Evidence map›Paper›PMID 37286848›Full record

ArticleMaternal and child health journal2023

Understanding the Predictors of Low Take-Up of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC): A Nationwide Longitudinal Study.

Alice Guan, Akansha Batra, Hilary Seligman, Rita Hamad

Abstract read
In one paragraph

Article in Maternal and child health journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Alice GuanDepartment of Epidemiology & Biostatistics, University of California San Francisco (UCSF), San Francisco, CA, USA. alice.guan@ucsf.edu.ORCID http://orcid.org/0000-0002-9075-4230
Akansha BatraDepartment of Epidemiology & Biostatistics, University of California San Francisco (UCSF), San Francisco, CA, USA.
Hilary SeligmanDepartment of Epidemiology & Biostatistics, University of California San Francisco (UCSF), San Francisco, CA, USA.
Rita HamadCenter for Vulnerable Populations, UCSF, San Francisco, CA, USA.

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Evaluation of Natural Experiments of Nutrition Assistance to Prevent and Control Diabetes among Low-Income CommunitiesU18DP006526 · DP · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHILLINGER, DEAN · 2020 to 2024
$1.9M
Alabama Pregnancy Risk Assessment Monitoring SystemUR6DP000498 · DP · ALABAMA STATE DEPT OF PUBLIC HEALTH · PI MOLCHAN, CATHERINE · 2006 to 2010
$711k
A lifecourse approach to evaluating the effect of structural stigma on cancer risk factors among sexual minoritiesF31CA257351 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUAN, ALICE · 2021 to 2023
$114k
ACL HHS U18DP006526Cancer Research Institute F31CA257351NCATS NIH HHS UL1 TR001872NCATS NIH HHS UL1TR001872NCCDPHP CDC HHS U18 DP006526NCCDPHP CDC HHS U18DP006526NCCDPHP CDC HHS UR6 DP000498NCI NIH HHS F31 CA257351NIDDK NIH HHS P30 DK092924NIDDK NIH HHS P30DK092924
6 · The paper itself

Abstract

introductionThe Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is among the largest U.S. social safety net programs. Although strong evidence exists regarding the benefits of WIC, take-up (i.e., participation among eligible individuals) has steadily declined in the past decade. This study addresses gaps in our knowledge regarding predictors of WIC take-up during this time.

methodsData were drawn from the 1998-2017 waves of the National Health Interview Study (NHIS), a serial cross-sectional study of the U.S. POPULATION: The analytic sample included 23,645 children and 10,297 women eligible for WIC based on self-reported demographic characteristics. To investigate predictors of WIC take-up, we regressed self-reported WIC receipt on a range of individual-level predictors (e.g., age, nativity, income) and state- level predictors (e.g., unemployment rate, governor's political affiliation) using multivariable logistic regression. In secondary analyses, results were additionally stratified by race/ethnicity, time period, and age (for children).

resultsFor both women and children, older maternal age and higher educational attainment were associated with decreased take-up of WIC. Associations differed by race/ethnicity, time period, and state characteristics including caseload of other social programs (e.g., Medicaid). DISCUSSION: Our study identifies groups that are less likely to take up WIC benefits for which they are eligible, thereby contributing important evidence to inform programs and policies to increase WIC participation among groups with lower take-up. As WIC evolves past the COVID-19 pandemic, special attention will be needed to ensure that resources to encourage and support the participation of racially and economically marginalized individuals are equitably distributed.

Indexed as

COVID-19Food AssistanceChildCross-Sectional StudiesEthnicityFemaleHumansInfantLongitudinal StudiesPandemicsUnited StatesChild nutritionMaternal nutritionPolicy evaluationPoverty alleviationWIC

Identifiers

PMID37286848
PMCPMC10247269

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.