Erica Sedlander, Jeffrey B Bingenheimer, Shaon Lahiri, Mary Thiongo, Peter Gichangi, Wolfgang Munar, Rajiv N Rimal
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引用次数: 15
Abstract
The belief that contraceptive use causes infertility has been documented across sub-Saharan Africa, but its quantitative association with actual contraceptive use has not been examined. We collected and analyzed sociocentric network data covering 74 percent of the population in two villages in rural Kenya. We asked respondents to nominate people from their village (their network), and then we matched their network (alters) to the individual participant (ego) to understand how their beliefs and behaviors differ. We asked about contraceptive use and level of agreement with a statement about contraceptive use causing infertility. We calculated the average nominated network contraceptive use score and the average nominated network belief score. Holding the individual belief that contraceptive use causes infertility was associated with lower odds of using contraceptive (AOR = 0.82, p = < 0.01); however, when one's own nominated network connections held this belief, the odds of using contraceptive were even lower (AOR = 0.75, p <0.01). Our findings show that this belief is associated with lower odds of contraceptive use and highlights the role that other people in one's network play in reinforcing it. Sexual and reproductive health programs should address this misperception at the individual and social network level.
使用避孕药具导致不孕症的信念在撒哈拉以南非洲各地都有记录,但其与实际避孕药具使用的定量关联尚未得到检验。我们收集并分析了以社会为中心的网络数据,覆盖了肯尼亚农村两个村庄74%的人口。我们要求受访者从他们的村庄(他们的网络)中提名一些人,然后我们将他们的网络(改变者)与个体参与者(自我)进行匹配,以了解他们的信仰和行为有何不同。我们询问了避孕药具的使用情况,以及是否同意使用避孕药具导致不孕的说法。我们计算了平均提名网络避孕使用得分和平均提名网络信念得分。认为使用避孕药导致不孕的个体与使用避孕药的几率较低相关(AOR = 0.82, p = < 0.01);然而,当一个人自己指定的网络连接持有这种信念时,使用避孕措施的几率甚至更低(AOR = 0.75, p
期刊介绍:
Studies in Family Planning publishes public health, social science, and biomedical research concerning sexual and reproductive health, fertility, and family planning, with a primary focus on developing countries. Each issue contains original research articles, reports, a commentary, book reviews, and a data section with findings for individual countries from the Demographic and Health Surveys.