The double burden of malnutrition among adults in India: evidence from the National Family Health Survey-4 (2015-16)
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
OBJECTIVES: India still faces the burden of undernutrition and communicable diseases, and the prevalence of overweight/obesity is steadily increasing. The discourse regarding the dual burden of underweight and overweight/obesity has not yet been widely explored in both men and women. The present study assessed the determinants of underweight and overweight/obesity in India among adult men and women aged 15-49. METHODS: Population-based cross-sectional and nationally representative data from the National Family Health Survey-4 (2015-16), consisting of a sample of men and women, were analyzed. Stratified 2-stage sampling was used in the NFHS-4 study protocol. In the present study, bivariate and adjusted multinomial logistic regression analyses were performed to determine the correlates of underweight and overweight/obesity. RESULTS: The results suggested a persistently high prevalence of underweight coexisting with an increased prevalence of overweight/obesity in India. The risk of underweight was highest in the central and western regions and was also relatively high among those who used either smoking or smokeless tobacco. Overweight/obesity was more prevalent in urban areas, in the southern region, and among adults aged 35-49. Furthermore, level of education and wealth index were positively associated with overweight/obesity. More educated and wealthier adults were less likely to be underweight. CONCLUSIONS: In India, underweight has been prevalent, and the prevalence of overweight/obesity is increasing rapidly, particularly among men. The dual burden of underweight and overweight/obesity is alarming and needs to be considered; public health measures to address this situation must also be adopted through policy initiatives.
Abstract
OBJECTIVES: India still faces the burden of undernutrition and communicable diseases, and the prevalence of overweight/obesity is steadily increasing. The discourse regarding the dual burden of underweight and overweight/obesity has not yet been widely explored in both men and women. The present study assessed the determinants of underweight and overweight/obesity in India among adult men and women aged 15-49. METHODS: Population-based cross-sectional and nationally representative data from the National Family Health Survey-4 (2015-16), consisting of a sample of men and women, were analyzed. Stratified 2-stage sampling was used in the NFHS-4 study protocol. In the present study, bivariate and adjusted multinomial logistic regression analyses were performed to determine the correlates of underweight and overweight/obesity. RESULTS: The results suggested a persistently high prevalence of underweight coexisting with an increased prevalence of overweight/obesity in India. The risk of underweight was highest in the central and western regions and was also relatively high among those who used either smoking or smokeless tobacco. Overweight/obesity was more prevalent in urban areas, in the southern region, and among adults aged 35-49. Furthermore, level of education and wealth index were positively associated with overweight/obesity. More educated and wealthier adults were less likely to be underweight. CONCLUSIONS: In India, underweight has been prevalent, and the prevalence of overweight/obesity is increasing rapidly, particularly among men. The dual burden of underweight and overweight/obesity is alarming and needs to be considered; public health measures to address this situation must also be adopted through policy initiatives.
참고문헌 (32)
- Agrawal P, "Effects of sedentary lifestyle and dietary habits on body mass index change among adult women in India: findings from a follow-up study", Ecol Food Nutr, 52, pp.387~406 (2013)
- GBD 2015 Obesity Collaborators, "Health effects of overweight and obesity in 195 countries over 25 years", N Engl J Med, 377, pp.13~27 (2017)
- "Diet, nutrition and the prevention of chronic diseases: report of a joint WHO/FAO expert consultation" (2003)[URL]
- NCD Risk Factor Collaboration (NCD-RisC), "in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants", Lancet, 387, pp.1377~1396 (2016)
- Razak F, "Prevalence of body mass index lower than 16 among women in low-and middle-income countries", JAMA, 314, pp.2164~2171 (2015)
- Hasan M, "Double burden of malnutrition among Bangladeshi women: a literature review", Cureus, 9, pp.e1986~ (2017)
- Rawal LB, "Prevalence of underweight, overweight and obesity and their associated risk factors in Nepalese adults: data from a Nationwide Survey, 2016", PLoS One, 13, pp.e0205912~ (2018)
- Prospective Studies Collaboration, "Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies", Lancet, 373, pp.1083~1096 (2009)
- Hossain P, "Obesity and diabetes in the developing world--a growing challenge", N Engl J Med, 356, pp.213~215 (2007)
- India State-Level Disease Burden Initiative CVD Collaborators, "The changing patterns of cardiovascular diseases and their risk factors in the states of India: the Global Burden of Disease Study 1990-2016", Lancet Glob Health, 6, pp.e1339~e1351 (2018)
- Agborsangaya CB, "Multimorbidity prevalence in the general population: the role of obesity in chronic disease clustering", BMC Public Health, 13, pp.1161~ (2013)
- Arokiasamy P, "The impact of multimorbidity on adult physical and mental health in low- and middle-income countries: what does the study on global ageing and adult health (SAGE) reveal?", BMC Med, 13, pp.178~ (2015)
- Ferraro KF, "Body mass index and disability in adulthood: a 20-year panel study", Am J Public Health, 92, pp.834~840 (2002)
- Pednekar MS, "Association of body mass index with all-cause and cause-specific mortality: findings from a prospective cohort study in Mumbai (Bombay), India", Int J Epidemiol, 37, pp.524~535 (2008)
- Selvamani Y, "Socioeconomic patterns of underweight and its association with self-rated health, cognition and quality of life among older adults in India", PLoS One, 13, pp.e0193979~ (2018)
- Bhan N, "Socioeconomic patterning of chronic conditions and behavioral risk factors in rural South Asia: a multi-site cross-sectional study", Int J Public Health, 62, pp.1019~1028 (2017)
- Gouda J, "Overweight and obesity among women by economic stratum in urban India", J Health Popul Nutr, 32, pp.79~88 (2014)
- Rai RK, "Prospective cohort study of overweight and obesity among rural Indian adults: sociodemographic predictors of prevalence, incidence and remission", BMJ Open, 8, pp.e021363~ (2018)
- Chhabra P, "Distribution and determinants of body mass index of non-smoking adults in Delhi, India", J Health Popul Nutr, 25, pp.294~301 (2007)
- Subramanian SV, "Do burdens of underweight and overweight coexist among lower socioeconomic groups in India?", Am J Clin Nutr, 90, pp.369~376 (2009)
- "Int J Behav Nutr Phys Act", 2014, 26~
- Pednekar MS, "Association between tobacco use and body mass index in urban Indian population: implications for public health in India", BMC Public Health, 6, pp.70~ (2006)
- Shukla HC, "Descriptive epidemiology of body mass index of an urban adult population in western India", J Epidemiol Community Health, 56, pp.876~880 (2002)
- "Understanding geographic variations in BMI in India" (2011)[URL]
- Sengupta A, "Overweight and obesity prevalence among Indian women by place of residence and socio-economic status: contrasting patterns from ‘underweight states’ and ‘overweight states’ of India", Soc Sci Med, 138, pp.161~169 (2015)
- India State-Level Disease Burden Initiative Collaborators, "Nations within a nation: variations in epidemiological transition across the states of India, 1990-2016 in the Global Burden of Disease Study", Lancet, 390, pp.2437~2460 (2017)
- James KS, "India’s demographic change: opportunities and challenges", Science, 333, pp.576~580 (2011)
- "National Family Health Survey (NFHS-3)" (2007)[URL]
- Dallongeville J, "Cigarette smoking is associated with unhealthy patterns of nutrient intake: a meta-analysis", J Nutr, 128, pp.1450~1457 (1998)
- Jo YH, "Nicotinic receptor-mediated effects on appetite and food intake", J Neurobiol, 53, pp.618~632 (2002)
- Mineur YS, "Nicotine decreases food intake through activation of POMC neurons", Science, 332, pp.1330~1332 (2011)
- Basu S, "Relationship of soft drink consumption to global overweight, obesity, and diabetes: a cross-national analysis of 75 countries", Am J Public Health, 103, pp.2071~2077 (2013)
