Evidence map›Paper›PMID 39175592›Full record

ArticlePreventive medicine reports2024

Knowledge, attitude, and practice toward sarcopenia among older adults in two cities in Zhejiang province, China.

Hong Fan, Mengqi Li, Chenghui Zhang, Haigang Sun, Suying Shi, Beiyan Ma

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

7 citing papers in PubMed.

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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

6 authors.

Hong FanDepartment of Geriatrics, Shaoxing People's Hospital, Shaoxing 312000, Zhejiang, China.
Mengqi LiSchool of Medicine, Shaoxing University, Shaoxing 312000, Zhejiang, China.
Chenghui ZhangSchool of Medicine, Shaoxing University, Shaoxing 312000, Zhejiang, China.
Haigang SunShaoxing Yuecheng District Fushan Street Community Health Service Center, Shaoxing 312000, Zhejiang, China.
Suying ShiNursing Department, Shaoxing Yuecheng District Beihai Street Community Health Service Center, Shaoxing 312000, Zhejiang, China.
Beiyan MaInternal Medicine Clinic, Yongkang First People's Hospital, Yongkang 321300, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the knowledge, attitudes, and practice (KAP) towards sarcopenia among older adults in Zhejiang province, China. Methods: This cross-sectional study was conducted between April 2023 and January 2024 among older community residents who participated in a physical examination in Shaoxing People's Hospital Physical Examination Center, Shaoxing Yuecheng District Fushan Street Community Health Service Center, Shaoxing Yuecheng District Beihai Street Community Health Service Center, Shaoxing City, and Outpatient Department of Yongkang First People's Hospital. Their demographic characteristics and KAP towards sarcopenia were collected by a self-designed questionnaire. Structural equation modeling (SEM) was used to explore the relationship among KAP dimensions. Results: A total of 1092 valid questionnaires were included. The median knowledge, attitude, and practice scores were 0 (0, 0) (possible range: 0-22), 31 (30, 31) (possible range: 8-40), and 17 (15, 21) (possible range: 6-30), respectively. The SEM showed that knowledge directly positively influenced attitude (β = 0.121, P < 0.001) and practice (β = 0.171, P < 0.001). Attitude directly positively influenced practice (β = 0.116, P < 0.001); therefore, the knowledge showed an indirect influence on practice via attitude. Conclusion: Older adults in two cities in Zhejiang province, China, showed insufficient knowledge but moderate attitude and practice towards sarcopenia. It is imperative to design interventions to improve knowledge about sarcopenia and improve self-management and patient outcomes.

Indexed as

ChinaCross-sectional studyKnowledge, attitude, practiceOlder adultsSarcopenia

Identifiers

PMID39175592
PMCPMC11339043

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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.