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4. A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project

Author

Barmpas, Petros, Tasoulis, Sotiris, Vrahatis, Aristidis G., Georgakopoulos, Spiros V., Anagnostou, Panagiotis, Prina, Matthew, Ayuso-Mateos, José Luis, Bickenbach, Jerome, Bayes, Ivet, Bobak, Martin, Caballero, Francisco Félix, Chatterji, Somnath, Egea-Cortés, Laia, García-Esquinas, Esther, Leonardi, Matilde, Koskinen, Seppo, Koupil, Ilona, Paja̧k, Andrzej, Prince, Martin, Sanderson, Warren, Scherbov, Sergei, Tamosiunas, Abdonas, Galas, Aleksander, Haro, Josep Maria, Sanchez-Niubo, Albert, Plagianakos, Vassilis P., and Panagiotakos, Demosthenes

Published
2022
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8. The associations between traumatic experiences and subsequent onset of a substance use disorder: Findings from the World Health Organization World Mental Health surveys

Author

Aguilar-Gaxiola, Sergio, Al-Hamzawi, Ali, Al-Kaisy, Mohammed Salih, Alonso, Jordi, Altwaijri, Yasmin, Helena Andrade, Laura, Atwoli, Lukoye, Benjet, Corina, Borges, Guilherme, Bromet, Evelyn J., Bruffaerts, Ronny, Bunting, Brendan, Caldas-de-Almeida, Jose Miguel, Cardoso, Graça, Chatterji, Somnath, Cia, Alfredo H., Degenhardt, Louisa, Demyttenaere, Koen, Florescu, Silvia, Girolamo, Giovanni de, Gureje, Oye, Haro, Josep Maria, Harris, Meredith G., Hinkov, Hristo, Hu, Chi-yi, de Jonge, Peter, Karam, Aimee Nasser, Karam, Elie G., Kawakami, Norito, Kessler, Ronald C., Kiejna, Andrzej, Kovess-Masfety, Viviane, Lee, Sing, Lepine, Jean-Pierre, McGrath, John, Medina-Mora, Maria Elena, Mneimneh, Zeina, Moskalewicz, Jacek, Navarro-Mateu, Fernando, Piazza, Marina, Posada-Villa, Jose, Scott, Kate M., Slade, Tim, Stagnaro, Juan Carlos, Stein, Dan J., ten Have, Margreet, Torres, Yolanda, Viana, Maria Carmen, Vigo, Daniel V., Whiteford, Harvey, Williams, David R., Wojtyniak, Bogdan, Bharat, Chrianna, Glantz, Meyer D., de Girolamo, Giovanni, Karam, Georges, Makanjuola, Victor, Posada-Villa, José, Tachimori, Hisateru, and Tintle, Nathan

Published
2022
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9. Unsupervised Learning for Large Scale Data

Author

Barmpas, Petros, primary, Tasoulis, Sotiris, additional, Vrahatis, Aristidis G., additional, Anagnostou, Panagiotis, additional, Georgakopoulos, Spiros, additional, Prina, Matthew, additional, Ayuso-Mateos, José Luis, additional, Bickenbach, Jerome, additional, Bayes, Ivet, additional, Bobaki, Martin, additional, Caballero, Francisco Félix, additional, Chatterji, Somnath, additional, Egea-Cortés, Laia, additional, García-Esquinas, Esther, additional, Leonardi, Matilde, additional, Koskinen, Seppo, additional, Koupil, Ilona, additional, Pająk, Andrzej, additional, Prince, Martin, additional, Sanderson, Warren, additional, Scherbov, Sergei, additional, Tamosiunas, Abdonas, additional, Galas, Aleksander, additional, MariaHaro, Josep, additional, Sanchez-Niubo, Albert, additional, Plagianakos, Vassilis P., additional, and Panagiotakos, Demosthenes, additional

Published
2022
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10. Data gaps towards health development goals, 47 low- and middle-income countries/Lacunes dans les donnees relatives aux objectifs de developpement lies a la sante dans 47 pays a faible et moyen revenue/Carencias de datos hacia los objetivos de desarrollo sanitario en 47 paises de ingresos bajos y medios

Author

Zhao, Luhua, Cao, Bochen, Borghi, Elaine, Chatterji, Somnath, Garcia-Saiso, Sebastian, Rashidian, Arash, Doctor, Henry Victor, D'Agostino, Marcelo, Karamagi, Humphrey C., Novillo-Ortiz, David, Landry, Mark, Hosseinpoor, Ahmad Reza, Noor, Abdisalan, Riley, Leanne, Cox, Adrienne, Gao, Jun, Litaveczh, Steve, and Asma, Samira

Subjects
Sustainable development -- Surveys, Physical instruments -- Surveys, Child abuse -- Surveys, Skilled labor -- Surveys, Public health -- Surveys, Health, World Health Assembly -- Surveys, United Nations. General Assembly -- Surveys
Abstract

Objective To assess the availability and gaps in data for measuring progress towards health-related sustainable development goals and other targets in selected low- and middle-income countries. Methods We used 14 international population surveys to evaluate the health data systems in the 47 least developed countries over the years 2015-2020. We reviewed the survey instruments to determine whether they contained tools that could be used to measure 46 health-related indicators defined by the World Health Organization. We recorded the number of countries with data available on the indicators from these surveys. Findings Twenty-seven indicators were measurable by the surveys we identified. The two health emergency indicators were not measurable by current surveys. The percentage of countries that used surveys to collect data over 2015-2020 were lowest for tuberculosis (2/47; 4.3%), hepatitis B (3/47; 6.4%), human immunodeficiency virus (11/47; 23.4%), child development status and child abuse (both 13/47; 27.7%), compared with safe drinking water (37/47; 78.7%) and births attended by skilled health personnel (36/47; 76.6%). Nineteen countries collected data on 21 or more indicators over 2015-2020 while nine collected data on no indicators; over 2018-2020 these numbers reduced to six and 20, respectively. Conclusion Examining selected international surveys provided a quick summary of health data available in the 47 least developed countries. We found major gaps in health data due to long survey cycles and lack of appropriate survey instruments. Novel indicators and survey instruments would be needed to track the fast-changing situation of health emergencies. Objectif Evaluer les donnees disponibles et les lacunes dans la mesure des progres effectues pour atteindre les objectifs de developpement durable lies a la sante et d'autres objectifs dans une serie de pays a faible et moyen revenu. Methodes Nous nous sommes bases sur 14 enquetes internationales menees au sein de la population afin d'analyser les systemes de donnees sur la sante dans 47 pays figurant parmi les moins developpes entre 2015 et 2020. Nous avons egalement passe en revue le materiel d'enquete pour determiner s'il contenait des outils pouvant servir a mesurer 46 indicateurs sanitaires, tels que definis par l'Organisation mondiale de la Sante. Enfin, nous avons recense le nombre de pays possedant des donnees sur les indicateurs issus de ces enquetes. Resultats Nous avons identifie des enquetes dans lesquelles 27 indicateurs etaient mesurables. Les deux indicateurs relatifs aux urgences sanitaires etaient impossibles a evaluer a l'aide des enquetes existantes. Les pourcentages les plus bas de pays recourant a des enquetes pour recolter des donnees entre 2015 et 2020 s'appliquaient a la tuberculose (2/47; 4,3%), a l'hepatite B (3/47; 6,4%), au virus de l'immunodeficience humaine (11/47; 23,4%), au stade de developpement des enfants et a leur maltraitance (tous deux 13/47; 27,7%). A l'autre extremite se trouvaient l'acces a l'eau potable (37/47; 78,7%) et les accouchements assistes par du personnel qualifie (36/47; 76,6%). Dix-neuf pays ont recueilli des donnees sur minimum 21 indicateurs durant la periode comprise entre 2015 et 2020, tandis que neuf n'en ont collecte sur aucun d'entre eux; entre 2018 et 2020, ces chiffres sont passes a 6 et 20 respectivement. Conclusion Lexamen d'une selection d'enquetes internationales nous a fourni un bref apercu des donnees disponibles dans les 47 pays les moins developpes. Nous avons decele des lacunes considerables dans les donnees liees a la sante, en raison des longs cycles d'enquete et du manque de materiel adequat. De nouveaux outils et indicateurs seraient necessaires pour suivre l'evolution rapide de la situation en cas d'urgence sanitaire. Objetivo Evaluar la disponibilidad y las carencias de datos para medir el progreso hacia los objetivos de desarrollo sostenible relacionados con la salud y otras metas en paises seleccionados de ingresos bajos y medios. Metodos Se utilizaron 14 encuestas internacionales de poblacion para evaluar los sistemas de datos sanitarios en 47 paises menos desarrollados durante los anos 2015 a 2020. Se revisaron los instrumentos de las encuestas para determinar si incluian herramientas que se pudieran aplicar para medir 46 indicadores de salud que establece la Organizacion Mundial de la Salud. Se registro el numero de paises con datos disponibles sobre los indicadores de estas encuestas. Resultados Las encuestas que se seleccionaron permitieron medir 27 indicadores, pero no fue posible medir los dos indicadores de emergencias sanitarias mediante las encuestas actuales. El porcentaje de paises que aplicaron encuestas para recopilar datos entre 2015 y 2020 fue el mas bajo para la tuberculosis (2/47; 4,3 %), la hepatitis B (3/47; 6,4 %), el virus de la inmunodeficiencia humana (11/47; 23,4 %), el estado de desarrollo infantil y el maltrato infantil (ambos 13/47; 27,7 %), en comparacion con el agua potable (37/47; 78,7 %) y los partos a cargo de personal sanitario cualificado (36/47; 76,6 %). Diecinueve paises recopilaron datos sobre 21 o mas indicadores entre 2015 y 2020, mientras que 9 no recopilaron datos sobre ningun indicador; entre 2018 y 2020 estas cifras disminuyeron a 6 y 20, respectivamente. Conclusion El analisis de encuestas internacionales seleccionadas proporciono un breve resumen de los datos sanitarios disponibles en los 47 paises menos desarrollados. Se encontraron importantes carencias en los datos sanitarios debido a los largos ciclos de las encuestas y a la falta de instrumentos de encuesta adecuados. Se necesitarian nuevos indicadores e instrumentos de encuesta para hacer un seguimiento de las situaciones de emergencia sanitaria, que cambian muy rapido. [phrase omitted], Introduction The United Nations (UN) Transforming our world: the 2030 agenda for sustainable development is a global plan shared by Member States for a far healthier, more prosperous world. (1,2) [...]

Published
2022
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12. Perceived helpfulness of treatment for alcohol use disorders: Findings from the World Mental Health Surveys

Author

Al-Hamzawi, Ali, Al-Kaisy, Mohammed Salih, Alonso, Jordi, Altwaijri, Yasmin A., Andrade, Laura Helena, Atwoli, Lukoye, Benjet, Corina, Borges, Guilherme, Bromet, Evelyn J., Bruffaerts, Ronny, Bunting, Brendan, Caldas-de-Almeida, Jose Miguel, Cardoso, Graça, Chatterji, Somnath, Cia, Alfredo H., Degenhardt, Louisa, Demyttenaere, Koen, Florescu, Silvia, Giovanni de Girolamo, Gureje, Oye, Haro, Josep Maria, Harris, Meredith G., Hinkov, Hristo, Hu, Chi-yi, Peter de Jonge, Karam, Aimee Nasser, Karam, Elie G., Karam, Georges, Kawakami, Norito, Kessler, Ronald C., Kiejna, Andrzej, Kovess-Masfety, Viviane, Lee, Sing, Lepine, Jean-Pierre, McGrath, John J., Medina-Mora, Maria Elena, Mneimneh, Zeina, Moskalewicz, Jacek, Navarro-Mateu, Fernando, Piazza, Marina, Posada-Villa, Jose, Scott, Kate M., Slade, Tim, Stagnaro, Juan Carlos, Stein, Dan J., Margreet ten Have, Torres, Yolanda, Viana, Maria Carmen, Vigo, Daniel V., Whiteford, Harvey, Williams, David R., Wojtyniak, Bogdan, Bharat, Chrianna, Chiu, Wai Tat, Kazdin, Alan E., Sampson, Nancy A., de Girolamo, Giovanni, Hu, Chiyi, Karam, Aimee N., Makanjuola, Victor, Posada-Villa, José, Rapsey, Charlene, Tachimori, Hisateru, ten Have, Margreet, and Zarkov, Zahari

Published
2021
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14. Proof‐of‐concept of a data‐driven approach to estimate the associations of comorbid mental and physical disorders with global health‐related disability.

Author

de Vries, Ymkje Anna, Alonso, Jordi, Chatterji, Somnath, de Jonge, Peter, Lokkerbol, Joran, McGrath, John J., Petukhova, Maria V., Sampson, Nancy A., Sverdrup, Erik, Vigo, Daniel V., Wager, Stefan, Al‐Hamzawi, Ali, Borges, Guilherme, Bruffaerts, Ronny, Bunting, Brendan, Chardoul, Stephanie, Karam, Elie G., Kiejna, Andrzej, Kovess‐Masfety, Viviane, and Navarro‐Mateu, Fernando

Subjects
MENTAL health surveys, ASSOCIATION of ideas, MENTAL illness, PROOF of concept, MEDICAL registries, PEOPLE with disabilities
Abstract

Objective: The standard method of generating disorder‐specific disability scores has lay raters make rankings between pairs of disorders based on brief disorder vignettes. This method introduces bias due to differential rater knowledge of disorders and inability to disentangle the disability due to disorders from the disability due to comorbidities. Methods: We propose an alternative, data‐driven, method of generating disorder‐specific disability scores that assesses disorders in a sample of individuals either from population medical registry data or population survey self‐reports and uses Generalized Random Forests (GRF) to predict global (rather than disorder‐specific) disability assessed by clinician ratings or by survey respondent self‐reports. This method also provides a principled basis for studying patterns and predictors of heterogeneity in disorder‐specific disability. We illustrate this method by analyzing data for 16 disorders assessed in the World Mental Health Surveys (n = 53,645). Results: Adjustments for comorbidity decreased estimates of disorder‐specific disability substantially. Estimates were generally somewhat higher with GRF than conventional multivariable regression models. Heterogeneity was nonsignificant. Conclusions: The results show clearly that the proposed approach is practical, and that adjustment is needed for comorbidities to obtain accurate estimates of disorder‐specific disability. Expansion to a wider range of disorders would likely find more evidence for heterogeneity. [ABSTRACT FROM AUTHOR]

Published
2024
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17. The epidemiology of drug use disorders cross-nationally: Findings from the WHO’s World Mental Health Surveys

Author

Degenhardt, Louisa, Bharat, Chrianna, Glantz, Meyer D., Sampson, Nancy A., Scott, Kate, Lim, Carmen C.W., Aguilar-Gaxiola, Sergio, Al-Hamzawi, Ali, Alonso, Jordi, Andrade, Laura H., Bromet, Evelyn J., Bruffaerts, Ronny, Bunting, Brendan, de Girolamo, Giovanni, Gureje, Oye, Haro, Josep Maria, Harris, Meredith G., He, Yanling, de Jonge, Peter, Karam, Elie G., Karam, Georges E., Kiejna, Andrzej, Lee, Sing, Lepine, Jean-Pierre, Levinson, Daphna, Makanjuola, Victor, Medina-Mora, Maria Elena, Mneimneh, Zeina, Navarro-Mateu, Fernando, Posada-Villa, José, Stein, Dan J., Tachimori, Hisateru, Torres, Yolanda, Zarkov, Zahari, Chatterji, Somnath, and Kessler, Ronald C.

Published
2019
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22. Pain rates in general population for the period 1991–2015 and 10-years prediction: results from a multi-continent age-period-cohort analysis

Author

Guido, Davide, Leonardi, Matilde, Mellor-Marsá, Blanca, Moneta, Maria V., Sanchez-Niubo, Albert, Tyrovolas, Stefanos, Giné-Vázquez, Iago, Haro, Josep M., Chatterji, Somnath, Bobak, Martin, Ayuso-Mateos, Jose L., Arndt, Holger, Koupil, Ilona, Bickenbach, Jerome, Koskinen, Seppo, Tobiasz-Adamczyk, Beata, Panagiotakos, Demosthenes, and Raggi, Alberto

Published
2020
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23. Predictors of pain in general ageing populations: results from a multi-country analysis based on ATHLOS harmonized database

Author

Raggi, Alberto, Leonardi, Matilde, Mellor-Marsá, Blanca, Moneta, Maria V., Sanchez-Niubo, Albert, Tyrovolas, Stefanos, Giné-Vázquez, Iago, Haro, Josep M., Chatterji, Somnath, Bobak, Martin, Ayuso-Mateos, Jose L., Arndt, Holger, Hossin, Muhammad Z., Bickenbach, Jerome, Koskinen, Seppo, Tobiasz-Adamczyk, Beata, Panagiotakos, Demosthenes, and Corso, Barbara

Published
2020
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30. Connecting and feeling: Associations between social factors and emotions in nine countries

Author

Castelletti, Chiara, Lara Pérez, Elvira, Tobiasz Adamczyk, Beata, Koskinen, Seppo, Olaya, Beatriz, Haro, Josep Maria, Leonardi, Matilde, Kowal, Paul, Chatterji, Somnath, Ayuso Mateos, José Luis, Miret García, Marta, and UAM. Departamento de Psiquiatría

Subjects
Arts and Humanities (miscellaneous), Population-based samples, Social factors, Wellbeing, Medicina, Loneliness, Emotions, General Medicine, General Psychology
Abstract

We aimed to explore the distribution of positive and negative emotions across nine low-, middle- and high-income countries; and the association between social factors and these emotions. Data were drawn from the SAGE and the COURAGE studies, with 52,553 participants. Emotions were assessed through the day reconstruction method.Sociodemographic characteristics and social factors were also measured. Multiple linear regressions were performed. Finland, China and African countries showed significantly lower scores on the negative emotions, whereas positive emotions were more homogeneous across countries. Loneliness was positively associated with negative. emotions and negatively associated with positive ones; frequent social participation was related with higher scores in positive emotions; and lower trust with higher levels of feeling rushed, irritated, depressed and less calm. The extent to which each emotion was felt varied across countries, but there seems to exist an association of social factors with the emotions, The research leading to these results has received funding from the US National Institute on Ageing Interagency Agreements (OGHA 04034785, YA1323–08-CN-0020, Y1-AG-1005-01 and R01-AG034479) and research grant (R01-AG034479), the European Community’s Seventh Framework Programme (grant agreement 223071 - COURAGE in Europe), the Instituto de Salud Carlos III (FIS research grants PS09/00295, PS09/01845, PI12/01490, PI13/00059, PI16/00218, PI16/01073 and PI16/00177), the Spanish Ministry of Economy and Competitiveness ACI Promociona (ACI2009–u201310101010) and the Centro de Investigación Biomédica en Red de Salud Mental (DOI: 10.13039/501100006751). Elvira Lara’s work is supported by the “Juan de la Cierva” postdoctoral program (IJC2019-041846-I) of the Spanish Ministry of Science and Innovation. Beatriz Olaya’s work is supported by the Miguel Servet (CP20/00040) contract, funded by the Instituto de Salud Carlos III and co-funded by the European Union (ERDF/ESF, “Investing in your future”). Chiara Castelletti’s work is supported by the programme “Contratos predoctorales para Formación de Personal Investigador, FPI-UAM,” Universidad Autónoma de Madrid, Spain.

Published
2023

35. The associations between traumatic experiences and subsequent onset of a substance use disorder: Findings from the World Health Organization World Mental Health surveys

Author

Degenhardt, Louisa, primary, Bharat, Chrianna, additional, Glantz, Meyer D., additional, Bromet, Evelyn J., additional, Alonso, Jordi, additional, Bruffaerts, Ronny, additional, Bunting, Brendan, additional, de Girolamo, Giovanni, additional, de Jonge, Peter, additional, Florescu, Silvia, additional, Gureje, Oye, additional, Haro, Josep Maria, additional, Harris, Meredith G., additional, Hinkov, Hristo, additional, Karam, Elie G., additional, Karam, Georges, additional, Kovess-Masfety, Viviane, additional, Lee, Sing, additional, Makanjuola, Victor, additional, Medina-Mora, Maria Elena, additional, Navarro-Mateu, Fernando, additional, Piazza, Marina, additional, Posada-Villa, José, additional, Scott, Kate M., additional, Stein, Dan J., additional, Tachimori, Hisateru, additional, Tintle, Nathan, additional, Torres, Yolanda, additional, Viana, Maria Carmen, additional, Kessler, Ronald C., additional, Aguilar-Gaxiola, Sergio, additional, Al-Hamzawi, Ali, additional, Al-Kaisy, Mohammed Salih, additional, Altwaijri, Yasmin, additional, Helena Andrade, Laura, additional, Atwoli, Lukoye, additional, Benjet, Corina, additional, Borges, Guilherme, additional, Caldas-de-Almeida, Jose Miguel, additional, Cardoso, Graça, additional, Chatterji, Somnath, additional, Cia, Alfredo H., additional, Degenhardt, Louisa, additional, Demyttenaere, Koen, additional, Girolamo, Giovanni de, additional, Hu, Chi-yi, additional, Karam, Aimee Nasser, additional, Kawakami, Norito, additional, Kiejna, Andrzej, additional, Lepine, Jean-Pierre, additional, McGrath, John, additional, Mneimneh, Zeina, additional, Moskalewicz, Jacek, additional, Posada-Villa, Jose, additional, Slade, Tim, additional, Stagnaro, Juan Carlos, additional, ten Have, Margreet, additional, Vigo, Daniel V., additional, Whiteford, Harvey, additional, Williams, David R., additional, and Wojtyniak, Bogdan, additional

Published
2022
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37. The descriptive epidemiology of DSM-IV Adult ADHD in the World Health Organization World Mental Health Surveys

Author

Fayyad, John, Sampson, Nancy A., Hwang, Irving, Adamowski, Tomasz, Aguilar-Gaxiola, Sergio, Al-Hamzawi, Ali, Andrade, Laura H. S. G., Borges, Guilherme, de Girolamo, Giovanni, Florescu, Silvia, Gureje, Oye, Haro, Josep Maria, Hu, Chiyi, Karam, Elie G., Lee, Sing, Navarro-Mateu, Fernando, O’Neill, Siobhan, Pennell, Beth-Ellen, Piazza, Marina, Posada-Villa, José, ten Have, Margreet, Torres, Yolanda, Xavier, Miguel, Zaslavsky, Alan M., Kessler, Ronald C., Adamowski, Tomasz, Aguilar-Gaxiola, Sergio, Al-Hamzawi, Ali, Al-Kaisy, Mohammad, Subaie, Abdullah Al, Alonso, Jordi, Altwaijri, Yasmin, Andrade, Laura Helena, Atwoli, Lukoye, Auerbach, Randy P., Axinn, William G., Benjet, Corina, Borges, Guilherme, Bossarte, Robert M., Bromet, Evelyn J., Bruffaerts, Ronny, Bunting, Brendan, Caffo, Ernesto, de Almeida, Jose Miguel Caldas, Cardoso, Graca, Cia, Alfredo H., Chardoul, Stephanie, Chatterji, Somnath, Filho, Alexandre Chiavegatto, Cuijpers, Pim, Degenhardt, Louisa, de Girolamo, Giovanni, de Graaf, Ron, de Jonge, Peter, Demyttenaere, Koen, Ebert, David D., Evans-Lacko, Sara, Fayyad, John, Fiestas, Fabian, Florescu, Silvia, Forresi, Barbara, Galea, Sandro, Germine, Laura, Gilman, Stephen E., Ghimire, Dirgha J., Glantz, Meyer D., Gureje, Oye, Haro, Josep Maria, He, Yanling, Hinkov, Hristo, Hu, Chi-yi, Huang, Yueqin, Karam, Aimee Nasser, Karam, Elie G., Kawakami, Norito, Kessler, Ronald C., Kiejna, Andrzej, Koenen, Karestan C., Kovess-Masfety, Viviane, Lago, Luise, Lara, Carmen, Lee, Sing, Lepine, Jean-Pierre, Levav, Itzhak, Levinson, Daphna, Liu, Zhaorui, Martins, Silvia S., Matschinger, Herbert, McGrath, John J., McLaughlin, Katie A., Medina-Mora, Maria Elena, Mneimneh, Zeina, Moskalewicz, Jacek, Murphy, Samuel D., Navarro-Mateu, Fernando, Nock, Matthew K., O’Neill, Siobhan, Oakley-Browne, Mark, Hans Ormel, J., Pennell, Beth-Ellen, Piazza, Marina, Pinder-Amaker, Stephanie, Piotrowski, Patryk, Posada-Villa, Jose, Ruscio, Ayelet M., Scott, Kate M., Shahly, Vicki, Silove, Derrick, Slade, Tim, Smoller, Jordan W., Stagnaro, Juan Carlos, Stein, Dan J., Street, Amy E., Tachimori, Hisateru, Taib, Nezar, Have, Margreet ten, Thornicroft, Graham, Torres, Yolanda, Viana, Maria Carmen, Vilagut, Gemma, Wells, Elisabeth, Williams, David R., Williams, Michelle A., Wojtyniak, Bogdan, Zaslavsky, Alan M., and on behalf of the WHO World Mental Health Survey Collaborators

Published
2017
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38. cross-national evidence from the World Mental Health Surveys

Author

Gmelin, Jan Ole H., De Vries, Ymkje Anna, Baams, Laura, Aguilar-Gaxiola, Sergio, Alonso, Jordi, Borges, Guilherme, Bunting, Brendan, Cardoso, Graça, Florescu, Silvia, Gureje, Oye, Karam, Elie G., Kawakami, Norito, Lee, Sing, Mneimneh, Zeina, Navarro-Mateu, Fernando, Posada-Villa, José, Rapsey, Charlene, Slade, Tim, Stagnaro, Juan Carlos, Torres, Yolanda, Kessler, Ronald C., de Jonge, Peter, Al-Hamzawi, Ali, Andrade, Laura Helena, Atwoli, Lukoye, Benjet, Corina, Bromet, Evelyn J., Bruffaerts, Ronny, Caldas-de-Almeida, Jose Miguel, Chatterji, Somnath, Cia, Alfredo H., Degenhardt, Louisa, Demyttenaere, Koen, de Girolamo, Giovanni, Haro, Josep Maria, Harris, Meredith, Hinkov, Hristo, Hu, Chi yi, Karam, Aimee Nasser, NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM), and Centro de Estudos de Doenças Crónicas (CEDOC)

Subjects
Psychiatry and Mental health, Cross-national, Social Psychology, SDG 3 - Good Health and Well-being, Epidemiology, Sexual orientation, Health status disparities, Mental disorders, Health(social science)
Abstract

Funding Information: The World Health Organization World Mental Health (WMH) Survey Initiative is supported by the United States National Institute of Mental Health (NIMH; R01 MH070884), the John D. and Catherine T. MacArthur Foundation, the Pfizer Foundation, the United States Public Health Service (R13-MH066849, R01-MH069864, and R01 DA016558), the Fogarty International Center (FIRCA R03-TW006481), the Pan American Health Organization, Eli Lilly and Company, Ortho-McNeil Pharmaceutical Inc., GlaxoSmithKline, and Bristol-Myers Squibb. We thank the staff of the WMH Data Collection and Data Analysis Coordination Centres for assistance with instrumentation, fieldwork, and consultation on data analysis. None of the funders had any role in the design, analysis, interpretation of results, or preparation of this paper. The views and opinions expressed in this report are those of the authors and should not be construed to represent the views of the World Health Organization, other sponsoring organizations, agencies, or governments. The Argentina survey—Estudio Argentino de Epidemiología en Salud Mental (EASM)—was supported by a grant from the Argentinian Ministry of Health (Ministerio de Salud de la Nación)—(Grant Number 2002-17270/13-5). The 2007 Australian National Survey of Mental Health and Wellbeing is funded by the Australian Government Department of Health and Ageing. The Colombian National Study of Mental Health (NSMH) is supported by the Ministry of Social Protection. The Mental Health Study Medellín—Colombia was carried out and supported jointly by the Center for Excellence on Research in Mental Health (CES University) and the Secretary of Health of Medellín. The World Mental Health Japan (WMHJ) Survey is supported by the Grant for Research on Psychiatric and Neurological Diseases and Mental Health (H13-SHOGAI-023, H14-TOKUBETSU-026, H16-KOKORO-013, H25-SEISHIN-IPPAN-006) from the Japan Ministry of Health, Labour and Welfare. The Mexican National Comorbidity Survey (MNCS) is supported by The National Institute of Psychiatry Ramon de la Fuente (INPRFMDIES 4280) and by the National Council on Science and Technology (CONACyT-G30544- H), with supplemental support from the PanAmerican Health Organization (PAHO). Te Rau Hinengaro: The New Zealand Mental Health Survey (NZMHS) is supported by the New Zealand Ministry of Health, Alcohol Advisory Council, and the Health Research Council. The Northern Ireland Study of Mental Health was funded by the Health & Social Care Research & Development Division of the Public Health Agency. The Peruvian World Mental Health Study was funded by the National Institute of Health of the Ministry of Health of Peru. The Portuguese Mental Health Study was carried out by the Department of Mental Health, Faculty of Medical Sciences, NOVA University of Lisbon, with collaboration of the Portuguese Catholic University, and was funded by Champalimaud Foundation, Gulbenkian Foundation, Foundation for Science and Technology (FCT) and Ministry of Health. The Romania WMH study projects "Policies in Mental Health Area" and "National Study regarding Mental Health and Services Use" were carried out by National School of Public Health & Health Services Management (former National Institute for Research & Development in Health), with technical support of Metro Media Transilvania, the National Institute of Statistics-National Centre for Training in Statistics, SC, Cheyenne Services SRL, Statistics Netherlands and were funded by Ministry of Public Health (former Ministry of Health) with supplemental support of Eli Lilly Romania SRL. The Psychiatric Enquiry to General Population in Southeast Spain—Murcia (PEGASUS-Murcia) Project has been financed by the Regional Health Authorities of Murcia (Servicio Murciano de Salud and Consejería de Sanidad y Política Social) and Fundación para la Formación e Investigación Sanitarias (FFIS) of Murcia. The US National Comorbidity Survey Replication (NCS-R) is supported by the National Institute of Mental Health (NIMH; U01-MH60220) with supplemental support from the National Institute of Drug Abuse (NIDA), the Substance Abuse and Mental Health Services Administration (SAMHSA), the Robert Wood Johnson Foundation (RWJF; Grant 044708), and the John W. Alden Trust. A complete list of all within-country and cross-national WMH publications can be found at http://www.hcp.med.harvard.edu/wmh . Publisher Copyright: © 2022, The Author(s). Purpose: Lesbian,gay, and bisexual (LGB) individuals, and LB women specifically, have anincreased risk for psychiatric morbidity, theorized to result from stigma-baseddiscrimination. To date, no study has investigated the mental healthdisparities between LGB and heterosexual AQ1individuals in a largecross-national population-based comparison. The current study addresses thisgap by examining differences between LGB and heterosexual participants in 13cross-national surveys, and by exploring whether these disparities wereassociated with country-level LGBT acceptance. Since lower social support hasbeen suggested as a mediator of sexual orientation-based differences inpsychiatric morbidity, our secondary aim was to examine whether mental healthdisparities were partially explained by general social support from family andfriends. Methods: Twelve-monthprevalence of DSM-IV anxiety, mood, eating, disruptive behavior, and substancedisorders was assessed with the WHO Composite International DiagnosticInterview in a general population sample across 13 countries as part of theWorld Mental Health Surveys. Participants were 46,889 adults (19,887 males; 807LGB-identified). Results: Maleand female LGB participants were more likely to report any 12-month disorder (OR2.2, p < 0.001 and OR 2.7, p < 0.001, respectively) and most individualdisorders than heterosexual participants. We found no evidence for anassociation between country-level LGBT acceptance and rates of psychiatricmorbidity between LGB and heterosexualAQ2 participants. However, among LBwomen, the increased risk for mental disorders was partially explained by lowergeneral openness with family, although most of the increased risk remainedunexplained. Conclusion: These results provide cross-national evidence for an association between sexual minority status and psychiatric morbidity, and highlight that for women, but not men, this association was partially mediated by perceived openness with family. Future research into individual-level and cross-national sexual minority stressors is needed. publishersversion published

Published
2022

42. Epidemiology of body mass index in Ghana: evidence from WHO Study on global ageing and adult health, Wave 2

Author

Tetteh, John, Yawson, Anita O, Biritwum, Richard, Mensah, George, Minicuci, Nadia, Naidoo, Nirmala, Chatterji, Somnath, Kowal, Paul, DeGraft-Amoah, Daniel, and Yawson, Alfred E

Subjects
Prevalence, Body Mass Index, obesity, Ghana
Abstract

Background: The increased prevalence of overweight and obesity are directly related to economic development, eating habits and changes in physical activity levels.Objective: This study aimed to examine population-level body mass index (BMI) and associated factors.Methods: Data from World Health Organization Study on global AGEing and adult health Ghana Wave 2 conducted in 2015 among adults 18 years and older was used for the analysis. Body mass index was used as the main outcome measure. Inferential statistics involving ordered logistic regression models were carried out to assess risk predictors of obesity.Results: The prevalence of overweight and obesity BMI were 24.7% and 12.9% respectively. The prevalence of obesity varied across the regions, with relatively higher rates in southern regions (highest in the Greater Accra region, 28.3%) and was higher in women than men (20.4% versus 3.9%). Significant predictors [adjusted odds ratio (aOR) with 95% confidence interval (CI)] of obesity included female sex (aOR = 2.94, 95% CI = 2.25 – 3.86), adults aged 50 – 59 years (aOR = 3.95, 95% CI = 2.68 – 5.83), dwellers in the capital region, Greater Accra (aOR = 3.58, 95% CI = 2.02 – 6.36) and ≥ 5 fruit intake [3.12 (1.74 – 5.63)].Conclusion: The prevalence of obesity among adult Ghanaians (≥ 18 years) has increased over two-fold in a decade based on analysis using similar methods and survey data. Increasing age and place of residence are significantly associated with high BMI. Our findings support the implementation of Ghana's 2012 national policy for the prevention and control of chronic non-communicable diseases (NCDs). The policy aims to change the trajectory of factors that contribute to NCD and fulfil WHO's NCD Target 7 for halting the growth in obesity and diabetes by 2025.

Published
2022

46. Treatment gap for anxiety disorders is global: Results of the World Mental Health Surveys in 21 countries

Author

Alonso, Jordi, Liu, Zhaorui, Evans‐Lacko, Sara, Sadikova, Ekaterina, Sampson, Nancy, Chatterji, Somnath, Abdulmalik, Jibril, Aguilar‐Gaxiola, Sergio, Al‐Hamzawi, Ali, Andrade, Laura H., Bruffaerts, Ronny, Cardoso, Graça, Cia, Alfredo, Florescu, Silvia, de Girolamo, Giovanni, Gureje, Oye, Haro, Josep M., He, Yanling, de Jonge, Peter, Karam, Elie G., Kawakami, Norito, Kovess‐Masfety, Viviane, Lee, Sing, Levinson, Daphna, Medina‐Mora, Maria Elena, Navarro‐Mateu, Fernando, Pennell, Beth‐Ellen, Piazza, Marina, Posada‐Villa, José, ten Have, Margreet, Zarkov, Zahari, Kessler, Ronald C., and Thornicroft, Graham

Published
2018
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47. Exposure to air pollution and tobacco smoking and their combined effects on depression in six low- and middle-income countries

Author

Lin, Hualiang, Guo, Yanfei, Kowal, Paul, Airhihenbuwa, Collins O., Di, Qian, Zheng, Yang, Zhao, Xing, Vaughn, Michael G., Howard, Steven, Schootman, Mario, Salinas-Rodriguez, Aaron, Yawson, Alfred E., Arokiasamy, Perianayagam, Manrique-Espinoza, Betty Soledad, Biritwum, Richard B., Rule, Stephen P., Minicuci, Nadia, Naidoo, Nirmala, Chatterji, Somnath, Qian, Zhengmin (Min), Ma, Wenjun, and Wu, Fan

Published
2017

48. Arthritis diagnosis and symptoms are positively associated with specific physical job exposures in lower- and middle-income countries: cross-sectional results from the World Health Organization’s Study on global AGEing and adult health (SAGE)

Author

Brennan-Olsen, Sharon L., Solovieva, Svetlana, Viikari-Juntura, Eira, Ackerman, Ilana N., Bowe, Steven J., Kowal, Paul, Naidoo, Nirmala, Chatterji, Somnath, Wluka, Anita E., Leech, Michelle T., Page, Richard S., Sanders, Kerrie M., Gomez, Fernando, Duque, Gustavo, Green, Darci, and Mohebbi, Mohammadreza

Published
2018
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