ArticleBMC musculoskeletal disorders2023
Differences in the prevalence and risk factors of osteoporosis in chinese urban and rural regions: a cross-sectional study.
Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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25 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Prevalence rate of primary osteoporosis in China: a meta-analysis.BMC public health · 2024Pooled it
- Trial
- Assessment of Osteoporotic Fracture Risk in Patients above 50 Years Using Quantitative Ultrasonography and Fracture Risk Assessment Tool: A Cross-sectional Study.Journal of orthopaedic case reports · 2026Article
- Metallic Contaminants and Osteoporosis: a Review of the Gut-Bone Axis.Biological trace element research · 2026Review
- Knowledge of osteoporosis prevention among health science students in North Africa: a descriptive correlational cross-sectional study.Archives of osteoporosis · 2026Article
- Delayed hospitalization for patients with hip fragility fracture increases mortality risk one year after surgery: a multicentre cohort study.BMC musculoskeletal disorders · 2026Article
- Knowledge, attitude, and practice of osteoporosis and hip fracture in older Chinese adults.Scientific reports · 2026Article
- Association of high-density lipoprotein with P1NP and β-CTX in hospitalized patients with osteoporotic fractures: a retrospective cross-sectional study.Frontiers in endocrinology · 2026Article
- Bone Health in Ajman: A Cross-Sectional Study of Bone Mineral Density Among Adults.Journal of osteoporosis · 2026Article
- Knowledge, Beliefs and Preventive Practices Regarding Osteoporosis: A Cross-Sectional Study in Community Pharmacies in Tunis.Nutrients · 2025Article
- Bone health and its association with lifestyle factors among urban and rural middle-aged Indian adults.Archives of osteoporosis · 2025Article
- Development and validation of a nomogram for osteoporosis based on clinical characteristics in Kunming.Journal of orthopaedic surgery and research · 2025Article
- Construction and validation of a multi-dimensional health indicator-driven osteoporosis risk prediction model: a large-sample cross-sectional study based on two centers.BMC musculoskeletal disorders · 2025Article
- The prevalence of low bone mineral density in women aged 55 years or older and the association with socioeconomic factors across the Globe.BMC public health · 2025Article
- Rheumatoid Arthritis and Osteoporosis as Prototypes of Immunosenescence in Osteoimmunology: Molecular Pathways of Inflammaging and Targeted Therapies.International journal of molecular sciences · 2025Review
- Canal Bone Ratio for Predicting Bone Mineral Density in Lumbar Degenerative Diseases.International journal of spine surgery · 2025Article
- Fracture risk prediction & kidney function at different stages of chronic kidney disease: A correlation study.The Indian journal of medical research · 2025Article
- Health outcomes and care needs after osteoporotic fractures in rural Chinese older adults: policy implications.Frontiers in public health · 2025Article
- Alcohol-induced bone loss driven by dysregulated spatial distribution of gut microbiota and PGD2-IL17 pathway-mediated osteoclast activation.Frontiers in microbiology · 2025Article
- Unsupervised Clustering of Vertebral Hounsfield Units in Opportunistic Chest CT for Stratifying Bone Mass Subtypes in a 2 Years' Period.Clinical interventions in aging · 2025Article
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20 authors at 12 institutions in 1 country.
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Abstract
backgroundBone mineral density (BMD) and prevalence of osteoporosis may differ between urban and rural populations. This study aimed to investigate the differences in BMD characteristics between urban and rural populations in Jiangsu, China.
methodsA total of 2,711 participants aged 20 years and older were included in the cross-sectional study. Multistage and stratified cluster random sampling was used as the sampling strategy. BMD was measured by the method of dual-energy x-ray absorptiometry (DXA). Data were collected through questionnaires/interview. BMD values at the lumbar spine (L1-L4), femoral neck, total hip, and greater trochanter were collected. Descriptive statistics were used to demonstrate the characteristics of urban and rural participants. Multivariate logistic regression analysis was utilized to analyze the factors that may be associated with osteoporosis in urban and rural populations.
resultsOf these participants, 1,540 (50.49%) were females and 1,363 (42.14%) were from urban. The prevalence of osteoporosis in urban and rural populations was 5.52% and 10.33%, respectively. In terms of gender, the prevalence of osteoporosis was 2.68% in males and 13.82% in females. For menopausal status, the prevalence of osteoporosis was 30.34% in postmenopausal females and 4.78% in premenopausal females. In urban populations, older age [adjusted odds ratio (AOR) = 2.36, 95%CI, 2.35-2.36), hypertension (AOR = 1.37, 95%CI, 1.36-1.37), unmarried (AOR = 4.04, 95%CI, 3.99-4.09), smoking everyday (AOR = 2.26, 95%CI, 2.23-2.28), family history of osteoporosis (AOR = 1.66, 95%CI, 1.65-1.67), dyslipidemia (AOR = 1.05, 95%CI, 1.04-1.05), and higher β-crosslaps (β-CTX) level (AOR = 1.02, 95%CI, 1.02-1.02) were associated with an increased risk of osteoporosis, while males (AOR = 0.04, 95%CI, 0.04-0.04), higher education level (AOR = 0.95, 95%CI, 0.95-0.95), and aquatic product intake (AOR = 0.99, 95%CI, 0.99-0.99) were related to decreased risk of osteoporosis. Similar results were also observed in rural populations, and (all P < 0.05).
conclusionThe prevalence of osteoporosis in rural populations was higher than that in urban populations, and the factors associated with the risk of osteoporosis were similar in urban and rural populations.
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