Evidence map›Paper›PMID 42454383›Full record

ArticlePublic health nursing (Boston, Mass.)

Common-Sense Model Applied to Self-Perception of Aging Among Chinese Community-Dwelling Older Adults: A Qualitative Study.

Xinyi Liu, Dan Wang, Wanhong Xiong, Xiaochong He, Chunyan Gu, Yu Luo

Abstract read
In one paragraph

Article in Public health nursing (Boston, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Xinyi LiuSchool of Nursing, Third Military University/Army Medical University, Chongqing, China.ORCID https://orcid.org/0000-0003-2990-1905
Dan WangSchool of Nursing, Third Military University/Army Medical University, Chongqing, China.
Wanhong XiongSchool of Nursing, Third Military University/Army Medical University, Chongqing, China.
Xiaochong HeSchool of Nursing, Third Military University/Army Medical University, Chongqing, China.
Chunyan GuShuangBei Community Health Service Center, Chongqing, China.
Yu LuoSchool of Nursing, Third Military University/Army Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-3566-3766

Funding

Natural Science Foundation of Chongqing Municipality
6 · The paper itself

Abstract

objectiveSelf-perception of aging (SPA) involves individuals' subjective experiences and beliefs concerning their health and aging process. This study aims to explore the experiences of SPA and coping strategies among Chinese community-dwelling older adults based on the common-sense model (CSM).

methodsThe semi-structured interviews were conducted with 15 community-dwelling older adults in Chongqing. A hybrid inductive-deductive thematic analysis approach was employed for data analysis.

resultsFive main themes were identified: (a) health decline and identity in aging, (b) navigating the aging timeline with personal paces, (c) negative impacts with silver linings in later life, (d) individualized emotional spectrum of aging, and (e) multiple coping strategies. These themes align with the domains of the CSM.

conclusionIn this study, the researchers gained valuable insights into the SPA among Chinese community-dwelling older adults and demonstrated the applicability of the CSM in understanding SPA. Findings also provide a theoretical basis for future research on SPA and developing culturally sensitive interventions for older adults.

Indexed as

Adaptation, PsychologicalAgingIndependent LivingSelf ConceptAgedAged, 80 and overAging in PlaceChinaCoping SkillsEast Asian PeopleFemaleHumansInterviews as TopicMaleMiddle AgedQualitative Researchcommon‐sense modelcoping strategiesolder adultsqualitative researchself‐perception of aging

Identifiers

PMID42454383
PMCPMC13535913

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.