ArticleAppetite2019
Non-food rewards and highly processed food intake in everyday life.
Article in Appetite, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Daily social resources as a buffer against stress eating and its consequences.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2025Article
- Sources of Environmental Reinforcement and Engagement in Health Risk Behaviors Among a General Population Sample of US Adults.International journal of environmental research and public health · 2024Article
- Experience Sampling as a dietary assessment method: a scoping review towards implementation.The international journal of behavioral nutrition and physical activity · 2024Article
- The Use of Mobile-Based Ecological Momentary Assessment (mEMA) Methodology to Assess Dietary Intake, Food Consumption Behaviours and Context in Young People: A Systematic Review.Healthcare (Basel, Switzerland) · 2022Review
- Article
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
Reducing intake of highly processed, energy-dense food may prevent chronic disease. One proposed intervention strategy for reducing intake of these foods is to increase non-food reward experiences (e.g., music, socializing, art) in their place. However, research supporting this strategy has yet to establish temporal order between non-food reward experiences and highly processed food intake, and has yet to test mediators. The current study sought to build upon this literature with an ambulatory electronic diary study wherein the time-specific associations between non-food reward experiences and highly processed food intake were observed. A sample of 84 young adults reported on multiple types of non-food reward experiences and highly processed food intake hourly for two weekdays and two weekend days through an application on their personal electronic devices. Time-lagged analysis was employed to predict the odds of highly processed food intake in the following hour from non-food rewards experienced in the current hour. Secondary (e.g., receiving positive social feedback) and hedonic (e.g., viewing pleasant images) non-food reward experiences in the current hour predicted greater instead of lower odds of highly processed food intake in the following hour. These associations were mediated by increased subjective pleasure. Purely eudaimonic (e.g., affirming values), social (e.g., cooperating with others), and primary (e.g., having sex) reward experiences generally did not predict odds of highly processed food intake in the following hour. These results suggest that-at least for young adults-many non-food reward experiences may fail to reduce highly processed food intake, and some may even backfire. A different intervention strategy targeting reward processes implicated in highly processed food intake (e.g., interfering with conditioned learned associations) may prove a more promising avenue for improving physical health.
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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.