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      Prevalence of first adolescent pregnancy and its associated factors in sub-Saharan Africa: A multi-country analysis

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          Abstract

          Introduction

          In low-and middle-income countries, pregnancy-related complications are major causes of death for young women. This study aimed to determine the prevalence of first adolescent pregnancy and its associated factors in sub-Saharan Africa.

          Methods

          We undertook a secondary analysis of cross-sectional data from Demographic and Health Surveys conducted in 32 sub-Saharan African countries between 2010 and 2018. We calculated the prevalence of first adolescent (aged 15 to 19 years) pregnancy in each country and examined associations between individual and contextual level factors and first adolescent pregnancy.

          Results

          Among all adolescents, Congo experienced the highest prevalence of first adolescent pregnancy (44.3%) and Rwanda the lowest (7.2%). However, among adolescents who had ever had sex, the prevalence ranged from 36.5% in Rwanda to 75.6% in Chad. The odds of first adolescent pregnancy was higher with increasing age, working, being married/cohabiting, having primary education only, early sexual initiation, knowledge of contraceptives, no unmet need for contraception and poorest wealth quintile. By contrast, adolescents who lived in rural areas and in the West African sub-region had lower odds of first adolescent pregnancy.

          Conclusion

          The prevalence of adolescent pregnancy in sub-Saharan African countries is high. Understanding the predictors of first adolescent pregnancy can facilitate the development of effective social policies such as family planning and comprehensive sex and relationship education in sub-Saharan Africa and can help ensure healthy lives and promotion of well-being for adolescents and their families and communities.

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          Most cited references68

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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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            Determinants of adolescent pregnancy in sub-Saharan Africa: a systematic review

            Background Adolescent pregnancy has been persistently high in sub-Saharan Africa. The objective of this review is to identify factors influencing adolescent pregnancies in sub-Saharan Africa in order to design appropriate intervention program. Methods A search in MEDLINE, Scopus, Web of science, and Google Scholar databases with the following keywords: determinants, factors, reasons, sociocultural factors, adolescent pregnancy, unintended pregnancies, and sub- Saharan Africa. Qualitative and cross-sectional studies intended to assess factors influencing adolescent pregnancies as the primary outcome variable in sub- Saharan Africa were included. Our search was limited to, articles published from the year 2000 to 2017 in English. Twenty-four (24) original articles met the inclusion criteria. Results The study identified Sociocultural, environmental and Economic factors (Peer influence, unwanted sexual advances from adult males, coercive sexual relations, unequal gender power relations, poverty, religion, early marriage, lack of parental counseling and guidance, parental neglect, absence of affordable or free education, lack of comprehensive sexuality education, non-use of contraceptives, male’s responsibility to buy condoms, early sexual debut and inappropriate forms of recreation). Individual factors (excessive use of alcohol, substance abuse, educational status, low self-esteem, and inability to resist sexual temptation, curiosity, and cell phone usage). Health service-related factors (cost of contraceptives, Inadequate and unskilled health workers, long waiting time and lack of privacy at clinics, lack of comprehensive sexuality education, misconceptions about contraceptives, and non-friendly adolescent reproductive services,) as influencing adolescent pregnancies in Sub-Saharan Africa Conclusion High levels of adolescent pregnancies in Sub-Saharan Africa is attributable to multiple factors. Our study, however, categorized these factors into three major themes; sociocultural and economic, individual, and health service related factors as influencing adolescent pregnancies. Community sensitization, comprehensive sexuality education and ensuring girls enroll and stay in schools could reduce adolescent pregnancy rates. Also, provision of adolescent-friendly health services in schools and healthcare centers and initiating adolescent empowerment programs could have a positive impact.
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              Muslim Women’s use of contraception in the United States

              Background American Muslim women are an understudied population; thus, significant knowledge gaps exist related to their most basic health behaviors and indicators. Considering this, we examined American Muslim women’s contraception utilization patterns. Methods Self-reported data collected in late 2015 were analyzed. Women who identified as Muslim, were at least 18 years old, sexually active, and current residents of the United States (n = 224) met the inclusion criteria. Convenience sampling was employed. Multivariate logistic regression models estimated associations between demographics, marital status, ethnicity, nativity, health insurance, religious practice, and contraception use. Results Identifying as Muslim, in general, was significantly associated with greater odds of using contraception in general and condoms compared to American Muslim women who identify as Sunni. Identifying as Shia was associated with greater odds of using oral contraceptive pills relative to Sunni respondents. South Asian ethnicity was associated with higher odds of using oral contraceptive pills compared to those of Middle Eastern or North African ethnicity. Conclusions Findings suggest American Muslim women’s contraception utilization patterns share certain similarities with both American women in general and disadvantaged racial and ethnic minority groups in the United States, implying that factors that influence American Muslim women’s use of contraceptives are possibly countervailing and likely multifaceted. More research is needed to accurately identify associates of contraceptive use in this population. This work serves as a starting point for researchers and practitioners seeking to better understand reproductive health decision in this understudied population.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                4 February 2021
                2021
                : 16
                : 2
                : e0246308
                Affiliations
                [1 ] School of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, New South Wales, Australia
                [2 ] Faculty of Health, University of Technology Sydney, Ultimo, New South Wales, Australia
                University of Salamanca, SPAIN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-7415-895X
                Article
                PONE-D-20-27199
                10.1371/journal.pone.0246308
                7861528
                33539394
                bbc2edf5-4fdb-4f9e-8fa1-2b325e5ac619

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 30 August 2020
                : 15 January 2021
                Page count
                Figures: 0, Tables: 3, Pages: 16
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                People and Places
                Population Groupings
                Age Groups
                Children
                Adolescents
                People and Places
                Population Groupings
                Families
                Children
                Adolescents
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Pregnancy
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Pregnancy
                Medicine and Health Sciences
                Pharmacology
                Drugs
                Contraceptives
                Biology and Life Sciences
                Bioengineering
                Biotechnology
                Medical Devices and Equipment
                Contraceptives
                Engineering and Technology
                Bioengineering
                Biotechnology
                Medical Devices and Equipment
                Contraceptives
                Medicine and Health Sciences
                Medical Devices and Equipment
                Contraceptives
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Contraception
                Medicine and Health Sciences
                Health Care
                Health Care Policy
                Earth Sciences
                Geography
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                Rural Areas
                People and Places
                Geographical Locations
                Africa
                Social Sciences
                Sociology
                Human Families
                Custom metadata
                The dataset is available to the public at https://dhsprogram.com/data/available-datasets.cfm.

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