Evidence map›Paper›PMID 40999407›Full record

ArticleBMC public health2025

Loneliness, social isolation and stroke risk in men and women with and without diabetes.

Xiu Wu, Yuanhao Zu, Xuan Wang, Yilin Yoshida

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiu WuSection of Endocrinology and Metabolism, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA.
Yuanhao ZuSection of Endocrinology and Metabolism, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA.
Xuan WangDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Yilin YoshidaSection of Endocrinology and Metabolism, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA. yyoshida1@tulane.edu.ORCID http://orcid.org/0000-0003-0441-2697

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Sex-Based Precision Medicine Research CoreP20GM152305 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Marie Krousel-Wood, Mark Mondrinos · 2024 to 2026
$8.9M
American Diabetes Association 7-23-JDFWH-10National Institute of General Medical Sciences of the National Institutes of Health 1P20GM152305NIGMS NIH HHS P20 GM152305NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

introductionWe evaluated the association between loneliness, social isolation, and stroke risk in individuals with and without diabetes and assessed sex differences in these associations. RESEARCH DESIGN AND

methodsFrom the UK Biobank Study, we included 40,684 participants with diabetes (mean age 51.25, 12.5% women, 88.65% white) (self-reported diabetes diagnosis, diabetes medication, HbA1c > 6.5%, or ICD codes) and those without (1:1 matched on sex, race, age, and center). We used Cox regression to examine the association between loneliness, social isolation, and stroke risk and estimated the absolute risk reduction (ARR) of strokes in diabetes and euglycemic groups separately. We also performed Cox regression to evaluate the excess stroke risk associated with diabetes (vs. euglycemic controls) across levels of loneliness and social isolation.

resultsDuring a median follow-up of 12 years, within the diabetes cohort, lower levels of loneliness and social isolation were associated with reduced stroke risk (Hazard ratio [HR] for loneliness 0.73, 95% CI 0.62-0.86; social isolation 0.83, 0.72-0.97), and such associations were significantly stronger in men than women (HR for loneliness 0.63, 0.52-0.77 in men, 0.96, 0.72-1.29 in women, p-interaction = 0.02; HR for social isolation 0.79, 0.65-0.95 in men, 0.93, 0.72-1.22 in women, p-interaction = 0.05). ARR related to improved loneliness and social isolation was 1.3% and 0.4% in the diabetes group (equivalent to 13 and 4 stroke cases per 1000 people with diabetes, respectively, during the 12-year period), respectively. As the index of loneliness and social isolation went from highest to lowest, the adjusted stroke risk decreased by 65% and 8%, respectively, in people with diabetes vs. those without.

conclusionsImproved loneliness and social isolation may mitigate excess stroke risk in people with diabetes, particularly in men with diabetes.

Indexed as

Diabetes MellitusLonelinessSocial IsolationStrokeAdultAgedFemaleHumansMaleMiddle AgedProportional Hazards ModelsRisk AssessmentRisk FactorsSex FactorsUnited KingdomDiabetesLonelinessSex differencesSocial isolationStroke

Identifiers

PMID40999407
PMCPMC12465667

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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.