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Social factors and overweight: evidence from nine Asian INDEPTH Network sites
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine. India. (Epidemiologi och folkhälsovetenskap, Epidemiology and Public Health Sciences, Umeå university)ORCID iD: 0000-0003-0556-1483
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2009 (English)In: Global health action, ISSN 1654-9880, Vol. 2Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Overweight/obesity increases the risk of morbidity and mortality from a number of chronic conditions, including heart disease, stroke, diabetes and some cancers. This study examined the distribution of body mass index (BMI) in nine Health and Demographic Surveillance System (HDSS) sites in five Asian countries and investigated the association between social factors and overweight.

DATA AND METHODS: This cross-sectional study was conducted in nine HDSS sites in Bangladesh, India, Indonesia, Thailand and Vietnam. The methodology of the WHO STEPwise approach to Surveillance with core risk factors (Step 1) and physical measurements for weight, height and waist circumference (Step 2) were included. In each site, about 2,000 men and women aged 25-64 years were selected randomly using the HDSS database. Weight was measured using electronic scales, height was measured by portable stadiometers and waist circumference was measured by measuring tape. Overweight/obesity was assessed by BMI defined as the weight in kilograms divided by the square of the height in metres (kg/m(2)).

RESULTS: At least 10% people were overweight (BMI >/= 25) in each site except for the two sites in Vietnam and WATCH HDSS in Bangladesh where few men and women were overweight. After controlling for all the variables in the model, overweight increases with age initially and then declines, with increasing education, and with gender with women being heavier than men. People who eat vegetables and fruits below the recommended level and those who do high level of physical activity are, on the whole, less heavy than those who eat more and do less physical activity.

CONCLUSIONS: As the proportion of the population classified as being overweight is likely to increase in most sites and overweight varies by age, sex, and social and behavioural factors, behavioural interventions (physical exercise, healthy diet) should be developed for the whole population together with attention to policy around nutrition and the environment, in order to reduce the adverse effects of overweight on health.

Place, publisher, year, edition, pages
2009. Vol. 2
Keyword [en]
obesity, overweight, body mass index, risk factor surveillance, WHO STEPS, Asia
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:umu:diva-30586DOI: 10.3402/gha.v2i0.1991ISI: 000208160200009PubMedID: 20027257OAI: oai:DiVA.org:umu-30586DiVA: diva2:284764
Available from: 2010-01-08 Created: 2010-01-08 Last updated: 2015-04-29Bibliographically approved

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