Feasibility of anthropometric indices to identify dyslipidemia among adults in Jilin Province: a cross-sectional study

Abstract

BackgroundDyslipidemia and other cardiovascular disease (CVD) risk factors have a strong association with obesity. Anthropometric indices have been widely used to evaluate obesity in clinical and epidemiological studies. We aim to investigate association between serum lipid levels and different anthropometric indices.MethodsOur study included 17,554 participants. We mainly investigated area under the receiver operating characteristic (AUROC) curves and optimal operating points (OOPs) between the anthropometric indices and serum lipid levels or categories of abnormal serum lipid indices.ResultsFor predicting one/two categories of abnormal serum lipid indices among the anthropometric indices, AUROC value of WC was the highest in men (0.718), and AUROC values of BRI and WHtR were the highest in women (0.700 and 0.700) (all P < 0.001); OOP of WC was 82.450 in men; OOPs of BRI and WHtR were 3.435 and 0.504 in women. For predicting three/more categories of abnormal serum lipid indices among the anthropometric indices, AUROC value of WC was the highest in men (0.806), and AUROC values of BRI and WHtR were the highest in women (0.783 and 0.783) (all P < 0.001); OOP of WC was 84.150 in men; OOPs of BRI and WHtR were 3.926 and 0.529 in women.ConclusionsWC was a good predictor for one/two or three/more categories of abnormal serum lipid indices in men. However, BRI and WHtR were good predictors for one/two or three/more categories of abnormal serum lipid indices in women. ABSI showed the weakest predictive power.Electronic supplementary materialThe online version of this article (10.1186/s12944-017-0648-6) contains supplementary material, which is available to authorized users.

<p>Adiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity</p>

“…BMI is the most widely used measure to diagnose overweight and obesity, whereas WC and WHtR better indicator of intraabdominal fat, have been suggested to be more accurate to predict CM than BMI. 24,25,27,[38][39][40] Results of the current study demonstrated a significant correlation between most of the anthropometric indicators of adiposity and CM risk parameters. The strongest associations were observed with WHtR and WC.…”

“…Evidence from numerous studies demonstrated the association between adiposity and the risk of certain noncommunicable diseases. [24][25][26][27][28] Different body adiposity indicators were associated with CM risk. 12, [29][30][31][32][33][34][35][36][37] The major anthropometric indicators used to predict the CM risk include BMI, WHtR, and WC.…”

“…12 Similar results have been reported by other studies. 24,25,27,41 Recently, several meta-analysis have been published comparing BMI, WC and WHtR with BMI to elucidate their association with CM. 38,42,43 In a meta-analysis, Ashwell et al reported the superiority of WHtR over WC and BMI for detecting CM risk factors in both sexes.…”

Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta‐analysis

“…However, BRI is limited in predicting percentage of fat mass in elite athletes when compared with other commonly and readily available field methods such as bio‐impedance analysis or skinfold prediction models 63 . Several recent studies have shown that BRI could be used as an adipose indicator for determining the presence of eccentric left ventricular hypertrophy, 64 hyperuricaemia, 41,65 arterial stiffness, 66–69 CVD, 70,71 diabetes, 41,72–75 dyslipidaemia, 41,76–78 hypertension 41,79,80 and MetS 41–55 …”

Capacity of a body shape index and body roundness index to identify diabetes mellitus in Han Chinese people in Northeast China: a cross‐sectional study

“…Notably, the amount and distribution of VAT and SAT determine different body shapes [19]. We have previously shown that BRI is a good predictor for categories of abnormality based on either one/two serum lipid indices or three/more serum lipid indices in women and that ABSI has the weakest predictive power [20]. In the present study, we further investigated the capacity of the ABSI and BRI to identify people with diabetes, and determined whether ABSI and/or BRI was superior to the traditional overall adiposity index, BMI, in Northeast China.…”