Purpose: To evaluate the effects of a lag schedule of positive reinforcement on variability in food consumed by a boy with autism and food selectivity.
Methods: Using single-subject experimental design methodology, an ABAB design was employed. During lag 0 (condition A), high-preferred toys were delivered contingent on consumption of any food. During lag 1 (condition B), high-preferred toys were delivered contingent on consumption of different foods within session.
Results: Higher levels of variability in within-session consumption were observed during lag 1 conditions.
Conclusions: The lag 1 schedule of reinforcement increased variability in food consumed. This finding adds to the literature by demonstrating a novel experimental arrangement that may be used in applied studies to evaluate the clinical utility of differentially reinforcing variability in the treatment of food selectivity associated with autism.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3109/17518423.2016.1146364 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluating the effect of lag schedule of reinforcement and progressive-time delay in increasing varied augmented requesting.
Augment Altern Commun
December 2024
Department of Special Education, College of Education, King Saud University, Riyadh, Saudi Arabia.
Request training can produce highly repetitive requests unless the setting is organized to encourage request diversity, particularly for individuals who depend on speech-generating devices (SGDs). Previous studies have shown that request training utilizing a lag schedule and progressive-time delay led to an increase in variability among children diagnosed with autism spectrum disorder (ASD). The impact of lag schedules on augmented requesting remains to be seen.
View Article and Find Full Text PDFAssociation of Social Jetlag with the Dietary Quality Among Korean Workers: Findings from a Nationwide Survey.
Nutrients
November 2024
Department of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Social jetlag, which refers to the misalignment between biological rhythms and social schedule, is linked to an increased risk of metabolic diseases. This cross-sectional study investigated the relationship between social jetlag and workers' dietary quality. : This secondary data analysis included a sample of workers from the Korea National Health and Nutrition Examination Survey ( = 11,430).
View Article and Find Full Text PDFCoupled intelligent prediction model for medium- to long-term runoff based on teleconnection factors selection and spatial-temporal analysis.
PLoS One
December 2024
College of Computer Science and Software Engineering, Hohai University, Nanjing, China.
Accurate medium- to long-term runoff forecasting is of great significance for flood control, drought mitigation, comprehensive water resource management, and ecological restoration. However, runoff formation is a complex process influenced by various natural and anthropogenic factors, resulting in nonlinearity, nonstationarity, and long prediction periods, which complicate forecasting efforts. Traditional statistical models, which primarily focus on individual runoff sequences, struggle to integrate multi-source data, limiting their predictive accuracy.
View Article and Find Full Text PDFAssociations among chronotype and eating habits in adolescents are affected by study shift: A cross-sectional study.
J Sleep Res
December 2024
Department of Social Nutrition - Institute of Nutrition, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
We investigated the influence of chronotype on eating habits among adolescents attending schools with morning (07:00 hours-12:00 hours) or afternoon (13:00 hours-18:00 hours) shifts, hypothesizing that incompatibility of study schedules may be related to dietary choices. In this cross-sectional study, 734 adolescents (aged 14-19 years) completed an online questionnaire covering eating habits, chronotype, sleep duration, social jet lag, socioeconomic data, physical activity and anthropometric measures. Odds ratios with 95% confidence intervals were estimated using adjusted logistic regression, stratified by study shift.
View Article and Find Full Text PDFPredicting circadian phase in community-dwelling later-life adults using actigraphy data.
J Sleep Res
December 2024
College of Nursing, University of Iowa, Iowa City, Iowa, USA.
The accurate estimation of circadian phase in the real-world has a variety of applications, including chronotherapeutic drug delivery, reduction of fatigue, and optimal jet lag or shift work scheduling. Recent work has developed and adapted algorithms to predict time-consuming and costly laboratory circadian phase measurements using mathematical models with actigraphy or other wearable data. Here, we validate and extend these results in a home-based cohort of later-life adults, ranging in age from 58 to 86 years.
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!