Evidence map›Paper›PMID 39886096›Full record

ArticleDigital health

Can intelligent virtual assistants improve cognitive function in older adults? A two-wave mediation study.

Tianxin Cai, Shilong Ma, Renyao Zhong

Abstract read
In one paragraph

Article in Digital health. 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. Review
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.

Tianxin CaiSchool of Public Management, East China Normal University, Shanghai, China.ORCID https://orcid.org/0009-0009-9347-4945
Shilong MaSchool of Public Administration and Emergency Management, Jinan University, Guangzhou, China.
Renyao ZhongSchool of Public Management, East China Normal University, Shanghai, China.ORCID https://orcid.org/0009-0003-6200-1017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to investigate whether social networks and physical exercise mediate the relationship between new and constant use of intelligent virtual assistants (IVAs) and cognitive function in older adults in China and explore the potential differences across living arrangements and education levels. Methods: This study utilized nationally representative longitudinal data from 2018 to 2020, including a sample of 8343 older adults aged 60-80. A path-analytic model was employed to examine the relationship between IVAs use and cognitive function, as well as the mediating roles of social networks and physical exercise. Results: Constant and new IVAs use significantly affected cognitive function, mediated by social networks and physical exercise. For older adults living alone, both types of IVAs use had positive direct and indirect effects. Those living with children benefited mainly from new IVAs use, with indirect effects through physical exercise. Among less educated older adults, only new IVAs use showed significant effects through social networks. For those with higher education, both constant and new IVAs use positively impacted cognitive function directly and indirectly. Conclusions: The use of IVAs can significantly improve cognitive function in older adults, with social networks and physical exercise being important mediating pathways. Policy suggestions were provided based on these results.

Indexed as

cognitive functionConstant IVAs usenew IVAs usephysical exercisesocial networks

Identifiers

PMID39886096
PMCPMC11780641

What OpenQuestion holds

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LicenceCC BY-NC
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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.