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Kusuma D, Atanasova P, Pineda E, Anjana RM, De Silva L, Hanif AAM, Hasan M, Hossain MM, Indrawansa S, Jayamanne D, Jha S, Kasturiratne A, Katulanda P, Khawaja KI, Kumarendran B, Mridha MK, Rajakaruna V, Chambers JC, Frost G, Sassi F, Miraldo M. Food environment and diabetes mellitus in South Asia: A geospatial analysis of health outcome data. PLoS Med 2022; 19:e1003970. [PMID: 35472059 PMCID: PMC9041866 DOI: 10.1371/journal.pmed.1003970] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 03/18/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The global epidemic of type 2 diabetes mellitus (T2DM) renders its prevention a major public health priority. A key risk factor of diabetes is obesity and poor diets. Food environments have been found to influence people's diets and obesity, positing they may play a role in the prevalence of diabetes. Yet, there is scant evidence on the role they may play in the context of low- and middle-income countries (LMICs). We examined the associations of food environments on T2DM among adults and its heterogeneity by income and sex. METHODS AND FINDINGS We linked individual health outcome data of 12,167 individuals from a network of health surveillance sites (the South Asia Biobank) to the density and proximity of food outlets geolocated around their homes from environment mapping survey data collected between 2018 and 2020 in Bangladesh and Sri Lanka. Density was defined as share of food outlets within 300 m from study participant's home, and proximity was defined as having at least 1 outlet within 100 m from home. The outcome variables include fasting blood glucose level, high blood glucose, and self-reported diagnosed diabetes. Control variables included demographics, socioeconomic status (SES), health status, healthcare utilization, and physical activities. Data were analyzed in ArcMap 10.3 and STATA 15.1. A higher share of fast-food restaurants (FFR) was associated with a 9.21 mg/dl blood glucose increase (95% CI: 0.17, 18.24; p < 0.05). Having at least 1 FFR in the proximity was associated with 2.14 mg/dl blood glucose increase (CI: 0.55, 3.72; p < 0.01). A 1% increase in the share of FFR near an individual's home was associated with 8% increase in the probability of being clinically diagnosed as a diabetic (average marginal effects (AMEs): 0.08; CI: 0.02, 0.14; p < 0.05). Having at least 1 FFR near home was associated with 16% (odds ratio [OR]: 1.16; CI: 1.01, 1.33; p < 0.05) and 19% (OR: 1.19; CI: 1.03, 1.38; p < 0.05) increases in the odds of higher blood glucose levels and diagnosed diabetes, respectively. The positive association between FFR density and blood glucose level was stronger among women than men, but the association between FFR proximity and blood glucose level was stronger among men as well as among those with higher incomes. One of the study's key limitations is that we measured exposure to food environments around residency geolocation; however, participants may source their meals elsewhere. CONCLUSIONS Our results suggest that the exposure to fast-food outlets may have a detrimental impact on the risk of T2DM, especially among females and higher-income earners. Policies should target changes in the food environments to promote better diets and prevent T2DM.
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Affiliation(s)
- Dian Kusuma
- Centre for Health Economics Policy Innovation, Imperial College Business School, London, United Kingdom
| | - Petya Atanasova
- Centre for Health Economics Policy Innovation, Imperial College Business School, London, United Kingdom
| | - Elisa Pineda
- Centre for Health Economics Policy Innovation, Imperial College Business School, London, United Kingdom
- School of Public Health, Imperial College London, United Kingdom
| | | | | | - Abu AM Hanif
- Centre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh
| | - Mehedi Hasan
- Centre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh
| | - Md. Mokbul Hossain
- Centre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh
| | | | | | | | | | | | | | | | - Malay K Mridha
- Centre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh
| | | | - John C Chambers
- School of Public Health, Imperial College London, United Kingdom
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Gary Frost
- Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Franco Sassi
- Centre for Health Economics Policy Innovation, Imperial College Business School, London, United Kingdom
- Department of Economics and Public Policy, Imperial College Business School, London, United Kingdom
| | - Marisa Miraldo
- Centre for Health Economics Policy Innovation, Imperial College Business School, London, United Kingdom
- Department of Economics and Public Policy, Imperial College Business School, London, United Kingdom
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Liangruenrom N, Craike M, Biddle SJH, Suttikasem K, Pedisic Z. Correlates of physical activity and sedentary behaviour in the Thai population: a systematic review. BMC Public Health 2019; 19:414. [PMID: 30991973 PMCID: PMC6469108 DOI: 10.1186/s12889-019-6708-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Accepted: 03/27/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Given the importance of knowing the potential impediments and enablers for physical activity (PA) and sedentary behaviour (SB) in a specific population, the aim of this study was to systematically review and summarise evidence on individual, social, environmental, and policy correlates of PA and SB in the Thai population. METHODS A systematic review of articles written in Thai and English was conducted. Studies that reported at least one correlate for PA and/or SB in a healthy Thai population were selected independently by two authors. Data on 21 variables were extracted. The methodological quality of the included studies was assessed using the Newcastle-Ottawa Scale. RESULTS A total of 25,007 records were screened and 167 studies were included. The studies reported associations with PA for a total of 261 variables, mostly for adults and older adults. For most of the variables, evidence was available from a limited number of studies. Consistent evidence was found for individual-level and social correlates of PA in children/adolescents and adults and for individual-level correlates of PA in older adults. Self-efficacy and perceived barriers were consistently associated with PA in all age groups. Other consistently identified individual-level correlates in adults and older adults included self-rated general health, mental health, perceived benefits, and attitudes towards PA. Consistent evidence was also found for social correlates of PA in adults, including social support, interpersonal influences, parent/family influences, and information support. The influence of friendship/companionship was identified as a correlate of PA only in children/adolescents. A limited number of studies examined SB correlates, especially in older adults. The studies reported associations with SB for a total of 41 variables. Consistent evidence of association with SB was only found for obesity in adults. Some evidence suggests that male adults engage more in SB than females. CONCLUSIONS More Thai studies are needed on (i) PA correlates, particularly among children/adolescents, and that focus on environment- and policy-related factors and (ii) SB correlates, particularly among older adults. Researchers are also encouraged to conduct longitudinal studies to provide evidence on prospective and causal relationships, and subject to feasibility, use device-based measures of PA and SB.
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Affiliation(s)
- Nucharapon Liangruenrom
- 0000 0001 0396 9544grid.1019.9Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC 8001 Australia
- 0000 0004 1937 0490grid.10223.32Institute for Population and Social Research, Mahidol University, Phutthamonthon Sai 4 Road, Salaya, Phutthamonthon, Nakhon Pathom, 73170 Thailand
| | - Melinda Craike
- 0000 0001 0396 9544grid.1019.9Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC 8001 Australia
- 0000 0001 0396 9544grid.1019.9Australian Health Policy Collaboration, Victoria University, PO Box 14428, Melbourne, VIC 8001 Australia
| | - Stuart J. H. Biddle
- 0000 0004 0473 0844grid.1048.dInstitute for Resilient Regions, University of Southern Queensland, Education City, 37 Sinnathamby Boulevard, Springfield Central, QLD 4300 Australia
| | - Kanyapat Suttikasem
- 0000 0004 1937 0490grid.10223.32Institute for Population and Social Research, Mahidol University, Phutthamonthon Sai 4 Road, Salaya, Phutthamonthon, Nakhon Pathom, 73170 Thailand
| | - Zeljko Pedisic
- 0000 0001 0396 9544grid.1019.9Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC 8001 Australia
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Liangruenrom N, Suttikasem K, Craike M, Bennie JA, Biddle SJH, Pedisic Z. Physical activity and sedentary behaviour research in Thailand: a systematic scoping review. BMC Public Health 2018; 18:733. [PMID: 29898706 PMCID: PMC6001063 DOI: 10.1186/s12889-018-5643-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Accepted: 05/31/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The number of deaths per year attributed to non-communicable diseases is increasing in low- and middle-income countries, including Thailand. To facilitate the development of evidence-based public health programs and policies in Thailand, research on physical activity (PA) and sedentary behaviour (SB) is needed. The aims of this scoping review were to: (i) map all available evidence on PA and SB in Thailand; (ii) identify research gaps; and (iii) suggest directions for future research. METHODS A systematic literature search was conducted through 10 bibliographic databases. Additional articles were identified through secondary searches of reference lists, websites of relevant Thai health organisations, Google, and Google Scholar. Studies written in Thai or English were screened independently by two authors and included if they presented quantitative or qualitative data relevant to public health research on PA and/or SB. RESULTS Out of 25,007 screened articles, a total of 564 studies were included in the review. Most studies included PA only (80%), 6.7% included SB only, and 13.3% included both PA and SB. The most common research focus was correlates (58.9%), followed by outcomes of PA/SB (22.2%), prevalence of PA/SB (12.4%), and instrument validation (3.2%). Most PA/SB research was cross-sectional (69.3%), while interventions (19.7%) and longitudinal studies (2.8%) were less represented. Most studies (94%) used self-reports of PA/SB, and few (2.5%) used device-based measures. Both sexes were examined in most studies (82.5%). Adults were the main target population group (51.1%), followed by older adults (26.9%), adolescents (15.7%), and children (6.3%). Clinical populations were investigated in the context of PA/SB in a relatively large number of studies (15.3%), most frequently those with cardiovascular disease, diabetes, and hypertension (22%, 21%, and 21% respectively). CONCLUSIONS The number of Thai papers on PA published per year has been increasing, indicating a growing interest in this research area. More studies using population-representative samples are needed, particularly among children and adolescents, and investigating SB as a health risk factor. To provide stronger evidence on determinants and outcomes of PA/SB, longitudinal studies using standardised measures of PA and SB are required.
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Affiliation(s)
- Nucharapon Liangruenrom
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC 8001 Australia
- Institute for Population and Social Research, Mahidol University, Phutthamonthon Sai 4 Road, Salaya, Phutthamonthon, Nakhon Pathom, 73170 Thailand
| | - Kanyapat Suttikasem
- Institute for Population and Social Research, Mahidol University, Phutthamonthon Sai 4 Road, Salaya, Phutthamonthon, Nakhon Pathom, 73170 Thailand
| | - Melinda Craike
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC 8001 Australia
| | - Jason A. Bennie
- Institute for Resilient Regions, University of Southern Queensland, Education City, 37 Sinnathamby Boulevard, Springfield Central, QLD 4300 Australia
| | - Stuart J. H. Biddle
- Institute for Resilient Regions, University of Southern Queensland, Education City, 37 Sinnathamby Boulevard, Springfield Central, QLD 4300 Australia
| | - Zeljko Pedisic
- Institute for Health and Sport, Victoria University, PO Box 14428, Melbourne, VIC 8001 Australia
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