Socioeconomic factors associated with the number of children ever born by married Ghanaian females: a cross-sectional analysis

Boateng, Dennis; Oppong, Felix Boakye; Senkyire, Ephraim Kumi; Logo, Divine Darlington

doi:10.1136/bmjopen-2022-067348

Cited by 5 publications

(3 citation statements)

References 31 publications

(61 reference statements)

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“…In sub-Saharan Africa, Kebede et al (2022) reported that women with a low level of education had the highest desired fertility. Boateng et al (2023) showed that in Ghana, married women with higher levels of education had fewer children. Zenebe-Gebre (2020) revealed that education has a negative effect on female fertility in Malawi.…”

Section: Women's Educationmentioning

confidence: 99%

The determinants of household fertility decisions in Burkina Faso

NANEMA,

POKOU,

ZAHONOGO

2024

Preprint

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This paper examines the factors that influence household fertility decisions in Burkina Faso. A negative binomial regression model is used with survey data from the 2021 Demographic and Health Surveys (DHS), collected by National Institute of Statistics and Demography (INSD). The analysis reveals the following key findings. Education is a significant determinant of household fertility decisions, with varying effects depending on the area of residence. Specifically, education has a negative impact on fertility decisions in urban areas. Women's decision-making power within the household is negatively correlated with their fertility intentions. Women who marry before the age of 18 are likely to have fewer children. The household standard of living has a significant impact on fertility decisions. Women from high-income households tend to have greater fertility intentions than those from poor households. The use of contraceptive methods reduces household fertility. Therefore, fertility control programmes should focus on educating women, increasing their bargaining power, and disseminating contraceptive methods. JEL codes: D1; J13; J16; R20

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Section: Women's Educationmentioning

confidence: 99%

The determinants of household fertility decisions in Burkina Faso

NANEMA,

POKOU,

ZAHONOGO

2024

Preprint

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“…Marriage age is not only been linked with the declined fertility in Europe and North America, but has been identified as one explanations to the high fertility levels observed In Africa and Asia where early marriages is still a common practice [ 15 ]. In the developing world, the main purpose of marriage is to have children which leads to early childbearing in women who marries at a younger ages [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Trends and factors associated with declining lifetime fertility among married women in Kenya between 2003 and 2014: an analysis of Kenya demographic health surveys

et al. 2023

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Background Globally, fertility has declined in the last three decades. In sub-Saharan Africa Including Kenya, this decline started more recent and at a slower pace compared to other regions. Despite a significant fertility decline in Kenya, there are disparities in intra- and interregional fertility. Reduction in lifetime fertility has health benefits for both the mother and child, thus it is important to improve women and children health outcomes associated with high fertility. The study, therefore evaluated the factors associate with change in lifetime fertility among married women of reproductive age in Kenya between 2003 and 2014. Methods The study used the Kenya Demographic and Health Survey (KDHS) datasets of 2003, 2008 and 2014. Analysis of variance (ANOVA) was used to calculate the mean number of children ever born and to assess the change in fertility across different factors. Poisson regression model with robust standard errors was used to study the relationship between number of children ever born (lifetime fertility) and independent variables. A Poisson-based multivariate decomposition for the nonlinear response model was performed to identify and quantify the contribution of demographic, socioeconomic and reproductive correlates, to the change in lifetime fertility between 2003 and 2014. Results The study included 3,917, 4,002, and 7,332 weighted samples of women of reproductive age in 2003, 2008, and 2014, respectively. The mean number of children born declined from 3.8 (95% CI: 3.6–3.9) in 2003 to 3.5 (95% CI: 3.4–-3.7) in 2008 and 3.4 (95% CI: 3.3–3.4) in 2014 (p = 0.001). The expected number of children reduced with the age at first sexual intercourse, the age at first marriage across the survey years, and household wealth index. Women who had lost one or more children in the past were likely to have increased number of children. The changes in the effects of women’s characteristics between the surveys explained 96.4% of the decline. The main contributors to the change in lifetime fertility was the different in women level of education. Conclusion The lifetime fertility declined by one-tenth between 2003 and 2014; majorly as a result of the effects of characteristics of women in terms of level of education. These highlights a need to implement education policies that promotes women education focuses on gender equality and women empowerment. Continuous strengthening of the healthcare systems (access to quality antenatal care, skilled delivery, and postpartum care) to reduce child mortality is essential.

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“…Besides education, other influential variables of AFM are wealth index, religion, region of stay, and husband's education (Zahangir & Nahar, 2021). Boateng et al (2023) highlighted the significance of marriage to fertility in Ghana. Singh et al (2023) highlighted the necessity of raising the legal age of marriage for females from 18 years old.…”

Section: Introductionmentioning

confidence: 99%

Age at First Marriage of Nepalese Women: A Statistical Analysis (Status, Differential, Determinants, and Distributional Pattern)

Gaire,

Gurung,

Bhusal

2023

JPSS

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Marriage is a legal union between two individuals. Marital status is an essential demographic variable affecting the fertility rate. Marriage is necessary for the fertility life of women in countries where fertility outside the marriage is not accepted socially. This paper presents Nepalese women’s status, differential, and determination of age at first marriage (AFM). Some probability distributions were used to analyze the distributional pattern of AFM. The Skew Log-Logistic distribution is found to fit the AFM data of Nepalese women better. The cumulative probabilities of fitted results were used to construct the marriage life table. The average waiting time for marriage for Nepalese women is estimated at 17.768 years. The probability of marrying or not marrying at a particular age is also calculated. Each of these findings provides information about the trends and patterns of marital behavior within a specific population. Besides demography, the analysis of AFM could have significant implications for various other fields, such as sociology, economics, and public health. These findings show the necessity of education campaigns opposing child marriage and early marriage. These findings can create marital policies and initiatives for the specific subpopulations with the lowest mean AFM.

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Socioeconomic factors associated with the number of children ever born by married Ghanaian females: a cross-sectional analysis

Cited by 5 publications

References 31 publications

The determinants of household fertility decisions in Burkina Faso

The determinants of household fertility decisions in Burkina Faso

Trends and factors associated with declining lifetime fertility among married women in Kenya between 2003 and 2014: an analysis of Kenya demographic health surveys

Age at First Marriage of Nepalese Women: A Statistical Analysis (Status, Differential, Determinants, and Distributional Pattern)

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