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2. A Review of Critical Features and General Issues of Freely Available mHealth Apps For Dietary Assessment

Author

Tahir, Ghalib Ahmed, Loo, Chu Kiong, Moy, Foong Ming, and Kong, Nadine

Subjects
Computer Science - Computers and Society, Computer Science - Human-Computer Interaction, Computer Science - Multimedia
Abstract

Obesity is known to lower the quality of life substantially. It is often associated with increased chances of non-communicable diseases such as diabetes, cardiovascular problems, various cancers, etc. Evidence suggests that diet-related mobile applications play a vital role in assisting individuals in making healthier choices and keeping track of food intake. However, due to an abundance of similar applications, it becomes pertinent to evaluate each of them in terms of functionality, usability, and possible design issues to truly determine state-of-the-art solutions for the future. Since these applications involve implementing multiple user requirements and recommendations from different dietitians, the evaluation becomes quite complex. Therefore, this study aims to review existing dietary applications at length to highlight key features and problems that enhance or undermine an application's usability. For this purpose, we have examined the published literature from various scientific databases of the PUBMED, CINAHL (January 2010-December 2019) and Science Direct (2010-2019). We followed PRISMA guidelines, and out of our findings, fifty-six primary studies met our inclusion criteria after identification, screening, eligibility and full-text evaluation. We analyzed 35 apps from the selected studies and extracted the data of each of the identified apps.Following our detailed analysis on the comprehensiveness of freely available mHealth applications, we specified potential future research challenges and stated recommendations to help grow clinically accurate diet-related applications.

Published
2020

6. Identifying obesogenic environment through spatial clustering of body mass index among adults.

Author

Wong, Kimberly Yuin Y'ng, Moy, Foong Ming, Shafie, Aziz, and Rampal, Sanjay

Subjects
*OBESOGENIC environment, *BODY mass index, *FAST food restaurants, *METROPOLITAN areas, *ADULTS, *OVERWEIGHT children
Abstract

Background: The escalating trend of obesity in Malaysia is surmounting, and the lack of evidence on the environmental influence on obesity is untenable. Obesogenic environmental factors often emerge as a result of shared environmental, demographic, or cultural effects among neighbouring regions that impact lifestyle. Employing spatial clustering can effectively elucidate the geographical distribution of obesity and pinpoint regions with potential obesogenic environments, thereby informing public health interventions and further exploration on the local environments. This study aimed to determine the spatial clustering of body mass index (BMI) among adults in Malaysia. Method: This study utilized information of respondents aged 18 to 59 years old from the National Health and Morbidity Survey (NHMS) 2014 and 2015 at Peninsular Malaysia and East Malaysia. Fast food restaurant proximity, district population density, and district median household income were determined from other sources. The analysis was conducted for total respondents and stratified by sex. Multilevel regression was used to produce the BMI estimates on a set of variables, adjusted for data clustering at enumeration blocks. Global Moran's I and Local Indicator of Spatial Association statistics were applied to assess the general clustering and location of spatial clusters of BMI, respectively using point locations of respondents and spatial weights of 8 km Euclidean radius or 5 nearest neighbours. Results: Spatial clustering of BMI independent of individual sociodemographic was significant (p < 0.001) in Peninsular and East Malaysia with Global Moran's index of 0.12 and 0.15, respectively. High-BMI clusters (hotspots) were in suburban districts, whilst the urban districts were low-BMI clusters (cold spots). Spatial clustering was greater among males with hotspots located closer to urban areas, whereas hotspots for females were in less urbanized areas. Conclusion: Obesogenic environment was identified in suburban districts, where spatial clusters differ between males and females in certain districts. Future studies and interventions on creating a healthier environment should be geographically targeted and consider gender differences. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Treatment intensification and therapeutic inertia of antihypertensive therapy among patients with type 2 diabetes and hypertension with uncontrolled blood pressure.

Author

Wan, Kim Sui, Moy, Foong Ming, Mohd Yusoff, Muhammad Fadhli, Mustapha, Feisul, Ismail, Mastura, Mat Rifin, Halizah, Yoga Ratnam, Kishwen Kanna, Ismail, Hasimah, Chong, Kah Kian, Ahmad, Noor Ani, and Hairi, Noran Naqiah

Subjects
*BLOOD viscosity, *TYPE 2 diabetes, *DIASTOLIC blood pressure, *SYSTOLIC blood pressure, *MEDICAL quality control, *HYPERTENSION, *BLOOD pressure
Abstract

Treatment intensification is essential to ensure guideline targets are attained in diabetes patients. The failure to intensify treatment when the targets are not achieved is therapeutic inertia. This study aimed to determine the proportions and factors associated with treatment intensification and therapeutic inertia of antihypertensive therapy in type 2 diabetes patients with uncontrolled hypertension in Malaysia. A retrospective cohort analysis was conducted utilising registry data. Diabetes hypertensive patients with uncontrolled baseline systolic or diastolic blood pressure were included. Treatment intensification was the increase in the number of antihypertensive agents from the index treatment. Therapeutic inertia was the absence of treatment intensification when the second blood pressure reading was still uncontrolled. About 6956 patients were followed up over 2.5 ± 1.1 person-years. Treatment intensification was observed in 29.8% of patients, while 38.6% had therapeutic inertia. Chinese, Indian, and 'others' ethnic groups, retinopathy, more antihypertensive agents, and higher systolic blood pressure were associated with therapeutic inertia. Underweight, overweight patients and those with dyslipidaemia had lower risks for therapeutic inertia. The results indicate suboptimal quality of care in public health clinics in Malaysia. Further studies are needed to determine the underlying causes to formulate precise interventions to tackle the problem in Malaysia. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Prevalence of diabetic kidney disease and the associated factors among patients with type 2 diabetes in a multi-ethnic Asian country.

Author

Wan, Kim Sui, Hairi, Noran Naqiah, Mustapha, Feisul, Mohd Yusoff, Muhammad Fadhli, Mat Rifin, Halizah, Ismail, Mastura, Moy, Foong Ming, and Ahmad, Noor Ani

Abstract

The actual prevalence of diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D) in Malaysia is unknown. We aimed to determine the prevalence of DKD and its associated risk factors among T2D patients in Malaysia. An analytical cross-sectional study was conducted using the year 2022 clinical audit dataset from the National Diabetes Registry. DKD was defined as albuminuria, a decreased glomerular filtration rate, or both. Among 80,360 patients, 62.2% were female, 68.4% were Malay, and the mean age was 61.4 years. A total of 56.7% (95% CI 56.4–57.1%) of patients were found to have DKD. Increasing age, male sex, Malay ethnicity, longer duration of diabetes, overweight, obesity, hypertension, diabetic retinopathy, diabetic foot ulcer, nontraumatic lower-extremity amputation, ischaemic heart disease, stroke, insulin, higher numbers of antihypertensive agents, antiplatelet agents, poorer HbA1c control, higher systolic blood pressure, non-achievement of triglyceride target, and non-attainment of HDL-cholesterol goal were independent risk factors associated with DKD. Clinicians, program managers, and health policymakers should target modifiable factors to manage DKD and prevent its progression to end-stage kidney disease in Malaysia. [ABSTRACT FROM AUTHOR]

Published
2024
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21. 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

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. 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

32. A global view of adherence to colonoscopy follow‐up in cascade screening of colorectal cancer

Author

Yang, Yihui, primary, Huang, Junjie, additional, Wu, Weimiao, additional, Luu, Hung N., additional, Moy, Foong‐Ming, additional, Tan, Songsong, additional, Fu, Jiongxing, additional, Ying, Tao, additional, Withers, Mellissa, additional, Hung, Dang The, additional, Mao, Dandan, additional, Chen, Sikun, additional, Wong, Martin C. S., additional, and Xu, Wanghong, additional

Published
2022
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39. sj-pdf-1-sci-10.1177_00368504211029812 – Supplemental material for Perception towards E-learning and COVID-19 on the mental health status of university students in Malaysia

Author

Moy, Foong Ming and Ng, Yit Han

Subjects
FOS: Biological sciences, 69999 Biological Sciences not elsewhere classified
Abstract

Supplemental material, sj-pdf-1-sci-10.1177_00368504211029812 for Perception towards E-learning and COVID-19 on the mental health status of university students in Malaysia by Foong Ming Moy and Yit Han Ng in Science Progress

Published
2021
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40. Validation of a Sustainable Diet Index among young Malaysian adults.

Author

Zulkefli, Nur Fadzlina and Moy, Foong Ming

Abstract

Introduction: A sustainable diet which is healthy and environmentally friendly provides the means of climate change mitigation in addition to promoting health of the population. There is an urgent need to have an indicator to measure if one's diet is sustainable. This paper aimed to validate a newly developed Sustainable Diet Index (SDI) among young Malaysian adults. The SDI was developed based on the dietary guidelines of a sustainable diet. Methods: Five indicators (rice, animal-based food, plant-based food, food waste, and packaging) were included in the SDI. The index was validated via content validity, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA) among young Malaysian adults. The dietary assessment tool used was an Android application named Sustainable Food Record. Results: Content validity showed fair to moderate correlations (0.331 - 0.816) between the indicators in the SDI. EFA produced five final factors with eight indicators in the index as follows: 1) fruits and vegetables; 2) dairy, eggs, and meat; 3) rice, cereals, and grain products; 4) food packaging; and 5) food waste management with strong factor loadings (0.760 -- 0.984). All five factors with eight indicators were retained and proceeded with CFA. The fit indices from CFA demonstrated that the model was an absolutely fit. Conclusion: The validated SDI can be used as a tool to measure the sustainability of an individual's diet in Malaysia, incorporating both health and environment considerations. [ABSTRACT FROM AUTHOR]

Published
2022
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43. Trend and Prevalence of Overweight and Obesity among The Military Population – A Systematic Review

Author

Omar, Azizan, Leong, Hui Ling, and Moy, Foong Ming

Subjects
medicine_pharmacology_other, nutritional and metabolic diseases
Abstract

Prevalence of overweight and obesity are escalating globally among the general population. However, there are limited evidence on the trends and prevalence of overweight /obesity in the military setting. Increased rates of injuries, low work productivity, incurred higher healthcare costs and prematurely discharge from service are consequences of overweight/obesity among the military. Therefore, we aimed to systematically describe the trends and prevalence of overweight and obesity in the military population, by regions and military service branches. Databases including PubMed, Scopus, Web of Science and Google Scholar were used. Inclusion criteria were military population (inclusive of all service branches) with BMI reported as the overweight/obesity indicator. Population related to military but not exclusively military personnel such as the retirees, the veterans and their dependents were excluded. From the 27 included studies, 13 were published between year 2010 to 2014 and half were conducted in the United States. Overall, studies showed increasing trend in the prevalence of overweight (30% to 50%) and obesity (2% to 30%); only one study showed a decreasing trend of 0.9% and 0.6% for the prevalence of overweight and obesity respectively. However, the rates of increment differed between countries, where Asian countries demonstrated lower overweight prevalence compared to the United States and the European countries. In conclusion, the military population is not protected from overweight and obesity. Interventions should be implemented to prevent overweight / obesity among the military personnel.

Published
2020

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