Evidence map›Paper›PMID 40164486›Full record

ReviewBMJ global health2025

Unintended pregnancy and gender inequality worldwide: an ecological analysis.

Gilda Sedgh, Jonathan Marc Bearak

Abstract readReview
In one paragraph

Review in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Gilda SedghGuttmacher Institute, New York, New York, USA gsedgh@guttmacher.org.ORCID http://orcid.org/0000-0003-1864-2506
Jonathan Marc BearakGuttmacher Institute, New York, New York, USA.ORCID http://orcid.org/0000-0002-3207-1431

Funding

Gates Foundation INV-039248
6 · The paper itself

Abstract

Unintended pregnancy compromises many women's and girls' ability to pursue the lives that they want. The conditional unintended pregnancy rate (CUPR) is a measure of unintended pregnancy among women who wish to avoid getting pregnant. Using the CUPR, we explore the relationship between gender inequality and unintended pregnancy across 132 countries. We used gender inequality indicators from the UNDP Human Development Report and estimates of the incidence of unintended pregnancy published by the Guttmacher Institute and WHO. We regressed the CUPR on several measures of gender inequality using least squares with a percentile bootstrap to account for sampling error and the additional uncertainty in the model-based unintended pregnancy estimates. We find that unintended pregnancy is positively correlated with multiple composite measures of gender inequality, even after controlling for countries' levels of economic development. Of the components of gender inequality, gender disparities in educational attainment were most strongly correlated with unintended pregnancy in multivariable regressions. We also find that female educational attainment is a stronger predictor of the CUPR than male educational attainment. Analyses with the standard unintended pregnancy rate, a measure that does not take into account differences across settings in the proportion of women who wish to avoid getting pregnant, obscured the strength of the observed relationships. Further exploration of the factors underlying this relationship can inform policies to improve the quality of women's lives.

Indexed as

Gender EquityGlobal HealthPregnancy, UnplannedEducational StatusFemaleHumansMalePregnancySocioeconomic FactorsEpidemiologyGlobal HealthMaternal health

Identifiers

PMID40164486
PMCPMC11962802

What OpenQuestion holds

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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.