- 期刊
Comparisons Between Anthropometric Indices for Predicting the Metabolic Syndrome in Japanese
以日本人为对象的人体测量指标预测代谢综合症之比较
摘要
目的：代谢综合症（MS）的大多数定义，均以腰围作为中心性肥胖的测定指标。但也有某些主要来自亚洲的报告主张：在判别受试者是否具有心血管疾病危险因素时，使用腰⁄身高比率这类指数优于采用腰围。由此，我们针对两种或更多些的症候，如高血压、血脂异常（高甘油三酯和⁄或低水平高密度脂蛋白）与空腹高血糖；对部分人体指标预测力与危险因素积累（RFA）间的相关要素，做了一项调查。上述症候，无论何种皆为代谢综合症的病状之一。方法：根据由日本公众健康中心分组所得到的数据，我们进行了横断面分析调研。对于年龄在51至70岁之间的315名男性和314名女性，就其年度体检所获得的腰与臀围、血压、空腹血糖与脂状的数据，实施了变量检测。结果：腰围在95厘米以下時，危险因素积累的增加趋势几乎是与腰围的增加，呈线状平行。从受试者操作特性的分析中得以验证：与利用腰⁄身高比率、腰⁄臀比率及身体質量指数(BMI)来预测危险因素积累相比，腰围是一个更好的指标，但其间在统计学上无显著差异。然而，即使利用腰围进行测定，也还不能产生明晰的断开点能同时符合高灵敏度与高特异性。结论：利用腰围实施预测，其预测力並不亚于其他指数。因此，对于预测代谢综合症而言，事实上腰围是一种最方便的指数，因为该测试方法最为简单易行。
並列摘要
Aims: Most definitions of the metabolic syndrome (MS) employ waist circumference as an indicator of central obesity. However, several reports, mainly from Asia, argue that other indices, for example the waist/height ratio, are superior to waist circumference for identifying subjects with cardiovascular risk factors. We therefore investigated correlations between the predictive power of several anthropometric indices and risk factor accumulation (RFA) defined by the existence of two or more disorders among hypertension, dyslipidemia (high triglycerides and/or low levels of high density lipoprotein cholesterol) and fasting hyperglycemia; each of which is a component of MS. Methods: We conducted a cross-sectional analysis using data from a part of the Japan Public Health Center-based Cohort. A total of 315 men and 314 women, 51 to 70 years of age were examined for variables including waist and hip circumferences, blood pressure, fasting plasma glucose and lipids at an annual health check-up. Results: The prevalence of RFA increased almost linearly in parallel with increasing waist circumference up to 95 cm. Receiver operating characteristic analysis demonstrated that waist circumference was better than waist/ height ratio, waist/hip ratio and BMI at predicting RFA; but the differences were not statistically significant. However, even in the case of waist circumference, no clear cut-off point yields sufficiently high sensitivity and specificity simultaneously. Conclusions: The predictive power of waist circumference was not inferior to those of other indices. Therefore, waist circumference is practically the most convenient measure for predicting MS because of its simplicity.