Child, Maternal and Demographic Factors Influencing Caregiver-Reported Autistic Trait Symptomatology in Toddlers.

Current research on children's autistic traits in the general population relies predominantly on caregiver-report, yet the extent to which individual, caregiver or demographic characteristics are associated with informants' ratings has not been sufficiently explored. In this study, caregivers of 396 Singaporean two-year-olds from a birth cohort study completed the Quantitative Checklist for Autism in Toddlers. Children's gender, cognitive functioning and birth order, maternal age, and ethnic group membership were not significant predictors of caregiver-reported autistic traits. Poorer child language development and higher maternal depressive symptoms significantly predicted more social-communicative autistic traits, while lower maternal education predicted more behavioural autistic traits. Children's language and informants' educational level and depressive symptomatology may need to be considered in caregiver-reports of autistic traits.

The psychometric properties of the Quantitative-Checklist for Autism in Toddlers (Q-CHAT) as a measure of autistic traits in a community sample of Singaporean infants and toddlers.

BACKGROUND: There is growing research evidence that subclinical autistic traits are elevated in relatives of individuals with autism spectrum disorder (ASD), continuously distributed in the general population and likely to share common etiology with ASD. A number of measures have been developed to assess autistic traits quantitatively in unselected samples. So far, the Quantitative-Checklist for Autism in Toddlers (Q-CHAT) is one of very few measures developed for use with toddlers as young as 18 months, but little is known about its measurement properties and factor structure. METHODS: The present study examined internal consistency, factor structure, test-retest stability, and convergent validity of the Q-CHAT in a sample of toddlers in Singapore whose caregivers completed the Q-CHAT at 18 (n = 368) and 24 months (n = 396). RESULTS: Three factors were derived accounting for 38.1 % of the variance: social/communication traits, non-social/behavioral traits, and a speech/language factor. Internal consistency was suboptimal for the total and speech/language scores, but acceptable for the social/communication and non-social/behavioral factor scores. Scores were generally stable between 18 and 24 months. Convergent validity was found with the Pervasive Developmental Disorders subscale of the Child Behavior Checklist (CBCL) completed by caregivers when their children were 24 months. Q-CHAT total scores in this sample were higher than those reported in other unselected samples from the UK. CONCLUSIONS: The Q-CHAT was found to have a three-factor structure, acceptable internal consistency for its two main factor scores (social/communication and non-social/behavioral), normally distributed scores in an unselected sample, and similar structure and measurement properties as those reported in other published studies. Findings are discussed in relation to existing literature and future directions for the validation of the Q-CHAT.

Family functioning in Asian families raising children with autism spectrum disorders: the role of capabilities and positive meanings.

BACKGROUND: There has been increasing interest in exploring the factors contributing to successful adaptation and family functioning in ethnically and culturally diverse families who raise children with autism spectrum disorders (ASD), in order to inform more appropriate strength-based family support services. This pilot study used the Family Adjustment and Adaptation Response (FAAR) model as a theoretical framework to investigate the role of families' capabilities (coping strategies and resources of support) and positive meanings in raising a child with ASD in family functioning in an Asian context. METHODS: Sixty-five Singaporean parents of 3- to 11-year-old children with ASD completed a series of questionnaires on demands, coping strategies, social support, positive meanings and family functioning. RESULTS: Families reported a number of helpful coping strategies. Coping through family integration/optimism was most helpful, followed by understanding the condition and by developing esteem and psychological stability. Reported capabilities, but not positive meanings, mediated the relationship between demands and family functioning. CONCLUSION: The findings are discussed in relation to existing literature, possible specific cultural issues, and the strengths and limitations of the study. Implications for supporting families of children with ASD in different social and cultural contexts are also discussed.

Is the Autism Treatment Evaluation Checklist a useful tool for monitoring progress in children with autism spectrum disorders?

BACKGROUND: There are few well validated brief measures that can be used to assess the general progress of young children with autism spectrum disorders (ASD) over time. In the present study, the Autism Treatment Evaluation Checklist (ATEC) was used as part of a comprehensive assessment battery to monitor the progress of 22 school-aged children with ASD who had previously taken part in intensive home- or school-based intervention programmes in their pre-school years. METHODS: Parents completed the ATEC when the children were on average 5.5 years and then again 5-6 years later (mean age 10.4 years). Standardised measures were also used to assess cognitive, language and adaptive behaviour skills and severity of autism symptoms over the same period. RESULTS: The ATEC had high internal consistency at both time points. ATEC total and sub-scale scores remained relatively stable over time and were highly and significantly correlated with cognitive, language and adaptive behaviour skills and severity of autism symptoms at both assessment points. Initial ATEC total scores predicted 64% of the variance in scores at the subsequent follow-up. However, there was also considerable variation in the patterns of scores shown by individual children over time. CONCLUSIONS: This study provides some preliminary evidence of the ATEC's potential value for monitoring progress of children with ASD over time. Its advantages and limitations are discussed in the context of the need systematically to monitor the progress of children with ASD over time or in response to intervention.

Monitoring the progress of preschool children with autism enrolled in early intervention programmes: problems in cognitive assessment.

This report examines how conclusions about the progress of preschool children enrolled in early intervention programmes may be influenced by the use of different cognitive assessment tools. As part of a longitudinal treatment outcome study, 24 children with autism aged between 27 and 58 months were each tested on the Bayley, Merrill-Palmer and Vineland scales. Their performance on each of these tests was compared. Results showed that, while scores on the different tests were highly correlated, actual test scores varied considerably, with the Bayley tending to produce the lowest IQ scores and the Merrill-Palmer the highest. These findings have important implications, as it is evident that judgements about the effects of therapy may be significantly influenced by the selection of the tests for pre- and post-treatment assessments. Possible ways of collecting, recording and reporting test data, so as to avoid spurious conclusions about treatment effects, are discussed.