Analysis of Sociodemographic and Psychological Variables Involved in Sleep Quality in Nurses

Fuentes, María del Carmen Pérez; Jurado, María del Mar Molero; Márquez, María del Mar Simón; Linares, José Jesús Gázquez

doi:10.3390/ijerph16203846

Cited by 20 publications

(20 citation statements)

References 58 publications

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“…Our study showed that a low level of self-care self-regulation was a significant predictor of poor global sleep quality, as well as the subcomponents of subjective sleep quality and daytime dysfunction. These findings were similar to the previous report that motivation for physical exercise and eating behaviors (such as uncontrolled eating and emotional eating) were linked to poor sleep quality in nurses [ 2 ]. Self-care can be conceptualized as a self-regulation process that activates health promotion behaviors and inhibits health risk behaviors.…”

Section: Discussionsupporting

confidence: 91%

“…However, due to the nature of the work, nurses are at a higher risk for decreased sleep quantity and quality, as well as continuous sleep deprivation [ 1 ]. Fatigue resulting from poor sleep tends to reduce nurses’ ability to concentrate and make correct decisions, leading to the possibility of errors and injuries [ 2 , 3 ]. For example, risk of medication errors was associated with poor quality of sleep among nurses [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

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Factors Influencing Sleep Quality among Female Staff Nurses during the Early COVID-19 Pandemic in the United States

Kim‐Godwin

Lee

Logan

et al. 2021

IJERPH

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This study aimed to assess the overall level of sleep quality among female staff nurses in the United States during the early COVID-19 pandemic. It also aimed to examine factors associated with sleep quality and its seven subcomponents: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbance, use of sleeping medications, and daytime dysfunction. A descriptive, correlational, and cross-sectional study design was used. We performed descriptive, and regression analyses with a sample of 215 female staff nurses enrolled in post-licensure online nursing programs at a southeastern state university. Data collection was conducted using an online survey from April to May 2020. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). Nurses working part time (p = 0.02), with lower perceived physical health (p = 0.01), a lower self-care self-regulation score (p < 0.001), and higher work stress (p < 0.05) showed poorer sleep quality. Factors associated with subcomponents of sleep quality varied. Poor sleep quality among nurses during the COVID-19 pandemic was reported. Various factors, including work environmental factors were associated with the sleep quality in this sample. Hospital administrators should consider developing intervention programs for improving the work environment, which would impact sleep quality, health status, and job performance.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Factors Influencing Sleep Quality among Female Staff Nurses during the Early COVID-19 Pandemic in the United States

Kim‐Godwin

Lee

Logan

et al. 2021

IJERPH

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“…When reviewing the results obtained by other researchers, it can be observed that they indicate different levels of global self-esteem and life satisfaction among the groups of respondents, sometimes being quite diverse [ 10 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ]. Velmurugan et al proved that 65.3% of the surveyed nursing students revealed moderate self-esteem, while 22.9% had low and only 11.9% had high levels of self-esteem [ 10 ].…”

Section: Discussionmentioning

confidence: 99%

Role of Global Self-Esteem in Predicting Life Satisfaction of Nursing Students in Poland, Spain and Slovakia

Kupcewicz

Grochans

Mikla

et al. 2020

IJERPH

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Background: This study analyzed the role of global self-esteem and selected sociodemographic variables in predicting life satisfaction of nursing students in Poland, Spain and Slovakia. Methods: The study subjects were full-time nursing students from three European countries. A diagnostic survey was used as a research method, while the Rosenberg self-esteem scale (SES) and the satisfaction with life scale (SWLS) were used to collect data. Results: The research was performed on a group of 1002 students. The mean age of those surveyed was 21.6 (±3.4). The results showed significant differences both in the level of the global self-esteem index (F = 40.74; p < 0.0001) and in the level of general satisfaction with life (F = 12.71; p < 0.0001). A comparison of the structure of results demonstrated that there were significantly fewer students with high self-esteem in Spain (11.06%) than in Poland (48.27%) and in Slovakia (42.05%), while more students with a high sense of life satisfaction were recorded in Spain (64.90%) than in Poland (37.87%) or in Slovakia (47.44%). A positive, statistically significant correlation was found between global self-esteem and satisfaction with life in the group of Slovak students (r = 0.37; p < 0.0001), Polish students (r = 0.31; p < 0.0001) and Spanish students (r = 0.26; p < 0.0001). Furthermore, a regression analysis proved that three variables explaining a total of 12% output variation were the predictors of life satisfaction in Polish students. The regression factor was positive (ßeta = 0.31; R2 = 0.12), which indicates a positive correlation and the largest share was attributed to global self-esteem (9%). In the group of Spanish students, global self-esteem explained 7% (ßeta = 0.27; R2 = 0.07) of the output variation and 14% in the group of Slovak students (ßeta = 0.38; R2 = 0.14). Conclusions: The global self-esteem demonstrates the predictive power of life satisfaction of nursing students, most clearly marked in the group of Slovak students. The measurement of the variables under consideration may facilitate the planning and implementation of programs aimed at increasing self-esteem among young people and promoting the well-being of nursing students.

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“…It is also unclear whether sleep, as an important recovery factor, is related to nurse resilience. Sleep quality, as an essential health indicator, has a significant impact on nurses' work performance and personal life (Pérez-Fuentes, Molero Jurado, Simón Márquez, & Gázquez Linares, 2019). Sleep disturbance is related to increased age, family dependents, unhealthy eating, lack of physical activity and low emotional intelligence (Pérez-Fuentes et al, 2019).…”

Section: What Does This Paper Contribute To the Wider Global Clinicalmentioning

confidence: 99%

Physical activity and personal factors associated with nurse resilience in intensive care units

Cavadino

Mackay

et al. 2020

Journal of Clinical Nursing

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Aim and objectives To assess intensive care nurses' resilience and identify associated personal factors and physical activity behaviours using a job demands–recovery framework. Background Currently, there is inconsistent evidence as to whether nurse resilience is associated with personal factors or with physical activity at work or during leisure time. Design A cross‐sectional study was conducted with nurses from four intensive care units in Auckland, New Zealand. Methods An online survey was conducted to collect nurses' personal information and assess their resilience levels using the Connor–Davidson Resilience Scale 25. Participants were nurses working at least 32 hr fortnightly and providing direct patient care. Physical activity was objectively measured using a pair of accelerometers worn on the back and thigh over four consecutive days (two workdays followed by two nonworkdays). Bivariable and multivariable regression were used to identify personal factors and physical activity behaviours associated with resilience (followed the STROBE checklist). Results A total of 93 nurses were included in the study. The participants' average resilience level was low. Resilience was positively associated with the objectively measured physical job demands factors: occupational physical activity, moderate‐to‐vigorous physical activity at work and dynamic standing at work. Resilience was negatively associated with one objectively measured recovery factor: sleep during leisure time. In multivariable modelling, being married and moderate‐to‐vigorous physical activity at work were positively associated with resilience, while not having religious beliefs and sleep during leisure time were negatively associated with resilience. Conclusions Resilient nurses have a greater tolerance to high physical activity at work and lower sleep duration during leisure time. Strategies are needed to improve intensive care nurses' resilience levels. Relevance to clinical practice Results may help managers gain a better understanding of the ICU nurses' characteristics associated with resilience, leading them to develop strategies for improving ICU nurse resilience.

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Analysis of Sociodemographic and Psychological Variables Involved in Sleep Quality in Nurses

Cited by 20 publications

References 58 publications

Factors Influencing Sleep Quality among Female Staff Nurses during the Early COVID-19 Pandemic in the United States

Factors Influencing Sleep Quality among Female Staff Nurses during the Early COVID-19 Pandemic in the United States

Role of Global Self-Esteem in Predicting Life Satisfaction of Nursing Students in Poland, Spain and Slovakia

Physical activity and personal factors associated with nurse resilience in intensive care units

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