Effects of Day and Night Shifts on Stress, Anxiety, Quality of Life, and Oxidative Stress Parameters in Nurses

Özyürek, Pakize; Çevik, Cahide; Kılıç, İbrahim; Aslan, Adem

doi:10.5152/fnjn.2021.19141

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…Çelmeçe & Menekay (2020) reported contrast results and their finding showed that there is no significant correlation between trait anxiety and quality of life in healthcare professionals caring for COVID-19 patients [27]. Özyürek et al (2021) reported the quality of life and anxiety have a significant difference among nurses working in a university hospital [28]. In Filali et al study (2017) anxiety is negatively correlated with quality of life, meaning that quality of life decreases with increasing anxiety [29].…”

Section: Discussionmentioning

confidence: 99%

COVID-19 anxiety and quality of life among Iranian nurses

et al. 2022

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Background The Coronavirus Disease 2019 (COVID-19) pandemic has exposed nurses, who are a very important group involved in the care of these patients, to many stresses that may affect their quality of life. This study aimed to determine the relationship between COVID-19 anxiety and the quality of life among Iranian nurses. Method This online cross-sectional study enrolled 1,131 of Iranian nurses working at the time of the COVID-19 outbreak in treatment centers in different parts of Iran from April to May 2020. The convenience sampling strategy was used. Data were collected using a demographic questionnaire, the 36-Item Short-Form Health Survey (SF-36), and Corona Disease Anxiety Scale (CDAS). The stepwise multiple linear regression models were used to examine the relationships among self-reported anxiety concerning COVID-19 and SF-36 quality of life, its components, and subscales. Partial r was used as an estimate of effect size. Result The mean SF-36 score was 65.2 (SD=17.6). The mean score of the mental component summary (MCS) (M=56.8, SD=22.3) was lower than the mean score of the physical component summary (PCS) (M=71.6, SD=17.5). The mean score of COVID-19 anxiety was 17.8 (SD=10.5). Of the participants, 378 (33.4%; 95% CI [30.7%, 36.3%]), and 152 (13.4%; 95% CI [11.5%, 15.6%]) reported moderate and severe anxiety, respectively. According to the results of stepwise multiple linear regression model, after adjusting for possible confounding variables, the SF-36 quality of life was still significantly negatively associated with COVID-19 anxiety, with a large effect size (The partial r = -0.515, p < 0.001). The relationship between the SF-36 components and COVID-19 anxiety were also significant, and moderate to large effect sizes were observed (The partial r for (PCS; COVID-19 anxiety) = -0.404; p < 0.001, and for (MCS; COVID-19 anxiety) = -0.521; p < 0.001). In addition, significant correlation coefficients for every subscale of the SF-36 were found for COVID-19 anxiety and its two components, with small to large effect sizes (The partial correlations= -0.211 to -0.524, all ps< 0.001). Conclusions The results showed that higher COVID-19 anxiety in nurses decreases their quality of life. In order to increase nurses’ quality of life during the COVID-19 pandemic, it is recommended to design and implement programs to reduce their COVID-19 anxiety.

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Section: Discussionmentioning

confidence: 99%

COVID-19 anxiety and quality of life among Iranian nurses

et al. 2022

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“…At the same time, routine interventions aiming to mitigate the onset of such negative out-comes might have a reduced efficacy not focusing on critical mental health predictors and, above all, being usually offered after the exposure to traumatic events [53]. Not surprisingly, fourteen of the twenty-three papers included in our review investigate the conditions of active-duty military personnel and veterans [27][28][29][30], community health agents [31], sworn officers and patrol police officers [36,38], health care professionals [35,[39][40][41]43,49] and caregivers [48]. A further critical issue involving these professionals is the presence of shift work, which has a significant impact on workers' health, QOL, and well-being [49].…”

Section: Discussionmentioning

confidence: 99%

The Quality of Life and the Bio-Molecular Profile in Working Environment: A Systematic Review

et al. 2022

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Working life is characterised by various requirements and degrees of control in meeting these demands. The imbalance of these elements with workers’ resources can result in work-related stress involving the repeated activation of stress response systems. Modifications in the bio-molecular profile may represent a biological signature of individuals’ life experiences and provide evidence on pathways through which such stressors can result in health outcomes. The aim of our systematic review is to characterize the quality of life (QOL) and the bio-molecular profile in the working population, to highlight if the alteration observed might be related to the working conditions. The article query was performed on PubMed, Embase, and Cochrane CENTRAL and results have been presented according to three molecular pathways involved in the stress response: oxidative stress, inflammation, and neuroendocrine activation. The epidemiological sample has been sub-grouped into “clinical” and “non-clinical” populations according to the presence of a diagnosis of psychological disorders. Besides some critical issues, the review highlights the importance of developing a valid array of biological indicators, measurable in non-invasive matrices, sensitive to both derangements from physiological conditions and stress reduction, useful for identifying those groups at higher risk of health outcomes and, eventually, promoting workers’ wellbeing.

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“…Shift workers were at significant risk of myocardial infarction and stroke (relative risk 1.23 and 1.05 times greater, respectively) [ 8 ]. A study from Turkey reported that shift nurses had a lower quality of life according to the SF-36 MCS (35.5 vs. 42.5) and lower life satisfaction (16.4 vs. 19.9) compared with daytime nurses [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Which Shiftwork Pattern Is the Strongest Predictor for Poor Sleep Quality in Nurses?

Wangsan

Chaiear

Sawanyawisuth

et al. 2022

IJERPH

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Shiftwork is related to an increased risk of several diseases, including gastric ulcers, myocardial infarction, and diabetes. Several shiftwork patterns are related to poor sleep quality, such as a quick returns or extended shifts. This study aimed to find the shiftwork patterns strongly associated with poor sleep quality amongst nurses. A cross-sectional analytical study was conducted among nurses working for at least one month. The sub-groups were the good sleep quality group (n = 150) and the poor sleep quality group (n = 472). Eligible participants were asked to complete a self-reported questionnaire comprising personal characteristics, job characteristics, shiftwork characteristics, and sleep quality. Factors associated with poor sleep quality were determined using logistic regression analysis. Two factors associated with poor sleep quality remained in the final model: viz., depression and backward rotational shift. The only independent factor for poor sleep quality was a backward rotational shift with an adjusted odds ratio (95% CI) of 1.946 (1.344, 2.871). In conclusion, compared with other shift patterns, backward shiftwork was the most significant factor associated with poor sleep quality and should be avoided.

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Effects of Day and Night Shifts on Stress, Anxiety, Quality of Life, and Oxidative Stress Parameters in Nurses

Cited by 8 publications

References 31 publications

COVID-19 anxiety and quality of life among Iranian nurses

COVID-19 anxiety and quality of life among Iranian nurses

The Quality of Life and the Bio-Molecular Profile in Working Environment: A Systematic Review

Which Shiftwork Pattern Is the Strongest Predictor for Poor Sleep Quality in Nurses?

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