Evaluation Of Sleep Quality Research Articles

Evaluation of sleep quality and depressive symptoms among medical students during COVID-19 pandemic

BackgroundDepression and sleep disorders are interrelated and have high prevalence. Based on previous findings, medical students experience high rates of depression and low sleep quality, due to the challenges during medical training programs. During the COVID-19 pandemic, medical students faced extra physical and psychological pressure. This study aimed to evaluate sleep quality and depressive symptoms and their possible association among medical students during COVID-19 pandemic.ResultsOne hundred twenty-one medical students completed the survey. Twenty-six percent of participants had a good sleep quality. Mean sleep duration of participants was approximately 6 h per day. Moreover, they had a mean sleep latency of 28 min and a mean PSQI score of 7.76. We found the prevalence of moderate, moderately severe, and severe depression among participants to be 22%, 6%, and 7%, respectively. The participants’ mean PHQ-9 score was found to be 8.4.ConclusionsWe found a relatively high depression rate, poor sleep quality, and a significant inverse relationship between sleep quality and depression severity score among medical students who were doing their clinical rotations during the COVID-19 pandemic. Additionally, quarter of moderate to severely depressed participants were taking antidepressants. Our findings highlight the need for future interventional studies that address these issues among medical students.

Prevalence of Sleep Disorders Among Patients With Type 2 Diabetes Mellitus at Primary Healthcare Centers in the South Region of Abha City.

Background Type 2 diabetes is a chronic condition that affects the way the body processes blood sugar (glucose). This issue is of considerable importance in the field of public health, as it has a global impact on a substantial number of individuals. The primary emphasis in the management of type 2 diabetes is centered around achieving glycemic control, implementing lifestyle adjustments, and employing pharmaceutical therapies as preventive measures or for the purpose of managing problems that may arise as a result of the disease. Aim This research aimed to investigate the prevalence of sleep-belated issues among individuals diagnosed with type 2 diabetes. Methodology A total of 230 participants with type 2 diabetes patients of primary healthcare in Abha city whose age is ≥18 years were included in the study. The data collection process involved the distribution of a self-administered questionnaire that assessed various aspects of sleep disturbances, including difficulties in falling asleep, waking up during the night, excessive daytime sleepiness, and restless legs or leg muscle cramps. The questionnaire also collected demographic information and data on potential risk factors such as alcohol consumption, caffeine consumption, and smoking/tobacco product use. Data analysis was conducted using chi-square tests and significance levels were set at p < 0.05. Results The findings revealed a prevalence of sleep disturbances among individuals with type 2 diabetes. Difficulties in falling asleep and waking up during the night were reported by a substantial proportion of participants, and a notable number experienced excessive daytime sleepiness. Restless legs or leg muscle cramps that interrupted sleep were experienced occasionally by 16.5% and frequently by 8.7% of the participants. The study also found a significant association between the presence of sleep problems and lower sleep quality ratings. However, no significant associations were found between sleep disturbances and the duration of type 2 diabetes or the examined risk factors. Conclusion The findings from this study emphasize the detrimental effects of sleep disturbances on sleep quality and suggest that improving sleep quality can positively influence the overall health and well-being of individuals with type 2 diabetes.

Evaluation of Sleep Quality, Daytime Sleepiness Levels, and Anxiety and Depression Levels of Inpatients with COVID-19 Treatment According to Oxygen Needs: A Case-control Study

Evaluation of Sleep Quality, Daytime Sleepiness Levels, and Anxiety and Depression Levels of Inpatients with COVID-19 Treatment According to Oxygen Needs: A Case-control Study

Evaluation Of Sleep Quality And Excessive Daytime Sleepiness In Brazilian Crossfit® Users

Evaluation Of Sleep Quality And Excessive Daytime Sleepiness In Brazilian Crossfit® Users

A case report of Korean medicine treatment including Giungoroen-therapy for adhesive capsulitis with insomnia

Objectives: The purpose of this study was to evaluate the effectiveness of insomnia treatment applied with Giungoroen-therapy in relieving adhesive capsulitis.Methods: There is a patient who has had insomnia symptoms for 2 years ago and complained of shoulder pain from 5 months ago. Korean medicine treatment like acupuncture, pharmacopuncture, herbal medicine and Giungoroen -therapy was applied to this patient. As evaluation tools, the numeral rating scale(NRS), a tool for pain evaluation and the Insomnia Severity Index(ISI), a sleep quality evaluation tool, were used. After 12 days of treatment, the range of motion of the shoulder joint increased and the NRS score improved from 8 to 5 and the ISI score improved from 22 to 16.Conclusion: For the treatment of adhesive capsulitis, it can be effective to relieve insomnia by applying Korean medicine treatments, including Giungoroen-therapy.

Prediction of early postoperative pain using sleep quality and heart rate variability.

Accurate predictions of postoperative pain intensity are necessary for customizing analgesia plans. Insomnia is a risk factor for severe postoperative pain. Moreover, heart rate variability (HRV) can provide information on the sympathetic-parasympathetic balance in response to noxious stimuli. We developed a prediction model that uses the insomnia severity index (ISI), HRV, and other demographic factors to predict the odds of higher postoperative pain. We recruited gynecological surgery patients classified as American Society of Anesthesiologists class 1-3. An ISI questionnaire was completed 1 day before surgery. HRV was calculated offline using intraoperative electrocardiogram data. Pain severity at the postanesthesia care unit (PACU) was assessed with the 0-10 numerical rating scale (NRS). The primary outcome was the model's predictive ability for moderate-to-severe postoperative pain. The secondary outcome was the relationship between individual risk factors and opioid consumption in the PACU. Our study enrolled 169 women. Higher ISI scores (p = 0.001), higher parasympathetic activity (rMSSD, pNN50, HF; p < 0.001, p < 0.001, p < 0.001), loss of fractal dynamics (SD2, alpha 1; p = 0.012, p = 0.039) in HRV analysis before the end of surgery were associated with higher NRS scores, while laparoscopic surgery (p = 0.031) was associated with lower NRS scores. We constructed a multiple logistic model (area under the curve = 0.852) to predict higher NRS scores at PACU arrival. The five selected predictors were age (OR: 0.94; p = 0.020), ISI score (OR: 1.14; p = 0.002), surgery type (laparoscopic or open; OR: 0.12; p < 0.001), total power (OR: 2.02; p < 0.001), and alpha 1 (OR: 0.03; p < 0.001). We employed a multiple logistic regression model to determine the likelihood of moderate-to-severe postoperative pain upon arrival at the PACU. Physicians could personalize analgesic regimens based on a deeper comprehension of the factors that contribute to postoperative pain.

Sleep quantity and quality of critically ill children perceived by caregivers and bedside nursing staff: a pilot study.

Sleep is crucial for healing but often impaired in the pediatric intensive care unit due to environmental disruptions. Caregivers and bedside nursing staff are often most aware of these factors and the impact on patient sleep, but studies have not yet compared their perceptions. Caregivers and bedside nursing staff of pediatric patients staying a second night in the pediatric intensive care unit were asked to complete a survey regarding environmental factors (ie, temperature, light, sound, nursing staff room entries), sleep quality, and sleep quantity (ie, sleep duration, number of naps) of the pediatric patient. Caregivers were asked similar questions about their child's sleep at home. The caregivers and nursing staff of 31 pediatric patients participated in this pilot study. There was no significant difference between caregiver and nursing staff ratings of sleep quality, sleep duration, number of naps, room temperature, sound, or light (P > .05 for all). Nursing staff did report significantly more room entries than caregivers (P = .01). Compared to sleep at home, caregivers reported sleep in the hospital to be of lower quality (P = .009) with more frequent room entries (P = .01). Caregivers rate their child's sleep in the pediatric intensive care unit as lower quality than sleep at home. Caregivers and bedside nursing staff largely agree about pediatric patient sleep quality and quantity as well as environmental factors. This agreement may facilitate further research and interventions at improving sleep in the pediatric intensive care unit. Witte MA, Lloyd RM, McGree M, Kawai Y. Sleep quantity and quality of critically ill children perceived by caregivers and bedside nursing staff: a pilot study. J Clin Sleep Med. 2023;19(12):2027-2033.

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.

Interrelationship about body composition on sleep quality, physical activity, and heart rate variability in young adults: a cross-sectional study

Interrelationship about body composition on sleep quality, physical activity, and heart rate variability in young adults: a cross-sectional study

A pilot, randomized, placebo-controlled study of mindfulness meditation in treating insomnia in multiple sclerosis

ObjectiveMindfulness is an established approach to reduce distress and stress reactivity by improving awareness and tolerability of thoughts and emotions. This study compares mindfulness training to sleep hygiene in persons with multiple sclerosis (PWMS) who report chronic insomnia, examining sleep efficiency (SE), self-reported sleep quality and quality of life.MethodsFifty-three PWMS were randomized (1:1) in a single-blinded, parallel group design to ten, two-hour weekly sessions of Mindfulness Based Stress Intervention for Insomnia (MBSI-I) over a span of ten weeks or a single, one hour sleep hygiene (SH) session over one day. The primary outcome measure was SE, measured by the Fitbit™ Charge 2 wrist device, at 10 and 16 weeks from the start of study interventions. Self-report outcomes included the Pittsburg Sleep Quality Rating Scale (PSQI), Insomnia Severity Index (ISI) and the Multiple Sclerosis Quality of Life Inventory (MSQLI). Nineteen participants in the MBSI-I group and 24 in the SH group completed the primary study. Subsequently, ten participants in the original SH group participated in the 10-week MSBI-I course and their data was added to the MBSI-I cohort (eMSBI-I).ResultsWhile neither SE nor the PSQI showed significant differences between MBSI-I, eMBSI-I and SH groups, ISI improved in both the MSBI-I and eMBSI-I vs SH at 10 weeks (p = 0.0014 and p = 0.0275) but not 16 weeks. However, pre and post assessments within the MBSI-I and eMBSI-I cohorts did show significant improvement in the PSQI and ISI at 10 and 16 weeks, while SH was significant in the ISI only at 16 weeks. Several quality of life measurements, including fatigue, mental health and cognitive function favored the mindfulness cohorts.ConclusionThis pilot study demonstrates beneficial effects of MBSR on insomnia, sleep quality and quality of life in PWMS.Trial registrationNCT03949296. 14 May 2019.

What do women mean by poor sleep? A large population-based sample with polysomnographical indicators, inflammation, fatigue, depression, and anxiety

Survey studies indicate that reports of disturbed sleep are prevalent and may be prospectively linked to several major diseases. However, it is not clear what self-reported disturbed sleep represents, since the link with objective sleep measures (polysomnography; PSG) seems very weak. The purpose of the present study was to try to investigate what combination of variables (PSG, inflammation, fatigue, anxiety, depression) that would characterize those who complain of disturbed sleep. This has never been done before. Participants were 319 women in a population-based sample, who gave ratings of sleep quality, fatigue, depression, and anxiety, then had their sleep recorded at home, and had blood drawn the following morning for analysis of immune parameters. Correlations and hierarchical multivariable regression analyses were applied to the data. For ratings of difficulties initiating sleep, the associations in the final step were ß = .22, (p < .001) for fatigue, ß = 0.22 (p < .001) for anxiety, and ß = 0.17 (p < .01) for sleep latency, with R2 = 0.14. The rating of repeated awakenings was associated with fatigue (ß = 0.35, p < .001) and C-reactive protein (CRP) (ß = 0.12, p < .05), with R2 = 0.19. The rating of early morning awakenings was associated with fatigue (ß = 0.31, p < .001), total sleep time (TST) (ß = −0.20, p < .01), and CRP (ß = 0.15, p < .05), with R2 = 0.17. Interleukin-6 and Tumour Necrosis Factor were not associated with ratings of sleep problems. The results indicate that subjective fatigue, rather than objective sleep variables, is central in the perception of poor sleep, together with CRP.

The Impact of Lifestyle Factors on Sleep Efficiency and Sleep Quality

Although previous studies have shown that sleep quality may be related to life factors such as smoking and drinking in a specific potential environment, some evaluations of sleep quality are relatively subjective, and there are few studies on the influence of life factors on sleep efficiency. In this study, sleep quality was quantified by scoring multiple sleep-related variables, and stepwise regression was used to process the data of sleep quality score, sleep efficiency and life factors. Results showed that sleep efficiency was strongly correlated with exercise frequency, alcohol consumption, and smoking status, and sleep quality scores were strongly correlated with caffeine intake, smoking status, and alcohol consumption. Many life factors that may be closely related to sleep have not been focused on their combined effects in previous studies. This study provides suggestions for improving sleep quality and sleep efficiency by changing living habits, and proposes some new perspectives for further research.

Effect of promethazine in cleft surgeries among Indian children.

The use of antihistamine therapy in children for the management of upper respiratory tract infections remains a topic of debate. In this study, we focused on evaluating the effectiveness of promethazine (Phenergan), a first-generation H1 receptor antagonist and sedative, in addressing preoperative and intra-operative sequelae in cleft surgeries. A single-centered, parallel, randomized, double-blinded controlled clinical trial was conducted on 128 children aged 2 to 4 years undergoing cleft palate surgery under general anesthesia. The case group received Phenergan syrup orally twice a day for three days, while the control group received a placebo. Primary outcomes measured preoperative anxiety levels using a children's fear scale, while secondary outcomes assessed preoperative sleep quality and cough rate through objective scales. Intraoperative heart rate was monitored using an ECG connected to a monitor. The results demonstrated that the administration of promethazine resulted in a 34% reduction in anxiety levels, a 46% reduction in cold and cough, a 38% improvement in sleep score, and stable heart rates throughout the surgery compared to the control group. Based on these findings, promethazine is considered a safe premedication option for children undergoing cleft palate surgeries; given its benefits outweigh its adverse effects.

THE RELATIONSHIP BETWEEN PREGNANCY STRESS AND SLEEP QUALITY WITH TRIMESTER

This study was conducted to evaluate pregnancy stress and sleep quality according to trimester. The study, which was planned as a descriptive cross-sectional type, was carried out with 148 pregnant women. Data were collected using a personal information form, PSAS-36 and PSQI. Descriptive statistics, One Way ANOVA, Kruskal Wallis, Mann Whitney U, Independent Two Sample Test and were used in the analysis of the data. The total of 33.1% of the pregnant women were in the first trimester, 33.1% were in the 2nd trimester and 33.8% were in the 3rd trimester. There was no statistically significant difference between the mean PSAS-36 total scores of the pregnant women according to the trimester (p &lt; 0.05). However, it was observed that there was a statistically significant difference between the mean PSQI scores of pregnant women according to trimester (p &lt; 0.001). Poor sleep quality rates were 44.9% in the 1st trimester, 38.8% in the 2nd trimester &amp; 64% in the 3rd trimester. A positive and significant correlation was found between the PSAS-36 and the total PSQI score (r: 0.246; p &lt; 0.05). Increased total pregnancy stress score and being in the 3rd trimester of pregnancy is significantly increases the total score of PSQI (p: 0.001, p: 0.005). It was determined that the stress level of pregnant women was high in all three trimesters, and the worst sleep quality was experienced in the third trimester. Sleep quality decreases as the level of pregnancy stress increases and in the third trimester of pregnancy. It is recommended that midwives and nurses evaluate stress and sleep quality during pregnancy with objective tests and take interventions to reduce the stress level of pregnant women and increase sleep quality.

High-Quality Sleep Mitigates ABCA7-Related Generalization Deficits in Healthy Older African Americans.

Both sleep deficiencies and Alzheimer's disease (AD) disproportionately affect older African Americans. Genetic susceptibility to AD further compounds risk for cognitive decline in this population. Aside from APOE ɛ4, ABCA7 rs115550680 is the strongest genetic locus associated with late-onset AD in African Americans. While sleep and ABCA7 rs115550680 independently influence late-life cognitive outcomes, we know too little about the interplay between these two factors on cognitive function. We investigated the interaction between sleep and ABCA7 rs115550680 on hippocampal-dependent cognitive function in older African Americans. One-hundred fourteen cognitively healthy older African Americans were genotyped for ABCA7 risk (n = 57 carriers of risk "G" allele; n = 57 non-carriers), responded to lifestyle questionnaires, and completed a cognitive battery. Sleep was assessed via a self-reported rating of sleep quality (poor, average, good). Covariates included age and years of education. Using ANCOVA, we found that carriers of the risk genotype who reported poor or average sleep quality demonstrated significantly poorer generalization of prior learning-a cognitive marker of AD-compared to their non-risk counterparts. Conversely, there was no genotype-related difference in generalization performance in individuals who reported good sleep quality. These results indicate that sleep quality may be neuroprotective against genetic risk for AD. Future studies employing more rigorous methodology should investigate the mechanistic role of sleep neurophysiology in the pathogenesis and progression of AD associated with ABCA7. There is also need for the continued development of non-invasive sleep interventions tailored to racial groups with specific AD genetic risk profiles.

Evaluation of Sleep Quality, Work Stress and Related Factors in Hospital Office Workers.

Occupational factors, working conditions, age, gender, exercise, acquired habits, and stress affect a person's sleep quality. The aim of this study was to investigate sleep quality, work stress, and related factors among office workers in a hospital. This cross-sectional study was conducted with office workers actively working in a hospital. A questionnaire consisting of a sociodemographic data form, the Pittsburgh Sleep Quality Index (PSQI), and Swedish Workload-Control-Support Scale were used to assess the participants. Results:The mean of PSQI score was 4.32±2.40 and 27.2% of the participants had poor sleep quality. In the multivariate backward stepwise logistic regression analysis, it was found that shift workers were 1.73 times (95% CI: 1.02-2.91) more likely to have poor sleep quality, and a one-unit increase in work stress score increased the risk of having poor sleep quality by 2.59 times (95% CI: 1.37-4.87). An increase in age was found to decrease the risk of poor sleep quality in workers (OR =0.95; 95% CI: 0.93-0.98). This study suggests that reducing workload and increasing work control as well as enhancing social support will be effective in preventing sleep disturbances. It is important, however, in terms of providing guidance for hospital employees in planning future measures to improve working conditions.

Evaluation of pharyngeal airway space after orthodontic extraction treatment in class II malocclusion integrating with the subjective sleep quality assessment

Orthodontic treatment with premolar extractions is typically used to relieve dental crowding and retract anterior teeth for lip profile improvement. The aim of the study is to compare the changes in regional pharyngeal airway space (PAS) after orthodontic treatment with Class II malocclusion and to identify the correlations between questionnaire results and PAS dimensions after orthodontic treatment. In this retrospective cohort study, 79 consecutive patients were divided into normodivergent nonextraction, normodivergent extraction, and hyperdivergent extraction groups. Serial lateral cephalograms were used to evaluate the patients’ PASs and hyoid bone positions. The Pittsburgh Sleep Quality Index and STOP-Bang questionnaire were used for sleep quality evaluation and obstructive sleep apnea (OSA) risk assessment, respectively, after treatment. The greatest airway reduction was observed in hyperdivergent extraction group. However, the changes in PAS and hyoid positions did not differ significantly among three groups. According to questionnaire results, all three groups had high sleep quality and low risk of OSA, with no significant intergroup differences. Moreover, pretreatment-to-posttreatment changes in PAS were not correlated with sleep quality or risk of OSA. Orthodontic retraction with premolar extractions nither exhibit significant reduction in airway dimensions nor increase their risk of OSA.

In-Home Monitoring Sleep Turnover Activities and Breath Rate via WiFi Signals

In-home sleep monitoring is essential for evaluating sleep quality of individuals. Although many sleep monitoring systems have been developed recently, they have limitations in achieving a good performance at low cost. To address this issue, this article proposes a new system based on channel-state information of domestic WiFi network to monitor both turnover activities and breathing rate of sleepers. Unlike recent approaches placing receiving antennas close to each other, scattered placement is adopted to fully exploit spatial diversity of receiving antennas. More importantly, a new error correction method is proposed to accurately recognize turnover activities. Based on the interrelation between consecutive activities, the proposed method can effectively correct the recognition errors of existing methods including convolutional neural network. Then, for accurately estimating breathing rate, both a new subcarrier selection method and a new peak identification method are proposed. Experiment results show that our system can significantly improve the recognition accuracy of eight typical sleep turnover activities and four typical sleep postures. We can achieve the mean accuracy of 94.59% and 95.83% on the recognition of turnover activities and sleep postures, respectively. Besides, our system can also significantly improve the estimation accuracy of breathing rate especially in tough scenarios, such as prone and side-lying positions.

Evaluation of Sleep Quality in Pregnancy According to Trimesters and Investigation of Related Factors

Evaluation of Sleep Quality in Pregnancy According to Trimesters and Investigation of Related Factors

0294 Sleep Quality Ratings Predict Disagreement Between Daily Objective and Subjective Evaluations of Total Sleep Time in Firefighters

Abstract Introduction Accurate sleep assessment in firefighters is necessary to predict risk for error and also to identify sleep disorders like shift work disorder. Unfortunately, the primary tools for sleep assessment, actigraphy and sleep diaries, are sometimes discordant leaving interpretation of sleep unclear. This analysis sought to examine determinants of daily discrepancies between actigraphy and sleep diaries in firefighters to further understand the validity of these measures in an on-call, high risk occupation. Methods Daily sleep observations (n = 329) were collected from 60 firefighters over the course of a 6-day recovery period after working 5 non-consecutive 24-hour shifts (5/6 tour). Firefighter subjective sleep was measured using the consensus sleep diary, and objective sleep was measured via wrist-worn actigraphy (Actiwatch-2). Mixed linear modeling (MLM) was employed with purposeful selection of covariates to test which day-level variables (day of recovery, emotional state, sleep quality rating) and person-level variables (burnout, age, gender, minority status) best predicted disagreement in total sleep time (TST) between the sleep diary and actigraphy. Results The best-fitting model indicated that TST incongruency (subjective &amp;gt; objective) occurred on days when individuals reported better sleep quality than their own average (Estimate = 19.87, SE = 5.02, p &amp;lt; .001), more feelings of restfulness than their own average (Estimate = 22.70, SE = 4.77, p &amp;lt; .001), less objective TST than their average (Estimate = -.37, SE = .04, p &amp;lt; .001) and for persons with higher duration subjective TST (Estimate = 1.02, SE = .07) and lower duration objective TST (Estimate = -1.00, SE = .08, p &amp;lt; .001). Neither burnout nor daily emotions predicted discrepancies in the two methods of assessment. Conclusion Employees most at-risk for potential overestimation of sleep duration were those that habitually received less objective TST or who habitually reported more TST. A discrepancy in measurement occurred on days when employees reported better-than-usual sleep quality and restfulness after sleep. These robust findings demonstrated that positive perception of sleep quality is a potential indicator of sleep overestimation in firefighters. Further research is necessary to examine the short- and long-term consequences of sleep overestimation in this occupation. Support (if any) #1R01HL117995-01A1