Effects of perceived stress, self-acceptance and social support on insomnia in hemodialysis patients: A cross-sectional study

Factors associated with sleep quality in patients undergoing cardiac surgery: A longitudinal study

BACKGROUND

Poor sleep quality is associated with multiple factors in cardiac surgery patients.

AIM

To examine the trajectory of sleep quality and its associated factors over 3 months in Taiwanese patients undergoing cardiac surgery.

STUDY DESIGN

A longitudinal study. This study enrolled 95 patients undergoing cardiac surgery in northern Taiwan. Sleep quality was measured using the Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale before surgery, at discharge, and at 1 month and 3 months postsurgery.

RESULTS

The majority of participants reported poor sleep quality before cardiac surgery (76.8%) and at discharge (81.6%), and they showed significant improvements in sleep quality at 1 month (B = -0.93, p = .023) and 3 months postsurgery (B = -1.50, p < .001). Significant daytime sleepiness was reported by 25.3% of patients before cardiac surgery, and this proportion significantly decreased at 3 months postsurgery (B = -2.59, p < .001). The significant predictors of sleep quality in cardiac surgery patients were symptom distress, sleep medications, occupation, left ventricular ejection fraction, ACE-I drugs and potassium ions, which explained 53.7% of the total variance in sleep quality. Having a nap habit was an independent predictor of daytime sleepiness in cardiac surgery patients, which could explain 3.7% of the total variation.

CONCLUSION

Poor sleep quality was common in patients undergoing cardiac surgery and was associated with multiple factors, including symptom distress, cardiac function, medications, and psychosocial and environmental factors.

RELEVANCE TO CLINICAL PRACTICE

Poor sleep quality was observed in cardiac surgical patients before surgery and at discharge postsurgery. Patient education on symptom management, medication adherence and sleep hygiene are suggested to improve sleep quality in patients undergoing cardiac surgery.

The mediating effect of resilience and COVID-19 anxiety on the relationship between social support and insomnia among healthcare workers: a cross-sectional study

Background

Insomnia in healthcare workers has become a topic of concern in the health system. The high infectivity and longevity of the COVID-19 pandemic have resulted in great pressure and a high incidence of insomnia among healthcare workers. Insomnia among healthcare workers has a negative impact on high-quality healthcare services in addition to their health. Thus, it's necessary to explore insomnia's underlying mechanisms.

Object

The present research's aims were threefold: explored the association between social support, resilience, COVID-19 anxiety, and insomnia among healthcare workers during the pandemic, elucidated the underlying mechanism of insomnia, and offered recommendations for improving the health of these workers.

Materials and methods

A cross-sectional design was adopted. From May 20 to 30, 2022, 1038 healthcare workers were selected to fill out the Oslo 3-item Social Support Scale, the eight-item Athens Insomnia Scale, the Coronavirus Anxiety Scale, and the Brief Resilience Scale. Descriptive statistics and correlations were analyzed by SPSS 25.0. Mediation analysis was conducted by Mplus 8.3 using 5000 bootstrap samples.

Results

Of the participating 1038 healthcare workers, the prevalence of insomnia was 41.62% (432/1038). Significant associations were found involving insomnia, resilience, COVID-19 anxiety, and social support. Insomnia was directly affected by social support. Moreover, three indirect pathways explain how social support affected insomnia: resilience's mediating role, COVID-19 anxiety's mediating role, and the chain-mediation role of resilience and COVID-19 anxiety.

Conclusion

The results validated our hypotheses and supported the opinion of Spielman et al. 's three-factor model of insomnia. Social support of healthcare workers has an indirect impact on insomnia in addition to its direct one via independent and chain-mediation effects of resilience and COVID-19 anxiety.

The influence of social support on sleep and fatigue level among patients receiving hemodialysis in Saudi Arabia: a cross-sectional correlational design

Background

Patients on hemodialysis (HD) are more likely to experience sleep problems and fatigue that may affect their health outcomes. Management of these patients with social support may improve their sleep quality and fatigue as well as their health.

Aim

This study aimed to assess the influence of social support on sleep quality and fatigue levels among HD patients.

Methods

A cross-correlational study was conducted among 260 conveniently sampled HD patients from four dialysis centers in Hail and Al-Qassim cities of Saudi Arabia from Jun 2022 to January 2023. Besides sociodemographic data, the Pittsburgh Sleep Quality Index (PSQI), the Multidimensional Assessment of Fatigue (MAF) and the Oslo Social Support Scale (OSSS-3) were used to assess sleep quality, fatigue levels and social support, respectively. Chi-square test was used to determine the association between categorical variables, while Pearson's correlation coefficient was used to test the correlation between sleep quality, fatigue, and social support.

Results

Poor sleep and high fatigue were significantly higher in older patients compared to younger patients (p <0.001), while strong social support was significantly lower in older patients than younger and middle-aged ones (p = 0.001). On the other hand, poor sleep and high fatigue were significantly higher in males than females (p = 0.022 and p <0.001, respectively), while strong social support was significantly higher in females than males (p <0.001). Married patients showed significantly poorer sleep than single ones (p = 0.019), but single patients received significantly stronger social support. Retired patients showed significantly poorer sleep, higher fatigue and weaker social support than other groups (p <0.001). There was a significant negative correlation between fatigue and sleep quality among HD patients, where patients with more fatigue had poorer sleep (r = -0.510, p <0.001). A significant positive correlation was found between social support and sleep quality, where patients with stronger social support had more normal sleep (r = 0.415, p <0.001). However, a significant negative correlation was found between social support and fatigue, where patients with stronger social support had lower levels of fatigue (r = -0.479, p <0.001).

Conclusion

Saudi patients on HD who have stronger social support have better sleep quality and reduced fatigue levels than those with less social support. There is a need to design and implement intervention studies with structured social support programs, and to evaluate their effectiveness on improving sleep and reducing fatigue among HD patients.