Hôpital Corentin-Celton

This quality improvement study presents the results of the 2025 edition of the European Board Examination in Psychiatry.

BackgroundSocial media (SM) platforms have become increasingly prevalent in adolescents’ lives, and concerns have arisen regarding their potential contribution to depression. This study examined whether excessive SM use contributes to rising adolescent depression rates and evaluated potential mitigation strategies.Methods and findingsWe developed an individual-based microsimulation model of 18.6 million French adolescents born 1990–2012, tracking depression outcomes from 2000–2022 (analyses conducted August 2024-July 2025). The model incorporated 95 parameters, including demographics, SM use patterns, and established depression risk factors (childhood adversities, chronic physical conditions, physical inactivity, obesity, substance use). The main outcome was cumulative depression cases, and secondary outcomes were suicide deaths, health-adjusted life expectancy (HALE) loss, and associated costs. The model was well-calibrated and validated adequately against US-specific data. It showed that excessive SM use likely played an important role in the recent increase in rates of adolescent depression. Among French adolescents, simulations indicated that excessive SM use was associated with an additional cumulative lifetime 590,000 depression cases (95%CI [400,000, 760,000]), 799 suicide deaths (95%CI [547, 1,028]), 137,000 (95%CI [94,000, 176,000]) HALE loss years, and 3.94 (95%CI [2.70, 5.07]) billion euros, compared to scenarios without SM platforms. Key limitations are that microsimulation modeling cannot establish causality from observational data and the reliance on duration-based exposure measures without capturing content type or engagement quality.ConclusionsIn this study, we estimated that limiting SM use to 1 h per day for all adolescents, replacing 30 min of SM use with 30 min of physical activity, or stopping its use for adolescents most at-risk for depression, would be associated with a reduction in cumulative lifetime prevalence of depression by 14.7%, 12.9%, and 12.0%, respectively, and diminished associated costs. Targeted SM interventions could potentially reduce adolescent depression burden, though real-world implementation and effectiveness require validation.

Abstract Even during the third wave of the COVID-19 pandemic health professionals were facing mental health challenges. The aim of this study was to examine the mental health of doctors, nurses and other professional groups in Europe and to identify differences between the professional groups. We conducted a cross-sectional online survey in 8 European countries. We asked for demographic data, whether the participants were exposed to COVID-19 at work, for main information sources about the pandemic, the Depression Anxiety Stress Scale (DASS-21), and major stressors. A MANCOVA was carried out to find predictors of mental health among health care professionals. The sample (N = 1,398) consisted of 237 physicians, 459 nurses, and 351 other healthcare professionals and 351 non-medical professionals with no direct involvement in patient care. The mean mental health of all groups was affected to a mild degree. Major predictors were profession group for depression and anxiety with higher scores especially in the group of the nurses and for the group working directly with COVID-patients. In the third wave of the COVID-19 pandemic, the psychological burden on health professionals has remained high, with being nurse and working directly with COVID19 patients being particular risk factors for mental distress. We found as a main result that that nurses scored significantly higher on depression and anxiety than practitioners.

To examine the association between psychiatric and non-psychiatric comorbidity and 28-day mortality among patients with psychiatric disorders and COVID-19. Multicenter observational retrospective cohort study of adult patients with psychiatric disorders hospitalized with laboratory-confirmed COVID-19 at 36 Greater Paris university hospitals (January 2020-May 2021) (n=3,768). First, we searched for different subgroups of patients according to their psychiatric and non-psychiatric comorbidities through cluster analysis. Next, we compared 28-day all-cause mortality rates across the identified clusters, while taking into account sex, age, and the number of medical conditions. We found five clusters of patients with distinct psychiatric and non-psychiatric comorbidity patterns. Twenty-eight-day mortality in the cluster of patients with mood disorders was significantly lower than in other clusters. There were no significant differences in mortality across other clusters. All psychiatric and non-psychiatric conditions may be associated with increased mortality in patients with psychiatric disorders and COVID-19. The lower risk of death among patients with mood disorders might be in line with the potential beneficial effect of certain antidepressants in COVID-19, but requires further research. These findings may help identify at-risk patients with psychiatric disorders who should benefit from vaccine booster prioritization and other prevention measures.

Abstract Background Tobacco use is a major risk factor for cardiovascular diseases (CVD), but smoking cessation (SC) reduces or even cancels the risk of CVD for both sex. Using data from the French national “Consultations de Dépendance Tabagique” (CDTnet) cohort, we aimed to determine the predictive factors of SC in men and women smokers at high cardiovascular (CV) risk (i.e. with a CV disease or risk factor). Material and methods Retrospective study from the French SC services CDT-net database. Inclusion criteria were age ≥18 years, and ≥1 CV risk factor (BMI ≥25 kg/m2, hypercholesterolemia, diabetes, arterial hypertension) or CVD (history of stroke, myocardial infarction or angina pectoris, peripheral arterial disease (PAD)). Smoking abstinence (≥28 consecutive days) was self-reported and confirmed by exhaled carbon monoxide <10 ppm. Logistic regression assessed the association between SC and sociodemographic factors, medical characteristics and patients' smoking profile. Results Among the 246,364 subjects in the database, 15% (36,864) fulfilled the inclusion criteria. One month-abstinence was lower in women (52.6% (n=8,102) vs 55% (n=11,848) in men, p<0.001). For both sex, smokers with the lowest abstinence rates were those with respiratory diseases (47% among women vs. 50% among men respectively), depression history (48% vs. 48%), anxiety or depression symptoms (49% vs 50%) use of anxiolytics/antidepressants, use of opioid substitution treatment, use of cannabis (42% vs 41%) and benefit less than 3 follow-up visits (36% vs 41%). Factors positively associated with SC in both sex were age >65 years, having a degree, being employed, coming by self-initiation or by one's relatives, being overweight, having previous quit attempts, presenting with low nicotine dependence and being confident in achieving abstinence. Factors negatively associated with abstinence only in women but not in men was alcohol disorder. Finally, factors negatively associated with abstinence only in men but not in women were PAD, and tobacco-related cancers. Conclusion Our results from a large nationwide database suggest the relevance of differentiated management according to sex in smokers at high CV risk, given the major sex-specific disparities in factors associated with abstinence rates. Funding Acknowledgement Type of funding sources: Other. Main funding source(s): This work was supported by IReSP and INCa through a call for doctoral grants launched in 2019.