Int J Obes (Lond). 2025 Dec 10. doi: 10.1038/s41366-025-01947-7. Online ahead of print.
ABSTRACT
OBJECTIVE: Obesity is a key risk factor for cardiovascular disease (CVD), diabetes, and dyslipidemia. However, global anthropometric thresholds like those established by the World Health Organization (WHO) may inadequately capture the health risks associated with obesity in specific populations. This study aimed to derive population- and sex-specific anthropometric cut-points to better predict obesity and CVD risk and assess obesity misclassification among Qatari adults.
METHODS: Using a cross-sectional sample of 6000 participants from the Qatar Biobank (QBB), we applied receiver operating characteristic (ROC) curve analyses to identify cut-points for anthropometric indices that align with body fat percentage (%BF) and disease-specific thresholds for elevated blood pressure (EBP), diabetes, and dyslipidemia. Misclassification analyses examined the limitations of WHO-recommended cut-points compared to ROC-derived thresholds.
RESULTS: The study sample consisted of relatively young adults with high levels of adiposity. Our findings reveal that the optimal body mass index (BMI) cut points were 25.2 kg/m² for males and 24.8 kg/m² for females. Similarly, WC cut-points were 84.3 cm for males and 74.5 cm for females, also lower than global standards. Disease-specific thresholds varied, highlighting the unique biological pathways underlying EBP, diabetes, and dyslipidemia Misclassification analyses showed that 54.6% of males and 43.0% of females were misclassified using the WHO BMI cut point. Higher misclassification rates were observed for WC in females, where 87.5% of females with obesity by %BF were misclassified without obesity using WHO WC thresholds.
CONCLUSION: These results highlighted the differences of global anthropometric thresholds and the need for population-specific measures to improve obesity and CVD risk classification in an Arab sample. Our study derived tailored cut-points for clinical and public health use in Qatar, as a tool to improve screening and diagnostics for timely obesity and disease intervention in this population.
PMID:41366056 | DOI:10.1038/s41366-025-01947-7