Evidence map›Paper›PMID 42291421›Full record

SynthesisPeerJ2026

Exploring the relationship between delay discounting and physical activity: a meta-analysis of continuous associations.

Fang Tan, Zhiming Jiao, Kangyuan Guo, Hang Fu

Abstract readMeta-Analysis
In one paragraph

Synthesis in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Fang Tan *School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Zhiming Jiao *School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Kangyuan GuoSchool of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Hang FuThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Delay discounting is the reduction in perceived value of rewards over time, a concept studied in psychology and economics to understand decision-making and health behaviors. Its impact on physical activity is gaining interest, but has not been systematically quantified. This meta-analysis aimed to clarify the strength and direction of the continuous association between delay discounting and physical activity. Methods: Studies incorporating monetary delay discounting and physical activity were identified through PubMed, Web of Science, Embase, and PsycINFO. Random effects meta-analysis was conducted using Pearson's r as the effect size. Publication bias was assessed using fail-safe N, Begg-Mazumdar, and Egger's tests, as well as meta-regression and imputation of missing studies. Results: Twelve effect sizes from 10 studies were included. The primary analysis found a small but significant negative correlation ( Conclusions: This meta-analysis finds a small negative correlation between delay discounting and physical activity, suggesting that individuals who value the future slightly engage more in physical activity. Further research should explore how delay discounting can be incorporated into exercise interventions, especially for individuals with atypical time preferences, to improve physical activity and health outcomes.

Indexed as

Delay DiscountingExerciseHealth BehaviorHumansRewardDelay discountingExerciseHealth behaviorPhysical activity

Identifiers

PMID42291421
PMCPMC13264275

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.