4.7 Article

Mental health of pregnant women during the COVID-19 pandemic: A longitudinal study

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PSYCHIATRY RESEARCH
卷 295, 期 -, 页码 -

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ELSEVIER IRELAND LTD
DOI: 10.1016/j.psychres.2020.113567

关键词

Pregnancy; Isolation; Lockdown; Prenatal depression; Prenatal anxiety; Stress

资金

  1. Ministry of Science, Technology and Innovation of the Argentine Nation
  2. Bioethics Committee of the National University of Mar del Plata [IF-2020-37418385-APNSSFCTEI]

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During the quarantine period of 50 days, all women showed a gradual increase in psychopathological indicators and a decrease in positive affect, with pregnant women exhibiting a more pronounced increase in depression, anxiety, and negative affect than non-pregnant women did. Additionally, pregnant women experienced a more pronounced decrease in positive affect compared to non-pregnant women.
Several studies have reported the susceptibility of pregnant women to emotional instability and stress. Thus, pregnancy may be a risk factor that could deepen the already negative effects of the current COVID-19 pandemic. Therefore, the aim of this study is to analyze longitudinally the psychopathological consequences of the pandemic in pregnant women, and to explore differences with non-pregnant women. The participants in this study were 102 pregnant women, and a control group of 102 non-pregnant women (most of them reported having university studies and little financial impact from the pandemic). They completed the Beck Depression Inventory-II, the State-Trait Anxiety Inventory, and the Positive and Negative Affect Schedule, in three different times (2, 14, and 47 days after the start of the lockdown). In a time range of 50 days of quarantine, all women showed a gradual increase in psychopathological indicators and a decrease in positive affect. Pregnant women showed a more pronounced increase in depression, anxiety and negative affect than the non-pregnant women did. In addition, pregnant women showed a more pronounced decrease in positive affect. It is important for institutions dedicated to perinatal health care to count on empirical information to optimize the provision of their services.

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