Evidence map›Paper›PMID 41583713›Full record

ArticleJournal of Korean gerontological nursing2025

Effects of a spousal participation health promotion program for middle-aged and old men who have undergone percutaneous coronary intervention based on Cox's Interaction Model: A quasi-experimental study with nonequivalent control group pre- and post-test design.

Kyung Shim Lee, Kyung Mi Sung

Abstract read
In one paragraph

Article in Journal of Korean gerontological nursing, 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.

Kyung Shim LeeAssistant Professor, Nursing Department, Suncheon Jeil College, Suncheon, Korea.ORCID 0000-0002-5436-3216
Kyung Mi SungProfessor, College of Nursing ∙ Sustainable Health Research Institute, Gyeongsang National University, Jinju, Korea.ORCID 0000-0001-9919-4252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To examine the effects of a spousal participation health promotion program (health promotion program, HPP) based on Cox's Interaction Model of supporting husbands' health behavior compliance following a percutaneous coronary intervention (PCI). Methods: This study was a nonequivalent control group pretest-posttest design. A total of 52 participants (26 in each group) completed the study. The researchers conducted pretest and posttest at 12-week intervals on 26 control groups. Those in the 26 experimental groups attended in the entire 12-week program with pretest and posttest. Also, 10 control groups who wished to receive the intervention were given the opportunity to participate in the HPP for 3 weeks and were provided with the materials used from weeks 4 through 12 after completion of the study. Descriptive statistics, independent t-test, paired t-test, Mann-Whitney U-test, and a Wilcoxon signed rank test were conducted. Results: Spousal participation HPP was effective in promoting participants' marital compatibility and health behavior compliance. Conclusion: Spousal participation HPP was an effective intervention for reducing body mass index, total cholesterol, triglyceride, and low-density lipoprotein, enhancing marital harmony, and promoting health behavior compliance among middle-aged and older men who underwent PCI. Therefore, it is recommended to actively utilize the spousal participation HPP as an effective intervention strategy for health management of this population.

Indexed as

AgedHealth promotionMenPercutaneous coronary interventionSpouses

Identifiers

PMID41583713
PMCPMC12719986

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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.