دورية أكاديمية
أعرض في EDS

Comparison of univariate and bivariate Poisson regression methods in the analysis of determinants of female schooling and fertility in Malawi.

التفاصيل البيبلوغرافية
العنوان: Comparison of univariate and bivariate Poisson regression methods in the analysis of determinants of female schooling and fertility in Malawi.
المؤلفون: Mponda E; Department of Mathematical Sciences, School of Natural and Applied Sciences, University of Malawi, Zomba, Malawi. enelessmponda@gmail.com., Kaombe TM; Department of Mathematical Sciences, School of Natural and Applied Sciences, University of Malawi, Zomba, Malawi.
المصدر: BMC public health [BMC Public Health] 2024 Aug 22; Vol. 24 (1), pp. 2285. Date of Electronic Publication: 2024 Aug 22.
نوع المنشور: Journal Article; Comparative Study
اللغة: English
بيانات الدورية: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : BioMed Central, [2001-
مواضيع طبية MeSH: Educational Status*, Humans ; Malawi ; Female ; Adult ; Poisson Distribution ; Young Adult ; Adolescent ; Middle Aged ; Fertility ; Health Surveys ; Regression Analysis
مستخلص: Recent research has established existence of a correlation between women's education and fertility, suggesting that they share similar risk factors. However, in many studies, the two variables were analysed separately, which could bias the conclusions by undermining the apparent correlations of such paired outcomes. In this article, the univariate and bivariate Poisson regression models were applied to nationally representative sample of 24,562 women from the 2015-16 Malawi demographic and health survey to examine the risk factors of women's education levels and fertility. The R software version 4.1.2 was used for the analyses. The results showed that estimates from the bivariate Poisson model were consistent with those obtained from the separate univariate Poisson models. The sizes of estimates of coefficients, their standard errors, p-values, and directions were comparable in both bivariate and univariate Poisson models. Using either the univariate or bivariate Poisson model, it was found that the age of a woman at first sexual experience, her current age, household wealth index, and contraceptive usage were significantly associated with both the woman's schooling and fertility. The study further revealed that ethnicity, religion, and region of residence impacted education level only and not fertility. Similarly, marital status and occupation impacted fertility only and not education. The study also found that higher education levels were linked to a lower number of children, with a strong negative correlation of -0.62 between the two variables. The study recommends using bivariate Poisson regression for analysing paired count response data, when there is an apparent covariance between the outcome variables. The results suggest that efforts by policymakers to achieve the desired women's sexual and reproductive health in sub-Saharan Africa should be intertwined with improving women's and girls' education attainment in the region.
(© 2024. The Author(s).)
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فهرسة مساهمة: Keywords: Bivariate Poisson regression; Determinants; Female education; Fertility; Univariate Poisson regression
تواريخ الأحداث: Date Created: 20240822 Date Completed: 20240823 Latest Revision: 20240822
رمز التحديث: 20240823
DOI: 10.1186/s12889-024-19816-9
PMID: 39174971
قاعدة البيانات: MEDLINE
الوصف
تدمد:1471-2458
DOI:10.1186/s12889-024-19816-9