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Featured researches published by Terry Katz.


Pediatrics | 2012

The relationship between sleep problems and daytime behavior in children of different ages with autism spectrum disorders.

Darryn M. Sikora; Kyle P. Johnson; Traci Clemons; Terry Katz

BACKGROUND The purpose of the current study was to evaluate the relationships among sleep problems and daytime behaviors in a large, well-defined cohort of children with autism spectrum disorder (ASD). METHODS Out of a registry population of 3452 children with ASDs, a subset of 1193 children aged 4 to 10 years of age from 14 centers across the country was used to evaluate the relationship between varying levels of sleep problems and daytime behavior. Measures included Children’s Sleep Habits Questionnaire, Vineland Adaptive Behavior Scales, Survey Interview Form, Second Edition, and Child Behavior Checklist. Multiple analysis of covariance was used to assess the association between sleep and behavior. RESULTS Results suggest that sleep problems, as identified by parent report by use of the Children’s Sleep Habits Questionnaire, have a negative relationship with daytime behavior. More specifically, children with ASDs and sleep problems had more internalizing and externalizing behavior problems, as measured by the Child Behavior Checklist, and poorer adaptive skill development, as measured by the Vineland Adaptive Behavior Scales, than children with ASDs and no sleep problems. Children with moderate to severe sleep problems had greater behavior difficulties, but not necessarily poorer adaptive functioning, than children with mild to moderate sleep problems. Both preschool- and school-aged children demonstrated a negative relationship between behavior and sleep, whereas the relationship between sleep and adaptive functioning was much more variable. CONCLUSIONS These results suggest that, although sleep has a negative relationship with internalizing and externalizing behavior, it may have a different relationship with the acquisition of adaptive skills.


Pediatrics | 2016

Sleep Difficulties and Medications in Children With Autism Spectrum Disorders: A Registry Study

Beth A. Malow; Terry Katz; Ann Reynolds; Amy Shui; Margaret Carno; Heidi V. Connolly; Daniel L. Coury; Amanda E. Bennett

OBJECTIVES: Sleep difficulties are common in children with autism spectrum disorders, with wide-ranging effects on the child’s daytime behavior. We reviewed data within our Autism Speaks Autism Treatment Network Registry to determine the prevalence of sleep difficulties and patterns of medication use. METHODS: Data from 1518 children ages 4 to 10 years were analyzed to determine the number of children documented to have sleep difficulties by parent-completed questionnaires and clinician-completed forms and how these findings related to the use of sleep medications. RESULTS: The Children’s Sleep Habits Questionnaire total score was ≥41 (associated with clinically significant sleep problems in past research) in 71% of children. The prevalence of sleep diagnoses was less frequent (30% of children aged 4–10 years; P < .0001). Medications for sleep were prescribed in 46% of 4- to 10-year-olds given a sleep diagnosis. The most common medication used for sleep was melatonin followed by α-agonists, with a variety of other medications taken for sleep (anticonvulsants, antidepressants, atypical antipsychotics, and benzodiazepines). Children taking medications for sleep had worse daytime behavior and pediatric quality of life than children not taking sleep medications. CONCLUSIONS: Parent concerns about sleep may not be reflected in the information gathered during a clinic visit, supporting the need to develop screening practice pathways for sleep in autism spectrum disorders. Furthermore, many medications taken for sleep have adverse effects, supporting the need for evidence-based interventions in this population.


Behavioral Sleep Medicine | 2016

Sleep in Children With Autism Spectrum Disorders: How Are Measures of Parent Report and Actigraphy Related and Affected by Sleep Education?

Olivia J. Veatch; Ann Reynolds; Terry Katz; Shelly K. Weiss; Alvin Loh; Lily Wang; Beth A. Malow

Sleep disturbance is common in children with autism, resulting in a great need for effective treatments. To evaluate treatments for sleep disturbance in this population, it is critical to understand the relationship between measures of sleep captured by parent report and objective measures. The Children’s Sleep Habits Questionnaire (CSHQ) and actigraphy-measured data from 80 children with autism and sleep-onset delay were evaluated. Reported problems with sleep-onset delay were concurrent with sleep duration problems in 66% of children, night wakings in 72% of children, and bedtime resistance in 66% of children; 38% of children were reported to have problems with all CSHQ insomnia domains. Actigraphy-measured sleep duration was correlated with estimates using CSHQ-reported bed and wake times.


Archive | 2016

Assessing Sleep Problems in Children with Autism Spectrum Disorder

Terry Katz; Beth A. Malow; Ann Reynolds

Sleep disturbances are a well-established problem in autism. Sleep issues can result in problems at home in the evening. Also, poor sleep can result in fatigue and irritability during the daytime, resulting in other potential problems. How sleep disorders are assessed and the best empirical methods to do so are the subject of this chapter.


Journal of Developmental and Behavioral Pediatrics | 2016

The pediatric sleep clinical global impressions scale - A new tool to measure pediatric insomnia in autism spectrum disorders

Beth A. Malow; Heidi V. Connolly; Shelly K. Weiss; Ann C. Halbower; Suzanne E. Goldman; Susan L. Hyman; Terry Katz; Niru Madduri; Amy Shui; Eric A. Macklin; Ann Reynolds

Objective: To pilot a clinician-based outcome measure that provides complementary information to objective measures and parent-based questionnaires for insomnia in children with autism spectrum disorders (ASD). Method: The authors developed a Pediatric Sleep Clinical Global Impressions Scale (CGI). Questions included (1) the childs ability to fall asleep and remain sleeping independently (i.e., apart from parents); (2) bedtime resistance; (3) sleep onset delay; (4) night awakening; (5) parental satisfaction with their childs current sleep patterns; (6) family functioning as affected by their childs current sleep patterns; and (7) clinicians overall concern with the childs sleep. After refining the instrument through the evaluation of vignettes by ASD and sleep experts, the authors piloted the Pediatric Sleep CGI in a 12-week randomized trial of iron supplementation in children with ASD. Clinicians completed Pediatric Sleep CGIs and structured sleep histories, parents completed the Childrens Sleep Habits Questionnaire (CSHQ), and children wore actigraphy watches. Results: In repeated measures models, the Pediatric Sleep CGI and CSHQ were correlated for sleep onset delay (r = .66, p < .001), night wakings (r = .40, p < .001), and total score (r = .29, p < .001). The CGI-S sleep onset delay and actigraphy sleep onset delay scores (r = .75, p = .0095) were also correlated. The overall CGI-S showed improvement with therapy (p = .047). Conclusion: The Pediatric Sleep CGI shows promise in measuring clinician-rated outcomes in pediatric insomnia in children with ASD. Larger samples will be necessary to examine reliability, validity, and measure to change, as well as applicability to other populations with pediatric insomnia.


Research in Developmental Disabilities | 2018

Predicting sleep problems in children with autism spectrum disorders

Amy Shui; Terry Katz; Beth A. Malow; Micah O. Mazurek

BACKGROUND Sleep difficulties in children with autism spectrum disorders (ASD) have been well-established. AIMS To develop a model to predict sleep problems in children with ASD. METHODS AND PROCEDURES A sample of children in the Autism Speaks-Autism Treatment Network (ATN) registry without parent-reported sleep problems at baseline and with sleep problem (yes/no) data at first annual followup was randomly split into training (n = 527) and test (n = 518) samples. Model predictors were selected using the training sample, and a threshold for classifying children at risk was determined. Comparison of the predicted and true sleep problem status of the test sample yielded model performance measures. OUTCOMES AND RESULTS In a multivariable model aggressive behavior among children with no sleep problems reported at baseline was associated with having more sleep problems at the first annual follow-up visit. This model performed in the test sample with high sensitivity and accurate prediction of low risk. CONCLUSIONS AND IMPLICATIONS Among children with ASD aggressive behavior independently predicts sleep problems. The models high sensitivity for identifying children at risk and its accurate prediction of low risk can help with treatment and prevention of sleep problems. Further data collection may provide better prediction through methods requiring larger samples.


Pediatrics | 2018

Family-Driven Goals to Improve Care for Children With Autism Spectrum Disorder

Katherine R. Bellesheim; Lynn Cole; Daniel L. Coury; Larry Yin; Susan E. Levy; Meghan A. Guinnee; Kirsten Klatka; Beth A. Malow; Terry Katz; Jane Taylor; Kristin Sohl

Results from a QI collaborative indicated that family-driven goal setting enhances outcomes in the standardization of management of constipation and insomnia in children with ASD. OBJECTIVES: Constipation and insomnia are not consistently identified and treated in children with autism spectrum disorder (ASD) despite their high prevalence and deleterious impact in this population. To standardize care, a constipation practice pathway and an insomnia practice pathway were previously developed by Autism Treatment Network clinicians. Our objective was to implement and refine these practice pathways in clinical settings. METHODS: Eleven Autism Treatment Network sites participated in a Learning Collaborative (ie, multidisciplinary quality improvement team) and chose to implement either the constipation or insomnia practice pathway in the clinical setting. Families set intervention goals (eg, increase stool frequency, decrease nighttime awakenings) before treatment. Each site began implementation with 1 patient and then increased implementation by factors of 5. Before each increase, the Learning Collaborative evaluated progress and refined the practice pathways. Process improvement was measured primarily by duration until goal attainment and by percentage of families who meet their goals. RESULTS: Across sites, 82 children with ASD and constipation and 101 children with ASD and insomnia were managed. Difficulties with intervention adherence and communication between providers and families were reported and were subsequently improved with parallel refinements to both practice pathways. The most notable modification was incorporating a goal-setting session in which families generated their own intervention goals (ie, family-driven goals). In this quality improvement initiative, 75% of families met at least 1 constipation or insomnia goal, with the median time to improvement being 6 weeks. CONCLUSIONS: By integrating a family-centered approach into the standardization of care, constipation and insomnia practice pathways may improve engagement, adherence, and management of medical conditions in children with ASD.


Journal of Autism and Developmental Disorders | 2014

Parent-Based Sleep Education for Children with Autism Spectrum Disorders

Beth A. Malow; Karen W. Adkins; Ann Reynolds; Shelly K. Weiss; Alvin Loh; Diane Fawkes; Terry Katz; Suzanne E. Goldman; Niru Madduri; Rachel Hundley; Traci Clemons


Journal of Autism and Developmental Disorders | 2014

The Autism Impact Measure (AIM): Initial Development of a New Tool for Treatment Outcome Measurement

Stephen M. Kanne; Micah O. Mazurek; Darryn M. Sikora; Jayne Bellando; Lee Branum-Martin; Benjamin L. Handen; Terry Katz; Brian Freedman; Mary Paige Powell; Zachary Warren


Journal of Child Psychology and Psychiatry | 2016

Understanding definitions of minimally verbal across instruments: evidence for subgroups within minimally verbal children and adolescents with autism spectrum disorder

Vanessa Hus Bal; Terry Katz; Somer L. Bishop; Kate Krasileva

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Beth A. Malow

Vanderbilt University Medical Center

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Ann Reynolds

University of Colorado Denver

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Daniel L. Coury

Nationwide Children's Hospital

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