Evidence map›Paper›PMID 36072385›Full record

ArticleFrontiers in public health2022

Delay discounting of money and health outcomes, and adherence to policy guidelines during the COVID-19 pandemic.

Jakub M Krawiec, Szymon Mizak, Marco Tagliabue, Wojciech Białaszek

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Jakub M KrawiecInstitute of Psychology, Decision Lab: Center for Behavioral Research in Decision Making, SWPS University of Social Sciences and Humanities, Warsaw, Poland.
Szymon MizakInstitute of Psychology, Decision Lab: Center for Behavioral Research in Decision Making, SWPS University of Social Sciences and Humanities, Warsaw, Poland.
Marco TagliabueDepartment of Behavioural Sciences, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Wojciech BiałaszekInstitute of Psychology, Decision Lab: Center for Behavioral Research in Decision Making, SWPS University of Social Sciences and Humanities, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delay discounting refers to the observation that the subjective value of an outcome decreases as the delay to its receipt increases. It is well-established that steep delay discounting is related to various maladaptive behaviors, including poorer health-related choices. One of the current challenges of public health policies that emerged during the COVID-19 pandemic is to encourage preventive behaviors against infectious diseases. In this study, we aimed to explore possible underpinnings of adherence to COVID-19 related public health policy guidelines such as disinfection, distancing, and masks (DDM). Participants completed monetary and health discounting tasks across two outcome amounts in gain and loss conditions, and they provided self-report measures of adherence to the DDM policy. Contrary to the theoretically plausible prediction that higher discounting rates would be negatively associated with adherence to health-related public policy guidelines, we found no compelling evidence to support such statement. We discuss the potential weaknesses of declarative measurements of attitudes toward COVID-19 and consider using behavioral interventions for influencing discounting rates for complementing and enhancing current policy guidelines.

Indexed as

COVID-19Delay DiscountingHumansOutcome Assessment, Health CarePandemicsPublic PolicyRewardadherenceCOVID-19delay discountingpolicypreventive behaviors

Identifiers

PMID36072385
PMCPMC9441622

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.