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Examining the relationship between nurses' fear levels and insomnia during the COVID‐19 pandemic in Turkey.

Purpose: This study was conducted to examine the relationship between nurses' fear levels and their insomnia, influencing sociodemographic factors during the COVID‐19 pandemic. Design and Methods: This study utilized cross‐sectional methods and the data were collected between July 15 and August 15,...

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Published in:Perspectives in Psychiatric Care Vol. 58; no. 1; pp. 54 - 61
Main Authors: Aslan, Sinan, Dinç, Mahmut
Format: research tables/charts Journal Article
Published: Wiley-Blackwell Jan2022
Online Access:View this record in EBSCOhost
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      dt: Jan2022
      vid: 58
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1111/ppc.12927
        154687501
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        atl: Examining the relationship between nurses' fear levels and insomnia during the COVID‐19 pandemic in Turkey.
      aug:
        au:
          Aslan, Sinan
          Dinç, Mahmut
        affil: Nursing Department, School of Health Science, Batman University, Batman, Turkey
      sug:
        subj:
          COVID-19 Pandemic Turkiye
          Fear
          Insomnia
          Nurses Psychosocial Factors
          Socioeconomic Factors
          Human
          Turkiye
          Male
          Female
          Adolescence
          Adult
          Middle Age
          Nurse Attitudes
          Cross Sectional Studies
          Scales
          Descriptive Statistics
          Correlational Studies
          Data Analysis Software
          Shiftwork
          COVID-19 Diagnosis
          Extended Family
          COVID-19 Prevention and Control
          Public Health Administration
          Government Agencies Administration
          Personal Satisfaction
          Organizational Structure
          Quarantine
          Occupational Health
          Health Policy
          Policy Making
          Nursing Staff, Hospital
          Snowball Sample
          Coefficient alpha
          Questionnaires
          T-Tests
          Analysis of Variance
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      ab: Purpose: This study was conducted to examine the relationship between nurses' fear levels and their insomnia, influencing sociodemographic factors during the COVID‐19 pandemic. Design and Methods: This study utilized cross‐sectional methods and the data were collected between July 15 and August 15, 2020. In the data collection, "Socio‐demographic question form," "Covid‐19 Fear Scale," and "Bergen Insomnia Scale" tools were used. Descriptive statistics, numbers, percentages, independent samples t test, analysis of variance test, and correlation were used on the Statistical Package for Social Science (SPSS) 22.0 package program in evaluating the research data. Ethical approval was obtained from the Ethics Committee of Batman University. Findings: A positive correlation was found between COVID‐19 Fear Scale and the Bergen Insomnia Scale (r =.392; p =.001). The relationship between COVID‐19 Fear and Bergen Insomnia Scale score averages and nurses' educational status, income level, shift working status, the status of their relatives being diagnosed with COVID‐19, the state of being satisfied with the management of the pandemic process by the Ministry of Health, the situation of having resources in the settings where they work, the status of being in quarantine was statistically significant (p <.05). Conclusion: The relationship between the nurses' fear levels of COVID‐19 and their insomnia levels was moderate. Practice Implications: The results of this study are important in terms of understanding the nurses' fear and insomnia during the pandemic and provide data support for the proper interventions. Also, nurses working in Turkey may call for more attention and support from policymakers during the COVID‐19 pandemic.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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