Evidence map›Paper›PMID 37088228›Full record

ArticleThe American journal of clinical nutrition2023

Predictors of WIC uptake among low-income pregnant individuals: a longitudinal nationwide analysis.

Daniel F Collin, Alice Guan, Rita Hamad

Open access · hybridAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

3 authors at 2 institutions in 1 country.

Daniel F CollinPhilip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, United States.
Alice GuanDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.
Rita HamadPhilip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, United States; Department of Family and Community Medicine, University of California San Francisco, San Francisco, CA, United States. Electronic address: rita.hamad@ucsf.edu.
Lee University · USUniversity of California, San Francisco · US

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
NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

backgroundNutrition during pregnancy is important for maternal and infant health. The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) provides nutritional support for low-income pregnant and postpartum individuals and children under the age of 5 y. However, WIC participation was in decline in the decade leading up to 2019.

objectivesThis study examined individual and state predictors associated with WIC uptake among eligible individuals so as to identify subgroups for targeted intervention to improve participation.

methodsData came from the 2004-2019 waves of the Pregnancy Risk Assessment Monitoring System (PRAMS), a national survey of individuals who recently gave birth (N = 288,531). Multivariable logistic regressions were used to examine individual- and state-level and temporal predictors of WIC uptake among WIC-eligible respondents.

resultsAmong WIC-eligible respondents, ages of >35 (OR: 0.68; 95% CI: 0.66, 0.70), more than high school education (OR: 0.63; 95% CI: 062, 0.65), English language proficiency (OR: 0.71; 95% CI: 0.68, 0.74), being married (OR: 0.70; 95% CI: 0.69, 0.72), White race, smaller family size, not having prepregnancy diabetes, and higher income were associated with lower odds of WIC uptake. Respondents in states with higher earned income tax credit rates and in the Northeast, Midwest, and West (compared with the South) had lower WIC uptake. Respondents in states with higher gross domestic product, higher unemployment rates, higher Supplemental Nutrition Assistance Program, Temporary Assistance for Needy Families, and Medicaid caseloads, and Democrat governors had higher uptake; however, effect estimates were small and may not represent a meaningful change. Associations were the strongest during 2009-2015 than during other years, particularly for race/Hispanic origin, language, marital status, prepregnancy diabetes, family size, and prepregnancy.

conclusionsThis study identified several individual- and state-level characteristics associated with WIC uptake among low-income eligible respondents, paving the way for future interventions to target key subgroups to improve program participation.

Indexed as

Food AssistancePovertyChildFemaleHumansInfantPostpartum PeriodPregnancyRisk AssessmentUnited StatesWhitehealth disparitiesnutritionPRAMSpregnancyWIC uptake

Identifiers

PMID37088228
PMCPMC10447486
OpenAlexW4366779635

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.