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Heterogeneous effects of socio-economic and cultural factors on fertility differentials in Burundi and Morocco during their fertility transition periods: a retrospective, cross-sectional and comparative study.
Nibaruta, Jean Claude; Kamana, Bella; Chahboune, Mohamed; Chebabe, Milouda; Elmadani, Saad; Turman, Jack Edward; Guennouni, Morad; Amor, Hakima; Baali, Abdellatif; Elkhoudri, Noureddine.
Afiliação
  • Nibaruta JC; Hassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco.
  • Kamana B; Hassan II University, Ibn Rochd University Hospital of Casablanca, Medical Biology Laboratory, Casablanca, Morocco.
  • Chahboune M; Hassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco.
  • Chebabe M; Hassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco.
  • Elmadani S; Hassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco.
  • Turman JE; Indiana University, Richard M. Fairbanks School of Public Health, Department of Social and Behavioral Sciences, Indianapolis, Indiana, USA.
  • Guennouni M; Chouaîb Doukkali University, Higher School of Education and Training, Science and Technology Team, El Jadida, Morocco.
  • Amor H; Cadi Ayyad University of Marrakech, Semlalia Faculty of Science, Department of Biology, Marrakech, Morocco.
  • Baali A; Cadi Ayyad University of Marrakech, Semlalia Faculty of Science, Department of Biology, Marrakech, Morocco.
  • Elkhoudri N; Hassan First University of Settat, Higher Institute of Health Sciences, Laboratory of Health Sciences and Technologies, Settat, Morocco.
Pan Afr Med J ; 45: 161, 2023.
Article em En | MEDLINE | ID: mdl-37900201
ABSTRACT

Introduction:

few studies have examined the factors influencing fertility differentials and the variation in their effects in countries with different socioeconomic and cultural backgrounds and different fertility transition paces. To address this gap, our study sought to first identify the factors that influenced fertility differentials in Morocco and Burundi during their fertility transition periods, and then to compare the effects of these factors between the two countries.

Methods:

using data from the 2003-4 Morocco and 2010 Burundi Demographic and Health Surveys, bivariable and multivariable Poisson regression analyses offset by the natural logarithm of the women´s age were performed to identify the socioeconomic and cultural factors that influenced fertility differentials in Morocco and Burundi during their fertility transition.

Results:

our main findings showed that the total number of children ever born ranged from 0 to 17 with a mean of 2.71 ± 2.89 in Burundi and from 0 to 16 with a mean of 1.88 ± 2.80 in Morocco. In Burundi, both socioeconomic and cultural factors like rural residence adjusted incident rate ratio (AIRR) = 1.159, 95% CI 1.103 - 1.217, P=0.020), women´s illiteracy (AIRR=1.465, 95% CI 1.241- 1.729, P <0.001) and agricultural profession (AIRR=1. 332, 95% CI 1.263 - 1.401, P = 0.004), household poverty (AIRR= 1.381, 95% CI 1.223 - 1.431, p<0.001), infant mortality (AIRR= 1.602, 95% CI 1.562 - 1.643, p<0.001), early marriage (AIRR= 1.313, 95% CI 1.264 - 1.364, p<0.001), lack of knowledge of any contraceptives (AIRR= 1.263, 95% CI 1.125 - 1.310, p = 0.003) and failure to use modern contraceptives (AIRR= 1.520, 95% CI 1.487 - 1.611, p<0.001) were associated with high number of children ever born. However, in Morocco socioeconomic factors like residence place, women´s agricultural profession and household poverty were not significant. In this country, women´s illiteracy (AIRR=1.428, 95% CI 1.315 - 1.551, P <0.001), lack of access to mass media (AIRR= 1.241, 95% CI 1.108 - 1.375, p = 0.006), infant mortality (AIRR=1.222, 95%CI 1.184 - 1.361, p<0.001), early marriage (AIRR1.481, 95% CI 1.435 - 1.529, p<0.001), lack of knowledge of any contraceptives (AIRR1.508, 95% CI 1.409 - 1.613, p<0.001) and failure to use modern contraceptives (AIRR1.745, 95% CI 1.627 - 1.863, p<0.001) were associated with high fertility but with different effects than in Burundi.

Conclusion:

the evidence from this study suggests that interventions to accelerate the fertility transition processes in Burundi and many other countries with slow fertility transitions should be designed and implemented according to each country's local context.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Casamento / Fertilidade Limite: Child / Female / Humans / Infant País/Região como assunto: Africa Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Casamento / Fertilidade Limite: Child / Female / Humans / Infant País/Região como assunto: Africa Idioma: En Ano de publicação: 2023 Tipo de documento: Article