Evidence map›Paper›PMID 38050461›Full record

ArticleGeriatrics & gerontology international2024

Health literacy, worry about unmet needs for medical care, and psychological well-being among older Chinese adults.

Jia Li, Qi Wang, Xiaochen Zhou

Abstract read
In one paragraph

Article in Geriatrics & gerontology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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.

Jia LiDepartment of Social Work, Faculty of Social Science, The Chinese University of Hong Kong, Hong Kong, HKSAR, China.
Qi WangSchool of Graduate Studies and Institute of Policy Studies, Lingnan University, Hong Kong, HKSAR, China.ORCID https://orcid.org/0000-0001-8688-6647
Xiaochen ZhouDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, HKSAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to examine the relationship between older adults' health literacy and their psychological well-being and the role of worry about future unmet needs for medical care in mediating this relationship.

methodsWe adopted a sample of 965 older Chinese people aged 60+ (49.74% female) from the 2021 Chinese General Social Survey. A series of structural equation models (SEMs) were performed. Health literacy was measured by three items regarding older people's ability to understand medical professionals, ask them questions, and read medical instructions. A single-item question was adopted to measure participants' worry about unmet needs for future medical care. Psychological well-being was measured by three items regarding emotional problems and depressed or anxious mood in the past 4 weeks.

resultsWorry about future unmet needs for medical care mediates the relationship between lack of health literacy and Chinese older people's psychological well-being. The indirect effect accounts for 22.3% of the total effect. The SEM model has a satisfactory model fit (goodness of fit index = 1.000, comparative fit index = 0.999, Tucker-Lewis index = 0.997, root mean square error of approximation = 0.009, standardized root mean square residual = 0.023, chi-square test = 50.96,  P = 0.321).

conclusionsThe findings of this study underscore the importance of improving communication quality between healthcare providers and older adults. Clinical interventions that promote health literacy and address worries about unmet needs for medical services may benefit older adults. Geriatr Gerontol Int 2024; 24: 202-207.

Indexed as

East Asian PeopleHealth LiteracyAgedChinaFemaleHealth PromotionHumansMaleMiddle AgedPsychological Well-BeingSurveys and Questionnaireshealth literacyhealth servicesolder adultspsychological well‐beingworry

Identifiers

PMID38050461
PMCPMC11503555

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LicenceCC BY-NC-ND
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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.