ABSTRACT
It is the first time to estimate the prevalence and characterize of osteoporosis in Hubei province, China. The prevalence of osteoporosis was 12.19%, 3.69% for males, and 18.94% for females; 56.6% were diagnosed with osteopenia, 44.96% for males, and 65.84% for females. INTRODUCTION: The disease burden of osteoporosis is increasing, but there are few studies on the prevalence and risk factors in Hubei, China. This study aims to analyze the prevalence of osteoporosis using dual-energy X-ray absorptiometry (DXA) measurement and the risk factors of osteoporosis using epidemiological survey methods. OBJECTIVE: To explore the prevalence of osteoporosis and osteopenia in Hubei province, and provide the epidemiological basis for policymakers, to reduce the prevalence of osteoporosis METHODS: Based on data derived from the epidemiological survey of osteoporosis in Hubei province in 2018, 1592 residents aged 40 and above from 32 neighborhood committees/villages in 4 districts/counties of Hubei province were selected by multistage stratified random sampling. The lumbar spine AP (L1-L4 and L2-L4), femoral neck, and total hip BMD were measured using DXA of the internationally recognized gold standard and assessed according to WHO diagnostic criteria, utilizing unconditional logistic regression to explore the risk factors of osteoporosis and osteopenia. RESULTS: The overall crude prevalence of osteoporosis was 12.19%, 3.69% for males, and 18.94% for females. Osteopenia was diagnosed in 56.6% of all participants, 44.96% in males, and 65.84% in females. Increasing age, females, and underweight were related to the high prevalence of osteoporosis and osteopenia, while people with higher levels of education, overweight, and obese had a low prevalence of osteoporosis and osteopenia. In women, the absence of chronic disease and moderate intake of dairy products probably be associated with the low prevalence of osteopenia. CONCLUSIONS: The prevalence of osteoporosis and osteopenia is high in Hubei, China. The risk of prevalence of osteoporosis and osteopenia was higher in females and people with higher age and low BMI. While high BMI, high education, the absence of chronic disease, and intaking dairy moderately were negatively correlated with the prevalence of osteopenia or osteoporosis. The government should support the prevention and treatment of osteoporosis.
