During the first lockdown related to the COVID-19 crisis, more than 12 million students in France were affected by school closures. Previous studies have shown that when children and adolescents are not in school, they are less physically active, spend more time in front of screens, and have disrupted sleep patterns. Parents are often the first to notice problems with their children's misuse of social media, and children tend to underestimate how often and how long they use social media. Therefore, given the increase in social media use and the limitations of self-assessment scales, it seems necessary to supplement the identification of problematic social media use in children with parental hetero-assessments. The main objective of the research is to translate, culturally adapt into French, and validate the parent version of the Social Media Disorder Scale (SMDS-P). The secondary objectives are 1) to determine the degree and meaning of discrepancies in the scores for problematic social media use obtained by the parent-child pair, and 2) to study the socio-demographic, clinical, and environmental factors associated with problematic social media use (according to the SMDS score) among preteens and teens. The population of interest consists of parent/children pairs aged 10 to 17. This population is recruited from consultants in the pediatrics and child psychiatry departments of the Centre Hospitalier de Versailles. This is a cross-sectional observational epidemiological study.
Study Type
OBSERVATIONAL
Enrollment
300
Hospital Versailles
Le Chesnay, France
Psychometric properties of the French parent version of the Social Media Disorder Scale
Combination of Classical Test Theory (CTT) and Item Response Theory (IRT) analysis
Time frame: 1 month for the translation and French adaptation of the SMDS-P 2 months to study the psychometric properties of the scale once data collection is complete
Degree and direction of discrepancies in scores for problematic social media use obtained by parent-child pairs.
Time frame: 2 months to do the statistical analysis once data collection is complete
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