Evidence map›Paper›PMID 41187329›Full record

ArticleJournal of participatory medicine2025

A Coach-Supported mHealth Lifestyle Intervention to Reduce Dementia Risk in Persons With Low Socioeconomic Status or a Migration Background: Qualitative Co-Design Study.

Anne Roos van der Endt, Josephine E Lindhout, Joshua van Apeldoorn, Richler Amponsah, Rayn Ramkishun, Edanur Sert, Casper Craamer, Edo Richard, Marieke P Hoevenaar-Blom, Eric P Moll van Charante

Abstract read
In one paragraph

Article in Journal of participatory medicine, 2025. 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

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

10 authors.

Anne Roos van der Endt *Department of Public and Occupational Health, Amsterdam University Medical Centers, Amsterdam, The Netherlands.ORCID https://orcid.org/0009-0009-1161-5338
Josephine E Lindhout *Department of Public and Occupational Health, Amsterdam University Medical Centers, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-6470-4344
Joshua van ApeldoornDepartment of Public and Occupational Health, Amsterdam University Medical Centers, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-0752-1779
Richler AmponsahDepartment of Public and Occupational Health, Amsterdam University Medical Centers, Amsterdam, The Netherlands.ORCID https://orcid.org/0009-0009-9797-0196
Rayn RamkishunDepartment of Public and Occupational Health, Amsterdam University Medical Centers, Amsterdam, The Netherlands.ORCID https://orcid.org/0009-0003-1168-855X
Edanur SertDepartment of General Practice, Amsterdam University Medical Centers, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-7921-3345
Casper CraamerIQ Health Science Department, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID https://orcid.org/0009-0007-0322-6733
Edo RichardDepartment of Public and Occupational Health, Amsterdam University Medical Centers, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-7250-3390
Marieke P Hoevenaar-Blom *Department of Public and Occupational Health, Amsterdam University Medical Centers, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-6760-5149
Eric P Moll van Charante *Department of Public and Occupational Health, Amsterdam University Medical Centers, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-1489-5218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence and incidence of dementia are higher in migrants and those with low socioeconomic status (SES). Mobile health (mHealth) interventions offer a potentially scalable way to reduce dementia risk via risk factor modification.

objectiveWe co-designed the MIND-PRO app-an mHealth intervention targeting dementia risk factors through self-managed lifestyle changes and remote coaching-specifically designed for Dutch individuals with low SES and those with Turkish or South Asian Surinamese migration backgrounds. We focused on these migrant populations as they are the largest in the Netherlands and have the highest risk of developing dementia.

methodsIn this qualitative study, we explored the needs and preferences of our target populations aged 50-75 years old at increased dementia risk by conducting semistructured interviews and focus groups. Participant feedback was used to iteratively refine and adapt a prototype intervention based on insights from prior mHealth trials.

resultsWe interviewed 23 participants (median age 59, IQR 55-63 y; n=15, 65% female) and conducted two focus groups with 7 Turkish women and 13 Dutch participants with low SES. The target populations emphasized personalization features such as goal setting, self-tracking, educational material, and remote coaching. Participants highlighted the importance of social interaction and autonomy in achieving sustainable lifestyle changes. Tailoring coaching and lifestyle advice to cultural practices was deemed beneficial.

conclusionsOptimal mHealth interventions targeting dementia risk factors in migrants and individuals with low SES should be personalized and interactive, respect autonomy, and integrate cultural needs and preferences.

Indexed as

dementialifestylelow-SESmHealth interventionmigration backgroundsocioeconomic statustailoring

Identifiers

PMID41187329
PMCPMC12627971

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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.