Factors Associated with Poor Sleep Quality in Postpartum Women: A Crossectional Study

Abstract: Objective This study aimed to analyze the factors associated with poor sleep quality in women in the postpartum period who were assisted in a municipality in central Brazil. Material and Methods This is a cross-sectional study (n = 400) conducted virtually from 2020 to 2021. Sociodemographic and clinical characteristics, self-perceived sleep, and the Pittsburgh Sleep Quality Index (PSQI) were assessed. Results It was identified that 82% of postpartum women were between 18 and 35-years-old and had an average monthly household income of R$2,339.27 ± 1,812.95. It was also found that 33.50% (95% CI: 28.7–38.0) had sleep disorders (PSQI >10); 70.25% (95%CI 65.8–74.8) had poor sleep quality (PSQI >5); 57.4% (95% CI: 52.0–63.1) had inadequate sleep on weekdays/workdays; and 64.1% (95% CI 59.3–69.2) had unsuitable sleep on weekends/days off. It was found that the factors associated with sleep disturbance were: age between <18 years and >35 years (p = 0.048); difficulty to think clearly (p = 0.043); frequent sadness (p = 0.046); poor sleep quality; low income (p = 0.030); difficulty to think clearly (p = 0.013); and loss of interest in things (p = 0.030). As for sleep on weekdays, the associated factors were: marital status without a partner (p = 0.008); and being a victim of physical violence (p = 0.003). Finally, for sleep on weekends/off: nonwhite skin-color (p = 0.039); and having postpartum depression (p = 0.029). Conclusion The findings of the present study call attention to the impacts of changes in women's bodies, behavior, and interpersonal relationships caused by the arrival of a newborn. We also highlight the need for a multidisciplinary and comprehensive medical approach in this period.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Factors Associated with Poor Sleep Quality in Postpartum Women: A Crossectional Study ; day:15 ; month:05 ; year:2024
Sleep science ; (15.05.2024)

Contributor
Motta, Ana Júlia Pereira
Lucchese, Roselma
Leão, Graciele Cristina Silva
Rosa, Dayane Eusenia
Gonçalves, Vilmar De Assis
Mendonça, Revora Silverio

DOI
10.1055/s-0044-1782174
URN
urn:nbn:de:101:1-2406271119579.967933420813
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
2025-08-14T10:45:04+0200

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Associated

  • Motta, Ana Júlia Pereira
  • Lucchese, Roselma
  • Leão, Graciele Cristina Silva
  • Rosa, Dayane Eusenia
  • Gonçalves, Vilmar De Assis
  • Mendonça, Revora Silverio

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