Evidence map›Paper›PMID 39854099›Full record

ReviewJMIR serious games2025

Effectiveness of Mobile Health-Based Gamification Interventions for Improving Physical Activity in Individuals With Cardiovascular Diseases: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Tianzhuo Yu, Monica Parry, Tianyue Yu, Linqi Xu, Yuejin Wu, Ting Zeng, Xin Leng, Qian Tong, Feng Li

Abstract readReview
In one paragraph

Review in JMIR serious games, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

9 authors.

Tianzhuo YuSchool of Nursing, Jilin University, Changchun, China.ORCID https://orcid.org/0000-0002-3161-6153
Monica ParryLawrence Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-6941-1380
Tianyue YuSchool of Nursing, Jilin University, Changchun, China.ORCID https://orcid.org/0000-0003-4358-3042
Linqi XuFaculty of Medicine and Life Sciences, University of Hasselt, Diepenbeek, Belgium.ORCID https://orcid.org/0000-0002-4346-0547
Yuejin WuSchool of Nursing, Jilin University, Changchun, China.ORCID https://orcid.org/0000-0001-5291-1605
Ting ZengSchool of Nursing, Jilin University, Changchun, China.ORCID https://orcid.org/0000-0002-9509-6783
Xin LengSchool of Nursing, Jilin University, Changchun, China.ORCID https://orcid.org/0000-0002-8936-0656
Qian TongDepartment of Cardiovascular Medicine, Bethune First Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0000-0003-0744-8273
Feng LiSchool of Nursing, Jilin University, Changchun, China.ORCID https://orcid.org/0000-0001-7423-8730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGamification refers to using game design elements in nongame contexts. Promoting physical activity (PA) through gamification is a novel and promising avenue for improving lifestyles and mitigating the advancement of cardiovascular diseases (CVDs). However, evidence of its effectiveness remains mixed.

objectiveThis systematic review and meta-analysis aimed to evaluate the efficacy of gamification interventions in promoting PA during short-term and follow-up periods in individuals with CVDs and to explore the most effective game design elements.

methodsA comprehensive search of 7 electronic databases was conducted for randomized controlled trials published in English from January 1, 2010, to February 3, 2024. Eligible studies used mobile health-based gamification interventions to promote PA or reduce sedentary behavior in individuals with CVDs. In total, 2 independent reviewers screened the retrieved records, extracted data, and evaluated the risk of bias using the RoB 2 tool. Discrepancies were resolved by a third reviewer. Meta-analyses were performed using a random-effects model with the Sidik-Jonkman method adjusted by the Knapp-Hartung method. Sensitivity analysis and influence analysis examined the robustness of results, while prediction intervals indicated heterogeneity. A meta-regression using a multimodel inference approach explored the most important game design elements. Statistical analyses were conducted using R (version 4.3.2; R Foundation for Statistical Computing).

resultsIn total, 6 randomized controlled trials were included. Meta-analysis of 5 studies revealed a small effect of gamification interventions on short-term PA (after sensitivity analysis: Hedges g=0.32, 95% CI 0.19-0.45, 95% prediction interval [PI] 0.02-0.62). Meta-analysis of 3 studies found the maintenance effect (measured with follow-up averaging 2.5 months after the end of the intervention) was small (Hedges g=0.20, 95% CI 0.12-0.29, 95% PI -0.01 to 0.41). A meta-analysis of 3 studies found participants taking 696.96 more steps per day than the control group (95% CI 327.80 to 1066.12, 95% PI -121.39 to 1515.31). "Feedback" was the most important game design element, followed by "Avatar."

conclusionsThis meta-analysis demonstrates that gamification interventions effectively promote PA in individuals with CVD, with effects persisting beyond the intervention period, indicating they are not merely novel effects caused by the game nature of gamification. The 95% PI suggests that implementing gamification interventions in similar populations in the future will lead to actual effects in promoting PA in the vast majority of cases. However, the limited number of included studies underscores the urgent need for more high-quality research in this emerging field.

trial registrationPROSPERO CRD42024518795; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=518795.

Indexed as

cardiovascular diseasesdigital healthexercisegamificationmeta-analysismobile healthphysical activitysystematic review

Identifiers

PMID39854099
PMCPMC11806271

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.