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Factors influencing unmet need for family planning among Ghanaian married/union women: a multinomial mixed effects logistic regression modelling approach

机译:影响加纳已婚/工会妇女计划生育需求未得到满足的因素:多项混合效应对数回归建模方法

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Background Unmet need for family planning is high (30%) in Ghana. Reducing unmet need for family planning will reduce the high levels of unintended pregnancies, unsafe abortions, maternal and neonatal morbidity and mortality. The purpose of this study was to examine factors that are associated with unmet need for family planning to help scale up the uptake of family planning services in Ghana. Methods This cross sectional descriptive and inferential study involved secondary data analysis of women in the reproductive age (15–49?years) from the Ghana Demographic and Health Survey 2014 data. The outcome variable was unmet need for family planning which was categorized into three as no unmet need, unmet need for limiting and unmet need for spacing. Chi-squared test statistic and bivariate multilevel multinomial mixed effects logistic regression model were used to determine significant variables which were included for the multivariable multilevel multinomial mixed effects logistic regression model. All significant variables ( p ?0.05) based on the bivariate analysis were included in the multinomial mixed effects logistic regression model via model building approach. Results Women who fear contraceptive side effects were about 2.94 (95% CI, 2.28, 3.80) and 2.58 (95% CI, 2.05, 3.24) times more likely to have an unmet need for limiting and spacing respectively compared to those who do not fear side effects. Respondents’ age was a very significant predictor of unmet need for family planning. There was very high predictive probability among 45–49?year group (0.86) compared to the 15–19?year group (0.02) for limiting. The marginal predictive probability for spacing changed significantly from 0.74 to 0.04 as age changed from 15 to 19 to 45–49?years. Infrequent sexual intercourse, opposition from partners, socio-economic (wealth index, respondents educational level, respondents and partner’s occupation) and cultural (religion and ethnicity) were all significant determinants of both unmet need for limiting and spacing. Conclusions This study reveals that fear of side effect, infrequent sex, age, ethnicity, partner’s education and region were the most highly significant predictors of both limiting and spacing. These factors must be considered in trying to meet the unmet need for family planning.
机译:背景在加纳,未满足的计划生育需求很高(30%)。减少计划生育未得到满足的需求,将减少意外怀孕,不安全流产,孕产妇和新生儿发病率和死亡率的高水平。这项研究的目的是研究与未满足计划生育需求有关的因素,以帮助扩大加纳对计划生育服务的使用。方法该横断面描述性和推论性研究涉及根据2014年加纳人口与健康调查数据对育龄妇女(15-49岁)进行的辅助数据分析。结果变量是计划生育的未满足需求,该变量分为三类:未满足的需求,限制的未满足和间隔的未满足。卡方检验统计量和双变量多级多项式混合效应逻辑回归模型用于确定显着变量,该变量已包含在多变量多级多项式混合效应逻辑回归模型中。通过模型建立方法,将基于双变量分析的所有显着变量(p <?0.05)包括在多项混合效应Logistic回归模型中。结果与不害怕避孕的女性相比,担心避孕副作用的女性分别有2.94(95%CI,2.28,3.80)和2.58(95%CI,2.05,3.24)的未满足限制和间隔需求的可能性分别高出两倍副作用。受访者的年龄是未满足计划生育需求的重要预测指标。与15-19岁年龄组(0.02)相比,45-49岁年龄组(0.86)的预测概率非常高。随着年龄从15岁变为19岁到45-49岁,边际间距的预测概率从0.74到0.04显着变化。不频繁的性交,伴侣的反对,社会经济(财富指数,受访者的教育水平,受访者和伴侣的职业)和文化(宗教和种族)都是限制和间隔需求未得到满足的重要决定因素。结论该研究表明,对副作用,不常见的性别,年龄,种族,伴侣的受教育程度和区域的恐惧是限制和间隔的最重要预测指标。在满足未满足的计划生育需求时必须考虑这些因素。

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