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

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          Abstract

          Introduction

          Despite 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.

          Methods

          This 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.

          Results

          Out 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.

          Conclusion

          This 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.

          Plain summary

          Adolescent fertility is a major health problem for many developing countries, especially those in sub-Saharan Africa (SSA). Although several sexual and reproductive health initiatives have been introduced in these countries, the number of births among adolescents continues to be high. The present study looked at the socioeconomic and geographical differences in adolescent fertility across 39 countries in SSA using data from the Demographic and Health Surveys embedded into the World Health Organization’s Health Equity Assessment Toolkit (WHO HEAT) software. The study found that in countries like Guinea, Niger, Nigeria, and Côte d’Ivoire, the rates of adolescent fertility varied a lot, with higher rates in rural areas. Generally, poorer young women were more likely to have babies, which made the gap between the rich and the poor even wider. Nigeria, Madagascar, Guinea, and Cameroon had the biggest differences. Education also played a role. In countries like Madagascar, Chad, Cameroon, and Zimbabwe, young women who did not go to school (had no education) were more likely to have children as teenagers.  The study showed that in all 39 countries, young women living in rural areas, those who were poorer and those who did not go to school (had no education) faced a bigger problem with adolescent fertility. The study suggests that if people who make health policies pay more attention to teenage girls in the rural areas, those who are poor and do not have much education, they could make a significant difference in reducing adolescent fertility.

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          Most cited references45

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          Demographic and health surveys: a profile.

          Demographic and Health Surveys (DHS) are comparable nationally representative household surveys that have been conducted in more than 85 countries worldwide since 1984. The DHS were initially designed to expand on demographic, fertility and family planning data collected in the World Fertility Surveys and Contraceptive Prevalence Surveys, and continue to provide an important resource for the monitoring of vital statistics and population health indicators in low- and middle-income countries. The DHS collect a wide range of objective and self-reported data with a strong focus on indicators of fertility, reproductive health, maternal and child health, mortality, nutrition and self-reported health behaviours among adults. Key advantages of the DHS include high response rates, national coverage, high quality interviewer training, standardized data collection procedures across countries and consistent content over time, allowing comparability across populations cross-sectionally and over time. Data from DHS facilitate epidemiological research focused on monitoring of prevalence, trends and inequalities. A variety of robust observational data analysis methods have been used, including cross-sectional designs, repeated cross-sectional designs, spatial and multilevel analyses, intra-household designs and cross-comparative analyses. In this profile, we present an overview of the DHS along with an introduction to the potential scope for these data in contributing to the field of micro- and macro-epidemiology. DHS datasets are available for researchers through MEASURE DHS at www.measuredhs.com.
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            Pregnancy and childbirth outcomes among adolescent mothers: a World Health Organization multicountry study.

            To investigate the risk of adverse pregnancy outcomes among adolescents in 29 countries. Secondary analysis using facility-based cross-sectional data of the World Health Organization Multicountry Survey on Maternal and Newborn Health. Twenty-nine countries in Africa, Latin America, Asia and the Middle East. Women admitted for delivery in 359 health facilities during 2-4 months between 2010 and 2011. Multilevel logistic regression models were used to estimate the association between young maternal age and adverse pregnancy outcomes. Risk of adverse pregnancy outcomes among adolescent mothers. A total of 124 446 mothers aged ≤24 years and their infants were analysed. Compared with mothers aged 20-24 years, adolescent mothers aged 10-19 years had higher risks of eclampsia, puerperal endometritis, systemic infections, low birthweight, preterm delivery and severe neonatal conditions. The increased risk of intra-hospital early neonatal death among infants born to adolescent mothers was reduced and statistically insignificant after adjustment for gestational age and birthweight, in addition to maternal characteristics, mode of delivery and congenital malformation. The coverage of prophylactic uterotonics, prophylactic antibiotics for caesarean section and antenatal corticosteroids for preterm delivery at 26-34 weeks was significantly lower among adolescent mothers. Adolescent pregnancy was associated with higher risks of adverse pregnancy outcomes. Pregnancy prevention strategies and the improvement of healthcare interventions are crucial to reduce adverse pregnancy outcomes among adolescent women in low- and middle-income countries. © 2014 RCOG The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.
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              Maternal-perinatal morbidity and mortality associated with adolescent pregnancy in Latin America: Cross-sectional study.

              This study was undertaken to determine whether adolescent pregnancy is associated with increased risks of adverse pregnancy outcomes. We studied 854,377 Latin American women who were younger than 25 years during 1985 through 2003 using information recorded in the Perinatal Information System database of the Latin American Center for Perinatology and Human Development, Montevideo, Uruguay. Adjusted odds ratios were obtained through logistic regression analysis. After an adjustment for 16 major confounding factors, adolescents aged 15 years or younger had higher risks for maternal death, early neonatal death, and anemia compared with women aged 20 to 24 years. Moreover, all age groups of adolescents had higher risks for postpartum hemorrhage, puerperal endometritis, operative vaginal delivery, episiotomy, low birth weight, preterm delivery, and small-for-gestational-age infants. All adolescent mothers had lower risks for cesarean delivery, third-trimester bleeding, and gestational diabetes. In Latin America, adolescent pregnancy is independently associated with increased risks of adverse pregnancy outcomes.
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                Author and article information

                Contributors
                aboagyegyan94@gmail.com
                Journal
                Reprod Health
                Reprod Health
                Reproductive Health
                BioMed Central (London )
                1742-4755
                31 May 2024
                31 May 2024
                2024
                : 21
                : 72
                Affiliations
                [1 ]School of Clinical Medicine, University of New South Wales, ( https://ror.org/03r8z3t63) Sydney, Australia
                [2 ]REMS Consultancy Services, Takoradi, Western Region Ghana
                [3 ]School of Population Health, University of New South Wales, ( https://ror.org/03r8z3t63) Sydney, NSW 2052 Australia
                [4 ]Department of Family and Community Health, Fred N. Binka School of Public Health, University of Health and Allied Sciences, ( https://ror.org/054tfvs49) Ho, PMB 31, Hohoe, Ghana
                [5 ]Department of Health, Physical Education, and Recreation, University of Cape Coast, ( https://ror.org/0492nfe34) Cape Coast, Ghana
                [6 ]Department of Nursing, School of Human and Health Sciences, University of Huddersfield, ( https://ror.org/05t1h8f27) Queensgate, Huddersfield, England United Kingdom
                [7 ]Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, ( https://ror.org/00xqf8t64) Bandung, West Java Indonesia
                [8 ]Centre for Gender and Advocacy, Takoradi Technical University, ( https://ror.org/03kbmhj98) P.O. Box 256, Takoradi, Ghana
                [9 ]College of Public Health, Medical and Veterinary Sciences, James Cook University, ( https://ror.org/04gsp2c11) Townsville, QLD 4811 Australia
                Article
                1806
                10.1186/s12978-024-01806-0
                11140906
                38822372
                56475f5a-b890-40fc-b4f5-a6508f0b8f3e
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 27 September 2023
                : 2 May 2024
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Obstetrics & Gynecology
                adolescent fertility,inequalities,residence,socioeconomic,africa
                Obstetrics & Gynecology
                adolescent fertility, inequalities, residence, socioeconomic, africa

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