Evidence map›Paper›PMID 40440288›Full record

ArticlePloS one2025

The mediating role of technology anxiety in the impact of loneliness on technology behavioral intention among community-dwelling older adults.

Chih-Yu Tsai, Ya-Ling Tzeng, Yu-Kuei Teng, Ting-Shan Chang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

4 authors.

Chih-Yu TsaiSchool of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.ORCID https://orcid.org/0000-0001-6242-5344
Ya-Ling TzengSchool of Nursing, College of Health Care, China Medical University, Taichung, Taiwan.ORCID https://orcid.org/0000-0002-7053-3668
Yu-Kuei TengSchool of Nursing, College of Health Care, China Medical University, Taichung, Taiwan.ORCID https://orcid.org/0000-0003-4041-6783
Ting-Shan ChangSchool of Nursing, College of Health Care, China Medical University, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this modern digital era, older adults encounter considerable challenges in technology adoption, primarily due to varying degrees of technology anxiety and its implications on their behavioral intentions. We conducted a cross-sectional survey with 250 participants aged 60 and older in Taiwan to investigate the mediating role of technology anxiety in the dynamic between loneliness and technology usage intentions. The results reveal that participants exhibited mild levels of loneliness (mean score: 1.53), moderate technology anxiety (mean score: 19.29), and moderate to high intentions toward technology use (mean score: 10.96). The study identifies a significant total effect of loneliness on technology behavioral intention (c = -0.508, p < 0.001). Specifically, loneliness was found to significantly influence technology anxiety (a = 1.158, p < 0.001), which in turn significantly impacted behavioral intention, even after adjusting for loneliness (b = -0.161, p < 0.001). Technology anxiety partially mediated the relationship between loneliness and behavioral intention, exacerbating its negative impact (c' = -0.322, p < 0.001). These findings highlight the critical need for targeted interventions and policy measures to address and mitigate the barriers to technology adoption faced by older adults.

Indexed as

AnxietyIndependent LivingIntentionLonelinessTechnologyAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTaiwan

Identifiers

PMID40440288
PMCPMC12121774

What OpenQuestion holds

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LicenceCC BY
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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.