Association of Anxiety Symptom Clusters with Sleep Quality and Daytime Sleepiness

et al. 2020

Preprint

Objectives The epidemiological evidence on the effect of sleep quality on anxiety symptoms has been inconclusive. This study aimed at exploring the relationship between sleep quality and anxiety symptoms in rural China and investigated whether age, lifestyle and chronic diseases modified the association. Methods A total of 27,911 participants aged 18–79 years from the Henan Rural Cohort Study were included in the study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Poor sleep quality was defined as PSQI ≥6. Anxiety symptoms were evaluated with the two-item generalized anxiety disorder scale (GAD-2). A score ≥6 was view as having anxiety symptoms. Logistic regression and restricted cubic spline was conducted to examine the association of sleep quality with anxiety symptoms. Results Altogether, 6,087(21.80%) were poor sleepers and 1,557(5.58%) had anxiety symptoms. The odds of anxiety were increased with increment of PSQI score after fitting restricted cubic splines. And the poor sleep qualitywas associated with a higher possibility of anxiety symptoms (4.60, 3.70-5.72) in men, and (3.56, 3.10-4.09) in women on multivariable analysis. Further stratified analyses showed that the effect of sleep quality and anxiety symptoms could be modified by age, marital status, smoking status, drinking status, hypertension andtype 2 diabetes mellitus. Conclusions A dose-response association between PSQI score and anxiety symptoms was found. In addition, relationship between poor sleep quality and anxiety symptoms was observed in this rural population, especially in participants aged ≥60 years and those with unhealthy habits or had a chronic disease.

Section: Discussionsupporting

confidence: 91%

Dose-response association of sleep quality with anxiety symptoms in Chinese rural population: the Henan Rural Cohort

Shen

Zhang

et al. 2020

Preprint

“…We think there maybe correlation between physical health and mental health that the previous similar studies shown the same viewpoint [60].We also found nurses with sleep disorder or anxiety symptoms have lower quality of life, no matter PCS or MCS. The results may indicate that sleep disorder and anxiety symptom could respect poor quality of life.…”

Section: Prevalence and Influencing Factors Of Anxiety Symptoms Amongsupporting

confidence: 67%

Sleep quality and anxiety among nurses in tertiary hospitals in China and the influencing factors: A cross-sectional study

Lian

Hua

et al. 2020

Preprint

BackgroundThe purpose of the study was to investigate to understand the situation of sleep quality and anxiety among nurses in tertiary hospitals in China, and analyze their influencing factors. MethodsA cross-sectional survey was performed for nurses in Beijing tertiary hospitals including Beijing Tongren hospital, Beijing Anzhen Hospital and Beijing Children Hospital. The Pittsburgh Sleep Quality Indes (PSQI) and Zung Self-Rating Anxiety Scale (SAS) were used to measured the sleep quality and anxiety symptoms, respectively. Survey of quality of life in nurses was measured by 36-item Short Form Health Survey (SF-36). Spearman's correlations analysis and logistic regression analysis was used to understand the influencing factors with sleep disorder, anxiety symptoms and quality of sleep. Quality of life (both PCS and MCS) were affected by influencing factors including marital status, working years, education background, income monthly, working hours, regular diet, physical exercise, sleep disorder, anxiety symptoms, felling of stress, and stress from economic, social, occupational.Results 643 registered nurses in three tertiary hospitals were surveyed, 517 (80.4%) returned questionnaires were valid for analysis. The average PSQI score was 7.71±3.62, including 372 participants that scores were above 5 (72.0%). The average SAS score was 45.18±9.90,including 157 participants with a SAS score > 50 (30.4%) that had different anxiety symptoms. The nurses' sleep quality were affected by some factors including income monthly, working hours, regular diet, physical exercise, stress from economic, social, occupational. Education background, income monthly, working hours, regular diet and economic stress, social stress, occupational stress have significantly related to anxiety symptoms. Correlation between sleep disorder and anxiety severity was positive for nurses. ConclusionsThe situation of sleep disorder and anxiety symptoms among nurses in tertiary hospitals in China were very serious. The problem has negative effect on physical and mental health in nurses which remind hospital administrators should take preventive actions. In addition, the results of the study District,

“…Syntheses of longitudinal studies suggested sleep quality were bidirectionally related to anxiety [30]. There were large data investigating the effect of sleep quality on the anxiety symptom in other populations such as shiftworkers, re ghters, paramedics, pregnant women, older adults, poor sleep quality had higher odds of anxiety symptoms, greater anxiety were associate with poorer sleep quality [31][32][33][34][35]. Similarly, anxiety affects sleep quality because anxious people nd it hard to fall asleep and wake up frequently [30].…”

Section: Discussionmentioning

confidence: 99%

Anxiety and Depression Symptoms of Patients in Fangcang Shelter Hospital During the COVID-19 Outbreak in China: a Web-Based Cross-Sectional Study

Dai

Jiang

et al. 2020

Preprint

Background The COVID-19 pandemic is a major health crisis has led to adverse mental health consequences in the general public, medical staff, and individual in self isolation. In order to stop transmission of the virus and save lives, Fangcang shelter hospitals were developed and used for the first time in China. However, there is no research on mental health problems in Fangcang shelter hospitals patients during the COVID-19 outbreak. The aim of this study was to survey the prevalence and major influencing factors of anxiety, depression among the hospitalized Coronavirus Disease 2019 (COVID-19) cases in Fangcang shelter hospital. Methods From February 23rd, 2020, to February 26th, 2020, we obtained the information of demographic data, clinical symptoms, and assessed the mental health status, sleep quality by using an online questionnaire including self-rating anxiety scale (SAS), self-rating depressive scale (SDS) and pittsburgh sleep quality index (PSQI) at Jianghan Fangcang shelter hospital. We assessed the prevalence of anxiety, depression symptoms and poor sleep quality via the scores of SAS, SDS and PSQI. We explored the influencing factors of anxiety and depression in COVID-19 patients using multivariable logistic regression models. Results We collected data from 307 COVID-19 patients in Jianghan Fangcang shelter hospital. The prevalence of anxiety, depression symptoms were 18.6% and 13.4%, respectively. Poor Sleep quality, number of current physical symptoms ≥ 2 were independent risk factors for anxiety symptoms (P < 0.05); female, family member confirmed COVID-19, number of current physical symptoms ≥ 2 were independent risk factors for depression symptoms (P < 0.05). PSQI scores were significant positively associate with SAS scores and SDS scores (P ༜ 0.05). Conclusions Anxiety and depression are common among the COVID-19 patients in Fangcang shelter hospital. Those with more current physical symptoms, poor sleep quality are more likely to have anxiety. Females, those with their family members diagnosed with COVID-19, more current physical symptoms are more vulnerable to depression symptom. Our findings can be used to formulate targeted psychological interventions to reduce adverse psychological impacts in Fangcang shelter hospital during the outbreak of epidemic disease in the future.