Evidence map›Paper›PMID 42064939›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Characterizing Loneliness and Health in US Adults: An analysis of 2024 National Health Interview Survey.

Troy C Dildine, Colleen Burke, Flavia P Kapos

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Troy C DildineAnesthesiology, Perioperative, and Pain Medicine Department, Stanford University School of Medicine, Stanford, California, United States.ORCID 0000-0002-0892-7527
Colleen BurkeDepartment of Population Health Sciences, Duke University School of Medicine Durham, North Carolina, United States.
Flavia P KaposDepartment of Orthopaedic Surgery & Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States.ORCID 0000-0002-6224-273X

Funding

Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
Social Health Factors Associated with the Transition from Acute to Chronic Low Back PainF31AR084911 · NIAMS · DUKE UNIVERSITY · PI Colleen Burke · 2024 to 2026
$134k
NIAMS NIH HHS F31 AR084911NIDA NIH HHS T32 DA035165
6 · The paper itself

Abstract

Background: Loneliness is common and deleterious to health. Yet little is known about its population burden and health correlates in the US. We aimed to determine the prevalence of loneliness and characterize its health and social functioning correlates among US adults. Methods: With data from the National Health Interview Study (2024), we used survey-weighted Poisson regression to estimate relative risks (RR) and 95% confidence intervals (CI) for frequent loneliness by levels of self-reported general health, social/emotional support, social functioning, and healthcare utilization, adjusted for age, sex, race/ethnicity, number of people in household, marital status, and psychological distress. Results: 12 million US adults reported usually or always feeling lonely, which was associated with worse general health and social/emotional support, work and social participation limitations, and healthcare disengagement. Conclusions: Loneliness affects millions of US adults, with substantial health and social functioning burden.

Indexed as

DemographyEpidemiologyHealthcare UtilizationHealth StatusLonelinessSocial FunctioningSocial IsolationSocial Support

Identifiers

PMID42064939
PMCPMC13127538

What OpenQuestion holds

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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.