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...

Full description

Bibliographic Details
Main Authors: Jean Claude Nibaruta, Bella Kamana, Mohamed Chahboune, Milouda Chebabe, Saad Elmadani, Jack E. Turman, Morad Guennouni, Hakima Amor, Abdellatif Baali, Noureddine Elkhoudri
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Pregnancy and Childbirth
Subjects:
Online Access:https://doi.org/10.1186/s12884-022-05009-y
_version_ 1798037327052800000
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.
first_indexed 2024-04-11T21:25:03Z
format Article
id doaj.art-8f5152d70018459f9102a7d68d1da1a9
institution Directory Open Access Journal
issn 1471-2393
language English
last_indexed 2024-04-11T21:25:03Z
publishDate 2022-09-01
publisher BMC
record_format Article
series BMC Pregnancy and Childbirth
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
work_keys_str_mv AT jeanclaudenibaruta prevalencetrendanddeterminantsofadolescentchildbearinginburundiamultilevelanalysisofthe1987to201617burundidemographicandhealthsurveysdata
AT bellakamana prevalencetrendanddeterminantsofadolescentchildbearinginburundiamultilevelanalysisofthe1987to201617burundidemographicandhealthsurveysdata
AT mohamedchahboune prevalencetrendanddeterminantsofadolescentchildbearinginburundiamultilevelanalysisofthe1987to201617burundidemographicandhealthsurveysdata
AT miloudachebabe prevalencetrendanddeterminantsofadolescentchildbearinginburundiamultilevelanalysisofthe1987to201617burundidemographicandhealthsurveysdata
AT saadelmadani prevalencetrendanddeterminantsofadolescentchildbearinginburundiamultilevelanalysisofthe1987to201617burundidemographicandhealthsurveysdata
AT jacketurman prevalencetrendanddeterminantsofadolescentchildbearinginburundiamultilevelanalysisofthe1987to201617burundidemographicandhealthsurveysdata
AT moradguennouni prevalencetrendanddeterminantsofadolescentchildbearinginburundiamultilevelanalysisofthe1987to201617burundidemographicandhealthsurveysdata
AT hakimaamor prevalencetrendanddeterminantsofadolescentchildbearinginburundiamultilevelanalysisofthe1987to201617burundidemographicandhealthsurveysdata
AT abdellatifbaali prevalencetrendanddeterminantsofadolescentchildbearinginburundiamultilevelanalysisofthe1987to201617burundidemographicandhealthsurveysdata
AT noureddineelkhoudri prevalencetrendanddeterminantsofadolescentchildbearinginburundiamultilevelanalysisofthe1987to201617burundidemographicandhealthsurveysdata