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.
中科院分区:
文献类型:
--
作者:
Gurka, Matthew J.;Lilly, Christa L.;Oliver, M. Norman;DeBoer, Mark D.
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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DOI:
10.1080/10705519909540118
发表时间:
1999-01-01
影响因子:
6
作者:
Hu, Li-tze;Bentler, Peter M.
通讯作者:
Bentler, Peter M.
影响因子:
37.8
作者:
Dekker, JM;Girman, C;Heine, RJ
通讯作者:
Heine, RJ
影响因子:
16.2
作者:
Lee, S;Bacha, F;Arslanian, SA
通讯作者:
Arslanian, SA
影响因子:
9.8
作者:
DeBoer, Mark D.;Dong, Lili;Gurka, Matthew J.
通讯作者:
Gurka, Matthew J.
影响因子:
5.3
作者:
DeBoer, Mark D.;Gurka, Matthew J.
通讯作者:
Gurka, Matthew J.