Evidence mapPaperPMID 41234613Full record

ArticleDigital health

Construal level theory in digital health: How consideration of future consequences bridges health beliefs and the intention to use fitness apps.

Ashraf Sadat Ahadzadeh, Jiang Shangfei, Yang Jiawen, Kam-Fong Lee, Fon Sim Ong

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. Not yet cited in PubMed.

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0citing 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

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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

5 authors.

Ashraf Sadat AhadzadehDepartment of Journalism, School of Communication, Xiamen University Malaysia, Sepang, Malaysia.ORCID https://orcid.org/0000-0002-3178-8684
Jiang ShangfeiHainan Medical University, College of Basic Medicine and Life Sciences of Hainan Medical University, Hainan, China.ORCID https://orcid.org/0009-0005-9833-4379
Yang JiawenHospital Pharmacy Division, Sheshan Town Second Community, Health Service Center, Shanghai, China.ORCID https://orcid.org/0009-0008-2517-8776
Kam-Fong LeeFaculty of Education, Languages, Psychology and Music, Segi University, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-5572-8627
Fon Sim OngCurtin University Malaysia, Miri, Malaysia.ORCID https://orcid.org/0000-0002-4420-4262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Although technology-related cognitive determinants have been documented as predictors of behavioural intentions to use fitness applications (apps), research has given less attention to health-related cognitive factors. Examining these factors offers a fuller understanding of drivers of fitness app use. The temporal nature of weight management highlights the need for a time-oriented mindset to reinforce these relationships. This study integrates Consideration of Future Consequences (CFC), grounded in Construal Level Theory (CLT), as a higher-order framework linking health cognitions-perceived susceptibility (PSU), perceived severity (PSE), implicit theories of weight management (ITWM), and health consciousness (HC)-to intention to use fitness apps. Methods: Using a cross-sectional design, data were collected from 302 Chinese fitness app users (43.7% male, 56.3% female) through a snowball sampling method. Hayes' PROCESS macro was employed to test the mediation hypotheses. Results: PSU ( Conclusion: Integrating PSU, PSE, ITWM, and HC with CFC, this study advances a framework explaining how cognitive factors and future-oriented thinking shape the psychological mechanisms underlying intention to use fitness apps. Practically, developers can tailor features to health beliefs and CFC, while health communicators may emphasise long-term benefits to promote fitness technology.

Indexed as

consideration for future consequencesconstrual level theoryhealth consciousnessimplicit theoriesintention to use fitness applicationsperceived severityPerceived susceptibility

Identifiers

PMID41234613
PMCPMC12605902

What Socratic holds

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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 Socratic graph.