Evidence map›Paper›PMID 39914646›Full record

ArticleAmerican journal of preventive medicine2025

Safety Net Program Participation Patterns, Sociodemographic Factors, and Health.

Marisa M Tsai, Lia C H Fernald, Rita Hamad, Kaitlyn E Jackson, Nicole Fernández-Viña, Patrick T Bradshaw, Wendi Gosliner

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2025. 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

7 authors.

Marisa M TsaiDivision of Agriculture and Natural Resources, Nutrition Policy Institute, University of California, Oakland, California, USA; Division of Epidemiology, School of Public Health, University of California Berkeley, Berkeley, California, USA. Electronic address: Marisa.tsai@berkeley.edu.
Lia C H FernaldDivision of Community Health Sciences, School of Public Health, University of California Berkeley, Berkeley, California, USA.
Rita HamadDepartment of Social & Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, USA.
Kaitlyn E JacksonDepartment of Social & Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, USA.
Nicole Fernández-ViñaDivision of Community Health Sciences, School of Public Health, University of California Berkeley, Berkeley, California, USA.
Patrick T BradshawDivision of Epidemiology, School of Public Health, University of California Berkeley, Berkeley, California, USA.
Wendi GoslinerDivision of Agriculture and Natural Resources, Nutrition Policy Institute, University of California, Oakland, California, USA.

Funding

Dev-Core-001P2CHD073964 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI EDWARD ANDREW MIGUEL · 2019 to 2026
$2.9M
Computational Social Science Training ProgramT32HD101364 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI Jennifer Ahern, PATRICK T BRADSHAW · 2020 to 2026
$1.7M
NICHD NIH HHS P2C HD073964NICHD NIH HHS T32 HD101364
6 · The paper itself

Abstract

introductionU.S. safety net programs provide critical support to Americans with low income. This cohort study examined patterns of safety net program take-up over time and associations with sociodemographics and health.

methodsSurveys among California households with low income (N=380) conducted in 2020-2021 and 2023 captured take-up of federal assistance programs (Medicaid; Supplemental Nutrition Assistance Program [SNAP]; Special Supplemental Nutrition Program for Women, Infants, and Children; Earned Income Tax Credit; Child Tax Credit) in 2019 and 2021 and health in 2023. Latent transition analysis identified patterns and temporal shifts in program take-up among those eligible. Multivariable regressions examined associations of patterns with sociodemographics and mental and overall health. Analyses were completed in 2024.

resultsThree take-up patterns emerged: high take-up of "all programs," "low SNAP," and "low tax programs." Most in "all programs" and "low SNAP" patterns in 2019 remained in 2021. Most starting in "low tax programs" transitioned to "all programs" by 2021. Higher income was associated with lower relative risk of "low tax programs" (RRR=0.37, 95% CI=0.28, 0.49). Hispanic ethnicity was associated with higher relative risk of "low SNAP" (RRR=3.73, 95% CI=1.50, 9.23). Having more children and depressive and anxiety symptoms were associated with higher relative risk of being in "all programs" at both timepoints. No associations were found with overall health.

conclusionsProportion of respondents with high take-up of all programs increased over the study period, perhaps due to pandemic-era policy changes. Take-up patterns showed associations with mental health, and key differences among sociodemographic subgroups suggest targeted interventions may improve participation.

Indexed as

Food AssistancePovertySafety-net ProvidersAdultCaliforniaCohort StudiesFemaleHealth StatusHumansMaleMiddle AgedSociodemographic FactorsSocioeconomic FactorsSurveys and QuestionnairesUnited States

Identifiers

PMID39914646
PMCPMC12033079

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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.