南非黑人妇女婚姻破裂的语境决定因素:一项多层次分析

Ahuejere Leonard
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引用次数: 0

摘要

婚姻解体及其背景决定因素是南非政府和其他利益相关者关注的问题。情况就是如此,尤其是在育龄黑人南非妇女中。2016年南非人口健康调查(SADHS)的数据被用来研究三个层次变量(个人、家庭和社区层面的特征)在决定南非育龄黑人妇女婚姻破裂中的作用。基于社会生态(SEM)和伊斯特林(Easterlin)微观经济模型,分别在双变量和多变量水平上进行卡方检验和多水平logistic回归。采用广义线性和潜在混合模型(GLLAMM)进行多水平逻辑回归,以获得固定和随机效应。研究结果表明,研究样本中已婚的比例微不足道。曾经结婚的人数随着母亲年龄的增长而增加,而从未结婚的人数比例最高的是夸祖鲁-纳塔尔省(88.3%)。除语言、居住地类型和出生地点外,所有被测因素在不同层次模型水平上都与婚姻破裂有显著性和/或相关(p<0.05)。随机效应的结果显示,其对数概率预测婚姻破裂的变化非常小,即不显著(0.01)。该研究建议在南非围绕该问题制定的所有方案和政策中考虑到这些调查结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CONTEXTUAL DETERMINANTS OF MARITAL DISSOLUTION AMONG BLACK SOUTH AFRICAN WOMEN: A MULTILEVEL ANALYSIS
Marital dissolution and their contextual determinants are concerns to the government and other stakeholders in South Africa. These are so, especially among the Black South African women of childbearing age. The South African Demographic Health Survey (SADHS) 2016 data was used to examine the role of three hierarchical layers of variables (individual, household and community level characteristics) in determining marital dissolution among Black South African women of childbearing age in South Africa. Based on the Social-ecological (SEM) and the Easterlin’s micro-economic models, the chi-squared test and multilevel logistic regression were performed at the bivariate and multivariate levels respectively. The multilevel logistic regressions were performed using the generalised linear and latent mixed model (GLLAMM) to obtain fixed and random effects. Findings suggest that an insignificant proportion of the study sample were ever married. The level of those ever married increased with mother’s age, while the highest proportion of those never married reside in KwaZulu-Natal (88,3%) province. With the exception of language, type of place of residence and place of delivery, all tested factors were found to be significant and/or associated with marital dissolution at different hierarchical model levels (p<0.05). Results of random effect revealed a very small, i.e. insignificant (0.01) variations in their log odds of predicting marital dissolution. The study recommends that these findings be considered in all programme and policy developments around the issue in South Africa.
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