The Prevalence and Predictors of Sleep Disorders and Their Impact on Academic Performance Among Saudi University Students: A Cross-Sectional Study.

BACKGROUND: University students encounter a variety of sleep problems that have an impact on their health and academic performance. Therefore, the aim of this study was to evaluate the prevalence of sleep disorders and their impact on academic performance among Saudi university students. METHODS: This is an online cross-sectional study that involved university students and was conducted between November 2022 and February 2023 in Saudi Arabia. Sleep disorders were examined among undergraduate students through online screening surveys including the Epworth Sleepiness Scale (ESS) to assess excessive daytime sleepiness, the Insomnia Severity Index (ISI) to measure insomnia, and the Berlin questionnaire to examine obstructive sleep apnea (OSA). Restless leg syndrome (RLS) was measured using the RLS rating. SPSS version 29.0 (IBM Corp., Armonk, NY, USA) was used for all statistical analyses. Binary logistic regression analysis was used to identify predictors of having excessive daytime sleepiness, insomnia, sleep-disordered breathing, and RLS. RESULTS: The sample included 449 participants. According to the ESS, 56.6% (n=254) of students reported excessive daytime sleepiness. Using the ISI, 78.4% (n=352) of students were found to have insomnia. The Berlin questionnaire indicated that 6.7% (n=30) of students had sleep-disordered breathing. Additionally, 13.6% (n=61) of students reported having RLS. Male students had higher odds of sleep-disordered breathing compared to females (p<0.01), while marital status showed that married students had higher odds of sleep-disordered breathing (p<0.05). Students who reported nighttime sleeping had lower odds of insomnia and restless leg syndrome (p<0.05). Having regular sleeping times was associated with higher odds of insomnia (p<0.05). Napping sometimes was associated with higher odds of excessive daytime sleepiness and sleep-disordered breathing (p<0.05). Students working day and night shifts had higher odds of sleep-disordered breathing (p<0.01). Interestingly, students with comorbidities had lower odds of RLS (p<0.01). CONCLUSION: This study established that sleep disturbances among students significantly reduce grade point averages (GPAs), where the most affected were male students and those who were married. The government should implement sleep education programs, provide resources for the management of sleep, encourage consistent sleep schedules, and come up with targeted interventions for at-risk groups. More research is also recommended on effective sleep interventions.

Interaction effects between sleep-related disorders and depression on hypertension among adults: a cross-sectional study.

BACKGROUND: Hypertension, sleep disorders, and depression represent notable public health issues, and their interconnected nature has long been acknowledged. The objective of this study is to explore the interplay between sleep disorders and depression in the context of hypertension. METHODS: This cross-sectional study involved 42,143 participants aged 18 and above from the NHANES database across seven survey cycles between 2005 and 2018. After excluding those with missing data on depression, sleep disorders, and hypertension, as well as incomplete main variables, 33,383 participants remained. We used weighted logistic regression to examine the relationship between sleep disorders, depression, and hypertension. Additionally, we assessed the interaction between sleep disorders and depression on hypertension using both multiplicative and additive approaches to quantify their combined effect. RESULTS: Compared to individuals without sleep disorders, those with sleep disorders have an increased risk of hypertension (OR = 1.51, 95% CI: 1.37-1.67). Furthermore, individuals with depression experience a significantly higher risk of hypertension compared to those with sleep disorders alone (OR = 2.34, 95% CI: 1.95-2.80). Our study reveals a positive interaction between sleep disorders and depression in relation to hypertension risk (OR = 1.07, 95% CI: 1.02-1.13). In addition, we observed the quantitative additive interaction indicators (RERI = 0.73, 95% CI: 0.56 ~ 0.92; API = 0.31, 95% CI: 0.11 ~ 0.46; SI = 2.19, 95% CI: 1.08-3.46) influencing hypertension risk. Furthermore, our research also identified that individuals with less than 7 h of sleep, a sleep latency period between 5 and 30 min, or a latency period exceeding 30 min experience a significantly increased risk of hypertension. CONCLUSIONS: Our research uncovered separate links between sleep disorders, depression, and hypertension prevalence. Moreover, we identified an interaction between depression and sleep disorders in hypertension prevalence. Enhancing mental well-being and tackling sleep disorders could help prevent and manage hypertension. Yet, more investigation is required to establish causation and clarify mechanisms.

Association between sarcopenia and sleep disorders: a cross-sectional population based study.

Objective: Sleep disorders is a worldwide public health problem. We sought to examine the association between sarcopenia, a decline in skeletal muscle mass and function, and sleep disorders within the adult demographic of the United States during the period spanning 2011 to 2018. Methods: Diagnosis of sarcopenia and sleep disorders was ascertained through appropriate calculations and a structured questionnaire. The primary correlation analysis was conducted using a weighted multivariate logistic regression model. Furthermore, to confirm the presence of a potential non-linear association between sarcopenia and sleep disorders, additional analyses were performed using multivariate logistic regression and restricted cubic spline (RCS) regression with dose-response curve analysis. Subgroup analyses were also conducted to explore the influence of relevant socio-demographic factors and other covariates. Results: The final analysis encompassed 5,616 participants. Model 4, inclusive of all pertinent covariates, revealed a positive correlation between sarcopenia and sleep disorders, yielding an odds ratio (OR) of 1.732 (95% CI: 1.182-2.547; P = 0.002). Further analysis, utilizing the restricted cubic spline model, indicated a decreasing trend in sleep disorders as sarcopenia indices rose. Stratified analyses across diverse variables underscored the significant impact of sarcopenia on sleep disorders prevalence in several subgroups. Specifically, males, individuals aged 40 and above, non-Hispanic whites, those with high school education or equivalent, unmarried individuals, obese individuals (BMI ≥ 30), alcohol drinkers, former smokers, diabetics, and those engaging in less rigorous recreational activities exhibited a more pronounced association between sarcopenia and sleep disorders. The incidence of sleep disorders exhibited an upward trend as the incidence of sarcopenia declined among study participants. Conclusions: In summary, our study provides evidence of an association between sarcopenia and the prevalence of sleep disorders, with a negative correlation observed between the sarcopenia index and the odds ratio of sleep disorders. These findings suggest that maintaining optimal muscle mass may have a beneficial impact on sleep-related issues. In terms of exploring the mechanisms underlying the relationship between sarcopenia and sleep disorders, more in-depth research is warranted to ascertain the definitive causal relationship.

[Bayesian network prediction study on the impact of occupational health psychological factors on insomnia among thermal power generation workers].

Objective: To explore the risk factors of insomnia among employees in the thermal power generation industry and the network relationships between their interactions, and to provide scientific basis for personalized interventions for high-risk groups with insomnia. Methods: In November 2022, 860 employees of a typical thermal power generation enterprise were selected as the research subjects by cluster sampling. On-site occupational health field surveys and questionnaire surveys were used to collect basic information, occupational characteristics, anxiety, depression, stress, occupational stress, and insomnia. The interaction between insomnia and occupational health psychological factors was evaluated by using structural equation model analysis and Bayesian network construction. Results: The detection rates of anxiety, depression and stress were 34.0% (292/860), 32.1% (276/860) and 18.0% (155/860), respectively. The total score of occupational stress was (445.3±49.9) points, and 160 workers (18.6%) were suspected of insomnia, and 578 workers (67.2%) had insomnia. Structural equation model analysis showed that occupational stress had a significant effect on the occurrence of insomnia in thermal power generation workers (standardized load coefficient was 0.644), and occupational health psychology had a low effect on insomnia (standardized load coefficient was 0.065). However, the Bayesian network model further analysis found that anxiety and stress were the two parent nodes of insomnia, with direct causal relationships, the arc strength was-8.607 and -15.665, respectively. The model prediction results showed that the probability of insomnia occurring was predicted to be 0 in the cases of no stress and anxiety, low stress without anxiety, and no stress with low anxiety. When high stress with low anxiety and low stress with high anxiety occurred, the predicted probability of insomnia occurring were 0.38 and 0.47, respectively. When both high stress and high anxiety occurred simultaneously, the predicted probability of insomnia occurring was 0.51. Conclusion: Bayesian network risk assessment can intuitively reveal and predict the insomnia risk of thermal power generation workers and the network interaction relationship between the risks. Anxiety and stress are the direct causal risks of insomnia, and stress is the main risk of individual insomnia of thermal power generation workers. The occurrence of insomnia can be reduced based on scientific intervention of stress conditions.

Exercise therapy in the application of sleep disorders.

Sleep disorders often accompany neurological injuries, significantly impacting patient recovery and quality of life.The efficacy and adherence of traditional treatment methods have certain limitations. Exercise has been found to be a highly beneficial treatment method, capable of preventing and alleviating neurological injuries and sleep disorders. This article reviews relevant research findings from both domestic and international sources over the past few decades, systematically summarizing and analyzing the application of exercise therapy in sleep disorders,strategy of exercise intervention program and the potential molecular mechanisms by which exercise therapy improves sleep disorders. Shortcomings in current research and suggestions are presented, providing a reference for future in-depth studies on exercise interventions for sleep disorders.

A scoping review of the evidence on pharmacological and non-pharmacological interventions for idiopathic hypersomnia.

STUDY OBJECTIVES: Idiopathic hypersomnia (IH) is characterized by excessive sleepiness during the day, prolonged sleep at night, and difficulty waking up. The true prevalence of IH is uncertain. ICSD provides criteria for diagnosing IH; however, the definition has evolved. Managing IH involves using pharmacologic and non-pharmacologic approaches, although the most effective strategies are still unclear. The objective of this scoping review was to identify the extent, range, and nature of the available evidence, identify research gaps, and discuss the implications for clinical practice and policy. METHODS: To conduct this review, a comprehensive search was conducted across scientific databases, without any restrictions on the date or study type. Eligible studies examined the effectiveness of pharmacologic and non-pharmacologic treatments for IH and reported the outcomes of these interventions. Data from the studies were screened, analyzed, and synthesized to provide an overview of the available literature landscape. RESULTS: 51 studies were included in this review, which used various methods and interventions. Pharmacological treatments, particularly modafinil, have been frequently studied and have yielded positive results. There is also emerging evidence for alternative medications such as low-sodium oxybate and pitolisant. Non-pharmacological approaches, such as CBT-H and tDCS have also shown promise in managing IH. CONCLUSIONS: This review highlights the complexity of managing IH management and emphasizes the need for personalized multidisciplinary approaches. Pharmacological interventions are important in managing IH and can be complemented by non-medication strategies. Larger-scale studies are necessary to advance our understanding of IH and to improve treatment outcomes.

Shift work effects on incident neuropsychiatric disorders and shift work tolerance.

BACKGROUND: Shift work is associated with susceptibility to several neuropsychiatric disorders. This study aims to investigate the effect of shift work on the incidence of neuropsychiatric disorders, and highlighting how individual variability may influence the association. METHODS: UK Biobank participants with employment information were included. Cox survival was conducted in main and subgroup analyses. Correlation analyses explored the impact of shift work on brain structures, and mediation analyses were performed to elucidate the shared underlying mechanisms. Shift work tolerance was evaluated through survival analyses contrasting the risks associated with five neuropsychiatric disorders in shift versus non-shift workers across different demographic or occupational strata. RESULTS: The analysis encompassed 254,646 participants. Shift work was associated with higher risk of dementia (HR 1.29, 95 % CI 1.10-1.52), anxiety (1.08, 1.01-1.15), depression (1.29, 1.22-1.36), and sleep disorders (1.18, 1.09-1.28), but not stroke (p = 0.20). Shift work was correlated with decreasing volume of various brain regions, particularly in thalamus, lateral orbitofrontal, and middle temporal. Mediation analysis revealed that increased immune response and glucose levels are common pathways linking shift work to these disorders. We observed diversity in shift work tolerance across different individual characteristics, among which socioeconomic status and length of working hours were the most essential. LIMITATIONS: Self-reported employment information may cause misclassification and recall bias. And since we focused on the middle-aged population, the conclusions may not be representative of younger or older populations. CONCLUSIONS: Our findings indicated the need to monitor shift worker health and provide personalized management to help adapt to shift work.

The role of nutraceuticals in the management of temporomandibular disorders.

OBJECTIVES: Temporomandibular disorders (TMDs) are usually treated with occlusal appliances and supportive treatments such as physical therapy and drugs. Supplements can be included among potential supportive therapies, with the aim of reducing the use of drugs. To evaluate the efficacy of nutraceuticals' short-term treatment in subjects with temporomandibular disorders. METHODS: The study started in January 2021 and ended in January 2022. Subjects with temporomandibular disorders and a verbal numeric scale >40 were recruited and randomly assigned to one of the following groups. If waiting to start a therapy, to the nutraceutical group or to the no treatment group, while if already undergoing splint therapy, to nutraceautical+splint group or to splint therapy group. Nutraceutical used was composed by Boswellia Serrata Casperome, Magnesium, Tryptophan and vitamins B2 and D with a posology of one tablet/day before sleep for 40 days. Presence of temporomandibular pain, headache, neck pain and sleep/emotional disorders were assessed at T0 and at T1, after 40 days. ANOVA was performed to compare treatments with nutraceuticals and their respective controls, as for the variables related to painful symptomatology. Chi- Squared was conducted to assess differences in sleep/emotional disorders between groups. The statistical significance was p<0.05. RESULTS: The groups using nutraceuticals showed statistically significant improvements over controls for most of the variables analyzed. CONCLUSIONS: The use of nutraceutical seems to be a valuable support for TMD therapy in the short term either alone or combined with occlusal splint therapy.

Effects of serum inflammatory factors, health index and disease activity scores on ankylosing spondylitis patients with sleep disorder.

BACKGROUND: Patients with ankylosing spondylitis (AS) frequently suffer from comorbid sleep disorders, exacerbating the burden of the disease and affecting their quality of life. AIM: To investigate the clinical significance of serum inflammatory factors, health index and disease activity scores in patients with AS complicated by sleep disorders. METHODS: A total of 106 AS patients with comorbid sleep disorders were included in the study. The patients were grouped into the desirable and undesirable prognosis groups in accordance with their clinical outcomes. The serum levels of inflammatory factors, including C-reactive protein, erythrocyte sedimentation rate, interleukin (IL)-6, tumour necrosis factor-α and IL-1ß, were measured. Disease activity scores, such as the Bath AS functional index, Bath AS disease activity index, Bath AS metrology index and AS disease activity score, were assessed. The health index was obtained through the Short Form-36 questionnaire. RESULTS: The study found significant associations amongst serum inflammatory factors, health index and disease activity scores in AS patients with comorbid sleep disorders. Positive correlations were found between serum inflammatory factors and disease activity scores, indicating the influence of heightened systemic inflammation on disease severity and functional impairment. Conversely, negative correlations were found between disease activity scores and health index parameters, highlighting the effect of disease activity on various aspects of health-related quality of life. Logistic regression analysis further confirmed the predictive value of these factors on patient outcomes, underscoring their potential utility in risk assessment and prognostication. CONCLUSION: The findings demonstrate the intricate interplay amongst disease activity, systemic inflammation and patient-reported health outcomes in AS patients complicated by sleep disorders. The results emphasise the need for comprehensive care strategies that address the diverse needs and challenges faced by these patients and underscore the potential relevance of serum inflammatory factors, health index and disease activity scores as prognostic markers in this patient population.

Sleep disturbances and associated factors in patients with Parkinson's disease.

AIMS: This study aimed to describe clinical characteristics and sleep quality of Parkinson's Diseases (PD) patients and identify associated factors with sleep quality. METHODS: A cross-sectional study was conducted at the National Geriatric Hospital, Hanoi, Vietnam, from December 2022 to April 2023. A total of 130 Parkinson's disease patients undergoing treatment at the hospital were invited. Demographic and clinical characteristics were obtained. The diagnosis of sleep disorders was based on the standards outlined in the DSM-V. A multivariate logistic regression model was employed. RESULTS: 90.9 % experienced sleep disorder, with the significant types including insomnia (76.2 %) and restless legs syndrome (56.2 %). The majority of patients suffered two (33.1 %) and one kind of sleep disorder (32.3 %). Most patients experienced sleep disorders after diagnosis of PD (80.0 %). Only having shoulder and neck pain was positively associated with a likelihood of having sleep disturbances (OR=4.87, 95 %CI=1.18-20.15). CONCLUSION: This study found a high rate of sleep disorders among PD patients in our sample. Shoulder and neck pain was found to be associated with a risk of sleep disorders. Pain management should be performed to improve the sleep quality of PD patients.

Sleep Quality and its Daytime Effects among University Students in the UAE.

Objectives: To determine the irregularity in the sleep schedule among university students in the UAE and determine its correlation with poor sleep quality, daytime sleepiness, and fatigue. Methods: This observational cross-sectional survey was electronically conducted among undergraduate students of Ajman University during the academic year 2022-2023. The participants were selected using a simple random sampling method. The instruments for data collection comprised of sleep schedule questionnaire, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Fatigue Severity Scale. Data was subjected to chi-square analysis, Mann-Whitney U test, Wilcoxon rank-sum test, and Spearman's correlation. Results: Of the 537 participants, 353 (65.7%) were female. The majority (57.2%) kept highly irregular bedtimes. The cohort's mean global PSQI score was 8.9±3.0 indicating poor sleep quality. There was a positive correlation between the irregular bedtime frequency and the global PSQI score (r = 0.311; p < 0.010). Most (70.8%) participants had a total high Fatigue Severity Scale score of ≥ 36. The scores of women (41.0±10.5) were significantly higher than those of men (38.5±11.0) (p =0.006). Around 53.0% of the participants had high ESS scores indicating excessive daytime sleepiness. There was also a significant correlation between ESS score and irregular bedtime frequency (r = 0.113; p =0.009). Conclusions: The students at Ajman University had a high prevalence of irregular bedtime and inadequate sleeping hours. This was affecting their sleep quality and causing excessive daytime sleepiness. The students, especially women, were suffering from fatigue, potentially affecting their normal functionality. It is crucial to encourage students to establish regular sleep patterns and improve sleep habits to promote their productivity and general well-being.

Psychosocial characteristics of the general population who habitually use hypnotics: Results from a national survey on drug use among the Japanese.

Aim: The aim of this study was to examine the characteristics of habitual hypnotic users in Japan. Methods: This nationwide, cross-sectional survey used self-administered questionnaires. Data were collected from four national surveys conducted every 2 years between 2015 and 2021. The participants were Japanese individuals who had taken prescription hypnotics in the past year or had never taken them. We divided 13,396 participants into three groups to compare the social background and status of taking medication and controlled drugs, drinking, and smoking among the three groups: people who use hypnotics habitually daily (habitual hypnotic users [HUs]), people who use them only occasionally (occasional hypnotic users [OUs]), and people who do not use them (hypnotic non-users [NUs]). We compared the perception of using hypnotics between the HU and OU groups. Results: HUs were more likely to be older, unemployed, and to habitually use anxiolytics and analgesics than NUs. The main reasons for taking anxiolytics in HUs were alleviating insomnia and reducing anxiety, whereas the main reason for taking analgesics was improving joint pain. Additionally, the HU group had a higher proportion of habitual smokers than the OU group. There was no difference in drinking status or taking of controlled drugs among the three groups. HUs were more likely to use hypnotics and to have concerns about their side-effects than OUs. Conclusion: HUs were more likely to be unemployed, habitually use anxiolytics and analgesics, smoke heavily, and take hypnotic drugs with concerns regarding side-effects. These results may help encourage the appropriate use of hypnotics.

Cerebrospinal Fluid Nitric Oxide Synthase is a Potential Mediator Between Cigarette Smoke Exposure and Sleep Disorders.

Objective: Cigarette smoking and low peripheral nitric oxide synthase (NOS) levels are strongly associated with sleep disorders. However, whether cerebrospinal fluid (CSF) NOS relates to sleep disorders and whether CSF NOS mediates the relationship between cigarette smoking and sleep disorders is unclear. Methods: We measured CSF levels of total NOS (tNOS) and its isoforms (inducible NOS [iNOS] and constitutive NOS [cNOS]) in 191 Chinese male subjects. We applied the Pittsburgh Sleep Quality Index (PSQI). Results: The PSQI scores of active smokers were significantly higher than those of non-smokers, while CSF tNOS, iNOS, and cNOS were significantly lower (all p < 0.001). CSF tNOS, iNOS, and cNOS were negatively associated with PSQI scores in the general population (all p < 0.001). Mediation analysis suggested that CSF tNOS, iNOS, and cNOS mediate the relationship between smoking and PSQI scores, and the indirect effect accounted for 78.93%, 66.29%, and 81.65% of the total effect, respectively. Conclusion: Cigarette smoking is associated with sleep disorders. Active smokers had significantly lower CSF levels of tNOS, iNOS, and cNOS. Furthermore, tNOS, iNOS, and cNOS mediate the relationship between cigarette smoking and sleep quality. This study provides insights into how cigarette smoke affects sleep disorders.

Sleep quality in eating disorders: A systematic review and meta-analysis.

Eating disorders (ED) are psychological disorders characterized by dangerous eating behaviours, including protracted fasting and binge eating. Mental disorders comorbidities (e.g., anxiety and depression), as well as sleep difficulties, are common and might interfere with treatment response. This work investigated sleep quality, circadian preferences, and sleep disorders in ED patients compared to healthy controls (HC) and the impact of ED treatment on patients' sleep. A literature search on Pubmed, Web of Science, Medline, and PsychInfo included 27 studies. Random effect analyses were performed (sample eating disorders = 711; sample healthy controls = 653) and subgroup analyses were calculated based on the ED subgroups: Anorexia Nervosa, Bulimia Nervosa, Binge Eating Disorder. Whole sample analyses showed poorer physiological and subjective sleep quality in patients. Subgroup analyses showed that poorer physiological sleep was present only in anorexia nervosa. Two studies reporting circadian preferences and sleep disorders showed higher evening preference in patients and no differences in apnea prevalence between patients and healthy controls, respectively. Some studies suggested that specialized eating disorder treatments (e.g., Cognitive Behavioural Therapy for ED) can improve sleep quality in patients. Although these findings highlight poorer sleep in patients with ED compared to healthy controls, the mechanisms underlying sleep alterations in eating disorders remain to be identified.

112 What's your emergency? Overview of mental health and sleep disorders among emergency medical dispatchers in a French 112 call center.

BACKGROUND: Emergency medical dispatchers (EMD) experience significant occupational stress. Medical dispatching includes call-taking, triage, dispatch, and providing callers gesture guidance to the victims. Every decision has a major impact on the patient's outcome. Chronic exposure to stress and potentially traumatic situations, combined with night shifts can impact the stress response and physical health of staff. OBJECTIVES: To evaluate the prevalence of mental health and sleep disorders among EMD personnel working in a 112-call center, prior to an evidence-based prevention intervention (primary outcome); and to assess the relationship between health outcomes and DM (secondary outcome). METHODS: We conducted a descriptive, monocentric study with 109 EMD. HAD Anxiety (HAD-A) and Depression (HAD-D) scores, and the PTSD checklist for DSM-5 (PCL-5) were used to explore mental health disorders. The Epworth Sleepiness Scale, and other analog scales were used to explore sleep disorders. DM resources were assessed using the Freiburg Mindfulness Inventory (FMI), and its Presence and Acceptance subscales. RESULTS: A total of 72% of the EMD working in the call center were included. Of these, 16.6% had moderate anxiety disorder, and 6.4% had an anxiety disorder (Mean HAD-A: 6.05 ± 2.88). Furthermore, 16.6% had a moderate depression disorder, and 6.4% had a depression disorder (Mean HAD-D: 4.28 ± 3.28), and 16% had symptoms of PTSD (Mean PCL-5: 17.57 ± 13.67). Turning to sleep, 39% may suffer from excessive daytime sleepiness (EDS), and 10% had confirmed EDS (Mean Epworth score 10.47 ± 4.41). Finally, 39% had moderate insomnia, and 59% had severe insomnia (Mean insomnia: 13.84 ± 5.77.). Medium-strength negative correlations were found between mental health and DM (FMI scores and sub-scores: -0.48 < r < - 0.29; 0.001 < p < 0.004); and a positive correlation was found between DM and daytime awareness (0.22 < r < 0.26; 0.01 < p < 0.03). CONCLUSION: The prevalence of depression, symptoms of PTSD, and sleep disorders in our sample of EMD is significant, and confirms findings reported in the literature. The EMD population may benefit from specific, multi-level interventions that target mindfulness, sleep, and ergonomics to improve their mental and physical health.

Digital biomarkers: 3PM approach revolutionizing chronic disease management - EPMA 2024 position.

Non-communicable chronic diseases (NCDs) have become a major global health concern. They constitute the leading cause of disabilities, increased morbidity, mortality, and socio-economic disasters worldwide. Medical condition-specific digital biomarker (DB) panels have emerged as valuable tools to manage NCDs. DBs refer to the measurable and quantifiable physiological, behavioral, and environmental parameters collected for an individual through innovative digital health technologies, including wearables, smart devices, and medical sensors. By leveraging digital technologies, healthcare providers can gather real-time data and insights, enabling them to deliver more proactive and tailored interventions to individuals at risk and patients diagnosed with NCDs. Continuous monitoring of relevant health parameters through wearable devices or smartphone applications allows patients and clinicians to track the progression of NCDs in real time. With the introduction of digital biomarker monitoring (DBM), a new quality of primary and secondary healthcare is being offered with promising opportunities for health risk assessment and protection against health-to-disease transitions in vulnerable sub-populations. DBM enables healthcare providers to take the most cost-effective targeted preventive measures, to detect disease developments early, and to introduce personalized interventions. Consequently, they benefit the quality of life (QoL) of affected individuals, healthcare economy, and society at large. DBM is instrumental for the paradigm shift from reactive medical services to 3PM approach promoted by the European Association for Predictive, Preventive, and Personalized Medicine (EPMA) involving 3PM experts from 55 countries worldwide. This position manuscript consolidates multi-professional expertise in the area, demonstrating clinically relevant examples and providing the roadmap for implementing 3PM concepts facilitated through DBs.

Stated patient preferences for overnight at-home diagnostic assessment of sleep disorders.

PURPOSE: The diagnostic workup for assessment of sleep disorders commonly involves overnight testing to assess sleep patterns and pathological events. So far, little is known about preferences for provision of home sleep tests to patients with sleep disorders. This study aims to close this gap by eliciting preferences for home sleep testing using a discrete choice experiment (DCE). METHODS: A DCE with seven attributes of at-home sleep testing and three levels per attribute was developed using a fractional factorial design. Patients with and without previous sleep testing experience were recruited from two large sleep centers in Germany. Coefficients for attribute levels were calculated using a conditional logit model to estimate their influence on choice decisions and calculate the relative importance of each attribute. RESULTS: 305 patients (54.5 ± 13,1 years, 65.3% male) were enrolled, and 288 surveys with complete data included for analysis. Attributes with greatest relevance were Waiting time to discuss sleep study results; Waiting time to conduct sleep study, and Sleep quality during measurement. Of lowest importance was Diagnostic accuracy of sleep study, followed by Effort to apply sleep study device. Significant heterogeneity in choice behavior was found, including differences by gender, willingness-to-pay for sleep studies, and previous experience with sleep studies. Preferred location for conducting sleep testing was at-home in 50.7% and in-lab in 46.9%. CONCLUSIONS: Preferences and relative importance of home sleep test attributes vary among different subgroups. Considering those preferences can be important for clinicians and policymakers when designing care pathways and planning of testing policies for sleep disorders.

The Evolving Field of Dental Sleep Medicine.

Dental sleep medicine is a dynamic field focused on the relationship between oral health and sleep disorders, particularly sleep apnea. Dentists play a crucial role in diagnosing and treating sleep-related breathing issues. As awareness of the impact of sleep on overall health grows, the field is evolving rapidly with advancements in technology, diagnostic tools, and treatment modalities. Interdisciplinary collaboration between dentists, sleep physicians, and other health care professionals is becoming increasingly important. The integration of innovative approaches and a patient-centric focus make dental sleep medicine a pivotal player in addressing the complex interplay between oral health and sleep quality.

The prevalence of anxiety in respiratory and sleep diseases: A systematic review and meta-analysis.

BACKGROUND: Anxiety is common in those with chronic physical health conditions and can have significant impacts on both quality of life and physical health outcomes. Despite this, there are limited studies comprehensively investigating the prevalence of anxiety in respiratory and sleep medicine settings. This systematic review and meta-analysis aims to provide insight into the global prevalence of anxiety symptoms/disorders in respiratory and sleep medicine outpatients. METHODS: PubMed, Embase, Cochrane, PsycINFO and Google Scholar databases were searched from database inception to January 23, 2023 for studies assessing the prevalence of anxiety in adult (≥16 years) respiratory and sleep medicine outpatients. Data was screened and extracted independently by two investigators. Anxiety was measured using various self-report questionnaires, structured interviews, and/or patient records. Using CMA software for the meta-analysis, a random-effects model was used for pooled estimates, and subgroup analysis was conducted on relevant models using a mixed-effects model. RESULTS: 116 studies were included, featuring 36,340 participants across 40 countries. The pooled prevalence of anxiety was 30.3 % (95%CI 27.9-32.9 %, 10,679/36,340). Subgroup analysis found a significant difference across type of condition, with pulmonary tuberculosis the highest at 43.1 % and COVID-19 outpatients the lowest at 23.4 %. No significant difference was found across anxiety types, country or age. Female sex and the use of self-report measures was associated with significantly higher anxiety estimates. CONCLUSIONS: Anxiety is a common experience amongst patients in respiratory and sleep medicine outpatient settings. Thus, it is crucial that anxiety identification and management is considered by physicians in the field. REGISTRATION: The protocol is registered in PROSPERO (CRD42021282416).