Clinical significance criteria in the ICSD and DSM sleep disorder classifications: a content overlap analysis using the Jaccard index.

Study Objectives: Both the (ICSD) and the sleep-wake disorders section of the (DSM) emphasize the importance of clinical judgment in distinguishing the normal from the pathological in sleep medicine. The fourth edition of the DSM (DSM-IV, 1994) introduced the clinical significance criterion (CSC) to standardize this judgment and enhance diagnostic reliability.

Methods: This review conducts a theoretical and historical content analysis of CSC presence, frequency, and formulation in the diagnostic criteria of sleep disorders.

Determinants of Dropout From a Virtual Agent-Based App for Insomnia Management in a Self-Selected Sample of Users With Insomnia Symptoms: Longitudinal Study.

Background: Fully automated digital interventions delivered via smartphone apps have proven efficacious for a wide variety of mental health outcomes. An important aspect is that they are accessible at a low cost, thereby increasing their potential public impact and reducing disparities. However, a major challenge to their successful implementation is the phenomenon of users dropping out early.

[Screening for sleep disorders in internal medicine as potential comorbidities of systemic autoimmune diseases and improving patients' quality of life].

Sleep medicine and internal medicine share a global and transdisciplinary vision of human physiology and illnesses, with an approach guided by the complaint and semiology. In France, approximately 13 to 18 million individuals suffer from a sleep disorder: these disorders therefore represent a public health problem. Their comorbidities with systemic autoimmune diseases are frequent.

Proposing a definition for sleep disorders: An epistemological review.

To establish an overarching definition of what constitutes a sleep disorder, it is essential to know which health conditions should be included in the classifications of sleep disorders and to better distinguish the normal from the pathological in sleep medicine. This would bring together several professional organizations in their understanding of this hitherto heterogeneous concept. However, no consensus regarding a general definition of a sleep disorder currently exists.

Exploring the interplay of clinical reasoning and artificial intelligence in psychiatry: Current insights and future directions.

For many years, it has been widely accepted in the psychiatric field that clinical practice cannot be reduced to finely tuned statistical prediction systems utilizing diverse clinical data. Clinicians are recognized for their unique and irreplaceable roles. In this brief historical overview, viewed through the lens of artificial intelligence (AI), we propose that comprehending the reasoning behind AI can enhance our understanding of clinical reasoning.

Accepting multiple conditions in psychiatry: From comorbidity to multimorbidity.

The concept of multimorbidity in psychiatry refers to the coexistence of multiple health conditions without conceptualizing a central disorder referring to a patient-centered approach that views every diagnosis equally. It emphasizes a shift from focusing on an index disorder to considering interrelated symptoms crucial in psychiatry due to frequent multimorbidity patterns. In clinical practice, multimorbidity guides patient-centered care helping to address the holistic needs of patients and challenging the organization of mental health care.

Predictors of substance use during treatment for addiction: A network analysis of ecological momentary assessment data.

Background And Aims: Ecological momentary assessment (EMA) studies have previously demonstrated a prospective influence of craving on substance use in the following hours. Conceptualizing substance use as a dynamic system of causal elements could provide valuable insights into the interaction of craving with other symptoms in the process of relapse. The aim of this study was to improve the understanding of these daily life dynamic inter-relationships by applying dynamic networks analyses to EMA data sets.

Guidelines for the assessment and management of residual sleepiness in obstructive apnea-hypopnea syndrome: Endorsed by the French Sleep Research and Medicine Society (SFRMS) and the French Speaking Society of Respiratory Diseases (SPLF).

Excessive daytime sleepiness (EDS) is frequent among patients with obstructive sleep apnea hypopnea syndrome (OSAHS) and can persist despite the optimal correction of respiratory events (apnea, hypopnea and respiratory efforts), using continuous positive airway pressure (CPAP) or mandibular advancement device. Symptoms like apathy and fatigue may be mistaken for EDS. In addition, EDS has multi-factorial origin, which makes its evaluation complex.

Validation of the French version of the Munich ChronoType questionnaire and associations between chronotype and physiological parameters.

Assessing chronotype is essential in clinical and research environments, but the Munich ChronoType Questionnaire (MCTQ), a widely utilised tool, is not available in French. Therefore, we carried out an observational monocentric study to validate the French MCTQ against the sleep diary for sleep schedules, the Morningness-Eveningness Questionnaire (MEQ) for chronotype, and polysomnography measures. We utilised the mid-sleep point on free days (MSF), adjusted for sleep debt (MSFsc), to gauge morningness/eveningness.

Associations between Sleep Hygiene and Mental Complaints in a French Healthcare Worker Population during the COVID-19 Crisis: A Cross-Sectional Analysis to Personalize Sleep Health Interventions.

Healthcare workers often have irregular work schedules and experience significant stress, which can lead to poor sleep quality and frequent mental health issues, especially in the context of the COVID-19 pandemic. In this cross-sectional study, we aimed to assess the prevalence of poor sleep hygiene and mental health complaints among healthcare workers and examine their associations. We investigated participants' typical sleep-wake patterns on workdays and free days as indicators of sleep hygiene.

Why circadian rhythmicity matters: Associations between sleep irregularity and mental health conditions during the Covid-19 health crisis.

Objective: To assess the association between sleep irregularity, anxiety, and depression while controlling for other sleep dimensions and using a longitudinal design.

Methods: Longitudinal cohort study which started in April 2020 during the first French lockdown in the general population. Follow-up questionnaires were completed in June 2020, a period without lockdown measures.

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.

[Pathophysiological hypothesis and diagnosis of insomnia disorder].

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.

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.

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'.

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.

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.

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.