Evidence map›Paper›PMID 39319997›Full record

ArticleDemography2024

The Impact of Multiple Births on Fertility: Stopping and Spacing in the United States During the Demographic Transition.

George Alter, J David Hacker

Abstract read
In one paragraph

Article in Demography, 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
–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

2 citing papers in PubMed.

  1. Article
  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

2 authors.

George AlterInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-3823-4972
J David HackerDepartment of History and Minnesota Population Center, College of Liberal Arts, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-5971-955X

Funding

Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
Models of Demographic and Health Changes following Military ConflictR01HD082120 · NICHD · UNIVERSITY OF MINNESOTA · PI HACKER, J. DAVID · 2015 to 2019
$2.9M
NICHD NIH HHS P2C HD041023NICHD NIH HHS R01 HD082120
6 · The paper itself

Abstract

Multiple births strain mothers' and families' resources in ways that should highlight preferences for family size, birth spacing, and parity-dependent stopping behavior. Couples with surviving twins reach their target family size sooner than other couples and should be more likely to practice family limitation. Twins are also a greater burden on the mother's time and health, which could lead to postponing the next birth, even among couples who want additional children. We examine these hypotheses by analyzing families with twins in the 1900 and 1910 U.S. Censuses. Using reconstructed birth histories for more than 7 million women in the IPUMS full-count 1900 and 1910 datasets and event-history methods (Kaplan-Meier curves, cure models), we find clear evidence of family limitation following a multiple birth. Couples who had twins or triplets were more likely to stop childbearing, and those who continued having children delayed their next birth. Responses to multiple births were larger in groups previously identified as leaders in the transition to smaller families, and roughly one third of couples stopped after one or two children. We find no evidence that some groups relied primarily on birth spacing to reduce family size while others relied primarily on stopping.

Indexed as

Birth IntervalsFamily CharacteristicsMultiple Birth OffspringAdultFemaleFertilityHumansMalePregnancyPregnancy, MultipleSociodemographic FactorsSocioeconomic FactorsUnited StatesYoung AdultCure modelDemographic transitionFertilityIPUMSUnited States

Identifiers

PMID39319997
PMCPMC11566657

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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.