[Differences between anthropometric indices in predicting dyslipidemia in Chinese urban adult population and finding optimal cut-off points].

OBJECTIVE

To assess the differences between anthropometric indices in predicting dyslipidemia in Chinese urban adult population and find optimal cut-off points.

METHODS

A total of 1615 subjects with information on key variables were enrolled by multistage stratified sampling process from March to July in 2016. Information on sociodemographic characteristics( age, gender, nationality, education and income), and health and disease history of subjects was collected. Height, weight, waist circumference( WC), hip circumference, body fat percentage( % Fat), and fasting lipid profiles were measured for each participant. The receiver operating characteristic( ROC) curve was used to compare the efficacy of the various anthropometric indices to discriminate those with and without dyslipidemia.

RESULTS

Waist-to-height ratio( WHtR) had the largest area under the ROC curve( AUC) for dyslipidemia in women( 0. 744). There weresignificant differences between AUC of WHtR and that of WC( P = 0. 008), body mass index( BMI, P = 0. 004), waist-to-hip ratio( WHR, P = 0. 005), and % Fat( P <0. 001) in pairwise comparisons. Cut-off point for WHtR was 0. 50 for dyslipidemia in urban adult women. Although the AUC for BMI was the highest for dyslipidemia in men, it did not differ significantly from other indices( P all > 0. 05). Cut-off point for BMI was24. 1 kg/m~2 for dyslipidemia in urban adult men.

CONCLUSION

WHtR and BMI might be optimal indices for dyslipidemia for Chinese urban adult women and men, respectively. Regional and sexual differences should be considered when choosing proper indices.