Main Article Content

Relationship between sleep characteristics and depressive symptoms in last trimester of pregnancy


Gülçin Nacar

Abstract

Background: Sleep problems during pregnancy may cause many complications that reduce quality of life.Aim: This study aims to determine the relationship between pregnant women's sleep characteristics and depressive symptoms.Methods: A hospital-based, cross-sectional study was conducted. Pregnant women were selected from the population by using the an improbable random sampling method. This study sample included 436 pregnant women who met the study’s inclusion criteria. To collect data, this study used an information form that was developed by the researcher after reviewing relevant literature, the Women's Health Initiative Insomnia Rating Scale (WHIIRS), and the Beck Depression Inventory (BDI). The researchers used face-to-face interviews method to collect data from the participants, pregnant women who were examined in the polyclinic.Results: This study found that 36% of participating pregnant women reported insomnia, and 38.1% experienced depressive symptoms. It also determined that participants who had problems with insomnia, who experienced a change in sleep habits, and who did not wake up feeling rested experienced depressive symptoms 1.64, 2.79, and 2.59 times more than those who didn’t have these problems, respectively. who experienced a decrease in sleep, who experienced an increase in sleep, and who did not wake up feeling rested experienced depressive symptoms 1.61, 3.22, 3.53, and 2.59 times more, respectively, than those who did not have insomnia, who did not experience a change in sleep habits in pregnancy, and who woke up feeling rested, respectively.Conclusion: This study determined that there is a relationship between insomnia and depressive symptoms and that pregnant women experiencing insomnia presented with more depressive symptoms.

Keywords: Depressions, last trimester, pregnancy, sleep characteristics.


Journal Identifiers


eISSN: 1729-0503
print ISSN: 1680-6905