Background <p>Women’s occupation and labour force participation are assumed to lower fertility levels as they compete with women’s household obligations. While research has demonstrated this to be true in industrialized nations, developing countries, such as The Gambia, require further investigation.</p> Methods <p>Secondary data extracted from the Gambia Demographic Health Survey (GDHS) 2019–2020 were used. A weighted sample of 11,865 women of reproductive age (15–49 years) was included in the study. At the bivariate level, one-way ANOVA and t-tests were used to examine the relationship between the dependent variable, children ever born, and the independent variable, women’s occupation, as well as each control variable. Multivariable analysis, comprising Poisson regression models, was used to assess the impact of the independent variable on the dependent variable while controlling for confounders.</p> Results <p>The analysis revealed that women’s occupational type was significantly associated with fertility in The Gambia. After adjustment for socio-demographic characteristics, women in professional, technical, managerial, and clerical occupations had approximately 12.8% fewer children than non-working women (IRR = 0.872, <i>p</i> &lt; 0.01), while women in agricultural occupations had approximately 6.3% more children (IRR = 1.063, <i>p</i> &lt; 0.01). Age, education, wealth status, contraceptive use, religion, and marital status were also significantly associated with children ever born.</p> Conclusion <p>The findings show that measures aimed at lowering fertility should be multifaceted, focusing on variables that were found to be significant in this study. These could be effective tools for empowering Gambian women and lowering fertility. There is also a need for further primary data-based research into the relationship.</p>

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The relationship between women’s occupation and fertility outcomes in The Gambia, 2019–2020

  • Baboucarr Jatta,
  • Adriana A. E. Biney,
  • Joseph W. Jatta

摘要

Background

Women’s occupation and labour force participation are assumed to lower fertility levels as they compete with women’s household obligations. While research has demonstrated this to be true in industrialized nations, developing countries, such as The Gambia, require further investigation.

Methods

Secondary data extracted from the Gambia Demographic Health Survey (GDHS) 2019–2020 were used. A weighted sample of 11,865 women of reproductive age (15–49 years) was included in the study. At the bivariate level, one-way ANOVA and t-tests were used to examine the relationship between the dependent variable, children ever born, and the independent variable, women’s occupation, as well as each control variable. Multivariable analysis, comprising Poisson regression models, was used to assess the impact of the independent variable on the dependent variable while controlling for confounders.

Results

The analysis revealed that women’s occupational type was significantly associated with fertility in The Gambia. After adjustment for socio-demographic characteristics, women in professional, technical, managerial, and clerical occupations had approximately 12.8% fewer children than non-working women (IRR = 0.872, p < 0.01), while women in agricultural occupations had approximately 6.3% more children (IRR = 1.063, p < 0.01). Age, education, wealth status, contraceptive use, religion, and marital status were also significantly associated with children ever born.

Conclusion

The findings show that measures aimed at lowering fertility should be multifaceted, focusing on variables that were found to be significant in this study. These could be effective tools for empowering Gambian women and lowering fertility. There is also a need for further primary data-based research into the relationship.