ArticlePreventive medicine2016
Some current dimensions of the behavioral economics of health-related behavior change.
Article in Preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Influence of Behavioral Sciences on Adherence to Physical Activity and Weight Loss in Overweight and Obese Patients: A Systematic Review of Randomized Controlled Trials.International journal of environmental research and public health · 2024Pooled it
- Relationship between monetary delay discounting and obesity: a systematic review and meta-regression.International journal of obesity (2005) · 2019Pooled it
- Trial
- Leveraging the cigarette purchase task to understand relationships between cumulative vulnerabilities, the relative reinforcing effects of smoking, and response to reduced nicotine content cigarettes.Preventive medicine · 2022Trial
- Commitment Lotteries Promote Physical Activity Among Overweight Adults-A Cluster Randomized Trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2018Trial
- Household Adversity, Day to Day Experiences, and Birth/Pregnancy Complications are Associated with Delay Discounting: Findings from the Adolescent Brain Cognitive Development Study.Research on child and adolescent psychopathology · 2026Article
- How time and risk preferences affect glucose control in type 2 diabetes patients.Scientific reports · 2025Article
- Financial Incentives, Income Supplementation, Cash Transfer, and Universal Basic Income Interventions in Diabetes: Understanding Differences and Effectiveness: A Scoping Review.Diabetes care · 2025Article
- Applying a behavioral economic approach to understanding smoking processes: The indirect effect of past quit experiences.Drug and alcohol dependence · 2024Article
- A mobile health intervention for emerging adults with regular cannabis use: A micro-randomized pilot trial design protocol.Contemporary clinical trials · 2024Article
- Can delay discounting predict vaccine hesitancy 4-years later? A study among US young adults.Preventive medicine reports · 2023Article
- Article
- A behavioral economic demand analysis of mothers' decision to exclusively breastfeed in the workplace.Journal of the experimental analysis of behavior · 2022Article
- The phenotype of recovery VII: Delay discounting mediates the relationship between time in recovery and recovery progress.Journal of substance abuse treatment · 2022Article
- I'm wearing a mask, but are they?: Perceptions of self-other differences in COVID-19 health behaviors.PloS one · 2022Article
- Systematic review of health policy and behavioral economics: A neglected point in health promotion.Journal of education and health promotion · 2022Review
- Associations between compliance with covid-19 public health recommendations and perceived contagion in others: a self-report study in Swedish university students.BMC research notes · 2021Article
- Applying Mixed-Effects Modeling to Behavioral Economic Demand: An Introduction.Perspectives on behavior science · 2021Article
- Applying Behavioral Economics to Improve Adolescent and Young Adult Health: A Developmentally-Sensitive Approach.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2021Review
- A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial.JMIR research protocols · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Health-related behaviors such as tobacco, alcohol and other substance use, poor diet and physical inactivity, and risky sexual practices are important targets for research and intervention. Health-related behaviors are especially pertinent targets in the United States, which lags behind most other developed nations on common markers of population health. In this essay we examine the application of behavioral economics, a scientific discipline that represents the intersection of economics and psychology, to the study and promotion of health-related behavior change. More specifically, we review what we consider to be some core dimensions of this discipline when applied to the study health-related behavior change. Behavioral economics (1) provides novel conceptual systems to inform scientific understanding of health behaviors, (2) translates scientific understanding into practical and effective behavior-change interventions, (3) leverages varied aspects of behavior change beyond increases or decreases in frequency, (4) recognizes and exploits trans-disease processes and interventions, and (5) leverages technology in efforts to maximize efficacy, cost effectiveness, and reach. These dimensions are overviewed and their implications for the future of the field discussed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.