Evidence map›Paper›PMID 41721440›Full record

ArticleBMC research notes2026

Effectiveness and improving program adherence among the older adults through competitive health promotion activities.

Chia-Pang Shih, Szu-Sheng Kuang, Shu-Chuan Weng

Abstract read
In one paragraph

Article in BMC research notes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Chia-Pang ShihDepartment of Management, Chung Shan Medical University Hospital, 402 No. 110, Section 1, Jianguo North Road, Taichung City, Taiwan.
Szu-Sheng KuangGeneral Education Center, Yuanpei University of Medical Technology, 30015 Yuanpei Street, Hsinchu City, Taiwan.
Shu-Chuan WengDepartment of Gerontological Health Care, Yuanpei University of Medical Technology, 30015 Yuanpei Street, Hsinchu City, Taiwan. scweng303@mail.ypu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWith an aging global population, falls are a major health concern, leading to more injuries and higher healthcare costs. Exercise is vital to keep older adults active and lower their fall risk, but maintaining participation can be difficult. This study was conducted in two townships in Hsinchu County, Taiwan, involving two senior activity centers and participants aged 64 years and older who took part in an eight-week lower-limb muscle-strengthening program. One of the senior activity centers incorporated competitive games to motivate participation. The study aimed to determine whether adding competitive elements to a lower-limb strength training program could improve adherence and muscle strength among community-dwelling older adults.

resultsSeventeen participants from each group completed the program. Although the regular group initially had more participants, the completion rate was significantly higher in the competitive group, indicating that competition may increase engagement in the program. Overall, competitive health promotion activities were associated with higher completion rate among older adults. Future research should include a broader participant base and investigate different motivational strategies to encourage ongoing participation in physical activity.

Indexed as

ExerciseHealth PromotionPatient ComplianceProgram EvaluationResistance TrainingAgedFemaleHumansMaleMiddle AgedMotivationMuscle StrengthTaiwanAdherenceCompeting exercise programEffectivenessMedical costsMuscle strengthOlder adults

Identifiers

PMID41721440
PMCPMC13032383

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LicenceCC BY-NC-ND
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Registered trials

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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.