Evidence map›Paper›PMID 41911544›Full record

ArticleJMIR aging2026

Attitudes Toward Digital Meal Assistance Services Among Older Adults in China: Cross-Sectional Survey.

Zhe Chen, Tinghe Deng, Xiaoli Zhu

Abstract read
In one paragraph

Article in JMIR aging, 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
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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

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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

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.

Zhe ChenDepartment of Economics and Management, Century College, Beijing University of Posts and Telecommunications, Beijing, China.ORCID http://orcid.org/0009-0004-4603-1432
Tinghe DengChinese Center for Health Education, Building 12, Anhua Xili First District, Chaoyang District, Beijing, 100011, China, 86 10 64266955.ORCID http://orcid.org/0009-0008-1227-5964
Xiaoli ZhuOverseas Chinese College, Capital University of Economics and Business, Beijing, China.ORCID http://orcid.org/0009-0006-2297-721X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital eldercare services are promoted to address gaps in traditional care provision, yet actual uptake among older adults remains limited. Prior research has largely focused on technological attributes, with less attention to older adults' context-specific behavioral attitudes toward digital services. Objective: This study aimed to identify the multidimensional structure of older adults' behavioral attitudes toward digital meal assistance services and to examine their associations with usage intention and actual use. Methods: A mixed-mode survey was conducted in 2020 among adults aged 60 years or older in a large metropolitan city in China. A total of 1019 valid questionnaires were collected (n=405 online and n=614 offline). Exploratory factor analysis was used to identify attitudinal dimensions, followed by binary logistic regression analyses conducted separately for online and offline samples, controlling for sociodemographic characteristics. Results: Five attitudinal dimensions were identified, explaining 60.38% of the variance. Regression analyses showed that associations between attitudinal dimensions and service use differed by usage stage and sample type. Digital trust was the most consistent predictor, significantly associated with intention to use in both samples-particularly online (odds ratio [OR] 1.351, 95% CI 1.054-1.732; P=.02)-and with actual use in the offline sample (OR 1.068, 95% CI 1.011-1.128; P=.02), with a marginal association online (OR 1.347, 95% CI 0.986-1.840; P=.06). Conclusions: Older adults' adoption of digital meal assistance services is shaped by multidimensional and context-dependent attitudes that extend beyond technological considerations. Policy efforts should therefore emphasize trust-building, affordability, and differentiated strategies tailored to diverse groups of older adults.

Indexed as

Food ServicesAgedAged, 80 and overChinaCross-Sectional StudiesDigital HealthDigital MediaFemaleHumansMaleMiddle AgedSurveys and Questionnairesactual usebehavioral attitudesChinadigital meal assistance servicesolder adultsusage intention

Identifiers

PMID41911544
PMCPMC13035262

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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.