Evidence map›Paper›PMID 40855303›Full record

ArticlePopulation health metrics2025

Comparative impact of social isolation on mortality in adults aged 40 years and above with versus without metabolic syndrome: evidence from two large cohorts in the U.S. and U.K.

Siying Liu, Cihang Lu, Bingxin You, Qiqiang Guo, Tingting Liu, Yongze Li

Abstract readComparative Study
In one paragraph

Article in Population health metrics, 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

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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

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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

6 authors.

Siying Liu *Department of Endocrinology and Metabolism and the Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, First Hospital of China Medical University, Shenyang, China.
Cihang Lu *Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, China.
Bingxin YouSchool of Management, University College London, London, UK.
Qiqiang GuoThe College of Basic Medical Science, Health Sciences Institute, China Medical University, Shenyang, China. qqguo@cmu.edu.cn.
Tingting LiuDepartment of Endocrinology and Metabolism and the Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, First Hospital of China Medical University, Shenyang, China. liutt@cmu.edu.cn.
Yongze LiDepartment of Endocrinology and Metabolism and the Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, First Hospital of China Medical University, Shenyang, China. yzli87@cmu.edu.cn.

Funding

National Natural Science Foundation of China 82470826
6 · The paper itself

Abstract

introductionSocial isolation is increasingly recognized as a significant public health concern associated with mortality risk. However, whether the impact of social isolation on mortality differs between individuals with and without metabolic syndrome (MetS) remains unclear. This study aimed to investigate the associations of social isolation with all-cause mortality, cardiovascular mortality (CVDM), cancer mortality (CAM), other cause mortality (OTM), and premature mortality in MetS and non-MetS populations using data from large cohorts in the UK and the US.

methodsThis study analyzed data from 75,190 participants with metabolic syndrome (MetS) and 229,388 participants without MetS in the UK Biobank, as well as 5758 MetS participants and 7448 non-MetS participants from the U.S. National Health and Nutrition Examination Survey (NHANES). All participants included in the study were aged 40 years or above. The identification of MetS was based on a comprehensive assessment of multiple biochemical indicators, including waist circumference, blood glucose, blood pressure, and blood lipid levels. Social isolation was evaluated using information on marital status, household size, frequency of contact with family and friends, and engagement in social activities. The primary outcomes included all-cause mortality, cardiovascular mortality, cancer mortality, other-cause mortality, and premature mortality, defined as death before the age of 70. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between social isolation and various mortality outcomes. In addition, interaction and subgroup analyses were conducted to explore the potential modifying effects of MetS status, as well as lifestyle and other risk factors, on the relationship between social isolation and mortality.

resultsIn the UK Biobank, the rates of all-cause mortality, CVDM, CAM, OTM, and premature mortality among participants with MetS were 9.07%, 1.48%, 4.22%, 3.36%, and 1.98%, respectively; the corresponding rates among participants without MetS were 4.81%, 0.51%, 2.61%, 1.68%, and 2.47%. In NHANES, the respective mortality rates among individuals with MetS were 26.20%, 9.24%, 6.15%, 10.85%, and 13.90%, and among those without MetS were 25.80%, 8.13%, 6.31%, 11.30%, and 14.10%. Cox regression analyses showed that, in the fully adjusted models, social isolation was significantly associated with increased risks of all-cause mortality, CVDM, CAM, OTM, and premature mortality in both individuals with and without MetS. In the UK Biobank, the HRs for participants with MetS were 1.30, 1.21, 1.12, 1.38, and 1.39, respectively; for those without MetS, the HRs were 1.51, 1.75, 1.30, 1.76, and 1.54, respectively. In the U.S. NHANES, the HRs for the MetS group were 1.14, 1.54, 1.48, 1.71, and 1.09, respectively; while for the non-MetS group, the HRs were 1.60, 1.75, 1.47, 1.56, and 1.39, respectively. The results of the interaction and sensitivity analyses were consistent.

conclusionsCompared to individuals without MetS, those with MetS have higher mortality rates. Moreover, social isolation is associated with increased mortality regardless of MetS status. It is a risk factor for all-cause mortality, CVDM, CAM, OTM, and premature mortality in both MetS and non-MetS populations. Notably, the impact of social isolation on all-cause, cardiovascular, and premature mortality is more pronounced in individuals without MetS. Public health strategies should focus on population-wide interventions to reduce social isolation, enhance social engagement, and improve overall health and longevity, rather than targeting only high-risk groups.

Indexed as

Metabolic SyndromeMortalitySocial IsolationAdultAgedCardiovascular DiseasesCause of DeathCohort StudiesFemaleHumansMaleMiddle AgedMortality, PrematureNeoplasmsNutrition SurveysRisk FactorsCohort analysisComparative analysisMetabolic syndromeMortalitySocial isolationTwo population-based cohorts

Identifiers

PMID40855303
PMCPMC12376449

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LicenceCC BY-NC-ND
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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.