Mbelle N, Mabaso M, Setswe G, Sifunda S
HIV/AIDS, STIs and TB (HAST) Programme, Human Sciences Research Council, Pretoria, South Africa.
S Afr Med J. 2018 May 25;108(6):511-516. doi: 10.7196/SAMJ.2018.v108i6.12744.
Unplanned pregnancies among college/tertiary female students pose a serious public health concern in South Africa (SA) and are associated with adverse health and social outcomes that impact negatively on educational progress and future career prospects.
To examine the potential predictors of unplanned pregnancy among female students at Technical and Vocational Education and Training (TVET) colleges in SA.
This analysis used data drawn from the 2014 Higher Education and Training HIV and AIDS survey, which was a nationally representative survey of TVET college students in SA. Associations between unplanned pregnancy and the explanatory variables were assessed using bivariate analysis. Multivariate logistic regression analysis was used to identify the effect of several independent predictors of unplanned pregnancy.
Of 1 002 female students who responded to the question on unplanned pregnancy, 74.6% reported having had an unplanned pregnancy. Predictors significantly associated with a reduced likelihood of unplanned pregnancy among female TVET students included living with a husband (odds ratio (OR) 0.28, 95% confidence interval (CI) 0.13 - 0.62; p=0.002), having two (OR 0.45, 95% CI 0.23 - 0.88; p=0.003) or three (OR 0.07, 95% CI 0.01 - 0.39; p=0.003) previous pregnancies, and not having had an abortion (OR 0.16, 95% CI 0.04 - 0.62; p=0.008).
The high level of unplanned pregnancies is indicative of the state of women's reproductive health services at SA TVET colleges. The findings suggest that certain groups of female students are at increased risk of unplanned pregnancy and would benefit from targeted family planning interventions tailored to their needs.
在南非,大专院校女学生意外怀孕是一个严重的公共卫生问题,与不良健康和社会后果相关,对学业进展和未来职业前景产生负面影响。
研究南非技术与职业教育培训(TVET)院校女学生意外怀孕的潜在预测因素。
本分析使用了2014年高等教育与培训艾滋病毒和艾滋病调查的数据,该调查是对南非TVET院校学生的全国代表性调查。使用双变量分析评估意外怀孕与解释变量之间的关联。多变量逻辑回归分析用于确定意外怀孕的几个独立预测因素的影响。
在1002名回答了意外怀孕问题的女学生中,74.6%报告有过意外怀孕。与TVET院校女学生意外怀孕可能性降低显著相关的预测因素包括与丈夫同住(优势比(OR)0.28,95%置信区间(CI)0.13 - 0.62;p = 0.002)、有过两次(OR 0.45,95%CI 0.23 - 0.88;p = 0.003)或三次(OR 0.07,95%CI 0.01 - 0.39;p = 0.003)既往怀孕史,以及未做过人工流产(OR 0.16,95%CI 0.04 - 0.62;p = 0.008)。
意外怀孕的高发生率表明南非TVET院校的妇女生殖健康服务状况。研究结果表明,某些女学生群体意外怀孕风险增加,将受益于根据其需求量身定制的针对性计划生育干预措施。