Identifying Factors Associated With Loneliness in Older United States Veterans: An Ecological Systems Approach

Findings highlight the importance of addressing individual and community-level social factors to reduce loneliness in older Veterans, supporting whole health approaches within gerontological care settings.

Authors

Institutions

Publication Details

Journal
Research in Gerontological Nursing
Published
2026-01-30
DOI
https://doi.org/10.3928/19404921-20260126-02
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying Factors Associated With Loneliness in Older United States Veterans: An Ecological Systems Approach

AMY MCQUEEN, Mary Naylor, JoAnn Jabbari, Teri Boyd et al.
Research in Gerontological Nursing
Health disparities and outcomes
article

Identifying Factors Associated With Loneliness in Older United States Veterans: An Ecological Systems Approach

AMY MCQUEEN, Mary Naylor, JoAnn Jabbari, Teri Boyd, Rachael Beard, Judy Smith, Karla T. Washington, Karen B. Hirschman
article en

Abstract

Findings highlight the importance of addressing individual and community-level social factors to reduce loneliness in older Veterans, supporting whole health approaches within gerontological care settings.

Research in Gerontological NursingVol. 19(2)
Washington University in St. Louis (US), Barnes-Jewish College (US), VA St. Louis Health Care System (US), University of Pennsylvania (US)
Openalex Percentile: Top 78%
Health disparities and outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.