Optimal cut points of waist circumference (WC) and visceral fat area (VFA) predicting for metabolic syndrome (MetS) in elderly population in the Korean Longitudinal Study on Health and Aging (KLoSHA).
ABSTRACT Optimal cut points of central obesity identifying subjects at risk for MetS were proposed ethnic-specifically, but have not been established yet. Of particular interest are the values for elderly persons, which have not been identified previously. We investigated the appropriate cut points of WC and VFA for elderly in a community-based cohort in Korea. We recruited 294 men and 313 women aged 65 or over who participated in the KLoSHA. A receiver operating characteristic (ROC) curve analysis was used to estimate the optimal cut points of WC and VFA indicative of MetS. The optimal cut points for predicting MetS were 87 cm for WC, 140 cm(2) for VFA in men, and 85 cm for WC, 100 cm(2) for VFA in women with the Youden index. Similar cut points were obtained with the closest-to-(0, 1) criterion except for VFA in men, which was 122 cm(2). When adjusted for age, exercise, smoking, and alcohol consumption, men with ≥122 cm(2) and women with ≥100 cm(2) of VFA had a higher risk of MetS than subjects with lower values. The cut points of VFA and WC at risk for MetS were higher in men than women. In this community-based elderly cohort, the optimal cut points of WC at risk for MetS were lower than the Western criteria. Compared with the cut points in middle-aged Koreans, the cut points for elderly were lower in men and similar in women.
- SourceAvailable from: Rui-Dan Zheng[show abstract] [hide abstract]
ABSTRACT: Objective. To investigate the anthropometric indicators that can effectively predict the nonalcoholic fatty liver disease (NAFLD). Methods. The height, body weight, waist and hip circumference were measured, and body mass index (BMI), waist-to-height (WHtR) and waist-to-hip ratio (WHR) were calculated. M-H chi square test, logistic regression analysis, and receiver-operating characteristic (ROC) curve were employed for the analysis of risk factors. Patients or Materials. 490 patients were recruited, of whom 250 were diagnosed as NAFLD and 240 as non-NAFLD (control group). Results. Compared with the control group, the BMI, WHR, and WHtR were significantly higher in patients with NAFLD. Logistic regression analysis showed that BMI and WHR were effective prognostic factors of NAFLD. In addition, WHR plays a more important role in prediction of NAFLD by the area under curve. Conclusion. WHR is closely related to the occurrence of NAFLD. We assume that WHR is beneficial for the diagnosis NAFLD.Gastroenterology Research and Practice 01/2012; 2012:362147. · 1.62 Impact Factor