Psychometric validation of the perceived digital well-being scale and digital well-being questionnaire among adolescents receiving psychiatric care

Abstract Research on adolescents’ digital media use has largely focused on risks and negative mental health outcomes, while comparatively little attention has been paid to digital well-being, defined as individuals’ subjective experience of the benefits and drawbacks of digital engagement. Empirical validation of digital well-being measures remains scarce, particularly among adolescents receiving psychiatric care and in non-Western contexts. This study aimed (a) to examine the construct validity, internal reliability, and gender invariance of the Perceived Digital Well-being Scale (PDWS) and the Digital Well-being Questionnaire (DWBQ) in a clinical adolescent sample, and (b) to assess their convergent validity, including associations with problematic social media use. A total of 481 Turkish adolescents (aged 14–18 years) receiving psychiatric care completed self-report measures of digital well-being (PDWS, DWBQ), problematic social media use (Bergen Social Media Addiction Scale), anxiety and depression (PHQ-4), and life satisfaction (KIDSCREEN-10). Confirmatory factor analyses were conducted to test factorial structure and gender invariance. Internal consistency was assessed using Cronbach’s alpha and McDonald’s omega and other indicators; convergent validity was examined via correlation analyses. Confirmatory factor analyses supported the proposed multidimensional structures of both the PDWS and the DWBQ, with good/excellent model fit indices. All dimensions demonstrated satisfactory internal reliability. Gender invariance analyses indicated stable factor structures across male and female participants. Mean digital well-being scores were above the scale mid-points, despite participants’ clinical status. PDWS and DWBQ dimensions were positively intercorrelated and most dimensions were significantly and negatively associated with problematic social media use, supporting convergent validity. The findings demonstrate that digital well-being can be reliably and validly assessed among adolescents receiving psychiatric care. Results challenge deficit-oriented assumptions about clinical adolescents’ digital lives and support a more nuanced understanding of digital engagement that integrates both risks and resources.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-10-16
DOI
https://doi.org/10.1038/s41598-026-70991-8
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychometric validation of the perceived digital well-being scale and digital well-being questionnaire among adolescents receiving psychiatric care

Germano Vera Cruz, Yasser Khazaal, Merve Aktaş Terzioğlu, Riaz Khan et al.
Scientific Reports
Impact of Technology on Adolescents
article

Psychometric validation of the perceived digital well-being scale and digital well-being questionnaire among adolescents receiving psychiatric care

Germano Vera Cruz, Yasser Khazaal, Merve Aktaş Terzioğlu, Riaz Khan, Clarice Da Rosa
article en

Abstract

Abstract Research on adolescents’ digital media use has largely focused on risks and negative mental health outcomes, while comparatively little attention has been paid to digital well-being, defined as individuals’ subjective experience of the benefits and drawbacks of digital engagement. Empirical validation of digital well-being measures remains scarce, particularly among adolescents receiving psychiatric care and in non-Western contexts. This study aimed (a) to examine the construct validity, internal reliability, and gender invariance of the Perceived Digital Well-being Scale (PDWS) and the Digital Well-being Questionnaire (DWBQ) in a clinical adolescent sample, and (b) to assess their convergent validity, including associations with problematic social media use. A total of 481 Turkish adolescents (aged 14–18 years) receiving psychiatric care completed self-report measures of digital well-being (PDWS, DWBQ), problematic social media use (Bergen Social Media Addiction Scale), anxiety and depression (PHQ-4), and life satisfaction (KIDSCREEN-10). Confirmatory factor analyses were conducted to test factorial structure and gender invariance. Internal consistency was assessed using Cronbach’s alpha and McDonald’s omega and other indicators; convergent validity was examined via correlation analyses. Confirmatory factor analyses supported the proposed multidimensional structures of both the PDWS and the DWBQ, with good/excellent model fit indices. All dimensions demonstrated satisfactory internal reliability. Gender invariance analyses indicated stable factor structures across male and female participants. Mean digital well-being scores were above the scale mid-points, despite participants’ clinical status. PDWS and DWBQ dimensions were positively intercorrelated and most dimensions were significantly and negatively associated with problematic social media use, supporting convergent validity. The findings demonstrate that digital well-being can be reliably and validly assessed among adolescents receiving psychiatric care. Results challenge deficit-oriented assumptions about clinical adolescents’ digital lives and support a more nuanced understanding of digital engagement that integrates both risks and resources.

Scientific ReportsVol. 16(1)
Centre for Addiction and Mental Health (CA), Douglas Mental Health University Institute (CA), Frontier Medical College (PK), Université de Picardie Jules Verne (FR), Pamukkale University (TR), Bahria University (PK), University of Lausanne (CH)
Université de Lausanne
Good health and well-being
Openalex Percentile: Top 5%
Impact of Technology on Adolescents
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.