Evidence map›Paper›PMID 41710509›Full record

ArticleHealth affairs scholar2026

The Earned Income Tax Credit and short-term changes in financial strain and drug use.

Sarah Gutkind, Melanie M Wall, Katherine M Keyes, Silvia S Martins, Deborah S Hasin

Abstract read
In one paragraph

Article in Health affairs scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Sarah GutkindDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, United States.ORCID https://orcid.org/0000-0002-9489-7597
Melanie M WallDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY 10032, United States.
Katherine M KeyesDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, United States.
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, United States.ORCID https://orcid.org/0000-0003-3059-9993
Deborah S HasinDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Financial strain is common in the United States and associated with substance use. We examined whether eligibility for the federal Earned Income Tax Credit (EITC), the largest US anti-poverty program, affected financial strain and drug use. Methods: Using a difference-in-difference design with data from the Population Assessment on Tobacco and Health Wave 1 Adult Survey, a nationally representative survey of US adults, we estimated short-term EITC-associated changes in past-month financial strain, cannabis use, and central nervous system (CNS) depressant use for EITC-eligible people during the EITC disbursement period. Interview timing during/outside the disbursement period was independent of individual characteristics. Results: Approximately 15.4% of adults were EITC-eligible with refunds ≥$500. Unadjusted prevalences of financial strain among EITC-eligible persons were 35.2% outside and 32.2% during the disbursement period. Refunds were associated with significantly lower financial strain ( Conclusion: Findings support generous EITC refunds, with no evidence that financially supporting low-income people increased drug use.

Indexed as

cannabisCNS depressantsearned income tax creditfinancial strain

Identifiers

PMID41710509
PMCPMC12911932

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.