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5. Genome-wide association study of esophageal squamous cell cancer identifies shared and distinct risk variants in African and Chinese populations

Author

Chen, Wenlong Carl, Brandenburg, Jean-Tristan, Choudhury, Ananyo, Hayat, Mahtaab, Sengupta, Dhriti, Swiel, Yaniv, Babb de Villiers, Chantal, Ferndale, Lucien, Aldous, Colleen, Soo, Cassandra C., Lee, Sang, Curtis, Charles, Newton, Rob, Waterboer, Tim, Sitas, Freddy, Bradshaw, Debbie, Abnet, Christian C., Ramsay, Michele, Parker, M. Iqbal, Singh, Elvira, Lewis, Cathryn M., and Mathew, Christopher G.

Published
2023
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9. Effectiveness of the Ad26.COV2.S vaccine in health-care workers in South Africa (the Sisonke study): results from a single-arm, open-label, phase 3B, implementation study

Author

Brumskine, William, Naicker, Nivashnee, Makhaza, Disebo, Naicker, Vimla, Naidoo, Logashvari, Spooner, Elizabeth, van Nieuwenhuizen, Elane, Mngadi, Kathryn, Nchabeleng, Maphoshane, Innes, James Craig, Gill, Katherine, Petrick, Friedrich Georg, Barnabas, Shaun, Badal-Faesen, Sharlaa, Kassim, Sheetal, Mahoney, Scott Hayden, Lazarus, Erica, Nana, Anusha, Maboa, Rebone Molobane, Kotze, Philip, Lombaard, Johan, Malan, Daniel Rudolf, Kotze, Sheena, Mohlala, Phuthi, Ward, Amy, Meintjes, Graeme, Urbach, Dorothea, Patel, Faeezah, Diacon, Andreas, Ahmed, Khatija, Grobbelaar, Coert, Mda, Pamela, Dubula, Thozama, Luabeya, Angelique, Mamba, Musawenkosi Bhekithemba, Burgess, Lesley, Dawson, Rodney, Bekker, Linda-Gail, Garrett, Nigel, Goga, Ameena, Fairall, Lara, Reddy, Tarylee, Yende-Zuma, Nonhlanhla, Kassanjee, Reshma, Collie, Shirley, Sanne, Ian, Boulle, Andrew, Seocharan, Ishen, Engelbrecht, Imke, Davies, Mary-Ann, Champion, Jared, Chen, Tommy, Bennett, Sarah, Mametja, Selaelo, Semenya, Mabatlo, Moultrie, Harry, de Oliveira, Tulio, Lessells, Richard John, Cohen, Cheryl, Jassat, Waasila, Groome, Michelle, Von Gottberg, Anne, Le Roux, Engelbert, Khuto, Kentse, Barouch, Dan, Mahomed, Hassan, Wolmarans, Milani, Rousseau, Petro, Bradshaw, Debbie, Mulder, Michelle, Opie, Jessica, Louw, Vernon, Jacobson, Barry, Rowji, Pradeep, Peter, Jonny G, Takalani, Azwi, Odhiambo, Jackline, Mayat, Fatima, Takuva, Simbarashe, Corey, Lawrence, and Gray, Glenda E

Published
2022
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10. Global, regional, and national consumption of animal-source foods between 1990 and 2018: findings from the Global Dietary Database

Author

Abbott, Pamela, Abdollahi, Morteza, Abedi, Parvin, Abumweis, Suhad, Adair, Linda, Al Nsour, Mohannad, Al-Daghri, Nasser, Al-Hamad, Nawal, Al-Hooti, Suad, Al-Zenki, Sameer, Alam, Iftikhar, Ali, Jemal H, Alissa, Eman, Anderson, Simon, Anzid, Karim, Arambepola, Carukshi, Arici, Mustafa, Arsenault, Joanne, Asciak, Renzo, Barbieri, Helene E, Barengo, Noël, Barquera, Simon, Bas, Murat, Becker, Wulf, Beer-Borst, Sigrid, Bergman, Per, Biró, Lajos, Boindala, Sesikeran, Bovet, Pascal, Bradshaw, Debbie, Bukhary, Noriklil BI, Bundhamcharoen, Kanitta, Caballero, Mauricio, Calleja, Neville, Cao, Xia, Capanzana, Mario, Carmikle, Jan, Castetbon, Katia, Castro, Michelle, Cerdena, Corazon, Chang, Hsing-Yi, Charlton, Karen, Chen, Yu, Chen, Mei F, Chiplonkar, Shashi, Cho, Yoonsu, Chuah, Khun-Aik, Costanzo, Simona, Cowan, Melanie, Damasceno, Albertino, Dastgiri, Saeed, De Henauw, Stefaan, DeRidder, Karin, Ding, Eric, Dommarco, Rivera, Don, Rokiah, Duante, Charmaine, Duleva, Vesselka, Duran Aguero, Samuel, Ekbote, Veena, El Ati, Jalila, El Hamdouchi, Asmaa, El-kour, Tatyana, Eldridge, Alison, Elmadfa, Ibrahim, Esteghamati, Alireza, Etemad, Zohreh, Fadzil, Fariza, Farzadfar, Farshad, Fernandez, Anne, Fernando, Dulitha, Fisberg, Regina, Forsyth, Simon, Gamboa-Delgado, Edna, Garriguet, Didier, Gaspoz, Jean-Michel, Gauci, Dorothy, Geleijnse, Marianne, Ginnela, Brahmam, Grosso, Giuseppe, Guessous, Idris, Gulliford, Martin, Gunnarsdottir, Ingibjorg, Hadden, Wilbur, Hadziomeragic, Aida, Haerpfer, Christian, Hakeem, Rubina, Haque, Aminul, Hashemian, Maryam, Hemalatha, Rajkumar, Henjum, Sigrun, Hinkov, Hristo, Hjdaud, Zaiton, Hoffman, Daniel, Hopping, Beth, Houshiar-rad, Anahita, Hsieh, Yao-Te, Hung, Shu-Yi, Huybrechts, Inge, Hwalla, Nahla C, Ibrahim, Hajah M, Ikeda, Nayu, Illescas-Zarate, Daniel, Inoue, Manami, Janakiram, Chandrashekar, Jayawardena, Ranil, Jeewon, Rajesh, Jitnarin, Nattinee, Johansson, Lars, Jonsdottir, Olof, Jundishapur, Ahvaz, Kally, Ola, Kandiah, Mirnalini, Karupaiah, Tilakavati, Keinan-Boker, Lital, Kelishadi, Roya, Khadilkar, Anuradha, Kim, Cho-il, Koksal, Eda, Konig, Jurgen, Korkalo, Liisa, Koster, Jeremy, Kovalskys, Irina, Krishnan, Anand, Kruger, Herculina, Kuriyan-Raj, Rebecca, Kweon, Sanghui, Lachat, Carl, Lai, Yuen, Lanerolle, Pulani, Laxmaiah, Avula, Leclercq, Catherine, Lee, Meei-Shyuan, Lee, Hae-Jeung, Lemming, Eva W, Li, Yanping, Lindström, Jaana, Ling, Annie, Liputo, Nur IL, Lopez-Jaramillo, Patricio, Luke, Amy, Lukito, Widjaja, Lupotto, Elisabette, Ma, Yi, Mahdy, Zaleha A, Malekzadeh, Reza, Manan, Wan, Marchioni, Dirce, Marques, Lydia L, Marques-Vidal, Pedro, Martin-Prevel, Yves, Mathee, Angie, Matsumura, Yasuhiro, Mazumdar, Paramita, Memon, Anjum, Mensink, Gert, Meyer, Alexa, Mirmiran, Parvin, Mirzaei, Masoud, Misra, Puneet, Misra, Anoop, Mitchell, Claudette, Mohamed, Hamid JBJ, Mohammadi-Nasrabadi, Fatemeh, Mohammadifard, Noushin, Moy, Foong M, Musaiger, Abdulrahman, Mwaniki, Elizabeth, Myhre, Jannicke, Nagalla, Balakrishna, Naska, Androniki, Ng, Swee A, Ng, Shu W, Ngoan, Le TN, Noshad, Sina, Ochoa, Angelica, Ocke, Marga, Odenkirk, Jillian, Oh, Kyungwon, Oleas, Mariana, Olivares, Sonia, Orfanos, Philippos, Ortiz-Ulloa, Johana, Otero, Johanna, Ovaskainen, Marja-Leena, Pakseresht, Mohammadreza, Palacios, Cristina, Palmer, Pam, Pan, Wen-Harn, Panagiotakos, Demosthenes, Parajuli, Rajendra, Park, Myungsook, Pekcan, Gulden, Petrova, Stefka, Piaseu, Noppawan, Pitsavos, Christos, Polasa, Kalpagam, Posada, Luz, Pourfarzi, Farhad, Preston, Alan M, Rached, Ingrid, Rahbar, Ali R, Rehm, Colin, Richter, Almut, Riley, Leanne, Salanave, Benoit, Sánchez-Romero, Luz M, Sarrafzadegan, Nizal, Sawada, Norie, Sekiyama, Makiko, Selamat, Rusidah, Shamsuddin, Khadijah, Shariff, Zalilah M, Sharma, Sangita, Sibai, Abla M, Sinkko, Harri, Sioen, Isabelle, Sisa, Ivan, Skeaff, Sheila, Steingrimsdottir, Laufey, Strand, Tor, Suarez-Ortegon, Milton F, Swaminathan, Sumathi, Swan, Gillian, Sygnowska, Elzbieta, Szabo, Maria, Szponar, Lucjan, Tan-Khouw, Ilse, Tapanainen, Heli, Tayyem, Reema, Tedla, Bemnet, Tedstone, Alison, Templeton, Robert, Termote, Celine, Thanopoulou, Anastasia, Thorgeirsdottir, Holmfridur, Thorsdottir, Inga, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Tsugane, Shoichiro, Turrini, Aida, van Oosterhout, Coline, Vartiainen, Erkki, Veerman, J Lennert, Virtanen, Suvi, Vollenweider, Peter, Vossenaar, Marieke, Waidyatilaka, Indu, Waskiewicz, Anna, Waterham, Eveline, Wieler, Lothar, Wondwossen, Tizita, Wu, Suh, Yaakub, Roseyati, Yap, Mabel, Yusof, Safiah, Zaghloul, Sahar, Zajkás, Gábor, Zapata, Maria, Zarina, Khairul, Zohoori, Fatemeh V, Miller, Victoria, Reedy, Julia, Cudhea, Frederick, Zhang, Jianyi, Shi, Peilin, Erndt-Marino, Josh, Coates, Jennifer, Micha, Renata, Webb, Patrick, and Mozaffarian, Dariush

Published
2022
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11. Alcohol, Violence, and Injury-Induced Mortality: Evidence from a Modern-Day Prohibition.

Author

Barron, Kai, Parry, Charles D. H., Bradshaw, Debbie, Dorrington, Rob, Groenewald, Pam, Laubscher, Ria, and Matzopoulos, Richard

Subjects
MORTALITY, VIOLENT crimes, VIOLENCE
Abstract

This paper evaluates the impact of a sudden and unexpected nationwide alcohol sales ban in South Africa. We find that this policy causally reduced injury-induced mortality in the country by at least 14%. We argue that this estimate constitutes a lower bound on the true impact of alcohol on injury-induced mortality. We also document a sharp drop in violent crimes, indicating a tight link between alcohol and aggressive behavior in society. Our results underscore the severe harm that alcohol can cause and point toward a role for policy measures that target the heaviest drinkers in society. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Estimating completeness of birth registration in South Africa, 1996-2011/Estimation de l'exhaustivite de l'enregistrement des naissances en Afrique du Sud, 1996-2011/Estimacion de la integridad del registro de nacimientos en Sudafrica, 1996-2011

Author

Nannan, Nadine, Dorrington, Robert, and Bradshaw, Debbie

Subjects
Child support -- Surveys, Medical informatics -- Surveys, Public sector -- Surveys, Health, United Nations. Children's Fund -- Surveys
Abstract

Objective To estimate the completeness of live birth registration through South Africa's civil registration and vital statistics system between 1996 and 2011. Methods The number of births registered by the civil registration and vital statistics system was compared with independent estimates of the true number of births derived using: (i) the reverse survival method applied to 2011 census data; (ii) the application of estimated age-specific fertility rates to population estimates from censuses and surveys; and (iii) data from the public-sector district health information system. Findings In 1996, an estimated 25% of births were registered within the calendar year of birth and 33% were registered before the end of the subsequent calendar year. By 2008, 76% of registrations occurred within the calendar year of birth, 84% occurred by the end of the following year and 90% occurred before the child's fifth birthday. These improvements were seen in all provinces and differences in completeness between provinces narrowed markedly. Improvements in the completeness of registration coincided with government efforts to strengthen the system, new legislation on vital registration and the introduction of child support grants, which required birth certificates. Interprovincial migration of children influenced the completeness of registration in affected provinces. There was some terminological confusion among government agencies on defining the timeliness of registration and the year of birth. Conclusion The completeness of birth registration in South Africa increased rapidly between 1996 and 2004. To allow international comparison, the method for measuring the completeness of birth registration needs to be standardized. Objectif Estimer l'exhaustivite de l'enregistrement des naissances vivantes dans le systeme sud-africain d'enregistrement et de statistiques de l'etat civil entre 1996 et 2011. Methodes Le nombre de naissances enregistrees par le systeme d'enregistrement et de statistiques de l'etat civil a ete compare a des estimations independantes du nombre reel de naissances, obtenues grace a: (i) la methode des coefficients de survie inversee, appliquee aux donnees du recensement de 2011; (ii) l'application d'estimations du taux de fecondite par age a des previsions demographiques issues de recensements et d'enquetes; (iii) des donnees du secteur public extraites du systeme d'information sanitaire des districts. Resultats On estime qu'en 1996, 25% des naissances ont ete enregistrees pendant l'annee civile de la naissance et 33% avant la fin de l'annee civile suivante. En 2008, 76% des enregistrements ont eu lieu pendant l'annee civile de la naissance, 84% avant la fin de l'annee suivante et 90% avant le cinquieme anniversaire de l'enfant. Ces ameliorations ont ete observees dans toutes les provinces et les differencesentre provinces en matiere d'exhaustivite ont sensiblement diminue. Lamelioration de l'exhaustivite des enregistrements a coincide avec les efforts du gouvernement pour renforcer le systeme, avec une nouvelle legislation sur l'enregistrement des donnees d'etat civil ainsi qu'avec la mise en place d'allocations d'entretien des enfants exigeant un certificat de naissance. La migration interprovinciale des enfants a influe sur l'exhaustivite des enregistrements dans les provinces concernees. Les agences gouvernementales ont connu une certaine confusion terminologique, s'agissant de definir le moment d'enregistrement et l'annee de naissance. Conclusion L'exhaustivite de l'enregistrement des naissances en Afrique du Sud s'est rapidement amelioree entre 1996 et 2004. Afin de permettre une comparaison internationale, il est necessaire de standardiser la methode employee pour mesurer l'exhaustivite de l'enregistrement des naissances. Objetivo Estimar la integridad de la inscripcion de los nacidos vivos mediante el sistema de registro civil y estadisticas vitales de Sudafrica entre 1996 y 2011. Metodos El numero de nacimientos registrados por el sistema de registro civil y de estadisticas vitales se comparo con estimaciones independientes del numero real de nacimientos mediante el uso de: (i) el metodo inverso de supervivencia aplicado a los datos del censo de 2011; (ii) la aplicacion de tasas de fecundidad estimadas por edad a las estimaciones de poblacion de los censos y encuestas; y (iii) los datos del sistema de informacion sanitaria del sector publico de los distritos. Resultados En 1996, se estimo que el 25% de los nacimientos se inscribieron en el mismo ano natural y el 33% se inscribieron antes de que finalizara el ano natural siguiente. En 2008, el 76% de las inscripciones se produjeron a lo largo del mismo ano natural, el 84% al final del ano siguiente y el 90% antes de que el nino cumpliera cinco anos. Estas mejoras se observaron en todas las provincias y las diferencias de integridad entre ellas se redujeron notablemente. Las mejoras en la integridad del registro coinciden con los esfuerzos del Gobierno por fortalecer el sistema, la nueva legislacion sobre el registro civil y la introduccion de subsidios de manutencion infantil, que exigen certificados de nacimiento. La migracion interprovincial de ninos influyo en la integridad del registro en las provincias afectadas. Existe cierta confusion terminologica entre los organismos gubernamentales a la hora de definir el momento de la inscripcion y el ano de nacimiento. Conclusion El numero de nacimientos registrados en Sudafrica aumento rapidamente entre 1996 y 2004. Para permitir la comparacion internacional, es necesario normalizar el metodo de medicion de la integridad del registro de nacimientos., Introduction Actions taken globally to achieve the millennium development goals highlighted the failure of civil registration and vital statistics systems in some low- and middle-income countries to record vital events [...]

Published
2019
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19. Sugar-sweetened beverage intakes among adults between 1990 and 2018 in 185 countries

Author

Lara-Castor, Laura, Micha, Renata, Cudhea, Frederick, Miller, Victoria, Shi, Peilin, Zhang, Jianyi, Sharib, Julia R., Erndt-Marino, Josh, Cash, Sean B., Mozaffarian, Dariush, Bas, Murat, Ali, Jemal Haidar, Abumweis, Suhad, Krishnan, Anand, Misra, Puneet, Hwalla, Nahla Chawkat, Janakiram, Chandrashekar, Liputo, Nur Indrawaty, Musaiger, Abdulrahman, Pourfarzi, Farhad, Alam, Iftikhar, DeRidder, Karin, Termote, Celine, Memon, Anjum, Turrini, Aida, Lupotto, Elisabetta, Piccinelli, Raffaela, Sette, Stefania, Anzid, Karim, Vossenaar, Marieke, Mazumdar, Paramita, Rached, Ingrid, Rovirosa, Alicia, Zapata, María Elisa, Asayehu, Tamene Taye, Oduor, Francis, Boedecker, Julia, Aluso, Lilian, Ortiz-Ulloa, Johana, Meenakshi, J.V., Castro, Michelle, Grosso, Giuseppe, Waskiewicz, Anna, Khan, Umber S., Thanopoulou, Anastasia, Malekzadeh, Reza, Calleja, Neville, Ocke, Marga, Etemad, Zohreh, Nsour, Mohannad Al, Waswa, Lydiah M., Nurk, Eha, Arsenault, Joanne, Lopez-Jaramillo, Patricio, Sibai, Abla Mehio, Damasceno, Albertino, Arambepola, Carukshi, Lopes, Carla, Severo, Milton, Lunet, Nuno, Torres, Duarte, Tapanainen, Heli, Lindstrom, Jaana, Virtanen, Suvi, Palacios, Cristina, Roos, Eva, Agdeppa, Imelda Angeles, Desnacido, Josie, Capanzana, Mario, Misra, Anoop, Khouw, Ilse, Ng, Shu Wen, Delgado, Edna Gamboa, Caballero, Mauricio, Otero, Johanna, Lee, Hae Jeung, Koksal, Eda, Guessous, Idris, Lachat, Carl, De Henauw, Stefaan, Rahbar, Ali Reza, Tedstone, Alison, Naska, Androniki, Mathee, Angie, Ling, Annie, Tedla, Bemnet, Hopping, Beth, Ginnela, Brahmam, Leclercq, Catherine, Duante, Charmaine, Haerpfer, Christian, Hotz, Christine, Pitsavos, Christos, Rehm, Colin, van Oosterhout, Coline, Cerdena, Corazon, Bradshaw, Debbie, Trichopoulos, Dimitrios, Gauci, Dorothy, Fernando, Dulitha, Sygnowska, Elzbieta, Vartiainen, Erkki, Farzadfar, Farshad, Zajkas, Gabor, Swan, Gillian, Ma, Guansheng, Pekcan, Gulden, Ibrahim, Hajah Masni, Sinkko, Harri, Barbieri, Helene Enghardt, Sioen, Isabelle, Myhre, Jannicke, Gaspoz, Jean Michel, Odenkirk, Jillian, Bundhamcharoen, Kanitta, Nelis, Keiu, Zarina, Khairul, Biro, Lajos, Johansson, Lars, Steingrimsdottir, Laufey, Riley, Leanne, Yap, Mabel, Inoue, Manami, Szabo, Maria, Ovaskainen, Marja Leena, Lee, Meei Shyuan, Chan, Mei Fen, Cowan, Melanie, Kandiah, Mirnalini, Kally, Ola, Jonsdottir, Olof, Palmer, Pam, Vollenweider, Peter, Orfanos, Philippos, Asciak, Renzo, Templeton, Robert, Don, Rokiah, Yaakub, Roseyati, Selamat, Rusidah, Yusof, Safiah, Al-Zenki, Sameer, Hung, Shu Yi, Beer-Borst, Sigrid, Wu, Suh, Lukito, Widjaja, Hadden, Wilbur, Becker, Wulf, Cao, Xia, Ma, Yi, Lai, Yuen, Hjdaud, Zaiton, Ali, Jennifer, Gravel, Ron, Tao, Tina, Veerman, Jacob Lennert, Chiplonkar, Shashi, Arici, Mustafa, Ngoan, Le Tran, Panagiotakos, Demosthenes, Li, Yanping, Trichopoulou, Antonia, Barengo, Noel, Khadilkar, Anuradha, Ekbote, Veena, Mohammadifard, Noushin, Kovalskys, Irina, Laxmaiah, Avula, Rachakulla, Harikumar, Rajkumar, Hemalatha, Meshram, Indrapal, Avula, Laxmaiah, Arlappa, Nimmathota, Hemalatha, Rajkumar, Iacoviello, Licia, Bonaccio, Marialaura, Costanzo, Simona, Martin-Prevel, Yves, Castetbon, Katia, Jitnarin, Nattinee, Hsieh, Yao Te, Olivares, Sonia, Tejeda, Gabriela, Hadziomeragic, Aida, de Moura Souza, Amanda, Pan, Wen Harn, Huybrechts, Inge, de Brauw, Alan, Moursi, Mourad, Maghroun, Maryam, Zeba, Augustin Nawidimbasba, Sarrafzadegan, Nizal, Keinan-Boker, Lital, Goldsmith, Rebecca, Shimony, Tal, Jordan, Irmgard, Mastiholi, Shivanand C., Mwangi, Moses, Kombe, Yeri, Bukania, Zipporah, Alissa, Eman, Al-Daghri, Nasser, Sabico, Shaun, Gulliford, Martin, Diba, Tshilenge S., Oh, Kyungwon, Kweon, Sanghui, Park, Sihyun, Cho, Yoonsu, Al-Hooti, Suad, Luangphaxay, Chanthaly, Douangvichit, Daovieng, Siengsounthone, Latsamy, Marques-Vidal, Pedro, Rybak, Constance, Luke, Amy, Piaseu, Noppawan, Rojroongwasinkul, Nipa, Sundram, Kalyana, Koster, Jeremy, Baykova, Donka, Abedi, Parvin, Sandjaja, Sandjaja, Fadzil, Fariza, Bukhary, Noriklil Bukhary Ismail, Bovet, Pascal, Chen, Yu, Sawada, Norie, Tsugane, Shoichiro, Rangelova, Lalka, Petrova, Stefka, Duleva, Vesselka, Lindroos, Anna Karin, Sipinen, Jessica Petrelius, Moraeus, Lotta, Bergman, Per, Siamusantu, Ward, Szponar, Lucjan, Chang, Hsing Yi, Sekiyama, Makiko, Le Nguyen Bao, Khanh, Nagalla, Balakrishna, Polasa, Kalpagam, Boindala, Sesikeran, El Ati, Jalila, Silva, Ivonne Ramirez, Dommarco, Juan Rivera, Barquera, Simon, Rodríguez-Ramírez, Sonia, Illescas-Zarate, Daniel, Sanchez-Romero, Luz Maria, Ikeda, Nayu, Zaghloul, Sahar, Houshiar-rad, Anahita, Mohammadi-Nasrabadi, Fatemeh, Abdollahi, Morteza, Chuah, Khun Aik, Mahdy, Zaleha Abdullah, Eldridge, Alison, Ding, Eric L., Kruger, Herculina, Henjum, Sigrun, Fernandez, Anne, Suarez-Ortegon, Milton Fabian, Al-Hamad, Nawal, Janská, Veronika, Tayyem, Reema, Mirmiran, Parvin, Kelishadi, Roya, Lemming, Eva Warensjo, Richter, Almut, Mensink, Gert, Wieler, Lothar, Hoffman, Daniel, Salanave, Benoit, Il Kim, Cho, Kuriyan-Raj, Rebecca, Swaminathan, Sumathi, Garriguet, Didier, Dastgiri, Saeed, Vaask, Sirje, Karupaiah, Tilakavati, Zohoori, Fatemeh Vida, Esteghamati, Alireza, Hashemian, Maryam, Noshad, Sina, Mwaniki, Elizabeth, Yakes-Jimenez, Elizabeth, Chileshe, Justin, Mwanza, Sydney, Marques, Lydia Lera, Preston, Alan Martin, Aguero, Samuel Duran, Oleas, Mariana, Posada, Luz, Ochoa, Angelica, Shamsuddin, Khadijah, Shariff, Zalilah Mohd, Jan Bin Jan Mohamed, Hamid, Manan, Wan, Nicolau, Anca, Tudorie, Cornelia, Poh, Bee Koon, Abbott, Pamela, Pakseresht, Mohammadreza, Sharma, Sangita, Strand, Tor, Alexy, Ute, Nöthlings, Ute, Carmikle, Jan, Brown, Ken, Waidyatilaka, Indu, Lanerolle, Pulani, Jayawardena, Ranil, Long, Julie M., Hambidge, Michael, Krebs, Nancy F., Haque, Aminul, Keding, Gudrun B., Korkalo, Liisa, Erkkola, Maijaliisa, Freese, Riitta, Eleraky, Laila, Stuetz, Wolfgang, Thorsdottir, Inga, Gunnarsdottir, Ingibjorg, Serra-Majem, Lluis, Moy, Foong Ming, Anderson, Simon, Jeewon, Rajesh, Zugravu, Corina Aurelia, Adair, Linda, Skeaff, Sheila, Marchioni, Dirce, Fisberg, Regina, Henry, Carol, Ersino, Getahun, Zello, Gordon, Meyer, Alexa, Elmadfa, Ibrahim, Mitchell, Claudette, Balfour, David, Geleijnse, Johanna M., Manary, Mark, El-kour, Tatyana, Nikiema, Laetitia, Mirzaei, Masoud, Hakeem, Rubina, Lara-Castor, Laura, Micha, Renata, Cudhea, Frederick, Miller, Victoria, Shi, Peilin, Zhang, Jianyi, Sharib, Julia R., Erndt-Marino, Josh, Cash, Sean B., Mozaffarian, Dariush, Bas, Murat, Ali, Jemal Haidar, Abumweis, Suhad, Krishnan, Anand, Misra, Puneet, Hwalla, Nahla Chawkat, Janakiram, Chandrashekar, Liputo, Nur Indrawaty, Musaiger, Abdulrahman, Pourfarzi, Farhad, Alam, Iftikhar, DeRidder, Karin, Termote, Celine, Memon, Anjum, Turrini, Aida, Lupotto, Elisabetta, Piccinelli, Raffaela, Sette, Stefania, Anzid, Karim, Vossenaar, Marieke, Mazumdar, Paramita, Rached, Ingrid, Rovirosa, Alicia, Zapata, María Elisa, Asayehu, Tamene Taye, Oduor, Francis, Boedecker, Julia, Aluso, Lilian, Ortiz-Ulloa, Johana, Meenakshi, J.V., Castro, Michelle, Grosso, Giuseppe, Waskiewicz, Anna, Khan, Umber S., Thanopoulou, Anastasia, Malekzadeh, Reza, Calleja, Neville, Ocke, Marga, Etemad, Zohreh, Nsour, Mohannad Al, Waswa, Lydiah M., Nurk, Eha, Arsenault, Joanne, Lopez-Jaramillo, Patricio, Sibai, Abla Mehio, Damasceno, Albertino, Arambepola, Carukshi, Lopes, Carla, Severo, Milton, Lunet, Nuno, Torres, Duarte, Tapanainen, Heli, Lindstrom, Jaana, Virtanen, Suvi, Palacios, Cristina, Roos, Eva, Agdeppa, Imelda Angeles, Desnacido, Josie, Capanzana, Mario, Misra, Anoop, Khouw, Ilse, Ng, Shu Wen, Delgado, Edna Gamboa, Caballero, Mauricio, Otero, Johanna, Lee, Hae Jeung, Koksal, Eda, Guessous, Idris, Lachat, Carl, De Henauw, Stefaan, Rahbar, Ali Reza, Tedstone, Alison, Naska, Androniki, Mathee, Angie, Ling, Annie, Tedla, Bemnet, Hopping, Beth, Ginnela, Brahmam, Leclercq, Catherine, Duante, Charmaine, Haerpfer, Christian, Hotz, Christine, Pitsavos, Christos, Rehm, Colin, van Oosterhout, Coline, Cerdena, Corazon, Bradshaw, Debbie, Trichopoulos, Dimitrios, Gauci, Dorothy, Fernando, Dulitha, Sygnowska, Elzbieta, Vartiainen, Erkki, Farzadfar, Farshad, Zajkas, Gabor, Swan, Gillian, Ma, Guansheng, Pekcan, Gulden, Ibrahim, Hajah Masni, Sinkko, Harri, Barbieri, Helene Enghardt, Sioen, Isabelle, Myhre, Jannicke, Gaspoz, Jean Michel, Odenkirk, Jillian, Bundhamcharoen, Kanitta, Nelis, Keiu, Zarina, Khairul, Biro, Lajos, Johansson, Lars, Steingrimsdottir, Laufey, Riley, Leanne, Yap, Mabel, Inoue, Manami, Szabo, Maria, Ovaskainen, Marja Leena, Lee, Meei Shyuan, Chan, Mei Fen, Cowan, Melanie, Kandiah, Mirnalini, Kally, Ola, Jonsdottir, Olof, Palmer, Pam, Vollenweider, Peter, Orfanos, Philippos, Asciak, Renzo, Templeton, Robert, Don, Rokiah, Yaakub, Roseyati, Selamat, Rusidah, Yusof, Safiah, Al-Zenki, Sameer, Hung, Shu Yi, Beer-Borst, Sigrid, Wu, Suh, Lukito, Widjaja, Hadden, Wilbur, Becker, Wulf, Cao, Xia, Ma, Yi, Lai, Yuen, Hjdaud, Zaiton, Ali, Jennifer, Gravel, Ron, Tao, Tina, Veerman, Jacob Lennert, Chiplonkar, Shashi, Arici, Mustafa, Ngoan, Le Tran, Panagiotakos, Demosthenes, Li, Yanping, Trichopoulou, Antonia, Barengo, Noel, Khadilkar, Anuradha, Ekbote, Veena, Mohammadifard, Noushin, Kovalskys, Irina, Laxmaiah, Avula, Rachakulla, Harikumar, Rajkumar, Hemalatha, Meshram, Indrapal, Avula, Laxmaiah, Arlappa, Nimmathota, Hemalatha, Rajkumar, Iacoviello, Licia, Bonaccio, Marialaura, Costanzo, Simona, Martin-Prevel, Yves, Castetbon, Katia, Jitnarin, Nattinee, Hsieh, Yao Te, Olivares, Sonia, Tejeda, Gabriela, Hadziomeragic, Aida, de Moura Souza, Amanda, Pan, Wen Harn, Huybrechts, Inge, de Brauw, Alan, Moursi, Mourad, Maghroun, Maryam, Zeba, Augustin Nawidimbasba, Sarrafzadegan, Nizal, Keinan-Boker, Lital, Goldsmith, Rebecca, Shimony, Tal, Jordan, Irmgard, Mastiholi, Shivanand C., Mwangi, Moses, Kombe, Yeri, Bukania, Zipporah, Alissa, Eman, Al-Daghri, Nasser, Sabico, Shaun, Gulliford, Martin, Diba, Tshilenge S., Oh, Kyungwon, Kweon, Sanghui, Park, Sihyun, Cho, Yoonsu, Al-Hooti, Suad, Luangphaxay, Chanthaly, Douangvichit, Daovieng, Siengsounthone, Latsamy, Marques-Vidal, Pedro, Rybak, Constance, Luke, Amy, Piaseu, Noppawan, Rojroongwasinkul, Nipa, Sundram, Kalyana, Koster, Jeremy, Baykova, Donka, Abedi, Parvin, Sandjaja, Sandjaja, Fadzil, Fariza, Bukhary, Noriklil Bukhary Ismail, Bovet, Pascal, Chen, Yu, Sawada, Norie, Tsugane, Shoichiro, Rangelova, Lalka, Petrova, Stefka, Duleva, Vesselka, Lindroos, Anna Karin, Sipinen, Jessica Petrelius, Moraeus, Lotta, Bergman, Per, Siamusantu, Ward, Szponar, Lucjan, Chang, Hsing Yi, Sekiyama, Makiko, Le Nguyen Bao, Khanh, Nagalla, Balakrishna, Polasa, Kalpagam, Boindala, Sesikeran, El Ati, Jalila, Silva, Ivonne Ramirez, Dommarco, Juan Rivera, Barquera, Simon, Rodríguez-Ramírez, Sonia, Illescas-Zarate, Daniel, Sanchez-Romero, Luz Maria, Ikeda, Nayu, Zaghloul, Sahar, Houshiar-rad, Anahita, Mohammadi-Nasrabadi, Fatemeh, Abdollahi, Morteza, Chuah, Khun Aik, Mahdy, Zaleha Abdullah, Eldridge, Alison, Ding, Eric L., Kruger, Herculina, Henjum, Sigrun, Fernandez, Anne, Suarez-Ortegon, Milton Fabian, Al-Hamad, Nawal, Janská, Veronika, Tayyem, Reema, Mirmiran, Parvin, Kelishadi, Roya, Lemming, Eva Warensjo, Richter, Almut, Mensink, Gert, Wieler, Lothar, Hoffman, Daniel, Salanave, Benoit, Il Kim, Cho, Kuriyan-Raj, Rebecca, Swaminathan, Sumathi, Garriguet, Didier, Dastgiri, Saeed, Vaask, Sirje, Karupaiah, Tilakavati, Zohoori, Fatemeh Vida, Esteghamati, Alireza, Hashemian, Maryam, Noshad, Sina, Mwaniki, Elizabeth, Yakes-Jimenez, Elizabeth, Chileshe, Justin, Mwanza, Sydney, Marques, Lydia Lera, Preston, Alan Martin, Aguero, Samuel Duran, Oleas, Mariana, Posada, Luz, Ochoa, Angelica, Shamsuddin, Khadijah, Shariff, Zalilah Mohd, Jan Bin Jan Mohamed, Hamid, Manan, Wan, Nicolau, Anca, Tudorie, Cornelia, Poh, Bee Koon, Abbott, Pamela, Pakseresht, Mohammadreza, Sharma, Sangita, Strand, Tor, Alexy, Ute, Nöthlings, Ute, Carmikle, Jan, Brown, Ken, Waidyatilaka, Indu, Lanerolle, Pulani, Jayawardena, Ranil, Long, Julie M., Hambidge, Michael, Krebs, Nancy F., Haque, Aminul, Keding, Gudrun B., Korkalo, Liisa, Erkkola, Maijaliisa, Freese, Riitta, Eleraky, Laila, Stuetz, Wolfgang, Thorsdottir, Inga, Gunnarsdottir, Ingibjorg, Serra-Majem, Lluis, Moy, Foong Ming, Anderson, Simon, Jeewon, Rajesh, Zugravu, Corina Aurelia, Adair, Linda, Skeaff, Sheila, Marchioni, Dirce, Fisberg, Regina, Henry, Carol, Ersino, Getahun, Zello, Gordon, Meyer, Alexa, Elmadfa, Ibrahim, Mitchell, Claudette, Balfour, David, Geleijnse, Johanna M., Manary, Mark, El-kour, Tatyana, Nikiema, Laetitia, Mirzaei, Masoud, and Hakeem, Rubina

Abstract

Sugar-sweetened beverages (SSBs) are associated with cardiometabolic diseases and social inequities. For most nations, recent estimates and trends of intake are not available; nor variation by education or urbanicity. We investigated SSB intakes among adults between 1990 and 2018 in 185 countries, stratified subnationally by age, sex, education, and rural/urban residence, using data from the Global Dietary Database. In 2018, mean global SSB intake was 2.7 (8 oz = 248 grams) servings/week (95% UI 2.5-2.9) (range: 0.7 (0.5-1.1) in South Asia to 7.8 (7.1-8.6) in Latin America/Caribbean). Intakes were higher in male vs. female, younger vs. older, more vs. less educated, and urban vs. rural adults. Variations by education and urbanicity were largest in Sub-Saharan Africa. Between 1990 and 2018, SSB intakes increased by +0.37 (+0.29, +0.47), with the largest increase in Sub-Saharan Africa. These findings inform intervention, surveillance, and policy actions worldwide, highlighting the growing problem of SSBs for public health in Sub-Saharan Africa.

Published
2023

21. Mortality trends and differentials in South Africa from 1997 to 2012: second National Burden of Disease Study

Author

Pillay-van Wyk, Victoria, Msemburi, William, Laubscher, Ria, Dorrington, Rob E, Groenewald, Pam, Glass, Tracy, Nojilana, Beatrice, Joubert, Jané D, Matzopoulos, Richard, Prinsloo, Megan, Nannan, Nadine, Gwebushe, Nomonde, Vos, Theo, Somdyala, Nontuthuzelo, Sithole, Nomfuneko, Neethling, Ian, Nicol, Edward, Rossouw, Anastasia, and Bradshaw, Debbie

Published
2016
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22. Kaposi sarcoma‐associated herpesvirus, HIV ‐1 and Kaposi sarcoma risk in black South Africans diagnosed with cancer during antiretroviral treatment rollout

Author

Motlhale, Melitah, primary, Muchengeti, Mazvita, additional, Bradshaw, Debbie, additional, Chen, Wenlong Carl, additional, Singini, Mwiza Gideon, additional, de Villiers, Chantal Babb, additional, Lewis, Cathryn M., additional, Bender, Noemi, additional, Mathew, Christopher G., additional, Newton, Robert, additional, Waterboer, Tim, additional, Singh, Elvira, additional, and Sitas, Freddy, additional

Published
2023
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23. Can verbal autopsies be used on a national scale? Key findings and lessons from the South Africa National Cause-of-Death Validation Study.

Author

Maqungo, Monique, primary, Nannan, Nadine, additional, Nojilana, Beatrice, additional, Nichols, Erin, additional, Morof, Diane, additional, Cheyip, Mireille, additional, Rao, Chalapati, additional, Lombard, Carl, additional, Price, Jessica, additional, Kahn, Kathleen, additional, Martin, Lorna J, additional, Bezuidenhout, Francois, additional, Laubscher, Ria, additional, Kabudula, Chodziwadziwa, additional, Glass, Tracy, additional, Awotiwon, Oluwatoyin, additional, Zinyakatira, Nesbert, additional, Funani, Noluntu, additional, Joubert, Jané, additional, Bradshaw, Debbie, additional, and Groenewald, Pamela, additional

Published
2022
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24. Children’s and adolescents’ rising animal-source food intakes in 1990–2018 were impacted by age, region, parental education and urbanicity

Author

Miller, Victoria, Webb, Patrick, Cudhea, Frederick, Zhang, Jianyi, Reedy, Julia, Shi, Peilin, Erndt-Marino, Josh, Coates, Jennifer, Micha, Renata, Mozaffarian, Dariush, Bas, Murat, Ali, Jemal Haidar, Abumweis, Suhad, Krishnan, Anand, Misra, Puneet, Hwalla, Nahla Chawkat, Janakiram, Chandrashekar, Liputo, Nur Indrawaty, Musaiger, Abdulrahman, Pourfarzi, Farhad, Alam, Iftikhar, DeRidder, Karin, Termote, Celine, Memon, Anjum, Turrini, Aida, Lupotto, Elisabetta, Piccinelli, Raffaela, Sette, Stefania, Anzid, Karim, Vossenaar, Marieke, Mazumdar, Paramita, Rached, Ingrid, Rovirosa, Alicia, Zapata, María Elisa, Asayehu, Tamene Taye, Oduor, Francis, Boedecker, Julia, Aluso, Lilian, Ortiz-Ulloa, Johana, Meenakshi, J.V., Castro, Michelle, Grosso, Giuseppe, Waskiewicz, Anna, Khan, Umber S., Thanopoulou, Anastasia, Malekzadeh, Reza, Calleja, Neville, Ocke, Marga, Etemad, Zohreh, Nsour, Mohannad Al, Waswa, Lydiah M., Nurk, Eha, Arsenault, Joanne, Lopez-Jaramillo, Patricio, Sibai, Abla Mehio, Damasceno, Albertino, Arambepola, Carukshi, Lopes, Carla, Severo, Milton, Lunet, Nuno, Torres, Duarte, Tapanainen, Heli, Lindstrom, Jaana, Virtanen, Suvi, Palacios, Cristina, Roos, Eva, Agdeppa, Imelda Angeles, Desnacido, Josie, Capanzana, Mario, Misra, Anoop, Khouw, Ilse, Ng, Swee Ai, Delgado, Edna Gamboa, Caballero, Mauricio, Otero, Johanna, Lee, Hae-Jeung, Koksal, Eda, Guessous, Idris, Lachat, Carl, De Henauw, Stefaan, Rahbar, Ali Reza, Tedstone, Alison, Naska, Androniki, Mathee, Angie, Ling, Annie, Tedla, Bemnet, Hopping, Beth, Ginnela, Brahmam, Leclercq, Catherine, Duante, Charmaine, Haerpfer, Christian, Hotz, Christine, Pitsavos, Christos, Rehm, Colin, van Oosterhout, Coline, Cerdena, Corazon, Bradshaw, Debbie, Trichopoulos, Dimitrios, Gauci, Dorothy, Fernando, Dulitha, Sygnowska, Elzbieta, Vartiainen, Erkki, Farzadfar, Farshad, Zajkas, Gabor, Swan, Gillian, Ma, Guansheng, Pekcan, Gulden, Ibrahim, Hajah Masni, Sinkko, Harri, Barbieri, Helene Enghardt, Sioen, Isabelle, Myhre, Jannicke, Gaspoz, Jean-Michel, Odenkirk, Jillian, Bundhamcharoen, Kanitta, Nelis, Keiu, Zarina, Khairul, Biro, Lajos, Johansson, Lars, Steingrimsdottir, Laufey, Riley, Leanne, Yap, Mabel, Inoue, Manami, Szabo, Maria, Ovaskainen, Marja-Leena, Lee, Meei-Shyuan, Chan, Mei Fen, Cowan, Melanie, Kandiah, Mirnalini, Kally, Ola, Jonsdottir, Olof, Palmer, Pam, Vollenweider, Peter, Orfanos, Philippos, Asciak, Renzo, Templeton, Robert, Don, Rokiah, Yaakub, Roseyati, Selamat, Rusidah, Yusof, Safiah, Al-Zenki, Sameer, Hung, Shu-Yi, Beer-Borst, Sigrid, Wu, Suh, Lukito, Widjaja, Hadden, Wilbur, Becker, Wulf, Cao, Xia, Ma, Yi, Lai, Yuen, Hjdaud, Zaiton, Ali, Jennifer, Gravel, Ron, Tao, Tina, Veerman, Jacob Lennert, Chiplonkar, Shashi, Arici, Mustafa, Ngoan, Le Tran, Panagiotakos, Demosthenes, Li, Yanping, Trichopoulou, Antonia, Barengo, Noel, Khadilkar, Anuradha, Ekbote, Veena, Mohammadifard, Noushin, Kovalskys, Irina, Laxmaiah, Avula, Rachakulla, Harikumar, Rajkumar, Hemalatha, Meshram, Indrapal, Avula, Laxmaiah, Arlappa, Nimmathota, Hemalatha, Rajkumar, lacoviello, Licia, Bonaccio, Marialaura, Costanzo, Simona, Martin-Prevel, Yves, Castetbon, Katia, Jitnarin, Nattinee, Hsieh, Yao-Te, Olivares, Sonia, Tejeda, Gabriela, Hadziomeragic, Aida, de Moura Souza, Amanda, Pan, Wen-Harn, Huybrechts, Inge, de Brauw, Alan, Moursi, Mourad, Maghroun, Maryam, Zeba, Augustin Nawidimbasba, Sarrafzadegan, Nizal, Keinan-Boker, Lital, Goldsmith, Rebecca, Shimony, Tal, Jordan, Irmgard, Mastiholi, Shivanand C., Mwangi, Moses, Kombe, Yeri, Bukania, Zipporah, Alissa, Eman, Al-Daghri, Nasser, Sabico, Shaun, Gulliford, Martin, Diba, Tshilenge S., Oh, Kyungwon, Kweon, Sanghui, Park, Sihyun, Cho, Yoonsu, Al-Hooti, Suad, Luangphaxay, Chanthaly, Douangvichit, Daovieng, Siengsounthone, Latsamy, Marques-Vidal, Pedro, Rybak, Constance, Luke, Amy, Piaseu, Noppawan, Rojroongwasinkul, Nipa, Sundram, Kalyana, Baykova, Donka, Abedi, Parvin, Sandjaja, Sandjaja, Fadzil, Fariza, Bukhary, Noriklil Bukhary Ismail, Bovet, Pascal, Chen, Yu, Sawada, Norie, Tsugane, Shoichiro, Rangelova, Lalka, Petrova, Stefka, Duleva, Vesselka, Lindroos, Anna Karin, Sipinen, Jessica Petrelius, Moraeus, Lotta, Bergman, Per, Siamusantu, Ward, Szponar, Lucjan, Chang, Hsing-Yi, Sekiyama, Makiko, Le Nguyen Bao, Khanh, Nagalla, Balakrishna, Polasa, Kalpagam, Boindala, Sesikeran, El Ati, Jalila, Silva, Ivonne Ramirez, Dommarco, Juan Rivera, Barquera, Simon, Ramírez, Sonia Rodríguez, Illescas-Zarate, Daniel, Sanchez-Romero, Luz Maria, Ikeda, Nayu, Zaghloul, Sahar, Houshiar-rad, Anahita, Mohammadi-Nasrabadi, Fatemeh, Abdollahi, Morteza, Chuah, Khun-Aik, Mahdy, Zaleha Abdullah, Eldridge, Alison, Ding, Eric L., Kruger, Herculina, Henjum, Sigrun, Fernandez, Anne, Suarez-Ortegon, Milton Fabian, Hamad, Nawal Al, Janská, Veronika, Tayyem, Reema, Mirmiran, Parvin, Kelishadi, Roya, Lemming, Eva Warensjo, Richter, Almut, Mensink, Gert, Wieler, Lothar, Hoffman, Daniel, Salanave, Benoit, Kim, Cho-il, Kuriyan-Raj, Rebecca, Swaminathan, Sumathi, Garriguet, Didier, Dastgiri, Saeed, Vaask, Sirje, Karupaiah, Tilakavati, Zohoori, Fatemeh Vida, Esteghamati, Alireza, Hashemian, Maryam, Noshad, Sina, Mwaniki, Elizabeth, Yakes-Jimenez, Elizabeth, Chileshe, Justin, Mwanza, Sydney, Marques, Lydia Lera, Preston, Alan Martin, Aguero, Samuel Duran, Oleas, Mariana, Posada, Luz, Ochoa, Angelica, Shamsuddin, Khadijah, Shariff, Zalilah Mohd, Jan Bin Jan Mohamed, Hamid, Manan, Wan, Nicolau, Anca, Tudorie, Cornelia, Poh, Bee Koon, Abbott, Pamela, Pakseresht, Mohammadreza, Sharma, Sangita, Strand, Tor Arne, Alexy, Ute, Nöthlings, Ute, Carmikle, Jan, Brown, Ken, Koster, Jeremy, Waidyatilaka, Indu, Lanerolle, Pulani, Jayawardena, Ranil, Long, Julie M., Hambidge, K. Michael, Krebs, Nancy F., Haque, Aminul, Keding, Gudrun B., Korkalo, Liisa, Erkkola, Maijaliisa, Freese, Riitta, Eleraky, Laila, Stuetz, Wolfgang, Thorsdottir, Inga, Gunnarsdottir, Ingibjorg, Serra-Majem, Lluis, Moy, Foong Ming, Anderson, Simon, Jeewon, Rajesh, Zugravu, Corina Aurelia, Adair, Linda, Ng, Shu Wen, Skeaff, Sheila, Marchioni, Dirce, Fisberg, Regina, Henry, Carol, Ersino, Getahun, Zello, Gordon, Meyer, Alexa, Elmadfa, Ibrahim, Mitchell, Claudette, Balfour, David, Geleijnse, Johanna M., Manary, Mark, El-kour, Tatyana, Nikiema, Laetitia, Mirzaei, Masoud, and Hakeem, Rubina

Abstract

Animal-source foods (ASF) provide nutrition for children and adolescents’ physical and cognitive development. Here, we use data from the Global Dietary Database and Bayesian hierarchical models to quantify global, regional and national ASF intakes between 1990 and 2018 by age group across 185 countries, representing 93% of the world’s child population. Mean ASF intake was 1.9 servings per day, representing 16% of children consuming at least three daily servings. Intake was similar between boys and girls, but higher among urban children with educated parents. Consumption varied by age from 0.6 at

Published
2023

25. Burden of Disease Review Manager for Systematic Review of Observational Studies: Technical Report and User Guide| Version 2

Author

Pillay-vanWyk, Victoria, Roomaney, Rifqah, Awotiwon, Oluwatoyin, Turawa, Eunice, D. Nglazi, Mweete, Ebrahim, Abdul-Hadee, Glass, Tracy, and Bradshaw, Debbie

Abstract

The Burden of Disease Research Unit (BODRU) of the South African Medical Research Council has developed a standardised risk-of-bias tool that can be used for cross-sectional (including population-based surveys) studies, case-control studies, cohort studies and surveillance. A risk-of-bias score (0-20) can be obtained based on a set of defined criteria to assess the external and internal validity of a study. This tool can be applied to assess the risk-of-bias of observational studies and guide the decision on whether to use or disregard the epidemiological parameters from that particular study. The risk-of-bias-score can also guide statisticians on the size of the weight (based on the quality) that can be applied to estimates from various studies pooled in a meta-analysis. A web-based system, the Burden of Disease Review Manager (BODRevMan), has been developed to manage the systematic review process, including the risk-of-bias assessment and summary of data extracted from articles/studies.

Published
2023
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26. Incident type 2 diabetes attributable to suboptimal diet in 184 countries

Author

O’Hearn, Meghan, Lara-Castor, Laura, Cudhea, Frederick, Miller, Victoria, Reedy, Julia, Shi, Peilin, Zhang, Jianyi, Wong, John B., Economos, Christina D., Micha, Renata, Mozaffarian, Dariush, Bas, Murat, Ali, Jemal Haidar, Abumweis, Suhad, Krishnan, Anand, Misra, Puneet, Hwalla, Nahla Chawkat, Janakiram, Chandrashekar, Liputo, Nur Indrawaty, Musaiger, Abdulrahman, Pourfarzi, Farhad, Alam, Iftikhar, DeRidder, Karin, Termote, Celine, Memon, Anjum, Turrini, Aida, Lupotto, Elisabetta, Piccinelli, Raffaela, Sette, Stefania, Anzid, Karim, Vossenaar, Marieke, Mazumdar, Paramita, Rached, Ingrid, Rovirosa, Alicia, Zapata, María Elisa, Asayehu, Tamene Taye, Oduor, Francis, Boedecker, Julia, Aluso, Lilian, Ortiz-Ulloa, Johana, Meenakshi, J.V., Castro, Michelle, Grosso, Giuseppe, Waskiewicz, Anna, Khan, Umber S., Thanopoulou, Anastasia, Malekzadeh, Reza, Calleja, Neville, Ocke, Marga, Etemad, Zohreh, Nsour, Mohannad Al, Waswa, Lydiah M., Nurk, Eha, Arsenault, Joanne, Lopez-Jaramillo, Patricio, Sibai, Abla Mehio, Damasceno, Albertino, Arambepola, Carukshi, Lopes, Carla, Severo, Milton, Lunet, Nuno, Torres, Duarte, Tapanainen, Heli, Lindstrom, Jaana, Virtanen, Suvi, Palacios, Cristina, Roos, Eva, Agdeppa, Imelda Angeles, Desnacido, Josie, Capanzana, Mario, Misra, Anoop, Khouw, Ilse, Ng, Swee Ai, Delgado, Edna Gamboa, Caballero, Mauricio, Otero, Johanna, Lee, Hae-Jeung, Koksal, Eda, Guessous, Idris, Lachat, Carl, De Henauw, Stefaan, Rahbar, Ali Reza, Tedstone, Alison, Naska, Androniki, Mathee, Angie, Ling, Annie, Tedla, Bemnet, Hopping, Beth, Ginnela, Brahmam, Leclercq, Catherine, Duante, Charmaine, Haerpfer, Christian, Hotz, Christine, Pitsavos, Christos, Rehm, Colin, van Oosterhout, Coline, Cerdena, Corazon, Bradshaw, Debbie, Trichopoulos, Dimitrios, Gauci, Dorothy, Fernando, Dulitha, Sygnowska, Elzbieta, Vartiainen, Erkki, Farzadfar, Farshad, Zajkas, Gabor, Swan, Gillian, Ma, Guansheng, Pekcan, Gulden, Ibrahim, Hajah Masni, Sinkko, Harri, Barbieri, Helene Enghardt, Sioen, Isabelle, Myhre, Jannicke, Gaspoz, Jean-Michel, Odenkirk, Jillian, Bundhamcharoen, Kanitta, Nelis, Keiu, Zarina, Khairul, Biro, Lajos, Johansson, Lars, Steingrimsdottir, Laufey, Riley, Leanne, Yap, Mabel, Inoue, Manami, Szabo, Maria, Ovaskainen, Marja-Leena, Lee, Meei-Shyuan, Chan, Mei Fen, Cowan, Melanie, Kandiah, Mirnalini, Kally, Ola, Jonsdottir, Olof, Palmer, Pam, Vollenweider, Peter, Orfanos, Philippos, Asciak, Renzo, Templeton, Robert, Don, Rokiah, Yaakub, Roseyati, Selamat, Rusidah, Yusof, Safiah, Al-Zenki, Sameer, Hung, Shu-Yi, Beer-Borst, Sigrid, Wu, Suh, Lukito, Widjaja, Hadden, Wilbur, Becker, Wulf, Cao, Xia, Ma, Yi, Lai, Yuen, Hjdaud, Zaiton, Ali, Jennifer, Gravel, Ron, Tao, Tina, Veerman, Jacob Lennert, Chiplonkar, Shashi, Arici, Mustafa, Ngoan, Le Tran, Panagiotakos, Demosthenes, Li, Yanping, Trichopoulou, Antonia, Barengo, Noel, Khadilkar, Anuradha, Ekbote, Veena, Mohammadifard, Noushin, Kovalskys, Irina, Laxmaiah, Avula, Rachakulla, Harikumar, Rajkumar, Hemalatha, Meshram, Indrapal, Avula, Laxmaiah, Arlappa, Nimmathota, Hemalatha, Rajkumar, lacoviello, Licia, Bonaccio, Marialaura, Costanzo, Simona, Martin-Prevel, Yves, Castetbon, Katia, Jitnarin, Nattinee, Hsieh, Yao-Te, Olivares, Sonia, Tejeda, Gabriela, Hadziomeragic, Aida, de Moura Souza, Amanda, Pan, Wen-Harn, Huybrechts, Inge, de Brauw, Alan, Moursi, Mourad, Maghroun, Maryam, Zeba, Augustin Nawidimbasba, Sarrafzadegan, Nizal, Keinan-Boker, Lital, Goldsmith, Rebecca, Shimony, Tal, Jordan, Irmgard, Mastiholi, Shivanand C., Mwangi, Moses, Kombe, Yeri, Bukania, Zipporah, Alissa, Eman, Al-Daghri, Nasser, Sabico, Shaun, Gulliford, Martin, Diba, Tshilenge S., Oh, Kyungwon, Kweon, Sanghui, Park, Sihyun, Cho, Yoonsu, Al-Hooti, Suad, Luangphaxay, Chanthaly, Douangvichit, Daovieng, Siengsounthone, Latsamy, Marques-Vidal, Pedro, Rybak, Constance, Luke, Amy, Piaseu, Noppawan, Rojroongwasinkul, Nipa, Sundram, Kalyana, Baykova, Donka, Abedi, Parvin, Sandjaja, Sandjaja, Fadzil, Fariza, Bukhary, Noriklil Bukhary Ismail, Bovet, Pascal, Chen, Yu, Sawada, Norie, Tsugane, Shoichiro, Rangelova, Lalka, Petrova, Stefka, Duleva, Vesselka, Lindroos, Anna Karin, Sipinen, Jessica Petrelius, Moraeus, Lotta, Bergman, Per, Siamusantu, Ward, Szponar, Lucjan, Chang, Hsing-Yi, Sekiyama, Makiko, Le Nguyen Bao, Khanh, Nagalla, Balakrishna, Polasa, Kalpagam, Boindala, Sesikeran, El Ati, Jalila, Silva, Ivonne Ramirez, Dommarco, Juan Rivera, Barquera, Simon, Rodríguez-Ramírez, Sonia, Illescas-Zarate, Daniel, Sanchez-Romero, Luz Maria, Ikeda, Nayu, Zaghloul, Sahar, Houshiar-rad, Anahita, Mohammadi-Nasrabadi, Fatemeh, Abdollahi, Morteza, Chuah, Khun-Aik, Mahdy, Zaleha Abdullah, Eldridge, Alison, Ding, Eric L., Kruger, Herculina, Henjum, Sigrun, Fernandez, Anne, Suarez-Ortegon, Milton Fabian, Al-Hamad, Nawal, Janská, Veronika, Tayyem, Reema, Mirmiran, Parvin, Kelishadi, Roya, Lemming, Eva Warensjo, Richter, Almut, Mensink, Gert, Wieler, Lothar, Hoffman, Daniel, Salanave, Benoit, Kim, Cho-il, Kuriyan-Raj, Rebecca, Swaminathan, Sumathi, Garriguet, Didier, Dastgiri, Saeed, Vaask, Sirje, Karupaiah, Tilakavati, Zohoori, Fatemeh Vida, Esteghamati, Alireza, Hashemian, Maryam, Noshad, Sina, Mwaniki, Elizabeth, Yakes-Jimenez, Elizabeth, Chileshe, Justin, Mwanza, Sydney, Marques, Lydia Lera, Preston, Alan Martin, Aguero, Samuel Duran, Oleas, Mariana, Posada, Luz, Ochoa, Angelica, Shamsuddin, Khadijah, Shariff, Zalilah Mohd, Jan Bin Jan Mohamed, Hamid, Manan, Wan, Nicolau, Anca, Tudorie, Cornelia, Poh, Bee Koon, Abbott, Pamela, Pakseresht, Mohammadreza, Sharma, Sangita, Strand, Tor Arne, Alexy, Ute, Nöthlings, Ute, Carmikle, Jan, Brown, Ken, Koster, Jeremy, Waidyatilaka, Indu, Lanerolle, Pulani, Jayawardena, Ranil, Long, Julie M., Hambidge, K. Michael, Krebs, Nancy F., Haque, Aminul, Keding, Gudrun B., Korkalo, Liisa, Erkkola, Maijaliisa, Freese, Riitta, Eleraky, Laila, Stuetz, Wolfgang, Thorsdottir, Inga, Gunnarsdottir, Ingibjorg, Serra-Majem, Lluis, Moy, Foong Ming, Anderson, Simon, Jeewon, Rajesh, Zugravu, Corina Aurelia, Adair, Linda, Ng, Shu Wen, Skeaff, Sheila, Marchioni, Dirce, Fisberg, Regina, Henry, Carol, Ersino, Getahun, Zello, Gordon, Meyer, Alexa, Elmadfa, Ibrahim, Mitchell, Claudette, Balfour, David, Geleijnse, Johanna M., Manary, Mark, El-kour, Tatyana, Nikiema, Laetitia, Mirzaei, Masoud, and Hakeem, Rubina

Abstract

The global burden of diet-attributable type 2 diabetes (T2D) is not well established. This risk assessment model estimated T2D incidence among adults attributable to direct and body weight-mediated effects of 11 dietary factors in 184 countries in 1990 and 2018. In 2018, suboptimal intake of these dietary factors was estimated to be attributable to 14.1 million (95% uncertainty interval (UI), 13.8–14.4 million) incident T2D cases, representing 70.3% (68.8–71.8%) of new cases globally. Largest T2D burdens were attributable to insufficient whole-grain intake (26.1% (25.0–27.1%)), excess refined rice and wheat intake (24.6% (22.3–27.2%)) and excess processed meat intake (20.3% (18.3–23.5%)). Across regions, highest proportional burdens were in central and eastern Europe and central Asia (85.6% (83.4–87.7%)) and Latin America and the Caribbean (81.8% (80.1–83.4%)); and lowest proportional burdens were in South Asia (55.4% (52.1–60.7%)). Proportions of diet-attributable T2D were generally larger in men than in women and were inversely correlated with age. Diet-attributable T2D was generally larger among urban versus rural residents and higher versus lower educated individuals, except in high-income countries, central and eastern Europe and central Asia, where burdens were larger in rural residents and in lower educated individuals. Compared with 1990, global diet-attributable T2D increased by 2.6 absolute percentage points (8.6 million more cases) in 2018, with variation in these trends by world region and dietary factor. These findings inform nutritional priorities and clinical and public health planning to improve dietary quality and reduce T2D globally. publishedVersion

Published
2023

28. Mixed-methods analysis of select issues reported in the 2016 World Health Organization verbal autopsy questionnaire

Author

Nichols, Erin, primary, Pettrone, Kristen, additional, Vickers, Brent, additional, Gebrehiwet, Hermon, additional, Surek-Clark, Clarissa, additional, Leitao, Jordana, additional, Amouzou, Agbessi, additional, Blau, Dianna M., additional, Bradshaw, Debbie, additional, Abdelilah, El Marnissi, additional, Groenewald, Pamela, additional, Munkombwe, Brian, additional, Mwango, Chomba, additional, Notzon, F. Sam, additional, Biko Odhiambo, Steve, additional, and Scanlon, Paul, additional

Published
2022
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29. Linkage to HIV Care and Early Retention in Care Rates in the Universal Test-and-Treat Era: A Population-based Prospective Study in KwaZulu-Natal, South Africa

Author

Nicol, Edward, primary, Basera, Wisdom, additional, Mukumbang, Ferdinand C, additional, Cheyip, Mireille, additional, Mthethwa, Simangele, additional, Lombard, Carl, additional, Jama, Ngcwalisa, additional, Pass, Desiree, additional, Laubscher, Ria, additional, and Bradshaw, Debbie, additional

Published
2022
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33. Usefulness of high‐risk HPV early oncoprotein (E6 and E7) serological markers in the detection of cervical cancer: A systematic review and meta‐analysis

Author

Singini, Mwiza Gideon, primary, Singh, Elvira, additional, Bradshaw, Debbie, additional, Ramaliba, Thendo, additional, Chen, Wenlong Carl, additional, Motlhale, Melitah, additional, Kamiza, Abram Bunya, additional, Babb de Villiers, Chantal, additional, Muchengeti, Mazvita, additional, Mathew, Christopher G., additional, Newton, Robert, additional, Bender, Noemi, additional, Waterboer, Tim, additional, and Sitas, Freddy, additional

Published
2022
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34. Alcohol, violence and injury-induced mortality: Evidence from a modern-day prohibition

Author

Wissenschaftszentrum Berlin für Sozialforschung gGmbH, Barron, Kai, Parry, Charles D. H., Bradshaw, Debbie, Dorrington, Rob, Groenewald, Pam, Laubscher, Ria, Matzopoulos, Richard, Wissenschaftszentrum Berlin für Sozialforschung gGmbH, Barron, Kai, Parry, Charles D. H., Bradshaw, Debbie, Dorrington, Rob, Groenewald, Pam, Laubscher, Ria, and Matzopoulos, Richard

Abstract

This paper evaluates the impact of a sudden and unexpected nation-wide alcohol sales ban in South Africa. We find that this policy causally reduced injury-induced mortality in the country by at least 14% during the five weeks of the ban. We argue that this estimate constitutes a lower bound on the true impact of alcohol on injury-induced mortality. We also document a sharp drop in violent crimes, indicating a tight link between alcohol and aggressive behavior in society. Our results underscore the severe harm that alcohol can cause and point towards a role for policy measures that target the heaviest drinkers in society.

Published
2022

36. Injury-related mortality in South Africa: a retrospective descriptive study of postmortem investigations/Mortalite par traumatisme en Afrique du Sud: etude descriptive retrospective de rapports d'autopsies/Mortalidad ralarionada con los traumatismos on Sudafrica: un estudio retrospectivo y descriptivo de investigaciones post mortem

Author

Matzopoulos, Richard, Prinsloo, Megan, Pillay-van Wyk, Victoria, Gwebushe, Nomonde, Mathews, Shanaaz, Martin, Loma J., Laubscher, Ria, Abrahams, Naeemah, Msemburi, William, Lombard, Carl, and Bradshaw, Debbie

Subjects
Mortality -- South Africa -- Analysis, Murder -- Health aspects -- Analysis, Health, World Health Organization, South African Medical Research Council
Abstract

Objective To investigate injury-related mortality in South Africa using a nationally representative sample and compare the results with previous estimates. Methods We conducted a retrospective descriptive study of medico-legal postmortem investigation data from mortuaries using a multistage random sample, stratified by urban and non-urban areas and mortuary size. We calculated age-specific and age- standardized mortality rates for external causes of death. Findings Postmortem reports revealed 52493 Injury-related deaths in 2009 (95% confidence interval, CI: 46930-58057). Almost half (25499) were Intentionally inflicted. Age-standardized mortality rates per 100000 population vyere as follows: all injuries: 109.0 (95% CI: 97.1-121.0); homicide 38.4 (95% CI: 33.8-43.0; suicide 13.4 (95% CI: 11.6-15.2) and road-traffic injury 36.1 (95% CI: 30.9-41.3). Using postmortem reports, we found more than three times as many deaths from homicide and road-traffic injury than had been recorded by vital registration for this period. The homicide rate was similar to the estimate for South Africa from a global analysis, but road-traffic and suicide rates were almost fourfold higher. Conclusion This is the first nationally representative sample of injury-related mortality in South Africa. It provides more accurate estimates and cause-specific profiles that are not available from other sources. Objectif Enqueter sur la mortalite par traumatisme en Afrique du Sud a partir d'un echantlllon natlonalement representatlf et comparer les resultats avec les estimations anterieures. Methodes Nous avons realise une etude descriptive retrospective des donnees de rapports medico-legaux obtenus aupres de morgues, en utilisant une technique d'echantillonnage aleatoire a plusieurs degres, stratifie en fonction des criteres suivants: zone urbaine, zone non urbaine et taille de la morgue. Nous avons calcule les taux de mortalite par age et les taux de mortalite standardlses selon l'age, pour les differentes causes externes de deces. Resultats Les dossiers d'autopsie font etat de 52.493 deces par traumatisme en 2009 (intervalle de confiance de 95 %, IC: 46.930-58.057). Quasiment la moitle (25.499 deces) correspond a des blessures infligees intentionnellement. Taux de mortalite standardise selon l'age pour 100.000 personnes: Tous types de blessures: 109,0 (1C 95 %: 97,1-121,0); Homicides 38,4 (IC 95%: 33,8-43); Suicides 13,4 (IC 95%: 11,6-15,2); Blessures llees a des accidents de transport 36,1 (IC 95%: 30,9-41,3). Les rapports d'autopsie indiquent un nombre de deces par homicide et accident de la route plus de trols fois superleur aux chiffres recenses dans les registres d'etat civil pour la meme periode. Le taux d'homicide a confirme les estimations prealablement faites pour l'Afrlque du Sud dans une analyse internationale. En revanche, les taux correspondan aux accidents de la route et aux suicides se sont averes pres de quatre fois plus eleves. Conclusion Il s'agit du tout premier echantlllon nationalement representatif pour la mortalite par traumatisme en Afrique du Sud. Cette etude offre des estimations plus precises et des profils detailles par causes, qui ne sont disponibles dans aucune autre source. Objetivo Investigar la mortalidad relacionada con los traumatismos en Sudafrica utilizando una muestra representativa a nivel nacional y comparar los resultados con estimaciones anteriores. Metodos Se llevo a cabo un estudio retrospectivo y descriptivo de datos medico-legales de Investigaciones post mortem utilizando una muestra aleatoria en varias etapas, estratificado por zonas urbanas y zonas no urbanas y el tamano de la morgue. Se calcularon las tasas de mortalidad especificas y normalizadas por edades de causas de muerte externas. Resultados Los informes post mortem revelaron 52.493 muertes relacionadas con traumatismos en 2009 (intervalo de confianza, IC, del 95%: 46.930-58.057). Casi la mitad (25.499) fueron infligidas intencionadamente. Las tasas de mortalidad normalizadas por edades por 100.000 habitantes fueron las siguientes: todos los traumatismos: 109,0 (IC del 95%: 97,1-121,0); homicidio 38,4 (IC del 95%: 33,8-43); suicidio 13,4 (IC del 95%: 11,6-15,2) y traumatismos relacionados con el transporte 36,1 (IC del 95%: 30,9-41,3). Utilizando informes post mortem, se observaron tres veces mas casos de muertes por homicidio y traumatismos por accidentes de trafico que la cantidad registrada en el registro civil para este periodo. La tasa de homicidio fue similar a la estimacion para Sudafrica desde una perspectiva global, pero las tasas de accidentes de trafico y suicidios fueron casi cuatro veces superiores. Conclusion Esta es la primera muestra representativa a nivel nacional de mortalidad relacionada con los traumatismos en Sudafrica. Proporciona estimaciones mas precisas y perfiles por causas especificas que no pueden obtenerse de otras fuentes., Introduction In South Africa in the year 2000, injury-related mortality accounted for 12% of deaths and 16% of years of life lost. (1) This was primarily due to high mortality [...]

Published
2015
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37. Smoking and epidemics of respiratory infections

Author

Sitas, Freddy, Harris-Roxas, Ben, Bradshaw, Debbie, and Lopez, Alan D.

Subjects
Epidemics -- Australia, Medical research -- Health aspects, Medicine, Experimental -- Health aspects, Lung diseases -- Health aspects, Diseases -- Australia, Severe acute respiratory syndrome -- Health aspects, Health
Abstract

The causative role of smoking in respiratory infectious disease has been well documented in reports of the United States Surgeon General, (1) but remains underappreciated because the main focus of [...]

Published
2021
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39. Effectiveness of the Ad26.COV2.S vaccine in health-care workers in South Africa (the Sisonke study): results from a single-arm, open-label, phase 3B, implementation study

Author

Bekker, Linda-Gail, primary, Garrett, Nigel, additional, Goga, Ameena, additional, Fairall, Lara, additional, Reddy, Tarylee, additional, Yende-Zuma, Nonhlanhla, additional, Kassanjee, Reshma, additional, Collie, Shirley, additional, Sanne, Ian, additional, Boulle, Andrew, additional, Seocharan, Ishen, additional, Engelbrecht, Imke, additional, Davies, Mary-Ann, additional, Champion, Jared, additional, Chen, Tommy, additional, Bennett, Sarah, additional, Mametja, Selaelo, additional, Semenya, Mabatlo, additional, Moultrie, Harry, additional, de Oliveira, Tulio, additional, Lessells, Richard John, additional, Cohen, Cheryl, additional, Jassat, Waasila, additional, Groome, Michelle, additional, Von Gottberg, Anne, additional, Le Roux, Engelbert, additional, Khuto, Kentse, additional, Barouch, Dan, additional, Mahomed, Hassan, additional, Wolmarans, Milani, additional, Rousseau, Petro, additional, Bradshaw, Debbie, additional, Mulder, Michelle, additional, Opie, Jessica, additional, Louw, Vernon, additional, Jacobson, Barry, additional, Rowji, Pradeep, additional, Peter, Jonny G, additional, Takalani, Azwi, additional, Odhiambo, Jackline, additional, Mayat, Fatima, additional, Takuva, Simbarashe, additional, Corey, Lawrence, additional, Gray, Glenda E, additional, Brumskine, William, additional, Naicker, Nivashnee, additional, Makhaza, Disebo, additional, Naicker, Vimla, additional, Naidoo, Logashvari, additional, Spooner, Elizabeth, additional, van Nieuwenhuizen, Elane, additional, Mngadi, Kathryn, additional, Nchabeleng, Maphoshane, additional, Innes, James Craig, additional, Gill, Katherine, additional, Petrick, Friedrich Georg, additional, Barnabas, Shaun, additional, Badal-Faesen, Sharlaa, additional, Kassim, Sheetal, additional, Mahoney, Scott Hayden, additional, Lazarus, Erica, additional, Nana, Anusha, additional, Maboa, Rebone Molobane, additional, Kotze, Philip, additional, Lombaard, Johan, additional, Malan, Daniel Rudolf, additional, Kotze, Sheena, additional, Mohlala, Phuthi, additional, Ward, Amy, additional, Meintjes, Graeme, additional, Urbach, Dorothea, additional, Patel, Faeezah, additional, Diacon, Andreas, additional, Ahmed, Khatija, additional, Grobbelaar, Coert, additional, Mda, Pamela, additional, Dubula, Thozama, additional, Luabeya, Angelique, additional, Mamba, Musawenkosi Bhekithemba, additional, Burgess, Lesley, additional, and Dawson, Rodney, additional

Published
2022
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40. Global, regional, and national consumption of animal-source foods between 1990 and 2018: findings from the Global Dietary Database

Author

Miller, Victoria, primary, Reedy, Julia, additional, Cudhea, Frederick, additional, Zhang, Jianyi, additional, Shi, Peilin, additional, Erndt-Marino, Josh, additional, Coates, Jennifer, additional, Micha, Renata, additional, Webb, Patrick, additional, Mozaffarian, Dariush, additional, Abbott, Pamela, additional, Abdollahi, Morteza, additional, Abedi, Parvin, additional, Abumweis, Suhad, additional, Adair, Linda, additional, Al Nsour, Mohannad, additional, Al-Daghri, Nasser, additional, Al-Hamad, Nawal, additional, Al-Hooti, Suad, additional, Al-Zenki, Sameer, additional, Alam, Iftikhar, additional, Ali, Jemal H, additional, Alissa, Eman, additional, Anderson, Simon, additional, Anzid, Karim, additional, Arambepola, Carukshi, additional, Arici, Mustafa, additional, Arsenault, Joanne, additional, Asciak, Renzo, additional, Barbieri, Helene E, additional, Barengo, Noël, additional, Barquera, Simon, additional, Bas, Murat, additional, Becker, Wulf, additional, Beer-Borst, Sigrid, additional, Bergman, Per, additional, Biró, Lajos, additional, Boindala, Sesikeran, additional, Bovet, Pascal, additional, Bradshaw, Debbie, additional, Bukhary, Noriklil BI, additional, Bundhamcharoen, Kanitta, additional, Caballero, Mauricio, additional, Calleja, Neville, additional, Cao, Xia, additional, Capanzana, Mario, additional, Carmikle, Jan, additional, Castetbon, Katia, additional, Castro, Michelle, additional, Cerdena, Corazon, additional, Chang, Hsing-Yi, additional, Charlton, Karen, additional, Chen, Yu, additional, Chen, Mei F, additional, Chiplonkar, Shashi, additional, Cho, Yoonsu, additional, Chuah, Khun-Aik, additional, Costanzo, Simona, additional, Cowan, Melanie, additional, Damasceno, Albertino, additional, Dastgiri, Saeed, additional, De Henauw, Stefaan, additional, DeRidder, Karin, additional, Ding, Eric, additional, Dommarco, Rivera, additional, Don, Rokiah, additional, Duante, Charmaine, additional, Duleva, Vesselka, additional, Duran Aguero, Samuel, additional, Ekbote, Veena, additional, El Ati, Jalila, additional, El Hamdouchi, Asmaa, additional, El-kour, Tatyana, additional, Eldridge, Alison, additional, Elmadfa, Ibrahim, additional, Esteghamati, Alireza, additional, Etemad, Zohreh, additional, Fadzil, Fariza, additional, Farzadfar, Farshad, additional, Fernandez, Anne, additional, Fernando, Dulitha, additional, Fisberg, Regina, additional, Forsyth, Simon, additional, Gamboa-Delgado, Edna, additional, Garriguet, Didier, additional, Gaspoz, Jean-Michel, additional, Gauci, Dorothy, additional, Geleijnse, Marianne, additional, Ginnela, Brahmam, additional, Grosso, Giuseppe, additional, Guessous, Idris, additional, Gulliford, Martin, additional, Gunnarsdottir, Ingibjorg, additional, Hadden, Wilbur, additional, Hadziomeragic, Aida, additional, Haerpfer, Christian, additional, Hakeem, Rubina, additional, Haque, Aminul, additional, Hashemian, Maryam, additional, Hemalatha, Rajkumar, additional, Henjum, Sigrun, additional, Hinkov, Hristo, additional, Hjdaud, Zaiton, additional, Hoffman, Daniel, additional, Hopping, Beth, additional, Houshiar-rad, Anahita, additional, Hsieh, Yao-Te, additional, Hung, Shu-Yi, additional, Huybrechts, Inge, additional, Hwalla, Nahla C, additional, Ibrahim, Hajah M, additional, Ikeda, Nayu, additional, Illescas-Zarate, Daniel, additional, Inoue, Manami, additional, Janakiram, Chandrashekar, additional, Jayawardena, Ranil, additional, Jeewon, Rajesh, additional, Jitnarin, Nattinee, additional, Johansson, Lars, additional, Jonsdottir, Olof, additional, Jundishapur, Ahvaz, additional, Kally, Ola, additional, Kandiah, Mirnalini, additional, Karupaiah, Tilakavati, additional, Keinan-Boker, Lital, additional, Kelishadi, Roya, additional, Khadilkar, Anuradha, additional, Kim, Cho-il, additional, Koksal, Eda, additional, Konig, Jurgen, additional, Korkalo, Liisa, additional, Koster, Jeremy, additional, Kovalskys, Irina, additional, Krishnan, Anand, additional, Kruger, Herculina, additional, Kuriyan-Raj, Rebecca, additional, Kweon, Sanghui, additional, Lachat, Carl, additional, Lai, Yuen, additional, Lanerolle, Pulani, additional, Laxmaiah, Avula, additional, Leclercq, Catherine, additional, Lee, Meei-Shyuan, additional, Lee, Hae-Jeung, additional, Lemming, Eva W, additional, Li, Yanping, additional, Lindström, Jaana, additional, Ling, Annie, additional, Liputo, Nur IL, additional, Lopez-Jaramillo, Patricio, additional, Luke, Amy, additional, Lukito, Widjaja, additional, Lupotto, Elisabette, additional, Ma, Yi, additional, Mahdy, Zaleha A, additional, Malekzadeh, Reza, additional, Manan, Wan, additional, Marchioni, Dirce, additional, Marques, Lydia L, additional, Marques-Vidal, Pedro, additional, Martin-Prevel,, Yves, additional, Mathee, Angie, additional, Matsumura, Yasuhiro, additional, Mazumdar, Paramita, additional, Memon, Anjum, additional, Mensink, Gert, additional, Meyer, Alexa, additional, Mirmiran, Parvin, additional, Mirzaei, Masoud, additional, Misra, Puneet, additional, Misra, Anoop, additional, Mitchell, Claudette, additional, Mohamed, Hamid JBJ, additional, Mohammadi-Nasrabadi, Fatemeh, additional, Mohammadifard, Noushin, additional, Moy, Foong M, additional, Musaiger, Abdulrahman, additional, Mwaniki, Elizabeth, additional, Myhre, Jannicke, additional, Nagalla, Balakrishna, additional, Naska, Androniki, additional, Ng, Swee A, additional, Ng, Shu W, additional, Ngoan, Le TN, additional, Noshad, Sina, additional, Ochoa, Angelica, additional, Ocke, Marga, additional, Odenkirk, Jillian, additional, Oh, Kyungwon, additional, Oleas, Mariana, additional, Olivares, Sonia, additional, Orfanos, Philippos, additional, Ortiz-Ulloa, Johana, additional, Otero, Johanna, additional, Ovaskainen, Marja-Leena, additional, Pakseresht, Mohammadreza, additional, Palacios, Cristina, additional, Palmer, Pam, additional, Pan, Wen-Harn, additional, Panagiotakos, Demosthenes, additional, Parajuli, Rajendra, additional, Park, Myungsook, additional, Pekcan, Gulden, additional, Petrova, Stefka, additional, Piaseu, Noppawan, additional, Pitsavos, Christos, additional, Polasa, Kalpagam, additional, Posada, Luz, additional, Pourfarzi, Farhad, additional, Preston, Alan M, additional, Rached, Ingrid, additional, Rahbar, Ali R, additional, Rehm, Colin, additional, Richter, Almut, additional, Riley, Leanne, additional, Salanave, Benoit, additional, Sánchez-Romero, Luz M, additional, Sarrafzadegan, Nizal, additional, Sawada, Norie, additional, Sekiyama, Makiko, additional, Selamat, Rusidah, additional, Shamsuddin, Khadijah, additional, Shariff, Zalilah M, additional, Sharma, Sangita, additional, Sibai, Abla M, additional, Sinkko, Harri, additional, Sioen, Isabelle, additional, Sisa, Ivan, additional, Skeaff, Sheila, additional, Steingrimsdottir, Laufey, additional, Strand, Tor, additional, Suarez-Ortegon, Milton F, additional, Swaminathan, Sumathi, additional, Swan, Gillian, additional, Sygnowska, Elzbieta, additional, Szabo, Maria, additional, Szponar, Lucjan, additional, Tan-Khouw, Ilse, additional, Tapanainen, Heli, additional, Tayyem, Reema, additional, Tedla, Bemnet, additional, Tedstone, Alison, additional, Templeton, Robert, additional, Termote, Celine, additional, Thanopoulou, Anastasia, additional, Thorgeirsdottir, Holmfridur, additional, Thorsdottir, Inga, additional, Trichopoulos, Dimitrios, additional, Trichopoulou, Antonia, additional, Tsugane, Shoichiro, additional, Turrini, Aida, additional, van Oosterhout, Coline, additional, Vartiainen, Erkki, additional, Veerman, J Lennert, additional, Virtanen, Suvi, additional, Vollenweider, Peter, additional, Vossenaar, Marieke, additional, Waidyatilaka, Indu, additional, Waskiewicz, Anna, additional, Waterham, Eveline, additional, Wieler, Lothar, additional, Wondwossen, Tizita, additional, Wu, Suh, additional, Yaakub, Roseyati, additional, Yap, Mabel, additional, Yusof, Safiah, additional, Zaghloul, Sahar, additional, Zajkás, Gábor, additional, Zapata, Maria, additional, Zarina, Khairul, additional, and Zohoori, Fatemeh V, additional

Published
2022
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41. Alcohol, Violence and Injury-Induced Mortality: Evidence from a Modern-Day Prohibition

Author

Barron, Kai, Parry, Charles D. H., Bradshaw, Debbie, Dorrington, Rob, Groenewald, Pam, Laubscher, Ria, Matzopoulos, Richard, and Wissenschaftszentrum Berlin für Sozialforschung gGmbH

Subjects
Social Problems, ban, K42, alcohol consumption, soziale Probleme, Sterblichkeit, South Africa, violence, Alkoholkonsum, Kriminalität, ddc:330, Republik Südafrika, Social sciences, sociology, anthropology, Gewalt, crime, Sozialwissenschaften, Soziologie, I18, alcohol, Health Policy, I12, Alkohol, health, economics, mortality, Verbot, ddc:360, Soziale Probleme und Sozialdienste, Republic of South Africa, ddc:300, criminality, Gesundheitspolitik, Social problems and services, Covid-19
Abstract

This paper evaluates the impact of a sudden and unexpected nation-wide alcohol sales ban in South Africa. We find that this policy causally reduced injury-induced mortality in the country by at least 14% during the five weeks of the ban. We argue that this estimate constitutes a lower bound on the true impact of alcohol on injury-induced mortality. We also document a sharp drop in violent crimes, indicating a tight link between alcohol and aggressive behaviour in society. Our results underscore the severe harm that alcohol can cause and point towards a role for policy measures that target the heaviest drinkers in society.

Published
2022

42. Global, regional, and national consumption of animal-source foods between 1990 and 2018: findings from the Global Dietary Database

Author

Miller, V., Reedy, J, Cudhea, F, Zhang, J, Shi, P, Erndt-Marino, J, Coates, J, Micha, R, Webb, P, Mozaffarian, D, Henjum, Sigrun, Strand, Tor Arne, Abbott, P., Abdollahi, M., Abedi, P., Abumweis, S., Adair, L., Ng, SA., Al Nsour, Mohannad, Alam, Iftikhar, Al-Daghri, Nasser, Al-Hamad, Nawal, Al-Hooti, Suad, Alissa, Eman, Al-Zenki, Sameer, Anderson, Simon, Anzid, Karim, Arambepola, C, Arici, Mustafa, Arsenault, J, Asciak, R, Biro, Lajos, Barengo, Noël C., Barquera, Simon, Bas, M, Becker, Wulf, Beer-Borst, S, Bergman, Per, Boindala, S, Bovet, Pascal, Bradshaw, Debbie, Bukhary, N, Bundhamcharoen, Kanitta, Caballero, M, Calleja, Neville, Cao, X, Capanzana, M, Carmikle, J, Castetbon, Katia, and Castro, M

Abstract

Background Diet is a major modifiable risk factor for human health and overall consumption patterns affect planetary health. We aimed to quantify global, regional, and national consumption levels of animal-source foods (ASF) to inform intervention, surveillance, and policy priorities. Methods Individual-level dietary surveys across 185 countries conducted between 1990 and 2018 were identified, obtained, standardised, and assessed among children and adults, jointly stratified by age, sex, education level, and rural versus urban residence. We included 499 discrete surveys (91·2% nationally or subnationally representative) with data for ASF (unprocessed red meat, processed meat, eggs, seafood, milk, cheese, and yoghurt), comprising 3·8 million individuals from 134 countries representing 95·2% of the world population in 2018. We used Bayesian hierarchical models to account for differences in survey methods and representativeness, time trends, and input data and modelling uncertainty, with five-fold cross-validation. Findings In 2018, mean global intake per person of unprocessed red meat was 51 g/day (95% uncertainty interval [UI] 48–54; region-specific range 7–114 g/day); 17 countries (23·9% of the world's population) had mean intakes of at least one serving (100 g) per day. Global mean intake of processed meat was 17 g/day (95% UI 15–21 g/day; region-specific range 3–54 g/day); seafood, 28 g/day (27–30 g/day; 12–44 g/day); eggs, 21 g/day (18–24 g/day; 6–35 g/day); milk 88 g/day (84–93 g/day; 45–185 g/day); cheese, 8 g/day (8–10 g/day; 1–34 g/day); and yoghurt, 20 g/day (17–23 g/day; 7–84 g/day). Mean national intakes were at least one serving per day for processed meat (≥50 g/day) in countries representing 6·9% of the global population; for cheese (≥42 g/day) in 2·3%; for eggs (≥55 g/day) in 0·7%; for milk (≥245 g/day) in 0·3%; for seafood (≥100 g/day) in 0·8%; and for yoghurt (≥245 g/day) in less than 0·1%. Among the 25 most populous countries in 2018, total ASF intake was highest in Russia (5·8 servings per day), Germany (3·8 servings per day), and the UK (3·7 servings per day), and lowest in Tanzania (0·9 servings per day) and India (0·7 servings per day). Global and regional intakes of ASF were generally similar by sex. Compared with children, adults generally consumed more unprocessed red meat, seafood and cheese, and less milk; energy-adjusted intakes of other ASF were more similar. Globally, ASF intakes (servings per week) were higher among more-educated versus less-educated adults, with greatest global differences for milk (0·79), eggs (0·47), unprocessed red meat (0·42), cheese (0·28), seafood (0·28), yoghurt (0·22), and processed meat (0·21). This was also true for urban compared to rural areas, with largest global differences (servings per week) for unprocessed red meat (0·47), milk (0·38), and eggs (0·20). Between 1990 and 2018, global intakes (servings per week) increased for unprocessed red meat (1·20), eggs (1·18), milk (0·63), processed meat (0·50), seafood (0·44), and cheese (0·14). Interpretation Our estimates of ASF consumption identify populations with both lower and higher than optimal intakes. These estimates can inform the targeting of intervention, surveillance, and policy priorities relevant to both human and planetary health.

Published
2022

46. Ranking lifestyle risk factors for cervical cancer among Black women: A case-control study from Johannesburg, South Africa

Author

Singini, Mwiza Gideon, primary, Sitas, Freddy, additional, Bradshaw, Debbie, additional, Chen, Wenlong Carl, additional, Motlhale, Melitah, additional, Kamiza, Abram Bunya, additional, de Villiers, Chantal Babb, additional, Lewis, Cathryn M., additional, Mathew, Christopher G., additional, Waterboer, Tim, additional, Newton, Robert, additional, Muchengeti, Mazvita, additional, and Singh, Elvira, additional

Published
2021
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50. Thirteen cancers associated with HIV infection in a Black South African cancer patient population (1995‐2016).

Author

Sengayi‐Muchengeti, Mazvita, Singh, Elvira, Chen, Wenlong Carl, Bradshaw, Debbie, de Villiers, Chantal Babb, Newton, Robert, Waterboer, Tim, Mathew, Christopher G, and Sitas, Freddy

Subjects
BLACK South Africans, HIV infections, KAPOSI'S sarcoma, EYE cancer, HIV-positive persons
Abstract

South Africa's HIV epidemic has evolved over time in terms of numbers of people living with HIV, access to antiretroviral treatment (ART) and age. These changes have profoundly influenced local cancer patterns. The Johannesburg Cancer Study has, over a period of 22 years (1995‐2016), recruited over 20 000 incident black cancer patients who consented to provide answers to a questionnaire and blood samples (serum, DNA). This has presented a unique opportunity to examine the evolving association of HIV with cancer in Africa. We used logistic regression models to explore case‐control associations between specific cancers and HIV, using participants with non‐infection related cancers as controls. Using data of 20 835 cancer patients with confirmed HIV status, we found the following cancers to be associated with HIV: Kaposi's sarcoma (ORadj; 95%CI): (99.1;72.6‐135.1), non‐Hodgkin lymphoma (11.3;9.3‐13.6), cervical cancer (2.7;2.4‐3.0), Hodgkin lymphoma (3.1;2.4‐4.2), cancer of the eye/conjunctiva (18.7;10.1‐34.7), anogenital cancers (anus [2.1;1.4‐3.2], penis [5.4;2.7‐10.5], vulva [4.8;3.5‐6.4], vagina [5.5;3.0‐10.2]), oropharyngeal cancer (1.6;1.3‐1.9), squamous cell carcinoma of the skin (3.5;2.4‐4.9), melanoma (2.0;1.2‐3.5) and cancer of the larynx (1.7;1.3‐2.4). Kaposi's sarcoma odds ratios increased from the pre‐ART (1995‐2004) to the early ART (2005‐2009) period but declined in the late ART (2010‐2016) period. Odds ratios for cancers of the eye/conjunctiva, cervix, penis and vulva continued to increase in recent ART periods. Our study confirms the spectrum of HIV‐associated cancers found in other African settings. The odds ratios of conjunctival and HPV‐related cancers continue to rise in the ART era as the HIV positive population ages. [ABSTRACT FROM AUTHOR]

Published
2023
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