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746 results on '"VECCHIA, CARLO LA"'

3. WED-130 Prevalence and predictors of porto-sinusoidal vascular disorder in patients with persistent and unexplained gamma-glutamyl transferase elevation: a multicenter study

Author

Pugliese, Nicola, primary, Ponziani, Francesca Romana, additional, Cerini, Federica, additional, Di Tommaso, Luca, additional, Turati, Federica, additional, Maggioni, Marco, additional, Manini, Matteo Angelo, additional, Santopaolo, Francesco, additional, Bianco, Cristiana, additional, Masetti, Chiara, additional, Giustiniani, Maria Cristina, additional, Vecchia, Carlo La, additional, Valenti, Luca, additional, Terracciano, Luigi, additional, Viganò, Mauro, additional, and Aghemo, Alessio, additional

Published
2024
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5. Increased mortality in socioeconomic disadvantaged municipalities during the first phase of the COVID-19 pandemic in Lombardy region.

Author

Alicandro, Gianfranco, Gerli, Alberto, and Vecchia, Carlo La

Subjects
RESEARCH funding, SOCIOECONOMIC factors, REPORTING of diseases, DESCRIPTIVE statistics, METROPOLITAN areas, HEALTH equity, COMPARATIVE studies, CONFIDENCE intervals, COVID-19, COVID-19 pandemic
Abstract

Background Lombardy was the first European region most severely affected by the coronavirus disease 2019 pandemic in the spring of 2020. During that period, a substantial increase in socioeconomic inequality in total mortality was observed. This study aims to evaluate mortality data in the region up to September 2023 to verify whether the increased disparities between the poorest and the wealthiest municipalities persisted in the subsequent phases of the pandemic. Methods This study analyzed mortality data from January 2019 to September 2023 in Lombardy's municipalities by month and pandemic phases characterized by the predominance of the different severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. Municipalities were grouped according to the average income or pension of their residents. Age-standardized mortality rates (ASMRs) and the ASMR ratio between the poorest and the wealthiest municipalities were compared throughout the study period. Results In the pre-pandemic period (January 2019 - February 2020), the ASMR ratio at all ages between the poorest and the wealthiest municipalities fluctuated between 1.12 [95% confidence interval (CI): 1.07–1.16] and 1.29 (95% CI: 1.25–1.34). In March 2020, the ASMR ratio increased to 1.49 (95% CI: 1.45–1.52 95%) and returned to values registered before the pandemic thereafter. A similar pattern was observed in the analysis of mortality ≥ 65, using the average pension for group municipalities. Conclusions During the dramatic circumstances that the region faced in March 2020, pre-existing socioeconomic inequalities substantially widened. With the reorganization of the health system and the availability of vaccines, these disparities returned to the levels recorded before the pandemic. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Aspirin but not statins is inversely related to gastric cancer with a duration-risk effect: results from the Stomach Cancer Pooling (StoP) Project Consortium

Author

Pastorino, Roberta, primary, Marafon, Denise Pires, additional, Sassano, Michele, additional, Hoxhaj, Ilda, additional, Pelucchi, Claudio, additional, Liao, Linda M., additional, Rabkin, Charles S., additional, Sinha, Rashmi, additional, Lunet, Nuno, additional, Morais, Samantha, additional, Zaridze, David, additional, Maximovitch, Dmitry, additional, Aragonés, Nuria, additional, Castaño-Vinyals, Gemma, additional, Gómez-Acebo, Inés, additional, López-Carrillo, Lizbeth, additional, López-Cervantes, Malaquias, additional, Bonzi, Rossella, additional, Turati, Federica, additional, Boffetta, Paolo, additional, Camargo, Maria Constanza, additional, Curado, Maria Paula, additional, Vioque, Jesus, additional, Zhang, Zuo-Feng, additional, Negri, Eva, additional, Vecchia, Carlo La, additional, and Boccia, Stefania, additional

Published
2024
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7. Associations of occupational heat exposure and stomach cancer in a population-based case-control study

Author

Turner, Michelle C, primary, Hinchliffe, Alice, additional, Vistós, Miquel Vallbona, additional, Alguacil, Juan, additional, Uuksulainen, Sanni, additional, Aragonés, Nuria, additional, Tardón, Adonina, additional, Vioque, Jesus, additional, Hera, Manoli Garcia De La, additional, Ward, Mary H, additional, Rabkin, Charles S, additional, Camargo, M Constanza, additional, Pelucchi, Claudio, additional, Vecchia, Carlo La, additional, Boffetta, Paolo, additional, and Kogevinas, Manolis, additional

Published
2023
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8. Diet and the risk of head and neck cancer: a pooled analysis in the INHANCE consortium

Author

Chuang, Shu-Chun, Jenab, Mazda, Heck, Julia E, Bosetti, Cristina, Talamini, Renato, Matsuo, Keitaro, Castellsague, Xavier, Franceschi, Silvia, Herrero, Rolando, Winn, Deborah M, Vecchia, Carlo La, Morgenstern, Hal, Zhang, Zuo-Feng, Levi, Fabio, Maso, Luigino Dal, Kelsey, Karl, McClean, Michael D, Vaughan, Thomas, Lazarus, Philip, Muscat, Joshua, Ramroth, Heribert, Chen, Chu, Schwartz, Stephen M, Eluf-Neto, Jose, Hayes, Richard B, Purdue, Mark, Boccia, Stefania, Cadoni, Gabriella, Zaridze, David, Koifman, Sergio, Curado, Maria Paula, Ahrens, Wolfgang, Benhamou, Simone, Matos, Elena, Lagiou, Pagona, Szeszenia-Dabrowska, Neonilla, Olshan, Andrew F, Fernandez, Leticia, Menezes, Ana, Agudo, Antonio, Daudt, Alexander W, Merletti, Franco, Macfarlane, Gary J, Kjaerheim, Kristina, Mates, Dana, Holcatova, Ivana, Schantz, Stimson, Yu, Guo-Pei, Simonato, Lorenzo, Brenner, Hermann, Mueller, Heiko, Conway, David I, Thomson, Peter, Fabianova, Eleonora, Znaor, Ariana, Rudnai, Peter, Healy, Claire M, Ferro, Gilles, Brennan, Paul, Boffetta, Paolo, and Hashibe, Mia

Subjects
Nutrition, Cancer, Prevention, Clinical Research, Dental/Oral and Craniofacial Disease, Adult, Aged, Case-Control Studies, Diet, Female, Head and Neck Neoplasms, Humans, Male, Middle Aged, Risk Factors, Head and neck cancer, Fruit and vegetable, Red meat, Processed meat, Oncology and Carcinogenesis, Public Health and Health Services, Epidemiology
Abstract

We investigated the association between diet and head and neck cancer (HNC) risk using data from the International Head and Neck Cancer Epidemiology (INHANCE) consortium. The INHANCE pooled data included 22 case-control studies with 14,520 cases and 22,737 controls. Center-specific quartiles among the controls were used for food groups, and frequencies per week were used for single food items. A dietary pattern score combining high fruit and vegetable intake and low red meat intake was created. Odds ratios (OR) and 95% confidence intervals (CI) for the dietary items on the risk of HNC were estimated with a two-stage random-effects logistic regression model. An inverse association was observed for higher-frequency intake of fruit (4th vs. 1st quartile OR = 0.52, 95% CI = 0.43-0.62, p (trend) < 0.01) and vegetables (OR = 0.66, 95% CI = 0.49-0.90, p (trend) = 0.01). Intake of red meat (OR = 1.40, 95% CI = 1.13-1.74, p (trend) = 0.13) and processed meat (OR = 1.37, 95% CI = 1.14-1.65, p (trend) < 0.01) was positively associated with HNC risk. Higher dietary pattern scores, reflecting high fruit/vegetable and low red meat intake, were associated with reduced HNC risk (per score increment OR = 0.90, 95% CI = 0.84-0.97).

Published
2012

9. Central Obesity, Body Mass Index, Metabolic Syndrome and Mortality in Mediterranean Breast Cancer Patients

Author

Crispo, Anna, primary, Augustin, Livia Silvia, additional, Luongo, Assunta, additional, Calderaio, Claudia, additional, Breda, Joao, additional, Coluccia, Sergio, additional, Calabrese, Alessandra, additional, Marrazzo, Vittorio, additional, Giannatiempo, Rosa, additional, Trasacco, Paola, additional, Palumbo, Elvira, additional, Vitale, Sara, additional, Porciello, Giuseppe, additional, Gennaro, Piergiacomo Di, additional, Caputo, Roberta, additional, Buono, Giuseppe, additional, Vernieri, Claudio, additional, Schettini, Francesco, additional, Grimaldi, Maria, additional, Nocerino, Flavia, additional, Celentano, Egidio, additional, Amore, Alfonso, additional, Giuliano, Mario, additional, De Placido, Pietro, additional, De Angelis, Carmine, additional, Bianco, Roberto, additional, De Laurentiis, Michelino, additional, Vecchia, Carlo La, additional, and Arpino, Grazia, additional

Published
2023
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10. Cancer mortality associated with low education in Italy.

Author

Pizzato, Margherita, Maso, Matteo di, Collatuzzo, Giulia, Pelucchi, Claudio, Turati, Federica, Negri, Eva, Vecchia, Carlo La, Boffetta, Paolo, and Alicandro, Gianfranco

Subjects
TUMOR risk factors, STOMACH tumors, RELATIVE medical risk, CONFIDENCE intervals, SOCIOECONOMIC factors, SEX distribution, DIGESTIVE organs, RESEARCH funding, TUMORS, CERVIX uteri tumors, MARITAL status, EDUCATIONAL attainment, LONGITUDINAL method, PROSTATE tumors, DISEASE risk factors
Abstract

Background This study provides a nationwide representative quantification of the impact of educational inequalities on cancer mortality in Italy. Methods The study is based on prevalence data and mortality rate ratios according to levels of education obtained from the Italian 2011 census cohort, including >35 million individuals aged 30–74. We estimated the population attributable fraction (PAF) and the number of cancer deaths associated with low education (below university degree) in Italy by sex. Results PAFs for low levels of education were 29.1% among men and 13.3% among women, corresponding to 22,271 cancer deaths associated with low education in men and 7456 in women in 2019. PAFs by cancer site in men were: 53.0% for upper aerodigestive tract (UADT), 44.6% for liver, 41.3% for stomach, 41.3% for lung, 37.0% for bladder, 18.5% for colorectal, 9.8% for prostate and 9.1% for pancreatic cancers. PAFs in women were: 44.5% for cervical, 36.1% for UADT, 34.9% for stomach and 13.9% for colorectal cancers. The cancer sites with the highest number of deaths associated with low education were lung among men (7902/22,271, 35.5%) and colorectum among women (780/7456, 10.5%). Conclusions About a quarter of cancer deaths in 2019 in Italy may be prevented by reducing the socioeconomic determinants that contribute to educational disparities in cancer mortality. [ABSTRACT FROM AUTHOR]

Published
2023
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11. The effect of body mass index at cancer diagnosis on survival of patients with squamous cell head and neck carcinoma

Author

Pastorino, Roberta, primary, Marafon, Denise Pires, additional, Hoxhaj, Ilda, additional, Grossi, Adriano, additional, Giraldi, Luca, additional, Rondinò, Antonella, additional, Cadoni, Gabriella, additional, Polesel, Jerry, additional, Serraino, Diego, additional, Vecchia, Carlo La, additional, Garavello, Werner, additional, Canova, Cristina, additional, Richiardi, Lorenzo, additional, Lissowska, Jolanta, additional, Pandics, Tamas, additional, Dudding, Tom, additional, Ness, Andy, additional, Thomas, Steve, additional, Pring, Miranda, additional, Kelsey, Karl, additional, McClean, Michael, additional, Bradshaw, Patrick T., additional, Zhang, Zuo-Feng, additional, Morgenstern, Hal, additional, Rozek, Laura, additional, Wolf, Gregory T., additional, Olshan, Andrew F., additional, Liu, Geoffrey, additional, Hung, Rayjean J., additional, Vilensky, Marta, additional, de Carvalho, Marcos Brasilino, additional, Lopez, Rossana Veronica Mendonza, additional, Wunsch-Filho, Victor, additional, Boffetta, Paolo, additional, Hashibe, Mia, additional, Lee, Yuan-Chin Amy, additional, and Boccia, Stefania, additional

Published
2023
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18. Prevention and early detection of prostate cancer

Author

Cuzick, Jack, Thorat, Mangesh A, Andriole, Gerald, Brawley, Otis W, Brown, Powel H, Culig, Zoran, Eeles, Rosalind A, Ford, Leslie G, Hamdy, Freddie C, Holmberg, Lars, Ilic, Dragan, Key, Timothy J, Vecchia, Carlo La, Lilja, Hans, Marberger, Michael, Meyskens, Frank L, Minasian, Lori M, Parker, Chris, Parnes, Howard L, Perner, Sven, Rittenhouse, Harry, Schalken, Jack, Schmid, Hans-Peter, Schmitz-Dräger, Bernd J, Schröder, Fritz H, Stenzl, Arnulf, Tombal, Bertrand, Wilt, Timothy J, and Wolk, Alicja

Published
2014
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21. Serum vitamin D and cardiometabolic risk factors in the UK population.

Author

Patel, Linia, Vecchia, Carlo La, and Alicandro, Gianfranco

Subjects
*CARDIOVASCULAR diseases risk factors, *MULTIPLE regression analysis, *VITAMIN D, *RISK assessment, *SURVEYS, *VITAMIN D deficiency
Abstract

We analysed data on 2842 subjects aged ≥40 years enrolled in the National Diet and Nutrition Survey (NDNS 2008–2019). Based on serum 25(OH)D concentrations, study subjects were grouped in three categories: vitamin D deficiency (<25 nmol/L), vitamin D insufficiency (25–49 nmol/L) and vitamin D sufficiency status (≥50 nmol/L). Differences in CVD risk factors between vitamin D deficiency or insufficiency and vitamin D sufficiency status were expressed in standard deviation scores (SDS) and estimated through weighted multiple linear regression models. Key points: Nationally representative data source UK National Diet and Nutrition Survey (2008–2019) is analysed.Vitamin D status is determined according to serum concentration of 25(OH)D deficiency: <25 nmol/L; insufficiency: 25–49 nmol/L; sufficiency: ≥50 nmol/L.Cardiovascular risk factors are compared between individuals with vitamin D deficiency and those with vitamin D sufficiency.Differences are expressed in standard deviation scores.Vitamin D deficiency is associated with a higher cardiovascular risk profile. [ABSTRACT FROM AUTHOR]

Published
2023
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22. Dietary Choline and Sphingomyelin Choline moiety Intake and Risk of Colorectal Cancer: A Case Control Study

Author

Rossi, Marta, primary, Khalifeh, Malak, additional, Fiori, Federica, additional, Parpinel, Maria, additional, Serraino, Diego, additional, Pelucchi, Claudio, additional, Negri, Eva, additional, Giacosa, Attilio, additional, Crispo, Anna, additional, Collatuzzo, Giulia, additional, Hannun, Yusuf, additional, Luberto, Chiara, additional, Vecchia, Carlo La, additional, and Boffetta, Paolo, additional

Published
2022
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24. Risk prediction models for endometrial cancer: development and validation in an international consortium.

Author

Shi, Joy, Kraft, Peter, Rosner, Bernard A, Benavente, Yolanda, Black, Amanda, Brinton, Louise A, Chen, Chu, Clarke, Megan A, Cook, Linda S, Costas, Laura, Maso, Luigino Dal, Freudenheim, Jo L, Frias-Gomez, Jon, Friedenreich, Christine M, Garcia-Closas, Montserrat, Goodman, Marc T, Johnson, Lisa, Vecchia, Carlo La, Levi, Fabio, and Lissowska, Jolanta

Subjects
ENDOMETRIAL cancer, RECEIVER operating characteristic curves, CONSORTIA, PREDICTION models, CARCINOGENESIS, ENDOMETRIAL hyperplasia
Abstract

Background Endometrial cancer risk stratification may help target interventions, screening, or prophylactic hysterectomy to mitigate the rising burden of this cancer. However, existing prediction models have been developed in select cohorts and have not considered genetic factors. Methods We developed endometrial cancer risk prediction models using data on postmenopausal White women aged 45-85 years from 19 case-control studies in the Epidemiology of Endometrial Cancer Consortium (E2C2). Relative risk estimates for predictors were combined with age-specific endometrial cancer incidence rates and estimates for the underlying risk factor distribution. We externally validated the models in 3 cohorts: Nurses' Health Study (NHS), NHS II, and the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. Results Area under the receiver operating characteristic curves for the epidemiologic model ranged from 0.64 (95% confidence interval [CI] = 0.62 to 0.67) to 0.69 (95% CI = 0.66 to 0.72). Improvements in discrimination from the addition of genetic factors were modest (no change in area under the receiver operating characteristic curves in NHS; PLCO = 0.64 to 0.66). The epidemiologic model was well calibrated in NHS II (overall expected-to-observed ratio [E/O]   =   1.09, 95% CI = 0.98 to 1.22) and PLCO (overall E/O   =   1.04, 95% CI = 0.95 to 1.13) but poorly calibrated in NHS (overall E/O   =   0.55, 95% CI = 0.51 to 0.59). Conclusions Using data from the largest, most heterogeneous study population to date (to our knowledge), prediction models based on epidemiologic factors alone successfully identified women at high risk of endometrial cancer. Genetic factors offered limited improvements in discrimination. Further work is needed to refine this tool for clinical or public health practice and expand these models to multiethnic populations. [ABSTRACT FROM AUTHOR]

Published
2023
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29. Intrauterine devices and endometrial cancer risk: A pooled analysis of the Epidemiology of Endometrial Cancer Consortium

Author

Felix, Ashley S., Gaudet, Mia M., Vecchia, Carlo La, Nagle, Christina M., Shu, Xiao Ou, Weiderpass, Elisabete, Adami, Hans Olov, Beresford, Shirley, Bernstein, Leslie, Chen, Chu, Cook, Linda S., Vivo, Immaculata De, Doherty, Jennifer A., Friedenreich, Christine M., Gapstur, Susan M., Hill, Dierdre, Horn-Ross, Pamela L., Lacey, James V., Levi, Fabio, Liang, Xiaolin, Lu, Lingeng, Magliocco, Anthony, McCann, Susan E., Negri, Eva, Olson, Sara H., Palmer, Julie R., Patel, Alpa V., Petruzella, Stacey, Prescott, Jennifer, Risch, Harvey A., Rosenberg, Lynn, Sherman, Mark E., Spurdle, Amanda B., Webb, Penelope M., Wise, Lauren A., Xiang, Yong-Bing, Xu, Wanghong, Yang, Hannah P., Yu, Herbert, Zeleniuch-Jacquotte, Anne, and Brinton, Louise A.

Published
2015
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30. Risk factors for head and neck cancer in young adults: a pooled analysis in the INHANCE consortium

Author

Toporcov, Tatiana Natasha, Znaor, Ariana, Zhang, Zuo-Feng, Yu, Guo-Pei, Winn, Deborah M, Wei, Qingyi, Vilensky, Marta, Vaughan, Thomas, Thomson, Peter, Talamini, Renato, Szeszenia-Dabrowska, Neonila, Sturgis, Erich M, Smith, Elaine, Shangina, Oxana, Schwartz, Stephen M, Schantz, Stimson, Rudnai, Peter, Richiardi, Lorenzo, Ramroth, Heribert, Purdue, Mark P, Olshan, Andrew F, Eluf-Neto, José, Muscat, Joshua, Moyses, Raquel Ajub, Morgenstern, Hal, Menezes, Ana, McClean, Michael, Matsuo, Keitaro, Mates, Dana, Macfarlane, Tatiana V, Lissowska, Jolanta, Levi, Fabio, Lazarus, Philip, Vecchia, Carlo La, Lagiou, Pagona, Koifman, Sergio, Kjaerheim, Kristina, Kelsey, Karl, Holcatova, Ivana, Herrero, Rolando, Healy, Claire, Hayes, Richard B, Franceschi, Silvia, Fernandez, Leticia, Fabianova, Eleonora, Daudt, Alexander W, Curioni, Otávio Alberto, Maso, Luigino Dal, Curado, Maria Paula, Conway, David I, Chen, Chu, Castellsague, Xavier, Canova, Cristina, Cadoni, Gabriella, Brennan, Paul, Boccia, Stefania, Antunes, José Leopoldo Ferreira, Ahrens, Wolfgang, Agudo, Antonio, Boffetta, Paolo, Hashibe, Mia, Lee, Yuan-Chin Amy, and Filho, Victor Wünsch

Published
2015
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34. Comorbidity patterns, family history and breast cancer risk: a latent class analysis.

Author

Dalmartello, Michela, Vermunt, Jeroen, Parazzini, Fabio, Serraino, Diego, Giacosa, Attilio, Crispo, Anna, Negri, Eva, Levi, Fabio, Pelucchi, Claudio, and Vecchia, Carlo La

Subjects
BREAST tumor risk factors, STRUCTURAL equation modeling, CONFIDENCE intervals, MULTIPLE regression analysis, CASE-control method, RISK assessment, ODDS ratio, COMORBIDITY, FAMILY history (Medicine)
Published
2022
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35. Updated estimates of excess total mortality in Italy during the circulation of the BA.2 and BA.4-5 Omicron variants: April-July 2022.

Author

ALICANDRO, GIANFRANCO, GERLI, ALBERTO GIOVANNI, REMUZZI, GIUSEPPE, CENTANNI, STEFANO, and VECCHIA, CARLO LA

Abstract

Background: The impact of new lineages and sub-lineages of Omicron on total and excess mortality is largely unknown. This study aims to provide estimates of excess mortality during the circulation of the Omicron variant in Italy updated to July 2022. Methods: Over-dispersed Poisson regression models, fitted separately for men and women, on 2011-2019 mortality data were used to estimate the expected number of deaths during the COVID-19 pandemic. The excess deaths were then obtained by the difference between observed and expected deaths and computed at all ages and at working ages (25-64 years). Results: Between April and June 2022, we estimated 9,631 excess deaths (+6.3%) at all ages (4,400 in April, 3,369 in May, 1,862 in June) and 12,090 in July 2022 (+23.4%). At working ages, the excess was 763 (+4.9%) in April-June 2022 and 679 (+13.0%) in July 2022. Conclusions: Excess total mortality persisted during the circulation of different lineages and sub-lineages of the Omicron variant in Italy. This excess was not limited to the elderly population but involved also working age individuals, though the absolute number of deaths was small. The substantial excess found in July 2022 is, however, largely attributable to high temperatures. At the end of the year, this may translate into 30 to 35,000 excess deaths, i.e. over 5% excess mortality. COVID-19 related deaths reversed the long-term trend toward increasing life expectancy, with the relative implications in social security and retirement schemes. [ABSTRACT FROM AUTHOR]

Published
2022
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36. Blood bacterial DNA, intestinal adenoma and colorectal cancer

Author

Mutignani, Massimiliano, primary, Penagini, Roberto, additional, Gargari, Giorgio, additional, Guglielmetti, Simone, additional, Cintolo, Marcello, additional, Airoldi, Aldo, additional, Leone, Pierfrancesco, additional, Carnevali, Pietro, additional, Ciafardini, Clorinda, additional, Petrocelli, Giulio, additional, Mascaretti, Federica, additional, Oreggia, Barbara, additional, Dioscoridi, Lorenzo, additional, Cavalcoli, Federica, additional, Primignani, Massimo, additional, Pugliese, Francesco, additional, Bertuccio, Paola, additional, Soru, Pietro, additional, Magistro, Carmelo, additional, Ferrari, Giovanni, additional, Speciani, Michela, additional, Bonato, Giulia, additional, Bini, Marta, additional, Cantù, Paolo, additional, Caprioli, Flavio, additional, Vangeli, Marcello, additional, Forti, Edoardo, additional, Mazza, Stefano, additional, Tosetti, Giulia, additional, Bonzi, Rossella, additional, Vecchi, Maurizio, additional, Vecchia, Carlo La, additional, and Rossi, Marta, additional

Published
2021
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44. Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning

Author

Cromwell, Elizabeth A., Osborne, Joshua C.P., Unnasch, Thomas R., Basáñez, Mariagloria, Gass, Katherine M., Barbre, Kira A., Hill, Elex, Johnson, Kimberly B., Donkers, Katie M., Shirude, Shreya, Schmidt, Chris A., Adekanmbi, Victor, Adetokunboh, Olatunji O., Afarideh, Mohsen, Ahmadpour, Ehsan, Beshir Ahmed, Muktar, Yihunie Akalu, Temesgen, Al-Aly, Ziyad, Alanezi, Fahad Mashhour, Alanzi, Turki M., Alipour, Vahid, Andrei, Catalina Liliana, Ansari, Fereshteh, Ansha, Mustafa Geleto, Anvari, Davood, Yaw Appiah, Seth Christopher, Arabloo, Jalal, Arnold, Benjamin F., Ausloos, Marcel, Ayanore, Martin Amogre, Amin Baig, Atif, Banach, Maciej, Barac, Aleksandra, Barnighausen, Till Winfried, Bayati, Mohsen, Bhattacharyya, Krittika, Bhutta, Zulfiqar A., Bibi, Sadia, Bijani, Ali, Bohlouli, Somayeh, Bohluli, Mahdi, Brady, Oliver J., Bragazzi, Nicola Luigi, Butt, Zahid A., Carvalho, Felix, Chatterjee, Souranshu, Chattu, Vijay Kumar, Chattu, Soosanna Kumary, Cormier, Natalie Maria, Dahlawi, Saad M.A., Damiani, Giovanni, Daoud, Farah, Darwesh, Aso Mohammad, Daryani, Ahmad, Deribe, Kebede, Dharmaratne, Samath Dhamminda, Diaz, Daniel, Do, Hoa Thi, El Sayed Zak, Maysaa, El Tantawi, Maha, Elemineh, Demelash Abewa, Faraj, Anwar, Harandi, Majid Fasihi, Fatahi, Yousef, Feigin, Valery L., Fernandes, Eduarda, Foigt, Nataliya A., Foroutan, Masoud, Franklin, Richard Charles, Mohialdeen Gubari, Mohammed Ibrahim, Guido, Davide, Guo, Yuming, Haj-Mirzaian, Arvin, Abdullah, Kanaan Hamagharib, Hamidi, Samer, Herteliu, Claudiu, De Hidru, Hagos Degefa, Higazi, Tarig B., Hossain, Naznin, Hosseinzadeh, Mehdi, Househ, Mowafa, Ilesanmi, Olayinka Stephen, Ilic, Milena D., Ilic, Irena M., Iqbal, Usman, Naghibi Irvani, Seyed Sina, Jha, Ravi Prakash, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kabir, Zubair, Kalankesh, Leila R., Kalhor, Rohollah, Matin, Behzad Karami, Karimi, Salah Eddin, Kasaeian, Amir, Kavetskyy, Taras, Kayode, Gbenga A., Karyani, Ali Kazemi, Kelbore, Abraham Getachew, Keramati, Maryam, Khalilov, Rovshan, Khan, Ejaz Ahmad, Nuruzzaman Khan, Md Nuruzzaman, Khatab, Khaled, Khater, Mona M., Kianipour, Neda, Kibret, Kelemu Tilahun, Kim, Yun Jin, Kosen, Soewarta, Krohn, Kris J., Kusuma, Dian, Vecchia, Carlo La, Lansingh Van, Charles, Lee, Paul H., Legrand, Kate E., Li, Shanshan, Longbottom, Joshua, Abd El Razek, Hassan Magdy, Abd El Razek, Muhammed Magdy, Maleki, Afshin, Mamun, Abdullah A., Manafi, Ali, Manafi, Navid, Mansournia, Mohammad Ali, Martins-Melo, Francisco Rogerlândio, Mazidi, Mohsen, McAlinden, Colm, Meharie, Birhanu Geta, Mendoza, Walter, Mengesha, Endalkachew Worku, Mengistu, Desalegn Tadese, Mereta, Seid Tiku, Mestrovic, Tomislav, Miller, Ted R., Miri, Mohammad, Moghadaszadeh, Masoud, Hafshejani, Abdollah Mohammadian, Mohammadpourhodki, Reza, Mohammed, Shafiu, Mohammed, Salahuddin, Moradi, Masoud, Moradzadeh, Rahmatollah, Moraga, Paula, Mosser, Jonathan F., Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naik, Gurudatta, Negoi, Ionut, Nguyen, Cuong Tat, Nguyen, Huong Lan Thi, Nguyen, Trang Huyen, Nikbakhsh, Rajan, Oancea, Bogdan, Olagunju, Tinuke O., Olagunju, Andrew T., Bali, Ahmed Omar, Onwujekwe, Obinna E., Pana, Adrian, Pourjafar, Hadi, Rahim, Fakher, Ur Rahman, Mohammad Hifz, Rathi, Priya, Rawaf, Salman, Rawaf, David Laith, Rawassizadeh, Reza, Resnikoff, Serge, Reta, Melese Abate, Rezapour, Aziz, Rubagotti, Enrico, Rubino, Salvatore, Sadeghi, Ehsan, Saghafipour, Abedin, Sajadi, S. Mohammad, Samy, Abdallah M., Sarmiento-Suárez, Rodrigo, Sawhney, Monika, Schipp, Megan F., Shaheen, Amira A., Shaikh, Masood Ali, Shamsizadeh, Morteza, Sharafi, Kiomars, Sheikh, Aziz, Kumar Shetty, B. Suresh, Shin, Jae Il, Shivakumar, K. M., Simonetti, Biagio, Singh, Jasvinder A., Skiadaresi, Eirini, Soheili, Amin, Soltani, Shahin, Spurlock, Emma Elizabeth, Sufiyan, Mu’Awiyyah Babale, Tabuchi, Takahiro, Tapak, Leili, Thompson, Robert L., Thomson, Alan J., Traini, Eugenio, Tran, Bach Xuan, Ullah, Irfan, Ullah, Saif, Uneke, Chigozie Jesse, Unnikrishnan, Bhaskaran, Uthman, Olalekan A., Melchers, Natalie V.S.Vinkeles, Violante, Francesco S., Wolde, Haileab Fekadu, Wonde, Tewodros Eshete, Yamada, Tomohide, Yaya, Sanni, Yazdi Feyzabadi, Vahid, Yip, Paul, Yonemoto, Naohiro, Yousof, Hebat Allah Salah A., Yu, Chuanhua, Yu, Yong, Yusefzadeh, Hasan, Zaki, Leila, Zaman, Sojib Bin, Zamanian, Maryam, Zhang, Zhi Jiang, Zhang, Yunquan, Ziapour, Arash, Hay, Simon I., Pigott, David M., Cromwell, Elizabeth A., Osborne, Joshua C.P., Unnasch, Thomas R., Basáñez, Mariagloria, Gass, Katherine M., Barbre, Kira A., Hill, Elex, Johnson, Kimberly B., Donkers, Katie M., Shirude, Shreya, Schmidt, Chris A., Adekanmbi, Victor, Adetokunboh, Olatunji O., Afarideh, Mohsen, Ahmadpour, Ehsan, Beshir Ahmed, Muktar, Yihunie Akalu, Temesgen, Al-Aly, Ziyad, Alanezi, Fahad Mashhour, Alanzi, Turki M., Alipour, Vahid, Andrei, Catalina Liliana, Ansari, Fereshteh, Ansha, Mustafa Geleto, Anvari, Davood, Yaw Appiah, Seth Christopher, Arabloo, Jalal, Arnold, Benjamin F., Ausloos, Marcel, Ayanore, Martin Amogre, Amin Baig, Atif, Banach, Maciej, Barac, Aleksandra, Barnighausen, Till Winfried, Bayati, Mohsen, Bhattacharyya, Krittika, Bhutta, Zulfiqar A., Bibi, Sadia, Bijani, Ali, Bohlouli, Somayeh, Bohluli, Mahdi, Brady, Oliver J., Bragazzi, Nicola Luigi, Butt, Zahid A., Carvalho, Felix, Chatterjee, Souranshu, Chattu, Vijay Kumar, Chattu, Soosanna Kumary, Cormier, Natalie Maria, Dahlawi, Saad M.A., Damiani, Giovanni, Daoud, Farah, Darwesh, Aso Mohammad, Daryani, Ahmad, Deribe, Kebede, Dharmaratne, Samath Dhamminda, Diaz, Daniel, Do, Hoa Thi, El Sayed Zak, Maysaa, El Tantawi, Maha, Elemineh, Demelash Abewa, Faraj, Anwar, Harandi, Majid Fasihi, Fatahi, Yousef, Feigin, Valery L., Fernandes, Eduarda, Foigt, Nataliya A., Foroutan, Masoud, Franklin, Richard Charles, Mohialdeen Gubari, Mohammed Ibrahim, Guido, Davide, Guo, Yuming, Haj-Mirzaian, Arvin, Abdullah, Kanaan Hamagharib, Hamidi, Samer, Herteliu, Claudiu, De Hidru, Hagos Degefa, Higazi, Tarig B., Hossain, Naznin, Hosseinzadeh, Mehdi, Househ, Mowafa, Ilesanmi, Olayinka Stephen, Ilic, Milena D., Ilic, Irena M., Iqbal, Usman, Naghibi Irvani, Seyed Sina, Jha, Ravi Prakash, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kabir, Zubair, Kalankesh, Leila R., Kalhor, Rohollah, Matin, Behzad Karami, Karimi, Salah Eddin, Kasaeian, Amir, Kavetskyy, Taras, Kayode, Gbenga A., Karyani, Ali Kazemi, Kelbore, Abraham Getachew, Keramati, Maryam, Khalilov, Rovshan, Khan, Ejaz Ahmad, Nuruzzaman Khan, Md Nuruzzaman, Khatab, Khaled, Khater, Mona M., Kianipour, Neda, Kibret, Kelemu Tilahun, Kim, Yun Jin, Kosen, Soewarta, Krohn, Kris J., Kusuma, Dian, Vecchia, Carlo La, Lansingh Van, Charles, Lee, Paul H., Legrand, Kate E., Li, Shanshan, Longbottom, Joshua, Abd El Razek, Hassan Magdy, Abd El Razek, Muhammed Magdy, Maleki, Afshin, Mamun, Abdullah A., Manafi, Ali, Manafi, Navid, Mansournia, Mohammad Ali, Martins-Melo, Francisco Rogerlândio, Mazidi, Mohsen, McAlinden, Colm, Meharie, Birhanu Geta, Mendoza, Walter, Mengesha, Endalkachew Worku, Mengistu, Desalegn Tadese, Mereta, Seid Tiku, Mestrovic, Tomislav, Miller, Ted R., Miri, Mohammad, Moghadaszadeh, Masoud, Hafshejani, Abdollah Mohammadian, Mohammadpourhodki, Reza, Mohammed, Shafiu, Mohammed, Salahuddin, Moradi, Masoud, Moradzadeh, Rahmatollah, Moraga, Paula, Mosser, Jonathan F., Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naik, Gurudatta, Negoi, Ionut, Nguyen, Cuong Tat, Nguyen, Huong Lan Thi, Nguyen, Trang Huyen, Nikbakhsh, Rajan, Oancea, Bogdan, Olagunju, Tinuke O., Olagunju, Andrew T., Bali, Ahmed Omar, Onwujekwe, Obinna E., Pana, Adrian, Pourjafar, Hadi, Rahim, Fakher, Ur Rahman, Mohammad Hifz, Rathi, Priya, Rawaf, Salman, Rawaf, David Laith, Rawassizadeh, Reza, Resnikoff, Serge, Reta, Melese Abate, Rezapour, Aziz, Rubagotti, Enrico, Rubino, Salvatore, Sadeghi, Ehsan, Saghafipour, Abedin, Sajadi, S. Mohammad, Samy, Abdallah M., Sarmiento-Suárez, Rodrigo, Sawhney, Monika, Schipp, Megan F., Shaheen, Amira A., Shaikh, Masood Ali, Shamsizadeh, Morteza, Sharafi, Kiomars, Sheikh, Aziz, Kumar Shetty, B. Suresh, Shin, Jae Il, Shivakumar, K. M., Simonetti, Biagio, Singh, Jasvinder A., Skiadaresi, Eirini, Soheili, Amin, Soltani, Shahin, Spurlock, Emma Elizabeth, Sufiyan, Mu’Awiyyah Babale, Tabuchi, Takahiro, Tapak, Leili, Thompson, Robert L., Thomson, Alan J., Traini, Eugenio, Tran, Bach Xuan, Ullah, Irfan, Ullah, Saif, Uneke, Chigozie Jesse, Unnikrishnan, Bhaskaran, Uthman, Olalekan A., Melchers, Natalie V.S.Vinkeles, Violante, Francesco S., Wolde, Haileab Fekadu, Wonde, Tewodros Eshete, Yamada, Tomohide, Yaya, Sanni, Yazdi Feyzabadi, Vahid, Yip, Paul, Yonemoto, Naohiro, Yousof, Hebat Allah Salah A., Yu, Chuanhua, Yu, Yong, Yusefzadeh, Hasan, Zaki, Leila, Zaman, Sojib Bin, Zamanian, Maryam, Zhang, Zhi Jiang, Zhang, Yunquan, Ziapour, Arash, Hay, Simon I., and Pigott, David M.

Abstract

Recent evidence suggests that, in some foci, elimination of onchocerciasis from Africa may be feasible with mass drug administration (MDA) of ivermectin. To achieve continental elimination of transmission, mapping surveys will need to be conducted across all implementation units (IUs) for which endemicity status is currently unknown. Using boosted regression tree models with optimised hyperparameter selection, we estimated environmental suitability for onchocerciasis at the 5 × 5-km resolution across Africa. In order to classify IUs that include locations that are environmentally suitable, we used receiver operating characteristic (ROC) analysis to identify an optimal threshold for suitability concordant with locations where onchocerciasis has been previously detected. This threshold value was then used to classify IUs (more suitable or less suitable) based on the location within the IU with the largest mean prediction. Mean estimates of environmental suitability suggest large areas across West and Central Africa, as well as focal areas of East Africa, are suitable for onchocerciasis transmission, consistent with the presence of current control and elimination of transmission efforts. The ROC analysis identified a mean environmental suitability index of 0.71 as a threshold to classify based on the location with the largest mean prediction within the IU. Of the IUs considered for mapping surveys, 50.2% exceed this threshold for suitability in at least one 5×5-km location. The formidable scale of data collection required to map onchocerciasis endemicity across the African continent presents an opportunity to use spatial data to identify areas likely to be suitable for onchocerciasis transmission. National onchocerciasis elimination programmes may wish to consider prioritising these IUs for mapping surveys as human resources, laboratory capacity, and programmatic schedules may constrain survey implementation, and possibly delaying MDA initiation in areas that would

Published
2021

45. An examination of male and female odds ratios by BMI, cigarette smoking, and alcohol consumption for cancers of the oral cavity, pharynx, and larynx in pooled data from 15 case–control studies

Author

Lubin, Jay H., Muscat, Joshua, Gaudet, Mia M., Olshan, Andrew F., Curado, Maria Paula, Dal Maso, Luigino, Wünsch-Filho, Victor, Sturgis, Erich M., Szeszenia-Dabrowska, Neonilia, Castellsague, Xavier, Zhang, Zuo-Feng, Smith, Elaine, Fernandez, Leticia, Matos, Elena, Franceschi, Silvia, Fabianova, Eleonora, Rudnai, Peter, Purdue, Mark P., Mates, Dana, Wei, Qingyi, Herrero, Rolando, Kelsey, Karl, Morgenstern, Hal, Shangina, Oxana, Koifman, Sergio, Lissowska, Jolanta, Levi, Fabio, Daudt, Alexander W., Neto, Jose Eluf, Chen, Chu, Lazarus, Philip, Winn, Deborah M., Schwartz, Stephen M., Boffetta, Paolo, Brennan, Paul, Menezes, Ana, Vecchia, Carlo La, McClean, Michael, Talamini, Renato, Rajkumar, Thangarajan, Hayes, Richard B., and Hashibe, Mia

Published
2011
Full Text
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49. Additional file 2 of Leukemia mortality in children from Latin America: trends and predictions to 2030

Author

Torres-Roman, J. Smith, Valcarcel, Bryan, Guerra-Canchari, Pedro, Santos, Camila Alves Dos, Barbosa, Isabelle Ribeiro, Vecchia, Carlo La, McGlynn, Katherine A., and Dyego Leandro Bezerra De Souza

Subjects
sense organs
Abstract

Additional file 2: Supplementary 2. Estimated annual percent change (EAPC, %) and 95% confidence interval (CI) for leukemia mortality rates in 0–14 years.

Published
2020
Full Text
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50. Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

Author

Kinyoki, Damaris K., Ross, Jennifer M., Lazzar-Atwood, Alice, Munro, Sandra B., Schaeffer, Lauren E., Abbasalizad-Farhangi, Mahdieh, Abbasi, Masoumeh, Abbastabar, Hedayat, Abdelalim, Ahmed, Abdoli, Amir, Abdollahi, Mohammad, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Nebiyu Dereje, Abebo, Teshome Abuka, Abegaz, Kedir Hussein, Abolhassani, Hassan, Abreu, Lucas Guimarães, Abrigo, Michael R. M., Abushouk, Abdelrahman I., Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adabi, Maryam, Adebiyi, Akindele Olupelumi, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adeoye, Abiodun Moshood, Adetokunboh, Olatunji O., Adham, Davoud, Aduroja, Posi Emmanuel, Advani, Shailesh M., Afarideh, Mohsen, Aghaali, Mohammad, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadi, Sepideh, Ahmed, Muktar Beshir, Ahmed, Rushdia, Ajumobi, Olufemi, Akal, Chalachew Genet, Akalu, Temesgen Yihunie, Akinyemiju, Tomi, Akombi, Blessing, Al-Aly, Ziyad, Alam, Samiah, Alamene, Genet Melak, Alanzi, Turki M., Rabanal, Jacqueline Elizabeth Alcalde, Alema, Niguse Meles, Ali, Beriwan Abdulqadir, Ali, Muhammad, Alijanzadeh, Mehran, Alinia, Cyrus, Alipour, Vahid, Alizade, Hesam, Aljunid, Syed Mohamed, Almasi, Afshin, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M., Al-Raddadi, Rajaa M., Altirkawi, Khalid, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J., Amare, Azmeraw T., Amegah, Adeladza Kofi, Amini, Saeed, Rarani, Mostafa Amini, Amiri, Fatemeh, Amit, Arianna Maever Loreche, Anber, Nahla Hamed, Andrei, Catalina Liliana, Ansari, Fereshteh, Ansari-Moghaddam, Alireza, Anteneh, Zelalem Alamrew, Antonio, Carl Abelardo T., Antriyandarti, Ernoiz, Anvari, Davood, Anwer, Razique, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Arab-Zozani, Morteza, Araya, Ephrem Mebrahtu, Arefi, Zohreh, Aremu, Olatunde, Ärnlöv, Johan, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Asadi-Pooya, Ali A., Asgari, Samaneh, Asghari, Babak, Ashagre, Alebachew Fasil, Asrat, Anemaw A., Ataeinia, Bahar, Atalay, Hagos Tasew, Atnafu, Desta Debalkie, Atout, Maha Moh’d Wahbi, Ausloos, Marcel, Avokpaho, Euripide F. G. A., Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayanore, Martin Amogre, Aynalem, Yared A. Asmare, Azadmehr, Abbas, Azari, Samad, Azarian, Ghasem, Azene, Zelalem Nigussie, Babaee, Ebrahim, Badawi, Alaa, Badiye, Ashish D., Bahrami, Mohamad Amin, Baig, Atif Amin A., Bakhtiari, Ahad, Bakkannavar, Shankar M., Balakrishnan, Senthilkumar, Bali, Ayele Geleto, Banach, Maciej, Banik, Palash Chandra, Baradaran-Seyed, Zahra, Baraki, Adhanom Gebreegziabher, Barboza, Miguel A., Bärnighausen, Till Winfried, Barua, Lingkan, Basaleem, Huda, Basu, Sanjay, Bayati, Mohsen, Bayih, Mulat Tirfie, Baynes, Habtamu Wondifraw, Bedi, Neeraj, Behzadifar, Masoud, Behzadifar, Meysam, Bekele, Yibeltal Alemu, Bennett, Derrick A., Berbada, Dessalegn Ajema, Berhe, Kidanemaryam, Berhe, Abadi Kidanemariam, Berman, Adam E., Bernstein, Robert S., Bhageerathy, Reshmi, Bhandari, Dinesh, Bharadwaj, Pankaj, Bhattacharjee, Natalia V., Bhattacharyya, Krittika, Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Sayeed, Muhammad Shahdaat Bin, Birara, Setognal, Birhane, Minuye Biniam Biniam, Birhanu, Minyichil, Biswas, Raaj Kishore, Bitew, Zebenay Workneh, Bogale, Kassawmar Angaw, Bohlouli, Somayeh, Bolla, Srinivasa Rao, Boloor, Archith, Borzì, Antonio M., Borzouei, Shiva, Brady, Oliver J., Bragazzi, Nicola Luigi, Braithwaite, Dejana, Briko, Nikolay Ivanovich, Britton, Gabrielle, Budhathoki, Shyam S., Nagaraja, Sharath Burugina, Busse, Reinhard, Butt, Zahid A., Cahuana-Hurtado, Lucero, Cámera, Luis Alberto, Campos-Nonato, Ismael R., Cano, Jorge, Car, Josip, Cárdenas, Rosario, Carrero, Juan J., Carvalho, Félix, Castaldelli-Maia, João Mauricio, Castañeda-Orjuela, Carlos A., Castro, Franz, Cerin, Ester, Chansa, Collins, Charan, Jaykaran, Chatterjee, Pranab, Chattu, Vijay Kumar, Chauhan, Bal Govind, Chavshin, Ali Reza, Chehrazi, Mohammad, Chichiabellu, Tesfaye Yitna, Chin, Ken Lee, Christopher, Devasahayam J., Chu, Dinh-Toi, Cicuttini, Flavia M., Collison, Michael L., Cork, Michael A., Cormier, Natalie, Cortesi, Paolo Angelo, Costa, Vera M., Dadi, Abel Fekadu Fekadu, Dagnew, Baye, Dahlawi, Saad M. A., Damiani, Giovanni, Darwish, Amira Hamed, Daryani, Ahmad, Das, Jai K., Gupta, Rajat Das, Dávila-Cervantes, Claudio, Davis Weaver, Nicole, Leo, Diego De, Neve, Jan-Walter De, Demeke, Feleke Mekonnen, Demis, Asmamaw Bizuneh, Demissie, Dereje Bayissa, Demoz, Gebre Teklemariam, Denova-Gutiérrez, Edgar, Deribe, Kebede, Desai, Rupak, Desalegn, Beruk Berhanu, Desalew, Assefa, Deshpande, Aniruddha, Dey, Sagnik, Dharmaratne, Samath Dhamminda, Dhillon, Preeti, Dhimal, Meghnath, Dhungana, Govinda Prasad, Nasab, Mostafa Dianati, Diaz, Daniel, Forooshani, Zahra Sadat Dibaji, Dinsa, Girmaye Deye, Dipeolu, Isaac Oluwafemi, Djalalinia, Shirin, Do, Hoa Thi, Do, Huyen Phuc, Doku, Paul Narh, Dorostkar, Fariba, Doshmangir, Leila, Dubey, Manisha, Adema, Bereket Duko, Dunachie, Susanna J., Duncan, Bruce B., Cousin, Ewerton, Durães, Andre R., Earl, Lucas, Leylabadlo, Hamed Ebrahimzadeh, Eftekhari, Aziz, El Sayed, Iman, El Sayed Zaki, Maysaa, El Tantawi, Maha, Elbarazi, Iffat, Elemineh, Demelash Abewa, El-Jaafary, Shaimaa I., El-Khatib, Ziad, Elsharkawy, Aisha, El-Sherbiny, Yasser Mohamed, Elyazar, Iqbal R. F., Emamian, Mohammad Hassan, Enany, Shymaa, Endalew, Daniel Adane, Endalifer, Melese Linger, Eskandari, Khalil, Eskandarieh, Sharareh, Esmaeilnejad, Saman, Esteghamati, Alireza, Etemadi, Arash, Etisso, Atkilt Esaiyas, Fanzo, Jessica, Farahmand, Mohammad, Faraj, Anwar, Farashi, Sajjad, Fareed, Mohammad, Farioli, Andrea, Faro, Andre, Farzadfar, Farshad, Farzam, Hossein, Fatima, Syeda Sadia, Fattahi, Nazir, Fauk, Nelsensius Klau, Fazaeli, Ali Akbar, Fentahun, Netsanet, Ferede, Tomas Y., Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, João C., Feyissa, Garumma Tolu, Filip, Irina, Fischer, Florian, Flohr, Carsten, Foigt, Nataliya A., Folayan, Morenike Oluwatoyin, Fomenkov, Artem Alekseevich, Foroutan, Masoud, Förster, Jana, Francis, Joel Msafiri, Fukumoto, Takeshi, Gayesa, Reta Tsegaye, Geberemariyam, Biniyam Sahiledengle, Gebrehiwot, Tsegaye Tewelde, Gebremariam, Hadush, Gebremariam, Kidane Tadesse, Gebremedhin, Ketema Bizuwork Bizuwork, Gebremeskel, Gebreamlak Gebremedhn, Gebreslassie, Assefa Ayalew Ayalew, Gebretsadik, Gebretsadkan G. G., Gedefaw, Getnet Azeze, Geramo, Yilma Chisha Dea, Gesesew, Hailay Abrha, Geta, Birhanu, Getenet, Agegnehu Bante, Gezae, Kebede Embaye, Ghaffarifar, Fatemeh, Ghafourifard, Mansour, Ghajar, Alireza, Ghajarzadeh, Mahsa, Ghashghaee, Ahmad, Ghiasvand, Hesam, Gholamian, Asadollah, Gilani, Syed Amir, Gill, Tiffany K., Ginawi, Ibrahim Abdelmageed, Goli, Srinivas, Gomes, Nelson G. M., Gopalani, Sameer Vali, Goudarzi, Houman, Goulart, Alessandra C., Govindakarnavar, Arunkumar, Grada, Ayman, Grivna, Michal, Guimarães, Rafael Alves, Guled, Rashid Abdi, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Hafezi-Nejad, Nima, Haile, Michael Tamene, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hall, Brian J., Halvaei, Iman, Hamadeh, Randah R., Hamidi, Yadollah, Handiso, Demelash Woldeyohannes, Hankey, Graeme J., Haririan, Hamidreza, Hariyani, Ninuk, Hasaballah, Ahmed I., Hasan, Md. Mehedi, Hasankhani, Milad, Hasanpoor, Edris, Hasanzadeh, Amir, Hashemian, Maryam, Hassanipour, Soheil, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hawkes, Corinna, Hayat, Khezar, Hayelom, Desta Haftu, Heidari, Behnam, Heidari-Soureshjani, Reza, Hendrie, Delia, Henok, Andualem, Henry, Nathaniel J., Herrero, Mario, Herteliu, Claudiu, Heydarpour, Fatemeh, de Hidru, Hagos D., Hoang, Chi Linh, Hoek, Hans W., Hole, Michael K., Holla, Ramesh, Hollerich, Gillian, Rad, Enayatollah Homaie, Hong, Sung Hwi, Hoogar, Praveen, Horino, Masako, Hossain, Naznin, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Hsairi, Mohamed, Hu, Guoqing, Huda, Tanvir M., Humayun, Ayesha, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Milena D., Imani-Nasab, Mohammad Hasan, Inbaraj, Leeberk Raja, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Iwu, Chidozie C. D., Iwu, Chinwe Juliana, Izadi, Neda, Jaafari, Jalil, Jaca, Anelisa, Jadidi-Niaragh, Farhad, Balalami, Nader Jafari, Jafarinia, Morteza, Jahani, Mohammad Ali, Jakovljevic, Mihajlo, Jalali, Amir, Jalilian, Farzad, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jehan, Fyezah, Jenabi, Ensiyeh, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S., Jia, Peng, John, Oommen, John-Akinola, Yetunde O., Johnson, Kimberly B., Jonas, Jost B., Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jürisson, Mikk, Kabir, Ali, Kabir, Zubair, Kahsay, Amaha, Kahssay, Molla, Kalani, Hamed, Kalankesh, Leila L., Kalhor, Rohollah, Kamiab, Zahra, Kanchan, Tanuj, Kapil, Umesh, Kapoor, Neeti, Karami, Manoochehr, Matin, Behzad Karami, Karch, André, Karim, Mohd A., Karki, Surendra, Kasaeian, Amir, Kasahun, Gebremicheal Gebreslassie, Kasaye, Habtamu Kebebe, Kassa, Tesfaye Dessale, Kassaye, Hagazi Gebremedhin, Kassebaum, Nicholas J., Karyani, Ali Kazemi, Kengne, Andre Pascal, Ketema, Daniel Bekele, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khaksarian, Mojtaba, Khalid, Nauman, Khalil, Ibrahim A., Khalilov, Rovshan, Khan, Asad, Khan, Ejaz Ahmad, Khan, Md Nuruzzaman, Khan, Mohammad Saud, Khan, Muhammad Shahzeb, Khatab, Khaled, Khater, Amir, Khater, Mona M., Khatib, Mahalqua Nazli, Khayamzadeh, Maryam, Khazaei-Pool, Maryam, Khazaei, Mohammad, Khazaei, Salman, Khodayari, Mohammad Taghi, Khosravi, Mohammad Hossein, Khundkar, Roba, Kiadaliri, Ali, Kianipour, Neda, Kiirithio, Daniel N., Kim, Yun Jin, Kimokoti, Ruth W., Kisa, Adnan, Kisa, Sezer, Kolola, Tufa, Komaki, Hamidreza, Kondlahalli, Shivakumar K. M., Koolivand, Ali, Koul, Parvaiz A., Koyanagi, Ai, Kraemer, Moritz U. G., Krishan, Kewal, Krohn, Kris J., Kugbey, Nuworza, Kumar, Manasi, Kumar, Pushpendra, Kumar, Vivek, Kurmi, Om P., Kuti, Oluwatosin, Vecchia, Carlo La, Lacey, Ben, Lad, Deepesh P., Lal, Aparna, Lal, Dharmesh Kumar, Lami, Faris Hasan, Lamichhane, Prabhat, Lang, Justin J., Lansingh, Van C., Lasrado, Savita, Lebedev, Georgy, Lee, Paul H., Lee, Shaun Wen Huey, Leili, Mostafa, Letourneau, Ian D., Lewycka, Sonia, Li, Shanshan, Lim, Lee-Ling, Linn, Shai, Liu, Shiwei, Liu, Simin, Lodha, Rakesh, Longbottom, Joshua, Lopez, Jaifred Christian F., Lorkowski, Stefan, Macarayan, Erlyn Rachelle King, Madadin, Mohammed, El Razek, Hassan Magdy Abd, El Razek, Muhammed Magdy Abd, Maghavani, Dhaval P., Mahasha, Phetole Walter, Mahotra, Narayan Bahadur, Maled, Venkatesh, Maleki, Afshin, Maleki, Shokofeh, Malta, Deborah Carvalho, Manafi, Ali, Manafi, Farzad, Manafi, Navid, Manohar, Narendar Dawanu, Mansour-Ghanaei, Fariborz, Mansouri, Borhan, Mansournia, Mohammad Ali, Mapoma, Chabila Christopher, Marami, Dadi, Marczak, Laurie B., Arnedo, Carlos Alberto Marrugo, Martins-Melo, Francisco Rogerlândio, Masaka, Anthony, Massenburg, Benjamin Ballard, Maulik, Pallab K., Mayala, Benjamin K., Mazidi, Mohsen, Mehndiratta, Man Mohan, Mehri, Freshteh, Mehta, Kala M., Meitei, Wahengbam Bigyananda, Mekonnen, Fantahun Ayenew, Mekonnen, Teferi, Meles, Gebrekiros Gebremichael, Meles, Hagazi Gebre, Melese, Addisu, Mendoza, Walter, Menezes, Ritesh G., Mengesha, Meresa Berwo, Mensah, George A., Meretoja, Tuomo J., Miazgowski, Tomasz, Kostova, Neda Milevska, Miller, Ted R., Mills, Edward J., Mini, G. K., Mir, Seyed Mostafa, Miri, Mohammad, Mirjalali, Hamed, Mirrakhimov, Erkin M., Mirzaei, Hamed, Mirzaei, Maryam, Mirzaei, Roya, Mirzaei-Alavijeh, Mehdi, Mithra, Prasanna, Moazen, Babak, Mohamadi, Efat, Mohamadi-Bolbanabad, Amjad, Mohammad, Karzan Abdulmuhsin, Mohammad, Yousef, Mohammad, Dara K., Darwesh, Aso Mohammad, Mezerji, Naser Mohammad Gholi, Mohammadian-Hafshejani, Abdollah, Mohammadnia-Afrouzi, Mousa, Mohammadoo-Khorasani, Milad, Mohammadpourhodki, Reza, Mohammed, Salahuddin, Mohammed, Shafiu, Mohammed, Jemal Abdu, Mohammed, Ammas Siraj, Mohebi, Farnam, Mokari, Amin, Mokdad, Ali H., Montañez, Julio Cesar, Montero-Zamora, Pablo A., Moodley, Yoshan, Moossavi, Maryam, Moradi, Ghobad, Moradi, Masoud, Moradi, Yousef, Moradi-Joo, Mohammad, Moradi-Lakeh, Maziar, Moradpour, Farhad, Moradzadeh, Rahmatollah, Moraga, Paula, Morrison, Shane Douglas, Mosapour, Abbas, Mosser, Jonathan F., Mouodi, Simin, Khaneghah, Amin Mousavi, Mozaffarian, Dariush, Mueller, Ulrich Otto, Murray, Christopher J. L., Murthy, G. V. S., Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nabavizadeh, Behnam, Naderi, Mehdi, Nadkarni, Girish N., Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Naheed, Aliya, Naik, Gurudatta, Najafi, Farid, Nansseu, Jobert Richie, Narayan, K. M. Venkat, Nascimento, Bruno Ramos, Nayak, Vinod, Nazari, Javad, Ndwandwe, Duduzile Edith, Negoi, Ionut, Negoi, Ruxandra Irina, Ngunjiri, Josephine W., Nguyen, Cuong Tat, Nguyen, Huong Lan Thi, Nigatu, Dabere, Nigatu, Yeshambel T., Nikbakhsh, Rajan, Ningrum, Dina Nur Anggraini, Nnaji, Chukwudi A., Nong, Vuong Minh, Noubiap, Jean Jacques, Nowak, Christoph, Oancea, Bogdan, Ofori-Asenso, Richard, Oghenetega, Onome Bright, Oh, In-Hwan, Oladimeji, Olanrewaju, Oladnabi, Morteza, Olagunju, Andrew T., Olagunju, Tinuke O., Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oluwasanu, Mojisola Morenike, Omer, Muktar Omer, Onwujekwe, Obinna E., Asante, Kwaku Oppong, Oren, Eyal, Orisakwe, Orish Ebere, Ortiz, Alberto, Osarenotor, Osayomwanbo, Osgood-Zimmerman, Aaron E., Owolabi, Mayowa Ojo, P. A., Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Pana, Adrian, Panda-Jonas, Songhomitra, Parsian, Hadi, Pashaei, Tahereh, Pasupula, Deepak Kumar, Patel, Sangram Kishor, Pathak, Ashish, Pathak, Mona, Pati, Sanghamitra, Patle, Ajay, Patton, George C., Paulos, Kebreab, Toroudi, Hamidreza Pazoki, Pepito, Veincent Christian Filipino, Perico, Norberto, Petri, William A., Pickering, Brandon V., Pigott, David M., Pirestani, Majid, Piroozi, Bakhtiar, Pirsaheb, Meghdad, Pokhrel, Khem Narayan, Postma, Maarten J., Pourjafar, Hadi, Pourmalek, Farshad, Kalhori, Reza Pourmirza, Pourshams, Akram, Poustchi, Hossein, Prada, Sergio I., Preotescu, Liliana, Pribadi, Dimas Ria Angga, Syed, Zahiruddin Quazi, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Rafiei, Alireza, Rahim, Fakher, Rahimi-Movaghar, Vafa, Rahman, Muhammad Aziz, Rahman, Sajjad ur, Rai, Rajesh Kumar, Rajabpour-Sanati, Ali, Rajati, Fatemeh, Ramezanzadeh, Kiana, Rana, Saleem Muhammad, Ranabhat, Chhabi Lal, Rao, Sowmya J., Rasella, Davide, Rashedi, Vahid, Rastogi, Prateek, Rathi, Priya, Rawaf, Salman, Rawaf, David Laith, Rawal, Lal, Ray, Sarah E., Remuzzi, Giuseppe, Renjith, Vishnu, Renzaho, Andre M. N., Resnikoff, Serge, Rezaei, Nima, Rezaeian, Shahab, Rezai, Mohammad Sadegh, Rezapour, Aziz, Riahi, Seyed Mohammad, Ribeiro, Ana Isabel, Rickard, Jennifer, Rodriguez, Alina, Roever, Leonardo, Roro, Elias Merdassa, Roshandel, Gholamreza, Rostami, Ali, Rubagotti, Enrico, Saad, Anas M., Saadatagah, Seyedmohammad, Sabde, Yogesh Damodar, Sabour, Siamak, Sadeghi, Ehsan, Sadeghi, Masoumeh, Safari, Saeed, Safari, Yahya, Safarpour, Hamid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, S. Mohammad, Salahshoor, Mohammad Reza, Salam, Nasir, Salehi, Farkhonde, Zahabi, Saleh Salehi, Salem, Hosni, Salem, Marwa R. 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Departamento de Medicina, Instituto de Investigación Sanitaria Fundación Jiménez Díaz (IIS-FJD), Instituto de Investigación Sanitaria Hospital Universitario de La Princesa (IIS-IP), Veritati - Repositório Institucional da Universidade Católica Portuguesa, Biosciences, University of Helsinki, Clinicum, HUS Comprehensive Cancer Center, Institute for Molecular Medicine Finland, Department of Earth Observation Science, UT-I-ITC-ACQUAL, Faculty of Geo-Information Science and Earth Observation, Sálfræðideild (HR), Department of Psychology (RU), Samfélagssvið (HR), School of Social Sciences (RU), Háskólinn í Reykjavík, Reykjavik University, Instituto de Investigación Sanitaria Fundación Jiménez Díaz (ISS-FJD), Kinyoki, D, Ross, J, Lazzar-Atwood, A, Munro, S, Schaeffer, L, Abbasalizad-Farhangi, M, Abbasi, M, Abbastabar, H, Abdelalim, A, Abdoli, A, Abdollahi, M, Abdollahpour, I, Abdulkader, R, Abebe, N, Abebo, T, Abegaz, K, Abolhassani, H, Abreu, L, Abrigo, M, Abushouk, A, Accrombessi, M, 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Subjects
Male, Local patterns, Double burden, Börn, Research & Experimental Medicine, Sjúkdómseinkenni, DOUBLE BURDEN, Childhood overweight, Lífefnafræði, Læknisfræði, 0302 clinical medicine, Syndemic, Child, 11 Medical and Health Sciences, under 5 years of age, General Medicine, 3. Good health, Geography, Medicine, Research & Experimental, Child, Preschool, Income, GROWTH, AFRICA, medicine.medical_specialty, Biochemistry & Molecular Biology, RJ, Medicina, Immunology, education, MODELS, wa_395, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, Humans, Author Correction, Developing Countries, Poverty, Biology, LBD Double Burden of Malnutrition Collaborators, Demography, Science & Technology, Wasting Syndrome, Public health, MORTALITY, Infant, Næringarskortur, medicine.disease, Obesity, TRENDS, signs and symptoms, Social Class, Risk factors, Sameindalíffræði, ITC-ISI-JOURNAL-ARTICLE, UNDERNUTRITION, Human medicine, Clinical Medicine, 030217 neurology & neurosurgery, Pediatric Obesity, obesity, Offita, Áhættuþættir, Geographic Mapping, Overweight, RA0421, Global health, risk factors, 030212 general & internal medicine, Signs and symptoms, Wasting, Malnutrition, Global Burden of Diseases, Global Nutrition, low- and middle-income countries, 2. Zero hunger, 1. No poverty, Public Health, Global Health, Social Medicine and Epidemiology, A900 Others in Medicine and Dentistry, Childhood wasting, PREVALENCE, Chemistry, Mapping, Female, Lýðheilsa, medicine.symptom, Life Sciences & Biomedicine, GROWTH FAILURE, Nutritional Status, malnutrition, ITC-HYBRID, ws_115, children, Environmental health, medicine, Erfðafræði, wd_200, Malnutrition, Infant, Newborn, Klinisk medicin, Cell Biology, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, 3121 General medicine, internal medicine and other clinical medicine, NA
Abstract

Artículo con numerosos autores, sólo se mencionan el primero, los de la UAM y grupo colectivo, A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of, This work was primarily supported by grant OPP1132415 from the Bill & Melinda Gates Foundation awarded to S.I.H.

Published
2020

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