Literature DB >> 30548993

Peripheral fat distribution versus waist circumference for predicting mortality in metabolic syndrome.

Chen-Jung Wu1,2, Tung-Wei Kao2,3,4, Yuan-Yuei Chen5, Hui-Fang Yang2,3, Wei-Liang Chen2,3,6.   

Abstract

OBJECTIVE: To elucidate whether the peripheral fat (PF)-combined definition of metabolic syndrome (MetS) would show a better predictive ability for cause-specific mortality than the common MetS.
METHODS: Data were derived from the National Health and Nutrition Examination Survey from 1999 through 2002. We investigated three types of MetS including waist circumference MetS (WCMetS), PFMetS, and PF-combined definition of MetS. The main outcome was to evaluate the predictive ability of the newly defined MetS for time to cause-specific mortality. The secondary outcomes were the relationships between the PF percentage and C-reactive protein (CRP) and homeostasis model assessment of insulin resistance (HOMA-IR) to clarify the gender discrepancy.
RESULTS: For cardiovascular mortality, the adjusted hazard ratios for WCMetS, PFMetS, and PF-combined definition MetS were 1.867, 1.742, and 2.117, respectively (all P < 0.001). A positive association between PF percentage and CRP in men and a negative correlation between PF percentage and HOMA-IR in women after adjustment for all variates were found.
CONCLUSIONS: The PF-combined definition of MetS had a stronger predictive ability for all-cause and cardiovascular mortality than general MetS. Notably, the PF might have differential gender-specific health effects on cardiovascular events.
© 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  cardiovascular mortality; metabolic syndrome; peripheral fat distribution

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Year:  2019        PMID: 30548993     DOI: 10.1002/dmrr.3116

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   4.876


  1 in total

1.  Fat-to-muscle ratio is a useful index for cardiometabolic risks: A population-based observational study.

Authors:  Yuan-Yuei Chen; Wen-Hui Fang; Chung-Ching Wang; Tung-Wei Kao; Hui-Fang Yang; Chen-Jung Wu; Yu-Shan Sun; Ying-Chuan Wang; Wei-Liang Chen
Journal:  PLoS One       Date:  2019-04-09       Impact factor: 3.240

  1 in total

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