Evidence map›Paper›PMID 40603408›Full record

ArticleScientific reports2025

Factors influencing cardiovascular health behaviors among Korean-Chinese migrant workers with metabolic syndrome using mixed methods.

Yu Zhu Zhang, Seon Young Hwang

Abstract read
In one paragraph

Article in Scientific 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

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.

Yu Zhu ZhangDepartment of Nursing, College of Medicine, Jiaxing University, Jiaxing, 314001, China.ORCID http://orcid.org/0000-0002-0187-4303
Seon Young HwangCollege of Nursing, Center for Nursing Science, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea. seon9772@hanyang.ac.kr.ORCID http://orcid.org/0000-0003-3613-3350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined factors influencing health behaviors for cardiovascular disease prevention among Korean-Chinese migrant workers with metabolic syndrome in South Korea, using an ecological model-based mixed-methods approach. An explanatory sequential design was applied. Data were collected from 204 participants in the Seoul metropolitan area, assessing intrapersonal, interpersonal, institutional, and community-level variables. Participants had a mean age of 51.4 ± 6.3 years; 55.4% were female, and their average length of stay in Korea was 10.8 ± 4.8 years. Hierarchical regression analysis showed that being female (β = 0.25, p < .001), having lower depression levels (β = -0.09, p = .037), higher internal health locus of control (β = 0.26, p < .001), and occupation type (β = -0.11, p = .006) were significant predictors at the intrapersonal level, while social support (β = 0.43, p < .001) was significant at the interpersonal level (Adj. R² = 0.747, p < .001). Content analysis of qualitative data from 12 in-depth interviews identified barriers such as lacks of MetS risk awareness and motivation for lifestyle changes, while highlighting social support and culturally appropriate health education as facilitators. Korean-Chinese workers face multiple challenges in adopting healthy behaviors due to demanding work conditions and limited resources. Interventions to improve mental health, enhance personal motivation, and provide culturally tailored, occupation-specific education and support are essential to promote cardiovascular health in this vulnerable population.

Indexed as

Cardiovascular DiseasesHealth BehaviorMetabolic SyndromeTransients and MigrantsAdultChinaEast Asian PeopleFemaleHumansMaleMiddle AgedRepublic of KoreaSocial SupportCardiovascular diseaseHealth behaviorsMetabolic syndromeMigrant workers

Identifiers

PMID40603408
PMCPMC12222670

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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.