title: [Binary logistic regression for the risk factors of osteopenia in youths].
abstract: OBJECTIVE
  To screen the risk factors for osteopenia in youths.
  
  
  METHODS
  Ninety-nine subjects aged 15 to 43 years with primary osteopenia(-2.5<T score<-1.0) were enrolled in this study, with 101 healthy subjects as control. Binary logistic regression was used to analyze 10 potential factors associated with osteopenia.
  
  
  RESULTS
  Binary logistic regression identified 5 factors that showed significantly correlations to osteopenia, namely inactivity, prolonged use of computers, imbalanced diet, staying up late at night, and alcohol drinking (P=0.000 for all the factors with yield ratios all >80%). Joint clicking and skeletal pain were the most common symptoms, and most of the patients had complaints of fatigue, insomnia and gastric discomforts.
  
  
  CONCLUSIONS
  Inactivity, prolonged use of computers, imbalanced diet, staying up late at night, and alcohol drinking are the risk factors for osteopenia in youths. Most of the patients have a sub-health status, indicating the necessity of relevant interventions to prevent the occurrence of osteoporosis.
authors.affiliation: School of Humanity and Management, Southern Medical University, Guangzhou 510515, China. zhangli373227598@163.com
authors.forename: Li
authors.initials: L
authors.lastname: Zhang
authors.forename: Wen-yuan
authors.initials: WY
authors.lastname: Li
mesh_terms: D000293:Adolescent; D000328:Adult; D001851:Bone Diseases, Metabolic / Q000453:epidemiology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D012307:Risk Factors; D055815:Young Adult