title: A cross-sectional study for estimation of associations between education level and osteoporosis in a Chinese men sample.
abstract: BACKGROUND
  The main aim of this study was to evaluate the association between education level and osteoporosis (OP) in general Chinese Men.
  
  
  METHODS
  We conducted a large-scale, community-based, cross-sectional study to investigate the association by using self-report questionnaire to assess education levels. The data of 1092 men were available for analysis in this study. Multiple regression models controlling for confounding factors to include education level were performed to explore the relationship between education level and OP.
  
  
  RESULTS
  Positive correlations between education level and T-score of quantitative bone ultrasound (QUS-T score) were reported (β = 0.108, P value < 0.001). Multiple regression analysis indicated that the education level was independently and significantly associated with OP (P < 0.1 for all models). The men with lower education level had a higher prevalence of OP.
  
  
  CONCLUSIONS
  The education level was independently and significantly associated with OP. The prevalence of OP was more frequent in Chinese men with lower education level.
  
  
  BACKGROUND
  ClinicalTrials.gov Identifier: NCT02451397 ; date of registration: 05/28/2015).
authors.affiliation: Department of Endocrinology and Metabolism, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China. yucaixia1990@yeah.net.
authors.forename: Cai-Xia
authors.initials: CX
authors.lastname: Yu
authors.affiliation: Department of Endocrinology and Metabolism, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China. drzhonghualiu@gmail.com.
authors.forename: Xiu-Zhen
authors.initials: XZ
authors.lastname: Zhang
authors.affiliation: Department of Endocrinology and Metabolism, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China. keqzhang2007@126.com.
authors.forename: Keqin
authors.initials: K
authors.lastname: Zhang
authors.affiliation: Department of Endocrinology and Metabolism, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China. dr_zhtang@yeah.net.
authors.forename: Zihui
authors.initials: Z
authors.lastname: Tang
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D044466:Asian People; D016009:Chi-Square Distribution; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D004522:Educational Status; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D010024:Osteoporosis / Q000000981:diagnostic imaging / Q000208:ethnology*; D015995:Prevalence; D012307:Risk Factors; D012737:Sex Factors; D011795:Surveys and Questionnaires; D014463:Ultrasonography