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Early Marriage and Less Education as Independent Predictors for High Fertility in Yemen


Amat Al-Khaleq O. Mehrass*, Intisar A. Ahmed, Abdullatif D. Ali and Abdulelah H. Al-Adhroey

Background: It is widely acknowledged that demographic variables have a major effect on high fertility, which classified as five or more (≥5) births per woman. In Yemen, the association of gender-sensitive demographic variables with high fertility is inadequately reported. Aim: This study was aimed to investigate the independent predictors of ≥ 5 living children among Yemeni mothers, according to their age at first marriage, residence, educational status, and occupation. Subjects and Methods: A cross-sectional study of a pretested semi-structured questionnaire was carried out among 400 mothers visiting the reproductive health centres in Dhamar governorate during the study time. Prevalence of ≥ 5 living children were examined among the study subjected demographic groups. Estimates of prevalence risk (PR) for predicting high fertility were developed using Poisson regression model incorporating the robust estimator and Log link function. Results: Outcomes of the multivariate model indicated that 10 – 14 and 15 – 19 ages at first marriage, illiteracy, and simple literacy were confirmed as independent predictors for high fertility level. Place of residence and occupation, however, emerged as dependent predictors. Conclusion: Early marriage and less education are the major factors underlying high fertility among the study population. These findings further confirm the need for serious interventions towards the community’s attitude devastating girls’ marriage and education.

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Annals of Medical and Health Sciences Research The Annals of Medical and Health Sciences Research is a bi-monthly multidisciplinary medical journal.
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