Evidence map›Paper›PMID 40604678›Full record

ArticleBMC public health2025

Evaluation of a health promotion program based on Community-based Participatory Research for older adults at risk for metabolic syndrome: a mixed methods study.

Juhyeon Yang, Bohyun Park

Abstract read
In one paragraph

Article in BMC public health, 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

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

1 citing paper in PubMed.

  1. 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

2 authors.

Juhyeon YangDepartment of Nursing, Kaya University, 208 Samgye-Ro, Gimhae-Si, Gyeongsangnam-Do, 50830, Republic of Korea.
Bohyun ParkDepartment of Nursing, Changwon National University, 20, Changwondaehak-Ro, Uichang-gu, Changwon-Si, Gyeongsangnam-do, 51140, Republic of Korea. bhpark@changwon.ac.kr.

Funding

the National Research Foundation of Korea 2020R1A2C1008591
6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the effects of a health promotion program developed using Community-Based Participatory Research (CBPR) for older adults at risk for developing metabolic syndrome in rural areas of South korea.

methodsThe methodology of this study is a mixed method using embedded design. A non-random controlled trial (28 in the experimental group and 36 in the control group) for the quantitative study and a qualitative content analysis for the qualitative study were used.

resultsAfter the health promotion program, health promotion behavior (exercise and physical activity, cognitive maintenance function, positive acceptance) and physiological indicators related to metabolic syndrome (fast blood sugar, triglyceride, and body mass index) were significantly improved. At the intrapersonal level, positive changes regarding participants' bodies, daily life, and emotional satisfaction were noted. At the interpersonal level, participants' social support and sense of community improved.

conclusionsThis health promotion program was based on the Social Ecological Model and was developed using CBPR. Changes in some indicators at the individual and interpersonal levels were identified through the quantitative study, while specific changes at the individual, interpersonal, and community levels were identified in the qualitative study. Manuals and an assessment tool must be developed to encourage wider use of CBPR.

Indexed as

Community-Based Participatory ResearchHealth PromotionMetabolic SyndromeAgedFemaleHumansMaleMiddle AgedProgram EvaluationQualitative ResearchRepublic of KoreaCommunity-Based Participatory Research (CBPR)ElderlyHealth promotionMetabolic syndromeMixed methodRural areas

Identifiers

PMID40604678
PMCPMC12217375

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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.