埃基蒂州妇女对母乳喂养用药态度的预测因素

E. O. Adeoye, Fasanmi Samuel Sunday
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引用次数: 0

摘要

这项研究调查了埃基蒂州妇女在母乳喂养中对药物使用态度的预测因素。这项研究旨在审查年龄、家庭压力、就业状况和社会经济地位等社会因素如何预测埃基蒂州妇女对母乳喂养中用药的态度。为这项研究抽样了埃基蒂州的225名妇女的意见。母乳喂养用药态度问卷采用专业设计,具有相关的心理测量属性。据推测,年龄、家庭压力、就业状况和社会经济地位等社会因素将显著、独立和共同地预测埃基蒂州妇女对母乳喂养中用药的态度。结果显示,社会因素会显著联合预测埃基蒂州妇女母乳喂养中用药态度[F (5,194) = .6.543;P < 0.05]。进一步发现,年龄(β = 0.420, t = 3.395;P < 0.05)、家庭压力(β = 0.401, t = 3.368;P < 0.05),就业状况(β = -。381, t = -2.960;P < 0.05)、社会经济地位(β = 0.360, t = 2.526;p < 0.05)能够独立预测埃基蒂州妇女在母乳喂养中对药物使用的态度。据建议,保健专业人员需要积极寻求有关妇女母乳喂养状况的信息,然后在开处方之前考虑药物造成损害的风险和疾病本身的影响,以及不母乳喂养对妇女和婴儿的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictors of Attitude towards Medication Use in Breastfeeding among Women in Ekiti State
This study examined the predictors of attitude towards medication use in breastfeeding among women in Ekiti State. The study aimed at examining how social factors of age, family pressure, employment status and socioeconomic status would predict attitude towards medication use in breastfeeding among women in Ekiti State. Opinions of Two hundred and five women resident in Ekiti State sampled for the study. Questionnaire on attitude towards medication use in breastfeeding was professionally designed with relevant psychometric properties. It was hypothesized that social factors age, family pressure, employment status and socioeconomic status would significantly, independently and jointly predict attitude towards medication use in breastfeeding among women in Ekiti State. Results revealed that social factors would significantly jointly predict attitude towards medication use in breastfeeding among women in Ekiti State [F (5, 194) = .6.543; p < .05]. It was further found out that age (β = .420, t = 3.395; p < .05), family pressure (β = .401, t = 3.368; p < .05), employment status (β = -.381, t = -2.960; p < .05), and social economic status (β = .360, t = 2.526; p < .05) would significantly independently predict attitude towards medication use in breastfeeding among women in Ekiti State. It was recommended that health professionals need to actively seek information about the breastfeeding status of women, then consider the risk of damage from the medications and the effects of the illness itself, as well as the risks of not breastfeeding, on both the woman and the baby prior to prescribing.
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