ArticleInternational journal of clinical and experimental medicine2015
A cross-sectional study to estimate associations between education level and osteoporosis in a Chinese postmenopausal women sample.
Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.Frontiers in medicine · 2025Article
- Prevalence and risk factors of osteoporosis and osteopenia among residents in Hubei province, China.Archives of osteoporosis · 2023Article
- Article
- Economic inequalities amongst women with osteoporosis-related fractures: an application of concentration index decomposition.Health promotion perspectives · 2016Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOur research aims to investigate the associations between education level and osteoporosis (OP) in Chinese postmenopausal women.
methodsA large-scale, community-based, cross-sectional study was conducted to examine the associations between education level and OP. A self-reported questionnaire was used to access the demographical information and medical history of the participants. A total of 1905 postmenopausal women were available for data analysis in this study. Multiple regression models controlling for confounding factors to include education level were performed to investigate the relationship with OP.
resultsThe prevalence of OP was 28.29% in our study sample. Multivariate linear regression analyses adjusted for relevant potential confounding factors detected significant associations between education level and T-score (β = 0.025, P-value = 0.095, 95% CI: -0.004-0.055 for model 1; and β = 0.092, P-value = 0.032, 95% CI: 0.008-0.175 for model 2). Multivariate logistic regression analyses detected significant associations between education level and OP in model 1 (P-value = 0.070 for model 1, Table 5), while no significant associations was reported in model 2 (P value = 0.131). In participants with high education levels, the OR for OP was 0.914 (95% CI: 0.830-1.007).
conclusionThe findings indicated that education level was independently and significantly associated with OP. The prevalence of OP was more frequent in Chinese postmenopausal women with low educational status.
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26885032PMC4723877What OpenQuestion holds
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