ArticleArchives of osteoporosis2023
Prevalence and risk factors of osteoporosis and osteopenia among residents in Hubei province, China.
Article in Archives of osteoporosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparative analysis of bone density measurement techniques: a systematic review of quantitative ultrasound and dual-energy X-ray absorptiometry.Frontiers in endocrinology · 2026Pooled it
- An explainable predictive machine learning model of osteopenia for perimenopausal women based on clinical data: a retrospective single-center study.Frontiers in endocrinology · 2026Article
- Adiposity-lipid-glycemic clusters as potential warning signals of bone mass reduction in Asia's largest urban communities - based bone health assessment via ultrasound.Lipids in health and disease · 2025Article
- Osteoporosis in Wilson's disease: A large cohort study highlighting age, sex and skeletal symptoms as key risk factors for clinical surveillance.Orphanet journal of rare diseases · 2025Article
- Analysis of the association between mixed exposure to multiple metals and comorbidity of osteopenia or osteoporosis: baseline data from the Chinese Multi-Ethnic Cohort study (CMEC).BMC public health · 2025Article
- Onion (International journal of molecular sciences · 2024Article
- Opportunistic prediction of osteoporosis in patients with degenerative lumbar diseases: a simplified T12 vertebral bone quality approach.Journal of orthopaedic surgery and research · 2024Article
- Sex- and Age-Specific Prevalence of Osteopenia and Osteoporosis: Sampling Survey.JMIR public health and surveillance · 2024Article
- Efficacy of Opportunistic Screening with Chest CT in Identifying Osteoporosis and Osteopenia in Patients with T2DM.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
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Authors and funding
13 authors.
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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.
introductionThe 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.
objectiveTo explore the prevalence of osteoporosis and osteopenia in Hubei province, and provide the epidemiological basis for policymakers, to reduce the prevalence of osteoporosis
methodsBased 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.
resultsThe 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.
conclusionsThe 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.
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