Evidence map›Paper›PMID 40093708›Full record

ArticleDigital health

Intrinsic motivations in health and fitness app engagement: A mediation model of entertainment.

Thuy Dung Pham Thi, Nam Tien Duong

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

2 authors.

Thuy Dung Pham ThiDepartment of Science, Technology, and International Projects, Ho Chi Minh City University of Economics and Finance (UEF), Ho Chi Minh City, Vietnam.
Nam Tien DuongDepartment of Science, Technology, and International Projects, Ho Chi Minh City University of Economics and Finance (UEF), Ho Chi Minh City, Vietnam.ORCID https://orcid.org/0000-0001-6757-797X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the intrinsic motivations driving continued usage of health and fitness apps, addressing a gap in the literature where user motivation has received limited attention. The study focuses on the role of entertainment as a mediator between intrinsic motivations and continuance intention, using the Uses and Gratifications Theory as a conceptual framework. Methods: Data were collected through an online survey of 2869 health and fitness app users in Vietnam. Intrinsic motivations were categorized into challenge, curiosity, fantasy, and social interaction. Hypotheses were tested using SEM, and subgroup analyses were conducted to examine variations across demographic groups. Results: The findings reveal that entertainment mediates the relationship between intrinsic motivations and continuance intention, with challenge and curiosity being the strongest predictors of sustained app usage. Challenge also demonstrated a direct effect on continuance intention, independent of entertainment. Demographic analysis indicated that males are primarily motivated by challenge and curiosity, while females and higher-income users are driven more by curiosity. Conclusion: This study highlights the importance of intrinsic motivations in shaping user engagement with health and fitness apps. Practical implications include the need for app developers to design features that align with user motivations, such as gamified challenges, personalized content, and interactive elements. Future research should explore extrinsic motivations and validate the framework across other digital platforms to expand its applicability.

Indexed as

appscontinuance intentionentertainmentHealth and fitnessintrinsic

Identifiers

PMID40093708
PMCPMC11907615

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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.