Comparison of Sleep Disturbances Among Women with and without a History of COVID-19 Infection.

Objective: This study was conducted to compare sleep disturbances between women with and without a history of Coronavirus disease-2019 (COVID-19) infection. Materials and Methods: In this descriptive study, the "Pittsburgh Sleep Quality Index" was used to evaluate sleep problems. The research sample...

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Publicado en:Journal of Turkish Sleep Medicine / Türk Uyku Tıbbı Dergisi Vol. 10; no. 1; pp. 54 - 60
Autores principales: Damsarsan, Sümeyra, Özcan, Handan
Formato: Artículo
Publicado: Galenos Yayinevi Tic. LTD. STI Mar2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2023
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      pub: Galenos Yayinevi Tic. LTD. STI
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        161947198
        10.4274/jtsm.galenos.2022.66376
      ppf: 54
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      tig:
        atl: Comparison of Sleep Disturbances Among Women with and without a History of COVID-19 Infection.
      aug:
        au:
          Damsarsan, Sümeyra
          Özcan, Handan
        affil:
          Lokman Hekim University Faculty of Health Sciences, Department of Midwifery, Ankara, Turkey
          University of Health Sciences Faculty of Health Sciences, Department of Midwifery, İstanbul, Turkey
      su:
        Interviewing
        Psychological adaptation
        Women's health
        Disease risk factors
        Sleep disorders treatment
        Computer software
        Sleep quality
        COVID-19
        Sleep latency
        Research methodology
        Sleep disorders
        Questionnaires
        Data analysis software
      sug:
        subj:
          Interviewing
          Psychological adaptation
          Women's health
          Disease risk factors
          Software publishers (except video game publishers)
          Computer and software stores
          Computer, computer peripheral and pre-packaged software merchant wholesalers
          Computer and Computer Peripheral Equipment and Software Merchant Wholesalers
          Sleep disorders treatment
          Computer software
          Sleep quality
          COVID-19
          Sleep latency
          Research methodology
          Sleep disorders
          Questionnaires
          Data analysis software
      keyword:
        sleep quality
        women
        kadın
        uyku kalitesi
        sleep quality
        women
        kadın
        uyku kalitesi
      ab: Objective: This study was conducted to compare sleep disturbances between women with and without a history of Coronavirus disease-2019 (COVID-19) infection. Materials and Methods: In this descriptive study, the "Pittsburgh Sleep Quality Index" was used to evaluate sleep problems. The research sample was calculated as 120: 1. group 60 (with a history of COVID-19) and 2. group 60 (without a history of COVID-19) using the G*Power 3.1 method. A total of 141 women were interviewed in case of data loss. Due to the ongoing pandemic, the forms were filled in via google form in the social media environment. The data were analyzed with Statistical Package for Social Sciences for the Windows 22.0 program. Results: The mean age of the women involved in the study was 22.241±6.593 (min: 18, max: 58). Women with a history of COVID-19 experience occasional sleep problems several times a week and have difficulty falling asleep. Statistically significant differences were found between the sleep quality of women with and without a history of COVID-19. Subjective sleep quality, sleep latency, habitual sleep efficiency, use of sleeping medication, daytime dysfunction, and total sleep quality scores were found to be higher in women with a history of COVID-19. Conclusion: Sleep quality is lower in women with a history of COVID-19. During the COVID-19 pandemic, sleep quality should be evaluated, and sleep problems should be identified and treated within a short period. It is recommended to develop methods of coping with anxiety and stress experienced, especially during the COVID-19 pandemic and to raise awareness on this issue among people with a COVID-19 history.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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