Evidence map›Paper›PMID 41908986›Full record

ArticleEuropean heart journal. Digital health2026

Personalized cardiovascular risk management for outdoor activities: a digital health application.

Marco Vecchiato, Nicola Borasio, Sandro Savino

Abstract read
In one paragraph

Article in European heart journal. Digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

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

3 authors.

Marco VecchiatoSports and Exercise Medicine Division, Department of Medicine, University of Padova, Via Giustiniani 2, Padova 35128, Italy.ORCID https://orcid.org/0000-0003-2395-4977
Nicola BorasioSports and Exercise Medicine Division, Department of Medicine, University of Padova, Via Giustiniani 2, Padova 35128, Italy.ORCID https://orcid.org/0009-0003-3160-2418
Sandro SavinoDepartment of Medicine, University of Padova, Via Giustiniani 2, Padova 35128, Italy.ORCID https://orcid.org/0000-0003-0184-7580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hiking is a widely practiced outdoor activity with well-known cardiovascular and mental health benefits. However, its popularity among individuals with chronic conditions and across varying fitness levels raises safety concerns, especially in mountainous environments. Current trail planning tools typically rely on generic metrics, without considering individual cardiovascular risk or functional capacity. To address this gap, a novel digital system named MOVE was developed. Based on a patented algorithm, MOVE integrates user-specific characteristics, such as age, sex, body mass index, physical activity level, cardiovascular risk factors, and chronic conditions, with trail features, such as slope, elevation, and altitude. The system provides estimated cardiorespiratory fitness (eCRF), classifies cardiovascular risk according to ESC guidelines, and generates personalized predictions of hiking time, energy expenditure, heart rate ranges, and relative effort. Following its public release in late 2024, the app was widely adopted in spring-summer 2025, with over 3000 hikes recorded. Users included individuals with a wide range of eCRF and cardiovascular risk profiles, highlighting MOVE's potential for real-world applicability. The app was particularly used in collaboration with Alpine tourist regions, supported by trail signage and QR codes. Nearly one-third of hikes were classified as high-effort, mainly in individuals with lower eCRF or greater trail demands. MOVE represents a promising step towards personalized outdoor physical activity. Future developments include real-time tracking, adaptive feedback, wearable integration, and AI-driven modelling. This approach may enhance safety and accessibility of hiking, particularly for at-risk populations, supporting public health through safe engagement with nature-based exercise.

Indexed as

Hiking safetyTourismWearable devices

Identifiers

PMID41908986
PMCPMC13026413

What OpenQuestion holds

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LicenceCC BY
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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.