Children and Adolescents Psychological Distress Scale During COVID-19 Pandemic: Validation of a Psychometric Instrument (CONFEADO Study).

COVID-19 adolescents children distress mental health psychometric scale validation

Journal

Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006

Informations de publication

Date de publication:
2022
Historique:
received: 24 12 2021
accepted: 23 06 2022
entrez: 25 8 2022
pubmed: 26 8 2022
medline: 26 8 2022
Statut: epublish

Résumé

In March 2020, the WHO declared a pandemic (COVID-19) due to the SARS-CoV-2 virus. In France, school closures and lockdowns were implemented. In this unprecedented context for French adolescents and children, the CONFEADO study surveyed children aged 9 to 18 years to assess their mental health, psychological distress, and resilience during and after the lockdown in relation to their living and housing conditions. To assess psychological distress, a psychometric tool (Children and Adolescent Psychological Distress Scale-CAPDS-10) was specifically designed for the research. This article presents the psychometric validity of the CAPDS-10. This cross-sectional study collected data from June 9 to September 14, 2020, from children and adolescents (9 to 18 years of age) via an online questionnaire after sending it to a large network of partners. Psychological distress, resilience, and trait anxiety were assessed using the CAPDS-10, the Child and Youth Resilience Measure (CYRM), and the State-Trait Anxiety Inventory for Children (STAIC). The CAPDS-10 measured perceived psychological distress in the most recent 2 weeks (primary endpoint). The predictive power of the CAPDS-10 was determined by statistical analysis. We proceeded to a confirmatory factor analysis to validate the scale at a clinical level. We carried out a psychometric validation with a step to verify the uni-dimensionality of the scale (PCA analysis) and the calculation of convergent and divergent validity, correlation coefficient between items and subscales, Cronbach's alpha for reliability, determination of a cut-off score for the AUROC index. Three thousand and forty eight children and adolescents completed the CAPDS-10. Analysis confirmed a three-factor model (anxiety, depression, and aggressive behavior) (RMSEA = 0.072 [0.067; 0.077], CFI = 0.954), with a correlation coefficient between items >0.4. PCA analysis concluded that the scale is unidimensional. Reliability was satisfactory with Cronbach's alpha coefficients >0.7 (0.86). In addition, prediction was good with an AUROC index equal to 0.73 and a threshold score for severe distress greater than or equal to 19. The CAPDS-10 measures psychological distress over the most recent 2-week period with good psychometric qualities. It could be used in crisis or prevention contexts in the general population or in clinical settings.

Identifiants

pubmed: 36003975
doi: 10.3389/fpsyt.2022.843104
pmc: PMC9393589
doi:

Types de publication

Journal Article

Langues

eng

Pagination

843104

Informations de copyright

Copyright © 2022 De Stefano, Laurent, Kaindje-Fondjo, Estevez, Habran, Falissard, Haag, Khireddine, D'Hont, Baubet, Oppenchaim, Vandentorren and Rezzoug.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Carla De Stefano (C)

Université Paris 13 Sorbonne Paris Nord, Bobigny, France.
AP-HP, Urgences - Samu 93, Hôpital Avicenne, Bobigny, France.
AP-HP, Department of Child and Adolescent Psychiatry and General Psychiatry, Avicenne Hospital, Bobigny, France.
Centre National de Ressources et de Résilience Lille-Paris (CN2R), Lille, France.

Isaura Laurent (I)

Ecole Nationale de Statistique et Analyse de l'Information (ENSAI), Bruz, France.

Véronique-Carelle Kaindje-Fondjo (VC)

Ecole Nationale de Statistique et Analyse de l'Information (ENSAI), Bruz, France.

Mégane Estevez (M)

INSERM UMR 1219, Population Health, Phare Team, University of Bordeaux, Bordeaux, France.

Enguerrand Habran (E)

Fonds FHF Recherche et Innovation, Paris, France.

Bruno Falissard (B)

Centre de Recherche en épidemiologie et santé des populations (CESP), Université Paris Saclay, Villejuif, France.

Pascale Haag (P)

Laboratoire BONHEURS, Ecole des Hautes Etudes en Sciences Sociales (EHESS), LabSchool Network, Paris, France.

Imane Khireddine (I)

Santé Publique France, Scientific and International Direction, Saint-Maurice, France.

Fabien D'Hont (F)

Centre National de Ressources et de Résilience Lille-Paris (CN2R), Lille, France.
Centre Hospitalier Universitaire de Lille Inserm, University Lille, LilNCog-Lille Neuroscience and Cognition, Lille, France.

Thierry Baubet (T)

Université Paris 13 Sorbonne Paris Nord, Bobigny, France.
AP-HP, Department of Child and Adolescent Psychiatry and General Psychiatry, Avicenne Hospital, Bobigny, France.
Centre National de Ressources et de Résilience Lille-Paris (CN2R), Lille, France.
Centre de Recherche en épidemiologie et santé des populations (CESP), Université Paris Saclay, Villejuif, France.

Nicolas Oppenchaim (N)

Université de Tours, UMR CITERES, Allée Ferdinand de Lesseps, Tours, France.

Stéphanie Vandentorren (S)

Fonds FHF Recherche et Innovation, Paris, France.
Santé Publique France, Scientific and International Direction, Saint-Maurice, France.

Dalila Rezzoug (D)

Université Paris 13 Sorbonne Paris Nord, Bobigny, France.
AP-HP, Department of Child and Adolescent Psychiatry and General Psychiatry, Avicenne Hospital, Bobigny, France.
Centre de Recherche en épidemiologie et santé des populations (CESP), Université Paris Saclay, Villejuif, France.

Classifications MeSH