Literature DB >> 29695172

Relationship Between Metabolic Syndrome Severity and Kidney Function as Related to Gender: A Population-Based Longitudinal Study.

Sheng-Pyng Chen1, Chi-Rong Li2, Huan-Cheng Chang1,3, Yu-Ling Li1, Hsiang-Chu Pai4,5.   

Abstract

The purpose of this study was to explore the relationship between the metabolic syndrome severity Z-score and kidney function by gender. We also examined the estimated glomerular filtration rate in relation to other known risk factors. The study used was a population-based prospective longitudinal research design. A total of 4,838 participants (2,683 females and 2,155 males) included individuals aged >30 years who were undergoing a health examination from 2006 to 2014 in Pingzhen City, Taiwan. In the initial generalized estimated equation model analysis, which included the covariates of age of first visit, period between the first and current visit, and metabolic syndrome severity Z-score, the results indicated that the interaction between age and metabolic syndrome severity Z-score is significantly related to the estimated glomerular filtration rate for males (p = .040). For females, the interaction between age and metabolic syndrome severity Z-score was not significant, but a higher metabolic syndrome severity Z-score was significantly associated with lower estimated glomerular filtration rate (p = .001). After controlling for the confounders, unhealthy behaviors, and comorbidities, the metabolic syndrome severity Z-score was still a negative predictor of estimated glomerular filtration rate in both the male (p = .005) and female (p = .023) models.

Entities:  

Keywords:  MetS severity Z-score; chronic disease; eGFR; health behavior; kidney function; metabolic syndrome

Year:  2018        PMID: 29695172     DOI: 10.1177/1054773818773385

Source DB:  PubMed          Journal:  Clin Nurs Res        ISSN: 1054-7738            Impact factor:   2.075


  1 in total

1.  Change in prevalence and severity of metabolic syndrome in the Sami and non-Sami population in rural Northern Norway using a repeated cross-sectional population-based study design: the SAMINOR Study.

Authors:  Vilde L Michalsen; Kirsti Kvaløy; Johan Svartberg; Susanna R A Siri; Marita Melhus; Ann R Broderstad
Journal:  BMJ Open       Date:  2019-06-14       Impact factor: 2.692

  1 in total

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