Evaluation Of Sleep Quality Research Articles

Minimal changes in sleep parameters during overnight ambulatory blood pressure monitoring do not affect outcomes.

Ambulatory blood pressure monitoring (ABPM) is considered the gold standard for assessing blood pressure; however, its use may potentially disrupt sleep. Previous studies have produced mixed results on the impact of ABPM on sleep parameters and used actigraphy as the evaluating tool. To date, no studies have investigated the effects of ABPM on sleep parameters evaluated through polysomnography. This study aimed to examine the effects of ABPM on objectively assessed sleep parameters. We evaluated five women and five men (age: 38.0 ± 15.0 years; BMI: 27.0 ± 3.5kg/m²) using full polysomnography over two nights in a sleep laboratory-one night with ABPM and one night without it, with nocturnal assessments every 30min. The order of the conditions was randomized, with intervals between nights ranging from 3 to 10 days. N2 sleep was significantly longer during the night with ABPM compared to the night without it (66.4 ± 12.4% vs. 57.7 ± 11.3%, p < 0.003). Conversely, the apnea-hypopnea index was higher on the night without ABPM (13.1 ± 21.2 vs. 10.5 ± 19.8 events/hour, p < 0.005). Participants did not rate the night with ABPM as worse than the night without, and no significant differences were observed in total sleep time, sleep latency, sleep efficiency, number of awakenings, or time awake after sleep onset. ABPM does not appear to adversely affect significant objective sleep parameters or subjective evaluations of sleep quality.

Sex-specific changes in sleep quality with aging: Insights from wearable device analysis.

Prior studies evaluating sleep quality have found that women often have better polysomnography-defined sleep quality than men, but women subjectively report a greater frequency of sleep disturbances. Although these studies can be partially attributed to study design, it is currently unclear what may be causing these discrepancies. In this study, we aim to identify potential differences in objectively assessed sleep quality between men and women with further emphasis on subgroup analysis based on age. We hypothesize that women's sleep worsens after menopause. Sleep quality was assessed by comparing the Sleep Quality Index, Arousal Index, sleep efficiency and apnea-hypopnea index, as provided by the SleepImage Ring@ 2.3.0, between men and women, with a sub-group analysis performed by age (18-40 years, 41-50 years, 51-60 years, 61-70 years, and > 70 years), run separately for women and men. In total, 1444 subjects (704 women and 740 men) with a mean age of 53.6 ± 14.71 years were enrolled in this analysis. In women, a significant drop in Sleep Quality Index was noted after age 51 years. Regression analysis demonstrated that age, Arousal Index, sleep efficiency and apnea-hypopnea index correlated significantly with Sleep Quality Index - with age, Arousal Index and apnea-hypopnea index negatively correlated, and sleep efficiency positively correlated. The highest correlation coefficient was obtained for Arousal Index in both women and men. In women, age older than 50 years was associated with a more rapid decrease of sleep quality than men, as defined by an increase in Arousal Index and apnea-hypopnea index with a concurrent decrease in Sleep Quality Index.

Effects of combined anesthesia on pulmonary oxygenation function, hemodynamics, and respiratory compliance in elderly patients undergoing pulmonary lobectomy for lung cancer.

Traditional general anesthesia in elderly lung cancer patients undergoing pulmonary lobectomy may lead to hemodynamic fluctuations and postoperative complications. To optimize anesthesia efficacy, this study explores the application of combined anesthesia (general anesthesia combined with thoracic paravertebral block) in such surgeries. We evaluated the improvement of pulmonary oxygenation function, hemodynamic stability, and respiratory compliance in elderly lung cancer patients undergoing pulmonary lobectomy with combined anesthesia. This retrospective study analyzed 100 elderly lung cancer patients who underwent pulmonary lobectomy at our hospital from February 2020 to December 2023. Patients were divided into 2 groups: the control group received general anesthesia, while the treatment group received combined anesthesia (general anesthesia plus thoracic paravertebral block). By comparing intraoperative hemodynamic parameters, postoperative pulmonary oxygenation function, respiratory compliance, cognitive function, sleep quality, and postoperative complication rates between the 2 groups, we assessed the application efficacy of combined anesthesia. Compared to the control group, the treatment group exhibited better hemodynamic stability intraoperatively, significantly improved postoperative pulmonary oxygenation function and respiratory compliance. Additionally, patients in the treatment group showed faster recovery of cognitive function, better sleep quality, and a relatively lower incidence of postoperative complications. Combined anesthesia demonstrates unique advantages in pulmonary lobectomy for elderly lung cancer patients, optimizing intraoperative hemodynamic stability, promoting postoperative pulmonary function recovery, accelerating cognitive function recovery, improving sleep quality, and potentially reducing the risk of postoperative complications. This finding provides a new effective strategy for anesthesia management in elderly lung cancer patients.

Retraction: Evaluation of sleep quality and duration using wearable sensors in shift laborers of construction industry: a public health perspective.

[This retracts the article DOI: 10.3389/fpubh.2022.952901.].

The Effect of the Application of Adductor and Infiltration of Local Anesthetic Between the Popliteal Artery and Capsule of the Knee (IPACK) Block to Patients on Postoperative Recovery and Sleep Quality Following Total Knee Arthroplasty: a Randomized, Controlled Study

Aim: The adductor canal block (ACB) and IPACK (Infiltration of local anesthetic between the popliteal artery and capsule of the knee) block are motor protective blocks that provide effective analgesia and allow early ambulation. The aim of this study was to investigate the effect on postoperative recovery and sleep quality of patients applied with ACB and IPACK for total knee arthroplasty (TKA). Material and Method: This prospective, double-blinded, randomized, controlled study included 80 patients who underwent unilateral TKA under spinal anesthesia. The patients were separated as those applied with ACB+IPACK (Group ACB+IPACK, n=40) and a control group (Group C, n=40). The primary outcome was the postoperative first-day quality of recovery scale (QoR-15). Secondary outcomes were postoperative first and second-day Timed-Up-and-Go (TUG) test and range of motion (ROM), the total amount of rescue opioid drugs required, pain scales at different time points in the first 48 hours postoperatively, sleep evaluation on the postoperative and 6 following nights, and evaluation of sleep quality for 1 month using the Pittsburgh Sleep Quality Index (PSQI). Results: The QoR on postoperative days 1 and 7 were better in the ACB+ IPACK group than in the control group (p= 0.001, p= 0.002, respectively). On postoperative days 1 and 2, the TUG (p= 0.035, p= 0.019, respectively) and ROM (p=0.003, p=0.000) values were higher in the ACB+ IPCAK group. Postoperative opioid consumption was lower in the ACB+IPACK group (p= 0.012). The PSQI values at 1 month postoperatively were similar in both groups (p =0.095). Conclusion: The study results demonstrated that ACB+IPACK applied with ultrasound for TKA postoperative analgesia provided effective analgesia, higher QoR and physical performance, and reduced postoperative opioid consumption. However, there was no effect on postoperative sleep quality.

Evaluation of sleep quality in patients with idiopathic intracranial hypertension

ABSTRACT Objective: Idiopathic intracranial hypertension (IIH) is a condition that has no known cause and progresses with increased cerebrospinal fluid (CSF) pressure. Sleep apnea or other sleep disorders may occur with increased intracranial pressure (ICP). This study aims to determine the relationship between the signs and symptoms of IIH and sleep quality. Patients and Methods: Three self-reported questionnaires, namely The Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), and the Beck Depression Inventory (BDI)) were administered to 31 IIH patients and the same number of controls and the scores were compared. Scores were analyzed according to the presence of symptoms in the IIH group. The correlation of these scores with ICP was evaluated. Results: Between the two groups, the IIH group had significantly higher PSQI scores (p=0.009). Also, a significant relationship was shown between papilledema and PSQI scores (p=0.017); patients with papilledema had lower PSQI scores than patients without papilledema. BMI values were higher in patients without papilledema (p = 0.031). In the IIH group, PSQI and BDI scores had a positive correlation (r = 0.638, p &lt; 0.001). Conclusion: Sleep quality is impaired in patients with IIH, and the effect of being overweight in this deterioration is more pronounced than presence of papilledema.

Inadequate sleep as a limiting factor in achieving remission in patients with rheumatoid arthritis

IntroductionGood sleep has a restorative effect at the cellular level and helps maintain the body's homeostasis. ObjectivesGiven our clinical experiences, we propose that sleep quality should be evaluated in patients with rheumatoid arthritis. Poor sleep quality should be considered as a factor that may impact clinical outcomes in patients with rheumatoid arthritis. Materials and methodsWe researched medical literature on clinical and physiological pathways associated with sleep quality. ResultsThere is evidence that interleukin-6 and tumor necrosis factor have a role in inflammatory and immune imbalance as well as in sleep disturbance in patients with rheumatoid arthritis, which leads to the chronic inflammatory process seen in these patients. Most patients with rheumatoid arthritis report sleep problems, be it insomnia or other complaints of non-refreshing sleep. Lack of sleep or poor sleep patterns in these patients further compromise their quality of life. In patients with RA, aetiologies such as restless leg syndrome (RLS), sleep apnoea syndrome, and Temporomandibular Joint Dysfunction (TMJ) syndromes might contribute to sleep disturbances. This lack of restful sleep might limit our goal, as treating physicians, to achieve remission states in these patients. ConclusionsIt is our opinion that sleep quality evaluation must be addressed, monitored, and treated as part of the management of patients with RA. Bad sleep adds an additional burden to disease activity in patients with RA, besides, it limits patients’ possibility of achieving disease remission.

Magnetic Garments Promote Parasympathetic Dominance and Improve Sleep Quality in Male Long-Distance Runners Following a 30 km Run.

This study aimed to investigate the effects of high-intensity running on the autonomic nervous system and sleep quality of male long-distance runners and to examine the impact of wearing magnetic garments on these parameters. Fifteen highly trained male collegiate long-distance runners participated in a randomized, double-blind crossover study. Participants completed two 30 km runs (30k-RUN) during a 10-day training camp. After each run, they wore either magnetic (MAG) or non-magnetic control (CTRL) garments. Sleep quality and heart rate variability (HRV) were assessed using a wrist-worn device before and after each 30k-RUN. Wearing MAG garments post-30k-RUN resulted in significantly longer deep sleep duration compared to CTRL. HRV analysis revealed that the MAG condition led to a significantly higher root mean square of successive RR interval differences and high-frequency power, indicating enhanced parasympathetic activity. The low-frequency to high-frequency ratio was significantly lower in MAG than in CTRL. Perceived recovery scores were significantly higher in MAG than in CTRL. The findings of this study suggest that wearing magnetic garments following high-intensity endurance running may promote parasympathetic dominance and improve sleep quality in male long-distance runners. These findings indicate that magnetic garments may be a practical method for enhancing recovery in athletes following intense training.

Sleep State Monitoring System Based on Flexible Pressure Sensor Arrays for Evaluating Sleep Quality

Sleep State Monitoring System Based on Flexible Pressure Sensor Arrays for Evaluating Sleep Quality

A ballistocardiogram dataset with reference sensor signals in long-term natural sleep environments

To facilitate unobtrusive and continuous sleep monitoring and promote intelligent sleep quality assessment, we present a dataset that includes multiple nights of continuous ballistocardiogram (BCG) data collected using piezoelectric film sensors from 32 subjects in their regular sleep environments. Besides, the referenced heart rate and respiratory data are also recorded by reference sensors to validate the accuracy of the cardiac and respiratory components extracted from the BCG signals. The dataset serves as a foundation for research on unobtrusive vital sign monitoring based on BCG signals, offering data support for the evaluation and optimization of sleep quality.

An evaluation of sleep quality and nutritional status in nurses with different chronotypes

This study was conducted to investigate the effect of shift work on the sleep quality and nutritional status of nurses with different chronotypes. The study was designed to include 21 people from each chronotype and was completed with 60 participants. The participants were asked to record their food consumption during three different types of shifts they worked over a period of three days. We found that the Pittsburgh Sleep Quality Index (PSQI) score of the evening types was higher than that of the morning types (p < 0.05). The evening types had significantly higher weight, BMI, waist circumference, hip circumference, waist-to-height ratio and neck circumference measurements than the morning types (p < 0.05). The daily energy, fat and SFA intakes of the morning types were significantly higher for those working 16:00–08:00 and 08:00–08:00 compared to those working 08:00–16:00 (p < 0.05). The highest carbohydrate intake was between 08:00–08:00. The amount of carbohydrate, energy and SFA consumed by the intermediate types between 08:00 and 08:00 was significantly higher than that consumed between 08:00 and 16:00. Chronotype and shift hours should also be taken into account when developing nutrition plans for participants who work shifts.

Combining Signals for EEG-Free Arousal Detection during Home Sleep Testing: A Retrospective Study.

Introduction: Accurately detecting arousal events during sleep is essential for evaluating sleep quality and diagnosing sleep disorders, such as sleep apnea/hypopnea syndrome. While the American Academy of Sleep Medicine guidelines associate arousal events with electroencephalogram (EEG) signal variations, EEGs are often not recorded during home sleep testing (HST) using wearable devices or smartphone applications. Objectives: The primary objective of this study was to explore the potential of alternatively relying on combinations of easily measurable physiological signals during HST for arousal detection where EEGs are not recorded. Methods: We conducted a data-driven retrospective study following an incremental device-agnostic analysis approach, where we simulated a limited-channel setting using polysomnography data and used deep learning to automate the detection task. During the analysis, we tested multiple signal combinations to evaluate their potential effectiveness. We trained and evaluated the model on the Multi-Ethnic Study of Atherosclerosis dataset. Results: The results demonstrated that combining multiple signals significantly improved performance compared with single-input signal models. Notably, combining thoracic effort, heart rate, and a wake/sleep indicator signal achieved competitive performance compared with the state-of-the-art DeepCAD model using electrocardiogram as input with an average precision of 61.59% and an average recall of 56.46% across the test records. Conclusions: This study demonstrated the potential of combining easy-to-record HST signals to characterize the autonomic markers of arousal better. It provides valuable insights to HST device designers on signals that improve EEG-free arousal detection.

Virtual reality improves sleep quality and associated symptoms in patients with chronic insomnia

PurposeThe present study aimed to explore the effectiveness of virtual reality (VR) therapy on sleep quality and associated symptoms, such as depression and anxiety, cognitive decline and autonomic nervous dysfunction, in chronic insomnia patients. MethodsSixty-three chronic insomnia patients were randomly divided into VR group (n = 32) and control group (n = 20) based on a standard drug therapy. Patients were instructed to use VR at home once a day at evening for 6-week treatment. All participants received evaluations of subjective sleep quality measured with the Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI), and the Epworth Sleepiness Scale (ESS), depression and anxiety symptoms measured with the Hamilton Depression Scale (HAMD) and Hamilton Anxiety Scale (HAMA), cognitive function, and objective sleep structure and autonomic nerve function examination measured with the sleep respiration monitoring device at baseline and after 6-week treatment. The main objective of this study was sleep quality assessment as the primary outcome. ResultsAfter 6-week treatment, the decreases in PSQI score (−5.60 ± 2.37 vs −4.10 ± 1.80, P = 0.020) and ISI score (−8.81 ± 4.52 vs −6.35 ± 2.89, P = 0.038) of the VR group were significantly greater compared with the control group. The VR group showed more reduction in HAMD score (−9.96 ± 4.41 vs −7.50 ± 2.89, P = 0.035) and HAMA score (−8.96 ± 3.80 vs −6.80 ± 3.22, P = 0.046), and more increase in processing speed (0.54 ± 0.60 vs 0.00 ± 0.79, P = 0.011) than the control group. Moreover, the low-frequency coupling (−10.00 ± 17.40 vs. 8.25 ± 20.03, P = 0.001) was lowered and the high-frequency coupling (9.99 ± 17.40 vs. −8.24 ± 20.03, P = 0.001) was elevated in the VR group relative to the control group. ConclusionOur findings offered preliminary evidence that VR therapy enhanced sleep quality and also lessened depressive and anxious symptoms, and improved cognitive and autonomic functioning in patients with chronic insomnia.

The Impact of Lunch Timing on Nap Quality.

Previous research has established that food intake is a biological regulator of the human sleep-wake cycle. As such, the timing of eating relative to sleep may influence the quality of sleep, including daytime naps. Here, we examine whether the timing of lunch (1 h vs. 2 h interval between lunch and a napping opportunity) impacts the quality of an afternoon nap. Using a randomized within-subject design over two separate experimental sessions (7 days apart), participants (n = 40, mean age = 25.8 years) consumed lunch 1 h and 2 h prior to an afternoon nap opportunity. Polysomnography and subjective self-reports were used to assess sleep architecture, sleepiness levels, and nap quality. Results revealed no significant differences in subjective ratings of sleep quality and sleepiness, or in sleep architecture (total sleep time, sleep efficiency, sleep onset latency, sleep stages) between the 1 h and 2-h lunch conditions. All sleep measures were similar when napping followed eating by either 1 h or 2 h, suggesting that eating closer to nap onset may not negatively impact sleep architecture and quality. Future research should continue to identify conditions that improve nap quality, given the well-documented benefits of naps to reduce sleep pressure and improve human performance.

Isotretinoin-Induced Hypersomnia: A Cross-sectional Study and Literature Review.

Isotretinoin is an oral retinoic drug for severe resistant acne cases that has controversially been associated with multiple psychiatric adverse effects. Research has primarily focused on depression and suicidality; however, a few case studies reported hypersomnia and sleep changes after isotretinoin initiation. To assess sleep quality and measure rates of hypersomnia, depression, and anxiety in patients undergoing isotretinoin therapy. This cross-sectional study was conducted at outpatient clinics of the university hospital. The rate of self-reported oversleeping was measured. In addition, researchers used the Pittsburgh Sleep Quality Index to assess sleep quality and conducted semistructured clinical interviews to detect depression and anxiety. Of 123 patients with acne on isotretinoin, 77 (62.6%) reported oversleeping. Nearly half (60 patients, 48.8%) were categorized as poor sleepers according to the Pittsburgh Sleep Quality Index. The interviews revealed anxiety and depression percentages among 9.8% and 4.9% of participants, respectively. Hypersomnia was noticeably high in this study sample; thus, it may cautiously suggest a possible link between isotretinoin and hypersomnia. However, more research is needed to investigate this potential relationship.

Sleep quality and glycemic control in adults with type 2 diabetes mellitus.

Type 2 diabetes mellitus (T2DM) is a common disease that imposes a substantial burden on the healthcare system and patients. Lifestyle modification such as sleep hygiene plays a crucial role in glycemic control. Sleep disorders impact many aspects of health. In this study, we aimed to investigate the correlation between sleep quality and glycemic control in T2DM. Method: This cross-sectional study was performed on 163 T2DM patients, attending Shahid Beheshti Hospital in Hamadan, Iran from March 2020 to 2021. Besides recording the demographic data and HbA1c level of participants, they were asked the Pittsburgh Sleep Quality Index questionnaire for evaluating sleep quality. We employed SPSS ver. 21 for data analysis and considered 0.05 as a significant level. Among all participants, 62 (38%) were female and 30.7% were illiterate. The mean age was 56.67 ± 12.90 years, and HbA1c was 9.03 ± 1.92 mg/dL. Among sleep metrics, mean waking time was 8.74 ± 1.74 hours, and average sleep time was 12.90 ± 4.90 hours. Overall, 58.2% of the participants had poor glycemic control and 44.8% were suffering from poor sleep quality. We found that patients with poor glycemic control exhibited significantly higher levels of sleep disturbances compared to those with good glycemic control (P < 0.001). Sleep quality is associated with glycemic control in patients with T2DM. Sleep disorders are common among diabetic patients. Thus, healthcare providers need to consider sleep quality improvement in their holistic approach to diabetes management.

Study on the classification of sleep stages in EEG signals based on DoubleLinkSleepCLNet.

The classification of sleep stages based on Electroencephalogram (EEG) changes has significant implications for evaluating sleep quality and sleep status. Most polysomnography (PSG) systems have a limited number of channels and do not achieve optimal classification performance due to a paucity of raw data. To leverage the data characteristics and enhance the classification accuracy, we propose and evaluate a novel dual-link deep neural network model, 'DoubleLinkSleepCLNet'. The DoubleLinkSleepCLNet model performs feature extraction and efficient classification on both the raw EEG and the EEG processed with the Hilbert transform. It leverages the frequency domain and time domain feature modules, resulting in superior performance compared to other models. The DoubleLinkSleepCLNet model, using the 2 Raw/2 Hilbert data modes, achieved the highest classification performance with an accuracy of 88.47%. The average accuracy of the EEG was improved by approximately 4.08% after the application of the Hilbert transform. Additionally, Convolutional Neural Network (CNN) demonstrated superior performance in processing phase information, whereas Long Short-Term Memory (LSTM) excelled in handling time series data. The application of the Hilbert transform to EEG data, followed by processing it with a convolutional neural network, enhances the accuracy of the model. These findings introduce novel concepts for accelerating sleep stage prediction research, suggesting potential applications of these methods to other EEG analyses.

Evaluation of Sleep Quality Among People Living With Type 2 Diabetes Mellitus in Taif, Saudi Arabia: A Cross-Sectional Study.

Type 2 diabetes mellitus (T2DM) is characterized by high blood glucose levels, which are highly associated with poor sleep quality, cardiovascular disease, and pathological changes. This research examines the relationship between sleep quality and T2DM and compares it with nondiabetics within the Taif community. The findings of this study will provide valuable insights and recommendations to enhance the overall health quality in Taif, Saudi Arabia. A cross-sectional study was conducted on 547 patients with T2DM between December 1, 2023, and April 1, 2024, in Taif. The sleep quality was assessed using the Sleep Quality Questionnaire (SQQ). Data were collected using an online questionnaire with two parts: primary demographic data and an assessment of sleep quality using the SQQ. Our study enrolled 814 participants, including 547 with T2DM and 267 nondiabetics. Participants with T2DM had poorer sleep quality, with a median score of 21 vs. 25 (P< 0.001). Significant factors affecting sleep quality included gender (P= 0.002), marital status (P= 0.023), and job status (P= 0.023). Nondiabetics had better sleep quality (76%) than participants with T2DM (61.1%). Males, married, and employed individuals reported higher sleep quality scores. Research indicates that individuals with T2DM experience lower sleep quality than the general population, particularly among female, unmarried, and unemployed individuals. To enhance sleep quality in patients with T2DM, it is essential to increase awareness, provide education on proper sleep habits, and highlight the importance of effective diabetes management, screening for sleep disorders, and consistent monitoring.

Evaluation of sleep quality in stage II and stage III colorectal cancer patients–secondary analysis of a randomized controlled trial

Abstract Background: Sleep quality in cancer patients often does not receive sufficient attention from their treating physicians and nurses. This report aims to highlight this under-researched issue among colorectal cancer patients scheduled to receive adjuvant chemotherapy. Materials and Methods: This is a secondary analysis of data from 129 participants from a randomized controlled trial conducted to determine the nurse-led intervention’s effect on cognitive and non-cognitive functions and serum TNF-alpha levels in patients receiving chemotherapy for colorectal cancer at Tata Memorial Hospital. The Pittsburgh Sleep Quality Index was used to collect data on sleep quality. The study also explored potential reasons for the reported poor sleep quality in the selected cohort. Results: The prevalence of poor sleep quality was approximately 60%. Sleep was primarily affected due to poor sleep latency and sleep efficiency. Also, women were more likely to experience issues related to sleep. Patients did not consider it a significant issue to report to their treating physicians and nurses. Factors contributing to poor sleep quality included financial concerns, child-rearing responsibilities, and anxiety about disease outcomes. Conclusion: Cancer patients do experience poor sleep quality, and it is crucial to assess and address this issue promptly to prevent adverse responses to cancer therapy, which can lead to increased morbidity and mortality.

Evaluation of sleep quality among chemotherapy-treated cancer patients

Evaluation of sleep quality among chemotherapy-treated cancer patients