title: Relationship Between Physical Activity Patterns and Metabolic Syndrome Among Male Coal Miners of Shanxi Province in China.
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.
  
  
  METHODS
  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 defined 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.
authors.forename: Jie
authors.initials: J
authors.lastname: Liang
authors.forename: Shuang-Shuang
authors.initials: SS
authors.lastname: Tian
authors.forename: Nan
authors.initials: N
authors.lastname: Qiao
authors.forename: Cong
authors.initials: C
authors.lastname: Wang
authors.forename: Jian-Jun
authors.initials: JJ
authors.lastname: Huang
authors.forename: Chen-Ming
authors.initials: CM
authors.lastname: Sun
authors.forename: Hai-Xia
authors.initials: HX
authors.lastname: Zhang
authors.forename: Yan
authors.initials: Y
authors.lastname: Cui
authors.forename: Hui
authors.initials: H
authors.lastname: Wang
authors.forename: Xiao-Meng
authors.initials: XM
authors.lastname: Liu
authors.forename: Shu-Hong
authors.initials: SH
authors.lastname: Xu
authors.forename: Hongwei
authors.initials: H
authors.lastname: Guan
authors.forename: Tong
authors.initials: T
authors.lastname: Wang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002681:China; D016000:Cluster Analysis; D003032:Coal Mining; D003430:Cross-Sectional Studies; D015444:Exercise; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis / Q000453:epidemiology*; D008875:Middle Aged; D000067572:Miners; D015995:Prevalence; D012307:Risk Factors; D018401:Sample Size; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D055815:Young Adult
keywords: cross-sectional study; metabolic syndrome; physical activity