Centre d'Information et de documentation du CRA Rhône-Alpes
CRA
Informations pratiques
-
Adresse
Centre d'information et de documentation
du CRA Rhône-Alpes
Centre Hospitalier le Vinatier
bât 211
95, Bd Pinel
69678 Bron CedexHoraires
Lundi au Vendredi
9h00-12h00 13h30-16h00Contact
Tél: +33(0)4 37 91 54 65
Mail
Fax: +33(0)4 37 91 54 37
-
Résultat de la recherche
1 recherche sur le mot-clé 'Children?s Sleep Habits Questionnaire'
Affiner la recherche Générer le flux rss de la recherche
Partager le résultat de cette recherche Faire une suggestion
Predicting future sleep problems in young autistic children / Amy M SHUI in Autism, 27-7 (October 2023)
[article]
Titre : Predicting future sleep problems in young autistic children Type de document : Texte imprimé et/ou numérique Auteurs : Amy M SHUI, Auteur ; Linnea A LAMPINEN, Auteur ; Amanda RICHDALE, Auteur ; Terry KATZ, Auteur Article en page(s) : p.2063-2085 Langues : Anglais (eng) Mots-clés : autism spectrum disorders Children?s Sleep Habits Questionnaire insomnia sensory issues sleep measures Index. décimale : PER Périodiques Résumé : Sleep problems are common in autistic children and adversely impact daytime functioning. Knowledge of predictive factors could help with treatment and prevention of these problems. This study aimed to determine predictors of sleep problems among young autistic children. Study cohorts consisted of autistic children aged 2-5?years who did not have sleep problems at a first visit and had sleep measure data available at a subsequent visit. Sleep problems for five study cohorts were defined by different methods: Children?s Sleep Habits Questionnaire with two cutoff scores (41 and 48; cohort n=101 and 204, respectively), Children?s Sleep Habits Questionnaire-autism derived cutoff score (35; n=188), and parent- (n=205) or clinician- (n=252) report. Separate predictive models of sleep problems were developed in each cohort using multivariable logistic regression with final model predictors determined by backward elimination selection. Model performance was evaluated. Two of the five models had both adequate discrimination and calibration performance predicting (1) Children?s Sleep Habits Questionnaire score???48 and (2) Children?s Sleep Habits Questionnaire-autism score???35. In both models, self-injurious behavior, sensory issues, dental problems, and lower primary caregiver education level were significant risk factors of future sleep problems. These predictors may be useful in helping clinicians provide prevention strategies or early intervention for children who are at a higher risk of developing sleep problems.Lay abstractSleep problems are common in autistic children and negatively impact daytime functioning. A method for predicting sleep problems could help with treatment and prevention of such problems. This study aimed to determine predictors of sleep problems among young autistic children. Study participants consisted of autistic children aged 2-5?years who did not have sleep problems at a first visit (Autism Treatment Network Registry) and had sleep data available at a subsequent visit (Registry Call-Back Assessment study). Sleep problems for five study cohorts of children were defined by different methods, including parent questionnaires and parent- or clinician-report of sleep problems. We found that self-injurious behavior, sensory issues, dental problems, and lower primary caregiver education level were significant risk factors of future sleep problems. These predictors may help clinicians provide prevention or earlier treatment for children who are at risk of developing sleep problems. En ligne : http://dx.doi.org/10.1177/13623613231152963 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510
in Autism > 27-7 (October 2023) . - p.2063-2085[article] Predicting future sleep problems in young autistic children [Texte imprimé et/ou numérique] / Amy M SHUI, Auteur ; Linnea A LAMPINEN, Auteur ; Amanda RICHDALE, Auteur ; Terry KATZ, Auteur . - p.2063-2085.
Langues : Anglais (eng)
in Autism > 27-7 (October 2023) . - p.2063-2085
Mots-clés : autism spectrum disorders Children?s Sleep Habits Questionnaire insomnia sensory issues sleep measures Index. décimale : PER Périodiques Résumé : Sleep problems are common in autistic children and adversely impact daytime functioning. Knowledge of predictive factors could help with treatment and prevention of these problems. This study aimed to determine predictors of sleep problems among young autistic children. Study cohorts consisted of autistic children aged 2-5?years who did not have sleep problems at a first visit and had sleep measure data available at a subsequent visit. Sleep problems for five study cohorts were defined by different methods: Children?s Sleep Habits Questionnaire with two cutoff scores (41 and 48; cohort n=101 and 204, respectively), Children?s Sleep Habits Questionnaire-autism derived cutoff score (35; n=188), and parent- (n=205) or clinician- (n=252) report. Separate predictive models of sleep problems were developed in each cohort using multivariable logistic regression with final model predictors determined by backward elimination selection. Model performance was evaluated. Two of the five models had both adequate discrimination and calibration performance predicting (1) Children?s Sleep Habits Questionnaire score???48 and (2) Children?s Sleep Habits Questionnaire-autism score???35. In both models, self-injurious behavior, sensory issues, dental problems, and lower primary caregiver education level were significant risk factors of future sleep problems. These predictors may be useful in helping clinicians provide prevention strategies or early intervention for children who are at a higher risk of developing sleep problems.Lay abstractSleep problems are common in autistic children and negatively impact daytime functioning. A method for predicting sleep problems could help with treatment and prevention of such problems. This study aimed to determine predictors of sleep problems among young autistic children. Study participants consisted of autistic children aged 2-5?years who did not have sleep problems at a first visit (Autism Treatment Network Registry) and had sleep data available at a subsequent visit (Registry Call-Back Assessment study). Sleep problems for five study cohorts of children were defined by different methods, including parent questionnaires and parent- or clinician-report of sleep problems. We found that self-injurious behavior, sensory issues, dental problems, and lower primary caregiver education level were significant risk factors of future sleep problems. These predictors may help clinicians provide prevention or earlier treatment for children who are at risk of developing sleep problems. En ligne : http://dx.doi.org/10.1177/13623613231152963 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510