Badr Hanan A, Zauszniewski Jaclene A
Case Western Reserve University, Frances Payne Bolton School of Nursing, 10900 Euclid Avenue, Cleveland, OH 44106-4904, USA; King Abdul Aziz University, School of Nursing, P.O. Box 80200, Jeddah 21589, Saudi Arabia.
Case Western Reserve University, Frances Payne Bolton School of Nursing, 2120 Cornell Road, Cleveland, OH 44106, USA.
Appl Nurs Res. 2017 Aug;36:122-127. doi: 10.1016/j.apnr.2017.06.010. Epub 2017 Jun 19.
Nearly 64% of new mothers are affected by fatigue during the postpartum period, making it the most common problem that a woman faces as she adapts to motherhood. Postpartum fatigue can lead to serious negative effects on the mother's health and the newborn's development and interfere with mother-infant interaction. The aim of this meta-analysis was to identify predictive factors of postpartum fatigue and to document the magnitude of their effects using effect sizes.
We used two search engines, PubMed and Google Scholar, to identify studies that met three inclusion criteria: (a) the article was written in English, (b) the article studied the predictive factors of postpartum fatigue, and (c) the article included information about the validity and reliability of the instruments used in the research. Nine articles met these inclusion criteria. The direction and strength of correlation coefficients between predictive factors and postpartum fatigue were examined across the studies to determine their effect sizes.
Measurement of predictor variables occurred from 3days to 6months postpartum. Correlations reported between predictive factors and postpartum fatigue were as follows: small effect size (r=0.10 to 0.29) for education level, age, postpartum hemorrhage, infection, and child care difficulties; medium effect size (r=0.30 to 0.49) for physiological illness, low ferritin level, low hemoglobin level, sleeping problems, stress and anxiety, and breastfeeding problems; and large effect size (r=0.50+) for depression.
Postpartum fatigue is a common condition that can lead to serious health problems for a new mother and her newborn. Therefore, increased knowledge concerning factors that influence the onset of postpartum fatigue is needed for early identification of new mothers who may be at risk. Appropriate treatments, interventions, information, and support can then be initiated to prevent or minimize the postpartum fatigue.
近64%的初产妇在产后会受到疲劳的影响,这使其成为女性在适应母亲角色过程中面临的最常见问题。产后疲劳会对母亲的健康和新生儿的发育产生严重负面影响,并干扰母婴互动。本荟萃分析的目的是确定产后疲劳的预测因素,并使用效应量记录其影响程度。
我们使用两个搜索引擎,即PubMed和谷歌学术,来识别符合三项纳入标准的研究:(a)文章用英文撰写;(b)文章研究产后疲劳的预测因素;(c)文章包含有关研究中所用工具的有效性和可靠性的信息。九篇文章符合这些纳入标准。在各项研究中检查预测因素与产后疲劳之间相关系数的方向和强度,以确定其效应量。
预测变量的测量在产后3天至6个月进行。预测因素与产后疲劳之间报告的相关性如下:教育水平、年龄、产后出血、感染和育儿困难的效应量较小(r = 0.10至0.29);生理疾病、低铁蛋白水平、低血红蛋白水平、睡眠问题、压力和焦虑以及母乳喂养问题的效应量中等(r = 0.30至0.49);抑郁症的效应量较大(r = 0.50及以上)。
产后疲劳是一种常见状况,会给初产妇及其新生儿带来严重的健康问题。因此,需要更多关于影响产后疲劳发生因素的知识,以便早期识别可能有风险的初产妇。然后可以启动适当的治疗、干预、信息和支持措施,以预防或尽量减少产后疲劳。