Evidence map›Paper›PMID 36135222›Full record

ArticleDemography2022

Social Spending and Educational Gaps in Infant Health in the United States, 1998-2017.

Margot I Jackson, Emily Rauscher, Ailish Burns

Abstract read
In one paragraph

Article in Demography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Margot I JacksonDepartment of Sociology, Brown University, Providence, RI, USA.ORCID 0000-0002-7588-7625
Emily RauscherDepartment of Sociology, Brown University, Providence, RI, USA.
Ailish BurnsDepartment of Sociology, Brown University, Providence, RI, USA.

Funding

Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI Margot Jackson · 2016 to 2026
$7.6M
TRAINING IN DEMOGRAPHYT32HD007338 · NICHD · BROWN UNIVERSITY · PI ANDREW D. FOSTER · 1987 to 2026
$7.0M
Investments and Disparities in Children's OutcomesR03HD097421 · NICHD · BROWN UNIVERSITY · PI JACKSON, MARGOT · 2019 to 2020
$185k
NICHD NIH HHS P2C HD041020NICHD NIH HHS R03 HD097421NICHD NIH HHS T32 HD007338
6 · The paper itself

Abstract

Recent expansions of child tax, food assistance, and health insurance programs have made American families' need for a robust social safety net highly evident, while researchers and policymakers continue to debate the best way to support families via the welfare state. How much do children-and which children-benefit from social spending? Using the State-by-State Spending on Kids Dataset, linked to National Vital Statistics System birth data from 1998 to 2017, we examine how state-level child spending affects infant health across maternal education groups. We find that social spending has benefits for both low birth weight and preterm birth rates, especially among babies born to mothers with less than a high school education. The stronger benefits of social spending among lower educated families lead to meaningful declines in educational gaps in infant health as social spending increases. Our findings are consistent with the idea that a strong local welfare state benefits infant health and increases equality of opportunity, and that spending on nonhealth programs is equally beneficial for infant health as investments in health programs.

Indexed as

Infant HealthPremature BirthChildEducational StatusFemaleHumansInfantInfant, NewbornInsurance, HealthSocial WelfareUnited StatesChildrenEducationHealthInequalitySocial policy

Identifiers

PMID36135222
PMCPMC9791646

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.