加纳孕妇流产经历预测因素的多水平分析:对全国代表性数据的进一步分析

D. Klu
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摘要

背景:妇女因死产、流产和堕胎而失去妊娠的经历对产妇健康产生负面影响,导致产妇死亡并给卫生系统带来压力。因此,这项研究试图检验加纳有史孕妇中与流产经历相关的个人、邻近和家庭因素。方法:本研究的数据来自2014年9月初至12月中旬进行的2014年加纳人口与健康调查(GDHS)。加权样本包括2321名15-49岁的孕妇。数据使用SPSS 25版进行分析,使用描述性和多水平逻辑回归模型。结果:研究发现,在加纳,48%的孕妇经历过流产。多水平回归分析显示,25-34岁和35-49岁的孕妇流产的可能性更高。受过中等/高等教育的孕妇流产的可能性较小。居住在城市地区的孕妇流产的几率较低。目前已婚和以前已婚的有史孕妇比从未结婚的妇女更有可能经历流产。有过改善饮用水源的孕妇失去妊娠的几率更高。有趣的是,参加过1-3次和4次或更多次产前护理服务的孕妇更有可能经历流产。结论:个人、家庭和邻近因素,如孕妇的年龄、教育水平、居住地、宗教、婚姻状况、职业类型、家庭饮用水来源和多次产前检查,是加纳孕妇流产经历的重要预测因素。在加强现有计划和制定新的干预措施以减少妊娠损失和确保安全孕产时,应考虑这些因素。
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Multilevel analysis of factors predicting pregnancy loss experiences among pregnant women in Ghana: a further analysis of nationally representative data
Background: Pregnancy loss experiences due to stillbirths, miscarriages, and abortion among women have a negative effect on maternal health, leading to maternal mortality and strain on the health system. This study, therefore, seeks to examine the individual, proximate, and household factors associated with pregnancy loss experiences among ever pregnant women in Ghana. Methods: Data for this study were obtained from the 2014 Ghana Demographic and Health Survey (GDHS) conducted between early September and mid-December 2014. The weighted sample comprised 2321 ever pregnant women aged 15–49 years. Data were analyzed with SPSS version 25 using both descriptive and multilevel logistic regression modelling. Results: The study found that 48% of ever pregnant women have experienced pregnancy loss in Ghana. The multilevel regression analysis shows that ever pregnant women aged 25–34 years and 35–49 years had a higher likelihood of losing pregnancy. Pregnant women with secondary/higher education were less likely to lose their pregnancy. pregnant women who reside in urban areas has lower odds of pregnancy loss. Ever pregnant women who were currently married and those who were formerly married were more likely to experience pregnancy loss than never married women. Ever pregnant women who had access to an improved source of drinking water had a higher probability of losing their pregnancy. Interestingly, ever pregnant women who attended antenatal care services 1–3 times and 4 or more times were more likely to experience pregnancy loss. Conclusion: Individual, household, and proximate factors, such as pregnant women’s age, educational level, place of residence, religion, marital status, occupational type, household source of drinking water, and a number of antenatal visits, are strong significant predictors of pregnancy loss experiences among pregnant women in Ghana. These factors should be considered in strengthening existing programs and developing new interventions to decrease pregnancy loss and ensure safe motherhood.
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