Evidence map›Paper›PMID 37119154›Full record

ArticleChild maltreatment2024

Birth Spacing and Child Maltreatment: Population-Level Estimates for North Carolina.

Anna Rybińska, Yu Bai, W Benjamin Goodman, Kenneth A Dodge

Open access · greenAbstract read
In one paragraph

Article in Child maltreatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 1 institution in 1 country.

Anna RybińskaCenter for Child and Family Policy, Duke University, Durham, NC, USA.ORCID 0000-0002-6112-4256
Yu BaiCenter for Child and Family Policy, Duke University, Durham, NC, USA.
W Benjamin GoodmanCenter for Child and Family Policy, Duke University, Durham, NC, USA.
Kenneth A DodgeSanford School of Public Policy, Duke University, Durham, NC, USA.
Duke University · US

Funding

Community Prevention of Child MaltreatmentR01HD069981 · NICHD · DUKE UNIVERSITY · PI DODGE, KENNETH A · 2012 to 2022
$6.3M
Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
NICHD NIH HHS P2C HD065563NICHD NIH HHS R01 HD069981
6 · The paper itself

Abstract

We examine population-level associations between birth spacing and child maltreatment using birth records and child welfare records for 1,099,230 second or higher parity children born in North Carolina between 1997 and 2013. Building upon previous research, administrative data linkages were used to address out-of-state migration and family-level heterogeneity in birth spacing and child maltreatment risk factors. Findings provide the strongest evidence to date that very short birth spacing of zero through 6 months from last birth to the index child's conception is a prenatal predictor of child maltreatment (indexed as child welfare involvement) throughout early childhood. Consequently, information about optimal family planning during the postpartum period should become a standard component of universal and targeted child maltreatment prevention programs. However, challenging previous empirical evidence, this study reports inconsistent results for benefits of additional spacing delay beyond 6 months with regard to child maltreatment risk reduction, especially for children of racial and ethnic minorities. These findings call for further inquiry about the mechanisms driving the connections between birth spacing and Child Protective Services assessments.

Indexed as

Birth IntervalsChild AbuseAdultChildChild, PreschoolFemaleHumansInfantMaleNorth CarolinaPregnancyRisk Factorschild maltreatmentchild protective servicesfamilyprevention

Identifiers

PMID37119154
PMCPMC10613127
OpenAlexW4367367843

What OpenQuestion holds

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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.