Evidence map›Paper›PMID 42609789›Full record

ArticleClinical interventions in aging2026

Osteoporosis Knowledge of Older Women with Fragility Fractures: A Cross-Sectional Study Based on Latent Profile Analysis.

Mengqi Shao, Qingqing Su, Mingxuan Liu, Chen Qiu, Mi Song, Jianan Li, Nan Tang, Youting Wang, Mingxing Lei, Jie Song and 1 more

Abstract read
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Article in Clinical interventions in aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Mengqi Shao *Department of Cardiovasology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.ORCID 0009-0003-6338-3766
Qingqing Su *Department of Nursing, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Mingxuan Liu *Department of Nursing, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Chen QiuMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Mi SongDepartment of Nursing, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.ORCID 0000-0002-4520-8687
Jianan LiMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Nan TangMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Youting WangMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Mingxing LeiDepartment of Nursing, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Jie SongDepartment of Nursing, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.ORCID 0000-0002-9399-3018
Yuan GaoDepartment of Nursing, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate osteoporosis knowledge (OK) profiles among older women with fragility fractures using latent profile analysis, identify subgroup characteristics, and explore associated factors. Methods: A cross-sectional survey was conducted among 9212 older women with fragility fractures covering 31 provinces in China from September to November 2023. The survey utilized a self-designed general information questionnaire and the Chinese version of the Osteoporosis Knowledge Assessment Tool. Univariate analysis and logistic regression were employed to analyze associated factors. Latent Profile Analysis was applied to classify the older women with fragility fractures based on their OK levels, and multinomial logistic regression was used to identify factors influencing their OK levels. Results: Older women with fragility fractures were classified into five distinct latent profiles according to their OK levels: Low OK group (9.9%), Medium-Low OK group (11.1%), High OK group (50.9%), Medium OK group (18.8%), and High awareness and low management group (9.3%). Key factors influencing the classification of OK levels included marital status, BMI, education level, filial care, postoperative self-care ability, receipt of anti-osteoporosis therapy, use of calcium or vitamin D supplements, perceived necessity of fall prevention, receipt of health education, content of health education, and methods of health education delivery. Conclusion: The OK levels of older women with fragility fractures can be stratified into five distinct profiles. Understanding the heterogeneity of OK levels and its associated factors among this population offers valuable insights for healthcare professionals to formulate targeted interventions. This study makes a significant contribution to the advancement of secondary prevention strategies for osteoporosis.

Indexed as

Health Knowledge, Attitudes, PracticeOsteoporosisOsteoporotic FracturesAccidental FallsAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansLogistic ModelsSurveys and Questionnairesagedcross-sectional studyfragility fractureslatent profile analysisosteoporosis knowledge assessment toolwomen

Identifiers

PMID42609789
PMCPMC13480166

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.