颈围预测成年沙特人肥胖和代谢综合征的表现:一项横断面研究。

Q1 Medicine
BMC Obesity Pub Date : 2019-04-01 eCollection Date: 2019-01-01 DOI:10.1186/s40608-019-0235-7
Rasmieh Alzeidan, Amel Fayed, Ahmed S Hersi, Hala Elmorshedy
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引用次数: 25

摘要

背景:颈围(NC)是一种新的简单稳定的身体测量方法,越来越多的证据表明其对诊断肥胖和代谢综合征(MetS)是有效的。因为NC的截止值是特定性别和种族的;我们进行了目前的研究,以探索NC在预测男女成年沙特人的一般性肥胖、中心性肥胖和代谢综合征方面的表现。方法:这是一项横断面研究,包括3063名平均年龄38.6岁的成年沙特人(1156名男性和1907名女性) ± 14.1 年。通过标准化方法对人体测量和血压进行评估。测量所有参与者的血液测试,包括空腹血脂、血糖、空腹血糖和血红蛋白A1c(HBA1c)。我们根据成人治疗小组III(ATPIII定义)确定了MetS。使用SPSS®19(PASW统计数据文件19)对数据进行分析;将NC与相关的人体测量指标进行比较,以使用受试者操作特征(ROC)分析预测肥胖和MetS。通过Youden指数估计在肥胖和非肥胖患者之间具有良好区分能力的NC的临界值,并通过多元逻辑回归分析估计调整后的比值比(OR)来描述NC与结果变量之间的关系。结果:ROC分析显示NC在一般性肥胖、中心性肥胖和代谢综合征方面表现良好;作为非糖尿病患者肥胖的预测指标,曲线下面积(AUC)在0.77-0.86之间。在MetS中,男性和女性的AUC分别为0.77和0.82。NC预测肥胖的最佳临界值为 ≥ 37.5 男性为cm,而≥32.5 雌性为厘米。经年龄和腰高比调整后的逻辑回归分析结果显示,NC、一般性肥胖、代谢综合征和中心性肥胖之间存在一致的正相关:男性的ORs分别为4.26、3.03、1.45,女性分别为4.65、3.66和1.47。结论:NC是肥胖和代谢综合征的独立预测因子。它的稳定性、易用性、低成本和文化接受度,证明了它在社区环境下被用作沙特人的一般性和中心性肥胖以及MetS的筛查工具,以及作为卫生专业人员的额外常规测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of neck circumference to predict obesity and metabolic syndrome among adult Saudis: a cross-sectional study.

Background: Neck circumference (NC) is a novel simple and stable body measurement, a growing body of evidence indicates its validity to diagnose obesity and metabolic syndrome (MetS). Because the cutoff value of NC is gender and ethnic-specific; we conducted the current study to explore the performance of NC to predict general obesity, central obesity, and MetS among adult Saudis of both genders.

Methods: This is a cross-sectional study which included 3063 adult Saudis (1156 males and 1907 females) with a mean age of 38.6 ± 14.1 years. Anthropometric measurements and blood pressure were assessed by a standardized methodology. Blood tests including fasting lipid panel, blood glucose, fasting blood glucose and hemoglobin A1c (HBA1c) were measured for all participants. We identified the MetS based on Adult Treatment Panel III (ATPIII definition). Data were analyzed using SPSS®19 (PASW statistics data document 19); NC was compared to relevant anthropometric measures to predict obesity and MetS using Receiver Operator Characteristic (ROC) analyses. The cutoff value of NC which possessed good discriminating power between obese and non-obese patients was estimated by Youden index, and we estimated the adjusted Odds Ratio (OR) to delineate the association between NC and the outcome variables by multiple logistic regression analysis.

Results: ROC analyses demonstrated good performance of NC for general obesity, central obesity and MetS; as a predictor of obesity in non-diabetics, Area Under the Curve (AUC) ranged from 0.77-0.86. In MetS, AUC was 0.77 and 0.82 for males and females respectively. The best cutoff values of the NC to predict obesity were ≥ 37.5 cm for males versus ≥32.5 cm for females. The results of adjusted logistic regression analysis adjusted for age and waist height ratio, revealed a consistent positive association between NC, general obesity, MetS, and central obesity: ORs were 4.26, 3.03, 1.45 for males versus 4.65, 3.66, and1.47 for females respectively.

Conclusion: NC stands out as an independent predictor of obesity and the MetS. Its stability, easiness of application, low cost and the cultural acceptance, justify its use as a screening tool for general and central obesity as well as MetS among Saudis under community settings, and as an additional routine measurement for health professionals.

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来源期刊
BMC Obesity
BMC Obesity Medicine-Health Policy
CiteScore
5.00
自引率
0.00%
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0
期刊介绍: Cesation (2019). Information not localized.
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