Evidence map›Paper›PMID 42194436›Full record

ArticleHealthcare (Basel, Switzerland)2026

Factors Associated with the Intention to Adopt Digital Health Technologies for Physical Activity Among People with Disabilities: An Integrated Technology Acceptance Model-Theory of Planned Behavior Framework.

Jinwoo Park, Hyunsu Lee, Yongchul Kwon, Gunsang Cho, Junghee Yun

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2026. 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

5 authors.

Jinwoo ParkDepartment of Physical Education, Pusan National University, Busan 46241, Republic of Korea.
Hyunsu LeeDepartment of Physical Education, Pusan National University, Busan 46241, Republic of Korea.
Yongchul KwonDepartment of Physical Education, Pusan National University, Busan 46241, Republic of Korea.ORCID 0009-0002-8525-2735
Gunsang ChoDepartment of Physical Education, Pusan National University, Busan 46241, Republic of Korea.
Junghee YunDepartment of Physical Education, Pusan National University, Busan 46241, Republic of Korea.

Funding

National Research Foundation of Korea NRF-2024S1A5A2A03038753
6 · The paper itself

Abstract

BACKGROUND/

objectivesDigital health technologies may support physical activity participation among people with disabilities, yet their adoption remains limited because of accessibility, usability, and implementation barriers. This study examined factors associated with the intention to adopt digital health technologies for physical activity among people with disabilities using an integrated Technology Acceptance Model-Theory of Planned Behavior framework.

methodsData were collected from 362 individuals with physical, visual, or hearing impairments who participated in community-based sports programs in South Korea. Structural equation modeling (SEM) was used to test the integrated model, and indirect effects were examined using bias-corrected bootstrapping.

resultsThe final model showed acceptable fit. Perceived ease of use was positively associated with perceived usefulness, and both perceived ease of use and perceived usefulness were positively associated with attitude and perceived behavioral control. Attitude and subjective norm were positively associated with intention to adopt digital health technologies, whereas perceived behavioral control showed a significant inverse association. Perceived usefulness and perceived ease of use were indirectly associated with intention primarily through attitude.

conclusionsThe integrated framework provided a useful, although incomplete, explanation of digital health technology adoption intention among people with disabilities and suggests that perceived control may operate differently in disability-related digital health contexts. Adoption strategies should emphasize perceived benefits, positive user evaluations, accessible design, social support, and implementation conditions that reduce structural barriers to physical activity and health management.

Indexed as

behavioral intentiondigital health technologydisabled peoplephysical activitystructural equation modelingtechnology acceptance modeltheory of planned behavior

Identifiers

PMID42194436
PMCPMC13206016

What OpenQuestion holds

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LicenceCC BY
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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.