5 results
Search Results
2. Using Standardized Diagnostic Instruments to Classify Children with Autism in the Study to Explore Early Development.
- Author
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Wiggins, Lisa, Reynolds, Ann, Rice, Catherine, Moody, Eric, Bernal, Pilar, Blaskey, Lisa, Rosenberg, Steven, Lee, Li-Ching, and Levy, Susan
- Subjects
DIAGNOSIS of autism ,ALGORITHMS ,AUTISM ,CHILD development ,RESEARCH methodology ,MEDICAL cooperation ,PSYCHOLOGICAL tests ,PSYCHOMETRICS ,QUESTIONNAIRES ,RESEARCH ,PHENOTYPES ,CASE-control method ,DATA analysis software ,DESCRIPTIVE statistics ,CHILDREN ,CLASSIFICATION - Abstract
The Study to Explore Early Development (SEED) is a multi-site case-control study designed to explore the relationship between autism spectrum disorder (ASD) phenotypes and etiologies. The goals of this paper are to (1) describe the SEED algorithm that uses the Autism Diagnostic Interview-Revised (ADI-R) and Autism Diagnostic Observation Schedule (ADOS) to classify children with ASD, (2) examine psychometric properties of different ASD classification methods, including the SEED method that incorporates rules for resolving ADI-R and ADOS discordance, and (3) determine whether restricted interests and repetitive behaviors were noted for children who had instrument discordance resolved using ADI-R social and communication scores. Results support the utility of SEED criteria when well-defined groups of children are an important clinical or research outcome. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
3. Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis.
- Author
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Gilkerson, Jill, Richards, Jeffrey A., Warren, Steven F., Montgomery, Judith K., Greenwood, Charles R., Oller, D. Kimbrough, Hansen, John H. L., and Paul, Terrance D.
- Subjects
LANGUAGE acquisition ,TEST validity ,CHILDREN'S language ,LANGUAGE Environment Analysis System ,VERBAL ability in children ,ANALYSIS of variance ,CHILD development ,CONFIDENCE intervals ,STATISTICAL correlation ,ECOLOGY ,LONGITUDINAL method ,MOTHERS ,QUESTIONNAIRES ,RESEARCH funding ,STATISTICS ,T-test (Statistics) ,VOCABULARY ,DATA analysis ,SOCIOECONOMIC factors ,STATISTICAL reliability ,EDUCATIONAL attainment ,DESCRIPTIVE statistics - Abstract
Purpose: This research provided a first-generation standardization of automated language environment estimates, validated these estimates against standard language assessments, and extended on previous research reporting language behavior differences across socioeconomic groups. Method: Typically developing children between 2 to 48 months of age completed monthly, daylong recordings in their natural language environments over a span of approximately 6–38 months. The resulting data set contained 3,213 12-hr recordings automatically analyzed by using the Language Environment Analysis (LENA) System to generate estimates of (a) the number of adult words in the child’s environment, (b) the amount of caregiver–child interaction, and (c) the frequency of child vocal output. Results: Child vocalization frequency and turn-taking increased with age, whereas adult word counts were age independent after early infancy. Child vocalization and conversational turn estimates predicted 7%– 16% of the variance observed in child language assessment scores. Lower socioeconomic status (SES) children produced fewer vocalizations, engaged in fewer adult–child interactions, and were exposed to fewer daily adult words compared with their higher socioeconomic status peers, but within-group variability was high. Conclusions: The results offer new insight into the landscape of the early language environment, with clinical implications for identification of children at-risk for impoverished language environments. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
4. Identifying patterns of obesity risk behavior to improve pediatric primary care.
- Author
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Schmiege, Sarah J., Gance‐Cleveland, Bonnie, Gilbert, Lynn, Aldrich, Heather, Gilbert, Kevin C., and Barton, Amy
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RISK of childhood obesity ,AGE distribution ,CHILD development ,CHILD health services ,DECISION support systems ,DIET ,INFORMATION storage & retrieval systems ,MEDICAL databases ,NURSE administrators ,PARENTS ,PRIMARY health care ,QUESTIONNAIRES ,RISK assessment ,SCALE analysis (Psychology) ,SCHOOL health services ,SEX distribution ,THEORY ,BODY mass index ,OUTPATIENT medical care management ,FAMILY history (Medicine) ,PHYSICAL activity ,DESCRIPTIVE statistics - Abstract
Purpose To develop profiles of obesity risk behaviors for children and adolescents. Design and Methods Risk assessments were obtained from patients ( n = 971) at a school-based health center. Latent class analysis was used to create subgroups based on seven indicators measuring diet, activity, and screen time. Results Four classes emerged, with 44% classified as the 'Healthiest,' 8% as the 'Least Healthy,' 37% as 'Mixed Diet/Low Activity/Low Screen Time,' and 11% as 'Mixed Diet/High Activity/High Screen Time.' Several demographic predictors distinguished the classes. Practice Implications Obesity risk factor profiles may help providers identify strengths and risks, tailor counseling, and plan interventions with families. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
5. A retrospective longitudinal study of cognitive and language skills in poor reading comprehension.
- Author
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Elwér, Åsa, Gustafson, Stefan, Byrne, Brian, Olson, Richard K., Keenan, Janice M., and Samuelsson, Stefan
- Subjects
ANALYSIS of variance ,CHILD development ,COGNITION ,COMMUNICATIVE competence ,STATISTICAL correlation ,COMPARATIVE grammar ,LONGITUDINAL method ,NEUROPSYCHOLOGICAL tests ,MEMORY ,READING ,RESEARCH funding ,T-test (Statistics) ,TWINS ,RETROSPECTIVE studies ,DESCRIPTIVE statistics - Abstract
Fifty-six specific poor reading comprehenders (SPRC) were selected in Grade 4 and retrospectively compared to good comprehenders at preschool (age 5) and at the end of kindergarten, Grade 1, and Grade 2. The results revealed deficits in vocabulary, grammar, verbal memory and early deficits in phonological awareness in most of the SPRC sample, beginning in preschool. The reading comprehension deficits in children with SPRC were not as marked in earlier assessments in Grade 1 and 2, probably because of the greater dependence on word decoding in reading comprehension in the early grades. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
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