Ali Md Hazrat, Koasha Farjana Afrin, Islam Md Rakibul, Mim Hafiza Akter, Ali Md Yusuf
Department of Statistics Mawlana Bhashani Science and Technology University Bangladesh.
Health Sci Rep. 2025 Sep 12;8(9):e71234. doi: 10.1002/hsr2.71234. eCollection 2025 Sep.
Getting married young is a common system in developing nations, and it has detrimental effects on the health of the women involved as well as the unborn children. This study aims to identify the key factors affecting early marriage among Bangladeshi women using BDHS-2022 data, focusing on region, education, residence type, employment status, and religion by considering the best-fit model among Cox proportional hazard (Cox-PH) and various accelerated failure time (AFT) survival models.
This study used survival analysis techniques, such as Cox proportional hazard model and accelerated failure time (AFT) models, using data from the Bangladesh Demographic and Health Survey 2022 (BDHS-2022). The Bayesian Information Criterion (BIC) and Akaike Information Criterion (AIC) were used to choose the models, and based on these criteria, the log logistic AFT model was identified as the best-fitting model.
The women who had an early marriage have a much higher frequency (65.9%) than those who did not have early marriage (34.1%). The log logistic AFT model identified several significant factors influencing early marriage. The hazard ratio of getting early marriage of respondents with primary (HR: 1.017, < 0.05) and secondary education (HR: 1.024, < 0.01) had a higher risk compared to those with no education, while the same results are shown in the respondent's husband's education. Respondent's currently working had a lower risk of getting married young (HR: 0.988, < 0.01). Additionally, rural residence was associated with a higher risk (HR: 1.019, < 0.001) than urban residence. These results emphasize that the educational level of both male and female, living area, and employment status are influencing factors that affect early marriage.
Early marriage in Bangladesh is influenced by socioeconomic and demographic factors, emphasizing the need for targeted interventions focusing on education, employment, and regional disparities to delay marriage and improve women's social outcomes.
早婚在发展中国家是一种常见现象，它会对相关女性以及未出生孩子的健康产生不利影响。本研究旨在利用2022年孟加拉国人口与健康调查（BDHS - 2022）数据，通过考虑Cox比例风险（Cox - PH）模型和各种加速失效时间（AFT）生存模型中的最佳拟合模型，来确定影响孟加拉国女性早婚的关键因素，重点关注地区、教育程度、居住类型、就业状况和宗教信仰。
本研究使用了生存分析技术，如Cox比例风险模型和加速失效时间（AFT）模型，采用了来自2022年孟加拉国人口与健康调查（BDHS - 2022）的数据。使用贝叶斯信息准则（BIC）和赤池信息准则（AIC）来选择模型，基于这些标准，对数逻辑AFT模型被确定为最佳拟合模型。
早婚女性的比例（65.9%）远高于非早婚女性（34.1%）。对数逻辑AFT模型确定了几个影响早婚的重要因素。与未受过教育的受访者相比，接受小学教育（风险比：1.017，<0.05）和中学教育（风险比：1.024，<0.01）的受访者早婚风险更高，受访者丈夫的教育程度也呈现相同结果。目前有工作的受访者早婚风险较低（风险比：0.988，<0.01）。此外，农村居住者早婚风险高于城市居住者（风险比：1.019，<0.001）。这些结果强调，男女的教育水平、居住地区和就业状况是影响早婚的因素。
孟加拉国的早婚受到社会经济和人口因素的影响，这凸显了有必要采取针对性干预措施，重点关注教育、就业和地区差异，以推迟结婚并改善女性的社会状况。
