Osteoporosis risk-assessment related lifestyle and metabolic factors: A population-based study

Lili You, Feng Li, Wanting Feng, Xiaoyi Wang, Meng Ren, Muchao Wu, Jin Zhang, Chuan Wang, Juying Tang, Xiaoyun Zhang, Li Yan, and Mingtong Xu

Background: Several studies have investigated the risk factors for osteoporosis in China, but little is known about the situation of osteoporosis in Southern China in recent years. Our present study investigates the osteoporosis risk factors of total population, male population and female population in Southern Chinese community-based population, aiming to suggest more effects for prevention and control of osteoporosis.

Materials: A multistage stratified random cluster sampling design was used in this cross-sectional study conducted in 2015. Osteoporosis was defined as T scores ≤ -2.5 at root bone. Unconditional and multivariate logistic regression analysis was used to calculate Odds Ratios (ORs) and 95% Confidence Intervals (CIs). Propensity Score (PS) matching analysis and Receiver Operating Characteristic (ROC) curve were used to control potential confounding and evaluate the predictive value of prediction model, respectively.

Results: The estimated prevalence of osteoporosis in Southern China of Guangzhou was 16.69%. Osteoporosis was positively associated with age, education level, vitamin D intake, physical activity, weight, neck circumference, waistline and total cholesterol level in total population. Increased weight level was association with low risk of osteoporosis. Besides, erectile dysfunction subjects with low bone mineral density in male population and menopause was independent risk factor for development of osteoporosis in female population. What’s more, occasional and moderate drinking was protective factor for osteoporosis only in female population. Our study suggests that the roles of fat distribution but not only for fat quantity should be taken seriously to explore the association with osteoporosis.

Conclusion: We observed a high prevalence of osteoporosis among the Southern China in Guangzhou City. Meanwhile, our study lends support that some related lifestyle and metabolic factors may be the association factors for the development of osteoporosis. Government and health department should take measures to improve people’s awareness of osteoporosis and reduce the prevalence of osteoporosis in Southern China. Our results will provide latest scientific evidence for health policy formulating.