Evidence map›Paper›PMID 41473135›Full record

ArticleFrontiers in digital health2025

Terrapino: a mobile application for Alzheimer's risk assessment and cognitive health promotion.

Ross Andel, Katerina Sheardova, Jan Pavlik, Martin Vališ, Jana Amlerova, Jakub Hort

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. 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

6 authors.

Ross AndelEdson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, United States.
Katerina SheardovaInternational Clinical Research Center, St. Anne's University Hospital, Brno, Czechia.
Jan PavlikAlzheimerchain Foundation, Prague, Czechia.
Martin VališAlzheimerchain Foundation, Prague, Czechia.
Jana AmlerovaDepartment of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.
Jakub HortDepartment of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Mobile health technologies offer scalable opportunities to promote public health, including cognitive health, via education, engagement, and personalized health approach. This study describes the features of the Terrapino mobile application and its users to date, and provide initial evaluation of the ARA score. Methods: Between December 2022 and December 2024, 8,395 users completed the Alzheimer's Risk Assessment survey, a comprehensive questionnaire developed to collect comprehensive, evidence-based information about Alzheimer's disease risk and protective factors including sociodemographics, health and health history information, lifestyle habits, subjective memory complaints and perceived stress. Most (95%) used the original, Czech version, but English and Spanish versions are also available. Results: Users were 18-103 years old (mean 57.1 ± 14.5 years), with 46.4% aged 60 years or older. Most (72%) were women and nearly half held a college degree. Despite relatively high education, lifestyle and health characteristics resembled general population trends, suggesting broad accessibility and reach. In a random forest machine learning models, hypertension, going for walks, playing sports and exercising, education, depression, memory complaints, meditation, vegetable intake and the use of olive oil emerged as most influential variables predicting the overall Alzheimer's Risk Assessment score, whether estimated for the entire sample or for those aged 60 + years. The models explained upwards of 80% of variance in the risk score. Conclusions: This initial examination suggests good feasibility to engage large numbers of individuals in cognitive health promotion through a mobile platform. The early data also suggests good validity of the Alzheimer's Risk Assessment score collected within the application. The initial findings support future efforts to test the application's capacity to contribute to efforts to cognitive health promotion which can be tested through longitudinal research in the upcoming years.

Indexed as

Alzheimer's diseasecognitive healthdementia preventiondigital healthhuman-centered designmobile applicationmobile healthuser engagement

Identifiers

PMID41473135
PMCPMC12746294

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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.