Evidence map›Paper›PMID 42209259›Full record

ArticleJournal of Korean gerontological nursing2026

Development and validation of a resilience scale for community-dwelling older adults: A methodological study.

Eunna Oh, Rhayun Song, Jisu Seo

Abstract read
In one paragraph

Article in Journal of Korean gerontological nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

Eunna OhPostdoctoral Researcher, College of Nursing, Chungnam National University, Daejeon, Korea.
Rhayun SongProfessor, College of Nursing, Chungnam National University, Daejeon, Korea.
Jisu SeoPostdoctoral Researcher, College of Nursing, Chungnam National University, Daejeon, Korea. jisu45@cnu.ac.kr.

Funding

National Research Foundation of Korea 2022R1A2C2011502
6 · The paper itself

Abstract

purposeResilience allows older adults to view adversity as an opportunity for growth, making it a key resource for successful aging. This study aimed to develop and validate a multidimensional resilience scale reflecting the characteristics and experiences of community-dwelling older adults.

methodsPreliminary items were generated through a literature review and interviews with eight older adults. Content validity was evaluated by an expert panel, and 510 community-dwelling older adults were recruited using stratified age-group sampling. Construct validity was examined through exploratory and confirmatory factor analyses, while convergent and discriminant validity were also assessed. Concurrent validity was tested against the short form-12 health survey (SF-12) instrument, and Cronbach's alpha was calculated to determine internal consistency.

resultsTwo items with item-level content validation index values below .80 were removed. Exploratory factor analysis of the resulting eight-item scale identified two factors ("positive growth and overcoming" and "daily adaptation and self-regulation"), explaining 54.92% of the variance. Confirmatory factor analysis indicated good model fit. Convergent validity and concurrent validity with the SF-12 were supported, while discriminant validity was not.

conclusionThe eight-item, two-factor resilience scale demonstrated acceptable validity and reliability, offering a brief and practical tool for rapid assessment of resilience in community-dwelling older adults. Further research across diverse populations is recommended to enhance its utility in evaluating health promotion programs and strategies for successful aging.

Indexed as

AgedHealthy agingResilience, psychological, Validation studies as topic

Identifiers

PMID42209259
PMCPMC13226803

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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.