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    This review sought to determine the effect of sleep disturbances on the quality of life experienced by frail older adults. To locate relevant articles, we first chose keywords from a predefined list. Between July and November 2020, the databases Lilacs, PubMed, and Embase were searched. A total of 455 articles were located; 9 of these were selected for inclusion in the present review. Data on frailty, disorders, and sleep quality in the elderly population was compiled by the studies from both subjective sources (e.g., self-reported information and questionnaires) and objective measurements (e.g., devices and medical examinations). Research into the correlation between frailty and sleep disorders has shown varying results, with some studies indicating a link in female participants, others in male participants, and some focusing on how the participants’ age factors into the association between these variables. Based on the evidence, we conclude that a poor quality of sleep, coupled with the presence of various disorders, negatively impacts the quality of life in frail elderly individuals.

    To assess the correlation between sleep duration (Total Sleep Time – TST) and postural control in female night-shift workers pre- and post-shift. To investigate the potential impact of body mass index (BMI) on the postural stability of these female employees, evaluations were carried out both before and after their work shifts. To gauge their performance, 14 female night workers, whose mean age was 35 years and 7 months, were examined. Using an actigraph, the sleep-wake cycle on the wrist was evaluated. Following the measurement of body mass and height, the BMI was computed. The force platform provided a method of assessing postural control, scrutinizing the responses with open and closed eyes before and after the participants’ 12-hour workday. The subjects’ BMI had a discernible impact on the velocity and center of pressure path, as observed pre-shift (t = 255, p = 0.002) and post-shift (t = 410, p < 0.001) after night work. The impact of BMI on velocity and center of pressure path was evident both before and after night work, under conditions where subjects’ eyes were closed (t = 305, p = 0.001; t = 304, p = 0.001; t = 295, p = 0.001; t = 294, p = 0.001). High BMI is further shown to be associated with the postural sway of women in the workforce (p < 0.005). As a result, high BMI negatively impacts the postural control of female night workers, showcasing a lack of stability before and after their night work.

    This study endeavors to assess the correlation of sleep variables with hypovitaminosis D status in rotating shift drivers. Our cross-sectional study focused on 82 male shift workers, aged between 24 and 57, who had one or more cardiovascular risk factors, such as hyperglycemia, dyslipidemia, abdominal obesity, lack of physical activity, hypertension, or smoking. An assessment of sleep parameters was made using the polysomnography method. Logistic regression was utilized to model the relationship between sleep parameters and hypovitaminosis D, accounting for any relevant covariates. The study revealed that 305% of the workers experienced hypovitaminosis D, a condition marked by vitamin D levels below 20ng/mL. Shift workers with inadequate vitamin D levels reported lower sleep efficiency (odds ratio [OR] 368; 95% confidence interval [CI] 195-553), lower oxygen saturation in arterial blood (OR 535; 95% CI 337-612), and a greater microarousal index (OR 385; 95% CI 126-563) after accounting for other factors. We suggest that sleep disturbances in rotating shift workers could be related to the presence of hypovitaminosis D.

    This research aimed to analyze how actigraphy data reflected sleep parameters in wheelchair basketball athletes across the three weeks leading up to the playoffs, the playoff week, and the week following the playoffs. Subsequently, the study delved into the interplay between training volume, sleep quality, and the body’s recovery process. Using a triaxial accelerometer, ten male elite WB athletes collected data over a five-week period, each week consecutively. Athletes’ quality of recovery and session ratings of perceived exertion (sRPE) were also recorded. During the three weeks surrounding the playoffs, encompassing the three weeks prior to, the playoff week, and the week after, no statistically significant differences (p > 0.05) were found in any of the studied parameters. A lack of a meaningful connection was found among training intensity, sleep quality, and recovery metrics. Sleep quantity and quality remain unaffected by the WB competition.

    This systematic review intends to analyze the effects of altitude on sleep breathing, based on recent scientific research, for both healthy individuals and those with sleep disorders. In pursuit of relevant research articles, PubMed and Scopus were systematically searched for English and Spanish language publications dealing with sleep disorders, breathing problems, and altitude, from January 1, 2010, to December 31, 2021. Research on adults performed at elevations of 2000 meters above mean sea level (MAMSL) or greater were included in the dataset. Correlation between altitude, the apnea hypopnea index (AHI), and mean SpO2 during sleep was statistically determined. Eighteen of the one hundred twelve identified articles were incorporated into the results. The altitude and AHI displayed a notable correlation (r = 0.66, p < 0.001), which was unfortunately countered by a rise in the central apnea index. Sleep-related altitude inversely correlates with oxygen levels (Rs = -0.93, P = 0.0001), and a rise in desaturation levels was observed (3% and 4%). Oxygen therapy is a better treatment than servoventilation for respiratory disorders during sleep at high altitudes, promoting optimal oxygenation in healthy individuals. Acetazolamide complements this treatment, controlling respiratory events and oxygenation during sleep. For obstructive sleep apnea patients on CPAP, oxygen proves more effective than servoventilation to rectify oxygenation levels during sleep. During sleep at high altitudes, the AHI increases while oxygenation decreases; oxygen and acetazolamide may be a viable treatment option for altitude-related sleep breathing disorders exceeding 2000 meters above mean sea level.

    A healthy lifestyle, including sufficient objective sleep, is vital for adults with diabetes, yet insufficient sleep can contribute to the development of associated complications. The Reasoned Action Approach served as the framework for comparing adult perceptions of healthy sleep habits (HSHs) in individuals with and without diabetes. Their beliefs about avoiding screen use in bed, a regular sleep schedule, or avoiding caffeine, alcohol, and cigarettes before bed were explored through open-ended questions answered by a total of 56 adults with diabetes and 98 without. With the aid of qualitative content analysis, the investigation aimed to determine the most important convictions, shared attributes, and disparities between the two groups. The implementation of HSHs, in the view of both groups, would likely lead to better sleep quality. In adult patients with diabetes, a regular sleep schedule was deemed beneficial for enhancing diabetes management. Both groups shared a commonality of negative consequences associated with adopting each HSH. Involvement with HSHs was correlated with a primarily negative emotional experience, including feelings of stress, anxiety, and fear, within both groups. Screen time avoidance in bed was linked to anxiety about the unpredictability of nighttime blood glucose levels for adults with diabetes. Partners, parents, and friends were viewed as the most important individuals for approving HSH adoption, however, their personal adoption of HSHs was commonly considered improbable in both cohorts. For adults with diabetes, adopting HSHs was perceived as more challenging due to various barriers. Removing unhealthy sleep triggers, behavior substitution, reminders, time management, and social support aided both groups. Behavioral sleep interventions, including those tailored for adults with diabetes, are influenced by these beliefs.

    Research indicates a correlation between cortisol levels and sleep, and cortisol exhibits a significant daily variation. The available data on the link between chronic insomnia and cortisol levels are not entirely consistent. Chronic insomnia can be a contributing factor to the development of mental health disorders. Evaluating the interplay between insomnia severity, objective sleep patterns, morning cortisol levels, and psychological health constituted the objective of this study. The following instruments were instrumental in the study: the Insomnia Severity Index (ISI), polysomnography, the Beck Depression Inventory (BDI), and the Profile of Mood States (POMS). Serum cortisol analysis was performed using chemiluminescence. The results of the data analysis show a substantial positive correlation between ISI and morning cortisol levels (r = 0.37, p = 0.003), BDI scores (r = 0.44, p < 0.001), and POMS-tension anxiety (r = 0.39, p = 0.002). Sleep stages N2 and N3 were found to be correlated with POMS-fatigue, with the correlation coefficients and p-values being r=0.46, p<0.001 and r=-0.37, p=0.004, respectively. Sleep stage N3 displayed a statistically significant negative correlation with the POMS tension-anxiety scale (r = -0.36, p < 0.005). The severity of insomnia was positively correlated with elevated morning cortisol levels, concurrent depression, and pronounced tension-anxiety. Sleep stage N2 was linked to an increase in fatigue, and sleep stage N3 was associated with a decrease in tension-anxiety and fatigue.

    Type 1 diabetic (T1DM) patients have had their sleep quality and mood measured, however, their chronotypes were not investigated. rsl3activator This study’s objectives involved examining the interplay between chronotypes, sleep and mood, and their correlation with metabolic parameters in this sample. A cross-sectional observational study was the method of investigation adopted. The study population included adults who had received a diagnosis of type 1 diabetes, specifically T1DM.

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