Evidence map›Paper›PMID 41050851›Full record

ArticlePreventive medicine reports2025

Knowledge, attitude, and practice towards postmenopausal osteoporosis among postmenopausal women: A cross-sectional study.

Feng Xiong, Aoqi Zang, Zhe Xu, Qingyi Cao, Ziquan Shen, Feng Qian, Hui Xu

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Beyond postmenopausal osteoporosis: reply to comments by Ömer Faruk Öz.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Feng XiongDepartment of orthopedic, Bengbu First People's Hospital, Bengbu, AnHui 233000, China.
Aoqi ZangDepartment of Cardiology, Bengbu First People's Hospital, Bengbu, AnHui 233000, China.
Zhe XuDepartment of orthopedic, Bengbu First People's Hospital, Bengbu, AnHui 233000, China.
Qingyi CaoDepartment of orthopedic, Bengbu First People's Hospital, Bengbu, AnHui 233000, China.
Ziquan ShenDepartment of orthopedic, Bengbu First People's Hospital, Bengbu, AnHui 233000, China.
Feng QianDepartment of orthopedic, Bengbu First People's Hospital, Bengbu, AnHui 233000, China.
Hui XuDepartment of Anesthesiology, Bengbu First People's Hospital, Bengbu, AnHui 233000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Postmenopausal osteoporosis, affecting 33 % of women over 60 in China, increases fracture risks and significantly impacts quality of life. This condition leads to physical disability and psychological distress, underscoring the need for targeted interventions. This study aimed to assess the knowledge, attitude, and practice (KAP) of postmenopausal women concerning postmenopausal osteoporosis and explore associated factors. Methods: A cross-sectional study was conducted from June 29 to September 8, 2024, at the First People's Hospital of Bengbu City using a self-administered questionnaire to assess KAP, and data were analyzed using descriptive statistics and nonparametric tests. Results: A total of 459 valid participants in the study, of whom 166 (36.17 %) were diagnosed with postmenopausal osteoporosis. Among those diagnosed with osteoporosis, 65 (39.16 %) received systematic treatment. The mean scores for knowledge, attitude, and practice were 10.03 ± 5.47 (range: 0-28), 28.03 ± 3.07 (range: 8-40), and 21.87 ± 5.10 (range: 7-35), respectively. Conclusion: While postmenopausal women demonstrated insufficient knowledge and inadequate practices, targeted educational efforts may help improve osteoporosis-related behaviors and outcomes. These findings highlight the need for targeted educational interventions to improve osteoporosis-related knowledge and encourage proactive behaviors in managing the disease.

Indexed as

Cross-sectional studyHealth educationKAPPostmenopausal osteoporosisPostmenopausal women

Identifiers

PMID41050851
PMCPMC12491738

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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.