Institute of Industrial Ecology of Ural Branch of the Russian Academy of Sciences, S. Kovalevskaya Str., 20, Ekaterinburg, 620990, Russian Federation.
Sci Rep. 2024 Jul 3;14(1):15327. doi: 10.1038/s41598-024-66262-z.
Metabolic syndrome (MetS) is closely associated with adverse cardiometabolic outcomes. The objective of this study was to identify practical methods that could enable the effective identification of MetS based on anthropometric indices. The basis of our study involved retrospective database obtained from routine medical prophylactic examinations. This was a cross-sectional study on the health status of male workers employed in hazardous working conditions at industrial enterprises in the Ural region conducted in 2019. A total of 347 male workers employed under hazardous working conditions were investigated. The presence of MetS was established by a healthcare professional in accordance with the guidelines of the International Diabetes Federation (IDF). Simple linear regression was used to evaluate the associations between anthropometric indices and MetS incidence. Logistic regression was used to determine the odds ratios of MetS in relation to increases in anthropometric indices. ROC curves were calculated to compare the ability of each anthropometric index to predict MetS and to determine the diagnostic thresholds of the indicators considered. According to the IDF criteria, 36.3% of the workers had MetS. A direct relationship was found between the individual components of MetS and the anthropometric indices studied. The highest OR was shown by the Body Roundness Index (BRI) of 2.235 (95% CI 1.796-2.781). For different age quartiles, the optimal cut-off values for predicting MetS were as follows: BRI, 4.1-4.4 r.u.; body shape index (ABSI), 0.080-0.083 m kg; and lipid accumulation product (LAP), 49.7-70.5 cm mmol/l. The most significant associations with MetS were observed where the values were greater than these cut-off points (Se = 97.4%). The results of this study demonstrated the rapid use of new anthropometric indicators, which have shown good predictive ability and are quite easy to use.
代谢综合征(MetS)与不良心血管代谢结局密切相关。本研究旨在确定基于人体测量指数有效识别 MetS 的实用方法。我们的研究基础是 2019 年从危险工作环境下工业企业的常规医疗预防性检查中获得的回顾性数据库。这是一项针对危险工作环境下就业的男性工人健康状况的横断面研究,研究对象来自俄罗斯乌拉尔地区的工业企业。共调查了 347 名从事危险工作的男性工人。MetS 的存在是由医疗保健专业人员根据国际糖尿病联合会(IDF)的指南确定的。简单线性回归用于评估人体测量指数与 MetS 发生率之间的关联。逻辑回归用于确定与人体测量指数增加相关的 MetS 比值比。ROC 曲线用于比较每个人体测量指数预测 MetS 的能力,并确定所考虑指标的诊断阈值。根据 IDF 标准,36.3%的工人患有 MetS。MetS 的各个组成部分与研究中的人体测量指数之间存在直接关系。身体圆润指数(BRI)的比值比最高,为 2.235(95%CI 1.796-2.781)。对于不同的年龄四分位组,预测 MetS 的最佳截断值如下:BRI,4.1-4.4 r.u.;体型指数(ABSI),0.080-0.083 m kg;和脂肪堆积产物(LAP),49.7-70.5 cm mmol/L。在这些值大于这些截断值的情况下,与 MetS 的关联最为显著(Se=97.4%)。本研究结果表明,新的人体测量指标可以快速使用,这些指标具有良好的预测能力,且使用非常简便。