BACKGROUND Poor sleep quality is common among hemodialysis patients and can significantly impact their well-being.This study aimed to evaluate the effectiveness of a structured nursing intervention program in improvin...BACKGROUND Poor sleep quality is common among hemodialysis patients and can significantly impact their well-being.This study aimed to evaluate the effectiveness of a structured nursing intervention program in improving sleep quality in middleaged and elderly hemodialysis patients.AIM To evaluate the impact of nursing intervention on sleep quality in hemodialysis patients.METHODS This cross-sectional study was conducted in a tertiary hospital,the First Affiliated Hospital of Nanchang University,in 2023.This study included 105 middle-aged and elderly hemodialysis patients aged≥45 years who underwent maintenance hemodialysis for at least 3 mo,utilizing the Pittsburgh Sleep Quality Index(PSQI)to identify poor sleepers.Those identified underwent a 12-wk nursing intervention program focusing on education,relaxation techniques,and counseling.Post-intervention,sleep quality was reassessed using the PSQI.RESULTS The study found that 68.6%of hemodialysis patients were poor sleepers.Following the 12-wk nursing intervention program,there was a significant decrease in the mean global PSQI score from 8.9±3.2 to 5.1±2.7(P<0.001),indicating improved sleep quality.This demonstrated the effectiveness of the structured nursing intervention in enhancing sleep quality for middle-aged and elderly hemodialysis patients.CONCLUSION The structured nursing intervention program focusing on sleep hygiene education,relaxation techniques,and counseling effectively improved sleep quality among middle-aged and elderly hemodialysis patients.The significant decrease in the mean global PSQI score post-intervention indicates the positive impact of tailored nursing interventions in addressing poor sleep quality in this patient population.These findings emphasize the importance of implementing targeted nursing interventions to enhance the quality of life for hemodialysis patients by addressing the prevalent issue of poor sleep quality.展开更多
BACKGROUND Sleep disturbance on the first postoperative night commonly develops for patients after day surgeries. The choice of either total intravenous anesthesia by propofol or total inhalation anesthesia with sevof...BACKGROUND Sleep disturbance on the first postoperative night commonly develops for patients after day surgeries. The choice of either total intravenous anesthesia by propofol or total inhalation anesthesia with sevoflurane has become an issue for preventing sleep disturbance.AIM To compare sleep quality on the first postoperative night for female patients after total intravenous anesthesia by propofol and total inhalation anesthesia with sevoflurane.METHODS We enrolled 61 American Society of Anesthesia(ASA) class Ⅰ-Ⅱ outpatients who underwent minor gynecologic surgeries by either propofol or sevoflurane anesthesia. Sleep quality of the very night was assessed by the Pittsburgh Sleep Quality Index(PSQI) on the next day, and PSQI scores were compared by the Wilcoxon signed-rank test and paired t-test pre-operatively and postoperatively.RESULTS For the propofol group, the mean postoperative global PSQI score(3.3 ± 1.3) was lower than the mean preoperative global PSQI score(4.9 ± 2.3)(P < 0.001);for the sevoflurane group, the mean postoperative global PSQI score(6.5 ± 2.8) was higher than the mean preoperative global PSQI score(5.5 ± 3.2)(P = 0.02). Eighty percent of patients receiving propofol anesthesia subjectively reported improved sleep quality, but only 17% of patients receiving sevoflurane anesthesia reported improved sleep quality.CONCLUSION Sleep quality assessed by the PSQI is better improved in ASA class Ⅰ-Ⅱ female patients receiving propofol anesthesia other than sevoflurane anesthesia for undergoing minor gynecologic surgeries.展开更多
Objective:The aim of the study was to evaluate the quality of sleep in nurses performing shift work in therapeutic and surgical depar tments and to establish possible relationships between level of blood pressure(BP)a...Objective:The aim of the study was to evaluate the quality of sleep in nurses performing shift work in therapeutic and surgical depar tments and to establish possible relationships between level of blood pressure(BP)and quality of sleep.Methods:A total of 20 nurses of the therapeutic depar tments and 20 nurses of the surgical depar tments were enrolled in the study.Sleep quality was assessed using the Pittsburgh Sleep Quality Index(PSQI).BP was measured according to the standard protocol using the Korotkoff method;a sphygmomanometer was used for this twice with an interval of 2 min between 10:00 a.m.and 10:30 a.m.The average value for the 2 indicators was calculated.The diagnosis of essential ar terial hyper tension(AH)was established according to the recommendations of the European Association of Cardiology and the European Association of Hypertension(2018).Results:The overall assessment of the sleep quality of the nurses involved in shift work indicates poor sleep quality;this was true in respondents of both the surgical and therapeutic profiles.However,it was observed that the quality of sleep was significantly lower in nurses of the therapeutic departments.Moreover,poor sleep quality was associated with AH,which was diagnosed in 65%of the nurses of the therapeutic departments and 45%of the nurses of the surgical departments,that is,in almost all of the subjects.Herewith,in the nurses of the therapeutic departments,the level of systolic BP exceeded that of the nurses of the surgical departments.Conclusions:Poor sleep quality is a significant risk factor for AH development and is relevant to nurses performing shift work.Additional clinical studies should be conducted to better understand the mechanisms underlying such adverse cardiometabolic outcomes associated with sleep disorders in the health-sector shift workers.展开更多
BACKGROUND Depression is the most common type of depressive disorder.The most common sleep disorder associated with depression is insomnia.Insomnia and depression are closely related.AIM To investigate the relationshi...BACKGROUND Depression is the most common type of depressive disorder.The most common sleep disorder associated with depression is insomnia.Insomnia and depression are closely related.AIM To investigate the relationship of designed questionnaire items and depression,and analyze the related factors with depression.METHODS Questionnaire included Patient Health Questionnaire-9(PHQ-9)and Pittsburgh sleep quality index(PSQI),12 kinds of diseases,8 general characteristics,and 20 insomnia characteristics,totally 56 items were filled out by 411 patients enrolled.RESULTS All the 9 items of PHQ-9,6 components of PSQI(except sleep duration),education,living situation,exercise,years of insomnia,western medicine treatment,Chinese medicine treatment,psychotherapy,kinds of insomnia,treatment expected to treat insomnia,psychological counseling,habit of 1 h before bed,habit of lunch break,diagnosed depression,coronary heart disease,mental illness showed significant difference between without and with depression group.By univariate analysis and multivariate analysis.The odds ratio of education,exercise,kinds of insomnia,habit of 1 h before bed,diagnosed depression,coronary heart disease(P=0.01)showed significant difference.Their odds ratios were 0.71(0.55,0.93),2.09(1.32,3.31),0.76(0.63,0.91),0.89(0.81,0.98),0.32(0.17,0.60),0.43(0.23,0.79).CONCLUSION We demonstrated that education,exercise,kinds of insomnia,habit of 1 h before bed,diagnosed depression and coronary heart disease affect the depression.展开更多
Sleep disturbances are among the most prevalent neuropsychiatric symptoms in individuals who have recovered from severe acute respiratory syndrome coronavirus 2 infections.Previous studies have demonstrated abnormal b...Sleep disturbances are among the most prevalent neuropsychiatric symptoms in individuals who have recovered from severe acute respiratory syndrome coronavirus 2 infections.Previous studies have demonstrated abnormal brain structures in patients with sleep disturbances who have recovered from coronavirus disease 2019(COVID-19).However,neuroimaging studies on sleep disturbances caused by COVID-19 are scarce,and existing studies have primarily focused on the long-term effects of the virus,with minimal acute phase data.As a result,little is known about the pathophysiology of sleep disturbances in the acute phase of COVID-19.To address this issue,we designed a longitudinal study to investigate whether alterations in brain structure occur during the acute phase of infection,and verified the results using 3-month follow-up data.A total of 26 COVID-19 patients with sleep disturbances(aged 51.5±13.57 years,8 women and 18 men),27 COVID-19 patients without sleep disturbances(aged 47.33±15.98 years,9 women and 18 men),and 31 age-and gender-matched healthy controls(aged 49.19±17.51 years,9 women and 22 men)were included in this study.Eleven COVID-19 patients with sleep disturbances were included in a longitudinal analysis.We found that COVID-19 patients with sleep disturbances exhibited brain structural changes in almost all brain lobes.The cortical thicknesses of the left pars opercularis and left precuneus were significantly negatively correlated with Pittsburgh Sleep Quality Index scores.Additionally,we observed changes in the volume of the hippocampus and its subfield regions in COVID-19 patients compared with the healthy controls.The 3-month follow-up data revealed indices of altered cerebral structure(cortical thickness,cortical grey matter volume,and cortical surface area)in the frontal-parietal cortex compared with the baseline in COVID-19 patients with sleep disturbances.Our findings indicate that the sleep disturbances patients had altered morphology in the cortical and hippocampal structures during the acute phase of infection and persistent changes in cortical regions at 3 months post-infection.These data improve our understanding of the pathophysiology of sleep disturbances caused by COVID-19.展开更多
Objective: Sleep complaints are recurrent in Geriatrics and are often attributed to physiological aging. The aim of this work is to describe subjective sleep quality and its impact on successful aging. Methods: Subjec...Objective: Sleep complaints are recurrent in Geriatrics and are often attributed to physiological aging. The aim of this work is to describe subjective sleep quality and its impact on successful aging. Methods: Subjective sleep quality was evaluated by using the Pittsburgh subjective sleep quality questionnaire. Two visual analogical scales (graduate from 0 to 10) were used to quantify perceived state of health and life satisfaction. Objective respiratory sleep parameters were also collected. Results: 370 data were analysed (46.2% of males). The average age was 73.2 +/- 1. The level of perceived state of health was 6.9 +/- 2, and life satisfaction level was 7.7 +/-2. Subjective sleep quality was significantly related to perceived health status (p = 0.034) and life satisfaction (p = 0.005). There was no significant association between sleep quality and objective respiratory sleep parameters. Conclusion: The assessment of sleep quality plays an important role in the management of elderly persons and can help them to age more successfully.展开更多
The purpose of this study was to analyze the effects of lifestyle on sleep quality in young Japanese adults. A cross-sectional study was conducted on the web. We analyzed 637 eligible subjects (316 men and 321 women) ...The purpose of this study was to analyze the effects of lifestyle on sleep quality in young Japanese adults. A cross-sectional study was conducted on the web. We analyzed 637 eligible subjects (316 men and 321 women) aged 20 - 29 years. Information on diet and individual lifestyle characteristics, including sleep quality, which was assessed using the Pittsburgh Sleep Quality Index Japanese version (PSQI-J). Results were obtained by participants completing an online questionnaire. The participants were divided into two groups based on whether they were students (“student group”) or not (“not student group”). The participants with a PSQI-J global score of 6 or higher were evaluated as low-sleep-quality. Logistic regression analyses were performed to evaluate associations of lifestyle habits with low-sleep-quality. Logistic regression analyses were applied for “student group” and “not student group”. The results showed that days of eating out at dinner (OR: 1.11, CI: 1.00 - 1.22) and skipping dinner (OR: 1.21, CI: 1.05 - 1.42) were significant and independent predictors for low-sleep-quality among the “not student group”. There were no significant and independent predictors for low-sleep-quality among “student group”. Our results suggested that excessive intake by eating out and deficient intake by skipping dinner might lead to a high PSQI-J score. It is necessary for young people to receive education on the importance of cooking their own meals for traditional and daytime eating. The implication of this study lies in the fact that we have analyzed the effects of lifestyle habits on quality of sleep.展开更多
The purpose of this study was to analyze the effects of eating out or skipping meals on the quality or quantity of sleep in young Japanese adults. We analyzed 584 eligible subjects (283 men and 301 women) aged 20 - 29...The purpose of this study was to analyze the effects of eating out or skipping meals on the quality or quantity of sleep in young Japanese adults. We analyzed 584 eligible subjects (283 men and 301 women) aged 20 - 29 years. Information on diet and individual lifestyle characteristics, including sleep quality, which was assessed by the Pittsburgh Sleep Quality Index Japanese version (PSQI-J), were obtained by participants completing an online questionnaire. Kendall’s tau coefficient was used to measure the ordinal association between diet and sleep quality. The Mann-Whitney U test was performed to evaluate differences in sleep quality by frequency of eating out and frequency of skipping meals. The results revealed a significant difference in sleep duration and PSQI-J score between people who eat out >2 times a week (“high restaurants group”) and those who do not (“low restaurants group”). Furthermore, whereas the mean sleep duration in the “high restaurants group” was 6.59 hours, the mean sleep duration in the “low restaurants group” was 6.90 hours (p = 0.007). The PSQI-J score was significantly higher in the “high restaurants group” than in the “low restaurants group” (4.91 versus 4.37, p = 0.006). Significant differences were also evident in the test’s component scores: C2, C3, and C7. No significant difference was found in sleep duration and PSQI-J score between the groups in terms of frequency of skipping meals (breakfast, lunch, and dinner). Our results suggested that excessive intake by eating out more than twice a week may lead to short sleep duration and high PSQI-J score.展开更多
This study aimed to investigate the sleep quality of medical staff in China who are combatting novel coronavirus pneumonia(COVID-19).To perform this,a survey of 127 medical staff from three separate wards(the general ...This study aimed to investigate the sleep quality of medical staff in China who are combatting novel coronavirus pneumonia(COVID-19).To perform this,a survey of 127 medical staff from three separate wards(the general ward,isolation ward,and fever clinic)of a Grade A tertiary hospital in China was conducted.The survey questionnaire measured general characteristics and included the Pittsburgh Sleep Quality Index(PSQI).We consequently found that global PSQI scores differed significantly between the different wards(χ2=44.561,P<0.001).Whilst the medical staff in the general ward did not report any sleep disturbances,those in the isolation ward and the fever clinic both exhibited various degrees of sleep disturbance(global PSQI score>7).Medical staff in the isolation ward had the worst sleep quality(mean rank=91.74),followed by those in the fever clinic(mean rank=70.52)and the general ward(mean rank=39.10),respectively.The primary sleep disturbances reported by the medical staff from the isolation ward included difficulty falling asleep(24 cases,71.42%),waking early or at night(28 cases,80%),and nightmares(18 cases,51.42%).In addition,31.42%(11 cases)of the medical staff from the isolation ward had less than six hours of sleep a night,and 65.71%(23 cases)felt that their sleep quality was poor;meanwhile,for the staff from the fever clinic these ratios were 16.67%(seven cases)and 33.33%(14 cases),respectively.In contrast,among medical staff in the general ward,98%(49 cases)reported sleeping for more than six hours a night,and 96%felt that their sleep quality was good.In conclusion,of the medical staff providing treatment for COVID-19,those in isolation wards and fever clinics are more likely to experience sleep disturbances.展开更多
Objective:To study the effect of mindfulness-based cognitive training on sleep quality and mindfulness cognitive level of college students who score below the critical value of sleep disorders.Methods:The subjects wer...Objective:To study the effect of mindfulness-based cognitive training on sleep quality and mindfulness cognitive level of college students who score below the critical value of sleep disorders.Methods:The subjects were freshmen of a university in Shanghai who had scored below the critical value of sleep disorders.They were divided into the control group and experimental group by a random number table method,with 35 students in each group.No intervention was provided in the control group,and the mindfulness-based cognitive training(1 hour per day,5 days per week for 8 consecutive weeks)was performed in the intervention group.Eight weeks later,the Pittsburgh Sleep Quality Index(PSQI)and Five Facet Mindfulness Questionnaire(FFMQ)scores were compared between the two groups before and after the intervention for changes in the sleep quality and mindfulness cognitive level.Results:The sleep quality and daytime dysfunction were significantly improved,the sleep latency was shortened,the sleep duration was prolonged(P<0.05),and the mindfulness level of the subjects was significantly improved(P<0.05)in the intervention group compared with the control group.Conclusion:Mindfulness-based cognitive training can significantly improve the sleep quality of college students who scored below the critical value of sleep disorders.Furthermore,its psychological mechanism may be associated with the improvement of the mindfulness level of college students.展开更多
BACKGROUND Little is known about the postoperative sleep quality of infective endocarditis patients during hospitalization and after discharge.AIM To investigate the sleep characteristics of infective endocarditis pat...BACKGROUND Little is known about the postoperative sleep quality of infective endocarditis patients during hospitalization and after discharge.AIM To investigate the sleep characteristics of infective endocarditis patients and to identify potential risk factors for disturbed sleep quality after surgery.METHODS The Pittsburgh Sleep Quality Index(PSQI)and the Epworth Sleepiness Scale were used to assess patient sleep quality.Logistic regression was used to explore the potential risk factors.RESULTS The study population(n=139)had an average age of 43.40±14.56 years,and 67.6%were men(n=94).Disturbed sleep quality was observed in 86 patients(61.9%)during hospitalization and remained in 46 patients(33.1%)at 6 mo after surgery.However,both PSQI and Epworth Sleepiness Scale scores showed significant improvements at 6 mo(P<0.001 and P=0.001,respectively).Multivariable logistic regression analysis showed that the potential risk factors were age(odds ratio=1.125,95%confidence interval:1.068-1.186)and PSQI assessed during hospitalization(odds ratio=1.759,95%confidence interval:1.436-2.155).The same analysis in patients with PSQI≥8 during hospitalization suggested that not using sleep medication(odds ratio=15.893,95%confidence interval:2.385-105.889)may be another risk factor.CONCLUSION The incidence of disturbed sleep after infective endocarditis surgery is high.However,the situation improves significantly over time.Age and early postoperative high PSQI score are risk factors for disturbed sleep quality at 6 mo after surgery.展开更多
AIM:To investigate the sleep quality in elderly patients with obstructive sleep apnea syndrome (OSAS). METHODS:54 cases of elderly patients with OSAS were evaluated by the pittsburgh sleep quality index (PSQI) questio...AIM:To investigate the sleep quality in elderly patients with obstructive sleep apnea syndrome (OSAS). METHODS:54 cases of elderly patients with OSAS were evaluated by the pittsburgh sleep quality index (PSQI) questionnaire. RESULTS:Among 54 OSAS patients, 35 cases (65%) reported poor quality of sleep, only 7(13%) cases reported good. A significant negative correlation was found between apnea/hypopnea index (AHI) and PSQI, and part of its components. CONCLUSION:Elderly patients with OSAS often complain of poor quality of sleep. Daytime dysfunction, poor subjective sleep quality, low habitual sleep efficiency and long sleep latency constitutes the principal parts of the symptoms about sleep.展开更多
BACKGROUND Existing research has demonstrated that depression is positively related to smartphone addiction, but the role of sleep has not been discussed thoroughly, especially among engineering undergraduates affecte...BACKGROUND Existing research has demonstrated that depression is positively related to smartphone addiction, but the role of sleep has not been discussed thoroughly, especially among engineering undergraduates affected by the coronavirus disease 2019 pandemic.AIM To evaluate sleep as a mediator of the association between smartphone addiction and depression among engineering undergraduates.METHODS Using a multistage stratified random sampling method, a cross-sectional survey was conducted among 692 engineering undergraduates from a top engineering university in China, and data were collected by self-reported electronic questionnaires. The data included demographic characteristics, such as age, gender, the Smartphone Addiction Scale-Short Version(SAS-SV), the 9-item Patient Health Questionnaire, and the Pittsburgh Sleep Quality Index. Pearson correlation and multiple linear regression analyses were used to examine the association between smartphone addiction and depression, while structural equation models were established to evaluate the possible mediating role of sleep.RESULTS Based on the cutoffs of the SAS-SV, the rate of smartphone addiction was 63.58 percent, with 56.21 percent for women and 65.68 percent for men, among 692 engineering students. The prevalence of depression among students was 14.16 percent, with 17.65 percent for women, and 13.18 percent for men. Smartphone addiction was positively correlated with depression, and sleep played a significant mediating effect between the two, accounting for 42.22 percent of the total effect. In addition, sleep latency, sleep disturbances, and daytime dysfunction significantly mediated the relationship between depression and smartphone addiction. The mediating effect of sleep latency was 0.014 [P < 0.01;95% confidence interval(CI): 0.006-0.027], the mediating effect of sleep disturbances was 0.022(P < 0.01;95%CI: 0.011-0.040), and the mediating effect of daytime dysfunction was 0.040(P < 0.01;95%CI: 0.024-0.059). The influence of sleep latency, sleep disturbances, and daytime dysfunction accounted for 18.42%, 28.95%, and 52.63% of the total mediating effect, respectively.CONCLUSION The results of the study suggest that reducing excessive smartphone use and improving sleep quality can help alleviate depression.展开更多
Deficient sleep quality (SQ) has been linked with a higher hospitalization rate and mortality in dialysis patients, however the prevalence of sleep disorders and their influence on prognosis in non-dialysis chronic ki...Deficient sleep quality (SQ) has been linked with a higher hospitalization rate and mortality in dialysis patients, however the prevalence of sleep disorders and their influence on prognosis in non-dialysis chronic kidney disease (CKD) has been poorly investigated. The aim of this study was to assess factors related with SQ in CKD patients (stages I-IV) followed in a nephrology outpatient clinic as well as the long-term impact of SQ on patient’s outcome. Between January and May 2008, Pittsburgh Sleep Quality Index (PSQI) was self-administered by 122 patients (68 males and 54 females) with a mean age of 65 years. Patients were classified as “good” (global PSQI < 6) and “poor” sleepers (global PSQI ≥ 6). We identified 66 (54%) poor sleepers (PS), characterized by an older age (66 ± 14.2 vs 57 ± 17.0, p < 0.01), female predominance (59% vs 26%, p < 0.01) and worse renal function (49 ± 19.1 vs 57 ± 23.2 ml/min, p < 0.05). There was a significant correlation between phosphate and PSQI score (r = 0.234, p = 0.01), however no correlation with calcium or PTH. Vitamin D was also lower in PS (17 ± 7.2 vs 23 ± 15.1 ng/ml, p < 0.05). Until June 2015, hospitalization rate was higher among PS (64% vs 44%, p < 0.05). In this period, there was also a trend towards higher mortality for PS (18% vs 16%). In summary, over 50% of CKD patients have poor SQ, which was associated with older age, female gender, worse renal function, lower vitamin D and higher phosphate levels. Deficient sleep was associated with a greater probability of hospitalization and might be a prognostic marker in CKD.展开更多
Background: Experimental and observational studies have indicated that poor sleep quantity and quality are associated with an increased risk of chronic diseases including insulin resistance. Additionally, sleep disord...Background: Experimental and observational studies have indicated that poor sleep quantity and quality are associated with an increased risk of chronic diseases including insulin resistance. Additionally, sleep disorders have been reported to aggravate diabetes due to decreased glucose metabolism and elevated cortisol levels as well as it can increase the risk for the development of diabetes. Objectives: To assess the sleep quality and its determinants and impact on glycemic control of type II diabetic patients. Methods: A cross sectional study was adopted among a representative sample of patients diagnosed with type II Diabetes seen in Prince Mansour Military Hospital Diabetic Center in Taif throughout the study period (March-July 2021). A self-administered questionnaire was utilized in the present study including 5 main parts: demographic data of the patients, medical and social history, the Pittsburgh Sleep Quality Index (PSQI) to assess the subjective sleep quality, weight and height measurements and the most recent glycated hemoglobin (HbA1c) level. Results: The study included 270 type II diabetic patients out of a targeted 282 with a response rate of 95.7%. Most of them aged either between 51 and 60 years (34.8%) or over 60 years (42%). Females represent 63% of them. Majority of patients (87.8%) had HbA1c ≥ 7%, indicating uncontrolled blood glucose levels. Overall, poor sleep quality, based on PSQI was observed among 41.1% of type II diabetic patients. Results of multivariate logistic regression analysis revealed that compared to patients whose income was lower than 5000 SR/month, those with income of 50,001 - 1000 and >15,000 SR/month were at lower significant risk for having poor sleep (Adjusted odds ratio “AOR” = 0.44, 95% confidence interval “CI” = 0.22 - 0.86, p = 0.016 and AOR = 0.21, 95% CI = 0.06 - 0.77, p = 0.019;respectively). Opposed to diabetic patients with a duration of less than one year of DM, those with a duration exceeding 10 years were at almost 6-folds higher risk for poor sleep quality (AOR = 6.39, 95% CI = 1.12 - 36.43, p = 0.037). Patients with a history of social stressors were at a higher significant risk for poor sleep quality compared to those without such a history (AOR = 4.99, 95% CI = 1.71 - 14.67, p = 0.003). Conclusion: A considerable proportion of type II diabetic patients attending the diabetic center, Prince Manasour Military hospital in Taif, Kingdom of Saudi Arabia expressed poor sleep quality. However, there was no association between glycemic control level and poor sleep quality.展开更多
文摘BACKGROUND Poor sleep quality is common among hemodialysis patients and can significantly impact their well-being.This study aimed to evaluate the effectiveness of a structured nursing intervention program in improving sleep quality in middleaged and elderly hemodialysis patients.AIM To evaluate the impact of nursing intervention on sleep quality in hemodialysis patients.METHODS This cross-sectional study was conducted in a tertiary hospital,the First Affiliated Hospital of Nanchang University,in 2023.This study included 105 middle-aged and elderly hemodialysis patients aged≥45 years who underwent maintenance hemodialysis for at least 3 mo,utilizing the Pittsburgh Sleep Quality Index(PSQI)to identify poor sleepers.Those identified underwent a 12-wk nursing intervention program focusing on education,relaxation techniques,and counseling.Post-intervention,sleep quality was reassessed using the PSQI.RESULTS The study found that 68.6%of hemodialysis patients were poor sleepers.Following the 12-wk nursing intervention program,there was a significant decrease in the mean global PSQI score from 8.9±3.2 to 5.1±2.7(P<0.001),indicating improved sleep quality.This demonstrated the effectiveness of the structured nursing intervention in enhancing sleep quality for middle-aged and elderly hemodialysis patients.CONCLUSION The structured nursing intervention program focusing on sleep hygiene education,relaxation techniques,and counseling effectively improved sleep quality among middle-aged and elderly hemodialysis patients.The significant decrease in the mean global PSQI score post-intervention indicates the positive impact of tailored nursing interventions in addressing poor sleep quality in this patient population.These findings emphasize the importance of implementing targeted nursing interventions to enhance the quality of life for hemodialysis patients by addressing the prevalent issue of poor sleep quality.
文摘BACKGROUND Sleep disturbance on the first postoperative night commonly develops for patients after day surgeries. The choice of either total intravenous anesthesia by propofol or total inhalation anesthesia with sevoflurane has become an issue for preventing sleep disturbance.AIM To compare sleep quality on the first postoperative night for female patients after total intravenous anesthesia by propofol and total inhalation anesthesia with sevoflurane.METHODS We enrolled 61 American Society of Anesthesia(ASA) class Ⅰ-Ⅱ outpatients who underwent minor gynecologic surgeries by either propofol or sevoflurane anesthesia. Sleep quality of the very night was assessed by the Pittsburgh Sleep Quality Index(PSQI) on the next day, and PSQI scores were compared by the Wilcoxon signed-rank test and paired t-test pre-operatively and postoperatively.RESULTS For the propofol group, the mean postoperative global PSQI score(3.3 ± 1.3) was lower than the mean preoperative global PSQI score(4.9 ± 2.3)(P < 0.001);for the sevoflurane group, the mean postoperative global PSQI score(6.5 ± 2.8) was higher than the mean preoperative global PSQI score(5.5 ± 3.2)(P = 0.02). Eighty percent of patients receiving propofol anesthesia subjectively reported improved sleep quality, but only 17% of patients receiving sevoflurane anesthesia reported improved sleep quality.CONCLUSION Sleep quality assessed by the PSQI is better improved in ASA class Ⅰ-Ⅱ female patients receiving propofol anesthesia other than sevoflurane anesthesia for undergoing minor gynecologic surgeries.
文摘Objective:The aim of the study was to evaluate the quality of sleep in nurses performing shift work in therapeutic and surgical depar tments and to establish possible relationships between level of blood pressure(BP)and quality of sleep.Methods:A total of 20 nurses of the therapeutic depar tments and 20 nurses of the surgical depar tments were enrolled in the study.Sleep quality was assessed using the Pittsburgh Sleep Quality Index(PSQI).BP was measured according to the standard protocol using the Korotkoff method;a sphygmomanometer was used for this twice with an interval of 2 min between 10:00 a.m.and 10:30 a.m.The average value for the 2 indicators was calculated.The diagnosis of essential ar terial hyper tension(AH)was established according to the recommendations of the European Association of Cardiology and the European Association of Hypertension(2018).Results:The overall assessment of the sleep quality of the nurses involved in shift work indicates poor sleep quality;this was true in respondents of both the surgical and therapeutic profiles.However,it was observed that the quality of sleep was significantly lower in nurses of the therapeutic departments.Moreover,poor sleep quality was associated with AH,which was diagnosed in 65%of the nurses of the therapeutic departments and 45%of the nurses of the surgical departments,that is,in almost all of the subjects.Herewith,in the nurses of the therapeutic departments,the level of systolic BP exceeded that of the nurses of the surgical departments.Conclusions:Poor sleep quality is a significant risk factor for AH development and is relevant to nurses performing shift work.Additional clinical studies should be conducted to better understand the mechanisms underlying such adverse cardiometabolic outcomes associated with sleep disorders in the health-sector shift workers.
基金Supported by Beijing Traditional Chinese Medicine Science and Technology Development Fund Project,No.JJ2018-62National Key Research and Development Program of China,No.2020YFC2002700.
文摘BACKGROUND Depression is the most common type of depressive disorder.The most common sleep disorder associated with depression is insomnia.Insomnia and depression are closely related.AIM To investigate the relationship of designed questionnaire items and depression,and analyze the related factors with depression.METHODS Questionnaire included Patient Health Questionnaire-9(PHQ-9)and Pittsburgh sleep quality index(PSQI),12 kinds of diseases,8 general characteristics,and 20 insomnia characteristics,totally 56 items were filled out by 411 patients enrolled.RESULTS All the 9 items of PHQ-9,6 components of PSQI(except sleep duration),education,living situation,exercise,years of insomnia,western medicine treatment,Chinese medicine treatment,psychotherapy,kinds of insomnia,treatment expected to treat insomnia,psychological counseling,habit of 1 h before bed,habit of lunch break,diagnosed depression,coronary heart disease,mental illness showed significant difference between without and with depression group.By univariate analysis and multivariate analysis.The odds ratio of education,exercise,kinds of insomnia,habit of 1 h before bed,diagnosed depression,coronary heart disease(P=0.01)showed significant difference.Their odds ratios were 0.71(0.55,0.93),2.09(1.32,3.31),0.76(0.63,0.91),0.89(0.81,0.98),0.32(0.17,0.60),0.43(0.23,0.79).CONCLUSION We demonstrated that education,exercise,kinds of insomnia,habit of 1 h before bed,diagnosed depression and coronary heart disease affect the depression.
基金supported by grants from Major Project of Science and Technology of Guangxi Zhuang Autonomous Region,No.Guike-AA22096018(to JY)Guangxi Key Research and Development Program,No.AB22080053(to DD)+6 种基金Major Project of Science and Technology of Guangxi Zhuang Autonomous Region,No.Guike-AA23023004(to MZ)the National Natural Science Foundation of China,Nos.82260021(to MZ),82060315(to DD)the Natural Science Foundation of Guangxi Zhuang Autonomous Region,No.2021GXNSFBA220007(to GD)Clinical Research Center For Medical Imaging in Hunan Province,No.2020SK4001(to JL)Key Emergency Project of Pneumonia Epidemic of Novel Coronavirus Infection in Hunan Province,No.2020SK3006(to JL)Science and Technology Innovation Program of Hunan Province,No.2021RC4016(to JL)Key Project of the Natural Science Foundation of Hunan Province,No.2024JJ3041(to JL).
文摘Sleep disturbances are among the most prevalent neuropsychiatric symptoms in individuals who have recovered from severe acute respiratory syndrome coronavirus 2 infections.Previous studies have demonstrated abnormal brain structures in patients with sleep disturbances who have recovered from coronavirus disease 2019(COVID-19).However,neuroimaging studies on sleep disturbances caused by COVID-19 are scarce,and existing studies have primarily focused on the long-term effects of the virus,with minimal acute phase data.As a result,little is known about the pathophysiology of sleep disturbances in the acute phase of COVID-19.To address this issue,we designed a longitudinal study to investigate whether alterations in brain structure occur during the acute phase of infection,and verified the results using 3-month follow-up data.A total of 26 COVID-19 patients with sleep disturbances(aged 51.5±13.57 years,8 women and 18 men),27 COVID-19 patients without sleep disturbances(aged 47.33±15.98 years,9 women and 18 men),and 31 age-and gender-matched healthy controls(aged 49.19±17.51 years,9 women and 22 men)were included in this study.Eleven COVID-19 patients with sleep disturbances were included in a longitudinal analysis.We found that COVID-19 patients with sleep disturbances exhibited brain structural changes in almost all brain lobes.The cortical thicknesses of the left pars opercularis and left precuneus were significantly negatively correlated with Pittsburgh Sleep Quality Index scores.Additionally,we observed changes in the volume of the hippocampus and its subfield regions in COVID-19 patients compared with the healthy controls.The 3-month follow-up data revealed indices of altered cerebral structure(cortical thickness,cortical grey matter volume,and cortical surface area)in the frontal-parietal cortex compared with the baseline in COVID-19 patients with sleep disturbances.Our findings indicate that the sleep disturbances patients had altered morphology in the cortical and hippocampal structures during the acute phase of infection and persistent changes in cortical regions at 3 months post-infection.These data improve our understanding of the pathophysiology of sleep disturbances caused by COVID-19.
文摘Objective: Sleep complaints are recurrent in Geriatrics and are often attributed to physiological aging. The aim of this work is to describe subjective sleep quality and its impact on successful aging. Methods: Subjective sleep quality was evaluated by using the Pittsburgh subjective sleep quality questionnaire. Two visual analogical scales (graduate from 0 to 10) were used to quantify perceived state of health and life satisfaction. Objective respiratory sleep parameters were also collected. Results: 370 data were analysed (46.2% of males). The average age was 73.2 +/- 1. The level of perceived state of health was 6.9 +/- 2, and life satisfaction level was 7.7 +/-2. Subjective sleep quality was significantly related to perceived health status (p = 0.034) and life satisfaction (p = 0.005). There was no significant association between sleep quality and objective respiratory sleep parameters. Conclusion: The assessment of sleep quality plays an important role in the management of elderly persons and can help them to age more successfully.
文摘The purpose of this study was to analyze the effects of lifestyle on sleep quality in young Japanese adults. A cross-sectional study was conducted on the web. We analyzed 637 eligible subjects (316 men and 321 women) aged 20 - 29 years. Information on diet and individual lifestyle characteristics, including sleep quality, which was assessed using the Pittsburgh Sleep Quality Index Japanese version (PSQI-J). Results were obtained by participants completing an online questionnaire. The participants were divided into two groups based on whether they were students (“student group”) or not (“not student group”). The participants with a PSQI-J global score of 6 or higher were evaluated as low-sleep-quality. Logistic regression analyses were performed to evaluate associations of lifestyle habits with low-sleep-quality. Logistic regression analyses were applied for “student group” and “not student group”. The results showed that days of eating out at dinner (OR: 1.11, CI: 1.00 - 1.22) and skipping dinner (OR: 1.21, CI: 1.05 - 1.42) were significant and independent predictors for low-sleep-quality among the “not student group”. There were no significant and independent predictors for low-sleep-quality among “student group”. Our results suggested that excessive intake by eating out and deficient intake by skipping dinner might lead to a high PSQI-J score. It is necessary for young people to receive education on the importance of cooking their own meals for traditional and daytime eating. The implication of this study lies in the fact that we have analyzed the effects of lifestyle habits on quality of sleep.
文摘The purpose of this study was to analyze the effects of eating out or skipping meals on the quality or quantity of sleep in young Japanese adults. We analyzed 584 eligible subjects (283 men and 301 women) aged 20 - 29 years. Information on diet and individual lifestyle characteristics, including sleep quality, which was assessed by the Pittsburgh Sleep Quality Index Japanese version (PSQI-J), were obtained by participants completing an online questionnaire. Kendall’s tau coefficient was used to measure the ordinal association between diet and sleep quality. The Mann-Whitney U test was performed to evaluate differences in sleep quality by frequency of eating out and frequency of skipping meals. The results revealed a significant difference in sleep duration and PSQI-J score between people who eat out >2 times a week (“high restaurants group”) and those who do not (“low restaurants group”). Furthermore, whereas the mean sleep duration in the “high restaurants group” was 6.59 hours, the mean sleep duration in the “low restaurants group” was 6.90 hours (p = 0.007). The PSQI-J score was significantly higher in the “high restaurants group” than in the “low restaurants group” (4.91 versus 4.37, p = 0.006). Significant differences were also evident in the test’s component scores: C2, C3, and C7. No significant difference was found in sleep duration and PSQI-J score between the groups in terms of frequency of skipping meals (breakfast, lunch, and dinner). Our results suggested that excessive intake by eating out more than twice a week may lead to short sleep duration and high PSQI-J score.
文摘This study aimed to investigate the sleep quality of medical staff in China who are combatting novel coronavirus pneumonia(COVID-19).To perform this,a survey of 127 medical staff from three separate wards(the general ward,isolation ward,and fever clinic)of a Grade A tertiary hospital in China was conducted.The survey questionnaire measured general characteristics and included the Pittsburgh Sleep Quality Index(PSQI).We consequently found that global PSQI scores differed significantly between the different wards(χ2=44.561,P<0.001).Whilst the medical staff in the general ward did not report any sleep disturbances,those in the isolation ward and the fever clinic both exhibited various degrees of sleep disturbance(global PSQI score>7).Medical staff in the isolation ward had the worst sleep quality(mean rank=91.74),followed by those in the fever clinic(mean rank=70.52)and the general ward(mean rank=39.10),respectively.The primary sleep disturbances reported by the medical staff from the isolation ward included difficulty falling asleep(24 cases,71.42%),waking early or at night(28 cases,80%),and nightmares(18 cases,51.42%).In addition,31.42%(11 cases)of the medical staff from the isolation ward had less than six hours of sleep a night,and 65.71%(23 cases)felt that their sleep quality was poor;meanwhile,for the staff from the fever clinic these ratios were 16.67%(seven cases)and 33.33%(14 cases),respectively.In contrast,among medical staff in the general ward,98%(49 cases)reported sleeping for more than six hours a night,and 96%felt that their sleep quality was good.In conclusion,of the medical staff providing treatment for COVID-19,those in isolation wards and fever clinics are more likely to experience sleep disturbances.
基金supported by National Natural Science Foundation of China(NO.81673911).
文摘Objective:To study the effect of mindfulness-based cognitive training on sleep quality and mindfulness cognitive level of college students who score below the critical value of sleep disorders.Methods:The subjects were freshmen of a university in Shanghai who had scored below the critical value of sleep disorders.They were divided into the control group and experimental group by a random number table method,with 35 students in each group.No intervention was provided in the control group,and the mindfulness-based cognitive training(1 hour per day,5 days per week for 8 consecutive weeks)was performed in the intervention group.Eight weeks later,the Pittsburgh Sleep Quality Index(PSQI)and Five Facet Mindfulness Questionnaire(FFMQ)scores were compared between the two groups before and after the intervention for changes in the sleep quality and mindfulness cognitive level.Results:The sleep quality and daytime dysfunction were significantly improved,the sleep latency was shortened,the sleep duration was prolonged(P<0.05),and the mindfulness level of the subjects was significantly improved(P<0.05)in the intervention group compared with the control group.Conclusion:Mindfulness-based cognitive training can significantly improve the sleep quality of college students who scored below the critical value of sleep disorders.Furthermore,its psychological mechanism may be associated with the improvement of the mindfulness level of college students.
基金Supported by Science and Technology Planning Project of Guangdong Province,No.A2016057.
文摘BACKGROUND Little is known about the postoperative sleep quality of infective endocarditis patients during hospitalization and after discharge.AIM To investigate the sleep characteristics of infective endocarditis patients and to identify potential risk factors for disturbed sleep quality after surgery.METHODS The Pittsburgh Sleep Quality Index(PSQI)and the Epworth Sleepiness Scale were used to assess patient sleep quality.Logistic regression was used to explore the potential risk factors.RESULTS The study population(n=139)had an average age of 43.40±14.56 years,and 67.6%were men(n=94).Disturbed sleep quality was observed in 86 patients(61.9%)during hospitalization and remained in 46 patients(33.1%)at 6 mo after surgery.However,both PSQI and Epworth Sleepiness Scale scores showed significant improvements at 6 mo(P<0.001 and P=0.001,respectively).Multivariable logistic regression analysis showed that the potential risk factors were age(odds ratio=1.125,95%confidence interval:1.068-1.186)and PSQI assessed during hospitalization(odds ratio=1.759,95%confidence interval:1.436-2.155).The same analysis in patients with PSQI≥8 during hospitalization suggested that not using sleep medication(odds ratio=15.893,95%confidence interval:2.385-105.889)may be another risk factor.CONCLUSION The incidence of disturbed sleep after infective endocarditis surgery is high.However,the situation improves significantly over time.Age and early postoperative high PSQI score are risk factors for disturbed sleep quality at 6 mo after surgery.
文摘AIM:To investigate the sleep quality in elderly patients with obstructive sleep apnea syndrome (OSAS). METHODS:54 cases of elderly patients with OSAS were evaluated by the pittsburgh sleep quality index (PSQI) questionnaire. RESULTS:Among 54 OSAS patients, 35 cases (65%) reported poor quality of sleep, only 7(13%) cases reported good. A significant negative correlation was found between apnea/hypopnea index (AHI) and PSQI, and part of its components. CONCLUSION:Elderly patients with OSAS often complain of poor quality of sleep. Daytime dysfunction, poor subjective sleep quality, low habitual sleep efficiency and long sleep latency constitutes the principal parts of the symptoms about sleep.
基金Supported by the Strategic Research Project on the Cultivation Reform of Outstanding Engineers sponsored by Beihang University,No.2022-0202-13.
文摘BACKGROUND Existing research has demonstrated that depression is positively related to smartphone addiction, but the role of sleep has not been discussed thoroughly, especially among engineering undergraduates affected by the coronavirus disease 2019 pandemic.AIM To evaluate sleep as a mediator of the association between smartphone addiction and depression among engineering undergraduates.METHODS Using a multistage stratified random sampling method, a cross-sectional survey was conducted among 692 engineering undergraduates from a top engineering university in China, and data were collected by self-reported electronic questionnaires. The data included demographic characteristics, such as age, gender, the Smartphone Addiction Scale-Short Version(SAS-SV), the 9-item Patient Health Questionnaire, and the Pittsburgh Sleep Quality Index. Pearson correlation and multiple linear regression analyses were used to examine the association between smartphone addiction and depression, while structural equation models were established to evaluate the possible mediating role of sleep.RESULTS Based on the cutoffs of the SAS-SV, the rate of smartphone addiction was 63.58 percent, with 56.21 percent for women and 65.68 percent for men, among 692 engineering students. The prevalence of depression among students was 14.16 percent, with 17.65 percent for women, and 13.18 percent for men. Smartphone addiction was positively correlated with depression, and sleep played a significant mediating effect between the two, accounting for 42.22 percent of the total effect. In addition, sleep latency, sleep disturbances, and daytime dysfunction significantly mediated the relationship between depression and smartphone addiction. The mediating effect of sleep latency was 0.014 [P < 0.01;95% confidence interval(CI): 0.006-0.027], the mediating effect of sleep disturbances was 0.022(P < 0.01;95%CI: 0.011-0.040), and the mediating effect of daytime dysfunction was 0.040(P < 0.01;95%CI: 0.024-0.059). The influence of sleep latency, sleep disturbances, and daytime dysfunction accounted for 18.42%, 28.95%, and 52.63% of the total mediating effect, respectively.CONCLUSION The results of the study suggest that reducing excessive smartphone use and improving sleep quality can help alleviate depression.
文摘Deficient sleep quality (SQ) has been linked with a higher hospitalization rate and mortality in dialysis patients, however the prevalence of sleep disorders and their influence on prognosis in non-dialysis chronic kidney disease (CKD) has been poorly investigated. The aim of this study was to assess factors related with SQ in CKD patients (stages I-IV) followed in a nephrology outpatient clinic as well as the long-term impact of SQ on patient’s outcome. Between January and May 2008, Pittsburgh Sleep Quality Index (PSQI) was self-administered by 122 patients (68 males and 54 females) with a mean age of 65 years. Patients were classified as “good” (global PSQI < 6) and “poor” sleepers (global PSQI ≥ 6). We identified 66 (54%) poor sleepers (PS), characterized by an older age (66 ± 14.2 vs 57 ± 17.0, p < 0.01), female predominance (59% vs 26%, p < 0.01) and worse renal function (49 ± 19.1 vs 57 ± 23.2 ml/min, p < 0.05). There was a significant correlation between phosphate and PSQI score (r = 0.234, p = 0.01), however no correlation with calcium or PTH. Vitamin D was also lower in PS (17 ± 7.2 vs 23 ± 15.1 ng/ml, p < 0.05). Until June 2015, hospitalization rate was higher among PS (64% vs 44%, p < 0.05). In this period, there was also a trend towards higher mortality for PS (18% vs 16%). In summary, over 50% of CKD patients have poor SQ, which was associated with older age, female gender, worse renal function, lower vitamin D and higher phosphate levels. Deficient sleep was associated with a greater probability of hospitalization and might be a prognostic marker in CKD.
文摘Background: Experimental and observational studies have indicated that poor sleep quantity and quality are associated with an increased risk of chronic diseases including insulin resistance. Additionally, sleep disorders have been reported to aggravate diabetes due to decreased glucose metabolism and elevated cortisol levels as well as it can increase the risk for the development of diabetes. Objectives: To assess the sleep quality and its determinants and impact on glycemic control of type II diabetic patients. Methods: A cross sectional study was adopted among a representative sample of patients diagnosed with type II Diabetes seen in Prince Mansour Military Hospital Diabetic Center in Taif throughout the study period (March-July 2021). A self-administered questionnaire was utilized in the present study including 5 main parts: demographic data of the patients, medical and social history, the Pittsburgh Sleep Quality Index (PSQI) to assess the subjective sleep quality, weight and height measurements and the most recent glycated hemoglobin (HbA1c) level. Results: The study included 270 type II diabetic patients out of a targeted 282 with a response rate of 95.7%. Most of them aged either between 51 and 60 years (34.8%) or over 60 years (42%). Females represent 63% of them. Majority of patients (87.8%) had HbA1c ≥ 7%, indicating uncontrolled blood glucose levels. Overall, poor sleep quality, based on PSQI was observed among 41.1% of type II diabetic patients. Results of multivariate logistic regression analysis revealed that compared to patients whose income was lower than 5000 SR/month, those with income of 50,001 - 1000 and >15,000 SR/month were at lower significant risk for having poor sleep (Adjusted odds ratio “AOR” = 0.44, 95% confidence interval “CI” = 0.22 - 0.86, p = 0.016 and AOR = 0.21, 95% CI = 0.06 - 0.77, p = 0.019;respectively). Opposed to diabetic patients with a duration of less than one year of DM, those with a duration exceeding 10 years were at almost 6-folds higher risk for poor sleep quality (AOR = 6.39, 95% CI = 1.12 - 36.43, p = 0.037). Patients with a history of social stressors were at a higher significant risk for poor sleep quality compared to those without such a history (AOR = 4.99, 95% CI = 1.71 - 14.67, p = 0.003). Conclusion: A considerable proportion of type II diabetic patients attending the diabetic center, Prince Manasour Military hospital in Taif, Kingdom of Saudi Arabia expressed poor sleep quality. However, there was no association between glycemic control level and poor sleep quality.
