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Updated: Jul 13, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Association of cardiovascular risk factors in different anthropometric parameters in overweight or obese adults
Motahareh Hasani1,2, Leila Sheikhi3, Soodeh Razeghi Jahromi4
1Department of Nutritional Sciences, School of Health, Golestan University of Medical Sciences, Gorgan, Iran.
Background:
Since overweight and obesity stands as a factor to the development of cardiovascular risk factors and the importance of targeted interventions to address their intertwined impact on public health, this investigation aimed to discover the association between cardiovascular risk factors and anthropometric parameters in adults with overweight or obesity.
Materials And Methods:
This cross-sectional study evaluated 909 overweight or obese participants from Obesity Clinic and Minimally Invasive Surgery Research Center at Sinai Hospital. The participants were examined for lipid profile, glycemic index, and inflammatory indices. Anthropometric parameters were measured according to the World Health Organization (WHO) protocols. Linear and logistic regression methods were used to examine the relationship between various variables.
Result:
In the adjusted model, a significant negative association was observed between the LDL/HDL ratio and BMI (p = 0.05), whereas HDL showed a positive association with all anthropometric measures. No significant association was found between WC and the variables in the adjusted model. In the unadjusted model, QUICKI demonstrated significant associations with all anthropometric indices, similar to FBS and ESR. Despite, SBP demonstrated a significant association with WHtR (p = 0.04). Furthermore, LDL, insulin and HbA1c showed no significant associations with any of the anthropometric measures in either model (p > 0.05).
Conclusion:
In conclusion, anthropometric indices may provide useful, though variable, insights into cardiovascular risk factors among overweight and obese individuals. Further research with larger samples and longitudinal design is needed to clarify these associations.
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