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Relationship Between Physical Activity Patterns and Metabolic Syndrome Among Male Coal Miners of Shanxi Province in China.
- Source :
-
International Journal of Sport Nutrition & Exercise Metabolism . Feb2017, Vol. 27 Issue 1, p50-58. 9p. 3 Charts. - Publication Year :
- 2017
-
Abstract
- Objective: This study aimed to investigate the relationship between metabolic syndrome (MetS) and physical activity (PA) in different domains among male coal miners of Shanxi Province in China. Method: The study was conducted from July 2013 to December 2013. A two-stage stratified cluster sampling method was used. Data regarding the general information of participants were collected by well-trained interviewers. MetS was denned according to IDF criteria. Self-reported PA was obtained with the IPAQ and categorized into three tertiles of intensity levels across occupation, transportation, household, and leisure-time domains. Univariate and multiple logistic regression analysis were applied to compute the odds ratios and their 95% confidence interval (CI). Results: A total of 3076 males aged 18-65 years old were recruited in this cross-sectional study. The prevalence of MetS was 40.5% in the study subjects. The percentages of vigorous-intensity PA in MetS and non-MetS groups were 70.07% and 62.92%, respectively. Participants spent most of their time on occupation (2034 MET-min/w) and transportation (693MET-min/w) domains. Higher-intensity levels in occupation domains were significantly associated with lower risk of MetS (OR: 0.759,95% CI: 0.633-0.911; OR: 0.627, 95% CI: 0.516-0.762). Conclusions: Across four types of workers, the relationships between PA domains and MetS were different. For underground and underground auxiliary workers, the negative relationship was found between occupation PA and MetS. For office workers, the negative relationship was found between household PA and MetS. For ground workers, only leisure-time PA had positively related to MetS. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BLUE collar workers
*BLOOD pressure
*BLOOD sugar
*CHI-squared test
*CHOLESTEROL
*CLUSTER analysis (Statistics)
*CONFIDENCE intervals
*DEMOGRAPHY
*EPIDEMIOLOGICAL research
*HIGH density lipoproteins
*INTERVIEWING
*LEISURE
*MINERAL industries
*OCCUPATIONS
*PHYSICAL diagnosis
*PROBABILITY theory
*QUESTIONNAIRES
*RESEARCH funding
*STATISTICAL sampling
*SELF-evaluation
*TRANSPORTATION
*TRIGLYCERIDES
*LOGISTIC regression analysis
*SAMPLE size (Statistics)
*MULTIPLE regression analysis
*METABOLIC syndrome
*DISEASE prevalence
*CROSS-sectional method
*PHYSICAL activity
*DATA analysis software
*WAIST circumference
*ODDS ratio
Subjects
Details
- Language :
- English
- ISSN :
- 1526484X
- Volume :
- 27
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- International Journal of Sport Nutrition & Exercise Metabolism
- Publication Type :
- Academic Journal
- Accession number :
- 121890527
- Full Text :
- https://doi.org/10.1123/ijsnem.2015-0320