Food selectivity is a common problem for children with autism spectrum disorder (ASD; Schreck, Williams, & Smith, 2004). Behavior-analytic interventions have the most empirical support for feeding disorders (Sharp, Jaquess, Morton, & Miles, 2011). However, there are no randomized controlled trials that have evaluated its effects with a well-defined cohort of children with ASD. In the current investigation, we randomly assigned 6 young children with ASD and food selectivity to either an applied behavior analytic intervention or a wait-list control. We used a crossover randomized controlled trial to evaluate the effects of a multicomponent applied behavior analytic intervention on independent acceptance and mouth clean of 16 novel foods. We subsequently exposed the wait-list control group to the intervention. We also evaluated the effects of the intervention on individual participants with single-case designs. The percentage of independent acceptance and mouth clean increased for the applied behavior analytic intervention group, but not for the wait-list control group until we implemented the intervention.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/jaba.650 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Genomic sequencing in diverse and underserved pediatric populations: parent perspectives on understanding, uncertainty, psychosocial impact, and personal utility of results.
Genet Med
January 2025
Genomics Ethics, and Translational Research Program, RTI International, Research Triangle Park, NC; Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR. Electronic address:
Purpose: Limited evidence evaluates parents' perceptions of their child's clinical genomic sequencing (GS) results, particularly among individuals from medically underserved groups. Five Clinical Sequencing Evidence-Generating Research (CSER) consortium studies performed GS in children with suspected genetic conditions with high proportions of individuals from underserved groups to address this evidence gap.
Methods: Parents completed surveys of perceived understanding, personal utility, and test-related distress after GS result disclosure.
Development of the house fly, Musca domestica L. (Diptera: Muscidae), on pork tissue at two temperatures.
J Forensic Sci
January 2025
Department of Entomology, Texas A&M University, College Station, Texas, USA.
The house fly, Musca domestica, L. (Diptera: Muscidae), is a filth fly that is often associated with criminal and civil investigations surrounding abuse, neglect, and death of humans and other vertebrates. However, development data, which are crucial for determining the age of immatures collected under forensically relevant circumstances, are limited.
View Article and Find Full Text PDFDietary patterns related to triglyceride glucose index and risk of type 2 diabetes: a large-scale cohort study.
Front Nutr
January 2025
Department of Nutrition and Food Hygiene, School of Public Health, Nantong University, Nantong, China.
Background: Triglyceride glucose (TyG) index has been proposed as a credible and simple surrogate indicator for insulin resistance. The primary aim of this study was to novelly examine the associations between dietary patterns reflecting variations in circulating TyG index and the risk of type 2 diabetes mellitus (T2DM).
Methods: This study included 120,988 participants from the UK Biobank, all of whom completed multiple 24-h dietary assessments.
Which type of feedback-Positive or negative- reinforces decision recall? An EEG study.
Front Syst Neurosci
January 2025
International research center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, Milan, Italy.
This study examines the impact of positive and negative feedback on recall of past decisions, focusing on behavioral performance and electrophysiological (EEG) responses. Participants completed a decision-making task involving 10 real-life scenarios, each followed by immediate positive or negative feedback. In a recall phase, participants' accuracy (ACC), errors (ERRs), and response times (RTs) were recorded alongside EEG data to analyze brain activity patterns related to recall.
View Article and Find Full Text PDFInterpreting Lung Cancer Health Disparity between African American Males and European American Males.
Proceedings (IEEE Int Conf Bioinformatics Biomed)
December 2024
Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, USA.
Lung cancer remains a predominant cause of cancer-related deaths, with notable disparities in incidence and outcomes across racial and gender groups. This study addresses these disparities by developing a computational framework leveraging explainable artificial intelligence (XAI) to identify both patient- and cohort-specific biomarker genes in lung cancer. Specifically, we focus on two lung cancer subtypes, Lung Adenocarcinoma (LUAD) and Lung Squamous Cell Carcinoma (LUSC), examining distinct racial and sex-specific cohorts: African American males (AAMs) and European American males (EAMs).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!