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Body-mass index, waist-size, waist-hip ratio and cardiovascular risk factors in urban subejcts.
J Assoc Physicians India. 2007 Sep; 55:621-7.JA

Abstract

BACKGROUND AND OBJECTIVE

Influence of obesity as determinant of cardiovascular risk factors has not been well studied. To determine association of obesity, measured by body-mass index (BMI), waist-size or waist-hip ratio (WHR), with multiple risk factors in an urban Indian population we performed an epidemiological study.

METHODS

Randomly selected adults > or = 20 years were studied using stratified sampling. Target sample was 1800 (men 960, women 840). 1123 subjects (response 62.4%) were evaluated and blood samples were available in 532 men and 559 women (n=1091, response 60.6%). Measurement of anthropometric variables, blood pressure, fasting blood glucose and lipids was performed. Atherosclerosis risk factors were determined using current guidelines. Pearson's correlation coefficients (r) of BMI, waist and WHR with various risk factors were determined. BMI was categorized into five groups: <20.0 Kg/m2, 20.0-22.9, 23.0-24.9, 25.0-29.9, and > or = 30 Kg/m2; waist size was divided into five groups and WHR into six groups in both men and women. Prevalence of cardiovascular risk factors, smoking, hypertension, diabetes, metabolic syndrome and dyslipidaemias was determined in each group and trends analyzed using least-squares regression.

RESULTS

There is a significant positive correlation of BMI, waist-size and WHR with systolic BP (r= 0.46 to 0.13), diastolic BP (0.42 to 0.16), fasting glucose (0.15 to 0.26), and LDL cholesterol (0.16 to 0.03) and negative correlation with physical activity and HDL cholesterol (-0.22 to -0.08) in both men and women (p<0.01). With increasing BMI, waist-size and WHR, prevalence of hypertension, diabetes, and metabolic syndrome increased significantly (p for trend <0.05). WHR increase also correlated significantly with prevalence of high total and LDL cholesterol and triglycerides (p <0.05).

CONCLUSIONS

There is a continuous positive relationship of all markers of obesity (body-mass index, waist size and waist hip ratio) with major coronary risk factors- hypertension, diabetes and metabolic syndrome while WHR also correlates with lipid abnormalities.

Authors+Show Affiliations

Department of Medicine, Monilek Hospital and Research Centre, Jawahar Nagar, Jaipur 302004, India.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

18051732

Citation

Gupta, R, et al. "Body-mass Index, Waist-size, Waist-hip Ratio and Cardiovascular Risk Factors in Urban Subejcts." The Journal of the Association of Physicians of India, vol. 55, 2007, pp. 621-7.
Gupta R, Rastogi P, Sarna M, et al. Body-mass index, waist-size, waist-hip ratio and cardiovascular risk factors in urban subejcts. J Assoc Physicians India. 2007;55:621-7.
Gupta, R., Rastogi, P., Sarna, M., Gupta, V. P., Sharma, S. K., & Kothari, K. (2007). Body-mass index, waist-size, waist-hip ratio and cardiovascular risk factors in urban subejcts. The Journal of the Association of Physicians of India, 55, 621-7.
Gupta R, et al. Body-mass Index, Waist-size, Waist-hip Ratio and Cardiovascular Risk Factors in Urban Subejcts. J Assoc Physicians India. 2007;55:621-7. PubMed PMID: 18051732.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Body-mass index, waist-size, waist-hip ratio and cardiovascular risk factors in urban subejcts. AU - Gupta,R, AU - Rastogi,Priyanka, AU - Sarna,M, AU - Gupta,V P, AU - Sharma,S K, AU - Kothari,K, PY - 2007/12/7/pubmed PY - 2008/1/9/medline PY - 2007/12/7/entrez SP - 621 EP - 7 JF - The Journal of the Association of Physicians of India JO - J Assoc Physicians India VL - 55 N2 - BACKGROUND AND OBJECTIVE: Influence of obesity as determinant of cardiovascular risk factors has not been well studied. To determine association of obesity, measured by body-mass index (BMI), waist-size or waist-hip ratio (WHR), with multiple risk factors in an urban Indian population we performed an epidemiological study. METHODS: Randomly selected adults > or = 20 years were studied using stratified sampling. Target sample was 1800 (men 960, women 840). 1123 subjects (response 62.4%) were evaluated and blood samples were available in 532 men and 559 women (n=1091, response 60.6%). Measurement of anthropometric variables, blood pressure, fasting blood glucose and lipids was performed. Atherosclerosis risk factors were determined using current guidelines. Pearson's correlation coefficients (r) of BMI, waist and WHR with various risk factors were determined. BMI was categorized into five groups: <20.0 Kg/m2, 20.0-22.9, 23.0-24.9, 25.0-29.9, and > or = 30 Kg/m2; waist size was divided into five groups and WHR into six groups in both men and women. Prevalence of cardiovascular risk factors, smoking, hypertension, diabetes, metabolic syndrome and dyslipidaemias was determined in each group and trends analyzed using least-squares regression. RESULTS: There is a significant positive correlation of BMI, waist-size and WHR with systolic BP (r= 0.46 to 0.13), diastolic BP (0.42 to 0.16), fasting glucose (0.15 to 0.26), and LDL cholesterol (0.16 to 0.03) and negative correlation with physical activity and HDL cholesterol (-0.22 to -0.08) in both men and women (p<0.01). With increasing BMI, waist-size and WHR, prevalence of hypertension, diabetes, and metabolic syndrome increased significantly (p for trend <0.05). WHR increase also correlated significantly with prevalence of high total and LDL cholesterol and triglycerides (p <0.05). CONCLUSIONS: There is a continuous positive relationship of all markers of obesity (body-mass index, waist size and waist hip ratio) with major coronary risk factors- hypertension, diabetes and metabolic syndrome while WHR also correlates with lipid abnormalities. SN - 0004-5772 UR - https://www.unboundmedicine.com/medline/citation/18051732/Body_mass_index_waist_size_waist_hip_ratio_and_cardiovascular_risk_factors_in_urban_subejcts_ DB - PRIME DP - Unbound Medicine ER -