Evidence map›Paper›PMID 42154416›Full record

ArticleIrish journal of medical science2026

Development of the Digital Dementia Scale Adult Form (DDAF) and examination of its psychometric characteristics.

Yalcin Kanbay, Aydan Akkurt Yalcinturk, Elcin Babaoglu Gulseven, Aysun Akcam

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Article in Irish journal of medical science, 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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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

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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

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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

4 authors.

Yalcin KanbayArtvin Coruh University, Health Sciences Faculty, Department of Psychiatric Nursing, Artvin, Turkey.
Aydan Akkurt YalcinturkUniversity of Health Sciences, Hamidiye Faculty of Nursing, Department of Psychiatric Nursing, Istanbul, Turkey. aydan.akkurtyalcinturk@sbu.edu.tr.ORCID http://orcid.org/0000-0002-5386-0624
Elcin Babaoglu GulsevenUskudar University, Faculty of Health Sciences, Department of Nursing, Istanbul, Turkey.
Aysun AkcamNecmettin Erbakan University, Faculty of Education, Department of Turkish Language Teaching, Konya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimDeveloping a measurement tool to determine digital dementia is an important step toward understanding the prevalence and effects of digital dementia. The present study aimed to develop the "Digital Dementia Scale Adult Form" to determine digital dementia in individuals aged 18 and over by examining the concept of digital dementia.

methodsThe form which consisted of 22 statements with proven validity in terms of language and psychometrics was applied to 615 individuals. Exploratory and confirmatory factor analysis was used to determine the construct validity, and a 27% lower-upper group comparison was made to determine the internal validity

resultsThe "Digital Dementia Scale Adult Form" consisted of 3 subdimensions and 15 items and could explain 65.7% of the total variance as a 5-point Likert-type scale (Never: "0", Rarely: "1", Sometimes: "2", Frequently: "3", and Always: "4"). The total score on the scale varies between 0-60, and as the score increases, the level of digital dementia also increases. The Cronbach α Reliability Coefficient of the scale was calculated as .92, indicating high reliability.

conclusionThe "Digital Dementia Scale Adult Form" is valid in terms of scope and content and has high reliability.

Indexed as

Digital dementiaExcessive screen timeReliabilityValidity

Identifiers

PMID42154416

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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.