Poor Sleep Quality Research Articles

Comfort Need of Hospitalised Patients With Covid-19 During Isolation Precaution: A Qualitative Study.

This study aimed to explore the experiences of hospitalised patients with Covid-19 in terms of the meeting of their comfort needs and the source of discomfort during isolation precautions. Qualitative descriptive phenomenological approach was applied in this study. There were 16 hospitalised patients with Covid-19 and 11 nurses who were thoroughly interviewed. Content analysis was conducted to examine the data of the interviews and then managed using Atlas ti-9 software. Five central themes were identified that describe the comfort needs and the source of discomfort, as follows: (1) nursing professionalism; (2) physical discomfort; (3) psychological responses; (4) poor sleep quality; and (5) spiritual adaptations. The study promoted further explanation about comfort need in patients with Covid-19 in isolation room. This study also highlighted that nursing care played a pivotal part in assisting patients to reach their highest comfort level.

Sleep: The Silent Hero in Cardiometabolic Health

The essential role of sleep in overall health is increasingly recognized, yet it remains underemphasized in both clinical and public health contexts. Despite extensive research linking poor sleep health to chronic conditions such as cardiovascular disease, type 2 diabetes, and cognitive decline, sleep health is not routinely assessed or integrated into standard care practices. Sleep problems, including insomnia, sleep apnea, and poor sleep quality, are prevalent globally, affecting over 30% of the population and contributing to significant public health burdens like cardiometabolic disease, mental health disorders and multimorbidity. The economic implications are substantial, with insufficient sleep imposing significant societal and financial costs worldwide. Recognizing this, recent initiatives like the American Heart Association’s inclusion of sleep in the Life’s Essential 8 framework highlight the importance of sleep in cardiometabolic health. Integrating sleep into clinical and public health strategies is crucial, due to the wide-ranging impact of sleep on cardiometabolic health. Social, environmental, and demographic factors also play significant roles in sleep health, with lower socioeconomic groups and women often experiencing poorer sleep, further exacerbating health disparities. Adopting a life course approach and promoting healthy sleep behaviors early in life are essential for mitigating long-term cardiometabolic risks. Effective evidence-based strategies for improving sleep behaviors and cardiometabolic health, beyond addressing sleep disorders, include prioritizing sleep hygiene, managing stress, promoting physical activity, maintaining a healthy diet, and reducing substance use, all of which contribute to overall well-being. In conclusion, incorporating sleep health into routine cardiometabolic risk stratification, prevention, and management is essential for improving overall health outcomes.

Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder.

Poor sleep quality in Autism Spectrum Disorder (ASD) individuals is linked to severe daytime behaviors. This study explores the relationship between a prior night's sleep structure and its predictive power for next-day behavior in ASD individuals. The motion was extracted using a low-cost near-infrared camera in a privacy-preserving way. Over two years, we recorded overnight data from 14 individuals, spanning over 2000 nights, and tracked challenging daytime behaviors, including aggression, self-injury, and disruption. We developed an ensemble machine learning algorithm to predict next-day behavior in the morning and the afternoon. Our findings indicate that sleep quality is a more reliable predictor of morning behavior than afternoon behavior the next day. The proposed model attained an accuracy of 74% and a F1 score of 0.74in target-sensitive tasks and 67% accuracy and 0.69 F1 score in target-insensitive tasks. For 7 of the 14, better-than-chance balanced accuracy was obtained (p-value 0.05), with 3 showing significant trends (p-value 0.1). These results suggest off-body, privacy-preserving sleep monitoring as a viable method for predicting next-day adverse behavior in ASD individuals, with the potential for behavioral intervention and enhanced care in social and learning settings.

Development of a Frailty Prediction Model Among Older Adults in China: A Cross-Sectional Analysis Using the Chinese Longitudinal Healthy Longevity Survey.

To identify the risk factors associated with frailty among older adults in China and develop a predictive model for assessing their frailty risk. Secondary cross-sectional analysis. The 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) provided data for this study. A total of 9006 participants were included in the analysis. Their general demographic, socioeconomic status and health behaviour risk factors were collected in the CLHLS. Frailty was assessed using the Frailty Index. A visual nomogram model was constructed based on independent predictors identified using multivariate analysis. The nomogram's discrimination and calibration capabilities were evaluated using the C-statistics and calibration curves. A 1000-times resampling enhanced bootstrap method was performed for internal validation of the nomogram. The results showed that living in rural settings, having a primary education level, having a spouse, having basic living security, smoking, drinking, exercising and social activities were protective factors against frailty. Increasing age, being underweight or obese, adverse self-assessed economic status and poor sleep quality were risk factors of frailty. The AUC values of the internal validation set were 0.830. The calibration curve was close to ideal. The Brier score was 0.122. The above results showed that the nomogram model had a good predictive performance. A simple and fast frailty risk prediction model was developed in this study to help healthcare professionals screen older adults at high risk of frailty in China. The frailty risk prediction model will assist healthcare professionals in risk management and decision-making and provide targeted frailty prevention interventions. Screening high-risk older adults and early intervention can reduce the risk of adverse outcomes and save medical expenses for older adults and society, thereby realising cost-effective planning of health resources and healthy ageing. No patient or public contribution. This study was a cross-sectional, secondary analysis of the CLHLS data.

Associations of sleep quality with war-related anxiety, childhood stressors, and war-related stressors in a sample of adult Israeli civilians during the Hamas-Israel war

The current study examined the sleep quality of Israeli adults following the onset of the Hamas-Israel war, and the associations of reduced sleep quality with the magnitude of war-related anxiety and exposure to adverse war-related events. We also examined whether exposure to stressors during childhood predicts a greater war-related reduction in sleep quality. 536 Israeli adults (mean age 31.4, 209 women) completed an online survey in January 2024, three months into the war. The survey included questionnaires assessing retrospectively childhood harshness (exposure to morbidity and mortality and low socioeconomic status), adverse childhood experiences, and childhood unpredictability. War anxiety was assessed via the war anxiety scale. The participants also completed the Pittsburgh Sleep Quality Index and the Insomnia Severity Index concerning two time points: (a) retrospectively, before the war, and (b) currently, during the war. Participants reported reduced sleep quality and increased symptoms of insomnia during the war. The magnitude of these changes was predicted by exposure to adverse war experiences both directly and indirectly through war-related anxiety. Poorer sleep quality and increased symptoms of insomnia were also indirectly predicted by childhood exposure to morbidity-mortality of close others and childhood unpredictability through greater war-related anxiety. Thus, exposure to the adverse experiences of war, as well as harsh and unpredictable childhoods, could hinder sleep quality during wartime, with these effects mediated by war-related anxiety.

Longitudinal association between adolescent sexual identity and sleep quality: The mediating roles of peer victimization and perceived social support

ObjectiveDespite growing evidence of disparities in sleep quality between sexual minoritized and heterosexual youth, the reasons for these disparities are not well understood. LGBQ+ adolescents often experience challenging peer relationships, which could negatively impact their sleep quality. The current study examined the prospective relationship between sexual minority status and sleep quality over 12months and evaluated whether peer victimization and social support at 6months mediated this relationship among adolescents. MethodsThis study involved a secondary analysis of data from a community sample of 800 adolescents (57.5% female; Mage=14.42years, SD=0.83). Data were collected using web-based surveys over 12months with three time-points: baseline, 6-, and 12-month. ResultsApproximately 19.4% of adolescents self-identified as LGBQ+. Compared to heterosexual adolescents, LGBQ+ adolescents reported poorer global sleep quality, lower perceived social support, greater peer victimization, childhood victimization, and were more likely to be female (all ps < .001). In a longitudinal, parallel mediation analysis adjusting for baseline age, gender, global sleep quality, and childhood victimization, LGBQ+ adolescents reported higher rates of peer victimization (b=0.262 [0.049], p < .001) and less social support (b=−0.385 [0.146], p = .008) at 6months compared with heterosexual peers, predicting poor global sleep quality (b=0.495 [0.191], p = .010 for peer victimization and b=−0.161 [0.068], p = .018 for social support) at 12months. ConclusionThese findings highlight that sexual minority adolescents face increased risks of peer victimization and reduced social support from peers, which contribute to poorer sleep quality. The findings may guide the development of adolescent sleep interventions that also improve social health and relationships.

Association between sleep quality and cognitive impairment in older adults hypertensive patients in China: a case–control study

BackgroundPrevious studies have found that poor sleep quality promotes the occurrence of cognitive impairment (CI), but this relationship has been rarely reported in older adults hypertensive patients. The purpose of this study was to investigate the relationship between sleep quality and CI in older adults hypertensive patients and the mediating effect of sleep quality between physical activity (PA) and CI.MethodsA total of 2072 older adults hypertensive patients were included in this case–control study. Five hundred and eighteen older adults hypertensive patients with CI were matched 1:3 by age and sex to 1,554 older adults hypertensive patients with normal cognitive function. The International Physical Activity Questionnaire-Long Form, Pittsburgh Sleep Quality Index, and Mini-Mental State Examination were used to evaluate PA intensity, sleep quality, and cognitive function in older adults hypertensive patients. Multivariate logistic regression and the mediation package in R Language were used to analyze the relationship between sleep quality and CI and the mediating effect of sleep quality between PA intensity and CI in older adults hypertensive patients.ResultsAfter adjusting for all confounding factors, sleep quality was positively correlated with CI in older adults hypertensive patients (OR = 2.565, 95%CI: 1.958–3.360, p &amp;lt; 0.001), and this relationship also existed in the older adults hypertensive patients with education levels of primary school and below and junior high school and above (OR = 2.468, 95%CI: 1.754–3.473, p &amp;lt; 0.001; OR = 2.385, 95%CI: 1.367–4.161, p = 0.002). In addition, sleep quality mediated part of the mediating effect between PA intensity and CI in older adults hypertensive patients (Za*Zb: - 17.19339; 95%CI: −0.37312, −0.04194).ConclusionPoor sleep quality was associated with the occurrence of CI in older adults hypertensive patients, and this relationship also existed in older adults hypertensive patients with education levels of primary school and below and junior high school and above.

The effects of the paramedics’ field work on their mental status in Jeddah

ABSTRACT Background: Paramedics are continuously exposed to stressful events, making them liable to mental disorders. This study assesses the health of paramedics in Jeddah, focusing on their mental, emotional, and physical well-being. Methods: This cross-sectional study included fieldwork paramedics in Jeddah through an online survey distributed on social media. With a response rate of 86.09%, 192 complete responses were analyzed. Outcomes included mental health, mood and somatic effect, self-esteem, and sleep. Results: Most participants were males (83.85%), married (50%), non-heavy smokers (51.04%), and non-alcohol drinkers (51.04%). A significant number reported health-related work or daily life difficulties, with 62.5%–67.18% attributing these to physical and emotional issues, respectively. Over half rated their mental health as poor or somewhat poor, impacting their relationships significantly. Additionally, 70.31% frequently felt anger, and many faced limitations in physical activities. About 14.58% had a prior mental illness diagnosis, with nearly a quarter on medication, and 61.98% had recently sought psychiatric help. Sleep deprivation affected 61.98%, with 38.53% reporting poor sleep quality. Conclusions: The findings highlight the negative impact on paramedics’ mental health, showing a substantial diagnosis rate of mental disorders, activity limitations, negative mood, and relationship issues. Despite significant sleep problems, a positive aspect is their proactive psychiatric help-seeking behavior.

Salivary IL-1 Beta Level Associated with Poor Sleep Quality in Children/Adolescents with Autism Spectrum Disorder

Background: Sleep disorders are common in youths with autism spectrum disorders. Inflammatory cytokines such as Il-1 beta and Il-6 in saliva have been associated with alterations in sleep quality in various conditions. We assessed whether there were associations between the salivary concentration of IL-1 beta and IL-6 and sleep quality in youths with ASD versus typically developing (TD) age- and gender-matched youths. Method: Forty children and adolescents with ASD or TD participated in this study (20% females). Their parents answered the items of a validated questionnaire on sleep quality (Pittsburgh Sleep Quality Index). Results: The mean Pittsburgh score was significantly higher (i.e., the quality of sleep was poorer) in the ASD group (8.68 ± 0.35 (SEM), ranging from 7 to 12 points), compared to the TD group (7.35 ± 0.54 (SEM), ranging from 2 to 12 points) (p = 0.02, Mann–Whitney U test). There were no significant differences in the salivary concentration of Il-1 beta and IL-6 receptor between the two groups, but salivary IL-1 beta concentration was inversely associated with poor sleep quality in the ASD group. No associations between the salivary Il-6 concentration and sleep quality were found in either group. Linear regression analysis by separate groups revealed significant associations between the sleep quality score and the concentration of IL-1 beta in the ASD group (p = 0.01, OR = −0.53, 95% CI −0.008–0.001). In contrast, no significant associations were observed in the TD group, or for IL-6 in either group. No significant effects of sex, age, or use of psychotropic medications were found. Conclusions: Children and adolescents with ASD showed significantly poorer sleep quality based on their parents’ reports compared to the TD group, and the salivary IL-1 beta concentration was inversely associated with sleep quality only in the ASD group. Further studies on the associations between inflammatory cytokines and sleep in ASD are needed.

Relationship of workload with fatigue and sleep quality in female exercisers

Fatigue is a critical issue for female exercisers that may lead to medical errors, degradation in performance, decreased mental acuity, and social problems. Poor sleep quality is also a contributing factor to the fatigue experienced by female exercisers. Overwork is a factor causing poor sleep quality in female exercisers. The present study aimed to investigate the relationship between workload, fatigue, and sleep quality among female exercisers in the Sleman Regency District. A cross-sectional study was conducted from December 2023 to March 2024 using a self-reported questionnaire. The questionnaire included the Workload questionnaire adapted from the National Aeronautics and Space Administration Task Load Index, the Leeds Sleep Evaluation Questionnaire (LSEQ), and the Subjective Self Rating of Fatigue Assessment Scale (FAS) from the WHO Quality of Life Assessment Instrument (WHOQOL-EF) with 200 respondents in Sleman Regency. The PLS equation model was used to analyze the relationship between workload, sleep quality, fatigue, and the indicators of each instrument. The results showed that female exercisers who were over 40 years old, had children at home, had informal work, did daily exercise in the evening, and had a work schedule in the night had a higher risk of fatigue and poorer sleep quality than those below 40 years old who didn’t have children at home, had formal work, did daily exercise in the morning, and had a work schedule in the morning. A subjective self-rating test was used to measure fatigue, sleep quality, and workload. The training load and intensity of exercise programs influenced fatigue levels, which affected sleep quality. Female exercisers may face challenges balancing exercise with other commitments, such as family responsibilities, leading to overtraining and fatigue. The PLS model test showed a significant relationship between sleep quality and the level of perceived fatigue (p-value = 0.000). Workload significantly impacts sleep quality and fatigue risk in female exercisers. Therefore, managing workload is crucial to improving sleep quality and reducing fatigue risk.

The Relationship Between Blood Pressure Increase and Sleep Quality of Hypertension Sufferer in Lebaksitu Village

Aims: to determine the relationship between increased blood pressure and changes in sleep quality in hypertension sufferers. Method: The study design used a correlational approach with a cross-sectional method. The number of samples was 66 respondents using a purposive sampling technique. Data collection techniques used a sleep quality questionnaire and standardized manual blood pressure measuring instrument. Data processing included editing, coding, entry and cleaning with the SPSS application to analyze univariate and bivariate. Results: this study showed that the majority of blood pressure in hypertension sufferers was in the grade I category of 45.6% with poor sleep quality of 81.8%. The results of this study also showed a significant relationship between increased blood pressure and sleep quality in hypertension sufferers with a significance value of 0.028 (&lt;0.05). Conclusion: Increased blood pressure causes headache symptoms in hypertension sufferers which disrupts the sleep cycle and worsens the quality of sleep in hypertension sufferers.

Prevalence and Correlates of Poor Sleep Quality Among Psychiatry Physicians in Saudi Arabia: A Cross-Sectional Study.

Sleep issues pose a significant burden to public health and well-being in Saudi Arabia. However, research evidence on sleep health among psychiatry physicians in this territory is limited. Therefore, to bridge the research gap, this study was designed to assess the prevalence and predictors of poor sleep quality among psychiatry physicians in the country. This cross-sectional study included 554 psychiatry physicians in Saudi Arabia from March to August 2023. Data were collected via online through a structured questionnaire (Google survey form). Sleep quality, the outcome variable of our study, was evaluated with the Pittsburgh Sleep Quality Index (PSQI; 19 items). Independent variables included sociodemographic and behavioral characteristics, sleep habits, major depression (assessed with Patient Health Questionnaire-9), and anxiety (measured with Generalized Anxiety Disorder-7) symptoms. Binary logistic regression analysis was performed to identify the correlates of poor sleep quality. Based on the PSQI, 61.3% of the study participants had poor-quality sleep (age range: 24-56 years, male: 48.0%). The adjusted model revealed that male participants (AOR = 2.80, 95% CI = 1.70-4.61) and those who had on-call duties ≥ 2 times per week (for three/four per week: AOR = 3.41, 95% CI = 1.89-6.14) were at higher risk of developing poor sleep quality compared to their respective counterparts. Participants with depressive symptoms (AOR = 3.46, 95% CI = 1.60-7.48) and smoking habits (AOR = 3.47, 95% CI = 1.32-9.08) had higher odds of developing poor sleep quality than their counterparts. Moreover, participants who always used their smartphone/laptop before going to bed were more likely to have poor sleep quality than those who never used such (AOR = 3.15, 95% CI = 1.31-7.60). Poor sleep quality is extremely prominent among psychiatry physicians in Saudi Arabia. Male sex, higher on-call duty, smoking habits, depression, and smartphone/laptop use before bedtime were significantly associated with poor sleep quality. These findings emphasize the need for sleep-health promotion interventions for Saudi psychiatry physicians.

Efficacy comparison of five antidepressants in treating anxiety and depression in cancer and non-cancer patients.

Cancer patients have a heightened susceptibility to anxiety and depressive disorders, which significantly impact the effectiveness of cancer treatments and long-term quality of life. This study aimed to compare the efficacy of different antidepressants in cancer and non-cancer patients. A total of 610 patients diagnosed with depressive episodes and/or anxiety disorders were retrospectively included and divided into a cancer group and a non-cancer control group. Antidepressants used included escitalopram, duloxetine, sertraline, venlafaxine, and vortioxetine, combined with trazodone or not. The Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder Questionnaire-7 (GAD-7) scores were used to evaluate the efficacy after 4 weeks and 8 weeks of systematic antidepressants treatment. Compared to the non-cancer group, the cancer group had higher proportions of females, older individuals, and patients with poor sleep quality, while reporting fewer somatic symptoms at baseline (all p < 0.05). PHQ-9 and GAD-7 scores in cancer patients treated with antidepressants were significantly lower than baseline at week 4 and week 8 (all p < 0.05). The sertraline group demonstrated significantly less improvement in GAD-7 scores at week 4 and in both GAD-7 and PHQ-9 scores at week 8 compared to the escitalopram group, while duloxetine, venlafaxine, and vortioxetine showed comparable efficacy to escitalopram. Antidepressants combined with trazodone showed significant improvement in PHQ-9 scores at week 4 compared to those without trazodone. The gynecological cancer group showed significantly more improvement in GAD-7 and PHQ-9 scores at week 4 and 8 compared to breast cancer patients. Antidepressant treatment in cancer patients with anxiety and depression is as effective as in non-cancer patients. The efficacy of escitalopram is comparable to duloxetine, venlafaxine, and vortioxetine, all of which outperformed sertraline in cancer patients.

The Effect of Sleep Quality on Stress Levels in Night Shift and Non-night Shift Workers: A Cross-Sectional Study

The sleep–wake cycle, which is regulated by the endogenous circadian rhythm, is disrupted by night-shift work. Altered sleep patterns owing to shift work have been associated with irritability, depressed mood, anxiety, and nervousness. The objective of the study was to evaluate the effect of sleep quality on stress in night shift workers and non-night shift workers. A cross – sectional study was conducted in 30night shift and 30 non-night shift workers of Railway Mail Service and Postal Department, Thrissur, Kerala. Sleep quality was assessed using Pittsburg Sleep Quality Index and stress was assessed using Perceived Stress Scale. The findings revealed that a majority of night shift workers reported poor sleep quality, with a significant correlation observed between sleep quality and shift work. Furthermore, stress levels were markedly higher among night workers with poor sleep quality. Regression analysis indicated a positive association between impaired sleep quality and elevated stress levels.

Depression, Anxiety, and Stress Mediate the Relationship Between Poor Sleep Quality and Suicidal Ideation Among Young Chinese Men

Objective Poor sleep quality exacerbates suicidal ideation. Depression, anxiety, and stress may play important roles in this relationship. However, the underlying mechanisms remain unknown. Method A total of 2,598 young men were recruited for a cross-sectional study focusing on a range of sociodemographic factors, emotions, sleep quality, and suicidal ideation. Parallel, serial, and moderated mediation models were used to determine whether depression, anxiety, and stress mediated the relationship between poor sleep quality and suicidal ideation. Results Direct and indirect effects of poor sleep quality on suicidal ideation were observed. Depression, anxiety, and stress mediated the relationship between poor sleep quality and suicidal ideation (β Depression = 0.166, 95% confidence interval [CI]: 0.144, 0191; β Anxiety = 0.153, 95% CI: 0.130, 0.177; β Stress = 0.176, 95% CI: 0.154, 0.200). The serial mediation model indicated that depressive and stress symptoms co-play a serial mediating role in the relationship between poor sleep quality and suicidal ideation (β a = 0.049, 95% CI: 0.036, 0.062; βb = 0.099, 95% CI: 0.080, 0.120). The moderated mediation model revealed that the mediating role of stress on the relationship between poor sleep quality and suicidal ideation was moderated by depression (β = 0.173, 95% CI: 0.150, 0.197). Self-reported measures and the study’s cross-sectional design preclude the causal inferences reported. Conclusions The findings of this study prompt clinical and scientific researchers to consider the interplay among affective disorders when investigating etiological and psychological factors that may contribute to suicidal ideation.

Sleep Quality Assessment and Its Predictors Among Saudi Adults with Type 1 and Type 2 Diabetes: A Cross-Sectional Study

Background: Poor sleep quality is prevalent among adults with diabetes, impacting their physical, psychological, and functional well-being. Our goals were to assess the prevalence of poor sleep quality and its association with glycemic control and to identify predictors of poor sleep quality among adults with diabetes mellitus. Methods: This cross-sectional study took place at a tertiary hospital, from October 2022 to March 2023, including 192 adults with type 1 and type 2 diabetes. We collected demographic and clinical data and utilized the Pittsburgh Sleep Quality Index (PSQI) scale to evaluate sleep quality. Results: A total of 65.9% of the participants experienced poor sleep quality (PSQI score &gt; 5), with an average global sleep quality score of 7.36 ± 3.53 for all patients. Poor sleep quality was higher among older and married patients, those with lower education levels, housewives, and those with type 2 diabetes mellitus and associated comorbidities, such as hypertension and dyslipidemia. None of these factors were significantly associated with sleep quality in a multiple linear regression analysis. The mean glycated hemoglobin was 8.68 ± 1.91% and did not correlate with the overall PSQI score and its components. Conclusions: This study revealed a notably high prevalence of poor sleep quality among Saudi adults with diabetes, potentially associated with specific sociodemographic and clinical factors. These findings emphasize the importance of integrating sleep quality education into diabetes management strategies.

Sleep deprivation and its associated factors among early adolescents in selected schools of Kathmandu Metropolitan City

Background: Sleep deprivation is a growing mental health issue that is characterized by a lack of adequate sleep with fatigue and lethargy. It is an increasing concern for early adolescents as they have constant access to the internet and social media nowadays. This research aimed to identify the prevalence of sleep deprivation and its associated factors among early adolescents. Methods: A cross-sectional study was conducted on 329 early adolescents from selected schools in Kathmandu valley. The lottery method was used to select the study area and simple random was used for sample units. A semi-structured questionnaire and face-to-face interview were conducted as a data collection tool and technique. KOBO toolbox and SPSS 25.0 were used for data entry and analysis. Relevant descriptive statistics were computed for all variables and the association was computed using the Chi-square test. Results: Among 329 respondents, 60.2% had poor sleep quality, and 54.7% were dependent upon social media. Sleep quality and social media dependency were positively associated with the gender of the respondent, frequency of checking social media apps per day, use of social media before sleeping and after waking up, duration of social media usage before sleeping, academic performance, and interest in studying. Conclusions: This study showed a significant relationship between social media usage, poor sleep quality, and academic performance. It highlighted a critical need for awareness of sleep deprivation and the psychological effects of excessive social media usage on adolescents in Kathmandu valley.

Sleep characteristics and recurrence in platinum-sensitive ovarian cancer survivors: A prospective cohort study

ObjectiveTo describe characteristics of sleep (quality, duration, efficiency, and insomnia) in a cohort of high-grade epithelial ovarian cancer (EOC) survivors who have completed and responded to first-line chemotherapy, and to explore their relationships with disease recurrence. MethodsIn this cohort of 97 women, sleep and other factors were assessed at baseline and 4 months later. The distribution of participants by categories of sleep characteristics were calculated. Hazard ratios (HRs) and 95 % confidence intervals (95 % CI) for the association between each sleep characteristic and recurrence were estimated using the Cox proportional hazards model, and adjusted for confounding using propensity scores. Associations were estimated for all women and among those defined as fully platinum-sensitive. ResultsAt baseline, just over half of participants (52.6 % to 56.7 %) had poor sleep quality, efficiency and duration, while most (62.9 %) did not experience insomnia. Distributions remained similar 4 months later. During follow-up, 47 recurrences occurred. Among all participants, HRs (95 % CIs) of recurrence were close to the value of 1, indicating no association, for sleep quality and efficiency, 1.22 (0.66–2.23) for not meeting vs. meeting sleep duration guidelines and 0.68 (0.34–1.39) for the presence vs. absence of insomnia. In fully platinum-sensitive women, the HRs (95 % CIs) were 1.50 (0.64–3.53) for not meeting duration guidelines, 1.25 (0.56–2.79) for poor sleep efficiency, 1.44 (0.55–3.72) for the presence of insomnia, and remained null for sleep quality. ConclusionMost EOC survivors have poor sleep quality, duration, and efficiency. Research with larger sample sizes is required to better understand the relationship between these sleep characteristics and the risk of recurrence.

Effects of magnesium and potassium supplementation on insomnia and sleep hormones in patients with diabetes mellitus.

Diabetes mellitus is a metabolic condition with hyperglycemia. Literature has shown a correlation between poor sleep quality and duration with an increased incidence of insomnia in diabetic individuals. The goal of this study was to determine the magnesium and potassium supplementation effect among diabetic individuals with insomnia. A randomized controlled trial (single blind) was conducted on 320 patients with diabetes; after 2 months of follow-up, 290 patients completed the trial. The Insomnia Severity Index (ISI) was used to assess the severity and duration of insomnia, before and after the trial. Tablets containing supplements were prepared: placebo (T1), magnesium (Mg, T2), potassium (K, T3), and a combination of Mg and K (T4). Melatonin and cortisol (sleep hormones) were measured from blood (serum) using an enzyme-linked immunosorbent assay (ELISA), before and after the trial. The study included 93 (32.1%) male and 197 (67.9%) female participants. According to the analysis, there was a significant association between the treatment groups and ISI after the trial (post-trial), p = 0.0001. Analysis showed that there was significant association between pre- and post-serum cortisol levels in treatment groups 2, 3, and 4 (T2, T3, and T4) as p-values are 0.001, 0.001, and 0.001 respectively. Similar findings were observed for serum melatonin. The study revealed that magnesium, potassium, and magnesium and potassium combined had a significant effect on serum cortisol and melatonin levels (sleep hormones). In addition, supplementation significantly decreased the severity of insomnia among patients with diabetes by improving sleep duration.

EVALUATION OF THE LEVEL OF SLEEP QUALITY AND FUNCTIONALITY OF PHYSIOTHERAPY STUDENTS

Objective: To evaluate the level of sleep quality and functionality in physical therapy students from the perspective of the International Classification of Functioning. Methods: Descriptive, quantitative study approved by CEP/UESPI. A questionnaire developed by the researchers was used to outline the sociodemographic profile, as well as the validated questionnaire “Pittsburgh Sleep Quality Index” to evaluate the sleep quality of physical therapy students. Regarding the statistical analysis, a 95% confidence interval and a significance value of p&lt;0.05 were considered. Results: 55.89% of the students presented poor sleep quality, 23.53% had sleep disorders and 20.58% had good sleep quality. Analyzing the sleep data, the median was: bedtime at 11:00 p.m., latency of 20 minutes to reach sleep, waking up at 6:00 a.m. and sleeping 6 hours per night. A predominance of females was identified with 69.12% and 30.88% for males. The age range varied between 18 and 32 years with a mean age of 21.64 (SD + - 2.29) years. Regarding functionality, the components of body functions, environmental factors and activity and participation are altered, among them b1341 (sleep functions), b1343 (sleep quality), e2250 (temperature), d230 (performing the daily routine). Conclusion: Physical therapy students presented poor sleep quality and alterations in sleep functionality within the domains of body functions, environmental factors and activity and participation.