Evidence map›Paper›PMID 39046736›Full record

ArticleJAMA network open2024

Social Isolation Changes and Long-Term Outcomes Among Older Adults.

Chen Lyu, Katherine Siu, Ian Xu, Iman Osman, Judy Zhong

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
–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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  18. Observational
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  20. Global Warming and the Elderly: A Socio-Ecological Framework.International journal of environmental research and public health · 2026
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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

5 authors.

Chen LyuDivision of Biostatistics, Department of Population Health, New York University Langone Medical Center, New York.
Katherine SiuDivision of Biostatistics, Department of Population Health, New York University Langone Medical Center, New York.
Ian XuDivision of Biostatistics, Department of Population Health, New York University Langone Medical Center, New York.
Iman OsmanDepartment of Medicine, New York University Langone Medical Center, New York.
Judy ZhongDivision of Biostatistics, Department of Population Health, New York University Langone Medical Center, New York.

Funding

EHR-based vs population-based CVD risk predictions for older patients with diabetesR01AG065330 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI ZHONG, HUA JUDY · 2020 to 2024
$2.9M
CVD Risk and Outcome Heterogeneity in Older Adults with DiabetesR01AG054467 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ZHONG, HUA JUDY · 2017 to 2020
$1.7M
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record DataR01LM013344 · NLM · WEILL MEDICAL COLL OF CORNELL UNIV · PI SMYTH, PADHRAIC, ZHONG, HUA JUDY · 2021 to 2024
$1.3M
NIA NIH HHS R01 AG054467NIA NIH HHS R01 AG065330NLM NIH HHS R01 LM013344
6 · The paper itself

Abstract

Importance: While the association between cross-sectional measures of social isolation and adverse health outcomes is well established, less is known about the association between changes in social isolation and health outcomes. Objective: To assess changes of social isolation and mortality, physical function, cognitive function, cardiovascular disease (CVD), and stroke. Design, Setting, and Participants: In a cohort design, social isolation changes in 4 years and subsequent risk of mortality and other outcomes were assessed using the 13 649 eligible Health and Retirement Study (HRS) respondents from the 2006 to 2020 waves. Data were analyzed from October 11, 2023, to April 26, 2024. Exposure: The main exposure was the change in social isolation measured by the Steptoe 5-item Social Isolation Index from the initial assessment to a second assessment conducted 4 years later. Participants were classified into decreased isolation, stable, or increased isolation groups, stratified by their baseline isolation status. Main Outcomes and Measures: The primary outcomes were mortality, self-reported dependencies in activities of daily living, Alzheimer disease and Alzheimer disease-related dementia, CVD, and stroke. Dementia, CVD, and stroke were assessed using HRS-linked Medicare records. Incidence rates (IRs) of each group were estimated and a Cox proportional hazards regression model was used, with inverse-probability treatment weighting to adjust for confounders. Results: Among 13 649 participants (mean [SD] age at baseline, 65.3 [9.5] years; 8011 [58.7%] women) isolated at baseline, those with increased isolation had higher mortality (n = 693; IR = 68.19; 95% CI, 60.89-76.36 per 1000 person-years) than those who were stable (n = 1796; IR = 44.02; 95% CI, 40.47-47.88 person-years) or had decreased isolation (n = 2067; IR = 37.77; 95% CI, 34.73-41.09 person-years) isolation. Increased isolation was associated with higher risks of mortality (adjusted hazard ratio [AHR], 1.29; 95% CI, 1.09-1.51), disability (AHR, 1.35; 95% CI, 1.09-1.67), and dementia (AHR, 1.40; 95% CI, 1.02-1.93) compared with stable isolation. Similar findings were observed among socially nonisolated participants at baseline. Conclusions and Relevance: In this cohort study, increased isolation was associated with elevated risks of mortality, disability, and dementia, irrespective of baseline isolation status. These results underscore the importance of interventions targeting the prevention of increased isolation among older adults to mitigate its adverse effects on mortality, as well as physical and cognitive function decline.

Indexed as

Social IsolationActivities of Daily LivingAgedAged, 80 and overCardiovascular DiseasesCohort StudiesDementiaFemaleHumansMaleMortalityStrokeUnited States

Identifiers

PMID39046736
PMCPMC11270134

What OpenQuestion holds

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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.