Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China.
Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
BMC Geriatr. 2018 Sep 17;18(1):218. doi: 10.1186/s12877-018-0912-2.
Emerging studies have investigated the association between different anthropometric indices with diabetes risk but the results were inconsistent. The aims of the study were to examine the associations of different anthropometric indices with incident diabetes risk and whether novel anthropometric indices improve diabetes prediction beyond traditional indices among elderly Chinese.
Nine thousand nine hundred sixty-two elderly individuals (age ≥ 60 years old) derived from the prospective Dongfeng-Tongji cohort were included. Hazard ratio (HR) and corresponding 95% confidence interval (CI) were evaluated by Cox proportional hazard model to examine the associations between traditional anthropometric indices (body mass index [BMI], waist circumference [WC], waist-to-height ratio [WHtR]), novel anthropometric indices (visceral adiposity index [VAI], a body shape index [ABSI], body roundness index [BRI]) and diabetes risk. Receiver operating characteristic (ROC) curve and area under curve (AUC) were applied to compare the novel anthropometric indices with the traditional indices in diabetes prediction.
During mean 4.6 years of follow-up, 614 incident cases of type 2 diabetes (T2D) were identified. Significant positive associations were detected between BMI, WC, WHtR, VAI and BRI and incident T2D risk. For ABSI, no significant association was observed in either men or women. BMI was the strongest predictor in diabetes in men (AUC = 0.655) comparable with the other anthropometric indices (P < 0.05). Similar as men, BMI was the strongest predictor (AUC = 0.635) in women. Except for WC, the AUC of BMI was larger than WHtR, VAI, and BRI. In contrast, ABSI was not a good predictor in either men (AUC = 0.507) or women (AUC = 0.503).
In elderly Chinese, BMI, WC, WHtR, VAI and BRI were positively associated with incident T2D risk. Among them, BMI was the strongest predictor in both men and women.
越来越多的研究调查了不同人体测量学指标与糖尿病风险之间的关联，但结果并不一致。本研究旨在探讨不同人体测量学指标与老年中国人发生糖尿病风险的关系，以及新型人体测量学指标是否能比传统指标更好地预测糖尿病。
本研究纳入了 9962 名年龄≥60 岁的老年人（来自前瞻性的东风-同济队列）。采用 Cox 比例风险模型评估风险比（HR）和相应的 95%置信区间（CI），以检验传统人体测量学指标（体重指数[BMI]、腰围[WC]、腰高比[WHtR]）、新型人体测量学指标（内脏脂肪指数[VAI]、体脂指数[ABSI]、体圆度指数[BRI]）与糖尿病风险的关系。应用受试者工作特征（ROC）曲线和曲线下面积（AUC）比较新型人体测量学指标与传统指标在糖尿病预测中的价值。
在平均 4.6 年的随访期间，共确诊了 614 例 2 型糖尿病（T2D）病例。BMI、WC、WHtR、VAI 和 BRI 与 T2D 发病风险呈显著正相关。ABSI 在男性或女性中均无显著相关性。在男性中，BMI 是糖尿病最强的预测指标（AUC=0.655），与其他人体测量学指标相当（P<0.05）。与男性相似，BMI 也是女性最强的预测指标（AUC=0.635）。除 WC 外，BMI 的 AUC 大于 WHtR、VAI 和 BRI。相比之下，ABSI 无论是在男性（AUC=0.507）还是女性（AUC=0.503）中，都不是一个很好的预测指标。
在中国老年人中，BMI、WC、WHtR、VAI 和 BRI 与 T2D 发病风险呈正相关。其中，BMI 是男性和女性中最强的预测指标。
