502 results on '"Amado D"'
Search Results
52. The effect of vitamin D supplementation on serum lipids in postmenopausal women with diabetes: A randomized controlled trial
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Muñoz-Aguirre, Paloma, Flores, Mario, Macias, Nayeli, Quezada, Amado D., Denova-Gutiérrez, Edgar, and Salmerón, Jorge
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- 2015
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53. [Changes in anemia status in Mexican children: a longitudinal study]
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Armando García Guerra, Alvin R. Acosta Magaña, Veronica Mundo Rosas, Amado D. Quezada Sánchez, Carlos Galindo Gómez, Fabiola Mejía Rodríguez, and Ana Cecilia Fernández Gaxiola
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Nutrition and Dietetics ,Medicine (miscellaneous) - Abstract
to evaluate longitudinal change in anemia and its association with indigenous status, socioeconomic status (SES), and food insecurity (FI) in Mexican children.a longitudinal study in 1164 children under 18 months of age in rural communities. Hemoglobin concentration was measured in 2008 and 2012, and changes in anemia status were determined. Indigenous status, SES and FI were obtained in 2008, and their associations with four categories of change in anemia status were assessed through multinomial logistic regression models including adjustment covariates.in 2008, 40.5 % of children had anemia, and 85.2 % of these did not have anemia in 2012, whereas 9.9 % of those who did not have anemia in 2008 had developed it in 2012. The distributions of the categories of change in anemia status were not associated with FI, while statistically significant differences were detected according to indigenism and NSE.the high prevalence of anemia that affects the child population justifies the implementation of interventions based on evidence, of proven effectiveness to combat it.
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- 2022
54. Global, regional, and national incidence and mortality for HIV, tuberculosis, and malaria during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013
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Murray, Christopher J L, Ortblad, Katrina F, Guinovart, Caterina, Lim, Stephen S, Wolock, Timothy M, Roberts, D Allen, Dansereau, Emily A, Graetz, Nicholas, Barber, Ryan M, Brown, Jonathan C, Wang, Haidong, Duber, Herbert C, Naghavi, Mohsen, Dicker, Daniel, Dandona, Lalit, Salomon, Joshua A, Heuton, Kyle R, Foreman, Kyle, Phillips, David E, Fleming, Thomas D, Flaxman, Abraham D, Phillips, Bryan K, Johnson, Elizabeth K, Coggeshall, Megan S, Abd-Allah, Foad, Abera, Semaw Ferede, Abraham, Jerry P, Abubakar, Ibrahim, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen Me, Achoki, Tom, Adeyemo, Austine Olufemi, Adou, Arsène Kouablan, Adsuar, José C, Agardh, Emilie Elisabet, Akena, Dickens, Al Kahbouri, Mazin J, Alasfoor, Deena, Albittar, Mohammed I, Alcalá-Cerra, Gabriel, Alegretti, Miguel Angel, Alemu, Zewdie Aderaw, Alfonso-Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Alla, Francois, Allen, Peter J, Alsharif, Ubai, Alvarez, Elena, Alvis-Guzman, Nelson, Amankwaa, Adansi A, Amare, Azmeraw T, Amini, Hassan, Ammar, Walid, Anderson, Benjamin O, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arsenijevic, Valentina S Arsic, Artaman, Ali, Asghar, Rana J, Assadi, Reza, Atkins, Lydia S, Badawi, Alaa, Balakrishnan, Kalpana, Banerjee, Amitava, Basu, Sanjay, Beardsley, Justin, Bekele, Tolesa, Bell, Michelle L, Bernabe, Eduardo, Beyene, Tariku Jibat, Bhala, Neeraj, Bhalla, Ashish, Bhutta, Zulfiqar A, Abdulhak, Aref Bin, Binagwaho, Agnes, Blore, Jed D, Basara, Berrak Bora, Bose, Dipan, Brainin, Michael, Breitborde, Nicholas, Castañeda-Orjuela, Carlos A, Catalá-López, Ferrán, Chadha, Vineet K, Chang, Jung-Chen, Chiang, Peggy Pei-Chia, Chuang, Ting-Wu, Colomar, Mercedes, Cooper, Leslie Trumbull, Cooper, Cyrus, Courville, Karen J, Cowie, Benjamin C, Criqui, Michael H, Dandona, Rakhi, Dayama, Anand, De Leo, Diego, Degenhardt, Louisa, Del Pozo-Cruz, Borja, Deribe, Kebede, Des Jarlais, Don C, Dessalegn, Muluken, Dharmaratne, Samath D, Dilmen, Uğur, Ding, Eric L, Driscoll, Tim R, Durrani, Adnan M, Ellenbogen, Richard G, Ermakov, Sergey Petrovich, Esteghamati, Alireza, Faraon, Emerito Jose A, Farzadfar, Farshad, Fereshtehnejad, Seyed-Mohammad, Fijabi, Daniel Obadare, Forouzanfar, Mohammad H, Fra.Paleo, Urbano, Gaffikin, Lynne, Gamkrelidze, Amiran, Gankpé, Fortuné Gbètoho, Geleijnse, Johanna M, Gessner, Bradford D, Gibney, Katherine B, Ginawi, Ibrahim Abdelmageem Mohamed, Glaser, Elizabeth L, Gona, Philimon, Goto, Atsushi, Gouda, Hebe N, Gugnani, Harish Chander, Gupta, Rajeev, Gupta, Rahul, Hafezi-Nejad, Nima, Hamadeh, Randah Ribhi, Hammami, Mouhanad, Hankey, Graeme J, Harb, Hilda L, Haro, Josep Maria, Havmoeller, Rasmus, Hay, Simon I, Hedayati, Mohammad T, Pi, Ileana B Heredia, Hoek, Hans W, Hornberger, John C, Hosgood, H Dean, Hotez, Peter J, Hoy, Damian G, Huang, John J, Iburg, Kim M, Idrisov, Bulat T, Innos, Kaire, Jacobsen, Kathryn H, Jeemon, Panniyammakal, Jensen, Paul N, Jha, Vivekanand, Jiang, Guohong, Jonas, Jost B, Juel, Knud, Kan, Haidong, Kankindi, Ida, Karam, Nadim E, Karch, André, Karema, Corine Kakizi, Kaul, Anil, Kawakami, Norito, Kazi, Dhruv S, Kemp, Andrew H, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Khader, Yousef Saleh, Khalifa, Shams Eldin Ali Hassan, Khan, Ejaz Ahmed, Khang, Young-Ho, Khonelidze, Irma, Kinfu, Yohannes, Kinge, Jonas M, Knibbs, Luke, Kokubo, Yoshihiro, Kosen, S, Defo, Barthelemy Kuate, Kulkarni, Veena S, Kulkarni, Chanda, Kumar, Kaushalendra, Kumar, Ravi B, Kumar, G Anil, Kwan, Gene F, Lai, Taavi, Balaji, Arjun Lakshmana, Lam, Hilton, Lan, Qing, Lansingh, Van C, Larson, Heidi J, Larsson, Anders, Lee, Jong-Tae, Leigh, James, Leinsalu, Mall, Leung, Ricky, Li, Yichong, Li, Yongmei, De Lima, Graça Maria Ferreira, Lin, Hsien-Ho, Lipshultz, Steven E, Liu, Shiwei, Liu, Yang, Lloyd, Belinda K, Lotufo, Paulo A, Machado, Vasco Manuel Pedro, Maclachlan, Jennifer H, Magis-Rodriguez, Carlos, Majdan, Marek, Mapoma, Christopher Chabila, Marcenes, Wagner, Marzan, Melvin Barrientos, Masci, Joseph R, Mashal, Mohammad Taufiq, Mason-Jones, Amanda J, Mayosi, Bongani M, Mazorodze, Tasara T, Mckay, Abigail Cecilia, Meaney, Peter A, Mehndiratta, Man Mohan, Mejia-Rodriguez, Fabiola, Melaku, Yohannes Adama, Memish, Ziad A, Mendoza, Walter, Miller, Ted R, Mills, Edward J, Mohammad, Karzan Abdulmuhsin, Mokdad, Ali H, Mola, Glen Liddell, Monasta, Lorenzo, Montico, Marcella, Moore, Ami R, Mori, Rintaro, Moturi, Wilkister Nyaora, Mukaigawara, Mitsuru, Murthy, Kinnari S, Naheed, Aliya, Naidoo, Kovin S, Naldi, Luigi, Nangia, Vinay, Narayan, K M Venkat, Nash, Denis, Nejjari, Chakib, Nelson, Robert G, Neupane, Sudan Prasad, Newton, Charles R, Ng, Marie, Nisar, Muhammad Imran, Nolte, Sandra, Norheim, Ole F, Nowaseb, Vincent, Nyakarahuka, Luke, Oh, In-Hwan, Ohkubo, Takayoshi, Olusanya, Bolajoko O, Omer, Saad B, Opio, John Nelson, Orisakwe, Orish Ebere, Pandian, Jeyaraj D, Papachristou, Christina, Caicedo, Angel J Paternina, Patten, Scott B, Paul, Vinod K, Pavlin, Boris Igor, Pearce, Neil, Pereira, David M, Pervaiz, Aslam, Pesudovs, Konrad, Petzold, Max, Pourmalek, Farshad, Qato, Dima, Quezada, Amado D, Quistberg, D Alex, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Rahman, Sajjad Ur, Raju, Murugesan, Rana, Saleem M, Razavi, Homie, Reilly, Robert Quentin, Remuzzi, Giuseppe, Richardus, Jan Hendrik, Ronfani, Luca, Roy, Nobhojit, Sabin, Nsanzimana, Saeedi, Mohammad Yahya, Sahraian, Mohammad Ali, Samonte, Genesis May J, Sawhney, Monika, Schneider, Ione J C, Schwebel, David C, Seedat, Soraya, Sepanlou, Sadaf G, Servan-Mori, Edson E, Sheikhbahaei, Sara, Shibuya, Kenji, Shin, Hwashin Hyun, Shiue, Ivy, Shivakoti, Rupak, Sigfusdottir, Inga Dora, Silberberg, Donald H, Silva, Andrea P, Simard, Edgar P, Singh, Jasvinder A, Skirbekk, Vegard, Sliwa, Karen, Soneji, Samir, Soshnikov, Sergey S, Sreeramareddy, Chandrashekhar T, Stathopoulou, Vasiliki Kalliopi, Stroumpoulis, Konstantinos, Swaminathan, Soumya, Sykes, Bryan L, Tabb, Karen M, Talongwa, Roberto Tchio, Tenkorang, Eric Yeboah, Terkawi, Abdullah Sulieman, Thomson, Alan J, Thorne-Lyman, Andrew L, Towbin, Jeffrey A, Traebert, Jefferson, Tran, Bach X, Dimbuene, Zacharie Tsala, Tsilimbaris, Miltiadis, Uchendu, Uche S, Ukwaja, Kingsley N, Uzun, Selen Begüm, Vallely, Andrew J, Vasankari, Tommi J, Venketasubramanian, N, Violante, Francesco S, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Waller, Stephen, Wallin, Mitchell T, Wang, Linhong, Wang, XiaoRong, Wang, Yanping, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Westerman, Ronny, White, Richard A, Wilkinson, James D, Williams, Thomas Neil, Woldeyohannes, Solomon Meseret, Wong, John Q, Xu, Gelin, Yang, Yang C, Yano, Yuichiro, Yentur, Gokalp Kadri, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa, Yu, Chuanhua, Jin, Kim Yun, El Sayed Zaki, Maysaa, Zhao, Yong, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Jun, Zou, Xiao Nong, Lopez, Alan D, and Vos, Theo
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- 2014
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55. Perception and Understanding of Guideline Daily Amount and Warning Labeling among Mexican Adults during the Law Modification Period
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Campos-Nonato, Ismael, primary, Cervantes-Armenta, Manuel A., additional, Pacheco-Miranda, Selene, additional, Quezada-Sánchez, Amado D., additional, Contreras-Manzano, Alejandra, additional, Barquera, Simón, additional, and Vargas-Meza, Jorge, additional
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- 2022
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56. Differential Effects of Three Nutritional Supplements on the Nutrient Intake of Pregnant Women Enrolled in a Conditional Cash Transfer Program in Mexico: A Cluster Randomized Trial
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Mejía-Rodríguez, Fabiola, primary, Quezada-Sánchez, Amado D., additional, Gómez-Humarán, Ignacio Méndez, additional, García-Feregrino, Raquel, additional, García-Guerra, Armando, additional, Fernández-Gaxiola, Ana Cecilia, additional, and Neufeld, Lynnette M., additional
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- 2022
- Full Text
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57. Early neurological development and nutritional status in Mexican socially deprived contexts
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Serván-Mori, Edson, primary, Fuentes-Rivera, Evelyn, additional, Quezada, Amado D., additional, Pineda-Antunez, Carlos, additional, del Carmen Hernández-Chávez, María, additional, García-Martínez, Angélica, additional, Madrigal, Abby, additional, García-Feregrino, Raquel, additional, Santiago-Angelino, Tania, additional, Hernández-Serrato, María, additional, and Schnaas, Lourdes, additional
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- 2022
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58. Perfil nutricional y estrategias de publicidad en el empaque de alimentos procesados de trigo y maíz en la Ciudad de México
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Jason Donovan, Joaquín Alejandro Marrón-Ponce, Amado D Quezada, Selene Pacheco-Miranda, Miriam E. Perez-Luna, Armando García-Guerra, Ana Cecilia Fernández-Gaxiola, and Carlos Cruz-Casarrubias
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media_common.quotation_subject ,Public Health, Environmental and Occupational Health ,Art ,Public aspects of medicine ,RA1-1270 ,Humanities ,Zea mays ,media_common - Abstract
Objetivo. Evaluar la asociación entre el perfil nutricional y las estrategias de publicidad de alimentos procesados de trigo y maíz (APTM) ofertados en puntos de venta de la Ciudad de México. Material y métodos. Se recolectó información del contenido nutricional y tipos de publicidad para doce categorías de APTM en 58 puntos de venta localizados en zonas de niveles socioeconómicos (NSE) bajo y alto. Resultados. El 8.5 y 10.7% de APTM en NSE bajo y alto fueron saludables, respectivamente. ≤12% de los APTM fueron saludables, excepto harinas (~30%) y pastas (~95%). Entre ambos NSE, de 28.3% a 31.9% de APTM usaron personajes, de 46.5% a 50.1% promociones y de 38.2% a 41.3% claims. Se encontraron asociaciones significativas (p
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- 2020
59. Non-Migrant Paid Domestic Workers and Depressive Symptoms: A Mixed-Methods Systematic Review
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Germán Guerra, Arturo Júarez-García, Claudine Burton-Jeangros, Antoine Flahault, Amado D. Quezada-Sánchez, and Nelly Salgado-de-Snyder
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Transients and Migrants ,Occupational Stress ,Cross-Sectional Studies ,Depression ,Salaries and Fringe Benefits ,Public Health, Environmental and Occupational Health ,Humans ,Female - Abstract
Health of non-migrant paid domestic workers (PDWs) has seldom been studied. This review examines the relationship between being a non-migrant paid domestic worker and manifesting depressive symptoms (DS). Following a mixed-methods systematic review protocol, we found 10 relevant cross-sectional studies conducted in African, Asian, and Latin American countries. Depressive symptoms prevalence reported in quantitative studies ranged from 28% (CI: 22-35) to 53% (CI: 46-60). Qualitative evidence points towards structural conditions (poverty and intersectional discrimination) as drivers of female job placement in domestic work. Qualitative and quantitative evidence suggest that DS occurs more frequently in PDWs than other workers in the informal labor market. Psychosocial risks, working conditions, and workplace abuse play an intervening role in the development of DS. Future longitudinal research and adequate sampling methods are needed to examine protective factors, perceptions of working conditions, and work-family conflict in PDWs to better assess the development of DS among them.
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- 2022
60. Consumption of Micronutrient Powder, Syrup or Fortified Food Significantly Improves Zinc and Iron Status in Young Mexican Children: A Cluster Randomized Trial
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García-Guerra, Armando, primary, Rivera, Juan A., additional, Neufeld, Lynnette M., additional, Quezada-Sánchez, Amado D., additional, Dominguez Islas, Clara, additional, Fernández-Gaxiola, Ana Cecilia, additional, and Bonvecchio Arenas, Anabelle, additional
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- 2022
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61. A behavioral economics analysis of the participation in early childhood development social programs promoted by civil societies in Mexico
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Serván-Mori, Edson, primary, Pineda-Antúnez, Carlos, additional, Bravo-Ruiz, María L., additional, Molina, Mariana, additional, Ramírez-Baca, Martín I., additional, García-Martínez, Angélica, additional, Quezada-Sánchez, Amado D., additional, and Orozco-Núñez, Emanuel, additional
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- 2022
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62. Prevalence of Depression and Generalized Anxiety Disorder Among Mexican Indigenous Adolescents and Young Adults: Challenges for Healthcare
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Amado D Quezada, María Cecilia González-Robledo, Gustavo Nigenda, Edson Serván-Mori, Luz María González-Robledo, and Fátima Gabriela Rodríguez-Cuevas
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Male ,050103 clinical psychology ,medicine.medical_specialty ,Generalized anxiety disorder ,Adolescent ,Anxiety ,Indigenous ,Young Adult ,Health care ,Prevalence ,Developmental and Educational Psychology ,medicine ,Humans ,0501 psychology and cognitive sciences ,Young adult ,Psychiatry ,Mexico ,Generalized Anxiety Disorder Scale ,Depression (differential diagnoses) ,Depressive Disorder ,Primary Health Care ,Depression ,business.industry ,05 social sciences ,medicine.disease ,Anxiety Disorders ,Mental health ,Psychiatry and Mental health ,Mental Health ,Pediatrics, Perinatology and Child Health ,Indians, North American ,Female ,medicine.symptom ,business ,Psychology ,050104 developmental & child psychology - Abstract
Providing evidence on mental disorders in indigenous adolescents is critical to achieving universal health coverage (UHC). The prevalence of symptoms of depression and generalized anxiety disorder symptoms were estimated for 2082 adolescents aged 14-20 years in Chiapas, Mexico. Mental disorders were assessed using the 9-item Patient-Health Questionnaire and the 7-item Generalized Anxiety Disorder Scale. Among the adolescents evaluated, 35.8% suffered from depression or generalized anxiety disorder. Of those, 6.1% reported a previous diagnosis. 32.1% of adolescents with both mental disorders reported having attempted suicide. Gender, substance use, adverse living experiences and living conditions were correlated to the presence of depression and/or generalized anxiety disorder. It is mandatory for Mexican health authorities to develop effective instruments aiming to screen and diagnose mental health conditions in adolescents, as well as to provide timely treatment in primary health-care units.
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- 2020
63. Association between vitamin D deficiency and common variants of Vitamin D binding protein gene among Mexican Mestizo and indigenous postmenopausal women
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Angélica Martínez-Hernández, Jorge Salmerón, Mayeli M. Martínez-Aguilar, Amado D Quezada-Sánchez, Berenice Rivera-Paredez, Mario Flores, Paula Ramírez-Palacios, Lorena Orozco, Alberto Hidalgo-Bravo, A. de la Cruz-Montoya, Eric G. Ramírez-Salazar, Miguel Cid, Rafael Velázquez-Cruz, and Edgar Denova-Gutiérrez
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Vitamin D-binding protein ,Endocrinology, Diabetes and Metabolism ,Physiology ,030209 endocrinology & metabolism ,Single-nucleotide polymorphism ,Polymorphism, Single Nucleotide ,vitamin D deficiency ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Endocrinology ,Gene Frequency ,Population Groups ,Ethnicity ,medicine ,Humans ,Genetic Predisposition to Disease ,Genetic variability ,Vitamin D ,Mexico ,Alleles ,Genetic Association Studies ,Aged ,Genetic association ,business.industry ,Vitamin D-Binding Protein ,Haplotype ,Middle Aged ,Vitamin D Deficiency ,medicine.disease ,Postmenopause ,Cross-Sectional Studies ,030220 oncology & carcinogenesis ,Cohort ,Female ,business ,Cohort study - Abstract
Vitamin D deficiency (VDD) and polymorphisms in the group-specific component (GC) gene are known to be associated in different populations. However, the effects of such genetic variants may vary across different populations. Thus, the objective of this study was to estimate the association between Vitamin D-Binding Protein (VDBP) haplotypes and VDD in mestizo postmenopausal women and Mexican Amerindian ethnic groups. This was a cross-sectional study of 726 postmenopausal Mexican women from the Health Workers Cohort Study (HWCS) and 166 postmenopausal women from the Metabolic Analysis in an Indigenous Sample (MAIS) cohort in Mexico. GC polymorphisms (rs7045 and rs4588) were analyzed by TaqMan probes. Serum 25-hydroxyvitamin D [25(OH)D] levels were measured by Chemiluminescent Microparticle Immuno Assay. The prevalence of VDD serum 25(OH)D
- Published
- 2020
64. A Fortified Food Can Be Replaced by Micronutrient Supplements for Distribution in a Mexican Social Protection Program Based on Results of a Cluster-Randomized Trial and Costing Analysis
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Neufeld, Lynnette M, García-Guerra, Armando, Quezada, Amado D, Théodore, Florence, Bonvecchio Arenas, Anabelle, Islas, Clara Domínguez, Garcia-Feregrino, Raquel, Hernandez, Amira, Colchero, Arantxa, and Habicht, Jean Pierre
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030309 nutrition & dietetics ,Anemia ,growth ,1000 days ,Medicine (miscellaneous) ,Public Policy ,fortified food ,03 medical and health sciences ,0302 clinical medicine ,implementation research ,Pregnancy ,Environmental health ,medicine ,Cluster Analysis ,Humans ,Lactation ,Micronutrients ,030212 general & internal medicine ,Cluster randomised controlled trial ,Fortified Food ,Mexico ,micronutrient powders ,0303 health sciences ,Nutrition and Dietetics ,micronutrient syrup ,business.industry ,Conditional cash transfer ,Infant ,medicine.disease ,Micronutrient ,anemia ,Body Height ,Malnutrition ,Dietary Supplements ,Food, Fortified ,Costs and Cost Analysis ,Female ,business ,Postpartum period ,Supplement - Abstract
Background Despite positive nutrition impacts, the prevalence of malnutrition among beneficiaries of Mexico's conditional cash transfer (CCT) program remains high. Greater nutrition impact may have been constrained by the type of nutritional supplements provided. Objective The objective of this study was to inform a potential modification to the supplements distributed to pregnant and lactating women and children. Methods Impact was assessed using 2 cluster-randomized trials (pregnant women, children) run simultaneously. Communities (n = 54) were randomly assigned to the fortified foods provided by the program (Nutrivida women, Nutrisano children) or alternatives: tablets (women), syrup (children), or micronutrient powders for women (MNP-W) and children (MNP-C). Each supplement for women/children contained the same micronutrients based on the formulations of Nutrivida and Nutrisano, respectively. Pregnant women (aged >18 y) were recruited before 25 weeks of gestation and followed to 3 mo postpartum. Children aged 6–12 mo were recruited and followed to age 24 mo. Primary outcomes were anemia for women and length growth for children. Statistical analyses appropriate for cluster-randomized designs were used, and structural equation modeling to estimate dose-response effects. Supplement costs per beneficiary (daily dose for 18 mo) were estimated for production and distribution. Results There was no significant difference in change of anemia prevalence between supplement groups in women, or in length growth between groups in children. One daily dose of any supplement was associated with 0.8 cm greater length growth. From baseline to age 24 mo, the prevalence of anemia in the Nutrisano, syrup, and MNP-C groups decreased by 36.7, 40.8, and 37.9 percentage points, respectively (within-group, P < 0.05; between groups, P > 0.05). Costs per beneficiary ranged from $12.1 (MNP-C) to $94.8 (Nutrivida). Conclusions The CCT program could distribute alternative supplements at lower cost per beneficiary without compromising potential for impact. Acceptance among beneficiaries should also be considered in choice of alternatives. This trial was registered at www.clinicaltrials.gov as NCT00531674.
- Published
- 2019
65. Fortification of bakery and corn masa–based foods in Mexico and dietary intake of folic acid and folate in Mexican national survey data
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Salvador Villalpando, M. Verónica Ponce-Castañeda, Ligi Paul, Teresa Shamah-Levy, Josefina Romero-Rendón, Amado D Quezada, Tania G Sánchez-Pimienta, Manuela Orjuela, Silvia Bhatt-Carreño, Fabiola Mejía-Rodríguez, and Maria A Castro
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Adult ,0301 basic medicine ,Adolescent ,Flour ,Fortification ,Population ,Medicine (miscellaneous) ,Zea mays ,Young Adult ,03 medical and health sciences ,Folic Acid ,0302 clinical medicine ,Animal science ,Nutrient ,Corn flour ,Humans ,Medicine ,Folate intake ,030212 general & internal medicine ,Child ,education ,Mexico ,Triticum ,Aged ,education.field_of_study ,030109 nutrition & dietetics ,Nutrition and Dietetics ,business.industry ,Dietary intake ,Nutritional Requirements ,Infant ,Bread ,Middle Aged ,Nutrition Surveys ,Original Research Communications ,Folic acid ,Dietary Reference Intake ,Child, Preschool ,Food, Fortified ,Female ,business - Abstract
Background In Mexico, wheat and corn flour fortification with folic acid (FA) was implemented in 2001 and mandated in 2008, but without direct enforcement. Current Mexican nutrient-content tables do not account for FA contained in bakery bread and corn masa-based foods, which are dietary staples in Mexico. Objective The objective of this study was to examine the impact of FA fortification of dietary staples on the proportion of the population consuming below the Estimated Average Requirement (EAR) for folate or above the Tolerable Upper Intake Level (UL) for FA. Methods We measured FA and folate content in dietary staples (bakery bread and tortillas) using microbial assays and MS, and we recalculated FA intake from 24-h recall dietary intake data collected in the 2012 Mexican National Health and Nutrition Survey (Encuesta Nacional de Salud y Nutricion) utilizing estimates from our food measurements, using nutrient concentrations from tortillas to approximate nutrient content of other corn masa-derived foods. The revised FA intake estimates were used to examine population-level intake of FA and dietary folate equivalent (DFE) accounting for geographic differences in FA content with statistical models. Results FA content in dietary staples was variable, whereas use of FA-fortified flour in corn masa tortillas increased with population size in place of residence. Accounting for dietary staples' FA fortification increased population estimates for FA and DFE intake, resulting in a lower proportion with intake below the EAR and a higher proportion with intake above the UL. Despite accounting for FA-fortified staple foods, 9-33% of women of childbearing age still have intake below the EAR, whereas up to 12% of younger children have intake above the UL. Conclusions Unregulated FA fortification of dietary staples leads to unpredictable total folate intake without adequately impacting the intended target. Our findings suggest that monitoring, evaluation, and enforcement of mandatory fortification policies are needed. Without these, alternate strategies may be needed in order to reach women of childbearing age while avoiding overexposing children.
- Published
- 2019
66. Changes in anemia status in Mexican children: a longitudinal study
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García Guerra, Armando, primary, Acosta Magaña, Alvin R., additional, Mundo Rosas, Veronica, additional, Quezada Sánchez, Amado D., additional, Galindo Gómez, Carlos, additional, Mejía Rodríguez, Fabiola, additional, and Fernández Gaxiola, Ana Cecilia, additional
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- 2022
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67. Dietary inflammatory index and bone mineral density in Mexican population
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Berenice Rivera-Paredez, Amado D. Quezada-Sánchez, Karina Robles-Rivera, Alberto Hidalgo-Bravo, Edgar Denova-Gutiérrez, Guadalupe León-Reyes, Yvonne N. Flores, Jorge Salmerón, and Rafael Velázquez-Cruz
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Adult ,Cohort Studies ,Male ,Absorptiometry, Photon ,Cross-Sectional Studies ,Lumbar Vertebrae ,Bone Density ,Femur Neck ,Endocrinology, Diabetes and Metabolism ,Humans ,Female ,Longitudinal Studies ,Middle Aged - Abstract
Dietary inflammatory index has been associated with bone loss. In this longitudinal study, we reported that changes in dietary inflammatory index were associated with a reduction in bone mineral density of the total hip and femoral neck in males and females ≥ 45 years, but not in individuals 45 years.Previous studies have suggested that an inflammatory environment can affect bone mineral density (BMD). However, most of the studies have been done in postmenopausal women. Thus, longitudinal studies in different age groups and sex are necessary to evaluate the longitudinal association between dietary inflammatory index (DII) and BMD in Mexican adults.A total of 1,486 participants of the Health Workers Cohort Study were included in this study. The DII was estimated with data retrieved through a semi-quantitative food frequency questionnaire. Total hip, femoral neck, and lumbar spine BMD were measured by dual-energy X-ray absorptiometry. Linear regression models for cross-sectional associations and fixed effects linear regression models for longitudinal association were estimated, and both models were stratified by sex and age groups ( 45 and ≥ 45 years).We did not observe cross-sectional associations between DII and the different BMD sites at baseline. In contrast, women and men ≥ 45 years in the 25th quartile of changes in DII were associated with a gain of 0.067 g/cmOur data suggest that changes in the DII score are associated with changes in total hip and femoral neck BMD among Mexican population.
- Published
- 2021
68. Predictors of maternal knowledge on early childhood development in highly marginalized communities in Mexico: Implications for public policy
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Edson Serván-Mori, Martín I. Ramírez-Baca, Evelyn Fuentes-Rivera, Angélica García-Martínez, Amado D. Quezada-Sánchez, María del Carmen Hernández-Chávez, Fabián Olvera-Flores, Dayana Pineda-Pérez, Alberto Zelocuatecatl-Aguilar, Emanuel Orozco-Núñez, and Lourdes Schnaas
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Male ,Infant, Newborn ,Infant ,Experimental and Cognitive Psychology ,Public Policy ,General Medicine ,Child Development ,Arts and Humanities (miscellaneous) ,Child, Preschool ,Surveys and Questionnaires ,Developmental and Educational Psychology ,Humans ,Educational Status ,Female ,Mexico - Abstract
Efforts to identify the predictors of maternal knowledge on Early Child Development (ECD) have proven inconclusive thus far, particularly with respect to socially deprived contexts in Low- and Middle-Income Countries (LMICs). We quantified the extent of ECD knowledge among mothers who were the primary caregivers of 0-38-month-old infants in marginalized communities in Mexico. We also explored the characteristics of the children, both individually and with regard to their households, given the influence of these factors on childhood development.We analyzed primary data obtained through a questionnaire administered to mothers who were the primary caregivers of 1045 girls and boys 0-38 months of age. The instrument was specifically designed for our study in order to explore the knowledge of participants about physical, neurological and psycho-affective development during childhood. We performed fractional regression analysis to assess the predictors of ECD knowledge.The mean score of maternal ECD knowledge increased with their age and schooling as well as with their levels of cognitive ability and self-esteem. Irrespective of age at first birth, mean knowledge was relatively high for women with high school education and low for women with elementary or no formal education, a gradient with respect to age at fist birth was more marked among women with middle school education. ECD knowledge scores increased among mothers from households enjoying higher socioeconomic levels and from households with health insurance. Scores were lower for indigenous households regardless of their participation in social programs.Public policies on ECD should promote programs that are not only adapted to specific contexts, but also designed to improve shared child-rearing, early childhood care and as well as psycho-emotional education skills as a pathway to healthier ECD. The participation of families and communities in sensitive childhood care should form part of multisectoral programs involving education, health and wellbeing.
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- 2021
69. Validation of a Food Frequency Questionnaire for Retrospective Estimation of Diet During the First 2 Years of Life
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Mejía-Rodríguez, Fabiola, Neufeld, Lynnette M., García-Guerra, Armando, Quezada-Sanchez, Amado D., and Orjuela, Manuela A.
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Child nutrition -- Evaluation -- Research ,Questionnaires -- Usage -- Research ,Health care industry - Abstract
This study aims to validate a Food Frequency Questionnaire (FFQ), specifically designed to retrospectively estimate dietary intake and supplement consumption during the first 2 years of life in children from resource poor households in semi-rural Mexico. The FFQ querying about diet during the first 2 years of life was administered to mothers of children (N = 84), who participated in a prospective study 3-5 years earlier, in which complementary feeding practice questionnaires and 24-h recall (24hrR) were collected at several time points during the first 2 years of life to evaluate dietary and vitamin supplement intake. The resulting FFQ data were compared to intake data collected during the original study using Spearman correlations, deattenuated correlations and Wilcoxon signed-rank tests. Total energy intake, as estimated by the retrospective and original instruments, did not differ in the second year (Yr2); correlations between the measures were significant (r = 0.40, p < 0.001). The 24hrR and FFQ-Yr2 were significantly correlated for dietary intake of vitamins B6, B12 (p < 0.001) and folate (p < 0.01); however, after including vitamin supplement intake, the two dietary instruments were correlated only for vitamins A and B12 (p < 0.05). The FFQ provides a reasonable estimate of a child's dietary intake of energy and key micronutrients during the second year of life, and permits accurate ranking of intake 3-5 years after birth., Author(s): Fabiola Mejía-Rodríguez [sup.1] , Lynnette M. Neufeld [sup.3] , Armando García-Guerra [sup.1] , Amado D. Quezada-Sanchez [sup.1] , Manuela A. Orjuela [sup.2] Author Affiliations: (Aff1) 0000 0004 1773 4764, [...]
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- 2014
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70. Association between Predictors of Vitamin D Serum Levels and Risk of Retinoblastoma in Children: A Case-Control Study
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Amado D Quezada-Sánchez, Mario Flores-Aldana, Silvia Bhatt-Carreño, Teresa Shamah-Levy, Manuela Orjuela-Grimm, Alejandra Contreras-Manzano, Salvador Villalpando, and Fabiola Mejía-Rodríguez
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Adult ,medicine.medical_specialty ,Urban Population ,Protective factor ,ENSANUT ,vitamin D ,Overweight ,Logistic regression ,Article ,sporadic retinoblastoma ,03 medical and health sciences ,0302 clinical medicine ,children ,Pregnancy ,Risk Factors ,Epidemiology ,medicine ,Vitamin D and neurology ,Humans ,TX341-641 ,030212 general & internal medicine ,Obesity ,Mexico ,Nutrition and Dietetics ,rural dwelling ,Nutrition. Foods and food supply ,business.industry ,Altitude ,Case-control study ,Infant, Newborn ,Retinoblastoma ,Infant ,medicine.disease ,Vitamin D Deficiency ,Diet ,030220 oncology & carcinogenesis ,Case-Control Studies ,Sunlight ,Female ,Seasons ,women ,medicine.symptom ,business ,Food Science ,Demography - Abstract
Background: vitamin D (VD) may be a protective factor for retinoblastoma, though no temporal association has been reported during pregnancy or the child’s first year of life. Serum VD concentrations are determined by both distal (DF) and proximal factors (PF). Objective: To identify if DF and PF can predict VD insufficiency (VDI) and VD deficiency (VDD) in women of childbearing age, and to test whether maternal exposure to DF and PF during pregnancy and a child’s exposure during the first 11.9 months postpartum are associated with sporadic retinoblastoma (SRb) in children. Methods: This is a secondary analysis of data from the Epidemiology of SRb in Mexico (EpiRbMx) study and the National Health and Nutrition Survey 2018–2019 (ENSANUT 2018–2019, for its acronym in Spanish). The association of DF and PF with VDD or VDI was estimated using ENSANUT 2018–2019, and the association of DF and PF with SRb using EpiRbMx. All were estimated using logistic regression, with comparable samples selected from ENSANUT 2018–2019 and EpiRbMx. Results: Altitude, latitude and obesity predicted VDI and VDD in ENSANUT women. In EpiRbMx, residence in a rural location during pregnancy increased the risk of SRb. For children, rural residence and latitude increased the risk of SRb, while the number of days exposed to the spring–summer season during months 6 to 11.9 of life was protective. Conclusions: risk of VDI and VDD in women (ENSANUT 2018–2019) increased with altitude, urban dwelling, overweight and obesity. The child and mother’s place of residence, including altitude, latitude and rural classification were important predictors of SRb in EpiRbMx.
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- 2021
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71. Diet Modulates the Effects of Genetic Variants on the Vitamin D Metabolic Pathway and Bone Mineral Density in Mexican Postmenopausal Women
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Amado D Quezada-Sánchez, Jorge Salmerón, Yvonne N Flores, Berenice Rivera-Paredez, Edgar Denova-Gutiérrez, Rafael Velázquez-Cruz, and Leticia Torres-Ibarra
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Aging ,Osteoporosis ,Medicine (miscellaneous) ,Physiology ,vitamin D ,Calcitriol receptor ,Cohort Studies ,Bone Density ,Vitamin D ,Osteoporosis, Postmenopausal ,Bone mineral ,Nutrition and Dietetics ,Confounding ,Single Nucleotide ,Middle Aged ,Micronutrient ,Postmenopause ,medicine.anatomical_structure ,Postmenopausal ,Female ,Erratum ,Metabolic Networks and Pathways ,Cohort study ,musculoskeletal diseases ,macronutrients ,Polymorphism, Single Nucleotide ,AcademicSubjects/MED00060 ,Food Sciences ,Animal Production ,Clinical Research ,medicine ,Vitamin D and neurology ,gene-diet interaction ,Genetics ,Humans ,Polymorphism ,Mexico ,Femoral neck ,Nutrition ,Nutrition & Dietetics ,business.industry ,Prevention ,Biochemical, Molecular, and Genetic Mechanisms ,medicine.disease ,Diet ,micronutrients ,Musculoskeletal ,AcademicSubjects/SCI00960 ,business ,bone mineral density - Abstract
Background Macro- and micronutrients, such as proteins, vitamin D, and calcium (Ca), are important dietary factors that can modify bone mineral density (BMD). Genetic factors can interact with diet, affecting an individual's predisposition to osteoporosis. Objectives This study aimed to evaluate the associations between macro- and micronutrient intakes and BMD in Mexican postmenopausal women, and their interactions with genetic polymorphisms involved in the vitamin D metabolic pathway. Methods We analyzed data from 317 postmenopausal women from the Health Workers Cohort Study, a longitudinal cohort studied in Cuernavaca, Mexico. Postmenopausal women participated in 2 data collection waves (2004-2006 and 2010-2011), with a mean time of 6.4 years. Dietary intake was assessed with a semi-quantitative FFQ. BMD (femoral neck, hip, and lumbar spine) was measured by DXA. Hybrid mixed-effects regression models were used to assess the associations of dietary macro- and micronutrients on BMD, after adjusting for confounding factors and for diet and single nucleotide polymorphism interactions. Results At baseline, the median age was 57 years (IQR, 50-64). Mean femoral neck, hip, and lumbar spine BMDs decreased over time. We observed statistically significant longitudinal associations for diet (Ca, vitamin D, magnesium, phosphorus, and protein intake) and BMD. Increases of vitamin D, Ca, and protein intakes by 1 SD were associated with mean increases in the femoral neck BMD (0.083 SD, 0.064 SD, and 0.130 SD, respectively). Multiple significant interactions were identified between several loci (CYP2R1, CYP24A1, CYP27B1, VDR, and DHCR7/NADSYN1) and diet for BMDs (femoral neck, hip, and lumbar spine), mainly for protein intake. Conclusions Our data support associations of vitamin D, Ca, protein, phosphorous, and magnesium consumption with BMD in Mexican postmenopausal women and suggest possible gene-diet interactions. These results could facilitate future personalized nutrition recommendations to help prevent low BMD.
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- 2021
72. Trends in Mortality by HIV/AIDS in Children in Mexico: Towards the Elimination of Mother-To-Child Transmission
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Palacio-Mejía, Lina Sofía, primary, Hernández-Ávila, Juan Eugenio, additional, Molina-Vélez, Diana, additional, González-González, Leonel, additional, Quezada-Sánchez, Amado D., additional, Hernández-Ávila, Mauricio, additional, and Magis-Rodriguez, Carlos, additional
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- 2021
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73. Price elasticity and income elasticity of the demand for beer in Mexico
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Luis Alberto, Moreno-Aguilar, Carlos Manuel, Guerrero-López, M Arantxa, Colchero, Amado D, Quezada-Sánchez, and Sergio, Bautista-Arredondo
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Commerce ,Income ,Beer ,Humans ,Taxes ,Mexico ,Elasticity - Abstract
Estimate the price and income elasticities of the demand for beer in Mexico.Monthly series on beer sales and prices from 2007 to 2019 were used. Long-term elasticity was estimated using ordinary least squares (OLS). Short-term elasticity was estimated using a dynamic ordinary least squares (DOLS) model.The price elasticity was in the long term of -1.40 (95%CI: -2.53 to -0.27) and -1.31 (95%CI: -2.46 to -0.15) in the short term. The income elasticity of demand in the long and short term was estimated at 0.86 (95%CI: 0.44-1.29 and 0.93 (95%CI: 0.51-1.34), respectively.The findings of this study suggest that fiscal policies may have a positive impact on the health of the population by reducing beer consumption.
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- 2021
74. Association between Predictors of Vitamin D Serum Levels and Risk of Retinoblastoma in Children: A Case-Control Study
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Mejía-Rodríguez, Fabiola, primary, Flores-Aldana, Mario E., additional, Quezada-Sánchez, Amado D., additional, Shamah-Levy, Teresa, additional, Villalpando, Salvador, additional, Contreras-Manzano, Alejandra, additional, Bhatt-Carreño, Silvia, additional, and Orjuela-Grimm, Manuela, additional
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- 2021
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75. 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
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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.
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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.
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- 2015
76. Effect of hormonal replacement therapy in the hippocampus of ovariectomized epileptic female rats using the pilocarpine experimental model
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Valente, S.G., Marques, R.H., Baracat, E.C., Cavalheiro, E.A., Naffah-Mazzacoratti, M.G., and Amado, D.
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- 2008
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77. Elasticidad precio y elasticidad ingreso de la demanda de cerveza en México
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Moreno-Aguilar, Luis Alberto, primary, Guerrero-López, Carlos Manuel, additional, Colchero, M Arantxa, additional, Quezada-Sánchez, Amado D, additional, and Bautista-Arredondo, Sergio, additional
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- 2021
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- View/download PDF
78. Sugar-sweetened beverage consumption and risk of hyperuricemia: a longitudinal analysis of the Health Workers Cohort Study participants in Mexico
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Berenice Rivera-Paredez, Leith León-Maldonado, Yvonne N Flores, Leticia Torres-Ibarra, Rafael Velázquez-Cruz, Nayeli Macias, Tonatiuh Barrientos-Gutiérrez, Mario Flores, Jorge Salmerón, Rubí Hernández-López, Amado D Quezada-Sánchez, and Joacim Meneses-León
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,Health Personnel ,prospective cohort ,Medicine (miscellaneous) ,Hyperuricemia ,hyperuricemia ,Logistic regression ,Medical and Health Sciences ,Cohort Studies ,chemistry.chemical_compound ,Young Adult ,Engineering ,Clinical Research ,Environmental health ,medicine ,80 and over ,Humans ,Longitudinal Studies ,GEE ,Prospective cohort study ,Mexican adults ,Generalized estimating equation ,Mexico ,Aged ,Nutrition ,Aged, 80 and over ,Sugar-Sweetened Beverages ,Nutrition and Dietetics ,SSBs ,fixed effects ,Nutrition & Dietetics ,business.industry ,Public health ,Prevention ,Confounding ,Middle Aged ,medicine.disease ,Original Research Communications ,chemistry ,Uric acid ,Female ,business ,Cohort study - Abstract
BackgroundThe elevated consumption of sugar-sweetened beverages (SSBs) in Mexico is an important public health concern. However, the association between SSB consumption and hyperuricemia has been scarcely studied and not well documented.ObjectivesTo prospectively evaluate the association between SSB consumption and risk of hyperuricemia in Mexican adults.MethodsA longitudinal analysis was conducted using data from the Health Workers Cohort Study. Participants were followed from 2004 to 2018, with measurements every 6 y. The analysis sample consisted of 1300 adults, aged 18 to 85 y. SSB consumption during the previous year was evaluated through a semiquantitative FFQ. Hyperuricemia was defined as a concentration of uric acid ≥7.0 mg/dL in men and ≥5.7 mg/dL in women. We evaluated the association of interest using 2 methodologies: fixed-effects logistic regression and generalized estimating equations (GEEs). Potential confounders were included in both approaches.ResultsAt baseline, median intake of SSBs was 472.1 mL/wk (IQR: 198.8-1416.4 mL/wk), and 233 participants had hyperuricemia. Uric acid was higher in participants with an SSB intake ≥7 servings/wk, compared with those with an intake
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- 2020
79. Effect of Added Sugar on the Consumption of A Lipid-Based Nutrient Supplement Among 7-24-Month-Old Children
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Mónica Venosa López, Susan L. Johnson, Wendy Gonzalez Navarrete, Amado D Quezada-Sánchez, Anabelle Bonvecchio Arenas, Cloe Rawlinson, Harriet Okronipa, and Selene Pacheco-Miranda
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0301 basic medicine ,Male ,Dietary Sugars ,lcsh:TX341-641 ,malnutrition ,Added sugar ,small quantity lipid-based nutrient supplements ,Weight Gain ,Complementary food ,Article ,Toxicology ,03 medical and health sciences ,0302 clinical medicine ,Nutrient ,acceptability ,Medicine ,Humans ,030212 general & internal medicine ,Infant Nutritional Physiological Phenomena ,Mexico ,Consumption (economics) ,030109 nutrition & dietetics ,Nutrition and Dietetics ,integumentary system ,business.industry ,Infant ,hemic and immune systems ,respiratory system ,medicine.disease ,Dietary Fats ,Infant Nutrition Disorders ,Malnutrition ,Exposure period ,Child, Preschool ,Dietary Supplements ,Food, Fortified ,Population study ,Female ,medicine.symptom ,business ,lcsh:Nutrition. Foods and food supply ,human activities ,tissues ,Weight gain ,Food Science - Abstract
Small-quantity lipid-based nutrient supplements (SQ-LNS) could help prevent malnutrition. Our primary objective was to examine the acceptability and consumption of sweetened and unsweetened versions of SQ-LNS before and after 14-days of repeated exposure. A total of 78 mother-infant dyads recruited from health centers in Morelos, Mexico, were randomized to two groups of SQ-LNS (sweetened, LNS-S, unsweetened, LNS-U). During the study, infants were fed SQ-LNS (20 g) mixed with 30 g of complementary food of the caregiver&rsquo, s choice. The amount of supplement-food mixture consumed was measured before, during and after a 14-day home exposure period. We defined acceptability as consumption of at least 50% of the offered food mixture. At initial exposure, LNS-U consumption was on average 44.0% (95% CI: 31.4, 58.5) and LNS-S 34.8% (25.3, 44.0), at final exposure, LNS-U and LNS-S consumption were 38.5% (27.8, 54.0) and 31.5% (21.6, 43.0). The average change in consumption did not differ between the groups (2.2 p.p. (&minus, 17.2, 24.4)). We conclude that the acceptability of sweetened and unsweetened SQ-LNS was low in this study population. Since consumption did not differ between supplement versions, we encourage the use of the unsweetened version given the potential effects that added sugar may have on weight gain especially in regions facing the double burden of malnutrition.
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- 2020
80. Nutrient composition of mealtimes and its association with the energy intake of subsequent meals among Mexican adults
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Juan A Rivera, Teresa Shamah, Carolina Batis, Amado D. Quezada-Sánchez, and Tania G Sánchez-Pimienta
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0301 basic medicine ,Adult ,030209 endocrinology & metabolism ,03 medical and health sciences ,0302 clinical medicine ,Nutrient ,Animal science ,In real life ,Medicine ,Humans ,Meals ,General Psychology ,Obesity prevention ,030109 nutrition & dietetics ,Nutrition and Dietetics ,business.industry ,Diet composition ,Nutrients ,Mexican population ,Diet ,Cross-Sectional Studies ,Satiety Response ,Composition (visual arts) ,business ,Energy Intake ,Alcohol consumption - Abstract
The composition of the diet influences energy intake by affecting satiety. Macronutrients have a hierarchical effect on satiety, where proteins have the greatest influence, followed by carbohydrates and fats. Alcohol consumption has also shown an effect on increasing energy intake in subsequent meals. Most of this evidence comes from studies under controlled conditions but, it is not clear if effects of diet composition are maintained or counteracted by other determinants of EI in real life. In this paper, we described the diet composition by mealtime in a sample of free-living Mexican adults, as well as evaluated its association with the energy intake in subsequent meals between- and within-subjects. We used information from a national cross-sectional survey of the urban Mexican population. Dietary information was collected by an automated multiple-pass 24-h recall and all participants had information from three non-consecutive days (two weekdays and one weekend). We analyzed information from adults from 20 years and older and used mixed-effects hybrid models that isolate the intra-subject, from the between-subject associations using a substitution approach. We found that alcohol and added sugars were associated with an increased EI between- and within-subjects, while fiber was associated with a decreased EI in subsequent meals within-subjects. Between-subjects, the higher intake of proteins was associated with a decrease in EI, whereas carbohydrates were associated with an increased EI in subsequent meals. We concluded that the composition of the diet at one mealtime predicted EI in subsequent meals of free-living subjects. Understanding the effects of diet composition could guide strategies to reduce EI and obesity prevention.
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- 2020
81. [Breastfeeding and complementary feeding practices in Mexico: results from Ensanut 2018-19]
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Luz Dinorah, González-Castell, Mishel, Unar-Munguía, Amado D, Quezada-Sánchez, Anabelle, Bonvecchio-Arenas, and Juan, Rivera-Dommarco
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Breast Feeding ,Humans ,Infant ,Female ,Feeding Behavior ,Infant Nutritional Physiological Phenomena ,Mexico ,Infant Formula ,Bottle Feeding - Abstract
To update the prevalence of infant and young child feeding indicators (IYCFI) in children under 24 months in Mexico.Ensanut 2018-19 national representative survey with probabilistic design. Popu-lation: Women 12-59 years and their children24 months. The indicators proposed by the World Health Organization were assessed by sociodemographic variables of the mothers using the sample design. Wald's test was used to compare between categories.The prevalence of exclusive breastfeeding in children under six months was 28.3%, 42.9% of children under 12 months consumed infant formula and 29% continued breastfeeding at two years. Around 30% of children between 6 and 11 months did not meet the recom-mended minimum dietary diversity and only 49.4% consumed iron-rich foods.There are improvements in breastfeeding practices in Mexico, although the figures are low. The coordinated contribution from all sectors of society is required to improve infant feeding practices.Actualizar prevalencias de indicadores de prác-ticas de lactancia materna y alimentación complementaria (PLMAC) en menores de 24 meses en México.Análisis de la Encuesta Nacional de Salud y Nutrición (Ensanut 2018-19) con diseño probabilístico. Po-blación: Mujeres 12-59 años y sus hijos24 meses. Cálculo de indicadores propuestos por la Organización Mundial de la Salud (OMS) por variables sociodemográficas utilizando el diseño muestral. Se usó la prueba de Wald para comparar entre categorías.El 28.3% de los niños6 meses recibió lactancia materna exclusiva (LME), 42.9% de los niños12 meses consumió fórmula infantil y 29% continuó lactando a los dos años. Sólo 49.4% de los niños de 6-11 meses consumió alimentos ricos en hierro.Existen mejoras en las prácticas de lactancia materna, aunque las cifras siguen siendo bajas. Se requiere de la contribución de todos los sectores de la sociedad para mejorar las prácticas de alimentación infantil.
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- 2020
82. The CARMENES search for exoplanets around M dwarfs
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S. Stock, J. Kemmer, S. Reffert, T. Trifonov, A. Kaminski, S. Dreizler, A. Quirrenbach, J. A. Caballero, A. Reiners, S. V. Jeffers, G. Anglada-Escudé, I. Ribas, P. J. Amado, D. Barrado, J. R. Barnes, F. F. Bauer, Z. M. Berdiñas, V. J. S. Béjar, G. A. L. Coleman, M. Cortés-Contreras, E. Díez-Alonso, A. J. Domínguez-Fernández, N. Espinoza, C. A. Haswell, A. Hatzes, T. Henning, J. S. Jenkins
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- 2020
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83. Situación de las prácticas de lactancia materna y alimentación complementaria en México: resultados de la Ensanut 2018-19
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González-Castell, Luz Dinorah, primary, Unar-Munguía, Mishel, additional, Quezada-Sánchez, Amado D, additional, Bonvecchio-Arenas, Anabelle, additional, and Rivera-Dommarco, Juan, additional
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- 2020
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84. Effect of Added Sugar on the Consumption of A Lipid-Based Nutrient Supplement Among 7–24-Month-Old Children
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Okronipa, Harriet, primary, Quezada-Sánchez, Amado D., additional, Johnson, Susan L., additional, Rawlinson, Cloe, additional, Pacheco-Miranda, Selene, additional, Venosa López, Mónica, additional, Gonzalez Navarrete, Wendy, additional, and Arenas, Anabelle Bonvecchio, additional
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- 2020
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85. Prevalence of Depression and Generalized Anxiety Disorder Among Mexican Indigenous Adolescents and Young Adults: Challenges for Healthcare
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Serván-Mori, Edson, primary, Gonzalez-Robledo, Luz María, additional, Nigenda, Gustavo, additional, Quezada, Amado D., additional, González-Robledo, María Cecilia, additional, and Rodríguez-Cuevas, Fátima Gabriela, additional
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- 2020
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86. Mala nutrición a nivel municipal en población preescolar mexicana y cobertura del Programa Nacional México Sin Hambre
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Quezada-Sánchez, Amado D, primary, García-Guerra, Armando, additional, Galindo-Gómez, Carlos, additional, García-Morales, Concepción, additional, Molina-Vélez, Diana, additional, and Palacio-Mejía, Lina Sofia, additional
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- 2020
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87. Socioeconomic characteristics of mothers and their relationship with dietary diversity and food group consumption of their children
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Quezada‐Sánchez, Amado D., primary, Shamah‐Levy, Teresa, additional, and Mundo‐Rosas, Verónica, additional
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- 2020
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88. Use of natural antioxidants in sous vide tilapia fillet
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Alves, L. F. S., primary, Corrêa, S. S., additional, Rocha, J. D. M., additional, Amado, D. A. V., additional, Cottica, S. M., additional, and Souza, M. L. R., additional
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- 2020
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89. Fortification of bakery and corn masa–based foods in Mexico and dietary intake of folic acid and folate in Mexican national survey data
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Orjuela, Manuela A, primary, Mejia-Rodriguez, Fabiola, additional, Quezada, Amado D, additional, Sanchez-Pimienta, Tania G, additional, Shamah-Levy, Teresa, additional, Romero-Rendón, Josefina, additional, Bhatt-Carreño, Silvia, additional, Ponce-Castañeda, M Verónica, additional, Castro, Maria A, additional, Paul, Ligi, additional, and Villalpando, Salvador, additional
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- 2019
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90. Is there a link between availability of food and beverage establishments and BMI in Mexican adults?
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M. Arantxa Colchero, Mariana Molina, Amado D Quezada, and Edson Serván-Mori
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Adult ,Male ,Index (economics) ,Medicine (miscellaneous) ,Body Mass Index ,Food Supply ,Beverages ,Eating ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Environmental health ,Vegetables ,Individual data ,Humans ,Medicine ,Nutrition survey ,030212 general & internal medicine ,Mexico ,Aged ,National health ,Family Characteristics ,030505 public health ,Nutrition and Dietetics ,business.industry ,Public Health, Environmental and Occupational Health ,Middle Aged ,Nutrition Surveys ,Health Surveys ,Research Papers ,Diet ,Cross-Sectional Studies ,Socioeconomic Factors ,Fruit ,Fruits and vegetables ,Female ,0305 other medical science ,business - Abstract
ObjectiveTo study the association between density of stores (food and beverage stores, stores selling only fruits and vegetables, and supermarkets) and the BMI of adults aged ≥20 years in Mexico.DesignA cross-sectional study was performed. Individual data came from the 2012 National Health and Nutrition Survey, while information on stores was taken from the National Institute of Geography and Statistics’ National Statistics Directory of Economic Units. A weighted least-squares model was estimated to test the association between density of stores and BMI of adults adjusting for sex, age, education, presence of hypertension, diabetes or both, household assets index and marginality index at the municipality level.SettingMexico.ResultsAn additional 1 sd in the density of fruit and vegetable stores was associated with a reduction of 0·24 (95 % CI −0·37, −0·12) kg/m2 in BMI when the densities of the other stores were at their mean values. For food and beverage store density, a difference of 1 sd was associated with an increase of 0·50 (95 % CI 0·33, 0·67) kg/m2 in BMI, while for supermarkets the corresponding association was a reduction of 0·48 (95 % CI −1·52, 0·56) kg/m2 in BMI.ConclusionsIn places with a higher density of stores that offer unhealthy foods, the BMI of adults tends to be higher.
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- 2017
91. [Municipal malnutrition in Mexican preschool children population and coverage of the Programa Nacional México Sin Hambre.]
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Amado D, Quezada-Sánchez, Armando, García-Guerra, Carlos, Galindo-Gómez, Concepción, García-Morales, Diana, Molina-Vélez, and Lina Sofía, Palacio-Mejía
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Male ,Pediatric Obesity ,National Health Programs ,Malnutrition ,Infant, Newborn ,Infant ,Nutritional Status ,Nutrition Surveys ,Thinness ,Child, Preschool ,Income ,Prevalence ,Humans ,Female ,Cities ,Mexico ,Growth Disorders - Abstract
To estimate malnutrition prevalence of preschool children at the level of municipality in Mexico, describe prevalence heterogeneity and its relationship with the Programa Nacional México Sin Hambre´s coverage.Using the 2012 Mexican National Survey of Health and Nutrition, municipal income inequality and marginality, we applied a generalized normal model to obtain municipal distributions of nutrition status indicators from which we estimated malnutrition prevalence.Stunting prevalence ranged from 7.8% (95%CI: 5.9-8.9) to 64.2% (49.2-72.5), low weight prevalence ranged from 0.6% (0.005- 1.7) to 22.2% (13.5-34.9) and overweight-obesity prevalencem ranged from 2.6% (0.2-3.9) to 14.4% (11.9-27.7). A total of 275 out of 554 municipalities with stunting prevalence above 25% were covered by the Programa Nacional México Sin Hambre.Municipal malnutrition prevalence estimation showed wide differences within Mexico; this knowledge could assist public policy.Estimar las prevalencias municipales de mala nutrición en población preescolar en México, y describir su variabilidad y su relación con la cobertura del Programa Nacional México Sin Hambre.A partir de datos de la Encuesta Nacional de Salud y Nutrición de 2012, la desigualdad del ingreso y marginación municipal se aplicó un modelo normal generalizado para obtener las distribuciones municipales de los indicadores de nutrición y estimar las prevalencias de mala nutrición.Las prevalencias de talla baja variaron de 7.8% (IC95%: 5.9-8.9) a 64.2% (49.2-72.5), las de bajo peso de 0.6% (0.005-1.7) a 22.2% (13.5-34.9) y de sobrepeso u obesidad de 2.6% (0.2- 3.9) a 14.4% (11.9-27.7). De los 554 municipios con prevalencias de talla baja mayor que 25%, 275 fueron cubiertos por el programa México Sin Hambre.La estimación de prevalencias municipales de mala nutrición evidenció grandes diferencias al interior del país, mismas que podrían asistir la política pública.
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- 2019
92. Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes
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Triolo, T.M., Fouts, A., Pyle, L., Yu, L., Gottlieb, P.A., Steck, A.K., Greenbaum, C.J., Atkinson, M., Baidal, D., Battaglia, M., Becker, D., Bingley, P., Bosi, E., Buckner, J., Clements, M., Colman, P., DiMeglio, L., Gitelman, S., Goland, R., Gottlieb, P., Herold, K., Knip, M., Krischer, J., Lernmark, A., Moore, W., Moran, A., Muir, A., Palmer, J., Peakman, M., Philipson, L., Raskin, P., Redondo, M., Rodriguez, H., Russell, W., Spain, L., Schatz, D.A., Sosenko, J., Wentworth, J., Wherrett, D., Wilson, D., Winter, W., Ziegler, A., Anderson, M., Antinozzi, P., Benoist, C., Blum, J., Bourcier, K., Chase, P., Clare-Salzler, M., Clynes, R., Eisenbarth, G., Fathman, C.G., Grave, G., Hering, B., Insel, R., Kaufman, F., Kay, T., Leschek, E., Mahon, J., Marks, J.B., Nanto-Salonen, K., Nepom, G., Orban, T., Parkman, R., Pescovitz, M., Peyman, J., Pugliese, A., Roep, B., Roncarolo, M., Savage, P., Simell, O., Sherwin, R., Siegelman, M., Skyler, J.S., Steck, A., Thomas, J., Trucco, M., Wagner, J., Krischer, J.P., Rafkin, L., Cowie, C., Foulkes, M., Krause-Steinrauf, H., Lachin, J.M., Malozowski, S., Ridge, J., Zafonte, S.J., Sosenko, J.M., Kenyon, N.S., Santiago, I., Bundy, B., Abbondondolo, M., Adams, T., Amado, D., Asif, I., Boonstra, M., Burroughs, C., Cuthbertson, D., Deemer, M., Eberhard, C., Fiske, S., Ford, J., Garmeson, J., Guillette, H., Geyer, S., Hays, B., Henderson, C., Henry, M., Heyman, K., Hsiao, B., Karges, C., Keaton, N., Kinderman, A., Law, P., Leinbach, A., Liu, S., Lloyd, J., Malloy, J., Maddox, K., Martin, J., Miller, J., Milliot, E., Moore, M., Muller, S., Nguyen, T., O'Donnell, R., Roberts, A., Sadler, K., Stavros, T., Tamura, R., Wood, K., Xu, P., Young, K., Alies, P., Badias, F., Baker, A., Bassi, M., Beam, C., Boulware, D., Bounmananh, L., Bream, S., Freeman, D., Gough, J., Ginem, J., Granger, M., Kieffer, M.H.M., Lane, P., Linton, C., Nallamshetty, L., Oduah, V., Parrimon, Y., Paulus, K., Pilger, J., Ramiro, J., Ritzie, A.L., Sharma, A., Shor, A., Song, X., Terry, A., Weinberger, J., Wootten, M., Harding, P., McDonough, S., Mcgee, P.F., Hess, K.O., Phoebus, D., Quinlan, S., Raiden, E., Batts, E., Buddy, C., Kirpatrick, K., Ramey, M., Shultz, A., Webb, C., Romesco, M., Fradkin, J., Aas, S., Blumberg, E., Beck, G., Brillon, D., Gubitosi-Klug, R., Laffel, L., Vigersky, R., Wallace, D., Braun, J., B. lo, Mitchell, H., Naji, A., Nerup, J., Orchard, T., Steffes, M., Tsiatis, A., Veatch, R., Zinman, B., Loechelt, B., Baden, L., Green, M., Weinberg, A., Marcovina, S., Palmer, J.P., Babu, S., Eisenbarth, G.S., Marks, J., Matheson, D., Gomez, D., McDonald, A., Pena, S., Pietropaolo, M., Shippy, K., Brown, T., Dove, A., Hammond, M., Hefty, D., Klein, J., Kuhns, K., Letlau, M., Lord, S., McCulloch-Olson, M., Miller, L., Odegard, J., Sachter, E., St Marie, M., Stickney, K., VanBuecken, D., Vellek, B., Webber, C., Allen, L., Bollyk, J., Hilderman, N., Ismail, H., Lamola, S., Sanda, S., Vendettuoli, H., Tridgell, D., Monzavi, R., Bock, M., Fisher, L., Halvorson, M., Jeandron, D., Kim, M., Wood, J., Geffner, M., Salazar, C., Cook, S., Freeby, M., Gallagher, M.P., Gandica, R., Greenberg, E., Kurland, A., Pollak, S., Wolk, A., Chan, M., Koplimae, L., Levine, E., Smith, K., Trast, J., Evans-Molina, C., Hufferd, R., Jagielo, B., Kruse, C., Patrick, V., Rigby, M., Spall, M., Swinney, K., Terrell, J., Christner, L., Ford, L., Lynch, S., Menendez, M., Merrill, P., and Pesc
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,Endocrinology, Diabetes and Metabolism ,Concordance ,Twins ,Autoimmunity ,030209 endocrinology & metabolism ,Type 2 diabetes ,Environment ,medicine.disease_cause ,Islets of Langerhans ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Seroepidemiologic Studies ,Diabetes mellitus ,Internal medicine ,Diseases in Twins ,Twins, Dizygotic ,Internal Medicine ,medicine ,Genetic predisposition ,Humans ,Insulin ,Mass Screening ,Genetic Predisposition to Disease ,030212 general & internal medicine ,Child ,Mass screening ,Autoantibodies ,Advanced and Specialized Nursing ,Type 1 diabetes ,Glutamate Decarboxylase ,business.industry ,Siblings ,Autoantibody ,Twins, Monozygotic ,Predicting Diabetes Using Genetic Risk Scores ,medicine.disease ,Diabetes Mellitus, Type 1 ,Endocrinology ,Child, Preschool ,Disease Progression ,Female ,business - Abstract
OBJECTIVE There are variable reports of risk of concordance for progression to islet autoantibodies and type 1 diabetes in identical twins after one twin is diagnosed. We examined development of positive autoantibodies and type 1 diabetes and the effects of genetic factors and common environment on autoantibody positivity in identical twins, nonidentical twins, and full siblings. RESEARCH DESIGN AND METHODS Subjects from the TrialNet Pathway to Prevention Study (N = 48,026) were screened from 2004 to 2015 for islet autoantibodies (GAD antibody [GADA], insulinoma-associated antigen 2 [IA-2A], and autoantibodies against insulin [IAA]). Of these subjects, 17,226 (157 identical twins, 283 nonidentical twins, and 16,786 full siblings) were followed for autoantibody positivity or type 1 diabetes for a median of 2.1 years. RESULTS At screening, identical twins were more likely to have positive GADA, IA-2A, and IAA than nonidentical twins or full siblings (all P < 0.0001). Younger age, male sex, and genetic factors were significant factors for expression of IA-2A, IAA, one or more positive autoantibodies, and two or more positive autoantibodies (all P ≤ 0.03). Initially autoantibody-positive identical twins had a 69% risk of diabetes by 3 years compared with 1.5% for initially autoantibody-negative identical twins. In nonidentical twins, type 1 diabetes risk by 3 years was 72% for initially multiple autoantibody–positive, 13% for single autoantibody–positive, and 0% for initially autoantibody-negative nonidentical twins. Full siblings had a 3-year type 1 diabetes risk of 47% for multiple autoantibody–positive, 12% for single autoantibody–positive, and 0.5% for initially autoantibody-negative subjects. CONCLUSIONS Risk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody–positive identical twins and multiple autoantibody–positive nonidentical twins. Genetic predisposition, age, and male sex are significant risk factors for development of positive autoantibodies in twins.
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- 2019
93. Occupational health and safety: educational intervention for cleaning workers in research sectors.
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Universitat Rovira i Virgili, Parra-Tapia, Elena; Perales-Ortiz, Guillermo; Quezada, Amado D.; Torres-Pereda, Pilar, Universitat Rovira i Virgili, and Parra-Tapia, Elena; Perales-Ortiz, Guillermo; Quezada, Amado D.; Torres-Pereda, Pilar
- Abstract
Objective. To evaluate the results of educational intervention on health and safety regarding principles of biosafety in cleaning workers of a health institution. Materials and methods. Using concurrent mixed methods, we evaluated a total of 31 workers on their knowledge, attitudes, and practices of biosafety and risk perception. We conducted baseline measurements and two follow-ups. Fractional logistic regression models were fitted with study stage as covariate. Additional models included interactions of study stage with key workers characteristics.Thematic qualitative analysis and triangulation was developed. Results. The knowledge (+33.3 points, scale 0-100), attitudes (+10.6), and practices (+23.5) increased significantly in the first follow-up; knowledge decreased in the second follow-up (p<0.001). The qualitative findings revealed an improvement in risk prevention attitudes and practices, framed by experiences of vulnerability, stigma, and discrimination. Conclusions. The study provides key elements for biosafety research related to vulnerable groups and it is effective in promoting the health of a disadvantaged and invisible sector.
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- 2019
94. Effect of Milk-Based Infant Formula Fortified with PUFAs on Lipid Profile, Growth and Micronutrient Status of Young Children: A Randomized Double-Blind Clinical Trial
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Jorge Maldonado-Hernández, Mario Flores-Aldana, María-Socorro Parra-Cabrera, Marta Rivera-Pasquel, Amado D Quezada-Sánchez, and Armando García-Guerra
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0301 basic medicine ,medicine.medical_specialty ,Docosahexaenoic Acids ,lcsh:TX341-641 ,Gastroenterology ,Article ,Linoleic Acid ,lipids ,03 medical and health sciences ,Double-Blind Method ,Internal medicine ,Animals ,Humans ,Medicine ,chemistry.chemical_classification ,030505 public health ,030109 nutrition & dietetics ,Nutrition and Dietetics ,medicine.diagnostic_test ,business.industry ,Infant ,food and beverages ,infant formula ,Venous blood ,Anthropometry ,Micronutrient ,Trace Elements ,DHA ,Clinical trial ,Milk ,Infant formula ,chemistry ,Docosahexaenoic acid ,Child, Preschool ,micronutrients ,Dietary Supplements ,Food, Fortified ,Fatty Acids, Unsaturated ,PUFAs ,lipids (amino acids, peptides, and proteins) ,sense organs ,0305 other medical science ,business ,Lipid profile ,lcsh:Nutrition. Foods and food supply ,Food Science ,Polyunsaturated fatty acid - Abstract
Background: Polyunsaturated fatty acids (PUFAs) are essential to child growth and development. Objective: To assess the effect of PUFAs-fortified infant formula on lipid profile, growth and micronutrient status in children 12 to 30 months old. Methods: This study is a double-blind randomized controlled clinical trial. Two study groups were assessed: (a) milk-based infant formula with micronutrients and PUFAs (PUFAs) and (b) milk-based infant formula with micronutrients, no PUFAs added (Non-PUFAs). Children received prepared formula (240 mL) twice a day, according to the color-code assigned to each infant. Anthropometric measurements and venous blood samples were taken at each day-care center at baseline, and again after four months. Total serum lipid extraction was 0.5 mL. Samples were treated and modified by the Folch method and analyzed with gas chromatography. Results: Changes in serum lipid profile (expressed as % FA) between baseline and four months showed a statistically significant increase in docosahexaenoic acid (DHA) (0.22 vs. &minus, 0.07, p <, 0.05) and Alpha-Linoleic acid (0.08 vs. 0.02, p <, 0.05) in infants who consumed PUFAs-fortified formula compared to Non-PUFAs-fortified formula. Infants increased their length/height-for-age Z-score: median change for the PUFAs group was 0.16 (95% CI = 0.08, 0.28) and 0.23 (95% CI = 0.14, 0.33) for Non-PUFAs, with no differences between groups. Median folate level was significantly higher among the PUFAs group compared to Non-PUFAs: &minus, 0.87 (95% CI = &minus, 1.38, &minus, 0.44) and &minus, 3.83 (95% CI = &minus, 4.65, &minus, 3.03) respectively. Consumption of both supplements was adequate and stable during the intervention. Conclusion: A significant improvement was observed in the lipid profile of children who received the PUFAs-fortified milk-based formula.
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- 2020
95. Extracellular Matrix Components are Altered in the Hippocampus, Cortex, and Cerebrospinal Fluid of Patients with Mesial Temporal Lobe Epilepsy
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Perosa, S. R., Porcionatto, M. A., Cukiert, A., Martins, J. R. M., Amado, D., Nader, H. B., Cavalheiro, E. A., Leite, J. P., and Naffah-Mazzacoratti, M. G.
- Published
- 2002
96. Dissonant health transition in the states of Mexico, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013
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Marta C Hijar-Medina, Mohammad H. Forouzanfar, Eduardo González-Pier, Lucía Cuevas-Nasu, Astrid Schilmann, Ana Basto-Abreu, Carlos Magis-Rodriguez, Nancy Fullman, Leticia Avila-Burgos, Grea Litai Moreno-Banda, Theo Vos, Christopher J L Murray, Tonatiuh Barrientos-Gutiérrez, Catalina Medina-Garcia, Alejandra Montoya, Vanessa De la Cruz-Góngora, José Luis Texcalac-Sangrador, Alejandra Contreras-Manzano, Nancy López-Olmedo, Julio Cesar Montañez, Simón Barquera, Armando García-Guerra, Alejandra Jáuregui, Ricardo Correa-Rotter, Luz María Sánchez-Romero, Haidong Wang, Tania G Sánchez-Pimienta, Christian Razo-García, Luz D González-Castell, Carolina Batis, María Elena Medina-Mora, Héctor Gómez-Dantés, Lucero Cahuana-Hurtado, Horacio Riojas-Rodríguez, Martha María Téllez-Rojo, Andrea Pedroza-Tobías, Ileana Heredia-Pi, Alan D. Lopez, Ismael R. Campos-Nonato, Vesta L Richardson-López-Collada, Martha Romero Mendoza, Guilherme Borges, Fabiola Mejía-Rodríguez, Pablo Montero, Rogelio Pérez-Padilla, Rafael Lozano, Alejandra de Jesús Cantoral-Preciado, Maria Jesus Rios Blancas, Tania Aburto-Soto, Juan A Rivera, Aida Jimenez-Corona, María de Lourdes García-García, Julio César Campuzano-Rincón, Teresa Shamah-Levy, Teresita González de Cossío, Amado D Quezada, Blair G. Darney, Mohsen Naghavi, Edson Serván-Mori, José Luis Díaz-Ortega, Elga Filipa Amorin de Castro, and Héctor Lamadrid-Figueroa
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Male ,Gerontology ,Global Health ,Communicable Diseases ,Global Burden of Disease ,03 medical and health sciences ,Life Expectancy ,0302 clinical medicine ,Health Transition ,Risk Factors ,Environmental health ,Global health ,Humans ,Medicine ,Disabled Persons ,030212 general & internal medicine ,Mortality ,Risk factor ,Mexico ,Disease burden ,030505 public health ,business.industry ,Mortality rate ,General Medicine ,Quality-adjusted life year ,Epidemiological transition ,Years of potential life lost ,Socioeconomic Factors ,Chronic Disease ,Life expectancy ,Female ,Quality-Adjusted Life Years ,0305 other medical science ,business - Abstract
Summary Background Child and maternal health outcomes have notably improved in Mexico since 1990, whereas rising adult mortality rates defy traditional epidemiological transition models in which decreased death rates occur across all ages. These trends suggest Mexico is experiencing a more complex, dissonant health transition than historically observed. Enduring inequalities between states further emphasise the need for more detailed health assessments over time. The Global Burden of Diseases, Injuries, and Risk Factors Study 2013 (GBD 2013) provides the comprehensive, comparable framework through which such national and subnational analyses can occur. This study offers a state-level quantification of disease burden and risk factor attribution in Mexico for the first time. Methods We extracted data from GBD 2013 to assess mortality, causes of death, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) in Mexico and its 32 states, along with eight comparator countries in the Americas. States were grouped by Marginalisation Index scores to compare subnational burden along a socioeconomic dimension. We split extracted data by state and applied GBD methods to generate estimates of burden, and attributable burden due to behavioural, metabolic, and environmental or occupational risks. We present results for 306 causes, 2337 sequelae, and 79 risk factors. Findings From 1990 to 2013, life expectancy from birth in Mexico increased by 3·4 years (95% uncertainty interval 3·1–3·8), from 72·1 years (71·8–72·3) to 75·5 years (75·3–75·7), and these gains were more pronounced in states with high marginalisation. Nationally, age-standardised death rates fell 13·3% (11·9–14·6%) since 1990, but state-level reductions for all-cause mortality varied and gaps between life expectancy and years lived in full health, as measured by HALE, widened in several states. Progress in women's life expectancy exceeded that of men, in whom negligible improvements were observed since 2000. For many states, this trend corresponded with rising YLL rates from interpersonal violence and chronic kidney disease. Nationally, age-standardised YLL rates for diarrhoeal diseases and protein-energy malnutrition markedly decreased, ranking Mexico well above comparator countries. However, amid Mexico's progress against communicable diseases, chronic kidney disease burden rapidly climbed, with age-standardised YLL and DALY rates increasing more than 130% by 2013. For women, DALY rates from breast cancer also increased since 1990, rising 12·1% (4·6–23·1%). In 2013, the leading five causes of DALYs were diabetes, ischaemic heart disease, chronic kidney disease, low back and neck pain, and depressive disorders; the latter three were not among the leading five causes in 1990, further underscoring Mexico's rapid epidemiological transition. Leading risk factors for disease burden in 1990, such as undernutrition, were replaced by high fasting plasma glucose and high body-mass index by 2013. Attributable burden due to dietary risks also increased, accounting for more than 10% of DALYs in 2013. Interpretation Mexico achieved sizeable reductions in burden due to several causes, such as diarrhoeal diseases, and risks factors, such as undernutrition and poor sanitation, which were mainly associated with maternal and child health interventions. Yet rising adult mortality rates from chronic kidney disease, diabetes, cirrhosis, and, since 2000, interpersonal violence drove deteriorating health outcomes, particularly in men. Although state inequalities from communicable diseases narrowed over time, non-communicable diseases and injury burdens varied markedly at local levels. The dissonance with which Mexico and its 32 states are experiencing epidemiological transitions might strain health-system responsiveness and performance, which stresses the importance of timely, evidence-informed health policies and programmes linked to the health needs of each state. Funding Bill & Melinda Gates Foundation, Instituto Nacional de Salud Publica.
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- 2016
97. Prenatal supplementation with DHA improves attention at 5 y of age: a randomized controlled trial
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Lourdes Schnaas, Juan A Rivera, Lynnette M. Neufeld, Usha Ramakrishnan, Wei Hao, Amado D Quezada, Ines Gonzalez-Casanova, Beth C Pallo, Ann M. DiGirolamo, Aryeh D. Stein, and Reynaldo Martorell
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Adult ,Male ,0301 basic medicine ,Pediatrics ,medicine.medical_specialty ,genetic structures ,Docosahexaenoic Acids ,Offspring ,Intelligence ,Child Behavior ,Mothers ,Medicine (miscellaneous) ,Prenatal care ,Placebo ,law.invention ,Young Adult ,03 medical and health sciences ,Child Development ,Cognition ,Randomized controlled trial ,Pregnancy ,law ,medicine ,Humans ,Attention ,Mexico ,Prenatal Nutritional Physiological Phenomena ,Socioeconomic status ,Psychological Tests ,030109 nutrition & dietetics ,Nutrition and Dietetics ,business.industry ,food and beverages ,Prenatal Care ,medicine.disease ,Child development ,Growth, Development, and Pediatrics ,Social Class ,Attention Deficit Disorder with Hyperactivity ,Child, Preschool ,Dietary Supplements ,lipids (amino acids, peptides, and proteins) ,Female ,business - Abstract
Docosahexanoic acid (DHA) is an important constituent of the brain. Evidence from well-designed intervention trials of the long-term benefits of increasing DHA intake during pregnancy has been sparse.We evaluated global cognition, behavior, and attention at age 5 y in the offspring of Mexican women who participated in a randomized controlled trial of prenatal DHA supplementation.A total of 1094 women were randomly assigned to receive 400 mg of either DHA or placebo/d from 18 to 22 wk of pregnancy until delivery. We assessed cognitive development and behavioral and executive functioning, including attention, in 797 offspring at age 5 y (82% of 973 live births) with the use of the McCarthy Scales of Children's Abilities (MSCA), the parental scale of the Behavioral Assessment System for Children, Second Edition (BASC-2), and the Conners' Kiddie Continuous Performance Test (K-CPT). We compared the groups on raw scores, T-scores, and standardized scores, as appropriate. We examined heterogeneity by the quality of the home environment, maternal intelligence, and socioeconomic status.There were no group differences for MSCA scores (P0.05), but the positive effect of the home environment at 12 mo on general cognitive abilities was attenuated in the DHA group compared with in the placebo group (P-interaction0.05). There were no differences between groups on the BASC-2. On the K-CPT, offspring in the DHA group showed improved mean ± SD T-scores compared with those of the placebo group for omissions (DHA: 47.6 ± 10.3; placebo: 49.6 ± 11.2; P0.01) with no differences (P0.05) for the other K-CPT scores or of the proportion who were clinically at risk of attention deficit hyperactivity disorders after Bonferroni correction for multiple comparisons.Prenatal exposure to DHA may contribute to improved sustained attention in preschool children. This trial was registered at clinicaltrials.gov as NCT00646360.
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- 2016
98. Elasticidad precio y elasticidad ingreso de la demanda de cerveza en México.
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Alberto Moreno-Aguilar, Luis, Manuel Guerrero-López, Carlos, Colchero, Arantxa, Quezada-Sánchez, Amado D., Aplicada, Estad, and Bautista-Arredondo, Sergio
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ELASTICITY (Economics) ,LEAST squares ,FISCAL policy ,BEER ,ELASTICITY - Abstract
Copyright of Salud Pública de México is the property of Instituto Nacional de Salud Publica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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- 2021
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99. [Occupational health and safety: educational intervention for cleaning workers in research sectors]
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Elena Parra-Tapia, Guillermo Perales-Ortiz, Amado D Quezada, and Pilar Torres-Pereda
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Adult ,Male ,Health Knowledge, Attitudes, Practice ,promoción de la salud ,lcsh:Public aspects of medicine ,educación en salud ,Academies and Institutes ,salud laboral ,lcsh:RA1-1270 ,Containment of Biohazards ,Middle Aged ,evaluación ,Household Work ,Young Adult ,Occupational Exposure ,Educational Status ,Humans ,Female ,Health Education ,Mexico ,Occupational Health ,Qualitative Research ,bioseguridad ,Aged - Abstract
To evaluate the results of educational interven- tion on health and safety regarding principles of biosafety in cleaning workers of a health institution.Using concurrent mixed methods, we evaluated a total of 31 workers on their knowledge, attitudes, and practices of biosafety and risk perception. We conducted baseline measurements and two follow-ups. Fractional logistic regression models were fitted with study stage as covariate. Additional models included interactions of study stage with key workers characteristics. Thematic qualitative analysis and triangulation was developed.The knowledge (+33.3 points, scale 0-100), attitudes (+10.6), and practices (+23.5) increased significantly in the first follow-up; knowledge de- creased in the second follow-up (p0.001). The qualitative findings revealed an improvement in risk prevention attitudes and practices, framed by experiences of vulnerability, stigma, and discrimination.The study provides key elements for biosafety research related to vulnerable groups and it is effective in promoting the health of a disadvantaged and invisible sector.Evaluar los resultados de una intervención educativa sobre salud y seguridad laboral bajo principios de bioseguridad en trabajadores y trabajadoras de limpieza de una institución de salud.Evaluación con métodos mixtos concurrentes sobre conocimientos, actitudes y prácticas en bioseguridad y percepción de riesgos, con medición basal y dos seguimientos, en 31 trabajadores y trabajadoras. Se realizaron modelos fraccionales separados para estimar interacciones de las mediciones. Se hizo análisis cualitativo temático y triangulación metodológica.Los conocimientos (+33.3 puntos, escala 0 - 100), actitudes (+10.6) y prácticas (+23.5) incrementaron signifi- cativamente en el primer seguimiento; los conocimientos disminuyeron en el segundo seguimiento (p0.001). Los ha- llazgos cualitativos revelaron mejora en actitudes y prácticas de prevención frente al riesgo, enmarcados por experiencias de vulnerabilidad, estigma y discriminación.El estudio aporta elementos clave para la investigación en bioseguridad relacionada con grupos vulnerables y es efectivo para la promoción de la salud de un sector desfavorecido e invisibilizado.
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- 2018
100. Salud y seguridad laboral: intervención educativa en trabajadores de limpieza en áreas de investigación
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Parra-Tapia, Elena, primary, Perales-Ortiz, Guillermo, additional, Quezada, Amado D, additional, and Torres-Pereda, Pilar, additional
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- 2019
- Full Text
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