine.symptom, business, Body mass index
Abstract: Several epidemiological studies have reported on the association between body mass index (BMI) and risk of esophageal cancer, but these were mostly in Western populations where many are overweight or obese. There is little direct evidence about the relationship in China where the mean BMI is relatively low and the disease rate is high. We examined the data from a populationbased prospective study of 220,000 Chinese men aged 40–79 without a previous history of cancer (mean BMI 21.7 kg/m 2 ), which included 1,082 esophageal cancer deaths during 10 years of follow-up. Adjusted hazard ratios for death from esophageal cancer by baseline BMI category were calculated using Cox proportional hazards models. Even among men with good self-assessed health and BMI 18.5 kg/m 2 , there was a strong inverse association between BMI and death from esophageal cancer, with each 5 kg/ m 2 higher BMI associated with 25% (95%CI: 11–36%) lower esophageal cancer mortality. This inverse association persisted when analysis was restricted to men who had never smoked or when the first 5 years of follow-up were excluded. The strength of the relationship was consistent with the pooled estimate for squamous cell carcinoma of the esophagus in a meta-analysis of prospective studies (31% lower relative risk per 5 kg/m 2 higher BMI; 95% CI: 25–37%), but contrasted with that for adenocarcinoma which showed a positive association with BMI. Together, these data provide reliable evidence that in many populations low BMI is associated with an increased risk of squamous cell carcinoma of the esophagus. ' 2007 Wiley-Liss, Inc.
Published: 2007

21. Assessing depressive symptoms in persons who die of suicide in mainland China

Author: Gonghuan Yang, David L. Streiner, Kenneth R. Conner, Sonya E. Pritzker, Qijie Shen, Xiehe Liu, and Michael R. Phillips
Subjects: Adult, Male, China, medicine.medical_specialty, Poison control, Suicide prevention, Occupational safety and health, Injury prevention, medicine, Humans, Medical diagnosis, Major depressive episode, Psychiatry, Fatigue, Depression (differential diagnoses), Aged, Psychiatric Status Rating Scales, Depressive Disorder, Depression, business.industry, Reproducibility of Results, Human factors and ergonomics, Middle Aged, Affect, Suicide, Psychiatry and Mental health, Clinical Psychology, Socioeconomic Factors, Quality of Life, Female, Autopsy, medicine.symptom, business, Clinical psychology
Abstract: The potential insensitivity to depression of translated diagnostic instruments makes it difficult to assess the relationship of depressive symptoms to suicide in non-Western cultures.Addition of culturally sensitive probes and other modifications were made to the depression section of the Chinese version of the SCID; the standard SCID probes and the expanded-probes are separately used to assess each symptom of depression, the resultant diagnoses and the overall severity of depression. This modified SCID was included in the psychological autopsy interviews with family members and, separately, close associates of 887 suicides and 721 non-suicidal decedents from 23 regions of mainland China.Compared to the standard interview, the expanded-probe method increased reported prevalence of major depressive episode among suicide decedents from 26.4% (234/887) to 40.2% (357/887) and for other deaths from 1.0% (7/721) to 2.1% (15/701). The additional 131 cases identified using the expanded-probe method had substantial social impairment and a greatly elevated risk of suicide compared to those with no depressive symptoms (OR=37.0, 95% CI=17.6-77.6). Inter-observer reliability for major depressive episode between the two independent interviews was greater for the expanded probe method (ICC=0.77 vs. 0.67, P0.001). For both interview methods there was a strong dose-response relationship between suicide risk and the number and severity of depressive symptoms.This study uses proxy informants to obtain information about the psychological status of deceased subjects; the value of this expanded-probe method for the diagnosis of depression in non-Western cultures needs to be confirmed with living subjects.Adding culture-appropriate probes about depressive symptoms to standardized diagnostic instruments identifies many Chinese subjects with unrecognized depression. Dimensional measures of depressive symptoms are more powerful predictors of suicide risk than categorical diagnoses.
Published: 2007

22. The mortality patterns of lung cancer between 1990 and 2013 in Xuanwei, China

Author: Weijiang Hu, Gonghuan Yang, Gongbo Chen, Hecang Huang, Xiangyun Ma, Xiaonong Zou, Hongyan Ren, Xin Sun, Bofu Ning, and Xia Wan
Subjects: Pulmonary and Respiratory Medicine, Male, Rural Population, Cancer Research, China, Lung Neoplasms, Risk Factors, Smoke, Medicine, Humans, Lung cancer, Aged, Retrospective Studies, business.industry, Mortality rate, Age specific mortality, Retrospective cohort study, medicine.disease, Coal, Oncology, Mortality data, Air Pollution, Indoor, Death registration, Female, Rural area, business, Demography
Abstract: Objectives To explore the variations in the mortality trends, especially death due to lung cancer, from 1990 to 2013 in Xuanwei City. Materials and methods Mortality data were collected in Xuanwei during the 2nd and 3rd National Retrospective Sampling Survey on Mortality and Routine Death Registration System (DRS) during 2011–2013. According to the result of the survey on under-reported deaths, mortality data from DRS during 2011–2013 were adjusted. Disease specific mortality rate, age-standardized mortality rate (ASMR) and 45Q15 were calculated in Xuanwei and compared with those in rural areas of China. Results During three periods, 1990–1992, 2004–2005 and 2011–2013, lung cancer contributed to 56.86%, 58.45% and 63.03% of deaths from all cancers respectively with a much higher proportion than rural areas nationally. The ASMR of lung cancer for males surged from 41.43/10 5 to 88.17/10 5 during 1990–2005 and it surged from 37.70/10 5 to 74.45/10 5 for females. Although they declined slightly during 2011–2013 (82.53/10 5 and 62.62/10 5 for males and females respectively), the ASMR of lung cancer among males in Xuanwei was three times of that in rural areas in China, and it was six times higher among females. The 45Q15 of lung cancer for males in Xuanwei was 3–5 times of that in rural areas of China and for females it was 7–9 times. The high-mortality areas of lung cancer were still located in Laibin, Longchang, Wanshui and Shuanglong Communities. High-mortality areas of lung cancer expanded to their surrounding areas and those in southeast. Conclusions Although indoor air pollution caused by smoky coal has been fairly well controlled, patterns of death due to lung cancer have not obviously changed. The mortality rate of lung cancer among females was similar to that among males. Therefore, further studies should be conducted to comprehensively explore the risk factors of lung cancer in Xuanwei.
Published: 2014

23. Suicide and the unique prevalence pattern of schizophrenia in mainland China:a retrospective observational study

Author: Yue Li, Gonghuan Yang, Shuran Li, and Michael R. Phillips
Subjects: Adult, Male, China, medicine.medical_specialty, Adolescent, Schizophrenia (object-oriented programming), Poison control, Rural Health, behavioral disciplines and activities, Suicide prevention, Risk Factors, mental disorders, Epidemiology, Prevalence, Humans, Medicine, Psychiatric epidemiology, Psychiatry, business.industry, Urban Health, General Medicine, Suicide, Relative risk, Attributable risk, Schizophrenia, Female, Rural area, business
Abstract: Summary Background Unlike almost every other country in the world, the prevalence of both schizophrenia and suicide in China is higher in women than in men. Schizophrenia and suicide are important public-health problems for China that might be related to each other. We present prevalence data for schizophrenia and estimate relative and attributable risk of suicide in people with schizophrenia in mainland China. Methods We used data from the national psychiatric epidemiology study, the Ministry of Health's mortality registry, the census, and the national psychological autopsy study to estimate frequencies and rates of schizophrenia, suicide, and suicide in people with schizophrenia aged 15 years and older in mainland China during 1995–99. Findings We estimated 4·25 million people with schizophrenia in China, and 284 614 suicides and 28 737 suicides in people with schizophrenia yearly. Prevalence of schizophrenia was higher in women than men (relative risk 1·77 [95% CI 1·15–2·72]), and greater in urban than rural areas (1·62 [1·10–2·40]). Risk of suicide was greater in women than men (1·22 [1·20–1·23]) and in rural than urban areas (3·61 [3·56–3·66]). Relative risk of suicide in individuals with schizophrenia compared with those without was 23·8 (18·8–30·2); the proportion of all suicides attributable to schizophrenia was 9·7% (7·7–12·1). Relative risk of suicide in rural residents with schizophrenia versus those without was higher in men than in women (ratio of two relative risks 2·02 [1·13–3·63]), but in urban residents with schizophrenia the ratio was lower in men than women (0·56 [0·21–1·49]). Interpretation Risk factors for suicide vary in people with different mental disorders, so identification of illness-specific risk profiles would improve prediction of suicide and help tailor prevention efforts. The difference in suicide rates by sex and residential location in individuals with schizophrenia might be one of several contributing factors to the unique epidemiological pattern of schizophrenia in China.
Published: 2004

24. Determinants of salivary cotinine concentrations in Chinese male smokers

Author: Gonghuan Yang, Marion Ceraso, Ming Feng Chin, Jonathan M. Samet, Jiemin Ma, Neal L. Benowitz, and Maritta S. Jaakkola
Subjects: Adult, Male, China, Saliva, Adolescent, Urban Population, Epidemiology, Cross-sectional study, Quadratic model, medicine.medical_treatment, Saliva sample, Smoking behavior, Nicotine, chemistry.chemical_compound, Age Distribution, Risk Factors, Surveys and Questionnaires, Environmental health, Humans, Medicine, Sex Distribution, Cotinine, Aged, Probability, Aged, 80 and over, business.industry, Incidence, Smoking, Public Health, Environmental and Occupational Health, Middle Aged, Cross-Sectional Studies, chemistry, Linear Models, Smoking cessation, Female, business, medicine.drug
Abstract: Background Identifying factors that affect cotinine levels in smokers may be useful for smoking cessation programs. Our aims were to characterize the distribution of salivary cotinine levels in Chinese smokers and to investigate factors that influence cotinine concentrations. Methods In a cross-sectional study, 600 Chinese adult smokers answered a questionnaire on smoking habits and provided a saliva sample for cotinine analysis. Modification of the relation between number of cigarettes smoked and cotinine concentration by individual characteristics, smoking behavior, and type of tobacco was evaluated. Results Quadratic model provided the best fit for the relation between number of cigarettes smoked in the previous 24 hours and salivary cotinine concentration. Among those smoking up to 20 cigarettes, the median cotinine concentration was higher among younger subjects, those smoking cigarettes without filter and regular rather than light cigarettes, and those inhaling frequently and deeply. Such trends were not observed among heavier smokers. The increase in cotinine per cigarette tended to be larger in those with lower median cotinine level. Conclusions Our findings show that smoking behavior-related factors modify the relation between number of cigarettes smoked and salivary cotinine concentration. This suggests that smokers may regulate their smoking behavior to achieve a certain optimum nicotine level.
Published: 2003

25. Risk factors for suicide in China: a national case-control psychological autopsy study

Author: Li-jun Wang, Yanping Zhang, Maigeng Zhou, Huiyu Ji, Michael Phillips, and Gonghuan Yang
Subjects: Adult, Male, China, Adolescent, Poison control, Suicide prevention, Risk Factors, Injury prevention, medicine, Humans, Risk factor, Child, Depression (differential diagnoses), Aged, Cause of death, Depressive Disorder, Suicide attempt, business.industry, Human factors and ergonomics, General Medicine, Middle Aged, medicine.disease, Suicide, Logistic Models, Social Class, Case-Control Studies, Quality of Life, Wounds and Injuries, Female, Medical emergency, business, Stress, Psychological, Demography
Abstract: Summary Background Suicide is the fifth most important cause of death in China, but the reasons for the high rate and unique pattern of characteristics of those who kill themselves are unknown. Methods We pretested, and then administered a comprehensive interview to family members and close associates of 519 people who committed suicide and of 536 people who died from other injuries (controls) randomly selected from 23 geographically representative sites in China. Findings After adjustment for sex, age, location of residence, and research site, eight significant predictors of suicide remained in the final unconditional logistic regression model. In order of importance they were: high depression symptom score, previous suicide attempt, acute stress at time of death, low quality of life, high chronic stress, severe interpersonal conflict in the 2 days before death, a blood relative with previous suicidal behaviour, and a friend or associate with previous suicidal behaviour. Suicide risk increased substantially with exposure to multiple risk factors: none of the 265 deceased people who were exposed to one or fewer of the eight risk factors died by suicide, but 30% (90/299) with two or three risk factors, 85% (320/377) with four or five risk factors, and 96% (109/114) with six or more risk factors died by suicide. Interpretation Despite substantial differences between characteristics of people who commit suicide in China and the west, risk factors for suicide do not differ greatly. Suicide prevention programmes what concentrate on a single risk factor are unlikely to reduce suicide rates substantially; preventive efforts should focus on individuals exposed to multiple risk factors.
Published: 2002

26. [Case analysis of telephone interview application effect in Beijing]

Author: Xiao, Qi, Yong, Zhang, Xia, Wan, Wenjing, Zheng, Jinfang, Sun, and Gonghuan, Yang
Subjects: Adult, Interviews as Topic, Male, China, Young Adult, Adolescent, Surveys and Questionnaires, Chronic Disease, Humans, Female, Cities, Middle Aged, Aged
Abstract: To apply Computer Assisted Telephone Interview (CATI) in evaluation on effectiveness of non-communicable diseases control and prevention among general population.Totally 2450 permanent residents aged 15 to 69 years old were interviewed by telephone in Xicheng District and Changping District, Beijing. Telephone numbers were selected by simple random sampling. CATI was used to collect data. Focus group interview was used to interview telephone interviewers in order to analyze the reason of the midway refusal.93,524 telephone numbers were dialed. Survey efficiency, response rate and successful completion rate were 3.8%, 26.2% and 75.1%, respectively. The main cause resulting in low survey efficiency and response rate were no answer, busy, and refusal to answer at the beginning. The main cause which influenced successful completion rate was midway refusal to answer.Successful completion rate in this survey was high, so CATI is suitable for this survey. However, survey efficiency and response rate were too low. The emphasis was to reduce the proportion of no answer, busy and refusal in the beginning in order to improve the efficiency of this survey.
Published: 2014

27. Acceptability and adoption of handheld computer data collection for public health research in China: a case study

Author: Gonghuan Yang, Thomas E. Novotny, Tiancai Wen, Peng Zhang, Wanxing Chai, Xia Wan, Sanghyuk S. Shin, Qian Wang, Ding Ding, and H. Fisher Raymond
Subjects: Rural Population, Male, business.product_category, Urban Population, Surveys, Health informatics, Session (web analytics), 0302 clinical medicine, Beijing, Medicine, 030212 general & internal medicine, Transients and Migrants, education.field_of_study, Attitude to Computers, Health Policy, Data Collection, Smoking, Research Personnel, 3. Good health, Computer Science Applications, Laptop, Computers, Handheld, Female, Public Health, Research Article, Information Systems, Adult, medicine.medical_specialty, China, 030231 tropical medicine, Population, education, Clinical Sciences, Health Informatics, Handheld computers, Electronic data collection, 03 medical and health sciences, Clinical Research, Environmental health, Humans, Medical education, Data collection, business.industry, Computers, Handheld, Public health, Good Health and Well Being, Survey data collection, Diffusion of Innovation, business, Medical Informatics
Abstract: Background Handheld computers for data collection (HCDC) and management have become increasingly common in health research. However, current knowledge about the use of HCDC in health research in China is very limited. In this study, we administered a survey to a hard-to-reach population in China using HCDC and assessed the acceptability and adoption of HCDC in China. Methods Handheld computers operating Windows Mobile and Questionnaire Development Studio (QDS) software (Nova Research Company) were used for this survey. Questions on tobacco use and susceptibility were drawn from the Global Adult Tobacco Survey (GATS) and other validated instruments, and these were programmed in Chinese characters by local staff. We conducted a half-day training session for survey supervisors and a three-day training session for 20 interviewers and 9 supervisors. After the training, all trainees completed a self-assessment of their skill level using HCDC. The main study was implemented in fall 2010 in 10 sites, with data managed centrally in Beijing. Study interviewers completed a post-survey evaluation questionnaire on the acceptability and utility of HCDC in survey research. Results Twenty-nine trainees completed post-training surveys, and 20 interviewers completed post-data collection questionnaires. After training, more than 90% felt confident about their ability to collect survey data using HCDC, to transfer study data from a handheld computer to a laptop, and to encrypt the survey data file. After data collection, 80% of the interviewers thought data collection and management were easy and 60% of staff felt confident they could solve problems they might encounter. Overall, after data collection, nearly 70% of interviewers reported that they would prefer to use handheld computers for future surveys. More than half (55%) felt the HCDC was a particularly useful data collection tool for studies conducted in China. Conclusions We successfully conducted a health-related survey using HCDC. Using handheld computers for data collection was a feasible, acceptable, and preferred method by Chinese interviewers. Despite minor technical issues that occurred during data collection, HCDC is a promising methodology to be used in survey-based research in China.
Published: 2013

28. Peak flow as a predictor of cause-specific mortality in China: results from a 15-year prospective study of ~170,000 men

Author: Maigeng Zhou, Lijun Wang, Gonghuan Yang, Margaret Smith, Richard Peto, and Zhengming Chen
Subjects: Adult, Male, China, medicine.medical_specialty, Time Factors, Epidemiology, Respiratory Tract Diseases, Peak Expiratory Flow Rate, Predictive Value of Tests, Risk Factors, immune system diseases, Cause of Death, Neoplasms, Internal medicine, Humans, Medicine, Prospective Studies, Mortality, Prospective cohort study, Lung cancer, Aged, Proportional Hazards Models, Cause of death, COPD, business.industry, Proportional hazards model, Smoking, Hazard ratio, Cancer, General Medicine, Middle Aged, respiratory system, medicine.disease, Surgery, respiratory tract diseases, Cardiovascular Diseases, Population Surveillance, Regression Analysis, Population study, business, Follow-Up Studies, circulatory and respiratory physiology
Abstract: Background Forced expiratory volume in one second (FEV1) is inversely associated with mortality in Western populations, but few studies have assessed the associations of peak expiratory flow (PEF) with subsequent cause-specific mortality, or have used populations in developing countries, including China, for such assessments. Methods A prospective cohort study followed ∼170 000 Chinese men ranging in age from 40–69 years at baseline (1990–1991) for 15 years. In the study, height-adjusted PEF (h-PEF), which was uncorrelated with height, was calculated by dividing PEF by height. Hazard ratios (HR) for cause-specific mortality and h-PEF, adjusted for age, area of residence, smoking, and education, were calculated through Cox regression analyses. Results Of the original study population, 7068 men died from respiratory causes (non-neoplastic) and 22 490 died from other causes (including 1591 from lung cancer, 5469 from other cancers, and 10 460 from cardiovascular disease) before reaching the age of 85 years. Respiratory mortality was strongly and inversely associated with h-PEF. For h-PEF ≥ 250 L/min, the association was log-linear, with a hazard ratio (HR) of 1.29 (95% CI: 1.25–1.34) per 100 L/min reduction in h-PEF. The association was stronger but not log-linear for lower values of h-PEF. Mortality from combined other causes was also inversely associated with h-PEF, and the association was log-linear for all values of h-PEF, declining with follow-up, with HRs per 100 L/min reduction in h-PEF of 1.13 (1.10–1.15), 1.08 (1.06–1.11), and 1.06 (1.03–1.08) in three consecutive 5-year follow-up periods. Specifically, lower values of h-PEF were associated with higher mortality from cardiovascular disease and lung cancer, but not from other cancers. Conclusions A lower value of h-PEF was associated with increased mortality from respiratory and other causes, including lung cancer and cardiovascular disease, but its associations with the other causes of death declined across the follow-up period.
Published: 2013

29. Findings from 2010 Global Adult Tobacco Survey: implementation of MPOWER policy in China

Author: Lin Xiao, Yan Yang, Cong-Xiao Wang, Jason Hsia, Jian Zhang, Jie Yang, Li Xie, Gonghuan Yang, Luhua Zhao, and Qiang Li
Subjects: Adult, Male, China, Passive smoking, Health, Toxicology and Mutagenesis, media_common.quotation_subject, medicine.medical_treatment, medicine.disease_cause, Promotion (rank), Environmental health, Per capita, Medicine, Humans, Health policy, media_common, Tobacco Use Cessation, business.industry, Tobacco control, Smoking, Public Health, Environmental and Occupational Health, Tobacco Use Disorder, Health Surveys, Health promotion, Population Surveillance, Smoking cessation, Female, business
Abstract: Objective To assess the implementation of five key tobacco control policies in China: protection from second-hand smoke (SHS); offering help to quit; health warnings regarding tobacco use; the enforcement of bans on tobacco advertising, promotion, and sponsorship; and increasing tobacco taxes and prices. Methods Using 2010 Global Adults Tobacco Survey in China (GATS-China), 10 indicators are used to assess the implementation of five key tobacco control policies of MPOWER in China. Results Overall, 63.3% and 72.7% of adultsnoticed people smoking indoor workplaces and public places, respectively. Approximately 60% of smokers were not asked about their smoking habits and approximately 67% were not advised to quit on their visit to a health worker. Sixty percent of adults noticed health warning messages on cigarette packaging and in the media in the last 30 days, 63.6% stated that they would not consider quitting. Twenty percent of respondents noticed tobacco advertising, promotion, and/or sponsorship activities in the 30 days prior to the survey. Among them, 76.3% noticed the direct advertising and 50% noticed from TV programs. Although purchasing price of one pack of cigarettes ranged from 1 to 200 RMB, 50% of current smokers (about 150 million) spent 5 RMB or less on one pack of cigarette. The expenditure on 100 packets of cigarettes represents 2% of 2009 GDP per capita. Conclusion The average score for the implementation of the 5 policies of MPOWER in China is 37.3 points, indicating tobacco control policies in China is poor and there is a large gaps from the FCTC requirements.
Published: 2010

30. Risk factors for suicide in China's youth: a case-control study

Author: Dong Xu, Yanping Zhang, Michael Phillips, Gonghuan Yang, and Xianyun Li
Subjects: Male, medicine.medical_specialty, China, Adolescent, Poison control, Suicide, Attempted, Suicide prevention, Article, Life Change Events, Sex Factors, Asian People, Risk Factors, Cause of Death, Injury prevention, medicine, Humans, Risk factor, Young adult, Psychiatry, Applied Psychology, Cause of death, Depressive Disorder, Suicide attempt, business.industry, Mental health, Psychiatry and Mental health, Suicide, Adolescent Behavior, Case-Control Studies, Quality of Life, Female, business, Stress, Psychological, Demography
Abstract: BackgroundSuicide is the most common cause of death among youth in China.MethodA case-control psychological autopsy study in 23 geographically representative disease surveillance points around China collected information from family members and close associates of 114 persons aged 15–24 years who died by suicide (cases) and 91 who died of other injuries (controls).ResultsAmong the 114 suicides 61% were female, 88% lived in rural villages, 70% died by ingesting pesticides (most commonly stored in the home), 24% previously attempted suicide, and 45% met criteria of a mental illness at the time of death. Multivariate logistic regression identified several independent risk factors: severe life events within 2 days before death (OR 31.8, 95% CI 2.6–390.6), presence of any depressive symptoms within 2 weeks of death (OR 21.1, 95% CI 4.6–97.2), low quality of life in the month before death (OR 9.7, 95% CI 2.8–34.1), and acute stress at time of death (moderate: OR 3.1, 95% CI 0.8–11.9; high: OR 9.1, 95% CI 1.2–66.8). A significant interaction between mental illness at time of death and gender indicated that diagnosis was an important predictor of suicide in males (OR 14.0, 95% CI 2.6–76.5) but not in females (OR 0.3, 95% CI 0.0–3.6). Prior suicide attempt was related to suicide in the univariate analysis (OR 57.5) but could not be included in the multivariate model because no controls had made prior attempts.ConclusionsSuicide prevention efforts for youth in China must focus on restricting access to pesticides, early recognition and management of depressive symptoms and mental illnesses, improving resiliency, and enhancing quality of life.
Published: 2007

31. An urban-rural comparison of the prevalence of the metabolic syndrome in Eastern China

Author: Benjamin Caballero, Gonghuan Yang, Jiemin Ma, Wenjuan Wang, Xiaoping Weng, and Youxue Liu
Subjects: Gerontology, Adult, Male, China, Waist, Cross-sectional study, Population, Medicine (miscellaneous), Rural Health, Sensitivity and Specificity, Sex Factors, Reference Values, Urbanization, Diabetes mellitus, Prevalence, Medicine, Humans, education, National Cholesterol Education Program, Exercise, Metabolic Syndrome, education.field_of_study, Nutrition and Dietetics, business.industry, Waist-Hip Ratio, Public Health, Environmental and Occupational Health, Urban Health, Middle Aged, medicine.disease, Health Surveys, Blood pressure, Cross-Sectional Studies, Female, Metabolic syndrome, business, Demography
Abstract: ObjectiveTo assess the impact of urbanisation on the prevalence of the metabolic syndrome in Chinese adults.DesignAs part of a community-based cross-sectional survey conducted in 2002, a sample from rural and urban populations in East China was obtained. The metabolic syndrome is defined by the National Cholesterol Education Program Adult Treatment Panel III criteria (ATP III) and the modified ATP III, which recommended a lower waist circumference cut-off for Asians.SettingField sites in Jiangxi and Anhui provinces and the Jing'an District of Shanghai, China.SubjectsA total of 529 non-pregnant, non-lactating urban and rural adults, aged 20–64 years without diagnosed diabetes.ResultsDwelling in urban areas was associated with higher dietary fat intake and slightly lower total energy intake, and with significantly lower occupational physical activity. Using the ATP III criteria, the prevalence of the metabolic syndrome was significantly higher for urban than rural men (12.7 vs. 1.7%, P P = 0.17). These urban–rural differences were greatly enhanced when the modified ATP III criteria for the syndrome were used, for men (34.3 vs. 2.7%, P P = 0.07). The Asian waist circumference cut-offs (90 and 80 cm for men and women, respectively) had a better combination of sensitivity and specificity in identifying other metabolic disorders, which included high glucose, high blood pressure, high triglycerides and low high-density lipoprotein cholesterol, for this population.ConclusionFor the Chinese population, urban dwelling was associated with higher prevalence of the metabolic syndrome, especially in men.
Published: 2007

32. Cotinine concentration in smokers from different countries: relationship with amount smoked and cigarette type

Author: Gonghuan Yang, Neal L. Benowitz, Valeska Carvalho Figueiredo, Amanda L. Blackford, Witold Zatonski, Jiemin Ma, Mauricio Hernández-Ávila, Krzysztof Przewozniak, Erika Avila-Tang, and Jonathan M. Samet
Subjects: Adult, Male, China, Nicotine, Chromatography, Gas, Adolescent, Epidemiology, Saliva sample, Sampling Studies, chemistry.chemical_compound, Environmental health, Surveys and Questionnaires, medicine, Humans, Nicotinic Agonists, Pack-year, Cotinine, Saliva, Mexico, Aged, business.industry, Smoking, Outcome measures, Middle Aged, Confidence interval, Tars, Behavior, Addictive, Smoking epidemiology, Oncology, chemistry, Multicenter study, Linear Models, Female, Poland, business, Biomarkers, Brazil, medicine.drug
Abstract: This four-country study examined salivary cotinine as a marker for nicotine intake and addiction among smokers in relation to numbers and types of cigarettes smoked. Smoking characteristics of cigarette smokers in Brazil, China, Mexico, and Poland were identified using a standard questionnaire. Cotinine concentration was measured using a saliva sample from each participant; its relationship with numbers and types of cigarettes smoked was quantified by applying regression techniques. The main outcome measure was salivary cotinine level measured by gas chromatography. In all four countries, cotinine concentration increased linearly with cigarettes smoked up to 20 per day [11.3 ng/mL (95% confidence interval, 10.5-12.2)] and then stabilized as the number of cigarettes exceeded 20 [6.8 ng/mL per cigarette (95% confidence interval, 6.3-7.4) for up to 40 cigarettes]. On average, smokers of regular cigarettes consumed more cigarettes and had higher cotinine levels than light cigarette smokers. Cotinine concentration per cigarette smoked did not differ between regular and light cigarette smokers. Results suggest a saturation point for daily nicotine intake and minimal or no reduction in nicotine intake by smoking light cigarettes. (Cancer Epidemiol Biomarkers Prev 2006;15(10):1799–804)
Published: 2006

33. Body mass index and mortality from ischaemic heart disease in a lean population: 10 year prospective study of 220,000 adult men

Author: Margaret Smith, Rory Collins, Zhengming Chen, Richard Peto, Alison Offer, Hongchao Pan, Shi-Ru Niu, Lijun Wang, Jieming Ma, Gonghuan Yang, Maigeng Zhou, and Gary Whitlock
Subjects: Adult, Male, China, medicine.medical_specialty, Alcohol Drinking, Epidemiology, Population, Myocardial Ischemia, Body Mass Index, Thinness, Cause of Death, Internal medicine, medicine, Humans, Obesity, cardiovascular diseases, Risk factor, education, Prospective cohort study, Aged, Cause of death, education.field_of_study, business.industry, Smoking, Age Factors, nutritional and metabolic diseases, General Medicine, Middle Aged, Anthropometry, Surgery, Epidemiologic Methods, business, Body mass index, Cohort study
Abstract: BACKGROUND: Increased body mass index (BMI) is known to be related to ischaemic heart disease (IHD) in populations where many are overweight (BMI>or=25 kg/m2) or obese (BMI>or=30). Substantial uncertainty remains, however, about the relationship between BMI and IHD in populations with lower BMI levels. METHODS: We examined the data from a population-based, prospective cohort study of 222,000 Chinese men aged 40-79. Relative and absolute risks of death from IHD by baseline BMI were calculated, standardized for age, smoking, and other potential confounding factors. RESULTS: The mean baseline BMI was 21.7 kg/m2, and 1942 IHD deaths were recorded during 10 years of follow-up (6.5% of all such deaths). Among men without prior vascular diseases at baseline, there was a J-shaped association between BMI and IHD mortality. Above 20 kg/m2 there was a positive association of BMI with risk, with each 2 kg/m2 higher in usual BMI associated with 12% (95% CI 6-19%, 2P=0.0001) higher IHD mortality. Below this BMI range, however, the association appeared to be reversed, with risk ratios of 1.00, 1.09, and 1.15, respectively, for men with BMI 20-21.9, 18-19.9, and
Published: 2006

34. Evaluating national cause-of-death statistics: principles and application to the case of China

Author: Chalapati, Rao, Alan D, Lopez, Gonghuan, Yang, Stephen, Begg, and Jiemin, Ma
Subjects: Adult, Male, China, Adolescent, Data Collection, Middle Aged, Vital Statistics, Cause of Death, Child, Preschool, Humans, Female, InformationSystems_MISCELLANEOUS, Child, Research Article
Abstract: Mortality statistics systems provide basic information on the levels and causes of mortality in populations. Only a third of the world's countries have complete civil registration systems that yield adequate cause-specific mortality data for health policy-making and monitoring. This paper describes the development of a set of criteria for evaluating the quality of national mortality statistics and applies them to China as an example. The criteria cover a range of structural, statistical and technical aspects of national mortality data. Little is known about cause-of-death data in China, which is home to roughly one-fifth of the world's population. These criteria were used to evaluate the utility of data from two mortality statistics systems in use in China, namely the Ministry of Health-Vital Registration (MOH-VR) system and the Disease Surveillance Point (DSP) system. We concluded that mortality registration was incomplete in both. No statistics were available for geographical subdivisions of the country to inform resource allocation or for the monitoring of health programmes. Compilation and publication of statistics is irregular in the case of the DSP, and they are not made publicly available at all by the MOH-VR. More research is required to measure the content validity of cause-of-death attribution in the two systems, especially due to the use of verbal autopsy methods in rural areas. This framework of criteria-based evaluation is recommended for the evaluation of national mortality data in developing countries to determine their utility and to guide efforts to improve their value for guiding policy.
Published: 2005

35. Low-planned suicides in China

Author: Yanping Zhang, Kenneth R. Conner, Kerry L. Knox, Sean Meldrum, Michael R. Phillips, and Gonghuan Yang
Subjects: Adult, Male, medicine.medical_specialty, China, Time Factors, Adolescent, Poison control, Suicide prevention, Occupational safety and health, Asian People, Injury prevention, Medicine, Humans, Psychiatry, Applied Psychology, Multinomial logistic regression, business.industry, Social environment, Human factors and ergonomics, Middle Aged, Mental health, Psychiatry and Mental health, Suicide, Attitude, Female, business, Demography
Abstract: Background. Acts of suicide differ widely in the amount of planning preceding the act. Correlates of completed suicide in China identified in a previous investigation were re-examined to identify those that may be especially relevant to low-planned (impulsive) and high-planned suicidal behavior. The association of planning and method in completed suicide was also assessed.Method. A psychological autopsy study of 505 suicide decedents aged [ges ]18 years sampled to be representative of suicides in China was conducted. Multinomial regression analyses compared three levels of suicide planning (low, intermediate, high).Results. Women and younger individuals were more likely to carry out low-planned and intermediate-planned than high-planned acts of suicide. Greater acute stress distinguished low-planned from high-planned suicides. Ingestion of pesticides stored in the home was a more commonly employed method in low-planned than high-planned suicides.Conclusions. Low-planned suicides are more common in women, in younger individuals, and among those who are experiencing acute stress. Prevention strategies targeted at restricting access to pesticides may preferentially lower the rate of low-planned suicides.
Published: 2005

36. Prevalence of Smoking in China in 2010

Author: Jason Hsia, Qiang Li, and Gonghuan Yang
Subjects: Adult, Male, China, Adolescent, Survey result, Young Adult, Age Distribution, Environmental health, Prevalence, Humans, Medicine, Sex Distribution, Young adult, Aged, business.industry, Smoking, Chinese adults, General Medicine, Middle Aged, respiratory tract diseases, Smoking epidemiology, Socioeconomic Factors, behavior and behavior mechanisms, Female, Age distribution, business
Abstract: In this 2010 national survey of Chinese adults, almost 53% of men and more than 2% of women were current smokers. On the basis of the survey results, the authors estimate that there are more than 300 million smokers in China.
Published: 2011

37. Smoking cessation in China: findings from the 1996 national prevalence survey

Author: Yifang Zhang, Gonghuan Yang, Jonathan M. Samet, Aiping Chen, Karen Becker, Jiemin Ma, and Carl E. Taylor
Subjects: Adult, Male, medicine.medical_specialty, China, Health (social science), Adolescent, Cross-sectional study, medicine.medical_treatment, Population, Alternative medicine, Context (language use), Smoking Prevention, Models, Psychological, medicine, Prevalence, Humans, education, Aged, Disease surveillance, education.field_of_study, Motivation, business.industry, Smoking, Public Health, Environmental and Occupational Health, Original Articles, Middle Aged, Former Smoker, Cross-Sectional Studies, Physical therapy, behavior and behavior mechanisms, Smoking cessation, Female, Smoking Cessation, business, Demography
Abstract: OBJECTIVES To describe patterns of smoking and smoking cessation in China within the context of the stages of change model, using data from the 1996 national prevalence survey. DESIGN A cross sectional survey was carried out using the 145 preselected disease surveillance points, which provide a representative sample for the entire country. A standardised questionnaire on smoking was interviewer administered. SETTING The country of China. SUBJECTS 122 220 people aged 15–69 years. MAINTENANCE MEASURES Smoking cessation patterns, as defined by smoking status (current or former) and stage of change (precontemplation, contemplation, and action). RESULTS The sample included 45 995 ever smokers of whom 4336 had quit. About 72% of current smokers reported not intending to give up their smoking behaviour, and about 16% of current smokers said they intended to do so, but have not taken any action. Of all ever smokers, the percentage of former smokers was 9.5%, and 12% of current smokers had quit at least once, but relapsed by the time of the survey. The patterns were similar in men and women with regard to the stated intent to quit. Among males, the percentage of former smokers increased with age but the percentage intending to quit was constant at about 15% across age strata. The most common reason for quitting was illness. Participants with a university education were more likely to have made an attempt to quit. CONCLUSIONS The percentage of smokers contemplating quitting was low in China in 1996. The study shows that smokers in China must be mobilised to contemplate quitting and then to take action. Key points 72% of current smokers in China did not intend to give up smoking in 1996 About 10% of ever smokers in China have stopped smoking The relapse rate equals the rate of quitting Key professional groups (health workers and teachers) have similar cessation patterns to the general population The most common reason for quitting was illness Smokers in China should be mobilised to contemplate quitting and then to take action
Published: 2001

38. Smoking in China: findings of the 1996 National Prevalence Survey

Author: Jian Tan, Lixin Fan, Jing Xu, Karen Becker, Yifang Zhang, Gonghuan Yang, Jonathan M. Samet, Carl E. Taylor, and Guoming Qi
Subjects: Adult, Male, medicine.medical_specialty, China, Health Knowledge, Attitudes, Practice, Passive smoking, Adolescent, Population, medicine.disease_cause, Tobacco smoke, Random Allocation, Age Distribution, Environmental health, Surveys and Questionnaires, Epidemiology, Prevalence, Medicine, Humans, education, Aged, education.field_of_study, business.industry, Public health, Tobacco control, Smoking, General Medicine, Middle Aged, Health Surveys, Passive Smoke Exposure, Female, Tobacco Smoke Pollution, Rural area, business
Abstract: ContextAs the world's largest producer and consumer of tobacco products, China bears a large proportion of the global burden of smoking-related disease and may be experiencing a tobacco epidemic.ObjectiveTo develop an evidence-based approach supporting tobacco control initiatives in China.Design and SettingA population-based survey consisting of a 52-item questionnaire that included information on demographics, smoking history, smoking-related knowledge and attitudes, cessation, passive smoke exposure, and health status was administered in 145 disease surveillance points in the 30 provinces of China from March through July 1996.ParticipantsA nationally representative random sample of 128,766 persons aged 15 to 69 years were asked to participate; 120,298 (93.8%) provided data and were included in the final analysis. About two thirds of those sampled were from rural areas and one third were from urban areas.Main Outcome MeasuresCurrent smoking patterns and attitudes; changes in smoking patterns and attitudes compared with results of a previous national survey conducted in 1984.ResultsA total of 41,187 respondents smoked at least 1 cigarette per day, accounting for 34.1% of the total number of respondents, an increase of 3.4 percentage points since 1984. Current smoking continues to be prevalent among more men (63%) than women (3.8%). Age at smoking initiation declined by about 3 years for both men and women (from 28 to 25 years). Only a minority of smokers recognized that lung cancer (36%) and heart disease (4%) can be caused by smoking. Of the nonsmokers, 53.5% were exposed to environmental tobacco smoke at least 15 minutes per day on more than 1 day per week. Respondents were generally supportive of tobacco control measures.ConclusionThe high rates of smoking in men found in this study signal an urgent need for smoking prevention and cessation efforts; tobacco control initiatives are needed to maintain or decrease the currently low smoking prevalence in women.
Published: 1999

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