Background: The acknowledgment of the mental health toll of the COVID-19 epidemic in healthcare workers has increased considerably as the disease evolved into a pandemic status. Indeed, high prevalence rates of depression, sleep disorders, and post-traumatic stress disorder (PTSD) have been reported in Chinese healthcare workers during the epidemic peak. Symptoms of psychological distress are expected to be long-lasting and have a systemic impact on healthcare systems, warranting the need for evidence-based psychological treatments aiming at relieving immediate stress and preventing the onset of psychological disorders in this population. In the current COVID-19 context, internet-based interventions have the potential to circumvent the pitfalls of face-to-face formats and provide the flexibility required to facilitate accessibility to healthcare workers. Online cognitive behavioral therapy (CBT) in particular has proved to be effective in treating and preventing a number of stress-related disorders in populations other than healthcare workers. The aim of our randomized controlled trial study protocol is to evaluate the efficacy of the ‘My Health too’ CBT program—a program we have developed for healthcare workers facing the pandemic—on immediate perceived stress and on the emergence of psychiatric disorders at 3- and 6-month follow-up compared to an active control group (i.e., bibliotherapy). Methods: Powered for superiority testing, this six-site open trial involves the random assignment of 120 healthcare workers with stress levels > 16 on the Perceived Stress Scale (PSS-10) to either the 7-session online CBT program or bibliotherapy. The primary outcome is the decrease of PSS-10 scores at 8 weeks. Secondary outcomes include depression, insomnia, and PTSD symptoms; self-reported resilience and rumination; and credibility and satisfaction. Assessments are scheduled at pretreatment, mid-treatment (at 4 weeks), end of active treatment (at 8 weeks), and at 3-month and 6-month follow-up. Discussion: This is the first study assessing the efficacy and the acceptability of a brief online CBT program specifically developed for healthcare workers. Given the potential short- and long-term consequences of the COVID-19 pandemic on healthcare workers’ mental health, but also on healthcare systems, our findings can significantly impact clinical practice and management of the ongoing, and probably long-lasting, health crisis. Trial registration: ClinicalTrials.gov NCT04362358, registered on April 24, 2020.

Bipolar disorder (BD) is characterized by speech abnormalities, reflected by symptoms such as pressure of speech in mania and poverty of speech in depression. Here we aimed at investigating speech abnormalities in different episodes of BD, including mixed episodes, via process-oriented measures of verbal fluency performance – i.e., word and error count, semantic and phonological clustering measures, and number of switches–, and their relation to neurocognitive mechanisms and clinical symptoms. 93 patients with BD – i.e., 25 manic, 12 mixed manic, 19 mixed depression, 17 depressed, and 20 euthymic–and 31 healthy controls were administered three verbal fluency tasks – free, letter, semantic–and a clinical and neuropsychological assessment. Compared to depression and euthymia, switching and clustering abnormalities were found in manic and mixed states, mimicking symptoms like flight of ideas. Moreover, the neuropsychological results, as well as the fact that error count did not increase whereas phonological associations did, showed that impaired inhibition abilities and distractibility could not account for the results in patients with manic symptoms. Rather, semantic overactivation in patients with manic symptoms, including mixed depression, may compensate for trait-like deficient semantic retrieval/access found in euthymia.“For those who are manic, or those who have a history of mania, words move about in all directions possible, in a three-dimensional ‘soup’, making retrieval more fluid, less predictable.”Kay Redfield Jamison (2017, p. 279).

The Seasonal Pattern Assessment Questionnaire (SPAQ), by Rosenthal et al. (1984), is by far the most used questionnaire to evaluate seasonal effects on mood and behavior. It includes a general seasonality score (GSS), composed of 6 items, from which cutoffs have been established to screen for seasonal affective disorder (SAD). However, it has never been validated in French and associations with circadian rhythm and symptoms of depression and bipolarity remain unclear. In this study, including 165 subjects (95 controls and 70 patients with depression or bipolar disorder), we confirmed the validity of the French version of the SPAQ, with a two-factor structure (a psychological factor: energy, mood, social activity and sleep length; and a food factor: weight and appetite) and a good fit was observed by all indicators. Mood and social activity dimensions were significantly affected by seasons in the depressed/bipolar group and a stronger global seasonality score (GSS) was associated with more severe phenotypes of depression and mania. Subjects meeting SAD and subsyndromal-SAD criteria also showed a delayed circadian rhythm compared to controls. Simple tools, such as the SPAQ, can aid the identification of significant seasonal changes and have direct implications on therapeutics including the use of bright light therapy in order to enhance personalized treatments, but also to prevent adverse seasonal effects.

Low prevalence of substance-use disorder has been reported in adults with autism. However, on a superficial level, adults with high-functioning autism (HFA) display a ‘normal’ façade when they drink alcohol, which may explain why their alcohol dependency is not better diagnosed. Here, we report two cases of HFA adults who use alcohol and psychostimulants to cope with their anxiety and improve their cognitive abilities and social skills. We analyze how neurocognitive traits associated with HFA may be potential triggers for substance-use disorder. Better identification of autism and its cognitive impairments, which may be vulnerability traits for developing substance-use disorders, could help improve the diagnosis and treatment of substance-use disorders among this population.