An examination of sex and racial/ethnic differences in the metabolic syndrome among adults: a confirmatory factor analysis and a resulting continuous severity score.

An examination of sex and racial/ethnic differences in the metabolic syndrome among adults: a confirmatory factor analysis and a resulting continuous severity score.
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DOI:
10.1016/j.metabol.2013.10.006
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发表时间:
2014-02
影响因子:
9.8
通讯作者:
DeBoer, Mark D.
DeBoer, Mark D.
中科院分区:
医学1区
文献类型:
--
作者:
Gurka, Matthew J.;Lilly, Christa L.;Oliver, M. Norman;DeBoer, Mark D.

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代谢综合征 (MetS) 通常根据特定集群临床指标的异常来诊断,这些指标与冠心病 (CHD) 和 2 型糖尿病 (T2DM) 风险增加相关。然而,当前的 MetS 标准会导致种族/民族差异。我们的目标是使用验证性因素分析 (CFA) 来描述亚组对 MetS 的差异贡献,如果发现贡献,则建立性别和种族/民族特定方程来计算 MetS 严重程度。使用 1999-2010 年国家健康和营养检查调查中的成年人数据,我们对单个 MetS 因素进行了 CFA,该因素允许跨组进行不同的负荷,从而得出性别和种族/民族特定的连续 MetS 严重程度评分。单个 MetS 因子的负载因每个 MetS 成分的子组而异 (p<0.001),非西班牙裔黑人甘油三酯的因子负载较低,西班牙裔人腰围的因子负载较低。所有组的收缩压均表现出较低的因子负荷。 MetS 严重程度评分与未来疾病的生物标志物(高敏 C 反应蛋白、尿酸、胰岛素抵抗)相关。患有糖尿病的非西班牙裔黑人男性的 MetS 患病率较低,但 MetS 严重程度评分较高,与其他种族/族裔群体没有显着差异。这项针对成年人的分析独特地证明了性别和种族/族裔群体之间关于传统 MetS 成分对假定的单一因素的贡献的差异。由此产生的方程提供了临床上可访问且可解释的 MetS 连续测量,可用于识别 MetS 相关疾病高风险成年人,并跟踪个体随时间的变化。这些方程有可能成为一个强大的新成果,用于以 MetS 为重点的研究和干预措施。
The metabolic syndrome (MetS) is typically diagnosed based on abnormalities in specific clustered clinical measures that are associated with increased risk for coronary heart disease (CHD) and Type 2 diabetes mellitus (T2DM). However, current MetS criteria result in racial/ethnic discrepancies. Our goals were to use confirmatory factor analysis (CFA) to delineate differential contributions to MetS by sub-group, and if contributions were discovered, develop sex and racial/ethnic-specific equations to calculate MetS severity. Using data on adults from the National Health and Nutrition Examination Survey 1999–2010, we performed a CFA of a single MetS factor that allowed differential loadings across groups, resulting in a sex and race/ethnicity-specific continuous MetS severity score. Loadings to the single MetS factor differed by sub-group for each MetS component (p<0.001), with lower factor loadings among non-Hispanic-blacks for triglycerides and among Hispanics for waist circumference. Systolic blood pressure exhibited low factor loadings among all groups. MetS severity scores were correlated with biomarkers of future disease (high-sensitivity C-reactive-protein, uric acid, insulin resistance). Non-Hispanic-black-males with diabetics had a low prevalence of MetS but high MetS severity scores that were not significantly different from other racial/ethnic groups. This analysis among adults uniquely demonstrated differences between sexes and racial/ethnic groups regarding contributions of traditional MetS components to an assumed single factor. The resulting equations provide a clinically-accessible and interpretable continuous measure of MetS for potential use in identifying adults at higher risk for MetS-related diseases and following changes within individuals over time. These equations hold potential to be a powerful new outcome for use in MetS-focused research and interventions.
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