Evidence map›Paper›PMID 42696806›Full record

ArticleJournal of the American Medical Directors Association2026

Understanding Differences in Resident Loneliness/Isolation Across US Nursing Homes: A Multilevel Analysis of MDS 3.0 Data.

Natalia N Nielsen, Jonggyu Baek, Maira A Castañeda-Avila, Kate L Lapane

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 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

4 authors.

Natalia N NielsenDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Jonggyu BaekDivision of Biostatistics and Health Services Research, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Maira A Castañeda-AvilaDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Kate L LapaneDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA. Electronic address: Kate.lapane@umassmed.edu.

Funding

VARIATIONS IN LIFE'S FINAL CHAPTERP01AG027296 · NIA · BROWN UNIVERSITY · PI AMAL N. TRIVEDI · 2007 to 2026
$38.9M
Social Connectedness and Social Isolation in Nursing Home ResidentsR01AG071692 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Kate L Lapane · 2021 to 2026
$4.1M
University of Massachusetts Center for Clinical and Translational ScienceTL1TR001454 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEWIS, BRIAN C · 2015 to 2024
$3.6M
NCATS NIH HHS TL1 TR001454NIA NIH HHS P01 AG027296NIA NIH HHS R01 AG071692
6 · The paper itself

Abstract

objectivesLoneliness/isolation is known to result in negative health outcomes among older adults in US nursing homes. Understanding the variation in loneliness/isolation among long-stay nursing residents and the individual and facility-level characteristics associated with loneliness/isolation can help guide care planning and ultimately lead to the development of effective interventions.

designCross-sectional. SETTING AND

participantsLong-stay residents aged ≥50 years (n = 732,808) living in US nursing homes (n = 13,491) between October 1, 2023 and December 31, 2023.

methodsData from the Minimum Data Set 3.0 provided resident-level characteristics. Residents able to self-report were asked: "How often do you feel lonely or isolated from those around you?" Responses were dichotomized as sometimes, often, always vs never or rarely. Facility-level variables came from the long-term care focus and Nursing Home Compare datasets. Multilevel logistic regression estimated proportional change in cluster variance and variance partitioning coefficients (VPCs) to assess contributions of resident-, facility-, and county-level factors, and the fully adjusted model identified characteristics associated with loneliness/isolation.

resultsThe overall prevalence of loneliness/isolation was 20.7%, with most variation driven by differences between facilities rather than counties (VPC CONCLUSIONS AND IMPLICATIONS: Interventions to reduce loneliness/isolation should focus on helping facilities address contextual factors. Staffing levels may be associated with loneliness/isolation and warrant further investigation. Future research should focus on the development, implementation, and evaluation of evidence-based practices to reduce resident loneliness/isolation.

Indexed as

LonelinessNursing Home ResidentsNursing HomesSocial IsolationAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMultilevel AnalysisUnited StatesisolationLonelinesslong-term caremultilevel modelingnursing homes

Identifiers

PMID42696806
PMCPMC13552234

What Socratic holds

Textmetadata
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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 Socratic graph.