Key result
Anthropometric obesity indices linked to significantly lower HDL, with waist-to-height ratio tied to higher SBP.
Why the study?
Overweight and obesity contribute to cardiovascular risk factors, motivating an investigation into the association between cardiovascular risk factors and anthropometric parameters in adults with overweight or obesity.
Are anthropometric parameters (BMI, WC, WHR, WHtR) associated with cardiovascular risk factors (lipid profile, glycemic indices, blood pressure, and inflammatory markers) in adults with overweight or obesity?
Cross-Sectional (n=909)
Individuals responsible for registering information and analyzing the specific details of the participants were completely blinded to the study
No
Are anthropometric parameters (BMI, WC, WHR, WHtR) associated with cardiovascular risk factors (lipid profile, glycemic indices, blood pressure, and inflammatory markers) in adults with overweight or obesity?
In overweight and obese Iranian adults, different anthropometric indices show variable associations with cardiometabolic risk factors after adjusting for age and sex, with WHtR correlating with systolic blood pressure and all indices inversely associating with HDL.
These associations should not yet guide risk assessment in overweight adults; leaves open longitudinal validation of anthropometric links to HDL and SBP.
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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Hasani et al. (2026) conducted a cross-sectional in Overweight or obesity (n=909). Anthropometric parameters (BMI, WC, WHR, WHtR) was evaluated on Association between anthropometric indices (BMI, WC, WHR, WHtR) and cardiovascular risk factors (lipid profile, glycemic factors, blood pressure, and inflammatory indices) in adjusted models (B -3.77 to -3.72 for HDL across indices; B -0.66 for LDL/HDL with BMI; B 10.18 for SBP with WHtR, p=<0.001 for HDL; 0.05 for LDL/HDL with BMI; 0.04 for SBP with WHtR). Anthropometric indices (BMI, WC, WHR, WHtR) were inversely associated with HDL (p < 0.001) after age and sex adjustment, while WHtR associated with SBP (B = 10.18, p = 0.04).
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