Evidence map›Paper›PMID 41960258›Full record

ArticleFrontiers in psychology2026

Step by step: promoting daily walking through a mHealth intervention.

Roberta Adorni, Maria Elide Vanutelli, Gabriele Damaschi, Marco D'Addario, Patrizia Steca

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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
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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

0 citing papers in PubMed.

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.

Roberta AdorniDepartment of Psychology, University of Milan-Bicocca, Milan, Italy.
Maria Elide VanutelliDepartment of Psychology, University of Milan-Bicocca, Milan, Italy.
Gabriele DamaschiDepartment of Psychology, University of Milan-Bicocca, Milan, Italy.
Marco D'AddarioDepartment of Psychology, University of Milan-Bicocca, Milan, Italy.
Patrizia StecaDepartment of Psychology, University of Milan-Bicocca, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile health (mHealth) interventions are increasingly used to promote individual well-being. Mobile applications provide accessible, personalized tools for monitoring and improving health, thereby fostering the adoption of positive behaviors. Nonetheless, further evidence is needed to support the effectiveness of mHealth programs. The present study aims to evaluate the effectiveness of a protocol designed to increase daily step counts, grounded in the Health Action Process Approach (HAPA). Methods: The protocol was delivered via the MyPocketHealth app, developed by the research team, and incorporated different communication strategies. Participants were involved in setting a goal and choosing between a personalized or a standardized goal (7,000 daily steps), which could be reviewed at any time. Moreover, they received either interactive (HAPA-I: group 1) or non-interactive (HAPA-NI: group 2) daily notifications promoting the target behavior through HAPA constructs for 15 days, while also monitoring their daily steps (self-monitoring). A third group engaged solely in self-monitoring without receiving any communication (no-communication group; No comm). Goal attainment was reinforced through badge awards (rewards). A sample of 210 healthy, physically inactive participants aged 22 to 55 underwent the intervention. Results: Significantly higher dropout rates were recorded in the HAPA-NI group compared to the other experimental conditions. However, participants in the HAPA-NI and HAPA-I groups showed gradual increases in daily step counts relative to baseline throughout the intervention period. Conversely, participants in the No-communication group showed a marked increase in daily step counts relative to baseline during the initial phase of the intervention, which progressively declined over time. Conclusion: These findings suggest that theory-driven notifications effectively promote sustained engagement in achieving behavioral goals, and that it is crucial to optimize the balance between notification frequency and interactivity when designing mHealth interventions to improve user engagement and ensure long-term effectiveness.

Indexed as

BCTsbehavioral goal settingHAPAmHealthrewardsself-monitoringwalking behavior

Identifiers

PMID41960258
PMCPMC13057407

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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.