Impacts of urbanisation on the lifestyle and on the prevalence of diabetes in native Asian Indian population

Ramachandran, Ambady; Snehalatha, Chamukuttan; Latha, E.; Manoharan, M.; Vijay, V.

doi:10.1016/s0168-8227(99)00024-8

Cited by 126 publications

(92 citation statements)

References 8 publications

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“…The influence of urban facilities penetrating into PUVs was evident in two of our previous studies (1,16). Urbanization in India is expected to reach 46% by 2030 (11); therefore, in the future a larger contribution to the diabetic population would be from rural areas.…”

Section: Resultsmentioning

confidence: 83%

“…Previous studies in Chennai (13) and in periurban areas (1,16) showed an IGTto-diabetes ratio of Ͼ1, indicating a large pool of pre-diabetic subjects. Prevalence of IGT and its proportion to prevalence of diabetes will depend on the stage of the epidemic, the rapidity of conversion to diabetes, and the maximum attainable prevalence of diabetes in the population.…”

mentioning

confidence: 84%

“…By census definition, the selected PUVs are rural areas; however, due to proximity to town, the poplation has accessibility to urban facilities. Chennai city was chosen because data from previous surveys were available (3,12,13,16) and the temporal changes could be assessed. Kanchipuram is a typical town in India, 80 km away from Chennai.…”

Section: Research Design and Methods -mentioning

confidence: 99%

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High Prevalence of Diabetes and Cardiovascular Risk Factors Associated With Urbanization in India

et al. 2008

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OBJECTIVE -To compare prevalence of diabetes, impaired glucose tolerance (IGT), impaired fasting glucose (IFG), and cardiovascular risk factors between a city, a town, and periurban villages (PUVs) in southern India and to look for temporal changes in the city and PUVs.RESEARCH DESIGN AND METHODS -Subjects aged Ն20 years were studied in Tamilnadu, India, in Chennai (city, n ϭ 2,192; 1,053 men and 1,138 women), Kanchipuram (town, n ϭ 2,290; 988 men and 1,302 women), and Panruti (PUVs, n ϭ 2,584; 1,280 men and 1,304 women) in 2006. Demographic, socioeconomic, and anthropometric details; blood pressure; physical activity; diet habits; and lipids were studied. Risk associations with diabetes were analyzed using multiple logistic regression analyses. Present and previous data in the city and the PUVs were compared.RESULTS -Mean BMI, waist circumference, and family history of diabetes were significantly lower in the PUVs. The PUVs had a lower prevalence of diabetes (9.2 [95% CI 8.0 -10.5], P Ͻ 0.0001) than the city (18.6 [16.6 -20.5]) and town (16.4 [14.1-18.6]). Approximately 40% of subjects were newly diagnosed. Prevalence of impaired glucose tolerance (IGT) was higher (P Ͻ 0.0001) in the city (7.4 [6.2-8.5]) than in the town (4.3 [3.3-5.3]) and the PUVs (5.5 [4.6 -6.5]). Prevalence of IFG was generally low. Age, family history, and waist circumference were significantly associated with diabetes, while physical activity was not. Overweight, elevated waist circumference, hypertension, and dyslipidemia were more prevalent in the city.CONCLUSIONS -In the city, diabetes increased from 13.9 to 18.6% in 6 years and IGT decreased significantly. The town and city had similar prevalences; the PUVs had lower diabetes prevalence, but prevalence had increased compared with that in a previous survey. Cardiometabolic abnormalities were more prevalent in urban populations.

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Section: Resultsmentioning

confidence: 83%

mentioning

confidence: 84%

Section: Research Design and Methods -mentioning

confidence: 99%

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High Prevalence of Diabetes and Cardiovascular Risk Factors Associated With Urbanization in India

et al. 2008

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“…Increasing urbanisation tends to lead to lower physical activity worldwide [29]. The impact of urbanisation and its influence on life-style has been shown in an earlier study [8].…”

Section: Discussionmentioning

confidence: 81%

“…Height and weight were measured and BMI was calculated (wt in kg/ht in m 2 ). Waist and hip measurements were made and waist-to-hip ratio (WHR) was calculated by standard procedures reported previously [7,8]. The cutoff values for normal were derived from the non-diabetic, healthy southern Indians as mentioned in an earlier study [7].…”

Section: Methodsmentioning

confidence: 99%