Associations between social activities and depressive symptoms in adolescents and young adults with autism spectrum disorder: Testing the indirect effects of loneliness / Linnea A. LAMPINEN ; Shuting ZHENG ; Virgina SULLIVAN ; Julie Lounds TAYLOR ; Somer L. BISHOP in Autism, 28-2 (February 2024)  

Public ISBD [article]  inAutism > 28-2 (February 2024) . - p.461?473 Titre : Associations between social activities and depressive symptoms in adolescents and young adults with autism spectrum disorder: Testing the indirect effects of loneliness Type de document : texte imprimé Auteurs : Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Virgina SULLIVAN, Auteur ; Julie Lounds TAYLOR, Auteur ; Somer L. BISHOP, Auteur Article en page(s) : p.461?473 Mots-clés : adolescents  adults  autism spectrum disorders  depression  social cognition and social behavior Index. décimale : PER Périodiques Résumé : To better understand the associations between social activities and depressive symptoms in adolescents and young adults with autism spectrum disorder, this study utilized interpersonal theories of depression by accounting for both frequency of various social activities and perceptions of how well their time spent in these activities meet their needs and testing the indirect effects of loneliness in this association. To test these ideas, 321 participants who were recruited from the Simons Foundation Powering Autism Research for Knowledge (SPARK) research match registry and completed online measures of social activities, depressive symptoms, and loneliness. While the specific pattern was different for individual activities, it was found that those who felt that their current frequency of activities did not meet their needs had higher rates of depressive symptoms than those who felt they did meet their needs and that loneliness help to understand the indirect effects of the association between social activities and depressive symptoms. Overall, the findings suggest that how individuals feel about the time they are spending in social activities, such as with friends and in general social activities, could impact outcomes such as depression and loneliness. Lay Abstract Previous studies have found that social activities and depressive symptoms in adolescents and young adults with autism spectrum disorder are related. To better understand the relationship between these issues, this study examined the frequency of various types of social activities as well as if the participants felt that the frequency of time spent in the activity met their personal needs. In addition, the role of loneliness was tested as a possible way to understand the relationship between activities and depressive symptoms. To test these ideas, 321 participants who were recruited from the Simons Foundation Powering Autism Research for Knowledge (SPARK) research match registry and completed online measures of social activities, depressive symptoms, and loneliness. While the specific pattern was different for individual activities, it was found that those who felt that their current frequency of activities did not meet their needs had higher rates of depressive symptoms than those who felt they did meet their needs. Also, loneliness helps to understand relationship between social activities and depressive symptoms. The findings were discussed in light of previous study findings, interpersonal theories of depression, and clinical implications. En ligne : https://dx.doi.org/10.1177/13623613231173859 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=519 [article] Associations between social activities and depressive symptoms in adolescents and young adults with autism spectrum disorder: Testing the indirect effects of loneliness [texte imprimé] / Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Virgina SULLIVAN, Auteur ; Julie Lounds TAYLOR, Auteur ; Somer L. BISHOP, Auteur . - p.461?473. in Autism > 28-2 (February 2024) . - p.461?473 Mots-clés : adolescents  adults  autism spectrum disorders  depression  social cognition and social behavior Index. décimale : PER Périodiques Résumé : To better understand the associations between social activities and depressive symptoms in adolescents and young adults with autism spectrum disorder, this study utilized interpersonal theories of depression by accounting for both frequency of various social activities and perceptions of how well their time spent in these activities meet their needs and testing the indirect effects of loneliness in this association. To test these ideas, 321 participants who were recruited from the Simons Foundation Powering Autism Research for Knowledge (SPARK) research match registry and completed online measures of social activities, depressive symptoms, and loneliness. While the specific pattern was different for individual activities, it was found that those who felt that their current frequency of activities did not meet their needs had higher rates of depressive symptoms than those who felt they did meet their needs and that loneliness help to understand the indirect effects of the association between social activities and depressive symptoms. Overall, the findings suggest that how individuals feel about the time they are spending in social activities, such as with friends and in general social activities, could impact outcomes such as depression and loneliness. Lay Abstract Previous studies have found that social activities and depressive symptoms in adolescents and young adults with autism spectrum disorder are related. To better understand the relationship between these issues, this study examined the frequency of various types of social activities as well as if the participants felt that the frequency of time spent in the activity met their personal needs. In addition, the role of loneliness was tested as a possible way to understand the relationship between activities and depressive symptoms. To test these ideas, 321 participants who were recruited from the Simons Foundation Powering Autism Research for Knowledge (SPARK) research match registry and completed online measures of social activities, depressive symptoms, and loneliness. While the specific pattern was different for individual activities, it was found that those who felt that their current frequency of activities did not meet their needs had higher rates of depressive symptoms than those who felt they did meet their needs. Also, loneliness helps to understand relationship between social activities and depressive symptoms. The findings were discussed in light of previous study findings, interpersonal theories of depression, and clinical implications. En ligne : https://dx.doi.org/10.1177/13623613231173859 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=519

Characteristics associated with parental estimates of sleep duration in children with autism spectrum disorders / Amy M. SHUI in Research in Autism Spectrum Disorders, 80 (February 2021)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 80 (February 2021) . - p.101698 Titre : Characteristics associated with parental estimates of sleep duration in children with autism spectrum disorders Type de document : texte imprimé Auteurs : Amy M. SHUI, Auteur ; Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Terry KATZ, Auteur Article en page(s) : p.101698 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Sleep disturbances  Sleep habits  Sleep duration  Bedtime consistency Index. décimale : PER Périodiques Résumé : Background Sleep problems are common in individuals with ASD. This study examined the relationships between bedtime consistency, cognitive functioning, comorbid diagnoses, intervention, demographics and sleep duration in children with ASD. Method Cross-sectional data from 1683 children with ASD in the 2016 and 2017 National Survey of Children's Health were analyzed. The sample was 80 % male, 46 % non-Hispanic white, and mean age was 10.5 (SD 4.1) years. All data were parent report. Multiple linear regression was performed. Results ASD severity was associated with shorter sleep duration, and bedtime consistency was associated with longer sleep duration. Age moderated the effects of both bedtime consistency and ADD/ADHD on sleep duration. Both the positive effect of bedtime consistency and the negative effect of ADD/ADHD on sleep duration became less pronounced with age. Conclusion Although the challenges related to sleep and behavior may differ by age of the child, bedtime consistency could be a good target to improve sleep duration for all children with ASD. Future studies, especially longitudinal studies, on sleep habits and sleep hygiene, in conjunction with other measures of sleep patterns (e.g., night wakings) and correlates of sleep problems, may provide further evidence for the importance of good sleep practices and guide sleep treatment in children with ASD. En ligne : https://doi.org/10.1016/j.rasd.2020.101698 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438 [article] Characteristics associated with parental estimates of sleep duration in children with autism spectrum disorders [texte imprimé] / Amy M. SHUI, Auteur ; Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Terry KATZ, Auteur . - p.101698. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 80 (February 2021) . - p.101698 Mots-clés : Autism spectrum disorder  Sleep disturbances  Sleep habits  Sleep duration  Bedtime consistency Index. décimale : PER Périodiques Résumé : Background Sleep problems are common in individuals with ASD. This study examined the relationships between bedtime consistency, cognitive functioning, comorbid diagnoses, intervention, demographics and sleep duration in children with ASD. Method Cross-sectional data from 1683 children with ASD in the 2016 and 2017 National Survey of Children's Health were analyzed. The sample was 80 % male, 46 % non-Hispanic white, and mean age was 10.5 (SD 4.1) years. All data were parent report. Multiple linear regression was performed. Results ASD severity was associated with shorter sleep duration, and bedtime consistency was associated with longer sleep duration. Age moderated the effects of both bedtime consistency and ADD/ADHD on sleep duration. Both the positive effect of bedtime consistency and the negative effect of ADD/ADHD on sleep duration became less pronounced with age. Conclusion Although the challenges related to sleep and behavior may differ by age of the child, bedtime consistency could be a good target to improve sleep duration for all children with ASD. Future studies, especially longitudinal studies, on sleep habits and sleep hygiene, in conjunction with other measures of sleep patterns (e.g., night wakings) and correlates of sleep problems, may provide further evidence for the importance of good sleep practices and guide sleep treatment in children with ASD. En ligne : https://doi.org/10.1016/j.rasd.2020.101698 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438

DSM-5 based algorithms for the Autism Diagnostic Interview-Revised for children ages 4-17?years / Linnea A. LAMPINEN in Journal of Child Psychology and Psychiatry, 66-9 (September 2025)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 66-9 (September 2025) . - p.1403-1413 Titre : DSM-5 based algorithms for the Autism Diagnostic Interview-Revised for children ages 4-17?years Type de document : texte imprimé Auteurs : Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Lindsay OLSON, Auteur ; Vanessa H. BAL, Auteur ; Audrey E. THURM, Auteur ; Amy N. ESLER, Auteur ; Stephen M. KANNE, Auteur ; So Hyun KIM, Auteur ; Catherine LORD, Auteur ; China I. PARENTEAU, Auteur ; Kerri P. NOWELL, Auteur ; Jane E. ROBERTS, Auteur ; Nicole TAKAHASHI, Auteur ; Somer L. BISHOP, Auteur Article en page(s) : p.1403-1413 Langues : Anglais (eng) Mots-clés : Autism  autism spectrum disorder  ADI-R  diagnosis  sensitivity  specificity  diagnostic instruments Index. décimale : PER Périodiques Résumé : Background The Autism Diagnostic Interview, Revised (ADI-R) is a caregiver interview that is widely used as part of the diagnostic assessment for Autism Spectrum Disorder (ASD). Few large-scale studies have reported the sensitivity and specificity of the ADI-R algorithms, which are based on DSM-IV Autistic Disorder criteria. Kim and Lord (Journal of Autism and Developmental Disorders, 2012, 42, 82) developed revised DSM-5-based toddler algorithms, which are only applicable to children under 4 years. The current study developed DSM-5-based algorithms for children ages 4 17 years and examined their performance compared to clinical diagnosis and to the original DSM-IV-based algorithms. Methods Participants included 2,905 cases (2,144 ASD, 761 non-ASD) from clinical-research databanks. Children were clinically referred for ASD-related concerns or recruited for ASD-focused research projects, and their caregivers completed the ADI-R as part of a comprehensive diagnostic assessment. Items relevant to DSM-5 ASD criteria were selected for the new algorithms primarily based on their ability to discriminate ASD from non-ASD cases. Algorithms were created for individuals with and without reported use of phrase speech. Confirmatory factor analysis tested the fit of a DSM-5-based two-factor structure. ROC curve analyses examined the diagnostic accuracy of the revised algorithms compared to clinical diagnosis. Results The two-factor structure of the revised ADI-R algorithms showed adequate fit. Sensitivity of the original ADI-R algorithm ranged from 74% to 96%, and specificity ranged from 38% to 83%. The revised DSM-5-based algorithms performed similarly or better, with sensitivity ranging from 77% to 99% and specificity ranging from 71% to 92%. Conclusions In this large sample aggregated from US clinical-research sites, the original ADI-R algorithm showed adequate diagnostic validity, with poorer specificity among individuals without phrase speech. The revised DSM-5-based algorithms introduced here performed comparably to the original algorithms, with improved specificity in individuals without phrase speech. These revised algorithms offer an alternative method for summarizing ASD symptoms in a DSM-5-compatible manner. En ligne : https://doi.org/10.1111/jcpp.14159 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=566 [article] DSM-5 based algorithms for the Autism Diagnostic Interview-Revised for children ages 4-17?years [texte imprimé] / Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Lindsay OLSON, Auteur ; Vanessa H. BAL, Auteur ; Audrey E. THURM, Auteur ; Amy N. ESLER, Auteur ; Stephen M. KANNE, Auteur ; So Hyun KIM, Auteur ; Catherine LORD, Auteur ; China I. PARENTEAU, Auteur ; Kerri P. NOWELL, Auteur ; Jane E. ROBERTS, Auteur ; Nicole TAKAHASHI, Auteur ; Somer L. BISHOP, Auteur . - p.1403-1413. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 66-9 (September 2025) . - p.1403-1413 Mots-clés : Autism  autism spectrum disorder  ADI-R  diagnosis  sensitivity  specificity  diagnostic instruments Index. décimale : PER Périodiques Résumé : Background The Autism Diagnostic Interview, Revised (ADI-R) is a caregiver interview that is widely used as part of the diagnostic assessment for Autism Spectrum Disorder (ASD). Few large-scale studies have reported the sensitivity and specificity of the ADI-R algorithms, which are based on DSM-IV Autistic Disorder criteria. Kim and Lord (Journal of Autism and Developmental Disorders, 2012, 42, 82) developed revised DSM-5-based toddler algorithms, which are only applicable to children under 4 years. The current study developed DSM-5-based algorithms for children ages 4 17 years and examined their performance compared to clinical diagnosis and to the original DSM-IV-based algorithms. Methods Participants included 2,905 cases (2,144 ASD, 761 non-ASD) from clinical-research databanks. Children were clinically referred for ASD-related concerns or recruited for ASD-focused research projects, and their caregivers completed the ADI-R as part of a comprehensive diagnostic assessment. Items relevant to DSM-5 ASD criteria were selected for the new algorithms primarily based on their ability to discriminate ASD from non-ASD cases. Algorithms were created for individuals with and without reported use of phrase speech. Confirmatory factor analysis tested the fit of a DSM-5-based two-factor structure. ROC curve analyses examined the diagnostic accuracy of the revised algorithms compared to clinical diagnosis. Results The two-factor structure of the revised ADI-R algorithms showed adequate fit. Sensitivity of the original ADI-R algorithm ranged from 74% to 96%, and specificity ranged from 38% to 83%. The revised DSM-5-based algorithms performed similarly or better, with sensitivity ranging from 77% to 99% and specificity ranging from 71% to 92%. Conclusions In this large sample aggregated from US clinical-research sites, the original ADI-R algorithm showed adequate diagnostic validity, with poorer specificity among individuals without phrase speech. The revised DSM-5-based algorithms introduced here performed comparably to the original algorithms, with improved specificity in individuals without phrase speech. These revised algorithms offer an alternative method for summarizing ASD symptoms in a DSM-5-compatible manner. En ligne : https://doi.org/10.1111/jcpp.14159 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=566

Patterns of sleep disturbances and associations with depressive symptoms in autistic young adults / Linnea A. LAMPINEN in Autism Research, 15-11 (November 2022)  

Public ISBD [article]  inAutism Research > 15-11 (November 2022) . - p.2126-2137 Titre : Patterns of sleep disturbances and associations with depressive symptoms in autistic young adults Type de document : texte imprimé Auteurs : Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Julie LOUNDS TAYLOR, Auteur ; Ryan E. ADAMS, Auteur ; Florencia PEZZIMENTI, Auteur ; Lauren D. ASARNOW, Auteur ; Somer L. BISHOP, Auteur Article en page(s) : p.2126-2137 Langues : Anglais (eng) Mots-clés : Humans  Young Adult  Child  Adolescent  Adult  Autistic Disorder/complications  Depression/complications/epidemiology  Autism Spectrum Disorder/complications/epidemiology  Sleep Wake Disorders/complications/epidemiology  Sleep  delayed phase  depression  sleep efficiency  young adults Index. décimale : PER Périodiques Résumé : Autistic individuals are at an increased risk for both sleep disturbances and depression. While studies in the general population and in autistic adults have drawn general links between sleep disturbances and mental health, few studies have examined the extent to which specific sleep problems may be implicated in the extremely high rates of depression among autistic adults. This study aimed to describe the patterns of sleep disturbances in autistic young adults, and their associations with depressive symptoms while controlling for relevant demographic factors. A sample of 304 legally independent adults (age 18-35 years old) with a childhood diagnosis of autism spectrum disorder self-reported on their average sleep behaviors during the past week and depressive symptoms on the Beck Depressive Inventory-II. A significant proportion (86.01%) of autistic young adults experienced at least one of the primary sleep disturbances of interest, including short total sleep time (39.59%), poor sleep efficiency (60.07%), and delayed sleep phase (36.18%). Additionally, lower sleep efficiency and delayed sleep phase were both associated with higher depressive symptoms. The associations between sleep and depressive symptoms identified in our study suggest that sleep treatments may hold potential for ameliorating depressive symptoms in autistic adults who also experience sleep problems. Further research using daily sleep diaries and objective measures of sleep behaviors, as well as longitudinal studies, are needed to understand how changes in sleep may relate to changes in depressive symptoms in autistic adults. En ligne : http://dx.doi.org/10.1002/aur.2812 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 [article] Patterns of sleep disturbances and associations with depressive symptoms in autistic young adults [texte imprimé] / Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Julie LOUNDS TAYLOR, Auteur ; Ryan E. ADAMS, Auteur ; Florencia PEZZIMENTI, Auteur ; Lauren D. ASARNOW, Auteur ; Somer L. BISHOP, Auteur . - p.2126-2137. Langues : Anglais (eng) in Autism Research > 15-11 (November 2022) . - p.2126-2137 Mots-clés : Humans  Young Adult  Child  Adolescent  Adult  Autistic Disorder/complications  Depression/complications/epidemiology  Autism Spectrum Disorder/complications/epidemiology  Sleep Wake Disorders/complications/epidemiology  Sleep  delayed phase  depression  sleep efficiency  young adults Index. décimale : PER Périodiques Résumé : Autistic individuals are at an increased risk for both sleep disturbances and depression. While studies in the general population and in autistic adults have drawn general links between sleep disturbances and mental health, few studies have examined the extent to which specific sleep problems may be implicated in the extremely high rates of depression among autistic adults. This study aimed to describe the patterns of sleep disturbances in autistic young adults, and their associations with depressive symptoms while controlling for relevant demographic factors. A sample of 304 legally independent adults (age 18-35 years old) with a childhood diagnosis of autism spectrum disorder self-reported on their average sleep behaviors during the past week and depressive symptoms on the Beck Depressive Inventory-II. A significant proportion (86.01%) of autistic young adults experienced at least one of the primary sleep disturbances of interest, including short total sleep time (39.59%), poor sleep efficiency (60.07%), and delayed sleep phase (36.18%). Additionally, lower sleep efficiency and delayed sleep phase were both associated with higher depressive symptoms. The associations between sleep and depressive symptoms identified in our study suggest that sleep treatments may hold potential for ameliorating depressive symptoms in autistic adults who also experience sleep problems. Further research using daily sleep diaries and objective measures of sleep behaviors, as well as longitudinal studies, are needed to understand how changes in sleep may relate to changes in depressive symptoms in autistic adults. En ligne : http://dx.doi.org/10.1002/aur.2812 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488

Predicting future sleep problems in young autistic children / Amy M. SHUI in Autism, 27-7 (October 2023)  

Public ISBD [article]  inAutism > 27-7 (October 2023) . - p.2063-2085 Titre : Predicting future sleep problems in young autistic children Type de document : texte imprimé Auteurs : Amy M. SHUI, Auteur ; Linnea A. LAMPINEN, Auteur ; Amanda L. 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 [article] Predicting future sleep problems in young autistic children [texte imprimé] / Amy M. SHUI, Auteur ; Linnea A. LAMPINEN, Auteur ; Amanda L. 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

Self-reported Everyday Sources of Happiness and Unhappiness in Autistic Adults / China I. PARENTEAU in Journal of Autism and Developmental Disorders, 54-4 (April 2024)  

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Sleep disturbance and other co-occurring conditions in autistic children: A network approach to understanding their inter-relationships / Amanda L. RICHDALE in Autism Research, 17-11 (November 2024)  

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