Evidence map›Paper›PMID 32675290›Full record

ArticleBMJ open diabetes research & care2020

Associations between social network properties and metabolic syndrome and the mediating effect of physical activity: findings from the Cardiovascular and Metabolic Diseases Etiology Research Center (CMERC) Cohort.

Kwanghyun Kim, Sun Jae Jung, Jong Min Baek, Hyeon Woo Yim, Hyunsuk Jeong, Dae Jung Kim, Sungha Park, Yoosik Youm, Hyeon Chang Kim

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 11% of its field
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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Expanding social networks through physical activity: implications for cardiometabolic health.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2026
    Trial
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  4. Review
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  10. Loneliness: An Immunometabolic Syndrome.International journal of environmental research and public health · 2021
    Review
  11. Introduction to Mediation Analysis and Examples of Its Application to Real-world Data.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2021
    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

9 authors at 5 institutions in 2 countries.

Kwanghyun KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seodaemun-gu, Republic of Korea.ORCID 0000-0001-9552-5085
Sun Jae JungDepartment of Preventive Medicine, Yonsei University College of Medicine, Seodaemun-gu, Republic of Korea sunjaejung@yuhs.ac.ORCID 0000-0002-5194-7339
Jong Min BaekDepartment of Preventive Medicine, Yonsei University College of Medicine, Seodaemun-gu, Republic of Korea.
Hyeon Woo YimDepartment of Preventive Medicine, Catholic University of Korea, Seoul, Republic of Korea.
Hyunsuk JeongDepartment of Preventive Medicine, Catholic University of Korea, Seoul, Republic of Korea.
Dae Jung KimDepartment of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Republic of Korea.
Sungha ParkYonsei Health System Cardiology Hospital Division of Cardiology, Yonsei University College of Medicine, Seodaemun-gu, Republic of Korea.
Yoosik YoumDepartment of Sociology, Yonsei University, Seodaemun-gu, Republic of Korea.
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seodaemun-gu, Republic of Korea.ORCID 0000-0001-7867-1240
Yonsei University · KRCatholic University of Korea · KRAjou University · KRHarvard University · USYonsei University Health System · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSocial isolation and loneliness are positively associated with metabolic syndrome. However, the mechanisms by which social isolation affects metabolic syndrome are not well understood. RESEARCH DESIGN AND

methodsThis study was designed as a cross-sectional study of baseline results from the Cardiovascular and Metabolic Diseases Etiology Research Center (CMERC) Cohort. We included 10 103 participants (8097 community-based low-risk participants, 2006 hospital-based high-risk participants) from the CMERC Cohort. Participants aged 65 years or older were excluded. Multiple imputation by chained equations was applied to impute missing variables. The quantitative properties of social networks were assessed by measuring the 'size of social networks'; qualitative properties were assessed by measuring the 'social network closeness'. Metabolic syndrome was defined based on the National Cholesterol Education Program Adult Treatment Panel III criteria. Multivariate logistic regression analyses were conducted to assess association between social network properties and metabolic syndrome. The mediating effects of physical inactiveness, alcohol consumption, cigarette smoking and depressive symptoms were estimated. Age-specific effect sizes were estimated for each subgroup.

resultsA smaller social network was positively associated with higher prevalences of metabolic syndrome in all subgroups, except the high-risk male subgroup. There was no clear association between social network closeness and metabolic syndrome. In community-based participants, an indirect effect through physical activity was detected in both sexes; however, in hospital-based participants, no indirect effects were detected. Cigarette smoking, alcohol consumption and depression did not mediate the association. Age-specific estimates showed that the indirect effect through physical activity had a greater impact in older participants.

conclusionsA smaller social network is positively associated with metabolic syndrome. This trend could be partially explained by physical inactivity, especially in older individuals.

Indexed as

Metabolic DiseasesMetabolic SyndromeAdultAgedCross-Sectional StudiesExerciseFemaleHumansMaleSocial Networkingmetabolic syndromephysical activity and healthpublic healthsocial determinants

Identifiers

PMID32675290
PMCPMC7368478
OpenAlexW3043693142

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.