Evidence map›Paper›PMID 40510189›Full record

ArticleDigital health

Impact of personality prototypes on app engagement and weight loss in a mobile app-based lifestyle modification support program for individuals with obesity and non-communicable diseases.

Yuta Hagiwara, Kotoe Shimizu, Takuji Adachi, Masashi Kanai, Takahiro Miki

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 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.

Yuta HagiwaraInsight Lab., PREVENT Inc., Nagoya, Japan.
Kotoe ShimizuInsight Lab., PREVENT Inc., Nagoya, Japan.
Takuji AdachiDepartment of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Masashi KanaiInsight Lab., PREVENT Inc., Nagoya, Japan.
Takahiro MikiInsight Lab., PREVENT Inc., Nagoya, Japan.ORCID https://orcid.org/0000-0002-0648-2675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Personality traits influence behavioral changes and may impact engagement and outcomes in obesity management programs. However, their role in mobile app-based interventions for obesity remains underexplored. Understanding the relationship between personality traits and health behaviors can inform the design of personalized programs, potentially enhancing adherence and long-term success. Mobile health technologies offer scalable solutions for lifestyle modification, making this investigation particularly relevant. Methods: This study analyzed 2716 participants with a body mass index of 25.0 or higher enrolled in a six-month mobile app-based lifestyle modification program. Personality traits were assessed using the five-factor model, and participants were categorized into resilient, overcontrolled, and undercontrolled prototypes through cluster analysis. App engagement metrics, such as session frequency, usage duration, and weight input rates, were recorded. Weight loss outcomes were measured as the percentage reduction in body weight, calculated by comparing the first and last 14 days of the program. Additional variables, including daily steps, blood pressure, and cholesterol levels, were evaluated to assess overall health changes. Results: The undercontrolled group exhibited the lowest engagement metrics, including fewer app sessions (2.63 times/day) and a lower weight input rate (63.06%). In contrast, the overcontrolled group achieved the highest weight loss, with a mean reduction of -3.08% compared to -2.55% in the undercontrolled group ( Conclusion: Personality prototypes significantly influence engagement and weight loss in a mobile app-based lifestyle modification support program. These findings highlight the importance of considering personality traits to enhance program design and effectiveness. Further research is required to validate these outcomes across diverse populations and examine the long-term sustainability of behavioral changes.

Indexed as

lifestyle modificationmobile appnon-communicable diseasesobesityPersonality prototypes

Identifiers

PMID40510189
PMCPMC12159476

What OpenQuestion holds

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LicenceCC BY-NC
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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.