2007
DOI: 10.2337/dc06-2097
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Insulin Resistance and Clustering of Cardiometabolic Risk Factors in Urban Teenagers in Southern India

Abstract: OBJECTIVE -We sought to study the occurrence of cardiometabolic risk variables, their clustering, and their association with insulin resistance among healthy adolescents in urban south India.RESEARCH DESIGN AND METHODS -School children aged 12-19 years (n ϭ 2,640; 1,323 boys and 1,317 girls) from diverse socioeconomic backgrounds were studied. Demographic, social, and medical details were obtained; anthropometry and blood pressure were measured. Fasting plasma glucose, insulin, and lipid profiles were measured… Show more

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Cited by 75 publications
(65 citation statements)
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“…Our recent study in adolescents showed a high prevalence of insulin resistance and cardiovascular risk factors; 65% of normal weight and 85% of overweight children and adolescents showed presence of at least one cardiovascular risk factor (15). Whereas many studies in white teenagers had demonstrated such abnormalities in obese subjects (10), we observed these abnormalities even in nonobese subjects.…”
contrasting
confidence: 45%
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“…Our recent study in adolescents showed a high prevalence of insulin resistance and cardiovascular risk factors; 65% of normal weight and 85% of overweight children and adolescents showed presence of at least one cardiovascular risk factor (15). Whereas many studies in white teenagers had demonstrated such abnormalities in obese subjects (10), we observed these abnormalities even in nonobese subjects.…”
contrasting
confidence: 45%
“…METHODS -A school-based crosssectional survey of 2,640 teenagers (1,323 boys and 1,317 girls) aged 12-19 years from 16 schools in Chennai, India, was done (15). Approximately 200 subjects of the cohort were selected for this analysis, which had an equal number of boys and girls of normal weight and overweight, with a fair representation of agegroups.…”
Section: Research Design Andmentioning
confidence: 99%
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“…In contrast to this approach, some studies have reported clustering of MS risk using factor analyses or principle component analyses, where cumulative risk score is generated to identify independent correlates of risk. 19,29 Reports of previous cross-sectional studies have also suggested the advantage of cMetS as being statistically more sensitive and error proof as compared with binary classification. 9 Thus, the present study has used cMetS to investigate children with risk of atherosclerosis.…”
Section: Discussionmentioning
confidence: 99%
“…(47) In addition, increased waist circumference has been associated with substantially increased risk of developing diabetes (48,49) as well as increased risk of cardiovascular and all-cause mortality, independent of BMI. (50,51,52,53) In the 1980s, Japanese researchers first revealed that reduced early insulin response was an independent predictor for diabetes. (54) Fukushima et al (55) found that at all stages of glucose intolerance, Japanese individuals had reduced early and late phases of insulin responses.…”
Section: Diabetes In Asiamentioning
confidence: 99%