Literature DB >> 24933651

Differential patterns of effects of age and sex on metabolic syndrome in Taiwan: implication for the inadequate internal consistency of the current criteria.

Tzu-Wei Wu1, Hsin-Lung Chan2, Chung-Lieh Hung3, I-Jung Lu4, Shwun-De Wang1, Shih-Wei Wang1, Yih-Jer Wu5, Li-Yu Wang6, Hung-I Yeh5, Yau-Huei Wei1.   

Abstract

AIMS: Current criteria of metabolic syndrome (MetS) give equal weight to each component and apply mostly the same cut-off values to all ages. The contribution of each component to MetS and the effects of age and sex on each component and MetS were explored.
METHODS: We carried out a survey on residents aged 40-74 years of the northern coastal area of Taiwan. The prevalent rates of MetS in 646 males and 961 females were 32.4% and 27.8%, respectively. Logistic regression analyses were used to assess the main and interactive effects of age and sex. The Cronbach's α coefficient was calculated as the indicator of internal consistency of MetS components.
RESULTS: There were significant age trends for MetS components, except for low HDL-C in both sexes and high fasting triglyceride in males. Logistic regression analyses showed that the effects of age and sex on MetS and its component were all different. The age-sex-specific Cronbach's α coefficients for MetS ranged from 0.43 to 0.61. The age trends of the coefficients in males and females were opposite. The exclusion of some components from the MetS resulted in an increase of the coefficients.
CONCLUSIONS: Our results indicate that the internal consistency of MetS was questionable. It seems that the currently defined MetS components of MetS did not formulate a single pathophysiological entity. Given equal weight to each component and used the same cut-off values for the subjects of all age groups in both sexes need to be reconsidered.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Age; Internal consistency; Metabolic syndrome; Population-based analysis; Sex; Surveys

Mesh:

Year:  2014        PMID: 24933651     DOI: 10.1016/j.diabres.2014.04.027

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  7 in total

1.  Influence of traditional Chinese medicine syndrome groups on quality of life in women with metabolic syndrome.

Authors:  Li-Wen Huang; I-Ju Chen; Chung-Hua Hsu
Journal:  J Tradit Complement Med       Date:  2015-11-18

2.  Associations of Cardiovascular Risk Factors with Carotid Intima-Media Thickness in Middle-Age Adults and Elders.

Authors:  Tzu-Wei Wu; Chung-Lieh Hung; Chun-Chieh Liu; Yih-Jer Wu; Li-Yu Wang; Hung-I Yeh
Journal:  J Atheroscler Thromb       Date:  2016-11-18       Impact factor: 4.928

3.  Prevalence of metabolic syndrome among employees of a taiwanese hospital varies according to profession.

Authors:  Wei-Chung Yeh; Hai-Hua Chuang; Mei-Chun Lu; I-Shiang Tzeng; Jau-Yuan Chen
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

4.  Exploring the Experiences of Iranian Women Regarding Obesity Self-Management: A Qualitative Study.

Authors:  Omolhoda Kaveh; Hamid Peyrovi
Journal:  Open Access Maced J Med Sci       Date:  2019-07-29

5.  The Association between Metabolic Syndrome and Related Factors among the Community-Dwelling Indigenous Population in Taiwan.

Authors:  Yu-Chung Tsao; Wen-Cheng Li; Wei-Chung Yeh; Steve Wen-Neng Ueng; Sherry Yueh-Hsia Chiu; Jau-Yuan Chen
Journal:  Int J Environ Res Public Health       Date:  2020-12-02       Impact factor: 3.390

6.  Determinants of metabolic syndrome among patients attending diabetes clinics in two sub-urban hospitals: Bono Region, Ghana.

Authors:  Timothy Agandah Abagre; Delia Akosua Bandoh; Adolphina Addoley Addo-Lartey
Journal:  BMC Cardiovasc Disord       Date:  2022-08-10       Impact factor: 2.174

7.  Associations of Common Genetic Variants on IL-17 Genes and Carotid Intima-Media Thickness.

Authors:  Tzu-Wei Wu; Chao-Liang Chou; Yi-Cheng Chen; Yue-Li Juang; Li-Yu Wang
Journal:  J Atheroscler Thromb       Date:  2018-04-24       Impact factor: 4.928

  7 in total

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