Aksoy Mehtap Uzun, Şahin Eda Şimşek, Gangal Aliye Doğan, Sözbir Şengül Yaman, Erenel Ayten Şenturk
Faculty of Nursing, Gazi University, Ankara, Türkiye.
Nursing Department, Faculty of Health Sciences, Kocaeli University, Ankara, Türkiye.
J Eval Clin Pract. 2025 Apr;31(3):e70098. doi: 10.1111/jep.70098.
Postpartum depression is a significant health problem that negatively affects maternal and fetal health and should be carefully evaluated by health professionals in extraordinary situations such as disasters and pandemics. This study aimed to examine the effects of fear of COVID-19, perceived social support, and some socio-demographic and obstetric characteristics of women on the risk of postpartum depression during the pandemic period using path analysis.
This cross-sectional study was conducted with 226 women over 18 years of age, literate, gave birth at term, were between 2 weeks and a year postpartum, could use smartphones, and had not had COVID-19. The data were collected using the instruments Personal Information Form, the Fear of COVID-19 Scale (FCV-19S), the Edinburgh Postnatal Depression Scale (EPDS), and the Multidimensional Scale of Perceived Social Support (MSPSS). Data were collected via online survey method between 14 November 2020 and 30 December 2020.
The prevalence of risk of postpartum depression was 35.8%. The mean FCV-19S score was 19.72 ± 6.75, the mean MSPSS score was 56.69 ± 17.49, and the mean EPDS score was 10.03 ± 6.21. Binary logistic regression analysis showed that risk factors associated with postpartum depression risk in postpartum women during the pandemic family type (OR: 0.316, p = 0.05), satisfaction with childbirth experience (OR: 5.907, p = 0.003), fear of COVID-19 (OR: 1.104, p < 0.001), and perceived social support (OR: 0.942, p < 0.001). According to the path analysis, the χ/degree of freedom value of the model is 1.35 and GFI: 0.99, AGFI: 0.96, CFI: 0.98, RMSEA: 0.040, NFI: 0.94, NNFI: 0.93, SRMR: 0.041 for path analysis. Path analysis revealed that having a nuclear family (β = 1.33), perceived social support (β = -0.13), having a history of depression (β = 3.61), fear of COVID-19 (β = 0.14), and satisfaction with the birth experience (β = -2.56) had a direct negative effect on the risk of PPD during the pandemic.
The findings suggest that strengthening social support, helping her cope with the fear of COVID-19, having a good birth process, and reasonable evaluation of their mental health history can alleviate the risk of PPD during the pandemic period. On the other hand, our findings may guide the development of prevention and intervention approaches for factors that directly and indirectly affect women's PPD risk during the pandemic period.
产后抑郁症是一个严重的健康问题,会对母婴健康产生负面影响,在灾难和大流行等特殊情况下,健康专业人员应仔细评估。本研究旨在通过路径分析,探讨在大流行期间,女性对新冠病毒的恐惧、感知到的社会支持以及一些社会人口学和产科特征对产后抑郁症风险的影响。
本横断面研究对226名18岁以上、识字、足月分娩、产后2周至1年、会使用智能手机且未感染新冠病毒的女性进行。使用个人信息表、新冠病毒恐惧量表(FCV - 19S)、爱丁堡产后抑郁量表(EPDS)和多维感知社会支持量表(MSPSS)收集数据。2020年11月14日至2020年12月31日通过在线调查方法收集数据。
产后抑郁症风险患病率为35.8%。FCV - 19S平均得分19.72 ± 6.75,MSPSS平均得分56.69 ± 17.49,EPDS平均得分10.03 ± 6.21。二元逻辑回归分析表明,大流行期间产后女性产后抑郁症风险的相关危险因素为家庭类型(OR:0.316,p = 0.05)、对分娩经历的满意度(OR:5.907,p = 0.003)、对新冠病毒的恐惧(OR:1.104,p < 0.001)和感知到的社会支持(OR:0.942,p < 0.001)。根据路径分析,该模型的χ/自由度值为1.35,GFI:0.99,AGFI:0.96,CFI:0.98,RMSEA:0.040,NFI:0.94,NNFI:0.93,SRMR:0.041。路径分析显示,在大流行期间,核心家庭(β = 1.33)、感知到的社会支持(β = -0.13)、有抑郁症病史(β = 3.61)、对新冠病毒的恐惧(β = 0.14)以及对分娩经历的满意度(β = -2.56)对产后抑郁症风险有直接负面影响。
研究结果表明,加强社会支持、帮助她应对对新冠病毒的恐惧、有良好的分娩过程以及合理评估她们的心理健康史可以减轻大流行期间产后抑郁症的风险。另一方面,我们的研究结果可能会为制定预防和干预措施提供指导,这些措施针对在大流行期间直接和间接影响女性产后抑郁症风险的因素。