Department of Software, Konkuk University, Seoul, Republic of Korea.
Department of Computer Engineering, Konkuk University, Chungju, Republic of Korea.
PLoS One. 2019 Jul 24;14(7):e0220077. doi: 10.1371/journal.pone.0220077. eCollection 2019.
Type 2 diabetes mellitus (T2DM) is a common, chronic disease that is closely associated with anthropometric indices related to obesity. However, no study published to date has simultaneously examined the associations of T2DM with anthropometrics, bone mineral density (BMD), and body composition variables. The present study aimed to evaluate the associations of T2DM with anthropometrics, BMD and body composition variables and to identify the best indicator of T2DM in Korean adults.
The data used in this study were obtained from the Korea National Health and Nutrition Examination Survey conducted from 2008 to 2011. A total of 7,835 participants aged from 40 to 90 years were included in this study. A binary logistic regression analysis was performed to examine the significance of differences between the groups with and without T2DM, and the areas under the receiver operating characteristic (AUCs) curves were calculated to compare the predictive power of all variables.
In men, waist-to-height ratio (WHtR) displayed the strongest association with T2DM (adjusted odds ratio (OR) = 1.838 [1.513-2.233], adjusted p<0.001), and waist circumference (WC) and WHtR were the best indicators (WC: AUC = 0.662 [0.639-0.685], WHtR: AUC = 0.680 [0.658-0.703]) of T2DM among all the variables. In women, left leg (LL) and right leg (RL) fat displayed strong negative associations with T2DM (LL fat: adjusted OR = 0.367 [0.321-0.419], adjusted p<0.001, RL fat: adjusted OR = 0.375 [0.329-0.428], adjusted p<0.001), and WC and WHtR were excellent indicators (WC: AUC = 0.730 [0.709-0.750], WHtR: AUC = 0.747 [0.728-0.766]) of T2DM among all the variables. In particular, the WHtR in men and LL and RL fat in women exhibited the strongest associations with T2DM, and the predictive power of the WC and WHtR was stronger than BMD, fat, and muscle mass variables in both men and women. Additionally, the predictive power of the WC and WHtR was stronger in women than in men.
Of the anthropometric indices, BMD, and body fat and muscle variables, the best indicators of T2DM were WC and WHtR in both Korean men and women. The results of the present investigation will provide basic information for clinical studies of patients with T2DM and evidence for the prevention and management of T2DM.
2 型糖尿病(T2DM)是一种常见的慢性疾病,与肥胖相关的人体测量学指标密切相关。然而,迄今为止,尚无研究同时检查 T2DM 与人体测量学、骨密度(BMD)和身体成分变量之间的关系。本研究旨在评估 T2DM 与人体测量学、BMD 和身体成分变量的关系,并确定韩国成年人中 T2DM 的最佳指标。
本研究使用的数据来自于 2008 年至 2011 年进行的韩国国家健康和营养检查调查。共纳入 7835 名 40 至 90 岁的参与者。采用二元逻辑回归分析比较 T2DM 组与非 T2DM 组之间的差异,并计算受试者工作特征(ROC)曲线下面积(AUC)以比较所有变量的预测能力。
在男性中,腰高比(WHtR)与 T2DM 相关性最强(调整后的优势比(OR)=1.838[1.513-2.233],调整后 p<0.001),腰围(WC)和 WHtR 是 T2DM 的最佳指标(WC:AUC=0.662[0.639-0.685],WHtR:AUC=0.680[0.658-0.703])。在女性中,左下肢(LL)和右下肢(RL)脂肪与 T2DM 呈强烈负相关(LL 脂肪:调整后的 OR=0.367[0.321-0.419],调整后 p<0.001,RL 脂肪:调整后的 OR=0.375[0.329-0.428],调整后 p<0.001),WC 和 WHtR 是 T2DM 的优秀指标(WC:AUC=0.730[0.709-0.750],WHtR:AUC=0.747[0.728-0.766])。特别是男性的 WHtR 和女性的 LL 和 RL 脂肪与 T2DM 相关性最强,WC 和 WHtR 的预测能力强于男女 BMD、脂肪和肌肉质量变量。此外,WC 和 WHtR 的预测能力在女性中强于男性。
在人体测量学指标、BMD 和体脂肪与肌肉变量中,WC 和 WHtR 是韩国男女 T2DM 的最佳指标。本研究结果将为 T2DM 患者的临床研究提供基础信息,并为 T2DM 的预防和管理提供证据。