Evidence map›Paper›PMID 40011362›Full record

ArticleInternational journal of behavioral medicine2025

Mediating Role of Delay Discounting in the Link Between Depressive Symptoms and Diabetes Onset: Findings from a Prospective Survey of a Community Sample.

Ken Kurisu, Briana N DeAngelis, Kazuhiro Yoshiuchi, Mustafa al'Absi

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Article in International journal of behavioral medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ken KurisuDepartment of Stress Sciences and Psychosomatic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-1831-8987
Briana N DeAngelisFamily Medicine and Biobehavioral Health, University of Minnesota Medical School, Duluth, MN, 55812, USA.ORCID http://orcid.org/0000-0001-6001-8497
Kazuhiro YoshiuchiDepartment of Stress Sciences and Psychosomatic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-8164-4910
Mustafa al'AbsiFamily Medicine and Biobehavioral Health, University of Minnesota Medical School, Duluth, MN, 55812, USA. malabsi@umn.edu.ORCID http://orcid.org/0000-0003-4531-038X

Funding

Stress, Appetite, and Smoking RelapseR01DA027232 · NIDA · UNIVERSITY OF MINNESOTA · PI AL'ABSI, MUSTAFA, LEE, DUSTIN CLARK · 2010 to 2025
$4.6M
Stress Response and Opioid Dysfunction in Nicotine DependenceR01DA016351 · NIDA · UNIVERSITY OF MINNESOTA DULUTH · PI AL'ABSI, MUSTAFA · 2003 to 2023
$4.5M
Foundation for the National Institutes of Health R01DA016351Foundation for the National Institutes of Health R01DA027232NIDA NIH HHS R01 DA016351NIDA NIH HHS R01 DA027232
6 · The paper itself

Abstract

backgroundThe positive relationship between higher delay discounting, an indicator of increased impulsivity, and reduced engagement in diabetes care has been investigated. However, the association between delay discounting and diabetes onset, likely linked through unhealthy behaviors, has not been well investigated. Additionally, although depression has been linked to an increased risk of diabetes and greater delay discounting, studies examining associations among all three factors are scarce. The present study aimed to determine the association between depressive symptoms and the onset of diabetes, with delay discounting as a mediator of this relationship.

methodsUsing data from a three-phase online prospective survey of a community sample, cross-sectional and longitudinal mediation analyses were conducted to examine diabetes prevalence from Phase 1 and incidence from Phases 2 and 3 as the outcomes, with depressive symptoms at Phase 1 as the independent variable and delay discounting at Phase 1 as the mediator.

resultsDelay discounting was positively associated both with diabetes prevalence (coefficient = 0.170; 95% confidence interval [CI] = 0.066 to 0.278; P = 0.002) and incidence (coefficient = 0.306; 95% CI = 0.098 to 0.540; P = 0.006). Furthermore, through delay discounting, depressive symptoms were indirectly associated with diabetes prevalence (indirect coefficient = 0.091; 95% bootstrap CI = 0.034 to 0.149) and incidence (indirect coefficient = 0.138; 95% bootstrap CI = 0.037 to 0.256), respectively.

conclusionsDelay discounting may increase the risk of diabetes onset by mediating the positive association between depressive symptoms and diabetes onset.

Indexed as

Delay DiscountingDepressionDiabetes MellitusAdultAgedCross-Sectional StudiesFemaleHumansImpulsive BehaviorIncidenceLongitudinal StudiesMaleMediation AnalysisMiddle AgedPrevalenceProspective StudiesCommunity sampleDelay discountingDepressionDiabetesMediation analysis

Identifiers

PMID40011362
PMCPMC13326737

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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 Socratic graph.