Prevalence, trend and determinants of adolescent childbearing in Burundi: a multilevel analysis of the 1987 to 2016–17 Burundi Demographic and Health Surveys data
Abstract Background Very little is known about factors influencing adolescent childbearing despite an upward trend in adolescent childbearing prevalence in Burundi, and its perceived implications on the rapid population growth and ill-health of young mothers and their babies. To adress this gap, thi...
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BMC
2022-09-01
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Series: | BMC Pregnancy and Childbirth |
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Online Access: | https://doi.org/10.1186/s12884-022-05009-y |
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author | Jean Claude Nibaruta Bella Kamana Mohamed Chahboune Milouda Chebabe Saad Elmadani Jack E. Turman Morad Guennouni Hakima Amor Abdellatif Baali Noureddine Elkhoudri |
author_facet | Jean Claude Nibaruta Bella Kamana Mohamed Chahboune Milouda Chebabe Saad Elmadani Jack E. Turman Morad Guennouni Hakima Amor Abdellatif Baali Noureddine Elkhoudri |
author_sort | Jean Claude Nibaruta |
collection | DOAJ |
description | Abstract Background Very little is known about factors influencing adolescent childbearing despite an upward trend in adolescent childbearing prevalence in Burundi, and its perceived implications on the rapid population growth and ill-health of young mothers and their babies. To adress this gap, this study aimed to examine the prevalence, trends and determinants of adolescent childbearing in Burundi. Methods Secondary analyses of the 1987, 2010 and 2016–17 Burundi Demographic and Health Surveys (BDHS) data were conducted using STATA. Weighted samples of 731 (1987 BDHS), 2359 (2010 BDHS) and 3859 (2016-17BDHS) adolescent girls aged 15–19 years old were used for descriptive and trend analyses. Both bivariable and multivariable two-level logistic regression analyses were performed to identify the main factors associated with adolescent childbearing using only the 2016–17 BDHS data. Results The prevalence of adolescent childbearing increased from 5.9% in 1987 to 8.3% in 2016/17. Factors such as adolescent girls aged 18–19 years old (aOR =5.85, 95% CI: 3.54–9.65, p < 0.001), adolescent illiteracy (aOR = 4.18, 95% CI: 1.88–9.30, p < 0.001), living in poor communities (aOR = 2.19, 95% CI: 1.03–4.64, p = 0.042), early marriage (aOR = 9.28, 95% CI: 3.11–27.65, p < 0.001), lack of knowledge of any contraceptive methods (aOR = 5.33, 95% CI: 1.48–19.16, p = 0.010), and non-use of modern contraceptive methods (aOR = 24.48, 95% CI: 9.80–61.14), p < 0.001) were associated with higher odds of adolescent childbearing. While factors such as living in the richest household index (aOR = 0.52, 95% IC: 0.45–0.87, p = 0.00), living in West region (aOR = 0.26, 95%CI: 0.08–0.86, p = 0.027) or in South region (aOR = 0.31, 95% CI: 0.10–0.96, p = 0.041) were associated with lower odds of adolescent childbearing. Conclusion Our study found an upward trend in adolescent childbearing prevalence and there were significant variations in the odds of adolescent childbearing by some individual and community-level factors. School-and community-based intervention programs aimed at promoting girls’ education, improving socioeconomic status, knowledge and utilization of contraceptives and prevention of early marriage among adolescent girls is crucial to reduce adolescent childbearing in Burundi. |
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spelling | doaj.art-8f5152d70018459f9102a7d68d1da1a92022-12-22T04:02:27ZengBMCBMC Pregnancy and Childbirth1471-23932022-09-0122111310.1186/s12884-022-05009-yPrevalence, trend and determinants of adolescent childbearing in Burundi: a multilevel analysis of the 1987 to 2016–17 Burundi Demographic and Health Surveys dataJean Claude Nibaruta0Bella Kamana1Mohamed Chahboune2Milouda Chebabe3Saad Elmadani4Jack E. Turman5Morad Guennouni6Hakima Amor7Abdellatif Baali8Noureddine Elkhoudri9Hassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and TechnologiesHassan II University, Ibn Rochd University Hospital of Casablanca, Haematology laboratoryHassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and TechnologiesHassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and TechnologiesHassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and TechnologiesIndiana University, Richard M. Fairbanks School of Public Health, Departments of Social and Behavioral SciencesHassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and TechnologiesCadi Ayyad University of Marrakech, Semlalia Faculty of Science, Departments of BiologyCadi Ayyad University of Marrakech, Semlalia Faculty of Science, Departments of BiologyHassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and TechnologiesAbstract Background Very little is known about factors influencing adolescent childbearing despite an upward trend in adolescent childbearing prevalence in Burundi, and its perceived implications on the rapid population growth and ill-health of young mothers and their babies. To adress this gap, this study aimed to examine the prevalence, trends and determinants of adolescent childbearing in Burundi. Methods Secondary analyses of the 1987, 2010 and 2016–17 Burundi Demographic and Health Surveys (BDHS) data were conducted using STATA. Weighted samples of 731 (1987 BDHS), 2359 (2010 BDHS) and 3859 (2016-17BDHS) adolescent girls aged 15–19 years old were used for descriptive and trend analyses. Both bivariable and multivariable two-level logistic regression analyses were performed to identify the main factors associated with adolescent childbearing using only the 2016–17 BDHS data. Results The prevalence of adolescent childbearing increased from 5.9% in 1987 to 8.3% in 2016/17. Factors such as adolescent girls aged 18–19 years old (aOR =5.85, 95% CI: 3.54–9.65, p < 0.001), adolescent illiteracy (aOR = 4.18, 95% CI: 1.88–9.30, p < 0.001), living in poor communities (aOR = 2.19, 95% CI: 1.03–4.64, p = 0.042), early marriage (aOR = 9.28, 95% CI: 3.11–27.65, p < 0.001), lack of knowledge of any contraceptive methods (aOR = 5.33, 95% CI: 1.48–19.16, p = 0.010), and non-use of modern contraceptive methods (aOR = 24.48, 95% CI: 9.80–61.14), p < 0.001) were associated with higher odds of adolescent childbearing. While factors such as living in the richest household index (aOR = 0.52, 95% IC: 0.45–0.87, p = 0.00), living in West region (aOR = 0.26, 95%CI: 0.08–0.86, p = 0.027) or in South region (aOR = 0.31, 95% CI: 0.10–0.96, p = 0.041) were associated with lower odds of adolescent childbearing. Conclusion Our study found an upward trend in adolescent childbearing prevalence and there were significant variations in the odds of adolescent childbearing by some individual and community-level factors. School-and community-based intervention programs aimed at promoting girls’ education, improving socioeconomic status, knowledge and utilization of contraceptives and prevention of early marriage among adolescent girls is crucial to reduce adolescent childbearing in Burundi.https://doi.org/10.1186/s12884-022-05009-yAdolescentChildbearingDeterminantsMultilevel analysisBurundi |
spellingShingle | Jean Claude Nibaruta Bella Kamana Mohamed Chahboune Milouda Chebabe Saad Elmadani Jack E. Turman Morad Guennouni Hakima Amor Abdellatif Baali Noureddine Elkhoudri Prevalence, trend and determinants of adolescent childbearing in Burundi: a multilevel analysis of the 1987 to 2016–17 Burundi Demographic and Health Surveys data BMC Pregnancy and Childbirth Adolescent Childbearing Determinants Multilevel analysis Burundi |
title | Prevalence, trend and determinants of adolescent childbearing in Burundi: a multilevel analysis of the 1987 to 2016–17 Burundi Demographic and Health Surveys data |
title_full | Prevalence, trend and determinants of adolescent childbearing in Burundi: a multilevel analysis of the 1987 to 2016–17 Burundi Demographic and Health Surveys data |
title_fullStr | Prevalence, trend and determinants of adolescent childbearing in Burundi: a multilevel analysis of the 1987 to 2016–17 Burundi Demographic and Health Surveys data |
title_full_unstemmed | Prevalence, trend and determinants of adolescent childbearing in Burundi: a multilevel analysis of the 1987 to 2016–17 Burundi Demographic and Health Surveys data |
title_short | Prevalence, trend and determinants of adolescent childbearing in Burundi: a multilevel analysis of the 1987 to 2016–17 Burundi Demographic and Health Surveys data |
title_sort | prevalence trend and determinants of adolescent childbearing in burundi a multilevel analysis of the 1987 to 2016 17 burundi demographic and health surveys data |
topic | Adolescent Childbearing Determinants Multilevel analysis Burundi |
url | https://doi.org/10.1186/s12884-022-05009-y |
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