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1. 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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5. 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

6. 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

7. 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

8. The state of health in the Arab world, 1990–2010: an analysis of the burden of diseases, injuries, and risk factors

Author

Mokdad, Ali H, Jaber, Sara, Aziz, Muna I Abdel, AlBuhairan, Fadia, AlGhaithi, Abduljabbar, AlHamad, Nawal M, Al-Hooti, Suad N, Al-Jasari, Adel, AlMazroa, Mohammad A, AlQasmi, Ahmed Mohamed, Alsowaidi, Shirina, Asad, Majed, Atkinson, Charles, Badawi, Alaa, Bakfalouni, Talal, Barkia, AbdelAziz, Biryukov, Stan, El Bcheraoui, Charbel, Daoud, Farah, Forouzanfar, Mohammad Hossein, Gonzalez-Medina, Diego, Hamadeh, Randah R, Hsairi, Mohamed, Hussein, Seifeddin Saleh, Karam, Nadim, Khalifa, Shams Eldin Ali Hassan, Khoja, Tawfik A M, Lami, Faris, Leach-Kemon, Katherine, Memish, Ziad A, Mokdad, Ali A, Naghavi, Mohsen, Nasher, Jamal, Qasem, M Bassam Hijawi, Shuaib, Mohammad, Thani, Al Anoud M Al, Thani, Mohamed H Al, Zamakhshary, Mohammed, Lopez, Alan D, and Murray, Christopher J L

Published
2014
Full Text
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9. 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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10. 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

15. Impact of Nonoptimal Intakes of Saturated, Polyunsaturated, and Trans Fat on Global Burdens of Coronary Heart Disease

Author

Wang, Qianyi, Afshin, Ashkan, Yakoob, Mohammad Yawar, Singh, Gitanjali M., Rehm, Colin D., Khatibzadeh, Shahab, Micha, Renata, Shi, Peilin, Mozaffarian, Dariush, Ezzati, Majid, Fahimi, Saman, Wirojratana, Pattra, Powles, John, Elmadfa, Ibrahim, Rao, Mayuree, Alpert, Warren, Lim, Stephen S., Engell, Rebecca E., Andrews, Kathryn G., Abbott, Pamela A., Abdollahi, Morteza, Abeyá Gilardon, Enrique O., Ahsan, Habibul, Al Nsour, Mohannad Abed Alfattah, Al-Hooti, Suad N., Arambepola, Carukshi, Fernando, Dulitha N., Barennes, Hubert, Barquera, Simon, Baylin, Ana, Becker, Wulf, Bjerregaard, Peter, Bourne, Lesley T., Capanzana, Mario V., Castetbon, Katia, Chang, Hsing Yi, Chen, Yu, Cowan, Melanie J., Riley, Leanne M., De Henauw, Stefaan, Ding, Eric L., Duante, Charmaine A., Duran, Pablo, Barbieri, Heléne Enghardt, Farzadfar, Farshad, Hadziomeragic, Aida Filipovic, Fisberg, Regina M., Forsyth, Simon, Garriguet, Didier, Gaspoz, Jean Michel, Gauci, Dorothy, Calleja, Neville, Ginnela, Brahmam N V, Guessous, Idris, Gulliford, Martin C., Hadden, Wilbur, Haerpfer, Christian, Hoffman, Daniel J., Houshiar-Rad, Anahita, Huybrechts, Inge, Hwalla, Nahla C., Ibrahim, Hajah Masni, Inoue, Manami, Jackson, Maria D., Johansson, Lars, Keinan-Boker, Lital, Kim, Cho il, Koksal, Eda, Lee, Hae Jeung, Li, Yanping, Lipoeto, Nur Indrawaty, Ma, Guansheng, Mangialavori, Guadalupe L., Matsumura, Yasuhiro, McGarvey, Stephen T., Fen, Chan Mei, Monge-Rojas, Rafael A., Musaiger, Abdulrahman Obaid, Nagalla, Balakrishna, Naska, Androniki, Ocke, Marga C., Oltarzewski, Maciej, Szponar, Lucjan, Orfanos, Philippos, Ovaskainen, Marja Leena, Tapanainen, Heli, Pan, Wen Harn, Panagiotakos, Demosthenes B., Pekcan, Gulden Ayla, Petrova, Stefka, Piaseu, Noppawan, Pitsavos, Christos, Posada, Luz Gladys, Sánchez-Romero, Luz Maria, Selamat, Rusidah B T, Sharma, Sangita, Sibai, Abla Mehio, Sichieri, Rosely, Simmala, Chansimaly, Steingrimsdottir, Laufey, Swan, Gillian, Sygnowska, Elzbieta Halina, Templeton, Robert, Thanopoulou, Anastasia, Thorgeirsdóttir, Holmfridur, Thorsdottir, Inga, Trichopoulou, Antonia, Tsugane, Shoichiro, Turrini, Aida, Vaask, Sirje, van Oosterhout, Coline, Veerman, J. Lennert, Verena, Nowak, Waskiewicz, Anna, Zaghloul, Sahar, and Zajkás, Gábor

Subjects
Male, saturated fat, Time Factors, Trans fatty acids, FATORES DE RISCO, Epidemiology, Saturated fat, Coronary Disease, 030204 cardiovascular system & hematology, Recommended Dietary Allowances, Polyunsaturated fat, 0302 clinical medicine, cardiovascular disease, Risk Factors, Medicine, 030212 general & internal medicine, ω‐6 polyunsaturated fat, Original Research, 2. Zero hunger, chemistry.chemical_classification, 1. No poverty, food and beverages, trans fat, Trans Fatty Acids, Cardiovascular disease, Markov Chains, Nutritionally induced diseases, 3. Good health, Coronary heart disease, dietary fat, Female, Cardiology and Cardiovascular Medicine, Risk assessment, Monte Carlo Method, Polyunsaturated fatty acid, medicine.medical_specialty, Trans fat, Health surveys, Uncertainty interval, Diet Surveys, Risk Assessment, 03 medical and health sciences, Chd mortality, Age Distribution, Lipids in human nutrition, X-6 polyunsaturated fat, Fatty Acids, Omega-6, Environmental health, Global Burden of Diseases Nutrition and Chronic Diseases Expert Group (NutriCoDE), Humans, Saturated fatty acids, coronary heart disease, Sex Distribution, Coronary heart disease -- Nutritional aspects, Unsaturated fatty acids, business.industry, Correction, Bayes Theorem, Protective Factors, Dietary Fats, Surgery, Food -- Fat content, chemistry, business, Dietary fat
Abstract

Background: Saturated fat (SFA), ω‐6 (n‐6) polyunsaturated fat (PUFA), and trans fat (TFA) influence risk of coronary heart disease (CHD), but attributable CHD mortalities by country, age, sex, and time are unclear. Methods and Results: National intakes of SFA, n‐6 PUFA, and TFA were estimated using a Bayesian hierarchical model based on country‐specific dietary surveys; food availability data; and, for TFA, industry reports on fats/oils and packaged foods. Etiologic effects of dietary fats on CHD mortality were derived from meta‐analyses of prospective cohorts and CHD mortality rates from the 2010 Global Burden of Diseases study. Absolute and proportional attributable CHD mortality were computed using a comparative risk assessment framework. In 2010, nonoptimal intakes of n‐6 PUFA, SFA, and TFA were estimated to result in 711 800 (95% uncertainty interval [UI] 680 700–745 000), 250 900 (95% UI 236 900–265 800), and 537 200 (95% UI 517 600–557 000) CHD deaths per year worldwide, accounting for 10.3% (95% UI 9.9%–10.6%), 3.6%, (95% UI 3.5%–3.6%) and 7.7% (95% UI 7.6%–7.9%) of global CHD mortality. Tropical oil–consuming countries were estimated to have the highest proportional n‐6 PUFA– and SFA‐attributable CHD mortality, whereas Egypt, Pakistan, and Canada were estimated to have the highest proportional TFA‐attributable CHD mortality. From 1990 to 2010 globally, the estimated proportional CHD mortality decreased by 9% for insufficient n‐6 PUFA and by 21% for higher SFA, whereas it increased by 4% for higher TFA, with the latter driven by increases in low‐ and middle‐income countries. Conclusions: Nonoptimal intakes of n‐6 PUFA, TFA, and SFA each contribute to significant estimated CHD mortality, with important heterogeneity across countries that informs nation‐specific clinical, public health, and policy priorities., peer-reviewed

Published
2016

17. Prevalence and Determinants of Anemia and Iron Deficiency in Kuwait

Author

Al Zenki, Sameer, primary, Alomirah, Husam, additional, Al Hooti, Suad, additional, Al Hamad, Nawal, additional, Jackson, Robert, additional, Rao, Aravinda, additional, Al Jahmah, Nasser, additional, Al Obaid, Ina'am, additional, Al Ghanim, Jameela, additional, Al Somaie, Mona, additional, Zaghloul, Sahar, additional, and Al Othman, Amani, additional

Published
2015
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21. Vitamin D deficiency is associated with high prevalence of diabetes in Kuwaiti adults: results from a national survey.

Author

Fang Fang Zhang, Al Hooti, Suad, Al Zenki, Sameer, Alomirah, Husam, Jamil, Kazi M., Rao, Aravinda, Al Jahmah, Nasser, Saltzman, Edward, Ausman, Lynne M., and Zhang, Fang Fang

Subjects
*VITAMIN D deficiency, *DISEASE prevalence, *PEOPLE with diabetes, *KUWAITIS, *HEALTH of adults, *HEALTH surveys, *HEALTH, *PREDIABETIC state, *SURVEYS, *VITAMIN D, *COMORBIDITY, *CROSS-sectional method, *NUTRITIONAL status, *DIAGNOSIS
Abstract

Background: Vitamin D homeostasis may play a critical role in glucose metabolism. Little is known on vitamin D deficiency and its association with diabetes in countries of the Arabia Gulf where the population is experiencing a rapid increase in the incidence of diabetes.Methods: In a cross-sectional study of 960 adults enrolled in the first National Nutrition Survey of the State of Kuwait (NNSSK), we examined vitamin D status in association with the prevalence of diabetes and prediabetes. Vitamin D status was measured by serum levels of 25-hydroxyvitami D (25(OH)D). Prevalences of diabetes and prediabetes were determined based on fasting glucose and HbA1C levels.Results: The median level of serum 25(OH)D in Kuwaiti adults was 13.8 ng/ml. Approximately 56 % of the Kuwaiti adults had vitamin D inadequacy (25(OH)D = 12-19.9 ng/ml), and 27 % had vitamin D deficiency (25(OH)D < 12 ng/ml). The prevalences of prediabetes and diabetes were 40 and 27 %, respectively. Vitamin D inadequacy (OR = 1.7, 95 % CI: 1.0-2.9) and deficiency (OR =2.0, 95 % CI: 1.1-3.3) was each associated with about two-fold increased odds of prediabetes compared to sufficient vitamin D status (25(OH)D ≥ 20 ng/ml). Vitamin D inadequacy (OR =2.1, 95 % CI: 1.2-3.7) and deficiency (OR =2.0, 95 % CI: 1.1-3.9) were also associated with two-fold increased odds of diabetes.Conclusions: Data from Kuwaiti's first nutrition nutritional survey suggests a very high prevalence of vitamin D deficiency in Kuwaiti adults. Associations of low vitamin D status and high prevalence of diabetes point to the need of continuous monitoring of vitamin D status and further evaluating potential health consequences in this high-risk population. [ABSTRACT FROM AUTHOR]

Published
2016
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23. High Prevalence of Metabolic Syndrome among Kuwaiti Adults —A Wake-Up Call for Public Health Intervention

Author

Al Zenki, Sameer, primary, Al Omirah, Husam, additional, Al Hooti, Suad, additional, Al Hamad, Nawal, additional, Jackson, Robert T., additional, Rao, Aravinda, additional, Al Jahmah, Nasser, additional, Al Obaid, Ina'am, additional, Al Ghanim, Jameela, additional, Al Somaie, Mona, additional, Zaghloul, Sahar, additional, and Al Othman, Amani, additional

Published
2012
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25. Efficacy of wheat-based biscuits fortified with microcapsules containing ferrous sulfate and potassium iodate or a new hydrogen-reduced elemental iron: a randomised, double-blind, controlled trial in Kuwaiti women

Author

Biebinger, Ralf, primary, Zimmermann, Michael B., additional, Al-Hooti, Suad N., additional, Al-Hamed, Nawal, additional, Al-Salem, Ebtehal, additional, Zafar, Tasleem, additional, Kabir, Yearul, additional, Al-Obaid, I'nam, additional, Petry, Nicolai, additional, and Hurrell, Richard F., additional

Published
2009
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26. The impact of dietary habits and metabolic risk factors on cardiovascular and diabetes mortality in countries of the Middle East and North Africa in 2010: a comparative risk assessment analysis.

Author

Afshin, Ashkan, Micha, Renata, Khatibzadeh, Shahab, Fahimi, Saman, Shi, Peilin, Powles, John, Singh, Gitanjali, Yakoob, Mohammad Yawar, Abdollahi, Morteza, Al-Hooti, Suad, Farzadfar, Farshad, Houshiar-rad, Anahita, Hwalla, Nahla, Koksal, Eda, Musaiger, Abdulrahman, Pekcan, Gulden, Sibai, Abla Mehio, Zaghloul, Sahar, Danaei, Goodarz, and Ezzati, Majid

Abstract

Objective/design: We conducted a comparative risk assessment analysis to estimate the cardiometabolic disease (CMD) mortality attributable to 11 dietary and 4 metabolic risk factors in 20 countries of the Middle East by age, sex and time. The national exposure distributions were obtained from a systematic search of multiple databases. Missing exposure data were estimated using a multilevel Bayesian hierarchical model. The aetiological effect of each risk factor on disease-specific mortality was obtained from clinical trials and observational studies. The number of disease-specific deaths was obtained from the 2010 Global Burden of Disease mortality database. Mortality due to each risk factor was determined using the population attributable fraction and total number of disease-specific deaths. Setting/population: Adult population in the Middle East by age, sex, country and time. Results: Suboptimal diet was the leading risk factor for CMD mortality in 11 countries accounting for 48% (in Morocco) to 72% (in the United Arab Emirates) of CMD deaths. Non-optimal systolic blood pressure was the leading risk factor for CMD deaths in eight countries causing 45% (in Bahrain) to 68% (in Libya) of CMD deaths. Non-optimal body mass index and fasting plasma glucose were the third and fourth leading risk factors for CMD mortality in most countries. Among individual dietary factors, low intake of fruits accounted for 8% (in Jordan) to 21% (in Palestine) of CMD deaths and low intake of whole grains was responsible for 7% (in Palestine) to 22% (in the United Arab Emirates) of CMD deaths. Between 1990 and 2010, the CMD mortality attributable to most risk factors had decreased except for body mass index and trans-fatty acids. Conclusions: Our findings highlight key similarities and differences in the impact of the dietary and metabolic risk factors on CMD mortality in the countries of the Middle East and inform priorities for policy measures to prevent CMD. [ABSTRACT FROM AUTHOR]

Published
2015
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27. Total body water measurement using the 2H dilution technique for the assessment of body composition of Kuwaiti children.

Author

Al-Ati, Tareq, Preston, Tom, Al-Hooti, Suad, Al-Hamad, Nawal, Al-Ghanim, Jameela, Al-Khulifi, Fatima, Al-Lahou, Badreya, Al-Othman, Amani, and Davidsson, Lena

Abstract

Objective: The 2H dilution technique is the reference method to estimate total body water for body composition assessment. The aims of the present study were to establish the total body water technique at the Kuwait Institute for Scientific Research and assess body composition of Kuwaiti children. Design: The isotope ratio mass spectrometer was calibrated with defined international reference water standards. A non-random sampling approach was used to recruit a convenience sample of Kuwaiti children. A dose of 2H2O, 1-3 g, was consumed after an overnight fast and 2H enrichment in baseline and post-dose urine samples was measured. Total body water was calculated and used to estimate fat-free mass. Fat mass was estimated as body weight minus fat-free mass. Setting: The total body water study was implemented in primary schools. Subjects: Seventy-five boys and eighty-three girls (7-9 years). Results: Measurements of the isotope ratio mass spectrometer were confirmed to be accurate and precise. Children were classified as normal weight, overweight or obese according to the WHO based on BMI-for-age Z-scores. Normal-weight and overweight girls had significantly higher percentage body fat (median (range): 32·4 % (24·7-39·3 %) and 38·3 % (29·3-44·2 %), respectively) compared with boys (median (range): 26·5 % (14·2-37·1 %) and 34·6 % (29·9-40·2 %), respectively). No gender difference was found in obese children (median 46·5 % v. 45·6 %). Conclusions: The establishment of a state-of-the-art stable isotope laboratory for assessment of body composition provides an opportunity to explore a wide range of applications to better understand the relationship between body size, body composition and risk of developing non-communicable diseases in Kuwait. [ABSTRACT FROM AUTHOR]

Published
2015
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34. Evidence for nutrition transition in Kuwait: over-consumption of macronutrients and obesity.

Author

Zaghloul, Sahar, Al-Hooti, Suad N, Al-Hamad, Nawal, Al-Zenki, Sameer, Alomirah, Husam, Alayan, Iman, Al-Attar, Hassan, Al-Othman, Amani, Al-Shami, Entessar, Al-Somaie, Mona, and Jackson, Robert T

Subjects
*NUTRITION, *FOOD consumption, *OBESITY -- Nutritional aspects, *OBESITY in women, *VITAMIN D content of food, *EPIDEMIOLOGY
Abstract

ObjectivesTo describe nutrient intakes and prevalence of overweight and obesity in a nationally representative sample of Kuwaitis and to compare intakes with reference values.DesignCross-sectional, multistage stratified, cluster sample.SettingsNational nutrition survey covering all geographical areas of the country.SubjectsKuwaitis (n 1704) between 3 and 86 years of age.ResultsObesity was more prevalent among women than men (50 % and 70 % for females aged 19–50 years and ≥51 years, respectively, v. 29 % and 42 % for their male counterparts). Boys were more obese than girls, with the highest obesity rate among those aged 9–13 years (37 % and 24 % of males and females, respectively). Energy intake was higher than the estimated energy requirements for almost half of Kuwaiti children and one-third of adults. The Estimated Average Requirement was exceeded by 78–100 % of the recommendation for protein and carbohydrates. More than two-thirds of males aged ≥4 years exceeded the Tolerable Upper Intake Level for Na. Conversely, less than 20 % of Kuwaitis, regardless of age, consumed 100 % or more of the Estimated Average Requirement for vitamin D, vitamin E, Ca, n-3 and n-6 fatty acids. Less than 20 % of children met the recommended level for fibre.ConclusionsNutrition transition among Kuwaitis was demonstrated by the increased prevalence of obesity and overweight, increased intakes of energy and macronutrients and decreased intakes of fibre and micronutrients. Interventions to increase awareness about healthy foods combined with modifications in subsidy policies are clearly warranted to increase consumption of low-energy, nutrient-dense foods. [ABSTRACT FROM AUTHOR]

Published
2013
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35. Efficacy of wheat-based biscuits fortified with microcapsules containing ferrous sulfate and potassium iodate or a new hydrogen-reduced elemental iron: a randomised, double-blind, controlled trial in Kuwaiti women

Author

Biebinger, Ralf, Zimmermann, Michael B., Al-Hooti, Suad N., Al-Hamed, Nawal, Al-Salem, Ebtehal, Zafar, Tasleem, Kabir, Yearul, Al-Obaid, I'nam, Petry, Nicolai, Hurrell, Richard F., Biebinger, Ralf, Zimmermann, Michael B., Al-Hooti, Suad N., Al-Hamed, Nawal, Al-Salem, Ebtehal, Zafar, Tasleem, Kabir, Yearul, Al-Obaid, I'nam, Petry, Nicolai, and Hurrell, Richard F.

Abstract

Adverse sensory changes prevent the addition of highly bioavailable ferrous sulfate (FeSO4) to most wheat flours. Poorly absorbable reduced Fe powders are commonly used. Encapsulation of FeSO4 can overcome these sensory changes, but the particle size of commercial compounds is too large to be used by flour mills. The first objective of the study was to measure the efficacy in wheat flour of two newly developed Fe compounds, an H-reduced Fe powder (NutraFine™ RS; North America Höganäs High Alloys LLC, Johnstown, PA, USA) and small particle-sized (40μm) encapsulated FeSO4. As a second objective, the microcapsules were evaluated as a vehicle for iodine fortification. A randomised, double-blind controlled intervention trial was conducted in Kuwaiti women (n 279; aged 18-35 years) with low body Fe stores (serum ferritin (SF) <25μg/l) randomly assigned to one of three groups (20mg Fe as NutraFine™ RS, 10mg Fe as encapsulated FeSO4 and 150μg iodine, or no fortification Fe) who consumed wheat-based biscuits 5d per week. At baseline and 22 weeks, Hb, SF, transferrin receptor, urinary iodine and body Fe stores were measured. Relative to control, mean SF in the encapsulated FeSO4 group increased by 88% (P<0·001) and body Fe stores increased from −0·96 to 2·24mg/kg body weight (P<0·001), while NutraFine™ RS did not significantly increase SF or body Fe stores. The median urinary iodine concentration increased from 140 to 213μg/l (P<0·01). NutraFine™ RS added at double the amount of Fe as FeSO4 was not efficacious in improving Fe status. The newly developed microcapsules were highly efficacious in improving both Fe stores and iodine status

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