Suppr超能文献

与女性初婚年龄相关的因素:利用巴基斯坦人口与健康调查所有波次数据的分析

Factors associated with female age at first marriage: An analysis using all waves of the Pakistan Demographic and Health Survey.

机构信息

Department of Statistics, Lahore College for Women University, Lahore, Pakistan.

Department of Statistics, Government College University, Lahore, Pakistan.

出版信息

PLoS One. 2022 Mar 15;17(3):e0264505. doi: 10.1371/journal.pone.0264505. eCollection 2022.

Abstract

In conventional Muslim societies, fertility occurs within the marital union. Therefore, fertility outcomes depend on females' age at first marriage (AFM). The present study explores the pattern of AFM in Pakistan, analyses of which are scarce in the literature. We aim to identify the factors associated with the AFM among currently married women in Pakistan. Demographic factors like birth cohort, and socioeconomic and cultural factors such as province and place of residence, education level, whether or not a woman had ever worked before marriage, ethnicity, and husband's education were studied to explore the pattern of female AFM. Data were taken from the Pakistan Demographic and Health Surveys (PDHSs) of 2012-13 and 2017-18, and a comparison was made with the findings from the earlier PDHSs of 1990-91 and 2006-07. The analysis concentrates on women born between 1941 and 1992, aged between 25 and 49 years during the data collection periods. One-way analysis of variance (ANOVA) was used to assess the difference between the mean AFM for different sub-groups of the population. To identify the covariates that are associated with AFM multiple linear regression models were estimated. We observed a gradually increasing trend in female AFM over time among women born after 1950. The ANOVA results revealed that birth cohort, province, and place of residence, female education level, whether or not a woman had ever worked before marriage, ethnicity, and husband's education were significantly associated with AFM (p-values < 0.05). In a multiple regression model, we found that the birth cohort significantly affects the AFM (p-value < 0.05). Having worked before marriage is associated with a statistically significant one-year rise in the AFM. Interestingly, all other ethnic groups have lower AFM compared with women whose mother language was Punjabi. Education has a highly significant effect on the AFM: the regression results revealed that uneducated females have a mean AFM 4 to 5 years lower than highly educated women. The results also revealed that educated men marry older women as compared to uneducated men. We conclude that the education of females and even males in Pakistan could lead to a rise in the female AFM.

摘要

在传统的穆斯林社会中,生育发生在婚姻关系内。因此,生育结果取决于女性的初婚年龄(AFM)。本研究探讨了巴基斯坦 AFM 的模式,而文献中对此分析很少。我们的目的是确定巴基斯坦已婚女性 AFM 的相关因素。我们研究了人口因素,如出生队列,以及社会经济和文化因素,如省份和居住地、教育水平、女性婚前是否工作过、民族和丈夫的教育水平,以探讨女性 AFM 的模式。数据来自 2012-13 年和 2017-18 年的巴基斯坦人口与健康调查(PDHS),并与 1990-91 年和 2006-07 年的早期 PDHS 进行了比较。分析集中在 1941 年至 1992 年出生、数据收集期间年龄在 25 至 49 岁之间的女性。使用单因素方差分析(ANOVA)来评估人口不同亚组之间平均 AFM 的差异。为了确定与 AFM 相关的协变量,我们估计了多元线性回归模型。我们观察到,在 1950 年后出生的女性中,女性 AFM 随时间呈逐渐上升趋势。ANOVA 结果表明,出生队列、省份和居住地、女性教育水平、女性婚前是否工作过、民族和丈夫的教育水平与 AFM 显著相关(p 值<0.05)。在多元回归模型中,我们发现出生队列对 AFM 有显著影响(p 值<0.05)。婚前工作与 AFM 平均增加一年呈统计学显著相关。有趣的是,与母语为旁遮普语的女性相比,所有其他民族的 AFM 都较低。教育对 AFM 有显著影响:回归结果表明,未受教育的女性的平均 AFM 比受过高等教育的女性低 4 至 5 年。结果还表明,受过教育的男性与未受教育的男性相比,会与年龄较大的女性结婚。我们得出的结论是,巴基斯坦女性甚至男性的教育水平提高可能导致女性 AFM 上升。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007e/8923498/ea7c61fe0c74/pone.0264505.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验