Mean Global Pittsburgh Sleep Quality Index Score Research Articles

Sleep quality in middle-aged and elderly hemodialysis patients: Impact of a structured nursing intervention program.

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 middle-aged and elderly hemodialysis patients. To evaluate the impact of nursing intervention on sleep quality in hemodialysis patients. 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. 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. 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.

Effect of music therapy combined with aerobic exercise on sleep quality among breast cancer patients undergoing chemotherapy after a radical mastectomy: a randomized controlled trial

PurposeWe aimed to study the effect of music therapy combined with aerobic exercise on the sleep quality of patients undergoing chemotherapy after a radical mastectomy.MethodsA randomized controlled trial was conducted at the Breast Disease Diagnosis and Treatment Center, Shaanxi Province Tumor Hospital, from July 2017 to June 2019. 110 female breast cancer patients who underwent a radical mastectomy were recruited and randomly allocated into an intervention group or a control group. The intervention group completed music therapy combined with aerobic exercise from the first to the sixth admission to the hospital for chemotherapy, while the control group received only routine nursing care. The sleep quality of these patients was measured using the Pittsburgh Sleep Quality Index (PSQI). A linear mixed model was used to adjust the PSQI of patients after controlling for other confounding factors.ResultsThe mean sleep quality score of the breast cancer patients who received chemotherapy after a radical mastectomy (baseline) was 8.86 ± 2.34. The intervention group had a significantly lower mean global PSQI score than the control group from the first test to the third test, with an adjusted mean difference of -1.05 (95%CI: -1.86, -0.24; P = 0.01), -2.89 (95%CI: -3.70, -2.08; P < 0.001) and − 4.84 (95%CI: -5.65, -4.03; P < 0.001), respectively. A change in the global PSQI score from baseline for the intervention group was from 0.55 (95%CI: -0.24, 1.34; P = 0.171) at the first test to 2.75 (95%CI: 1.96, 3.53; P < 0.001) at the last test, and for the control group was from − 0.51 (95%CI: -1.31, 0.29; P = 0.213 at the first test to -2.10 (95%CI: -2.91, -1.30; P < 0.001) at the last test.ConclusionsAn intervention of music therapy combined with aerobic exercise can significantly improve the sleep quality of female breast cancer patients undergoing chemotherapy after a radical mastectomy, and this intervention continuously improves many aspects of sleep reactivity.Clinical trial registrationThis study was registered in the Chinese Clinical Trial Registry (ChiCTR2100042975, 02/02/2021).

Sleep quality among medical students during third wave of COVID-19 pandemic: A cross-sectional study in Government Medical College Jammu

Background: COVID-19 has caused lot of suffering for everyone. Hundreds of thousands of people were affected in all aspects. Increased stress due to the pandemic may affect medical students' sleep quality. The authors aimed to evaluate the sleep quality of medical students during pandemic and relationship, if any, between sleep quality and and socio-demographic variables. Methods: An online survey of medical students was conducted in January 2022, when India was in third wave of pandemic. This cross-sectional study was conducted using the Pittsburgh Sleep Quality Index (PSQI) questionnaire at a tertiary teaching hospital in Jammu, UT, J&amp;K, India. Results: Among 307 participants, mean global PSQI score was 9.91± 3.62 which indicated a poor quality of sleep. Among the component scores, habitual sleep efficiency had the highest score of 2.99± 0.16. Majority (91.53%) of the respondents had a poor sleep quality with global PSQI score &gt;5. Among the socio-demographic variables, alcohol intake and any conflict in the family were found to be statistically significant (p&lt;0.05). Conclusion: Nine out of ten medical students have insufficient sleep, which is a real cause for concern. The authors recommend that stress management (anxiety), lifestyle changes, and sleep training be included in the medical record and updated regularly.

Effect of Internet Addiction on Sleep Quality and Academic Performance in Undergraduate Dental Students

Abstract Aim This study aimed to evaluate the prevalence of Internet addiction and its effect on sleep patterns and university academic performance among dental undergraduates. Methodology A total of 400 dental undergraduates were targeted in a cross-sectional setting. The students were invited to fill out a pretested questionnaire consisting of the Pittsburgh Sleep Quality Index (PSQI) and the Internet Addiction Test. Data was analyzed using the Statistical Package for Social Science (SPSS) software (version 20.0). Frequencies and percentages along with mean and standard deviation were calculated. Results A total of 274 study subjects participated in the study out of which the majority of respondents were females (N = 230; 83.9%). Seventy-six percent of the population was using the Internet for 0 to 6 hours. Excellent academic performance scores have not been reported in any of the years except the second year. The mean global PSQI score and Internet addiction score both are seen to be reducing as the year of study increases. Internet addiction is positively associated with poor PSQI scores. Conclusion The authors concluded that adequate sleep is undoubtedly the most important factor. Internet usage is a dynamic issue; the students need to manage it in a strict schedule to manage a decent total sleeping time.

Sleep disorders in patients with endometriosis; a cross-sectional study

BackgroundEndometriosis affects 10–15% of women of reproductive age and is considered a critical gynecological problem. Endometriosis causes pain and infertility, both of which can impair the patient’s quality of life. Sleep disorders account for the most bothersome presentation of impaired quality of life. This study investigated the frequency and severity of sleep disorders in women with endometriosis.MethodsIn this analytical cross-sectional study, 665 women referred to three hospitals in Tehran, Rasool-e-Akram, Pars, and Nikan, were included (463 patients with endometriosis and 202 women without endometriosis). All of them were informed about the study design and the aim of the research, and then they were asked to sign the consent form and complete the Pittsburgh Sleep Quality Index (PSQI). After data gathering and entering, they were analyzed by SPSS version 22 and were considered significant with P < 0.05.ResultsThe study population’s mean age was 35.4 ± 7.9 years. The mean global PSQI score in the case group (endometriosis patients) was higher than in the control group (non-endometriosis patients) (10.6 vs. 7.1; P < 0.001). Patients with dyspareunia, dysuria, pelvic pain, and dyschezia had a significantly higher PSQI score (P < 0.05).ConclusionAccording to the findings of the present study, the sleep quality in endometriosis patients is low, and there is a need to pay greater attention to these patients. This may result in some changes in the therapeutic strategies for this disease.

The Nexus of Sleep Disorders and Violence in Patients with Schizophrenia: What do the Data Say?

IntroductionOne of the common symptoms of schizophrenia is sleep disturbances, which can have a significant impact on the quality of life of patients. Several studies suggest the existence of a complex link between sleep disorders and agressive behavior in patients with schizophrenia.Objectivesto determine the impact of sleep disorders on aggressive behavior in patients with schizophrenia.MethodsWe conducted a cross-sectional, descriptive, and analytical study that took place over a period of one month (from 1st to 31nd March 2023) with patients consulting the post-cure of Psychiatry Service D at Razi Hospital, Tunisia. We included patients diagnosed with schizophrenia according to DSM5, and stabilized on a psychiatric plan. We used the Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality over a period of one month. The Buss &amp; Perry Aggression Questionnaire (QABP) was used to measure aspects of aggression. We used the Adult Social Relationships Scales (ASRS), part of the National Institute of Health (NIH) toolkit, assessing six domains of social relationships: perceived rejection, perceived hostility, loneliness, friendship, instrumental support and emotional support.ResultsWe collected data from 40 male patients with a mean age of 42.5 ± 14.02. The mean global PSQI score was 9.23 ± 4.58.Ten patients were on typical antipsychotics, 25 patients were on atypical antipsychotics, and the remaining five patients were on a combination therapy (both atypical and typical antipsychotics). Regarding the use of benzodiazepines, 34 patients were taking lorazepam at a dose of 2.5 to 5 mg per day. he mean QABP global score was 45 ± 12.3 out of 72.For the subjective evaluation, all patients self-reported feeling “irritable,” “dysphoric,” “unable to communicate with others,” and “wanting to break objects” when they experienced insomnia.We found a statistically significant association between QABP and daytime dysfunction (p=0.003).The overall PSQI score was higher, and statistically significantly associated, in patients who reported low emotional support (p=0.018) and perceived social rejection (p=0.04).ConclusionsAn integrated approach that includes the evaluation of sleep disorders, as well as the prevention and management of violence, can play a key role in the overall improvement of the mental health of patients with schizophrenia.Disclosure of InterestNone Declared

Sleep Quality and its Daytime Effects among University Students in the UAE.

To determine the irregularity in the sleep schedule among university students in the UAE and determine its correlation with poor sleep quality, daytime sleepiness, and fatigue. This observational cross-sectional survey was electronically conducted among undergraduate students of Ajman University during the academic year 2022-2023. The participants were selected using a simple random sampling method. The instruments for data collection comprised of sleep schedule questionnaire, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Fatigue Severity Scale. Data was subjected to chi-square analysis, Mann-Whitney U test, Wilcoxon rank-sum test, and Spearman's correlation. Of the 537 participants, 353 (65.7%) were female. The majority (57.2%) kept highly irregular bedtimes. The cohort's mean global PSQI score was 8.9±3.0 indicating poor sleep quality. There was a positive correlation between the irregular bedtime frequency and the global PSQI score (r = 0.311; p < 0.010). Most (70.8%) participants had a total high Fatigue Severity Scale score of ≥ 36. The scores of women (41.0±10.5) were significantly higher than those of men (38.5±11.0) (p =0.006). Around 53.0% of the participants had high ESS scores indicating excessive daytime sleepiness. There was also a significant correlation between ESS score and irregular bedtime frequency (r = 0.113; p =0.009). The students at Ajman University had a high prevalence of irregular bedtime and inadequate sleeping hours. This was affecting their sleep quality and causing excessive daytime sleepiness. The students, especially women, were suffering from fatigue, potentially affecting their normal functionality. It is crucial to encourage students to establish regular sleep patterns and improve sleep habits to promote their productivity and general well-being.

Poor Sleep Quality in Jamaican Adults With Sickle Cell Disease: Prevalence, Risk Factors, and Association With Quality of Life

Poor sleep and chronic illnesses have a bidirectional relationship where presence of one can worsen the other. Sickle cell disease (SCD) is associated with significant morbidity and early mortality. In this study, we examine sleep quality, its predictors, and its association with quality of life in Jamaican adults with SCD. This cross-sectional study evaluated 177 well adult SCD patients for sleep quality using The Pittsburgh Sleep Quality Index (PSQI) and quality of life using the Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me). Multiple linear regression models examined the predictors of poor sleep quality. The mean global PSQI score was 6.9 (SD 4.2) with 56.5% having poor sleep quality. Women had significantly worse scores for sleep efficiency (p 0.005), sleep latency (p 0.03) and higher use of sleeping medications (p 0.02). Those overweight/obese had significantly worse subjective sleep quality (p 0.001) and sleep efficiency (p 0.05). In multivariate regression analysis, overweight individuals had poorer sleep quality (OR: 2.9; 95% C.I.: 1.07, 7.88) than those with normal weight whereas those unemployed and looking for a job had lower prevalence of poor sleep quality (OR 0.2; 95% C.I.: 0.05, 0.77) compared to employed individuals. Participants with good sleep quality had significantly better functioning in all 5 domains of the ASCQ-Me. In conclusion, persons with SCD who are overweight or obese are at increased risk of poor sleep which can negatively affect quality of life. Patient populations and healthcare providers will need to manage the emerging burden of overweight/obesity.

Sleep Quality in Individuals with and without Persistent Postpartum Hypertension.

This study aimed to compare sleep quality at 1 year postpartum following a hypertensive disorder of pregnancy (HDP) among individuals with persistent postpartum hypertension (HTN) compared with those with normal blood pressures (BPs). We combined data from the Heart Health 4 New Moms pilot randomized trial (n = 118) and the Pathways prospective cohort study (n = 36). Individuals with a singleton pregnancy complicated by gestational HTN or preeclampsia underwent a research study visit at a mean 48.7 ± 9.5 weeks postpartum with standardized BP measurement and assessment of subjective sleep quality with the Pittsburgh Sleep Quality Index (PSQI). Persistent postpartum HTN was defined as Stage 1 HTN or greater (mean systolic BP ≥ 130 mm Hg or mean diastolic BP ≥ 80 mm Hg over three measurements at rest) or requiring antihypertensive medication. Statistical analysis was performed using univariate and multivariable logistic regression analyses. Of 154 individuals with an HDP included in the analysis, 84 (55%) were normotensive at 1 year postpartum and 70 (45%) had persistent postpartum HTN. Individuals with persistent postpartum HTN were more likely to be older, self-identify as Black race, have higher prepregnancy and 1-year postpartum body mass index (BMI), be multiparous, and deliver at an earlier gestational age. The mean global PSQI score was 8.7 ± 3.7, with 81% reporting poor sleep (PSQI > 5), and scores were higher among individuals who were persistently hypertensive (9.6 ± 3.5) compared with those who were normotensive at 1 year postpartum (7.9 ± 3.6), p < 0.01. Findings were unchanged in a multivariable model adjusting for age, self-reported race, prepregnancy BMI, and parity. Following an HDP, individuals reported poor sleep quality at 1 year postpartum. Individuals with persistent postpartum HTN reported lower sleep quality, suggesting that sleep behavior may be a target for intervention to improve maternal cardiovascular health following an HDP. · After an HDP, poor sleep quality was common at 1 year postpartum.. · Those with persistent postpartum HTN reported worse sleep quality at 1 year postpartum.. · Sleep behavior may be a target for intervention to improve maternal cardiovascular health..

Sleep Quality and its Predictors among Undergraduate Medical Students of a Teaching Institute in Telangana, South India: A Cross-sectional Study

Abstract Background: Medical students are vulnerable to sleep disturbances as they navigate life through academic stress, long on-call duties, emotional challenges, and exhaustion. Insufficient sleep negatively affects cognitive functions and fine motor skills, leading to deficiencies in attention, increased drowsiness while driving, propensity for risk-taking behavior, heightened risk of depression, impaired interpersonal relationships, and the potential to impact learning technical aspects of curriculum as well as delivering quality patient care. Objectives: The objective of this study was to measure the sleep quality and its determining factors among undergraduate medical students of a teaching institute in Telangana, South India. Methodology: A cross-sectional study was conducted among 401 undergraduate medical students. A semi-structured questionnaire including the sociodemographic details, medical history, and screen time, followed by the Pittsburgh Sleep Quality Index (PSQI) which assesses the time of quality sleep, frequency of troubled sleep, etc., over the last 1 month was used. The quality of sleep score of &gt;5 indicates poor sleep quality. Results: The mean age was 20.41 years (standard deviation [SD] =2.08). Known comorbidities were present among 17 (4.2%), and 13 (3.2%) had psychiatric conditions. Poor sleep quality was present among 70% of medical undergraduates. The mean global PSQI score was 6.22 (SD = 2.9). The factors found significantly associated with poor sleep quality were academic stress (P = 0.009; odds ratio [OR] = 2.154 [CI = 1.250–3.713]), headache and self-medication (P = 0.008; OR = 1.868 [CI = 1.178–2.964]), and nighttime screen use (P &lt; 0.001; OR = 18.12 [CI = 5.48–59.87]). Conclusion: Sleep deprivation and poor sleep quality is a major concern among medical undergraduates. It is important to have a proper sleep–wake routine and maintain good sleep hygiene. This includes reducing the use of screens before bedtime and addressing any underlying health conditions, including mental health issues, to improve sleep quality and overall well-being.

Relationship Between Sleep Duration and Academic Performance Among Saudi Medical Students at &amp;apos;&amp;apos;KSAU-HS&amp;apos;&amp;apos; and KSU Riyadh, Saudi Arabia

Objective: This study aimed to identify the sleep patterns and frequency of nighttime sleep among male and female medical students in KSAU-HS and KSU and to assess the association between sleep duration and academic performance (final GPA). Methods: A cross-sectional study was conducted using a self-administered questionnaire targeting medical students from KSAU-HS and KSU, Riyadh. The Pittsburgh sleep quality index (PSQI) survey was used to assess sleep deprivation. Results: A total of 243 participants were included in the study. Most participants 187 (77%) were males, 171 (70.4%) were from KSAU-HS, 95 (39.1%) were 6th year students. The most frequently reported grade was B (27.6%) participants. Almost 87 (35.8%) had a GPA of 4-4.5. In regards to the components of PSQI; the mean global PSQI score was found to be 9.30±3.64. The vast majority (95.1%) had poor sleep quality. Sleep efficiency was found to be less than 65% for the vast majority (98.4%) of the participants. Academic performance was found to be significantly associated with sleep duration. University and academic year were found to be significantly associated with sleep quality (p-value= 0.02 and 0.003 respectively). Participants from KSAU-HS University and 6th year students had better sleep quality. Conclusion: Poor PSQI scores and sleep quality among study participants were found. The sleep duration score was low as compared to that in parallel studies. Poor academic performance was significantly associated with poor sleep quality according to PSQI scores.

Investigating a clinically informed sleep disturbance threshold for physical and mental health among Gulf War Illness veterans.

This study (1) assessed sleep quality and health in Gulf War veterans (GWV) meeting the Gulf War Illness (GWI) criteria and (2) compared health associations for both those meeting a "clinically disturbed sleep" threshold, and those below, as determined by the Pittsburgh Sleep Quality Index (PSQI) cutoff for military populations (≥10) on measures of physical, mental, and cognitive health. Participant data consisted of questionnaires and assessments completed prior to group assignment in a clinical trial. The sample consisted of 147 GWV, where 81.0% were males, and the median age was 53.4 years. The mean (SD) PSQI global score was 12.34 (4.00) with 61% of the sample qualifying as clinically disturbed sleepers according to the cutoff (global PSQI ≥ 10). GWI veterans with PSQI scores ≥10 did not differ from others in age (p = 0.20), sex (p = 0.19), or years of education (p = 0.87), but showed worse GW-related symptomology on the Gulf War Kansas questionnaire (p < 0.01), and poorer mental health on the Veterans Rand-36 (p < 0.01). Disturbed sleep was associated with measures of pain, fatigue, and cognitive health. Our results suggest that a previously determined clinical threshold for clinically disturbed sleep is useful when examining the health status of the study population. Given that GWI is associated with elevated PSQI scores and a high frequency of disturbed sleep, cutoffs determining sleep health should be sensitive to population exposures and health history to improve interpretability.

Association between Vegetarian Diet Consumption and Academic Performance, Sleep Quality, and Health-Related Quality of Life among Female Undergraduate College Students.

This cross-sectional survey study aimed to examine the association between vegetarian diet consumption and sleep quality, academic performance, and health-related quality of life among female undergraduate college students. A sample of 158 undergraduate female college students was recruited using a convenience sampling approach. Data collection utilized reliable and validated English-language instruments including the Vegetarian Quality of Life Questionnaire (VEGQOL), Pittsburgh Sleep Quality Index (PSQI), and health-related quality of life scale (HRQoL). The data were analyzed using one-way analysis of variance (ANOVA) and appropriate descriptive statistics. Vegetarians exhibited a significantly lower BMI compared to nonvegetarians (F (1, 156) = [6.09], p=0.015). Those strictly adhering to a vegan diet (48.79 ± 9.41) had the lowest vegetarian quality of life among all participants following various forms of a vegetarian diet (F (3, 68) = [2.78], p=0.04). The majority of female college students reported good to excellent general health (91.7%), with 53.2% perceiving their sleep quality as fairly good. However, the mean PSQI global score of 8.04 (±3.35) indicated poor sleep quality. No significant association was found between diet type (vegetarian vs. nonvegetarian) and academic performance (cGPA) (χ 2 (4, N = 158) = 2.92, p=0.57). There was no significant relationship between diet types and academic performance, HRQoL, and sleep quality. Despite a significant association between vegetarian diet and lower BMI, surprisingly, no substantial relationships were identified between diet type and academic performance, HRQoL, and sleep quality. These findings contribute to the ongoing discourse on the potential impacts of a vegetarian diet on various facets of female college students' well-being and highlight the need for further exploration in this field.

The Impact of Melatonin on Inflammatory Status and Quality of Life

Objective: This study aimed to assess whether the use of melatonin as an initial insomnia treatment can enhance inflammatory status and quality of life (QoL). We also explored a potential correlation between these improvements and sleep pattern ameliorations and whether baseline status correlated to differences in sleep quality, inflammatory status, and QoL. Methods: We enrolled 67 subjects from 6 different hospitals who met Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) insomnia criteria. The patients took 2 mg per day of prolonged-release melatonin (PRM) for 8 weeks. We administered the Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality and the WHO-5 Well-Being Index to assess QoL at baseline, week 4, and week 8. We measured tumor necrosis factor-alpha (TNF-α) levels to determine inflammatory status at baseline and week 8.Results: The mean global PSQI score declined significantly from 13.97 to 10.39 (p&lt;0.001) after 8 weeks of PRM treatment. The mean WHO-5 Well-Being Index score improved significantly from 7.30 to 11.0 (p&lt;0.001) over the study period. The mean TNF-α nonsignificantly declined from 0.62 to 0.60 (p=0.28). The PSQI improvement over 8 weeks was correlated to the baseline PSQI score (r=0.40, p=0.001). The decrease in TNF-α over 8 weeks was correlated to the baseline TNF-α level (r=0.43, p&lt;0.001).Conclusion: This study reported measurable improvement in sleep quality and QoL after 8 weeks of PRM. Although the decrease in TNF-α level over 8 weeks was not significant, it showed correlation to the baseline TNF-α level. PRM can prevent excessive inflammation and may be beneficial in chronic inflammation involving TNF-α.

Comparison of sleep quality between clear aligner and fixed appliance orthodontic therapies

Although available evidence suggests that orthodontic appliances can impact quality of life, there is limited information on the impact of orthodontic appliances on sleep quality. This study aimed to compare sleep quality between patients undergoing orthodontic treatments using conventional fixed appliances and clear aligners. Adult patients attending clinics in Saudi Arabia participated in this cross-sectional study. Sleep quality was assessed using the validated Arabic version of the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS). Statistical significance was determined using inferential analysis, with a P < 0.05 considered statistically significant. There were 69 patients included in the study. The average age of a patient (33.12 ± 8.1) who received the clear aligner was significantly higher than those who received the fixed appliance (27.7 ± 5.9) (P < 0.05). The variation in the average score of ESS because of the education level was found to be statistically significant (P < 0.05). No significant difference was observed between the mean average ESS and PSQI global scores across the two orthodontic treatment groups. The average sleep latency scores were significantly higher in females than males when analyzing the PSQI component score across sex (P < 0.05). In education, ESS, PSQI global, habitual sleep efficiency, the use of sleep medication, and daytime dysfunction had a positive, weak, but significant correlation. Overall, this study concluded that regardless of the orthodontic appliances used, there was no statistically significant difference in sleep quality during the treatment.

Sleep profile and its correlation with clinical variables in fibromyalgia syndrome: A cross-sectional study

ObjectiveA scarcity of literature exists on sleep quality in fibromyalgia syndrome (FMS) in Indian patients. The current study described the sleep profile of patients with FMS with poor sleep quality residing in urban Bangalore and determined the relationship between poor sleep and fibromyalgia variables. MethodsEighty-six patients with FMS were included in the study. Pittsburgh Sleep Quality Index (PSQI) and Revised Fibromyalgia Impact Questionnaire (FIQR) were used to evaluate the sleep profile and fibromyalgia variables. Spearman's rank correlation, t-test, and one-way analysis of variance were used for the analyses. ResultsNinety-one percent of patients with FMS were identified as poor sleepers (PSQI >5). The mean PSQI global score of the included patients was 12.04 ± 3.5. The global sleep score varied with sex (p = 0.003) and fibromyalgia severity (p = 0.001). A significant correlation was found between PSQI global score and FIQR total score (r = 0.4, p < 0.001), FIQR subdomains (r = 0.2–0.4, p < 0.05), and FMS duration (r = 0.26, p < 0.05). The PSQI global score was also correlated with pain, depression, memory, anxiety, balance, and sensitivity (r = 0.2–0.3, p < 0.05). ConclusionSleep disturbance is highly prevalent in patients with FMS residing in urban Bangalore. Sleep quality tends to worsen in females with increasing FMS severity and duration but does not differ across other demographic variables. Sleep quality is significantly correlated with somatic as well as psychological variables. Future studies evaluating the predictors of poor sleep are needed to further corroborate these findings.

Examination of Dysfunctional Beliefs and Attitudes About Symptoms, Sleep Quality and Sleep in Patients Receiving Hemodialysis Treatment

Objective: This study was conducted to examine the relationship between symptoms, sleep quality, and dysfunctional beliefs and attitudes about sleep in patients receiving hemodialysis treatment.&#x0D; Material and Methods: This descriptive and correlational study was conducted with 120 patients undergoing hemodialysis in a private hemodialysis center. Data were collected using the Descriptive Information Form, Dialysis Symptom Index (DSI), Pittsburgh Sleep Quality Index (PSQI), and Dysfunctional Beliefs and Attitudes About Sleep Scale-16 (DBAS-16). The statistical analysis of the data obtained as a result of the study was analyzed using number, percentage, standard deviation and arithmetic mean as descriptive statistics, Pearson correlation test and structural equation modeling in IBM SPSS 26 program. Ethics committee approval and permission from the research institution were obtained for the conduct of the study. &#x0D; Results: The most common hemodialysis-related symptoms were fatigue (70.8%), feeling irritable (61.7%), difficulty falling asleep (60.8%). The mean PSQI Global sleep score of the patients was 7.40±5.02 points. Dialysis Symptom Index explained 26.5% of the change in PSQI Global sleep score in a statistically significant way (F=42.479 p

Effect of second-generation antihistamines on nighttime sleep and daytime sleepiness in patients with allergic rhinitis.

The daytime tiredness experienced by the vast majority of allergic rhinitis (AR) sufferers is directly related to the fact that they experience disrupted sleep at night. This study compared the effects of recently marketed second-generation H1 antihistamines (SGAs) on nighttime sleep and daytime sleepiness in patients with AR, with patients grouped into those taking non-brain-penetrating antihistamines (NBP group) and those taking brain-penetrating antihistamines (BP group). Patients with AR completed self-administered questionnaire-based surveys to determine Pittsburgh Sleep Quality Index (PSQI) before and after taking SGAs. Statistical analysis was performed on each evaluation item. Of 53 Japanese patients with AR between 6 and 78years old, median (SD) agewas 37.0 (22.4) years old and 21 weremen (40%). Of the 53 patients, 34 were the NBP group and 19 were the BP group. In the NBP group, mean (SD) subjective sleep quality score after medication was 0.76 (0.50), which was significantly lower (better) than the score of 0.97 (0.52) before medication (p = 0.020). In the BP group, mean (SD) subjective sleep quality score after medication was 0.79 (0.54), which was not significantly different from the score of 0.74 (0.56) before medication (p = 0.564). In the NBP group, mean (SD) global PSQI score was 3.47 (1.71) after medication, which was significantly lower (better) than the score of 4.35 (1.92) before medication (p = 0.011). In the BP group, mean (SD) global PSQI score was 2.47 (2.39) after medication, which was not significantly different from the score of 3.00 (2.71) before medication (p = 0.125). Subjective sleep quality and global PSQI score were improved only in the group taking non-brain-penetrating SGAs.

A Cross-Sectional Study Using STROBE Platform to Examine Sleep Characteristics, Mental Health and Academic Performance of Female Applied Medical Sciences Students in the Southwest of Saudi Arabia.

Background: Medical students are expected to excel in their academics. Hence exposing them to a certain amount of strain may sometimes cause sleep disruptions. The purpose of this study was to determine the sleep quality among Saudi Applied Medical Sciences students and its potential connections with their academic performance and mental health. Methods: This online cross-sectional questionnaire-based study was conducted at Jazan University's College of Applied Medical Sciences in Saudi Arabia. The Pittsburgh Sleep Quality Index (PSQI), a known indicator of sleep quality, a validated mental health measure; Depression Anxiety Stress Scales-21 (DASS-21), and Academic Performance Scale (APS) with 89 internal consistencies were included in the questionnaire. The cumulative grade point average (GPA) was also used as a covariate to evaluate students' academic success. Results: 112 people responded (response rate = 93%), and 105 of them presented comprehensive information about their backgrounds, way of life, academic standing, sleep patterns, and mental health. Participants' average GPA and APS scores were 4.23 ± 0.52 and 33.16 ± 5.63, respectively. The mean global PSQI score was 6.47 with 2.34 of standard deviation (SD). The majority of individuals (60%) had poor sleep quality particularly due to abnormal sleep latency and lesser sleep duration, as determined by their PSQI score. The prevalence rates for depression, anxiety, and stress were higher; 53%, 54% and 40%, respectively. Both depression and anxiety were substantially correlated with poor sleep quality (p-value = 0.008, p-value = 0.01, respectively). Sleep quality had no significant effect on GPA while global PSQI and depression were significantly negatively correlated with an APS score of participants (p-value = 0.007 and 0.015, respectively). Conclusions: Higher rates of poor sleep quality and psychologically negative emotions were prevalent. Unhealthy sleep patterns were linked to increased levels of anxiety and depression. Self-perceived academic performance was negatively impacted by inadequate sleep and negative emotions, despite the fact that the GPA results were unaffected.

COVID-Somnia: A Multicentric Study on Sleep Disturbances During the COVID-19 Pandemic With Spatial Mapping of Hotspots.

Objective The purpose of this study was to document sleep quality and assess its sociodemographic, behavioral (i.e., tobacco use, alcohol use, and screen time), and mental-health-related indicators (i.e., anxiety and depression) in adults aged 30-59 years across three states of India, and to geo-locate state and district-level findings of sleep quality during the ongoing coronavirus disease 2019 (COVID-19) pandemic. Methods From October 2020 to April 2021, residents (aged 30-59 years) of Kerala, Madhya Pradesh, and Delhi completed a web-based survey that included sociodemographic and behavioral factors, clinical history of COVID-19, and mental health screening instruments for anxiety and depression, namely the Generalized Anxiety Disorder 2-item (GAD-2) and Patient Health Questionnaire-2 (PHQ-2). The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the quality of sleep. Average PSQI scores were geo-mapped. Results Of the 694 participants who responded, 647 completed the PSQI. The mean (SD) global PSQI score was 5.99 (3.2), with approximately 54% of participants reporting poor sleep quality (PSQI Score>5). Eight hotspot districts with severe sleep disturbances (mean score PSQI>6.5) were identified. Multivariable logistic regression analysis showed that compared to Madhya Pradesh, participants from Kerala and Delhi had 62% and 33% lower chances of having poor sleep quality, respectively. Those who screened positive for anxiety had higher odds of having poor sleep quality (adjusted odds ratio {aOR}=2.4, P=0.006*). Conclusion Overall, sleep quality was poor during the early stages of the COVID-19 pandemic (October 2020-April 2021), especially among those who reported high levels of anxiety. Among the three included states, there were differences in sleep quality.