ArticleDiscover mental health2026
Development and psychometric validation of the Kanazawa University loneliness scale for children and adolescents.
Article in Discover mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Longitudinal Interrelations Among Loneliness, Depressive Symptoms, and Social Behaviors in Youth: A Cross-Lagged Panel Study in a Post-Disaster Context.Child psychiatry and human development · 2026Article
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9 authors.
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Abstract
Loneliness is a key risk factor for youth mental health; however, existing scales often fail to capture its multidimensional and relational nature. This study developed the [blinded] University Loneliness Scale (KULoS) for students in Grades 1-9 and evaluated its psychometric properties using cross-sectional and longitudinal survey data collected in Ishikawa, Japan (Time 1: n = 856; Time 2: n = 709). Exploratory factor analyses conducted separately for grades 1-4 and grades 5-9 supported a two-factor structure primarily reflecting item wording (direct vs. indirect items). The four-item direct subscale (KULoS-D) demonstrated good internal consistency (ω = 0.801-0.862), whereas the indirect subscale (KULoS-I) showed lower reliability (ω = 0.662-0.666). Confirmatory factor analyses at both time points indicated a good fit for the two-factor model. KULoS-D showed strong associations with single-item loneliness and depressive symptoms (rs ≈ 0.50) and moderate correlations with aggressive and prosocial behavior in the expected directions, whereas KULoS-I demonstrated weaker convergent and criterion-related validity. Cross-lagged panel analyses revealed that KULoS-D at Time 1 significantly predicted depressive symptoms at Time 2 after controlling for baseline depressive symptoms, whereas KULoS-I did not predict depressive symptoms. Overall, these findings support the KULoS-D as a brief and psychometrically robust measure of loneliness in children and early adolescents, with potential utility for large-scale research and early screening.
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