Prevalence Of Poor Sleep Quality Research Articles

Associations between Stress, Anxiety, Depression and Sleep Quality among Healthcare Students

Objectives: Stress, anxiety, and depression among students have many negative health consequences and may predispose students to poor sleep quality; therefore, this research aimed to investigate the perceived stress, anxiety, and depression and their relation to the level of sleep quality among healthcare students. Methods: A cross-sectional study using a validated survey was conducted among Saudi healthcare students from different regions during the period from 26 September 2022 to 30 October 2022. The Pittsburgh Sleep Quality Index (PSQI) was utilized to assess sleep quality. PSPP Statistical Analysis Software version 1.2.0 was used for all statistical analyses. Results: 701 respondents participated in this research; the response rate was 73.8%. About 60% of the study sample was female, and the average age was 20.9 years. 80.3% of students have poor sleep quality; the participants’ mean sleeping hours per night was 6.81 ± 1.88 h. About three-quarters of students (72.9%) perceive themselves as stressed. A significant positive correlation was observed between sleep quality and perceived stress (r-value = 0.363), anxiety (r-value = 0.387), and depression (r-value = 0.347). Poor sleep quality was more likely among those with stress than those without stress (AOR = 1.79; 95% CI 1.07, 2.99) and two times more likely among students with cases of anxiety than those without anxiety (AOR = 2.07; 95% CI 1.10, 3.94). Conclusions: Our study highlights the high prevalence of poor sleep quality, anxiety, depression, and stress among healthcare students in Saudi Arabia. Students’ reported stress, anxiety, and residence region were associated with poor sleep quality. These results imply the necessity of regular screening and appropriate intervention for sleep problems, stressors, and anxiety among healthcare students.

Sleeping Disturbance and its Associated Risk Factors Among Type 2 Diabetes Mellitus Patients Attending in a Tertiary Level Hospital in Dhaka City Bangladesh

Objective: Poor sleep quality is an unreported and unrecognized problem which can affect the prognosis of diabetes patients. The aim of this study was to assess the prevalence of poor sleep quality and its associated factors among patients with diabetes mellitus in a tertiary care hospital in Dhaka. Methods: A hospital-based cross-sectional study was conducted among 343 diabetes mellitus patients at the Razarbagh Central Police Hospital from October 2021 to March 2022. A convenience sampling method was used to reach the study subjects. An interviewer-administered questionnaire was used for data collection. Pittsburgh sleep quality index was used for assessing sleep quality. Result: The overall prevalence of poor sleep quality was 81.85%. Multivariable analysis of the factors found that married person (AOR: 6.10, 95% CI: 1.03-35.93, p= 0.04), alcohol consumption (AOR: 12.11, 95% CI: 1.39-65.53, p= 0.02), no physical exercise (AOR: 11.99, 95% CI: 1.26-78.93, p= 0.03), HbA1c (AOR: 3.48, 95% CI: 1.21-21.71, p= 0.01) and low HDL (AOR: 18.60, 95% CI: 6.73-94.56, p= 0.04) were significantly associated with poor sleep. Conclusion: In this study, more than 80% patients had poor sleep quality. Drinking alcohol, smoking type 2 diabetes mellitus, and poor glycemic control were factors in poor sleep quality.

Impact of smartphone use at bedtime on sleep quality and academic activities among medical students at Al -Azhar University at Cairo

Abstract Aim Smartphone use has become prevalent and rapidly expanding. Therefore, it is essential to determine the potential adverse effects. This study aims to assess the prevalence of smartphone use at bedtime and its association with sleep quality and educational-related activities among medical students. Subject and methods The current cross-sectional study included 1184 male and female undergraduate medical students at Al-Azhar University in Cairo. We used a self-administered questionnaire to collect data on personal characteristics, smartphone use, and academic activities. The Pittsburgh sleep quality index ((PSQI) was used for the assessment of sleep quality. Results The result revealed that bedtime smartphone use was highly prevalent (96.5 %), with nearly half (46.9%) of studied medical students using them for more than 2 hours. Social media was at the top of the usage list (74.2%), followed by communication (48.8%). Smartphone users at bedtime had a significantly higher prevalence of poor sleep quality, increased sleep latency, difficulty in maintaining sleep, and shorter sleep duration compared to non-user (p-value<0.05). The probability of poor sleep quality is significantly increased by bedtime smartphone use, regular coffee drinking, hostel residence, and proximity of the phone during sleep, whereas the likelihood of poor sleep quality is significantly decreased by physical activity. A significant association between poor sleep quality and academic performance was also reported. Conclusion This study emphasizes the negative impact of smartphone use at bedtime on sleep quality and quantity, which in turn has a negative effect on academic performance. Therefore, medical students are strongly encouraged to limit their smartphone use before bedtime for better sleep and academic performance.

The Worldwide Prevalence of Sleep Problems Among Medical Students by Problem, Country, and COVID-19 Status: a Systematic Review, Meta-analysis, and Meta-regression of 109 Studies Involving 59427 Participants.

Several studies have found that medical students have a significant prevalence of sleep issues, such as poor sleep quality, excessive daytime sleepiness, and inadequate sleep duration. The purpose of this review is to carefully evaluate the current research on sleep problems among medical students and, as a result, estimate the prevalence of these disturbances. The EMBASE, PsychINFO, PubMed/MEDLINE, ScienceDirect, Scopus, and Web of Science and retrieved article reference lists were rigorously searched and rated for quality. Random effects meta-analysis was performed to compute estimates. The current meta-analysis revealed an alarming estimated pooled prevalence of poor sleep quality (K = 95, N = 54894) of 55.64% [95%CI 51.45%; 59.74%]. A total of 33.32% [95%CI 26.52%; 40.91%] of the students (K = 28, N = 10122) experienced excessive sleepiness during the day. The average sleep duration for medical students (K = 35, N = 18052) is only 6.5 h per night [95%CI 6.24; 6.64], which suggests that at least 30% of them get less sleep than the recommended 7-9 h per night. Sleep issues are common among medical students, making them a genuine problem. Future research should focus on prevention and intervention initiatives aimed at these groups. The online version contains supplementary material available at 10.1007/s40675-023-00258-5.

Sleep quality and related influencing factors in adult hypertensive patients in Shandong Province, China.

Hypertension is a leading cause of death worldwide. Hypertension is associated with poor sleep quality, which adversely affects physical and mental health, and can increase the incidence rate and mortality of cardiovascular disease, cancer, and depression. This study aimed to investigate the prevalence of the factors related to poor sleep quality in hypertensive patients in Shandong Province, China. This cross-sectional study of adult patients with hypertension from August 2020 to February 2021was conducted in 10 cooperative hospitals in Shandong Province, China. Information was collected in the form of a questionnaire. In this study, Pittsburgh sleep quality index was used to evaluate sleep quality. A multivariate logistic regression model was used to analyze the risk of poor sleep quality. Variables with a P value < 0.05 and a 95% confidence interval (CI) were considered statistically significant. A total of 528 patients with hypertension were included, ranging in age from 31 to 90 years old. The prevalence of poor sleep quality among study participants with hypertension was 319 (60.4%) (95% CI: 0.562-0.646). Female gender (adjusted odds ratios [AOR] = 3.231; 95% CI: 2.194-4.757), stage III blood pressure (AOR = 2.142; 95% CI: 1.108-4.141), mental labor, and labor both physical and mental (AOR = 1.639; 95% CI:1.03-2.611 and AOR = 1.632; 95% CI: 1.030-2.584), unstable marriage (AOR = 3.203; 95% CI: 1.026-9.997) and the very Low-density Lipoprotein (odds ratios = 0.776; 95% CI: 0.649-0.928) were significantly associated with poor sleep quality. This study preliminarily showed that poor sleep quality was a common problem in hypertensive patients, and more than half of the hypertensive patients had poor sleep quality. Poor sleep quality was significantly correlated with gender, hypertension level, occupation, marital status, and the very Low-density Lipoprotein. Considering the negative impact of sleep quality, appropriate strategies should be developed to prevent and treat poor sleep quality in hypertensive patients.

Sleep Quality and Sleep Hygiene Behaviours Among University Students in Qatar.

Insomnia is a highly prevalent health problem, affecting about one-third of the adult population globally. University students are at a high risk for developing insomnia due to the stressful nature of academic life and often unhealthy sleeping habits. The aim of this study was to explore the prevalence of poor sleep quality and investigate sleep hygiene patterns among university students in Qatar. A cross-sectional study was conducted among university students using two validated instruments: the Pittsburgh Sleep Quality Index (PSQI) and the Sleep Hygiene Index (SHI). Data were analyzed using descriptive and inferential statistics, including correlation and multivariate regression analyses. Two thousand and sixty-two students responded to the web-based survey. The mean PSQI score (7.57±3.03) was indicative of poor sleep quality in approximately 70% of the students. Similarly, the mean SHI score (21.79±6.69) was indicative of poor sleep hygiene patterns in 79% of the students. Academic program type, marital status, gender, and sleep hygiene significantly influenced sleep quality. After controlling for all possible covariates in the multiple regression analysis, sleep hygiene remained as the only factor significantly predicting sleep quality. Students with a good sleep hygiene were about four times more likely to have a good sleep quality compared to those with poor sleep hygiene (adjusted OR= 3.66, 95% CI= 2.8-4.8, p <0.001). Poor sleep quality and inadequate sleep hygiene practices were highly prevalent among university students in Qatar. Sleep hygiene was found to be the only significant predictor of sleep quality such that those adopting healthy sleep hygiene practices were more likely to have better sleep quality. Interventions to raise awareness on the effect of sleep hygiene on sleep quality among university students are needed.

Association between Objective and Subjective Sleep Parameters with Postural Control Responses among Brazilian Schoolteachers.

Objective To investigate the impact of sleep quality on postural control in teachers. Methods Cross-sectional study with 41 schoolteachers (mean age 45.7 ± 10.4 years). Sleep quality was assessed in two ways: objectively (through actigraphy), and subjectively (through the Pittsburgh Sleep Quality Index). Postural control was assessed in an upright posture during 3 trials of 30s (bipedal and semitandem stances in rigid and foam surfaces with eyes open) with a period of rest across trials, on a force platform, based in the center of pressure measurements in the anteroposterior and mediolateral directions. Results The prevalence of poor sleep quality in this study sample was 53.7% ( n = 22). No differences were found between Poor and Good sleep in the posturographic parameters (p > 0.05). Although, there was moderate correlation between postural control in the semitandem stance and subjective sleep efficiency for center of pressure area (rs = -0.424; p = 0.006) and amplitude in anteroposterior direction (rs = -0.386; p = 0.013). Discussion There is correlation between poor sleep quality and postural control in schoolteachers, as sleep efficiency decreases, postural sway increases. Poor sleep quality and postural control were investigated in other populations, but not in teachers. Several factors such as work overload, insufficient time for physical activities, among others, can contribute to a worse perception of sleep quality, as well as deterioration in postural control. Further studies with larger populations are needed to confirm these findings.

Exploring associations between eHealth literacy, cyberchondria, online health information seeking and sleep quality among university students: A cross-section study

BackgroundUniversity students are increasingly inclined to use the Internet for health-related purposes, and their sleep problems are becoming increasingly prominent. Currently, the relationship between sleep quality and online health-related searches is poorly understood. The aim of this study was to exam the associations of sleep quality, Internet use, eHealth literacy, online health information seeking and cyberchondria in the sample of Chinese university students. MethodsA total of 2744 students completed self-reported questionnaires online containing the Pittsburgh Sleep Quality Index (PSQI), eHealth Literacy Scale, Online Health Information Seeking, Cyberchondria Severity Scale (CSS) and questions regarding sleep duration, Internet use, health status, and demographic information. ResultsThe prevalence of poor sleep quality (PSQI >7) among the university students was 19.9% and 15.6% students slept less than 7 h per day. As time spent on online daily and playing phone before bed increased, the prevalence of sleep disturbance gained. Sleep disturbance was significantly associated with cyberchondria (OR = 1.545, p = 0.001), health status [good (OR = 0.625, p = 0.039), poor (OR = 3.128, p = 0.010), and fair (OR = 1.932, p = 0.001)]. Sleep quality, online health information seeking and eHealth literacy positively influenced with cyberchondria. Compared to 7–8 h sleep duration, online health information seeking (OR = 0.750, p = 0.012) was significantly associated with ≥8 h sleep duration. ConclusionOur findings highlighted poor health status, too much time spent on online daily and high cyberchondria level might decrease sleep quality in the sample of Chinese university students, further suggesting the need for developing interventions based on online health-related searches for improving sleep quality among university students.

The mediating role of sleep quality on the relationship between internet gaming disorder and perceived stress and suicidal behaviour among Indian medical students

BackgroundIn the recent digital era, individuals with internet gaming disorder (IGD) have reported a much higher prevalence of poor sleep quality, perceived stress and suicidal behaviour. However, the underlying mechanisms...

Prevalence of poor sleep quality and associated factors among the elderly in Amirkola, Iran

Background &amp; Aims: Sleep problems have become the most common complaint among the elderly. Various factors are involved in the prevalence of poor sleep quality in this age group. Due to the lack of community-based data, this study was conducted to determine the prevalence of poor sleep quality among the elderly in Amirkola, Northern Iran. Methods: This cross-sectional study is part of the second phase of the Amirkola Health and Ageing Project (AHAP), a cohort study conducted on all elderly aged 60 and over in Amirkola, Northern Iran, since 2011. The sleep quality and related factors were assessed through Pittsburgh Sleep Quality Index (PSQI-P) and interviews, respectively. Results: Of the 1675 older people, 914 (54.6%) were male, and 761 (45.4%) were female, of whom 714 (42.6%) had poor sleep quality. The prevalence of poor sleep quality in women and men was 56.9% and 30.7%, respectively (p &lt;0.001). Poor sleep quality was significantly more frequent among unmarried elderly (50.4%) (p = 0.004), those with lower education level (p&lt;0.001), individuals who were living alone (51.3%) (p&lt;0.001), and those with more chronic disease (p&lt;0.001), compared to other groups. Older men with diabetes had more poor sleep quality (p=0.048). Also, poor sleep quality was significantly related to depression and the number of chronic diseases in both men and women (p&lt;0.001). Logistic regression analysis revealed that the female sex (OR=2.34, 95% CI (2.85-95.95)) and chronic diseases (OR=4.48, 95% CI (2.02-9.93)) had the most important roles in poor sleep quality. Conclusion: This study showed a relatively high prevalence of poor sleep quality in older people, particularly among females. Therefore, sleep quality inquiry of the elderly seems pivotal in routine public health assessments by physicians and health care providers.

0627 Postpartum Insomnia and Poor Sleep Quality are Uniquely Predictive of Postpartum Mood Disorders

Abstract Introduction Many postpartum women experience symptoms of depression (PPD) and anxiety (PPA). Insomnia and poor sleep quality are frequently reported by postpartum women and are risk factors for postpartum mood disorders. This longitudinal study sought to assess whether perinatal insomnia or sleep quality predicted depression and anxiety across each month of the first 6 months postpartum in women with a history of depression. Methods Pregnant women (N = 178) aged 18-45 years with a self-reported prior history of depression were recruited from social media in late pregnancy. None of the women were depressed at enrollment. In late pregnancy and for up to six months postpartum, women completed monthly online questionnaires including the ISQ, PSQI, EPDS, and GAD-7. Repeated-measures multilevel models were performed using the generalized linear mixed model command in the software IBM SPSS 28 to determine predictive associations across the postpartum. Demographics (age, education, race, and sex of baby) were statistically controlled for in these models. Results The rate of depression averaged (15.7%) and anxiety averaged (17.0%) across the postpartum. The prevalence of insomnia was 20.4%, and the prevalence of poor sleep quality was 67.8% across the first 6 months postpartum. Insomnia in the postpartum predicted greater depressive and anxiety symptoms, even after controlling for prenatal insomnia. Likewise, poor sleep quality in the postpartum predicted greater depressive and anxiety symptoms after controlling for prenatal poor sleep quality scores. When considering clinical cutoffs of the EPDS ≥ 12 and GAD ≥ 10, postpartum insomnia and sleep quality uniquely predicted postpartum depression (OR = 5.69, 95% CI 3.33-9.74 and OR = 3.13, 95% CI 1.70 -5.77). Insomnia predicted postpartum anxiety (OR = 11.15, 95% CI 5.99-20.78), with sleep quality trending (OR = 1.76, 95% CI 0.99 -3.12). None of the demographic variables significantly contributed (P’s &amp;gt; 05). Conclusion Both postpartum insomnia and poor sleep quality contributed to clinical postpartum mood. The chronic sleep deprivation of insomnia and the subjective experience of poor sleep quality are uniquely relevant to risk for postpartum mood. The consideration and treatment of both is important as they are uniquely associated with adverse outcomes for mother and child. Support (if any) Happiest Baby, Inc

0239 Perceptions of Sleep Health among Black Americans: Recommendations for Improving Sleep

Abstract Introduction Despite African Americans having a high prevalence of poor sleep health, the determinants remain understudied. Sleep disparities research mainly examines quantitative data, with little attention to qualitative data, which can inform targeted interventions. We aimed to qualitatively identify 1) perceptions of sleep; 2) facilitators/barriers to healthy sleep; and 3) preferences for receiving sleep recommendations in a socioeconomically diverse sample of African Americans. Methods Participants (N=36 individuals divided into 11 groups) attended online focus groups and discussed the following topics: attitudes and beliefs about sleep, facilitators and barriers to sleep, and knowledge and attitudes about sleep recommendations. Self-reported sleep was measured via the Pittsburgh Sleep Quality Index. The focus group data were analyzed using a rapid analytic approach. Results The sample had a mean age of 34 (13.1), and 64% identified as female. The overall prevalence of poor sleep quality, short sleep duration, and long sleep duration was 39%, 24%, and 15%, respectively. Participants defined healthy sleep as a matter of quality over quantity and waking up feeling well-rested. Women, men, and gender non-conforming individuals reported average sleep durations of 6.3 hours, 5.9 hours, and 8 hours, respectively. Women, but not men or gender non-confirming individuals reported disturbed mood because of poor sleep. Regardless of gender, participants reported anxiety, stress, and daily responsibilities such as work, taking care of family, and sudden changes in plans as barriers to healthy sleep. A subset of respondents (25.5%) reported screen time and feeling unsafe as barriers. Men and women reported listening to music, aromatherapy, relaxing, and limiting phone use before bedtime as facilitators to healthy sleep. Men preferred information on how to achieve and maintain deep/quality sleep, whereas women preferred more personalized information on sleep and the sleep-mental/physical health relation. Social media was generally the preferred avenue for receiving sleep recommendations. Conclusion Mood, stress, screen time and lack of safety were identified barriers to healthy sleep patterns. Participants were interested in strategies for improving sleep health. Future studies should consider targeting relaxing bedtime routines and enhanced safety as sleep interventions. Support (if any) National Institutes of Health, National Institute for Heart Lung and Blood 1R01HL157954 and K01HL138211.

Sleep quality after stroke: A systematic review and meta-analysis.

Sleep-related problems are debilitating and long-lasting conditions in individuals with stroke. We aimed to estimate the prevalence of poor sleep quality after stroke by conducting a systematic review and meta-analysis. Five databases (PubMed, Embase, Web of Science, Scopus, and CINHAL) were searched for literature published before November 2022. Studies recruiting participants with stroke, using a validated scale to measure sleep quality and in English were included. We used the Agency for Healthcare Research and Quality Scale and Newcastle-Ottawa Scale to assess the quality of eligible studies. Pooled prevalence and subgroup analyses were performed to understand the variation in sleep quality among studies. We followed the PRISMA checklist to report the study. Thirteen studies were included for analysis (n = 3886). The pooled prevalence of poor sleep quality was 53% (95% CI 41-65%). Studies using PSQI with a cutoff point of 7 had a prevalence of 49% (95% CI 26-71%), whereas those with a cutoff point of 5 had a higher prevalence of 66% (95% CI 63-69%) (P = .13). Geographical location could explain the prevalence variation between studies. The majority of included studies had a medium level quality of evidence (10/13). Poor sleep quality appears to be common in patients with stroke. Considering its negative impact on health, effective measures should be taken to improve their quality of sleep. Longitudinal studies should be conducted to examine the contributing factors and investigate the mechanisms that lead to poor sleep quality.

The relationship between sleep quality and gait in people with multiple sclerosis: A pilot study.

Gait deficits are common among people with multiple sclerosis (PwMS). Therefore, investigating factors that may influence walking in PwMS is important. Previous studies in older adults and other neurological populations demonstrated the relationship between sleep quality and gait performance. Despite the fact that the prevalence of poor sleep quality is very high among PwMS, little is known about the effect of sleep quality on gait among PwMS. This study aimed to explore the relationship between sleep quality and gait performance in PwMS. Forty-one PwMS participated in the study between February 2019 and December 2019. Participants were asked to walk at a self-selected speed over 10 m with an inertial measurement unit (IMU) attached over the back. Walking speed, step length (left and right), and step time were calculated. Sleep was estimated objectively using a wrist-worn triaxle-accelerometer; the derived parameters were sleep efficiency (SE) and the number of awakening after sleep onset (NASO). SE significantly correlated with step length (). Furthermore, the NASO significantly correlated with gait speed (), and step-time (). These correlations remained significant even after adjusting for age and disease duration. We observed that when corrected for disease duration and age there were relationships between NASO and SE to gait parameters; these observations warrant further investigations.

Poor sleep quality and associated determinants among textile and garment manufacturing workers in Addis Ababa, Ethiopia

BackgroundSleep is a physiological process that is essential to human physical, emotional, and mental health. Sleep difficulties affect an estimated 150 million individuals globally, with roughly 17% of the population in developing countries. As a result, the purpose of this study was to determine the prevalence and associated factors of poor sleep quality among textile and garment manufacturing workers in Addis Ababa, Ethiopia, in 2022. MethodsA facility-based cross-sectional study was done from July 15th to August 15th, 2022, using a simple random sample technique. The degree of self-reported poor sleep quality was quantified using a validated, interviewer-administered, standardized Pittsburgh Sleep Quality Index. To determine the relationship between independent variables and poor sleep quality, multivariable logistic regression analysis was carried out with a p-value of less than 0.05 and a 95% confidence interval (CI). ResultsThe prevalence of poor sleep quality was 75.4% (95% CI: 70.8, 80). Working more than 8 h per day (AOR = 2.83, 95% CI: 1.01, 7.94), work dissatisfaction (AOR = 3.27, 95% CI: 1.52–7.05), and using electronic materials before sleeping (AOR = 2.08, 95% CI: 1.01–4.30) were all associated with poor sleep quality. ConclusionPoor sleep quality was common among garment and textile industrial workers. Work dissatisfaction, working hours, and the utilization of electronic materials before bedtime were all substantially related to poor sleep quality, which should be taken into account and addressed early to reduce poor sleep quality.

EFFECT OF PULMONARY REHABILITATION ON SLEEP QUALITY IN DIAGNOSED ILD PATIENTS

Aims And Objectives To evaluate the effect of pulmonary rehabilitation on sleep quality in patients with interstitial lung diseases using Pittsburgh Sleep Quality Index (PSQI) score. Materials And Methods The study was conducted in the Department of Respiratory Medicine, M.M. Institute of Medical Sciences and Research, Mullana. Patients with ILD who visited the Department of Respiratory Medicine were taken into consideration. Results The mean Global Pittsburgh Sleep Quality Index (PSQI) Score before pulmonary rehabilitation was 9.45 + 2.80, while after pulmonary rehabilitation was 7.45 + 3.64, meaning sleep quality improved. Conclusion From this study, it can be concluded that there is a high prevalence of poor sleep quality in patients with ILD referred for pulmonary rehabilitation and this is independently associated with increasing symptoms of sleepiness. Patients with ILDs achieve significant gains in exercise capacity regardless of disease severity. Pulmonary rehabilitation should be considered as a standard of care for patients with ILD.

Persistent olfactory dysfunction associated with poor sleep quality and anxiety in patients with long COVID.

Poor sleep quality have been widely reported in patients with long COVID. Determining the characteristics, type, severity, and relationship of long COVID with other neurological symptoms is essential for the prognosis and management of poor sleep quality. This cross-sectional study was conducted at a public university in the eastern Amazon region of Brazil between November 2020 and October 2022. The study involved 288 patients with long COVID with self-report neurological symptoms. One hundred thirty-one patients were evaluated by using standardised protocols: Pittsburgh sleep quality index (PSQI), Beck Anxiety Inventory, Chemosensory Clinical Research Center (CCRC), and Montreal Cognitive Assessment (MoCA). This study aimed to describe the sociodemographic and clinical characteristics of patients with long COVID with poor sleep quality and their relationship with other neurological symptoms (anxiety, cognitive impairment, and olfactory disorder). Patients with poor sleep quality were mainly women (76.3%), 44.04 ± 12.73 years old, with >12 years of education (93.1%), and had monthly incomes of up to US $240.00 (54.2%). Anxiety and olfactory disorder were more common in patients with poor sleep quality. Multivariate analysis shows that the prevalence of poor sleep quality was higher in patients with anxiety, and olfactory disorder is associated with poor sleep quality. In this cohort of patients with long COVID, the prevalence of poor sleep quality was highest in the group tested by PSQI and were associated with other neurological symptoms, such as anxiety and olfactory dysfunction. A previous study indicates a significant association between poor sleep quality and psychological disorders over time. Recent studies involving neuroimaging found functional and structural changes in Long COVID patients with persistent olfactory disfunction. Poor sleep quality are integral part of complex changes related to Long COVID and should be part of patient's clinical management.

Mental health and sleep quality among patients with asthma and COPD.

This quantitative cross-sectional study employed convenience sampling to enroll 200 patients with asthma and 190 patients with COPD. Data were gathered using a standardized self-administered questionnaire that contained sections on patients' characteristics, the Sleep Quality, Anxiety, and Depression. The prevalence of poor sleep quality was 17.5 and 32.6% among asthmatic and COPD patients, respectively. The incidence of anxiety and depression was 38 and 49.5% among the patients with asthma, respectively. Their prevalence in patients with COPD was 48.9 and 34.7%, respectively. The multivariate regression analysis showed that marital status (married), BMI, education level (pre-university level), presence of comorbid illness, and depression were significant predictors of PSQI in asthmatic patients. Moreover, age, gender (male), marital status (married), education level (pre-university level), depression, and anxiety were significant predictors of PSQI among COPD participants. According to this study, COPD, and asthma pose serious health risks, including reduced sleep quality, anxiety, and depression.

Sleep Quality and Associated Factors in Elderly Patients with Type-2 Diabetes Mellitus

Objective: The prevalence of poor sleep quality has been greatly escalating over the past years, along with the surging of type 2 Diabetes Mellitus (DM). The aging population is most concerned as sleep quality is notably impaired and influences the diabetic condition. This study aimed to observe the sleep quality and factors related to poor sleep quality in elderly patients with type-2 DM. Materials and Methods: A cross-sectional study of patients with type 2 DM, aged 60 years and above was conducted. The questionnaires included demographic data, the Thai version of the Pittsburgh Sleep Quality Index (T-PSQI), the Thai version of the Diabetic-39, and the Thai Geriatric Depression Scale-15. Factors associated with sleep quality were analyzed using the logistic regression model. Results: Among 385 participants with a mean age of 67 years old was 63.90% female. The prevalence of poor sleep quality was 9.88%. No association was found between sleep quality and glycemic levels. The related factors for poor sleep quality were sex (aOR = 2.57, p = 0.035, 95%CI = 1.06-5.93), body mass index (aOR =1.09, p = 0.028, 95% CI = 1.00-1.20), and diabetic complications. Diabetic retinopathy showed highest odd ratio (aOR = 6.28, p = 0.021, 95% CI = 1.32-29.94). Conclusion: The prevalence of poor sleep quality was low in the current study. We found a strong association between diabetic complications and poor sleep quality. Evaluation of sleep quality may help to enhance overall health and care for diabetic geriatric patients.

Sleep Problems in Patients With Psoriatic Arthritis: A Systematic Literature Review and Metaanalysis.

The aim of this systematic review and metaanalysis is to summarize evidence regarding the relationship between psoriatic arthritis (PsA) and sleep problems. We identified 36 eligible studies-26 cross-sectional, 7 cohort, and 3 interventional studies-in PubMed and Embase. The prevalence of self-reported sleep problems in patients with PsA ranged from 30% to 85%. A metaanalysis of 6 studies that used the Pittsburgh Sleep Quality Index revealed a prevalence of poor sleep quality for patients with PsA of 72.9% (95% CI 63-81.8; I2 = 78%), which was statistically higher than in healthy controls (26.9%, 95% CI 11.7-45.4; I2 = 81%) but not significantly different than in patients with psoriasis (59.8%, 95% CI 46.9-72.1; I2 = 51%). Sleep disturbance was ranked in the top 4 health-related quality of life domains affected by PsA. One study suggested a bidirectional relationship between PsA and obstructive sleep apnea. Predictors of sleep problems included anxiety, pain, erythrocyte sedimentation rate, depression, fatigue, physical function, and tender or swollen joint count. Tumor necrosis factor inhibitors, guselkumab, and filgotinib (a Janus kinase inhibitor) were associated with improved sleep outcomes. Poor sleep quality is prevalent in patients with PsA. Objective sleep measures (ie, actigraphy and polysomnography) have not been used in PsA studies, and evidence on the validity of patient-reported sleep measures in PsA is lacking. Future studies should validate self-reported sleep measures in PsA, explore how sleep quality relates to PsA disease activity and symptoms using both objective and subjective sleep measures, assess the efficacy of strategies to manage sleep problems, and assess the effects of such management on symptoms and disease signs in patients with PsA.