Data · dataset · 2025
Intention to use and perceived satisfaction with a digital tool for dementia prevention in the Dutch general population: a cross-sectional study
Listed in IISH Dataverse
The aim of this study was to explore the intention to use and perceived satisfaction with digital tools for dementia prevention among people in the Dutch general public.
Description
Data was gathered via a questionnaire among cognitively unimpaired people and people with subjective cognitive decline. Recruitment took place in two waves with the rationale to enrich the study sample’s diversity in the second recruitment wave.
Data from wave I and wave II were merged into one data set prior to analyses. The questionnaire covered gender, age, employment situation, educational attainment, perceived financial scarcity, health literacy, dementia risk, motivation for dementia-prevention-related behaviour change, digital proficiency, digital acceptability, acceptance and use of technology. A use case was included to assess the outcome measures intention to use and perceived satisfaction applied to a Dutch existing dementia prevention app for citizens (MijnBreincoach).
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Analyses included exploratory descriptives, correlations, backward stepwise regression using Generalized Linear Models with 5-fold cross-validation. The total study sample consists of n=673 participants.
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FZ74Q0Y ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/z74q0y ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FZ74Q… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Digital health · Life Sciences · Medicine & Health · Psychology & Behavioral Science · Public health
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/Z74Q0Y | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:420302 | mapping · datasets iisg amsterdam | vocabulary-mapper@1.0.0 | keywords['digital health'] |
| concepts[field].anzsrc:group:4206 | mapping · datasets iisg amsterdam | vocabulary-mapper@1.0.0 | keywords['public health'] |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:psychology-behavioral | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |