孕前父亲精神健康史作为孕妇产前抑郁的预测因子

IF 3.6 3区 医学 Q1 PSYCHIATRY
Laura Orsolini, Imran Gokcen Yılmaz-Karaman, Matteo Bottaro, Silvia Bellagamba, Giulia Francesconi, Umberto Volpe
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引用次数: 0

摘要

背景:围产期抑郁症对未来的父亲和母亲都有影响。PND可能会给整个家庭带来一些不利的身心健康结果。尽管很少有研究调查父亲心理健康在母亲围产期抑郁症(MPND)发病中的作用,但已经确定了几个精神病理决定因素。因此,我们进行了一项回顾性队列研究,以调查父亲心理健康与产前母亲抑郁发生之间的关系,并确定MPND发展的潜在社会人口统计学、临床和产科预测因素。方法:连续招募2021年4月至2022年2月期间在意大利安科纳马尔凯理工大学马尔凯大学医院临床精神科围产期心理健康门诊就诊的所有孕妇,并对其进行产前抑郁的纵向筛查。根据爱丁堡产后抑郁量表(EPDS)对PND的筛查,将样本分为两组。为了评估与产前抑郁存在(相对于产前抑郁不存在)相关的预测因素,进行了逐步二元logistic回归分析。结果:从2021年4月至2022年2月,我们回顾性地纳入了460名参与者中的106名。在我们的样本中,发现产前抑郁症的患病率为13.2%。二元logistic回归模型显示,产妇年龄越高(OR = 1.320;p = 0.005),妊娠合并症(OR = 10.931;p = 0.010),孕妇(OR = 19.001;p = 0.001)及其伴侣的阳性病史(OR = 16.536;P = 0.004)显著预测我们样本中产前抑郁的存在。结论:我们的研究表明,有必要调查孕妇伴侣先前存在的精神病理,作为MPND的潜在危险因素,特别是产前抑郁。总的来说,更好地了解和调查MPND发病和/或维持和/或恶化的所有潜在风险和/或保护因素可以帮助临床医生早期确定治疗策略,以改善母亲和未来父亲的心理健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preconception paternal mental health history as predictor of antenatal depression in pregnant women.

Background: Depression occurring during the perinatal period (PND) could affect both future mother and father. PND may lead to several adverse physical and mental health outcomes for the whole family. Several psychopathological determinants have been identified, even though few studies investigated the role of paternal mental health in the onset of maternal perinatal depression (MPND). Hence, a retrospective cohort study was carried out in order to investigate the relationship between paternal mental health and the occurrence of antenatal maternal depression as well as identifying potential sociodemographic, clinical and obstetrical predictors in the development of MPND.

Methods: All pregnant women afferent to the Perinatal Mental Health Outpatient Service of the Unit of Clinical Psychiatry at the University Hospital of Marche, Polytechnic University of Marche, Ancona, Italy, between April 2021 to February 2022, were consecutively recruited and longitudinally screened for antenatal depression. The sample was divided in two groups, based on the screening by using the Edinburgh Postpartum Depression Scale (EPDS) for PND. A stepwise binary logistic regression analysis was performed in order to evaluate the predictors associated with the presence of antenatal depression (vs. the absence of antenatal depression).

Results: A total of 106 participants among all 460 screened from April 2021 to February 2022, were retrospectively included. In our sample, a prevalence of 13.2% in antenatal depression was found. The binary logistic regression model showed that the higher maternal age (OR = 1.320; p = 0.005), gestational comorbidity (OR = 10.931; p = 0.010), pregnant women's (OR = 19.001; p = 0,001) and their partner's positive history (OR = 16.536; p = 0.004) for mental disorder significantly predicted the presence of antenatal depression in our sample.

Conclusions: Our study suggests the need to investigate the pre-existing psychopathology of the pregnant woman's partner as a potential risk factor for MPND, particularly for antenatal depression. Overall, a better understanding and investigation of all potential risk and/or protective factors for the onset and/or maintenance and/or worsening of MPND could help clinicians in early identifying treatment strategies to improve maternal mental health as well as future father's mental health.

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来源期刊
CiteScore
6.60
自引率
2.70%
发文量
43
审稿时长
>12 weeks
期刊介绍: Annals of General Psychiatry considers manuscripts on all aspects of psychiatry, including neuroscience and psychological medicine. Both basic and clinical neuroscience contributions are encouraged. Annals of General Psychiatry emphasizes a biopsychosocial approach to illness and health and strongly supports and follows the principles of evidence-based medicine. As an open access journal, Annals of General Psychiatry facilitates the worldwide distribution of high quality psychiatry and mental health research. The journal considers submissions on a wide range of topics including, but not limited to, psychopharmacology, forensic psychiatry, psychotic disorders, psychiatric genetics, and mood and anxiety disorders.
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