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Who benefits most from an evidence-based program to reduce anxiety and depression in children? A latent profile analysis / Silvia MELERO in Development and Psychopathology, 34-4 (October 2022)
[article]
Titre : Who benefits most from an evidence-based program to reduce anxiety and depression in children? A latent profile analysis Type de document : Texte imprimé et/ou numérique Auteurs : Silvia MELERO, Auteur ; Alexandra MORALES, Auteur ; Samuel TOMCZYK, Auteur ; José Pedro ESPADA, Auteur ; Mireia ORGILES, Auteur Article en page(s) : p.1636-1644 Langues : Anglais (eng) Mots-clés : Adolescent Anxiety/therapy Anxiety Disorders/prevention & control Child Cognitive Behavioral Therapy/methods Depression/epidemiology/therapy Fear Female Humans Male anxiety children depression latent transition analysis prevention Index. décimale : PER Périodiques Résumé : Comorbidity between anxiety and depression symptoms is often high in children. Person-oriented statistical approaches are useful to detect heterogeneity of individuals and diverse patterns of response to treatment. This study aimed to explore the different profiles in a sample of Spanish children who received the Super Skills for Life (SSL) transdiagnostic program, to identify which profile of individuals benefited most from the intervention and the likelihood of transition of symptom patterns over time. Participants were 119 children (42.9% were female) aged 8-12 years old (M = 9.39; SD = 1.26). Children completed anxiety and depression measures at the baseline, postintervention, and 12-months follow-up. Results from latent transition analysis (LTA) revealed two groups depending on the severity of the anxiety and depression symptoms: low symptoms (LS) and high symptoms (HS). LS group remained stable and HS decreased by 25%, switching to the LS group. Children with greater social anxiety benefited most from the program over time. Furthermore, older children were more likely to improve rapidly one year after the intervention compared to younger children. This study provides information to consider when implementing preventive interventions for schoolchildren and to tailor them according to the target population characteristics to increase their effectiveness. En ligne : http://dx.doi.org/10.1017/s0954579421000249 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489
in Development and Psychopathology > 34-4 (October 2022) . - p.1636-1644[article] Who benefits most from an evidence-based program to reduce anxiety and depression in children? A latent profile analysis [Texte imprimé et/ou numérique] / Silvia MELERO, Auteur ; Alexandra MORALES, Auteur ; Samuel TOMCZYK, Auteur ; José Pedro ESPADA, Auteur ; Mireia ORGILES, Auteur . - p.1636-1644.
Langues : Anglais (eng)
in Development and Psychopathology > 34-4 (October 2022) . - p.1636-1644
Mots-clés : Adolescent Anxiety/therapy Anxiety Disorders/prevention & control Child Cognitive Behavioral Therapy/methods Depression/epidemiology/therapy Fear Female Humans Male anxiety children depression latent transition analysis prevention Index. décimale : PER Périodiques Résumé : Comorbidity between anxiety and depression symptoms is often high in children. Person-oriented statistical approaches are useful to detect heterogeneity of individuals and diverse patterns of response to treatment. This study aimed to explore the different profiles in a sample of Spanish children who received the Super Skills for Life (SSL) transdiagnostic program, to identify which profile of individuals benefited most from the intervention and the likelihood of transition of symptom patterns over time. Participants were 119 children (42.9% were female) aged 8-12 years old (M = 9.39; SD = 1.26). Children completed anxiety and depression measures at the baseline, postintervention, and 12-months follow-up. Results from latent transition analysis (LTA) revealed two groups depending on the severity of the anxiety and depression symptoms: low symptoms (LS) and high symptoms (HS). LS group remained stable and HS decreased by 25%, switching to the LS group. Children with greater social anxiety benefited most from the program over time. Furthermore, older children were more likely to improve rapidly one year after the intervention compared to younger children. This study provides information to consider when implementing preventive interventions for schoolchildren and to tailor them according to the target population characteristics to increase their effectiveness. En ligne : http://dx.doi.org/10.1017/s0954579421000249 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489 Neurodevelopmental Traits and Longitudinal Transition Patterns in Internet Addiction: A 2-year Prospective Study / Tomoya HIROTA in Journal of Autism and Developmental Disorders, 51-4 (April 2021)
[article]
Titre : Neurodevelopmental Traits and Longitudinal Transition Patterns in Internet Addiction: A 2-year Prospective Study Type de document : Texte imprimé et/ou numérique Auteurs : Tomoya HIROTA, Auteur ; Michio TAKAHASHI, Auteur ; Masaki ADACHI, Auteur ; Yui SAKAMOTO, Auteur ; Kazuhiko NAKAMURA, Auteur Article en page(s) : p.1365-1374 Langues : Anglais (eng) Mots-clés : Internet addiction Latent class analysis Latent transition analysis Longitudinal study Neurodevelopmental traits Index. décimale : PER Périodiques Résumé : Despite increasing attention to internet addiction (IA) in both clinical practice and research, our understanding of longitudinal changes of IA status is limited. In the present study, we employed latent transition analysis to investigate patterns of transitions and the stability of IA status among 5483 students (aged 9-12 years) over the two-year study periods. Additionally, we examined whether neurodevelopmental traits predicted certain transition patterns. The stability rate of IA class membership and the conversion rate from non-IA to IA status across the 2 years were 47% and 11%, respectively. The regression model revealed that autistic traits predicted the persisting IA pattern and that inattention traits predicted both the persisting and converting (from non-IA to IA status) patterns. En ligne : http://dx.doi.org/10.1007/s10803-020-04620-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=445
in Journal of Autism and Developmental Disorders > 51-4 (April 2021) . - p.1365-1374[article] Neurodevelopmental Traits and Longitudinal Transition Patterns in Internet Addiction: A 2-year Prospective Study [Texte imprimé et/ou numérique] / Tomoya HIROTA, Auteur ; Michio TAKAHASHI, Auteur ; Masaki ADACHI, Auteur ; Yui SAKAMOTO, Auteur ; Kazuhiko NAKAMURA, Auteur . - p.1365-1374.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 51-4 (April 2021) . - p.1365-1374
Mots-clés : Internet addiction Latent class analysis Latent transition analysis Longitudinal study Neurodevelopmental traits Index. décimale : PER Périodiques Résumé : Despite increasing attention to internet addiction (IA) in both clinical practice and research, our understanding of longitudinal changes of IA status is limited. In the present study, we employed latent transition analysis to investigate patterns of transitions and the stability of IA status among 5483 students (aged 9-12 years) over the two-year study periods. Additionally, we examined whether neurodevelopmental traits predicted certain transition patterns. The stability rate of IA class membership and the conversion rate from non-IA to IA status across the 2 years were 47% and 11%, respectively. The regression model revealed that autistic traits predicted the persisting IA pattern and that inattention traits predicted both the persisting and converting (from non-IA to IA status) patterns. En ligne : http://dx.doi.org/10.1007/s10803-020-04620-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=445