In Brief: Positive reinforcement helps children avoid junk food

2004 ◽  
Author(s):  
M. Greer
Keyword(s):  
Positive Reinforcement ◽  
Junk Food

Self-Injurious Behavior vs. Nonsuicidal Self-Injury

Crisis ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 106-112 ◽  
Author(s):  
Christopher M. Bloom ◽  
Shareen Holly ◽  
Adam M. P. Miller
Keyword(s):  
Positive Reinforcement ◽  
Empirical Investigation ◽  
High Stress ◽  
Animal Research ◽  
Stress Conditions ◽  
Human Populations ◽  
Pharmacological Interventions ◽  
Self Injury ◽  
Cns Stimulant ◽  
Nonsuicidal Self Injury

Background: Historically, the field of self-injury has distinguished between the behaviors exhibited among individuals with a developmental disability (self-injurious behaviors; SIB) and those present within a normative population (nonsuicidal self-injury; NSSI),which typically result as a response to perceived stress. More recently, however, conclusions about NSSI have been drawn from lines of animal research aimed at examining the neurobiological mechanisms of SIB. Despite some functional similarity between SIB and NSSI, no empirical investigation has provided precedent for the application of SIB-targeted animal research as justification for pharmacological interventions in populations demonstrating NSSI. Aims: The present study examined this question directly, by simulating an animal model of SIB in rodents injected with pemoline and systematically manipulating stress conditions in order to monitor rates of self-injury. Methods: Sham controls and experimental animals injected with pemoline (200 mg/kg) were assigned to either a low stress (discriminated positive reinforcement) or high stress (discriminated avoidance) group and compared on the dependent measures of self-inflicted injury prevalence and severity. Results: The manipulation of stress conditions did not impact the rate of self-injury demonstrated by the rats. The results do not support a model of stress-induced SIB in rodents. Conclusions: Current findings provide evidence for caution in the development of pharmacotherapies of NSSI in human populations based on CNS stimulant models. Theoretical implications are discussed with respect to antecedent factors such as preinjury arousal level and environmental stress.

Experience with Junk Food: Effects on Diet Selection

2010 ◽  
Author(s):  
Josephine F. Wilson ◽  
Rachel L. Radel
Keyword(s):  
Diet Selection ◽  
Junk Food ◽  
Food Effects

EFFECTS OF PUNISHMENT AS POSITIVE REINFORCEMENT FOR THE PUNISHER

1967 ◽  
Vol 24 (3) ◽  
pp. 887-898 ◽  
Author(s):  
CARL I. THOMPSON ◽  
PAUL A. GAMES ◽  
PAUL B. KOONS
Keyword(s):  
Positive Reinforcement

The Development of an Online Tobacco Tracker Tool to Crowdsource Campus Environmental Reports for Smoke and Tobacco Free College Policies: A Mixed Methods Study (Preprint)

2020 ◽  
Author(s):  
Sabrina F. Loureiro ◽  
Kim M. Pulvers ◽  
Melissa M. Gosdin ◽  
Keavagh R. Clift ◽  
Myra J. Rice ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Focus Groups ◽  
Positive Reinforcement ◽  
The United States ◽  
College Campuses ◽  
Policy Enforcement ◽  
Sequential Mixed Methods ◽  
Effective Policy ◽  
Online Tracking ◽  
One Year

BACKGROUND College campuses in the United States have begun implementing Smoke and Tobacco-Free policies to discourage the use of tobacco. Smoke and Tobacco-Free policies, however, are contingent upon effective policy enforcement. OBJECTIVE To develop an empirically-derived online tracking tool (Tracker) for crowdsourcing campus environmental reports of tobacco use and waste to support smoke and tobacco-free college policies. METHODS An exploratory sequential mixed methods approach was utilized to inform the development and evaluation of the Tracker. In October 2018, three focus groups across two California universities were conducted and themes were analyzed, guiding Tracker development. After one year of implementation, users were asked in April 2020 to complete a survey about their experience. RESULTS In the focus groups, two major themes emerged: barriers and facilitators to tool utilization. Further Tracker development was guided by focus group input to address these barriers (e.g. information, policing, and logistical concerns) and facilitators (e.g. environmental motivators, positive reinforcement). Amongst 1,163 Tracker reports, those who completed the user survey (n=316) reported the top motivations to using the tool were having a cleaner environment (79%) and health concerns (69%). CONCLUSIONS Environmental concerns, a motivator which emerged in focus groups, shaped the Tracker’s development and was cited by the majority of users surveyed as a top motivator for utilization.

Clinical Evaluation of the Variables associated with Treatment Acceptability and Their Relation to Compliance

1992 ◽  
Vol 18 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Thomas M. Reimers ◽  
David P. Wacker ◽  
Linda J. Cooper ◽  
Agnes O. Deraad
Keyword(s):  
Behavior Problem ◽  
Behavior Management ◽  
Positive Reinforcement ◽  
Treatment Acceptability ◽  
Clinic Visit ◽  
Future Research ◽  
Parental Ratings ◽  
Problem Severity ◽  
The Relationship

The authors examined the acceptability ratings of positive reinforcement procedures recommended to parents seen in a pediatric behavior management outpatient clinic. Parental ratings of acceptability were obtained in the clinic and 1, 3, and 6 months following their initial clinic visit. Acceptability variables were examined by group (parents who rated the acceptability of treatments as high vs. low) and by severity (parents who rated their children's behavior problem as severe vs. mild). The relationship between these variables and reported compliance was also examined. Results show that the acceptability variables were useful in differentiating between parents who rated treatments to be more acceptable and parents who rated treatments to be less acceptable. Differences were also observed as a function of behavior problem severity. Significant correlations occurred between acceptability variables and compliance at each of the follow-up points. Results are discussed in relation to the clinical significance of these findings and the impetus they might serve for future research.

Junk Food Ads Reach Children Despite Food Industry Self-regulation

JAMA ◽  
2017 ◽  
Vol 317 (23) ◽  
pp. 2359 ◽  
Author(s):  
Jennifer Abbasi
Keyword(s):  
Food Industry ◽  
Self Regulation ◽  
Junk Food

Sport-Related and Psychosocial Factors Associated With Motives and Consequences Of Alcohol and Cannabis Use Among NCAA Athletes: A Systematic Review

2021 ◽  
Author(s):  
Callon M Williams ◽  
Michael T Shaw ◽  
Nadine R Mastroleo ◽  
Emily L Zale
Keyword(s):  
Sensation Seeking ◽  
Positive Reinforcement ◽  
National Collegiate Athletic Association ◽  
Cannabis Use ◽  
Drinking Motives ◽  
Future Research ◽  
Reference List ◽  
Psychosocial Correlates ◽  
Ncaa Athletes ◽  
Meta Analyses

Abstract Aims To review differences in alcohol- and cannabis-related motives and consequences among National Collegiate Athletic Association (NCAA) athletes as a function of athlete characteristics (e.g. gender and competition season status). Methods Procedures followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, PsycINFO and manual reference list review were used to identify studies that reported alcohol- or cannabis-related motives and consequences among NCAA athletes as a function of gender, race, season status, division level or sport-type through December 2019. Relevant findings and any reported psychosocial correlates were extracted by two independent reviewers. Results The majority of studies (K = 15) focused on alcohol-related motives or consequences, with one examining cannabis-related motives, and no studies examined cannabis-related consequences. Social drinking motives were strongest among men and White NCAA athletes, and athlete-specific motives were most salient for men and in-season athletes. Cannabis use motives for positive reinforcement (e.g. enhancement) and coping were also strongest during the in-season. Negative alcohol-related consequences were greatest among men, athletes of color and out-of-season athletes, although women and in-season athletes experienced more consequences in athletic performance. Our exploratory aim revealed two studies that examined psychosocial correlates, and the results indicate that sensation-seeking, stress and negative affect were associated with more alcohol-related consequences. Conclusion NCAA athletes are a heterogenous population, and their motives and consequences of use appear to vary across multiple athlete factors (e.g., gender). This review highlights the gaps in the literature and suggests future research directions to identify the risk and protective factors for substance use among NCAA athletes.

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