Factors associated with fatigue in patients with insomnia

Kim, Seog Ju; Kim, Somin; Jeon, Sanghun; Leary, Eileen; Barwick, Fiona H.; Mignot, Emmanuel

doi:10.1016/j.jpsychires.2019.06.021

Cited by 38 publications

(38 citation statements)

References 44 publications

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“…Although we excluded individuals with severe symptoms of depression from our study, we found that symptoms of depression influenced the relationship between insomnia symptoms and daytime functioning in people with T2DM. This is in agreement with a previous study of 2024 patients with insomnia which observed that the association between insomnia severity and fatigue was mediated by depression symptoms [30]. Moreover, it has been shown that people with chronic insomnia are often diagnosed with major depression, which might be associated with fatigue symptoms [31].…”

Section: Discussionsupporting

confidence: 93%

“…Moreover, it has been shown that people with chronic insomnia are often diagnosed with major depression, which might be associated with fatigue symptoms [31]. This data suggests that treating depression symptoms might be beneficial in reducing fatigue in people with insomnia [30]. However, a cross-sectional study of people with T2DM showed that depression symptoms were not a predictor of fatigue severity in this population.…”

Section: Discussionmentioning

confidence: 94%

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Daytime Functioning in People with Type 2 Diabetes and Insomnia Symptoms: A Comparison-Correlational Study

Alshehri¹,

Rucker²,

Alenazi³

et al. 2020

Preprint

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Background Sleep disturbances showed negative impact on self-care and diabetes outcomes for people with type 2 diabetes. However, there is a need to understand to what extent insomnia symptoms impact daytime functioning in people with type 2 diabetes. This study compared common daytime functioning outcomes including fatigue, daytime sleepiness, and quality of life related to vitality and physical function in people with type 2 diabetes with and without insomnia symptoms. Methods This study was a cross-sectional comparison design which used validated instruments to assess common daytime functioning outcomes (i.e. fatigue severity scale, daytime sleepiness, and quality of life related to vitality and physical function domains) in 60 participants with type 2 diabetes with and without symptoms of insomnia. Insomnia Severity Index was used to stratify participants into an insomnia group and non-insomnia control group. Multivariate linear model and partial correlations tests were utilized to examine the relationships between outcomes in the two groups after controlling for age and depression symptoms. Results Levels of fatigue severity, and quality of life related vitality and physical function were worse in the insomnia group compared to non-insomnia group (P<.004). After controlling for age, the multivariate linear model showed that the insomnia group had greater fatigue severity (R 2 =0.15, p=.003), and lower quality of life related to vitality and physical function (R 2 =0.25, p<.001; and R 2 =0.11, p=.004, respectively). Partial correlation showed that daytime sleepiness was correlated with Insomnia Severity Index in the full sample after controlling for age ( r =.35, p =.006). When added depression symptoms into the models, the differences or relationships were not observed. Conclusion Fatigue, and quality of life related vitality and physical function were worse in people with both type 2 diabetes and insomnia symptoms compared to people with type 2 diabetes only. Depression symptoms may have an independent contribution for the daytime functioning.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 94%

Daytime Functioning in People with Type 2 Diabetes and Insomnia Symptoms: A Comparison-Correlational Study

Alshehri¹,

Rucker²,

Alenazi³

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Skarpsno, Nilsen, Sand, Hagen, and Mork (2019) found that work‐related mental fatigue was an important risk factor for insomnia symptoms. Compared with patients without severe fatigue, insomnia patients with severe fatigue showed higher symptoms of insomnia, daytime sleepiness and longer habitual sleep duration (Kim et al, 2019). Hence, it is recommended that managers can use the above nursing management measures to try to minimize the fatigue of nurses.…”

Section: Discussionmentioning

confidence: 99%

Factors associated with insomnia among Chinese front‐line nurses fighting against COVID‐19 in Wuhan: A cross‐sectional survey

et al. 2020

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Aim: To investigate the prevalence of insomnia among front-line nurses fighting against COVID-19 in Wuhan, China, and analyse its influencing factors. Background: Insomnia is an important factor that can affect the health and work quality of nurses. However, there is a lack of big-sample studies exploring factors that affect the insomnia of nurses fighting against COVID-19. Method: This cross-sectional study using the Ascension Insomnia Scale, Fatigue Scale-14 and Perceived Stress Scale took place in March 2020. Participants were 1,794 front-line nurses from four tertiary-level general hospitals. Results: The prevalence of insomnia among participants was 52.8%. Insomnia was predicted by gender, working experience, chronic diseases, midday nap duration, direct participation in the rescue of patients with COVID-19, frequency of night shifts, professional psychological assistance during the pandemic, negative experiences (such as family, friends or colleagues being seriously ill or dying due to COVID-19), the degree of fear of COVID-19, fatigue and perceived stress. Conclusion: The level of insomnia among participants was higher than the normal level. Interventions based on influencing factors should be implemented to ensure nurses' sleep quality. Implications for Nursing Management: An in-depth understanding of the influencing factors of insomnia among front-line nurses can help nurse managers develop solutions to improve front-line nurses' sleep quality, which will enhance the physical and mental conditions of nurses and promote the quality of care.

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“…In such an unprecedented stressful situation, insomnia, feelings of fatigue, and even burn-out have been common. Insomnia has been the earliest and most prominent symptom reported by patients coping with stress (8), and fatigue has been the most common and persistent symptom caused by insomnia (9). These symptoms can result in daytime exhaustion, medical and psychiatric disorders, and lowered immune response among HCWs.…”

Section: Introductionmentioning

confidence: 99%

Factors Associated With Healthcare Workers' Insomnia Symptoms and Fatigue in the Fight Against COVID-19, and the Role of Organizational Support

Zou

Liu

et al. 2021

Front. Psychiatry

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Background: Healthcare workers (HCWs) have been exposed to increased risks of insomnia and fatigue during the COVID-19 pandemic. In this study, we identify important risk factors associated with insomnia symptoms and fatigue among HCWs, and evaluate the effect of organizational support on insomnia and fatigue symptoms.Methods: This is an online cross-sectional survey of HCWs in China administered during the COVID-19 epidemic (from February 27, 2020 to March 12, 2020). We employed the AIS-8 scale for insomnia screening, and a self-reported ten-point scale to evaluate subjects' degrees of fatigue. We also designed a four-point scale to assess the degree of social support provided on an organizational level. Additionally, we conducted logistic regression analysis to identify risk factors.Results: This study included a total of 3,557 participants, 41% of which consisted of non-frontline HCWs and 59% of which was frontline HCWs. Of the non-frontline HCWs, 49% reported insomnia symptoms, and 53.8% reported a moderate to high degree of fatigue. Meanwhile, among the frontline HCWs, the percentages for insomnia and moderate to high fatigue were 63.4% and 72.2%, respectively. Additionally, frontline HCWs and HCWs employed at Centers for Disease Control and Prevention (CDCs) had elevated risks of insomnia and fatigue. However, with increased organizational support, insomnia symptoms decreased among frontline HCWs. Also, organizational support mitigated the positive correlation between daily working hours and degree of fatigue among HCWs.Conclusion: Frontline HCWs and staff in Chinese CDCs have been at a high risk of insomnia symptoms and fatigue during the fight against COVID-19. This study provides evidence for the positive effects of organizational support in relation to insomnia and fatigue among HCWs. This sheds light on government responses to the COVID-19 epidemic for other countries.

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Factors associated with fatigue in patients with insomnia

Cited by 38 publications

References 44 publications

Daytime Functioning in People with Type 2 Diabetes and Insomnia Symptoms: A Comparison-Correlational Study

Daytime Functioning in People with Type 2 Diabetes and Insomnia Symptoms: A Comparison-Correlational Study

Factors associated with insomnia among Chinese front‐line nurses fighting against COVID‐19 in Wuhan: A cross‐sectional survey

Factors Associated With Healthcare Workers' Insomnia Symptoms and Fatigue in the Fight Against COVID-19, and the Role of Organizational Support

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