Evidence map›Paper›PMID 38822372›Full record

ArticleReproductive health2024

Socioeconomic and residence-based inequalities in adolescent fertility in 39 African countries.

Bright Opoku Ahinkorah, Richard Gyan Aboagye, Aliu Mohammed, Precious Adade Duodu, Qorinah Estiningtyas Sakilah Adnani, Abdul-Aziz Seidu

Abstract read
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Article in Reproductive health, 2024. 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
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Bright Opoku AhinkorahSchool of Clinical Medicine, University of New South Wales, Sydney, Australia.
Richard Gyan AboagyeSchool of Population Health, University of New South Wales, Sydney, NSW, 2052, Australia. aboagyegyan94@gmail.com.
Aliu MohammedDepartment of Health, Physical Education, and Recreation, University of Cape Coast, Cape Coast, Ghana.
Precious Adade DuoduDepartment of Nursing, School of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, England, United Kingdom.
Qorinah Estiningtyas Sakilah AdnaniDepartment of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, West Java, Indonesia.
Abdul-Aziz SeiduREMS Consultancy Services, Takoradi, Western Region, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite the advancement in sexual and reproductive healthcare services and several public health measures aimed at controlling fertility rates, countries in sub-Saharan Africa (SSA) still experience higher adolescent fertility rates than other low-and middle-income countries. This study examined the disparities in adolescent fertility in 39 countries in SSA, focusing on socioeconomic and residence-based dimensions.

methodsThis study involved a secondary analysis of data obtained from 39 recent Demographic and Health Surveys conducted in SSA. The measures of difference (D), ratio (R), population attributable fraction (PAF), and population attributable risk (PAR) were estimated using the Health Equity Assessment Tool (HEAT) software version 3.1 developed by the World Health Organization. The measures: D, R, PAF, and PAR were used to examine the inequalities in adolescent fertility across the socioeconomic and residence-based dimensions.

resultsOut of the 39 countries included in the study, Guinea (D=27.70), Niger (D=27.50), Nigeria (D=23.90), and Côte d'Ivoire (D=23.60) exhibited the most significant residence-based inequalities in the rate of adolescent fertility, with the higher rate observed among adolescents in rural areas. Rwanda was the sole country that showed a slight inclination towards rural inequality in terms of the rate of adolescent fertility, with a value of D = -0.80. The burden of adolescent fertility was disproportionately higher among young women with low economic status across all the countries, exacerbating wealth-based inequities. The countries with the largest absolute discrepancies were Nigeria (D=44.70), Madagascar (D=41.10), Guinea (D=41.00), and Cameroon (D=40.20). We found significant disparities in educational attainment contributing to unequal inequalities in adolescent fertility, particularly among young women who lack access to formal education. Countries such as Madagascar (D=59.50), Chad (D=55.30), Cameroon (D=54.60), and Zimbabwe (D=50.30) had the most significant absolute disparities.

conclusionThis study revealed that young women residing in rural areas, those in households with low economic status and those with limited educational opportunities experience a disproportionately high burden of adolescent fertility across the 39 countries in SSA. The current findings offer valuable information to governmental entities at all levels regarding the need to ensure the provision of equitable, accessible, and dependable sexual and reproductive health services to the populace, particularly for young women. Therefore, the various stakeholders need to enhance the effectiveness of health policies and legislation pertaining to adolescent women living in rural areas, those from economically disadvantaged households, and those with limited or no access to formal education. Such interventions could potentially reduce adolescent fertility rates and mitigate the adverse maternal and child outcomes associated with high adolescent fertility in SSA.

Indexed as

Birth RatePregnancy in AdolescenceSocioeconomic FactorsAdolescentAfrica South of the SaharaFemaleFertilityHumansMalePregnancyRural PopulationYoung AdultAdolescent fertilityAfricaInequalitiesResidenceSocioeconomic

Identifiers

PMID38822372
PMCPMC11140906

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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.