Binary logistic regression for the risk factors of osteopenia in youths / 南方医科大学学报

ABSTRACT

<p><b>OBJECTIVE</b>To screen the risk factors for osteopenia in youths.</p><p><b>METHODS</b>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.</p><p><b>RESULTS</b>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.</p><p><b>CONCLUSIONS</b>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.</p>