Evidence map›Paper›PMID 38804031›Full record

ArticleYonsei medical journal2024

The Association between Social Support, Metabolic Syndrome, and Incidence of Cardio-Cerebrovascular Diseases in Older Adults: The ARIRANG Study.

Hae-Kweun Nam, Sei-Jin Chang, Chun-Bae Kim, Kyoung Sook Jeong, Sung-Kyung Kim, Dae Ryong Kang, Yong Whi Jeong, Hocheol Lee, Bo Zhao, Sang-Baek Koh

Abstract read
In one paragraph

Article in Yonsei medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  6. [Research on multi-scale convolutional neural network hand muscle strength prediction model improved based on convolutional attention module].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
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  8. Observational
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

10 authors.

Hae-Kweun NamDepartment of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea. namhk@yonsei.ac.kr.ORCID https://orcid.org/0000-0002-3353-6990
Sei-Jin ChangDepartment of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0001-9347-3592
Chun-Bae KimDepartment of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0002-1979-6833
Kyoung Sook JeongDepartment of Occupational and Environmental Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0002-6897-8289
Sung-Kyung KimDepartment of Occupational and Environmental Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0002-2742-6410
Dae Ryong KangDepartment of Precision Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0002-8792-9730
Yong Whi JeongDepartment of Medical Informatics and Biostatistics, Graduate School, Yonsei University, Wonju, Korea.ORCID https://orcid.org/0000-0003-4746-5764
Hocheol LeeDepartment of Health Administration, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju, Korea.ORCID https://orcid.org/0000-0003-1467-8843
Bo ZhaoDepartment of Health Administration, Graduate School, Yonsei University, Wonju, Korea.ORCID https://orcid.org/0000-0002-6780-1633
Sang-Baek KohDepartment of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0001-5609-6521

Funding

Korea Centers for Disease Control and Prevention 2005-E71013-00Korea Centers for Disease Control and Prevention 2006-E71002-00Korea Centers for Disease Control and Prevention 2007-E71013-00Korea Centers for Disease Control and Prevention 2008-E71004-00Korea Centers for Disease Control and Prevention 2009-E71006-00Korea Centers for Disease Control and Prevention 2010-E71003-00National Research Foundation of Korea 2022RIS-005
6 · The paper itself

Abstract

purposeWe investigated the association between social support, metabolic syndrome, and incident cardio-cerebrovascular disease (CCVD) in rural Koreans aged ≥50 years. MATERIALS AND

methodsWe conducted a prospective study using the Korean Genome and Epidemiology Study on Atherosclerosis Risk of Rural Areas in the Korean General Population (KoGES-ARIRANG) dataset. From the baseline of 5169 adults, 1682 participants were finally included according to the exclusion criteria. For outcomes, myocardial infarction, angina, and stroke were included. For independent variables, the social support score and metabolic syndrome were used. Descriptive statistics and multivariate logistic regression were performed to investigate the association among the variables. Paired t-test was conducted to analyze the longitudinal variation of social support scores.

resultsDuring the 6.37 years of median follow-up, 137 participants developed CCVD. The adjusted odds ratio (aOR) of metabolic syndrome with persistently high social support was 2.175 [95% confidence interval (CI): 1.479-3.119]. The aOR of metabolic syndrome with persistently low social support was 2.494 (95% CI: 1.141-5.452). The longitudinal variation of the social support score of persistently high social support group was increased significantly by 4.26±26.32. The score of the persistently low social support group was decreased by 1.34±16.87 with no statistical significance.

conclusionThe presence of metabolic syndrome increases the likelihood of developing onset CCVD. Within the metabolic syndrome positive group, when social support was persistently low, the cohort developed more cardio-cerebrovascular disease compared to the persistently higher social support group. The social support score of the persistently low social support group could be improved through proper intervention. To prevent CCVD, metabolic syndrome components and low social support should be improved in the study participants.

Indexed as

Cerebrovascular DisordersMetabolic SyndromeSocial SupportAgedCardiovascular DiseasesFemaleHumansIncidenceLogistic ModelsMaleMiddle AgedOdds RatioProspective StudiesRepublic of KoreaRisk FactorsRural PopulationIncident cardio-cerebrovascular diseasemetabolic syndromepublic healthsocial support

Identifiers

PMID38804031
PMCPMC11130590

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LicenceCC BY-NC
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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.