1. Study on ability of non-invasive anthropometric indices to identify metabolically abnormal but normal weight individuals.
- Author
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Yang Dongli, Liu Tao, Yu Xinwen, Zhou Jie, Wang Li, Ren Lijun, and Ji Qiuhe
- Abstract
Objective To evaluate the ability of non-invasive anthropometric indices to identify metabolically abnormal but normal weight (MANW) individuals. Methods This was a cross-sectional retrospective study. The study population included participants aged 20 years and older with a normal body mass index (BMI) (18.5 kg/m² ≤BMI<24 kg/m²) from the China National Diabetes and Metabolic Disorders Study between 2007 and 2008. Several non-invasive anthropometric indices, including waist circumference (WC), BMI, waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), a body shape index (ABSI), and body roundness index (BRI), were collected or calculated and grouped into quartiles. Participants were categorized into metabolically normal and normal weight (MNNW) and MANW groups based on BMI and metabolic status. Differences between groups were compared using Student's t-test, Mann-Whitney U test, or chi-square test. Logistic regression models were used to examine the associations between anthropometric indices and MANW. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) analyses were performed to evaluate the diagnostic value of these indices for identifying MANW. Results A total of 15, 937 participants were included (5 657 men and 10 280 women). The prevalence of MANW was 22.2% (3 538/15 937) in the overall population. All six non-invasive anthropometric indices were significantly higher in the MANW group than in the MNNW group (P<0.05). Multivariable logistic regression analyses showed that all six anthropometric indices were influential factors for MANW (P<0.001) after adjusting for age, sex, cigarette smoking, alcohol drinking, ethnicity, educational background, residential area, and leisure-time physical activity. WHtR and BRI had the largest AUC values in both men (AUC=0.643, 95%CI 0.631-0.656) and women (AUC=0.679, 95%CI 0.670-0.688). In the overall population, each standard deviation (SD) increase in WHtR (OR=1.59, 95%CI 1.53-1.66) and BRI (OR=1.56, 95%CI 1.50-1.63) were significantly associated with MANW. Subgroup analyses further confirmed the associations between WHtR and BRI, and the presence of MANW. Conclusions Even among those with a normal weight, some are metabolically abnormal. BMI, WC, WHR, WHtR, ABSI, and BRI are positively associated with the presence of MANW. Given its ease of use in clinical practice and epidemiological surveys, WHtR could be a potentially effective factor for screening MANW individuals. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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