Deriving sex-specific anthropometric cut-points for obesity and cardiovascular disease risk in Qatari adults
Authors' 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.
Study context
- Population
- Qatari adults from the Qatar Biobank (QBB); relatively young adults with high levels of adiposity
- Participants
- 6,000 adults
- Exposure
- ROC-derived sex-specific anthropometric cut-points vs World Health Organization (WHO)-recommended cut-points
- Outcome
- Optimal sex-specific anthropometric cut-points aligned with body fat percentage (%BF) and disease-specific thresholds for elevated blood pressure, diabetes and dyslipidemia
Methodological detailsROC curve analyses, misclassification analyses
- ROC curve analyses
- Misclassification analyses
Main finding
As reported in the abstract
Optimal body mass index (BMI) cut point, males
25.2 kg/m²
Optimal BMI cut point, females
24.8 kg/m²
WC cut-point, males (lower than global standards)
84.3 cm
WC cut-point, females (lower than global standards)
74.5 cm
Observational data: associations, not effects.
Further findings
Misclassification using WHO cut-points
- Misclassified using WHO BMI cut point, males
- 54.6%
- Misclassified using WHO BMI cut point, females
- 43.0%
- Females with obesity by %BF misclassified without obesity using WHO WC thresholds
- 87.5%
Original publication
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