Evidence map›Paper›PMID 40057721›Full record

ArticleBMC women's health2025

Decomposing the effect of women's educational status on fertility across the six geo-political zones in Nigeria: 2003-2018.

Tubosun A Olowolafe, Ayo S Adebowale, Adeniyi F Fagbamigbe, Obiageli C Onwusaka, Nicholas Aderinto, David B Olawade, Ojima Z Wada

Abstract read
In one paragraph

Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Childhood Demographics and Socioeconomic Conditions Predict Reproduction 15 Years Later.Evolutionary psychology : an international journal of evolutionary approaches to psychology and behavior
    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

7 authors.

Tubosun A OlowolafeDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, University of Ibadan, Ibadan, Nigeria.
Ayo S AdebowaleDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, University of Ibadan, Ibadan, Nigeria.
Adeniyi F FagbamigbeDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, University of Ibadan, Ibadan, Nigeria.
Obiageli C OnwusakaDepartment of Public Health, Faculty of Allied Medical Sciences, University of Calabar, Calabar, Nigeria.
Nicholas AderintoDepartment of Medicine and Surgery, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. nicholasoluwaseyi6@gmail.com.
David B OlawadeDepartment of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, UK.
Ojima Z WadaDivision of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNigeria faces a dual challenge of high fertility rates and limited female education. Studies suggest that education can contribute to fertility reduction. This study aimed to show the differences and quantify the disparity in fertility rates between educated and uneducated women in Nigeria.

methodsA repeated cross-sectional analysis was conducted using secondary data from the Nigeria Demographic and Health Surveys (2003, 2008, 2013, 2018; Total = 121,774). Fertility differentials for women aged 15-49 were measured using Oaxaca-Blinder decomposition (α = 0.05).

resultsThe proportion of women without education remained high throughout the study period (41.6% in 2003, 35.8% in 2008, 37.8% in 2013 and 34.9% in 2018). Uneducated women consistently exhibited higher fertility rates than educated women across all survey years and regions. The risk difference of high fertility was greatest in the SouthEast region (34.0) and lowest in the North East (22.19). Factors contributing to the disparity included maternal age, age at first marriage, wealth index, and age at first birth.

conclusionMarked fertility inequalities exist between educated and uneducated women across Nigerian regions. These findings highlight the crucial role of female education in fertility reduction efforts.

Indexed as

Birth RateEducational StatusFertilityAdolescentAdultCross-Sectional StudiesFemaleHealth SurveysHumansMiddle AgedNigeriaSocioeconomic FactorsYoung AdultDecompositionEducationFertility rateGender equalityNigeria

Identifiers

PMID40057721
PMCPMC11889893

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.