The PAP-RES algorithm: Defining who, why and how to use positive airway pressure therapy for OSA.

Obstructive sleep apnea (OSA) is a common condition that is increasing in prevalence worldwide. Untreated OSA has a negative impact on health-related quality of life and is an independent risk factor for cardiovascular diseases. Despite available data suggesting that cardiovascular risk might differ according to clinical phenotypes and comorbidities, current approaches to OSA treatment usually take a "one size fits all" approach. Identification of cardiovascular vulnerability biomarkers and clinical phenotypes associated with response to positive airway pressure (PAP) therapy could help to redefine the standard treatment paradigm. The new PAP-RES (PAP-RESponsive) algorithm is based on the identification of OSA phenotypes that are likely to impact therapeutic goals and modalities. The paradigm shift is to propose a simplified approach that defines therapeutic goals based on OSA phenotype: from a predominantly "symptomatic phenotype" (individuals with high symptom burden that negatively impacts on daily life and/or accident risk or clinically significant insomnia) to a "vulnerable cardiovascular phenotype" (individuals with comorbidities [serious cardiovascular or respiratory disease or obesity] that have a negative impact on cardiovascular prognosis or a biomarker of hypoxic burden and/or autonomic nervous system dysfunction). Each phenotype requires a different PAP therapy care pathway based on differing health issues and treatment objectives.

[Pathophysiological hypothesis and diagnosis of insomnia disorder]. / Hypothèses physiopathologiques et diagnostic du trouble insomnie.

PATHOPHYSIOLOGICAL HYPOTHESES AND DIAGNOSIS OF INSOMNIA DISORDER. All pathophysiological models place hyperarousal as a central process in the mechanisms of insomnia. These models differ, however, in terms of the importance and role of the variables explaining this hyperarousal. Behavioral and cognitive models describe self-maintenance behaviors and dysfunctional thoughts, such as worries and concerns about sleep and the consequences of insomnia. Alterations in cognitive functions related to hyperarousal in perceptual and memory processes can explain these behaviors and thoughts. Neurobiological models show instability in the sleepwake balance, with orexin possibly involved, but this remains to be confirmed. The diagnosis of insomnia must consider the semiology related to the mechanisms of insomnia, as well as co-morbidities.

HYPOTHÈSES PHYSIOPATHOLOGIQUES ET DIAGNOSTIC DU TROUBLE INSOMNIE. L'ensemble des modèles physiopathologiques place l'hyperéveil comme processus central dans les mécanismes de l'insomnie. Les modèles se différencient cependant au regard de l'importance et du rôle des variables expliquant cet hyperéveil. Les modèles comportementaux et cognitifs décrivent les comportements d'autoentretien et les pensées dysfonctionnelles, de types soucis et inquiétudes concernant le sommeil et les conséquences de l'insomnie. Des altérations des processus cognitifs en lien avec l'hyperéveil dans les domaines perceptuels et mnésiques peuvent expliquer ces comportements et pensées. Les modèles neurobiologiques retrouvent une instabilité de la balance éveil/sommeil avec une possible implication de l'orexine, qui reste à confirmer. Le diagnostic de l'insomnie doit tenir compte de la sémiologie en lien avec ses mécanismes, tout en tenant compte des comorbidités.

Eco-anxiety: An adaptive behavior or a mental disorder? Results of a psychometric study.

OBJECTIVE: Eco-anxiety is a complex construct that has been created to grasp the psychological impact of the consequences of global warming. The concept needs a reliably valid questionnaire to better evaluate its impact on the risk of anxiety and depressive disorders. The Eco-Anxiety Questionnaire (EAQ-22) evaluates two dimensions: 'habitual ecological anxiety' and 'distress related to eco-anxiety'. However, a version in French, one of the world's widely spoken languages, was until now lacking. We aimed to translate and validate the French EAQ-22 and to evaluate the prevalence of the level of the two dimensions of eco-anxiety and the relationship with anxiety and depressive symptoms in a representative adult sample of the French general population. METHODS: This study was performed under the auspices of the Institut national du sommeil et de la vigilance (INSV). Participants (18-65 years) were recruited by an institute specialized in conducting online surveys of representative population samples (quota sampling). Two native French speakers and two native English speakers performed a forward-backward translation of the questionnaire. The Hospital Anxiety and Depression scale (HAD) was administered to assess anxiety (HAD-A) and depressive (HAD-D) symptoms and for external validity. Internal structural validity and external validity were analysed. RESULTS: Evaluation was performed on 1004 participants: mean age 43.47 years (SD=13.41, range: [19-66]); 54.1% (n=543) women. Using the HAD, 312 (31.1%) patients had current clinically significant anxiety symptoms (HAD-A>10) and 150 (14.9%) had current clinically significant depressive symptoms (HAD-D>10). Cronbach's alpha coefficient was 0.934, indicating very good internal consistency. Correlation between EAQ-22 and HAD scores was low (r[1004]=0.209, P<0.001), 'habitual ecological anxiety' was correlated less with HAD-A and HAD-D than 'distress related to eco-anxiety', indicating good external validity. CONCLUSION: This study validates the French EAQ-22 and paves the way for using the EAQ-22 as a global tool for assessing eco-anxiety. Further prospective studies are now required to better evaluate the impact of eco-anxiety on the occurrence of anxiety and depressive disorder.

Resective epilepsy surgery and its impact on depression in adults: a systematic review, meta-analysis, and implications for future research.

BACKGROUND: How epilepsy surgery influences the bidirectional relationship of epilepsy and depression remains poorly defined. METHOD: For a better understanding of this question, we conducted a systematic review and meta-analysis of risk ratio on depression prevalence before and after epilepsy surgery, using Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Three databases were comprehensively screened for all studies assessing depression before and after resective surgery in adult epileptic patients until 8 October 2022. Studies were included if depression was assessed before and after epilepsy surgery regardless of the time of follow-up. A total of 1917 studies were screened for eligibility and 91 full-texts up for inclusion; 35 studies were finally included, 25 studies and 2563 patients were included in main meta-analysis and 10 for exploratory analysis. Risk of bias was assessed using Risk Of Bias In Non-randomised Studies - of Interventions (ROBINS-I) from Cochrane. To derive the pooled depression rates before and after surgery, a meta-analysis with inversed-variance was performed using random-effects logistic models with Peto's correction and a 95% CI. Heterogeneity was assessed with Cochran's Q-test along with its derived measure of inconsistency I2. RESULTS: Overall, the depression rates before and after resective epilepsy surgery were 0.70 (0.53 to 0.91) 95% CI, suggesting that the rate of depression at last follow-up evaluation tends to decrease after Resective Epilepsy Surgery (RES). Subgroup analysis suggest a positive long-term effect appears with a significant lower rates of depression already 6 months (0.61 (0.38 to 0.98)), after surgery which is maintained over time after 1 year (0.53 (0.31 to 0.90)), and after 2 years (0.62 (0.42 to 0.92)). CONCLUSION: This important finding should be taken in consideration before resective surgery for drug-resistant epilepsies. However, prospective studies should be conducted to characterise which patient, at the individual level, might be at risk of de novo or worsening of depression. PROSPERO REGISTRATION NUMBER: CRD42022355386.

Symptom content analysis of OSA questionnaires: time to identify and improve relevance of diversity of OSA symptoms?

STUDY OBJECTIVES: Obstructive sleep apnea (OSA) is a heterogeneous condition covering many clinical phenotypes in terms of the diversity of symptoms. Patient-based OSA screening questionnaires used in routine practice contain significantly varying contents that can impact the reliability and validity of the screening. We investigated to what extent common patient-based OSA screening questionnaires differ or overlap in their item content by conducting a rigorous, methodical, and quantified content overlap analysis. METHODS: We conducted an item content analysis of 11 OSA screening questionnaires validated in adult populations and characterized their overlap using a four-step approach: i) selection of OSA screening questionnaires; ii) item extraction and selection; iii) extraction of symptoms from items; iv) assessment of content overlap with the Jaccard Index (from 0: no overlap to 1: full overlap). RESULTS: We extracted 72 items that provided 25 distinct symptoms from 11 selected OSA questionnaires. The overlap between them was weak (mean Jaccard Index 0.224, ranging from 0.138 to 0.329). All questionnaires contained symptoms of the "OSA symptom" dimension (e.g., snoring or witnessed apneas). The STOP-BANG (0.329) and the Berlin (0.280) questionnaires exhibited the highest overlap content. Ten symptoms (40%) were investigated in only one questionnaire. CONCLUSIONS: The heterogeneity of content and the low overlap across these questionnaires reflect the challenges of screening OSA. The different OSA questionnaires potentially capture varying aspects of the disorder, with the risk of biased results in studies. Suggestions are made for better OSA screening and refinement of clinical OSA phenotypes.

Sleepiness should be reinvestigated through the lens of clinical neurophysiology: A mixed expertal and big-data Natural Language Processing approach.

Historically, the field of sleep medicine has revolved around electrophysiological tools. However, the use of these tools as a neurophysiological method of investigation seems to be underrepresented today, from both international recommendations and sleep centers, in contrast to behavioral and psychometric tools. The aim of this article is to combine a data-driven approach and neurophysiological and sleep medicine expertise to confirm or refute the hypothesis that neurophysiology has declined in favor of behavioral or self-reported dimensions in sleep medicine for the investigation of sleepiness, despite the use of electrophysiological tools. Using Natural Language Processing methods, we analyzed the abstracts of the 18,370 articles indexed by PubMed containing the terms 'sleepiness' or 'sleepy' in the title, abstract, or keywords. For this purpose, we examined these abstracts using two methods: a lexical network, enabling the identification of concepts (neurophysiological or clinical) related to sleepiness in these articles and their interconnections; furthermore, we analyzed the temporal evolution of these concepts to extract historical trends. These results confirm the hypothesis that neurophysiology has declined in favor of behavioral or self-reported dimensions in sleep medicine for the investigation of sleepiness. In order to bring sleepiness measurements closer to brain functioning and to reintroduce neurophysiology into sleep medicine, we discuss two strategies: the first is reanalyzing electrophysiological signals collected during the standard sleep electrophysiological test; the second takes advantage of the current trend towards dimensional models of sleepiness to situate clinical neurophysiology at the heart of the redefinition of sleepiness.

Objective evaluation of excessive daytime sleepiness.

Excessive daytime sleepiness (EDS) is multifactorial. It combines, among other things, an excessive propensity to fall asleep ("physiological sleepiness") and a continuous non-imperative sleepiness (or drowsiness/hypo-arousal) leading to difficulties remaining awake and maintaining sustained attention and vigilance over the long term ("manifest sleepiness"). There is no stand-alone biological measure of EDS. EDS measures can either capture the severity of physiological sleepiness, which corresponds to the propensity to fall asleep, or the severity of manifest sleepiness, which corresponds to behavioral consequences of sleepiness and reduced vigilance. Neuropsychological tests (The psychomotor vigilance task (PVT), Oxford Sleep Resistance Test (OSLeR), Sustained Attention to Response Task (SART)) explore manifest sleepiness through several sustained attention tests but the lack of normative values and standardized protocols make the results difficult to interpret and use in clinical practice. Neurophysiological tests explore the two main aspects of EDS, i.e. the propensity to fall asleep (Multiple sleep latency test, MSLT) and the capacity to remain awake (Maintenance of wakefulness test, MWT). The MSLT and the MWT are widely used in clinical practice. The MSLT is recognized as the "gold standard" test for measuring the severity of the propensity to fall asleep and it is a diagnostic criterion for narcolepsy. The MWT measures the ability to stay awake. The MWT is not a diagnostic test as it is recommended only to evaluate the evolution of EDS and efficacy of EDS treatment. Even if some efforts to standardize the protocols for administration of these tests have been ongoing, MSLT and MWT have numerous limitations: age effect, floor or ceiling effects, binding protocol, no normal or cutoff value (or determined in small samples), and no or low test-retest values in some pathologies. Moreover, the recommended electrophysiological set-up and the determination of sleep onset using the 30­sec epochs scoring rule show some limitations. New, more precise neurophysiological techniques should aim to detect very brief periods of physiological sleepiness and, in the future, the brain local phenomenon of sleepiness likely to underpin drowsiness, which could be called "physiological drowsiness".

Major depressive disorder with hypersomnolence complaint: A comparison study with non-depressed individuals examining objective biomarkers.

BACKGROUND: Hypersomnolence is common in major depressive disorder (MDD), associated with more severe episodes, suicide and antidepressant resistance. Nevertheless, few studies used polysomnography (PSG) and multiple sleep latency test (MSLT) to characterize these patients. In this context, we compared patients visiting a sleep center for hypersomnolence complaint with MDD (HSC/MDD+) and without MDD (HSC/MDD-). METHODS: HSC/MDD+ and HSC/MDD- groups were defined according to DSM-5 criteria and CES-D scale, and had a 30 h-PSG with ad libitum-sleep and PSG followed by MLST. RESULTS: HSC/MDD+ had an increased self-declared total sleep time (sTST) of about 10 h30 similar to HSC/MDD- (630.8 ± 17.3 min-vs-616.5 ± 18.1 min, respectively, p = 0.39). Nevertheless, their objective TST (oTST) on ad libitum PSG was significantly longer and about 10 h50 (648.6 ± 23.9 min-vs-587.4 ± 19.0 min, respectively, p = 0.038). HSC/MDD+ also significantly better estimated their sleep duration, with a lower difference between their sTST and oTST compared to HSC/MDD- (10.0 ± 1.7 %-vs-17.4 ± 2.1 %, respectively, p = 0.009) and confirmed significantly more frequently the hypersomnia diagnosis -i.e. oTST>10H- (82.6 ± 8.1 %-vs-54.6 ± 10.9 %, respectively, p = 0.046). Using the Kupfer index (KI), we confirmed a reduced REM sleep latency in patients MDD/HSC+ (15.2 ± 10.0 %-vs-2.3 ± 2.3 %, respectively, p = 0.039). Both groups had comparable increased diurnal sleepiness assessed with the Epworth scale (14.1 ± 1.1-vs-14.8 ± 1.1, respectively, p = 0.65). HSC/MDD+ had less MSLT sleep latency <8 min (9.1 ± 5.1 %-vs-27.3 ± 6.8 %, respectively, p = 0.048). LIMITATIONS: Retrospective cross-sectional study. CONCLUSIONS: HSC/MDD+ accurately estimated their sleep duration, objectively confirmed hypersomnia and may specifically had a decreased Kupfer index.

Dental sleep medicine education among undergraduate dental students in France.

INTRODUCTION: Dental sleep medicine (DSM) is an emerging discipline that studies the oral and maxillofacial causes and consequences of sleep-related problems. DSM is of upmost importance given the major medical challenge it represents. Therefore, to verify whether the future generation of dentists would be ready to face this challenge, the main objective of this study was to assess the degree of involvement of the French dental schools in teaching DSM at the undergraduate level. MATERIALS AND METHODS: All 16 dental schools in France were asked to participate in the study by answering to an online survey concerning the DSM curriculum during the 2018-2019 academic year. The survey was addressed to the head of the dental school and/or to relevant course coordinators and contained 10 questions related to the type, content and amount of DSM teaching to undergraduate dental students. RESULTS: Nine of the 16 (56.2%) French dental schools responded to the questionnaire. All these nine reported the inclusion of DSM in their undergraduate curriculum. The total average hours dedicated to teaching DSM was 5.6 h (SD 4.2; range 1-15 h). Seven of the 9 dental schools spent most of their DSM curriculum teaching time in the fifth year. All of them reviewed obstructive sleep apnoea and sleep-related bruxism and covered some topics related to therapies for sleep-related breathing disorders, such as the use of oral appliance. CONCLUSION: The results of this survey showed that, although the average hourly volume is relatively high, the DSM teaching in French dental schools appeared to be non-standardised, heterogeneous and often lacunar. It is therefore essential to develop a common curriculum and implement it in all dental schools to provide undergraduate students a comprehensive and updated teaching in DSM.

The screening and management of sleep disturbances in people living with HIV: Delphi consensus.

Sleep disturbances in people living with HIV (PLHIV) are frequent but their management remains insufficient. In the absence of specific recommendations, a DELPHI consensus research project was conducted in France to establish best practice. A multidisciplinary Steering Committee (STC) undertook a literature review and used it with clinical expertise to create statements that were voted on. Two profiles of healthcare professionals with significant experience in monitoring PLHIV were selected for the voting: physicians and nurses/psychologists. Votes were collected electronically, independently, and anonymously. The STC created 27 statements covering six areas: Screening of sleep disturbances, Investigation, First-line management, Referral to a specialist, Antiretroviral treatment (ARV), and Prevention. Two rounds of votes included 42 physicians and 32 nurses/psychologists. Consensus was reached for 24 out of 27 statements (89%) including: to assess quantity and quality of sleep among PLHIV at least annually, ideally using a common methodology within the medical department; to consider the temporary addition of a hypnotic treatment in cases of acute insomnia not improved by the rules of sleep hygiene, with full awareness of potential drug-drug interactions and risk of dependence; to correct ferritinaemia if <100 ng/mL before referral to a specialist when restless legs syndrome is suspected; to consider changing the time of ARV administration or an ARV switch within the same class when sleep disturbances are caused by an ARV. This DELPHI Consensus provides best practice for screening and managing sleep disturbances in PLHIV and optimising their quality of life.

Content analysis of insomnia questionnaires: A step to better evaluate the complex and multifaceted construct of insomnia disorder.

Insomnia disorder is a mental disorder that includes various types of symptoms (e.g., insomnia initiating, worries, mood disturbances) and impairments (e.g., distress related to sleep alterations). Self-report questionnaires are the most common method for assessing insomnia but no systematic quantified analysis of their content and overlap has been carried out. We used content analysis and a visualization method to better identify the different types of clinical manifestations that are investigated by nine commonly used insomnia questionnaires for adults and the Jaccard index to quantify the degree to which they overlap. Content analysis found and visualized 16 different clinical manifestations classified into five dimensions ("Insomnia symptoms", "Insomnia-related symptoms", "Daytime symptoms", "Insomnia-related impairments", "Sleep behaviors"). The average Jaccard Index was 0.409 (moderate overlap in content). There is a lack of distinction between symptoms and impairments, and the assessment of sleep duration and hyperarousal symptoms remains overlooked. This preliminary analysis makes it possible to visualize the content of each of the nine questionnaires and to select the most appropriate questionnaire based on the issue to be addressed. Suggestions are made regarding the development of future questionnaires to better distinguish symptoms and impairments, and the different phenotypes of insomnia disorder.

The nightmare severity index (NSI): A short new multidimensional tool for assessing nightmares.

This psychometric pilot study aims to evaluate a new multidimensional simple scale, named the nightmare severity index (NSI) - close to the existing insomnia (ISI) and hypersomnia (HSI) severity indexes. The NSI encompasses all main dimensions of nightmare disorder, evaluating four subdimensions: frequency, emotional impact, diurnal impact, and nocturnal impact of nightmares. The NSI was completed by a total of 102 patients. The majority of the population consisted of women (64%) and outpatient individuals (76%) diagnosed with mood disorders such as depression (31%) and bipolar disorder (41%). Comorbidity with post-traumatic stress disorder (PTSD) was prevalent (44%), and psychotropic medications were commonly used (47%). Internal validity analyses indicated that the NSI was well suited for exploratory factor analysis. All items demonstrated satisfactory correlations with the factors, and the questionnaire exhibited good internal consistency (Cronbach's alpha >0.7). Higher NSI scores were observed among individuals experiencing nightmare symptoms considering the DSM-5/ICSD-3 criteria. In summary, the NSI proves to be a promising and valuable tool for clinical practice, demonstrating good acceptability, internal validity, and the ability to assess nightmare severity.

Predictors of users' adherence to a fully automated digital intervention to manage insomnia complaints.

OBJECTIVE: Fully automated digital interventions show promise for disseminating evidence-based strategies to manage insomnia complaints. However, an important concept often overlooked concerns the extent to which users adopt the recommendations provided in these programs into their daily lives. Our objectives were evaluating users' adherence to the behavioral recommendations provided by an app, and exploring whether users' perceptions of the app had an impact on their adherence behavior. MATERIAL AND METHODS: Case series study of individuals completing a fully automated insomnia management program, conducted by a virtual agent, during December 2020 to September 2022. Primary outcome was self-reported adherence to the behavioral recommendations provided. Perceptions of the app and of the virtual agent were measured with the Acceptability E-Scale and ECA-Trust Questionnaire. Insomnia was evaluated with the Insomnia Severity Index at baseline (phase 1), after 7 days of sleep monitoring (phase 2) and post-intervention (phase 3). RESULTS: A total of 824 users were included, 62.7% female, mean age 51.85 (±12.55) years. Of them, 32.7% reported having followed at least one recommendation. Users' trust in the virtual agent and acceptance of the app were related to a pre-intervention effect in insomnia severity (phase 2). In turn, larger pre-intervention improvements predicted better adherence. Mediational analyses showed that higher levels of trust in the virtual agent and better acceptance of the app exerted statistically significant positive effects on adherence (ß = 0.007, 95% CI, 0.001-0.017 and ß = 0.003, 95% CI 0.0004-0.008, respectively). DISCUSSION: Users' adherence is motivated by positive perceptions of the app's features and pre-intervention improvements. CONCLUSIONS: Determinants of adherence should be assessed, and targeted, to increase the impact of fully automated digital interventions.

Poor sleep is associated with work environment among 10,087 French healthcare workers: Results from a nationwide survey.

Poor sleep is a prevalent issue among healthcare workers and can have detrimental effects on their health. Various individual and professional factors, including the work environment, may contribute to poor sleep. However, only a limited number of studies have examined the simultaneous influence of these factors. Hence, we conducted a nationwide survey among graduated healthcare workers in both public and private healthcare facilities in France. The aim was to analyze the association between poor sleep, assessed using the Pittsburgh Sleep Quality Index (>5), and the work environment, evaluated using the Job Content Questionnaire. The study encompassed 10,087 healthcare workers, among whom 6,540 (64.8%) reported experiencing poor sleep. Nurses, health executives, nursing assistants, and other allied healthcare professionals were more likely to experience poor sleep compared to physicians. Through multivariate regression analysis, we identified several aspects of the work environment associated with an increased likelihood of poor sleep. These factors included high speed and quantity of work, high complexity and intensity, high fragmentation and unpredictability, limited decision-making latitude, underutilization of skills, lack of emotional support from colleagues, and sustained workplace bullying. These findings highlight the significance of considering the work environment in addressing sleep issues among healthcare professionals.

Sleep timing, workplace well-being and mental health in healthcare workers.

INTRODUCTION: Healthcare workers face an elevated risk of burnout, sleep disorders, and mental health issues, potentially stemming from the misalignment of their circadian rhythm due to nonstandard work schedules. This cross-sectional survey aims to examine the connections between sleep timing, workplace well-being (including burnout and absenteeism), and mental health outcomes (specifically depression and poor sleep) in healthcare workers. Additionally, the survey takes into account individual and professional factors, as well as the interaction with work schedules. METHODS: The study encompasses 4,971 healthcare workers from both public and private healthcare facilities in France, including nurses, nursing assistants, and physicians recruited during the third wave of the COVID-19 pandemic. The Maslach Burnout Inventory assesses burnout, the Center for Epidemiologic Studies Depression Scale measures depression, and the Pittsburgh Sleep Quality Index evaluates poor sleep. Sleep timing is categorized into morning, neutral, and evening timing, referred to as midsleep. Multivariate logistic regression analysis is conducted to explore the relationships between sleep timing and burnout, depression, and poor sleep, while adjusting for various factors. RESULTS: The findings reveal that 56.5% of participants experience burnout, 29.8% report depression, and 64.5% report poor sleep. Nurses and nursing assistants exhibit a higher prevalence of poor sleep. Morning sleep timing is associated with burnout among those with fixed schedules and with depression among those with shift schedules. Among physicians, both morning and evening sleep timing are associated with depression, while morning sleep timing is linked to poor sleep across all subgroups. INTERPRETATION: This study suggests that the misalignment between healthcare workers' internal circadian rhythm and their work schedules may contribute to an increased risk of burnout, depression, and poor sleep. Occupational health services and policymakers should recognize the potential for enhancing workplace well-being and mental health outcomes by enabling healthcare workers to maintain sleep schedules that accommodate their needs.

Investigating associations between social determinants, self-efficacy measurement of sleep apnea and CPAP adherence: the SEMSA study.

Study objectives: The prospective Self-Efficacy Measure for Sleep Apnea study (SEMSAS) is investigating thresholds for health literacy, self-efficacy and precariousness at obstructive sleep apnea (OSA) diagnosis to predict CPAP adherence. This paper describes the study protocol and presents baseline data from the ongoing study. Methods: Eligible individuals had confirmed OSA and were referred to a homecare provider for continuous positive airway pressure (CPAP) therapy initiation. Data on patient characteristics and comorbidities were collected, along with baseline evaluations of self-efficacy [15-item Self-Efficacy Measure for Sleep Apnea tool (SEMSA-15)], precariousness [Deprivation in Primary Care Questionnaire (DipCareQ)], and health literacy (Health Literacy Questionnaire). CPAP adherence over 12 months of follow-up will be determined using remote monitoring of CPAP device data. The primary objective is to define an optimal SEMSA-15 score threshold to predict CPAP adherence at 3- and 12-month follow-up. Results: Enrollment of 302 participants (71% male, median age 55 years, median body mass index 31.6 kg/m2) is complete. Low self-efficacy (SEMSA-15 score ≤ 2.78) was found in 93/302 participants (31%), and 38 (12.6%) reported precariousness (DipCareQ score > 1); precariousness did not differ significantly between individuals with a SEMSA-15 score ≤ 2.78 versus >2.78. Health literacy was generally good, but was significantly lower in individuals with versus without precariousness, and with low versus high self-efficacy. Conclusion: SEMSAS is the first study using multidimensional baseline assessment of self-efficacy, health literacy and precariousness, plus other characteristics, to determine future adherence to CPAP, including CPAP adherence trajectories. Collection of follow-up data is underway.

Psychosomatic states and their correlation with letting-go: two newly evaluated core factors for investigating the therapeutic effect of spa treatment.

Spa therapy (aka crenobalneotherapy) has been the object of criticism due to insufficient evidence of its effectiveness. While further effectiveness studies are needed, others are also required to better evaluate the curative factors involved during spa therapy that may contribute to the effectiveness. The current study used specific scales to investigate two possible curative factors: the psychosomatic state and the letting-go of patients with mental disorders after 3 weeks of spa therapy. The Saujon Psychosomatic Questionnaire (SPQ) and the Quantified Assessment of Fluidity of Consciousness Questionnaire (QACF) evaluate psychosomatic state and letting-go, respectively. The Hospital Anxiety and Depression Scale (HAD) and the Insomnia Severity Index (ISI) evaluate depression and anxiety symptoms and insomnia symptoms, respectively. Sixty-five subjects (57 women (87.69%); 8 men), with a mean age of 56.9 (± 9.7) years, were included. SPQ and QAFC scores improved significantly before and after the 3 weeks of spa therapy. Improvement in HAD and ISI scores was significantly correlated with SPQ and QACF scores. These preliminary results suggest that the induced psychosomatic state and the letting-go induced by spa treatment with bubbling baths, jet showers, pool bathing and massage could help patients to become more available and more able to change their psychophysiological state.