Key result
Waist circumference links more strongly to lipid parameters than BMI in healthy adults.
Why the study?
Prevalence of overweight and obesity has increased in developing countries and is related to cardiovascular risk factors, necessitating simple anthropometric tools to reflect altered lipid profiles.
Which anthropometric variable best correlates with lipid profile in healthy subjects?
Cross-Sectional (n=1,187)
Which anthropometric variable best correlates with lipid profile in healthy subjects?
Waist circumference is a simple and reliable anthropometric variable that best reflects the lipid profile in healthy subjects, making it a useful tool in resource-limited settings.
May inform lipid risk evaluation in healthy adults; leaves open prospective validation for cardiovascular outcomes.
BACKGROUND: Cardiovascular diseases constitute one class of common contributors to morbidity and mortality worldwide. Prevalence of overweight and obesity has dramatically increased in developing countries and is related to cardiovascular risk factors. Anthropometric parameters have the advantages in daily clinical practice of being a simple to measure tool with good reproducibility, especially in a developing country like India. Aim of this study is to correlate some anthropometric variables with lipid parameters in healthy subjects and to assess the anthropometric variable which best reflects the altered lipid profile. MATERIALS AND METHODS: A hospital based cross-sectional study was conducted after the Institutional Ethical Committee Clearance. Included participants (1187) were subjected to anthropometric measurements such as height, weight, waist circumference (WC), and hip circumference using standard procedures on the same morning of the day, as the blood sample was collected after overnight fast and estimated for fasting blood sugar and lipid profile. RESULTS: There is a weak correlation between body mass index (BMI) and lipid parameters. Among all the anthropometric variables studied, WC is best correlated to lipid parameters. The mean values of lipid parameters were not significantly different in BMI <25 and BMI ≥25 groups. CONCLUSIONS: WC remains one of the simple and reliable variables which best reflects the lipid profile. In a developing country like India, where measurement of cardiovascular risk factors such as body fat saturation and lipid profile remains difficult in the rural population, WC may be used as an effective tool, without being used as a substitute.
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Manjareeka et al. (2015) conducted a cross-sectional in Healthy subjects (n=1,187). Anthropometric variables (waist circumference, BMI) was evaluated on Correlation between anthropometric variables and lipid parameters. Waist circumference was the anthropometric variable best correlated with lipid parameters in healthy subjects, whereas body mass index showed only a weak correlation.
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