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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Modifiable Behavior & Dietary Predictors of Overweight in Children with ASD
Susana Patton 
Pediatric overweight has reached epidemic levels and, at 36%, children with autism spectrum disorder (ASD)have a higher rate of overweight than typically developing children. Pediatric overweight is a major health problem because it is linked to childhood onset of dyslipidemia, hypertension, high blood sugar, and Type 2 Diabetes. Also youths who grow up overweight, will as adults, face higher rates of hypertension, heart disease,atherosclerosis, colorectal cancer, arthritis, and chronic overweight. Yet, despite a pressing need for effectiveprevention and intervention efforts for overweight in children with ASD, we are significantly hampered in developing appropriate programs because we lack empirical data on potentially important dietary and behavioral factors. Children with ASD have unique impairments and behaviors that can complicate weight management, including difficulty with motor skills, cognitive difficulties, problematic mealtime behaviors and greater food refusal and selectivity than typically developing children, which make it highly unlikely that available weight management interventions for typically developing children will generalize to them. Therefore, there is a critical need for research examining factors related to overweight in children with ASD specifically.The long-term goal of our research is to identify evidence-based methods for preventing and treating overweight in children with ASD. The goal of the current project is to identify parent and child mealtime behavior and diet characteristics that are related to child weight status as a basis for future research to develop a suitable weight management program for children with ASD. The current study aims are: 1) identify child andparent mealtime behaviors associated with present and future weight in young children with ASD and 2)assess if diet variables are related to present and future child weight. This project is significant because it is expected to provide much needed information on factors related to overweight in children with ASD, which canbe used to develop and refine weight management programs for children with ASD, an understudied population for weight management. The project is innovative because of its proposed home-based ethnographic methodology and longitudinal design, which both represent a substantial departure from existing studies in children with ASD and offer the opportunity to collect data necessary for intervention development.We expect our approach will greatly expand the body of knowledge for this under-studied but vulnerable population of children and will lay the groundwork for the development and dissemination of tailored weight management programs, two research goals which are in line with priorities for the NIH Autism Interagency Coordinating Center and the Autism Treatment Networks. Given the large number of children with ASD and the high prevalence of overweight in this population, the development and dissemination of tailored weight management programs for these children.
Enrollment Completed
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NIH - Extramural None

R21HD076116-01 Modifiable Behavior & Dietary Predictors of Overweight in Children with ASD 01/01/2014 12/31/2015 126 69 UNIVERSITY OF KANSAS MEDICAL CENTER $423,694.00

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To create a new Omics, eye tracking, fMRI, or EEG experiment, press the "+ New Experiment" button. Once an experiment is created, then raw files for these types of experiments should be provided, associating the experiment – through Experiment_ID – with the metadata defined in the experiments interface.

IDNameCreated DateStatusType
No records found.

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Shared Data

Data structures with the number of subjects submitted and shared are provided.

Demographics Clinical Assessments 60
Diet Diary Form Clinical Assessments 77
Dyadic Interaction Nomenclature for Eating Clinical Assessments 77
Height and Weight Clinical Assessments 77
Research Subject Clinical Assessments 77

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Publications relevant to NDAR data are listed below. Most displayed publications have been associated with the grant within Pubmed. Use the "+ New Publication" button to add new publications. Publications relevant/not relevant to data expected are categorized. Relevant publications are then linked to the underlying data by selecting the Create Study link. Study provides the ability to define cohorts, assign subjects, define outcome measures and lists the study type, data analysis and results. Analyzed data and results are expected in this way.

PubMed IDStudyTitleJournalAuthorsDateStatus
27112958Create StudyThe Link Between Adverse Childhood Experiences and Diabetes.Current diabetes reportsHuffhines L, Noser A, Patton SRJune 2016Not Relevant
26206175Create StudyMealtime behaviors associated with consumption of unfamiliar foods by young children with autism spectrum disorder.AppetiteOdar Stough C, Dreyer Gillette ML, Roberts MC, Jorgensen TD, Patton SRDecember 2015Not Determined

Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
No records found.
Data Expected
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Childhood Autism Rating Scale (CARS) info iconApproved
Demographics info iconApproved
Physical Exam info iconApproved
Research Subject and Pedigree info iconApproved
Nutrition Data System for Research (NDSR) info iconApproved
Dyadic Interaction Nomenclature for Eating (DINE) info iconApproved
Diet/Food Diary/Log info iconApproved
Dyadic Interaction Nomenclature for Eating info iconApproved
Structure not yet defined

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Associated Studies

Studies that have been defined using data from a Collection are important criteria to determine the value of data shared. The number of subjects column displays the counts from this Collection that are included in a Study, out of the total number of subjects in that study. The Data Use column represents whether or not the study is a primary analysis of the data or a secondary analysis. State indicates whether the study is private or shared with the research community.