Prevalence and Predictive Factors of Induced Abortion among Women in Ghana: Data Analysis of Maternal Health Survey, 2017.

A. Alhassan, J. Anyinzaam-Adolipore
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Abstract

Induced abortion is a common practice for women worldwide; nevertheless, the practice of unsafe abortion rate in Ghana is in height and is a constant issue of public health concern. Objective: The main aim of the study was to identify predictive factors associated with induced abortion among women in Ghana. Methods: Ghana Maternal Health Survey data was used for this study to do an analytic cross-section study. Data analysis was done using SPSS version 20. The association between dependent and independent variables was explored using chi-square and logistic regression. Statistical significance was set at p < 0.05. Results: In this study, the prevalence of induced among the respondents was 14.8%, the prevalence was higher (25.5%) in Greater Accra Region and lower (3.2%) in Northern Region. All under-studied independent variables through chi-square analysis were associated with induced abortion with significance. However, in advance analysis through binary logistics regression model predictor factors of induced abortion in Ghana identified were; the age of the respondents’, region of orientation, religious affiliation, marital status, ethnicity, exposure to mobile phone and newspaper, and age at first sex. The logistic regression model appropriately explained the outcome variable (induced abortion) since the Hosmer-Lemeshow goodness-of-fit test p-value was more than 0.05 (X2 (8) = 4.428, P = .817). Conclusion: The prevalence of abortion in Ghana is still high, hence the need for increase public education on contraceptive use and the adverse effects of abortion through the use of modern media can go a long way to reduce the incidence of induced abortion in Ghana.
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加纳妇女人工流产的患病率和预测因素:2017年孕产妇健康调查数据分析。
人工流产是全世界妇女的常见做法;然而,加纳的不安全堕胎率非常高,一直是公共卫生关注的问题。目的:本研究的主要目的是确定加纳妇女人工流产的预测因素。方法:本研究采用加纳孕产妇健康调查数据进行横断面分析研究。数据分析采用SPSS版本20。使用卡方和逻辑回归来探讨因变量和自变量之间的相关性。统计学显著性设定为p<0.05。结果:在本研究中,受访者中诱发的患病率为14.8%,大阿克拉地区的患病率较高(25.5%),北部地区较低(3.2%)。通过卡方分析,所有研究不足的自变量均与人工流产相关,具有显著性。然而,通过二元物流回归模型预先分析,加纳人工流产的预测因素有:;受访者的年龄、取向地区、宗教信仰、婚姻状况、种族、接触手机和报纸的情况以及初性年龄。逻辑回归模型适当地解释了结果变量(人工流产),因为Hosmer-Lemeshow拟合优度检验p值大于0.05(X2(8)=4.428,p=.817)。结论:加纳的堕胎率仍然很高,因此,需要通过使用现代媒体,加强关于避孕药具使用和堕胎不良影响的公共教育,这将大大有助于降低加纳人工流产的发生率。
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