Prevalence of long COVID in the general adult population according to different definitions and sociodemographic and infection characteristics. A nationwide random sampling survey in France in autumn 2022

OBJECTIVES

Long COVID has been recognized since early 2020, but its definition is not unanimous, which complicates epidemiological assessments. This study estimated the prevalence of long COVID based on several definitions and severity thresholds in the adult population of mainland France and examined variations according to sociodemographic and infection characteristics.

METHODS

A cross-sectional survey using random sampling was conducted in August-November 2022. Participants declaring SARS-CoV-2 infection were assessed for infection dates and context, post-COVID symptoms (from a list of 31, with onset time, daily functioning impact, and alternative diagnosis), and perceived long COVID. Long COVID prevalence was estimated according to the WHO, National Institute for Health and Care Excellence, United States National Centre for Health Statistics, and United Kingdom Office for National Statistics definitions.

RESULTS

Of 10 615 participants, 5781 (54.5%) reported SARS-CoV-2 infection, with 123-759 (1.2-13.4%) having long COVID, depending on the definition. The prevalence of WHO post-COVID condition (PCC) was 4.0% (95% CI: 3.6-4.5) in the overall population and 8.0% (95% CI: 7.0-8.9) among infected individuals. Among the latter, the prevalence varied from 5.3% (men) to 14.9% (unemployed) and 18.6% (history of hospitalization for COVID-19). WHO-PCC overlapped poorly with other definitions (kappa ranging from 0.18 to 0.59) and perceived long COVID (reported in only 43% of WHO-PCC).

DISCUSSION

Regardless of its definition, long COVID remains a significant burden in the French adult population that deserves surveillance, notably for forms that strongly impact daily activities. More standardized definitions will improve integrated surveillance of, and better research on, long COVID.

Psychological burden associated with incident persistent symptoms and their evolution during the COVID-19 pandemic: a prospective population-based study

BACKGROUND

Identifying factors that predict the course of persistent symptoms that occurred during the COVID-19 pandemic is a public health issue. Modifiable factors could be targeted in therapeutic interventions.

OBJECTIVE

This prospective study based on the population-based CONSTANCES cohort examined whether the psychological burden associated with incident persistent symptoms (ie, that first occurred from March 2020) would predict having ≥1 persistent symptom 6-10 months later.

METHODS

A total of 8424 participants (mean age=54.6 years (SD=12.6), 57.2% women) having ≥1 incident persistent symptom at baseline (ie, between December 2020 and February 2021) were included. The psychological burden associated with these persistent symptoms was assessed with the Somatic Symptom Disorder-B Criteria Scale (SSD-12). The outcome was having ≥1 persistent symptom at follow-up. Adjusted binary logistic regression models examined the association between the SSD-12 score and the outcome.

FINDINGS

At follow-up, 1124 participants (13.3%) still had ≥1 persistent symptom. The SSD-12 score at baseline was associated with persistent symptoms at follow-up in both participants with (OR (95% CI) for one IQR increase: 1.42 (1.09 to 1.84)) and without SARS-CoV-2 infection prior to baseline (1.39 (1.25 to 1.55)). Female gender, older age, poorer self-rated health and infection prior to baseline were also associated with persistent symptoms at follow-up.

CONCLUSIONS

The psychological burden associated with persistent symptoms at baseline predicted the presence of ≥1 persistent symptom at follow-up regardless of infection prior to baseline.

CLINICAL IMPLICATIONS

Intervention studies should test whether reducing the psychological burden associated with persistent symptoms could improve the course of these symptoms.

[Integrating pathology and biology into medical education: current state and future directions]

Pathology and biology are essential in the patient care. However, they suffer from a lack of attractiveness to medicine students. In order to gain insight and improve the visibility and attractiveness of these specialties, we designed a survey and submitted forms to medical students, laboratory medical staff, and clinical staff from the different hospitals and institutes attached to "Université Paris Cité". The responses (363 students (response rate: 9.1%), 109 medical -laboratory staff (25%), 61 clinical staff (10%)) confirmed the poor visibility of these specialties among students as well as the will of the -medical laboratory staff to be more involved in the student's training. The -development of partnerships between laboratories and clinical -departments, which would allow medical students to spend short periods of time in related laboratories during their clinical internship, is a prospect for improving the teaching of these disciplines. The main expected benefits are to "discover a new specialty" and "to better understand the prescription of laboratory tests", which are crucial aspects for understanding the role of laboratory disciplines and their interaction with clinicians to improve patient care.

CARECOS study: Medical students' empathy as assessed with the CARE measure by examiners versus standardized patients during a formative Objective and Structured Clinical Examination (OSCE) station

PURPOSE

To assess the Consultation And Relational Empathy (CARE) measure as a tool for examiners to assess medical students' empathy during Objective and Structured Clinical Examinations (OSCEs), as the best tool for assessing empathy during OSCEs remains unknown.

METHODS

We first assessed the psychometric properties of the CARE measure, completed simultaneously by examiners and standardized patients (SP, either teachers - SPteacher - or civil society members - SPcivil society), for each student, at the end of an OSCE station. We then assessed the qualitative/quantitative agreement between examiners and SP.

RESULTS

We included 129 students, distributed in eight groups, four groups for each SP type. The CARE measure showed satisfactory psychometric properties in the context of the study but moderate, and even poor inter-rater reliability for some items. Considering paired observations, examiners scored lower than SPs (p < 0.001) regardless of the SP type. However, the difference in score was greater when the SP was a SPteacher rather than a SPcivil society (p < 0.01).

CONCLUSION

Despite acceptable psychometric properties, inter-rater reliability of the CARE measure between examiners and SP was unsatisfactory. The choice of examiner as well as the type of SP seems critical to ensure a fair measure of empathy during OSCEs.

Somatic Symptom Disorder-B criteria scale (SSD-12): Psychometric properties of the French version and associations with health outcomes in a population-based cross-sectional study

OBJECTIVE

The 12-item Somatic Symptom Disorder-B Criteria Scale (SSD-12) is a self-reported questionnaire designed to assess the B criteria of the DSM-5 somatic symptom disorder. In this cross-sectional study, we aimed to examine the psychometric properties of the SSD-12 French version and associated health outcomes.

METHODS

Participants were volunteers from the population-based CONSTANCES cohort who reported at least one new symptom that occurred between March 2020 and January 2021. Depressive symptoms were measured with the Center for Epidemiologic Studies-Depression scale (CES-D).

RESULTS

A total of 18,796 participants completed the SSD-12. The scree plot was consistent with a 1-factor structure, while goodness-of-fit indices of the confirmatory factorial analyses and clinical interpretability were consistent with a 3-factor structure (excluding the item 7): 'Perceived severity', 'Perceived impairment', 'Negative expectations'. The Cronbach's α coefficients of the total and factors scores were 0.90, 0.88, 0.84 and 0.877, respectively. The total score was associated with depressive symptoms (Spearmann's rho: 0.32), self-rated health (-0.46), the number of persistent symptoms (0.32), and seeking medical consultation (odds ratio [95% confidence interval] for one interquartile range increase: 1.51 [1.48-1.54]). Among participants seeking medical consultation, those with higher SSD-12 scores were more likely to have their symptoms attributed to "stress/anxiety/depression" (1.32 [1.22-1.43]) and "psychosomatic origin" (1.25 [1.20-1.29]), and less to "COVID-19" (0.89 [0.85-0.93]).

CONCLUSION

While the SSD-12 French version can be used as a unidimensional tool, it also has a 3-factor structure, somewhat different from the DSM-5 theoretical structure, with high internal consistency and clinically meaningful associations with other health outcomes.

Complex association between post-COVID-19 condition and anxiety and depression symptoms

BACKGROUND

To assess the associations between anxiety and depressive symptoms and post-COVID-19 condition (PCC) by exploring the direction of these associations and their relevance in the definition of PCC.

METHODS

Nationwide survey among French adults, recruited between March and April, 2022, using a quota method to capture a representative sample of the general population with regard to sex, age, socioeconomic status, size of the place of residence, and region. We included all participants who met the World Health Organization (WHO) definition of PCC in addition to a random sample of participants infected with SARS-COV-2 for at least 3 months but without PCC. Self-reported anxiety and depressive symptoms, chronic anxiety and depression (for more than 3 years), and anxiety and depression were measured using the GAD-2 and PHQ-2 questionnaires, respectively.

RESULTS

In a sample of 1,095 participants with PCC and 1,021 participants infected with SARS-COV-2 without PCC, 21% had self-reported anxiety and 18% self-reported depression, whereas 33% and 20% had current measured symptoms of anxiety and depression, respectively. The high prevalence of these symptoms cannot only be explained by the characterization of PCC, as only 13.4% of anxiety symptoms and 7.6% of depressive symptoms met the WHO criteria for PCC. Only one participant met the WHO criteria based on self-reported anxiety or depressive symptoms alone, as these were always combined with other symptoms in patients with PCC. Chronic symptoms were associated with PCC (aOR 1.27; 95% CI: 1.00-1.61). In addition, measured anxiety was associated with PCC (aOR = 1.29; 95% CI: 1.02-1.62).

CONCLUSIONS

Pre-COVID-19 chronic anxiety and depression may play a role in the development of PCC or share vulnerability factors with it. Our results challenge the inclusion of anxiety and depression in the definition of PCC.

Neurophysiological explorations across the spectrum of psychosis, autism, and depression, during wakefulness and sleep: protocol of a prospective case-control transdiagnostic multimodal study (DEMETER)

BACKGROUND

Quantitative electroencephalography (EEG) analysis offers the opportunity to study high-level cognitive processes across psychiatric disorders. In particular, EEG microstates translate the temporal dynamics of neuronal networks throughout the brain. Their alteration may reflect transdiagnostic anomalies in neurophysiological functions that are impaired in mood, psychosis, and autism spectrum disorders, such as sensorimotor integration, speech, sleep, and sense of self. The main questions this study aims to answer are as follows: 1) Are EEG microstate anomalies associated with clinical and functional prognosis, both in resting conditions and during sleep, across psychiatric disorders? 2) Are EEG microstate anomalies associated with differences in sensorimotor integration, speech, sense of self, and sleep? 3) Can the dynamic of EEG microstates be modulated by a non-drug intervention such as light hypnosis?

METHODS

This prospective cohort will include a population of adolescents and young adults, aged 15 to 30 years old, with ultra-high-risk of psychosis (UHR), first-episode psychosis (FEP), schizophrenia (SCZ), autism spectrum disorder (ASD), and major depressive disorder (MDD), as well as healthy controls (CTRL) (N = 21 × 6), who will be assessed at baseline and after one year of follow-up. Participants will undergo deep phenotyping based on psychopathology, neuropsychological assessments, 64-channel EEG recordings, and biological sampling at the two timepoints. At baseline, the EEG recording will also be coupled to a sensorimotor task and a recording of the characteristics of their speech (prosody and turn-taking), a one-night polysomnography, a self-reference effect task in virtual reality (only in UHR, FEP, and CTRL). An interventional ancillary study will involve only healthy controls, in order to assess whether light hypnosis can modify the EEG microstate architecture in a direction opposite to what is seen in disease.

DISCUSSION

This transdiagnostic longitudinal case-control study will provide a multimodal neurophysiological assessment of clinical dimensions (sensorimotor integration, speech, sleep, and sense of self) that are disrupted across mood, psychosis, and autism spectrum disorders. It will further test the relevance of EEG microstates as dimensional functional biomarkers.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT06045897.

Patients with persistent symptoms after COVID-19 attending a multidisciplinary evaluation: Characteristics, medical conclusions, and satisfaction

OBJECTIVE

Among patients attending a multidisciplinary day-hospital program for persistent symptoms after COVID-19, we aimed i) to describe their characteristics ii) to present the medical conclusions (diagnoses and recommendations) and iii) to assess the patients' satisfaction and its correlates.

METHODS

For this retrospective chart review study, frequent symptoms were systematically assessed. Standardized questionnaires explored fatigue (Pichot scale), physical activity (Ricci & Gagnon scale), health-related quality of life (Short-Form Health Survey), anxiety and depressive symptoms (Hospital Anxiety and Depression scale) and associated psychological burden (Somatic-Symptom-Disorder B criteria Scale). Medical record conclusions were collected and a satisfaction survey was performed at 3-months follow-up.

RESULTS

Among 286 consecutive patients (median age: 44 years; 70% women), the most frequent symptoms were fatigue (86%), breathlessness (65%), joint/muscular pain (61%) and cognitive dysfunction (58%), with a median duration of 429 days (Inter-quartile range (IqR): 216-624). Questionnaires revealed low levels of physical activity and quality of life, and high levels of fatigue, anxiety, depression, and psychological burden, with 32% and 23% meeting the diagnostic criteria for a depressive or anxiety disorder, respectively. Positive arguments for a functional somatic disorder were found in 76% of patients, including 96% with no abnormal clinical or test findings that may explain the symptoms. Physical activity rehabilitation was recommended for 91% of patients. Patients' median satisfaction was 8/10 (IqR: 6-9).

CONCLUSION

Most patients attending this program presented with long-lasting symptoms and severe quality of life impairment, received a diagnosis of functional somatic disorder, and reported high levels of satisfaction regarding the program.

Depression and anxiety before and at the beginning of the COVID-19 pandemic and incident persistent symptoms: a prospective population-based cohort study

Many patients affected by COVID-19 suffer from debilitating persistent symptoms whose risk factors remained poorly understood. This prospective study examined the association of depression and anxiety symptoms measured before and at the beginning of the COVID-19 pandemic with the incidence of persistent symptoms. Among 25,114 participants [mean (SD) age, 48.72 years (12.82); 51.1% women] from the SAPRIS and SAPRIS-Sérologie surveys nested in the French CONSTANCES population-based cohort, depression and anxiety symptoms were measured with the Center for Epidemiologic Studies-Depression scale and the 12-item General Health Questionnaire before the pandemic, and with the 9-item Patient Health Questionnaire and the 7-Item Generalized Anxiety Disorder scale at the beginning of the pandemic (i.e., between April 6, 2020 and May 4, 2020). Incident persistent symptoms were self-reported between December 2020 and January 2021. The following variables were also considered: gender, age, educational level, household income, smoking status, BMI, hypertension, diabetes, self-rated health, and SARS-CoV-2 infection according to serology/PCR test results. After a follow-up of seven to ten months, 2329 participants (9.3%) had been infected with SARS-CoV-2 and 4262 (17.0%) reported at least one incident persistent symptom that emerged from March 2020, regardless of SARS-CoV-2 infection. In multi-adjusted logistic regression models, participants in the highest (versus the lowest) quartile of depressive or anxiety symptom levels before or at the beginning of the pandemic were more likely to have at least one incident persistent symptom (versus none) at follow-up [OR (95%CI) ranging from 2.10 (1.89-2.32) to 3.01 (2.68-3.37)], with dose-response relationships (p for linear trend <0.001). Overall, these associations were significantly stronger in non-infected versus infected participants, except for depressive symptoms at the beginning of the pandemic. Depressive symptoms at the beginning of the pandemic were the strongest predictor of incident persistent symptoms in both infected and non-infected participants [OR (95%CI): 2.88 (2.01-4.14) and 3.03 (2.69-3.42), respectively]. In exploratory analyses, similar associations were found for each symptom taken separately in different models. Depression and anxiety symptoms should be tested as a potential target for preventive interventions against persistent symptoms after an infection with SARS-CoV-2.

Unmet Psychosocial Needs of Health Care Professionals in Europe During the COVID-19 Pandemic: Mixed Methods Approach

BACKGROUND

The COVID-19 pandemic severely affected everyday life and working conditions for most Europeans, particularly health care professionals (HCPs). Over the past 3 years, various policies have been implemented in various European countries. Studies have reported on the worsening of mental health, work-related stress, and helpful coping strategies. However, having a closer look is still necessary to gain more information on the psychosocial stressors and unmet needs of HCPs as well as nonmedical staff.

OBJECTIVE

This study aimed to obtain quantitative information on job-related stressors of physicians and nurses and the coping strategies of HCPs and nonmedical staff at 2 periods of the COVID-19 pandemic. By further analyzing qualitative comments, we wanted to gain more information on the psychosocial stressors and unmet needs of HCPs as well as nonmedical staff on different levels of experience.

METHODS

A cross-sectional survey was conducted at 2 time points during the COVID-19 pandemic in several European countries. The first study period (T1) lasted between April 1 and June 20, 2020, and the second study period (T2) lasted between November 25, 2021, and February 28, 2022. On a quantitative level, we used a questionnaire on stressors for physicians and nurses and a questionnaire on coping strategies for HCPs and nonmedical staff. Quantitative data were descriptively analyzed for mean values and differences in stressors and coping strategies. Qualitative data of free-text boxes of HCPs and nonmedical staff were analyzed via thematic analysis to explore the experiences of the individuals.

RESULTS

T1 comprised 609 participants, and T2 comprised 1398 participants. Overall, 296 participants made 438 qualitative comments. The uncertainty about when the pandemic would be controlled (T1: mean 2.28, SD 0.85; T2: mean 2.08, SD 0.90) and the fear of infecting the family (T1: mean 2.26, SD 0.98; T2: mean 2.02, SD 1.02) were the most severe stressors identified by physicians and nurses in both periods. Overall, the use of protective measures (T1: mean 2.66, SD 0.60; T2: mean 2.66, SD 0.60) and acquiring information about COVID-19 (T1: mean 2.29, SD 0.82; T2: mean 1.99, SD 0.89) were identified as the most common coping strategies for the entire study population. Using thematic analysis, we identified 8 themes of personal experiences on the micro, meso, and macro levels. Measures, working conditions, feelings and emotions, and social climate were frequently mentioned topics of the participants. In T1, feelings of isolation and uncertainty were prominent. In T2, feelings of exhaustion were expressed and vaccination was frequently discussed. Moreover, unmet psychosocial needs were identified.

CONCLUSIONS

There is a need for improvement in pandemic preparedness. Targeted vocational education measures and setting up of web-based mental health support could be useful to bridge gaps in psychosocial support needs in future crises.

Peer bullying victimization in adolescence is associated with substance use: cross-sectional findings from French high school students

The relationships between peer bullying victimization in adolescence and substance use have been poorly studied. Thus, we examined the associations between peer bullying victimization and tobacco, alcohol and cannabis use in 496 French high school students. Peer bullying victimization was measured with a 17-item standardized assessment and analyzed as quartiles. Tobacco, alcohol, and cannabis use were assessed with the Hooked on Nicotine Checklist (HONC), the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) and the Cannabis Abuse Screening Test (CAST), respectively. Total scores at the HONC (0 to 10), AUDIT-C (0 to 12), and CAST (0 to 24) were used as dependent variables in generalized linear models, adjusting for sex, age, prepared graduation, last school marks and friends outside high school. Compared to the first quartile (i.e., the least bullied students), those from the second, third and fourth quartiles had significant increase of the AUDIT-C (B = 0.78 [95%CI 0.17-1.40] with p = 0.013; B = 0.86 [95%CI 0.26;1.46] with p = 0.005 and B = 1.00 [95%CI 0.38;1.62] with p = 0.002, respectively), with dose-dependent relationships (B = 0.33 ([95%CI 0.13; 0.52] with p = 0.001). Those from the fourth quartile had a significant increase of the CAST (B = 2.13[95%CI 1.25;3.01], p < 0.001). When examining the role of peer bullying victimization on the number of substances used, there were significant increased odds for students from the third and fourth quartiles, with dose-dependent relationships (OR = 1.24 [95% CI 1.07;1.44], p = 0.005). These findings encourage paying a particular attention to substance use in students who report being bullied. Consequently, information and prevention using standardized screening tools should be proposed. Conversely, substance use could be an indicator of peer bullying victimization and should thus be explored.

The risk of hospitalization for psychotic disorders following hospitalization for COVID-19: a French nationwide longitudinal study

COVID-19, like other infectious diseases, may be a risk factor for psychotic disorders. We aimed to compare the proportions of hospitalizations for psychotic disorders in the 12 months following discharge from hospital for either COVID-19 or for another reason in the adult general population in France during the first wave of the pandemic. We conducted a retrospective longitudinal nationwide study using the national French administrative healthcare database. Psychotic disorders were first studied as a whole, and then chronic and acute disorders separately. The role of several adjustment factors, including sociodemographics, a history of psychotic disorder, the duration of the initial hospitalization, and the level of care received during that hospitalization, were also analyzed. Between 1 January 2020 and 30 June 2020, a total of 14,622 patients were hospitalized for psychotic disorders in the 12 months following discharge from hospital for either COVID-19 or another reason. Initial hospitalization for COVID-19 (vs. another reason) was associated with a lower rate of subsequent hospitalization for psychotic disorders (0.31% vs. 0.51%, odds ratio (OR) = 0.60, 95% confidence interval (CI) [0.53-0.67]). This was true for both chronic and acute disorders, even after adjusting for the various study variables. Importantly, a history of psychotic disorder was a major determinant of hospitalization for psychotic disorders (adjusted OR = 126.56, 95% CI [121.85-131.46]). Our results suggest that, in comparison to individuals initially hospitalized for another reason, individuals initially hospitalized for COVID-19 present a lower risk of hospitalization for first episodes of psychotic symptoms/disorders or for psychotic relapse in the 12 months following discharge. This finding contradicts the hypothesis that there is a higher risk of psychotic disorders after a severe COVID-19.

Contextual influence of reinforcement learning performance of depression: evidence for a negativity bias?

BACKGROUNDS

Value-based decision-making impairment in depression is a complex phenomenon: while some studies did find evidence of blunted reward learning and reward-related signals in the brain, others indicate no effect. Here we test whether such reward sensitivity deficits are dependent on the overall value of the decision problem.

METHODS

We used a two-armed bandit task with two different contexts: one 'rich', one 'poor' where both options were associated with an overall positive, negative expected value, respectively. We tested patients (N = 30) undergoing a major depressive episode and age, gender and socio-economically matched controls (N = 26). Learning performance followed by a transfer phase, without feedback, were analyzed to distangle between a decision or a value-update process mechanism. Finally, we used computational model simulation and fitting to link behavioral patterns to learning biases.

RESULTS

Control subjects showed similar learning performance in the 'rich' and the 'poor' contexts, while patients displayed reduced learning in the 'poor' context. Analysis of the transfer phase showed that the context-dependent impairment in patients generalized, suggesting that the effect of depression has to be traced to the outcome encoding. Computational model-based results showed that patients displayed a higher learning rate for negative compared to positive outcomes (the opposite was true in controls).

CONCLUSIONS

Our results illustrate that reinforcement learning performances in depression depend on the value of the context. We show that depressive patients have a specific trouble in contexts with an overall negative state value, which in our task is consistent with a negativity bias at the learning rates level.

[Role of psychological factors in post-COVID-19 condition]

Even after a mild episode of coronavirus disease 2019 (COVID-19), many patients suffer from persistent symptoms that can impair their quality of life for months. The potential role of psychological mechanisms in this post-COVID-19 condition, often referred to as long COVID, has been discussed early in the pandemic. Evidence supporting this hypothesis is now accumulating. First, a history of anxiety or depression is now an established risk factor for post-COVID-19 condition with a dose-response relationship and effect size similar to those of other known risk factors. This association extends to other forms of psychological distress, including perceived stress and loneliness. Second, specific beliefs about COVID-19 have been associated with the risk of subsequent similar symptoms, occurring weeks to several months later. Other studies, which have yet to be replicated, suggest an influence of the context of the initial infection (first versus second wave of the pandemic, before the emergence of significant variants and vaccination) and the trust in various sources of information about COVID-19 on the risk of subsequent symptoms. Bayesian models of perception can account for these results particularly well within a theoretical framework similar to that advanced for functional somatic disorders, integrating increased symptom expectations with decreased perception of the body internal state (interoception) and intolerance of uncertainty in the context of symptoms initially triggered by an infectious episode. These psychological mechanisms should obviously not be considered as exclusive. However, since they are modifiable, they could be targeted in clinical trials, within an integrative and multidisciplinary approach.

[Depression in older adults. What are the differences in clinical practice?]

BACKGROUND

Management of depression in the elderly is a growing public health issue in France. The objective of this study was to compare practitioners' perception of depression severity (i.e., intensity and suicidal risk) and clinical practice (i.e., clinical assessment and medication choice) in elderly versus younger adult patients with major depression.

MATERIALS AND METHOD

The method consisted of an online questionnaire completed by general practitioners and psychiatrists. Respondents'answers to a fictive case of a patient with major depression were randomized according to the patient's age, if the patient'age was either 40 or 70 years old. We assessed the perceived intensity of the depression, the perceived suicidal risk, the prescription of biological tests and cerebral imaging, and of antidepressive or other psychotropic medications. 102 completed forms were included. Data indicate that there were no significant differences in terms of perceived depression intensity and suicidal risk according to the patients'age. The prescription of biological tests was systematic in both groups, but a significant difference was observed in terms of prescription of brain imaging (71% of respondents for the 70-year-old patient versus 43% for the 40-year-old patient, p < 0.005), use of tetracyclic antidepressant (33% if aged 70 years versus 2% if aged 40 years, p < 0.001) and other psychotropic non-antidepressant medications (69% if aged 70 years versus 85% if aged 40 years, p < 0.05). This study did not show any significant difference in the perception of depression according to age. However, it highlights differences in terms of practical care according to age. These results suggest a partial gap between clinical practice and guidelines for the management of major depression in older adults, reflecting the need to favor the dissemination of guidelines and strengthen research for this population.

Housing conditions and changes in professional activity during lockdown and the risk of prevalent and incident depression: Findings from the CONSTANCES cohort

BACKGROUND

Material conditions of lockdown and changes in regular functioning may have played a role on depressive manifestations. We aimed to examine the association between housing conditions and changes in professional activity and depression during the first COVID-19 outbreak in France.

METHOD

Participants of the CONSTANCES cohort were followed online. A first questionnaire covered the lockdown period (assessing housing conditions and changes in professional activity), and a second the post-lockdown period (assessing depression using the Center of Epidemiologic Studies Depression-Scale (CES-D)). Incident depression was also estimated (with a previous CES-D measure). Logistic regression models were applied.

RESULTS

22,042 participants (median age 46 years, 53.2 % women) were included and 20,534 had a previous CES-D measure. Depression was associated with female gender, lower household income and past history of depression. A negative gradient between the number of rooms and the likelihood of depression was consistently observed (OR = 1.55 95 % [1.19-2.00] for one room, OR = 0.76 [0.65-0.88] for seven rooms), while a U-shape relationship was observed with the number of people living together (OR = 1.62 [1.42-1.84] for living alone, OR = 1.44 [1.07-1.92] for six persons). These associations were also observed with incident depression. Changes in professional activity were associated with depression (Started distance working (OR = 1.33 [1.17-1.50]). Starting distance working was also associated with incident depression (OR = 1.27 [1.08-1.48]).

LIMITATION

A cross-sectional design was used.

CONCLUSION

The consequences of lockdown on depression may vary depending on living conditions and changes in professional activity, including distance working. These results could help to better identify vulnerable people to promote mental health.

Trust in sources of information on COVID-19 at the beginning of the pandemic's first wave and incident persistent symptoms in the population-based CONSTANCES cohort: A prospective study

OBJECTIVE

To examine the association between trust in different sources of information on COVID-19 at the beginning of the pandemic and the burden of incident persistent symptoms.

METHODS

This prospective study used data from the SAPRIS and SAPRIS-Sérologie surveys nested in the French CONSTANCES population-based cohort. Trust in different information sources was measured between April 6 and May 4, 2020. Persistent symptoms that emerged afterwards were self-reported between December 2020 and January 2021. The associated psychological burden was measured with the somatic symptom disorder B criteria scale (SSD-12). The analyses were adjusted for gender, age, education, income, self-rated health, SARS-CoV-2 serology tests, and self-reported COVID-19.

RESULTS

Among 20,985 participants [mean age (SD), 49.0 years (12.7); 50.2% women], those with higher trust in government/journalists at baseline had fewer incident persistent symptoms at follow-up (estimate (SE) for one IQR increase: -0.21 (0.03), p < 0.001). Participants with higher trust in government/journalists and medical doctors/scientists were less likely to have ≥1 symptom (odds ratio (95% confidence interval) for one IQR increase: 0.87 (0.82-0.91) and 0.91 (0.85-0.98), respectively). Among 3372 participants (16.1%) who reported ≥1 symptom, higher trust in government/journalists and medical doctors/scientists predicted lower SSD-12 scores (-0.39 (0.17), p = 0.02 and - 0.85 (0.24), p < 0.001, respectively), whereas higher trust in social media predicted higher scores in those with lower trust in government/journalists (0.90 (0.34), p = 0.008). These associations did not depend upon surrogate markers of infection with SARS-CoV-2.

CONCLUSIONS

Trust in information sources on COVID-19 may be associated with incident persistent symptoms and associated psychological burden, regardless of infection with SARS-CoV-2.

Putting undergraduate medical students in AI-CDSS designers' shoes: An innovative teaching method to develop digital health critical thinking

INTRODUCTION

Digital health programs are urgently needed to accelerate the adoption of Artificial Intelligence and Clinical Decision Support Systems (AI-CDSS) in clinical settings. However, such programs are still lacking for undergraduate medical students, and new approaches are required to prepare them for the arrival of new and unknown technologies. At University Paris Cité medical school, we designed an innovative program to develop the digital health critical thinking of undergraduate medical students that consisted of putting medical students in AI-CDSS designers' shoes.

METHODS

We followed the six steps of Kern's approach for curriculum development: identification of needs, definition of objectives, design of an educational strategy, implementation, development of an assessment and design of program evaluation.

RESULTS

A stand-alone and elective AI-CDSS program was implemented for fourth-year medical students. Each session was designed from an AI-CDSS designer viewpoint, with theoretical and practical teaching and brainstorming time on a project that consisted of designing an AI-CDSS in small groups. From 2021 to 2022, 15 students were enrolled: they rated the program 4.4/5, and 80% recommended it. Seventy-four percent considered that they had acquired new skills useful for clinical practice, and 66% felt more confident with technologies. The AI-CDSS program aroused great enthusiasm and strong engagement of students: 8 designed an AI-CDSS and wrote two scientific 5-page articles presented at the Medical Informatics Europe conference; 4 students were involved in a CDSS research project; 2 students asked for a hospital internship in digital health; and 1 decided to pursue PhD training.

DISCUSSION

Putting students in AI-CDSS designers' shoes seemed to be a fruitful and innovative strategy to develop digital health skills and critical thinking toward AI technologies. We expect that such programs could help future doctors work in rapidly evolving digitalized environments and position themselves as key leaders in digital health.

Using filled prescription sequences to rank antidepressants: A nationwide replication study

Ranking antidepressants according to their acceptability (i.e., a combination of both efficacy and tolerability) in the general population may help choosing the best first-line medication. This study aimed to replicate the results of a proof-of-concept study ranking anti-depressants according to the proportion of filled prescription sequences consistent with a continuation of the first treatment versus those consistent with a change. We used a nationwide cohort from the French national health data system (SNDS) to support the use of this method as a widely available tool to rank antidepressant treatments in real life settings. About 1.2 million people were identified as new antidepressant users in the SNDS in 2011. The outcome was clinical acceptability as measured by the continuation/failure ratio over the six-month period following the introduction of the first-line treatment. Continuation was defined as at least two refills of the same treatment. Failure was defined as a psychiatric hospitalization, death or at least one filled prescription of another antidepressant, an antipsychotic medication, or a mood-stabilizer. Adjusted Odds Ratios (aOR) and 95% Confidence Interval (CI) were computed through multivariable binary logistic regressions. We ranked antidepressant medications according to clinical acceptability. Escitalopram again was the most acceptable option, and the five following antidepressants were the same as in the replication sample of the proof-of-concept study, in order Fluoxetine, Paroxetine, Sertraline, Citalopram and Venlafaxine with aOR (95% CI) for continuation ranging from 0.79 (0.77-0.81) to 0.66 (0.64-0.67). The present study provides evidence that filled prescription sequences is a widely available, robust and reproductible tool to rank antidepressant treatments in real life settings.

Risk of Death in Individuals Hospitalized for COVID-19 With and Without Psychiatric Disorders: An Observational Multicenter Study in France

Background

Prior research suggests that psychiatric disorders could be linked to increased mortality among patients with COVID-19. However, whether all or specific psychiatric disorders are intrinsic risk factors of death in COVID-19 or whether these associations reflect the greater prevalence of medical risk factors in people with psychiatric disorders has yet to be evaluated.

Methods

We performed an observational, multicenter, retrospective cohort study to examine the association between psychiatric disorders and mortality among patients hospitalized for laboratory-confirmed COVID-19 at 36 Greater Paris University hospitals.

Results

Of 15,168 adult patients, 857 (5.7%) had an ICD-10 diagnosis of psychiatric disorder. Over a mean follow-up period of 14.6 days (SD = 17.9), 326 of 857 (38.0%) patients with a diagnosis of psychiatric disorder died compared with 1276 of 14,311 (8.9%) patients without such a diagnosis (odds ratio 6.27, 95% CI 5.40-7.28, p < .01). When adjusting for age, sex, hospital, current smoking status, and medications according to compassionate use or as part of a clinical trial, this association remained significant (adjusted odds ratio 3.27, 95% CI 2.78-3.85, p < .01). However, additional adjustments for obesity and number of medical conditions resulted in a nonsignificant association (adjusted odds ratio 1.02, 95% CI 0.84-1.23, p = .86). Exploratory analyses after the same adjustments suggested that a diagnosis of mood disorders was significantly associated with reduced mortality, which might be explained by the use of antidepressants.

Conclusions

These findings suggest that the increased risk of COVID-19-related mortality in individuals with psychiatric disorders hospitalized for COVID-19 might be explained by the greater number of medical conditions and the higher prevalence of obesity in this population and not by the underlying psychiatric disease.

eOSCE stations live versus remote evaluation and scores variability

BACKGROUND

Objective structured clinical examinations (OSCEs) are known to be a fair evaluation method. These recent years, the use of online OSCEs (eOSCEs) has spread. This study aimed to compare remote versus live evaluation and assess the factors associated with score variability during eOSCEs.

METHODS

We conducted large-scale eOSCEs at the medical school of the Université de Paris Cité in June 2021 and recorded all the students' performances, allowing a second evaluation. To assess the agreement in our context of multiple raters and students, we fitted a linear mixed model with student and rater as random effects and the score as an explained variable.

RESULTS

One hundred seventy observations were analyzed for the first station after quality control. We retained 192 and 110 observations for the statistical analysis of the two other stations. The median score and interquartile range were 60 out of 100 (IQR 50-70), 60 out of 100 (IQR 54-70), and 53 out of 100 (IQR 45-62) for the three stations. The score variance proportions explained by the rater (ICC rater) were 23.0, 16.8, and 32.8%, respectively. Of the 31 raters, 18 (58%) were male. Scores did not differ significantly according to the gender of the rater (p = 0.96, 0.10, and 0.26, respectively). The two evaluations showed no systematic difference in scores (p = 0.92, 0.053, and 0.38, respectively).

CONCLUSION

Our study suggests that remote evaluation is as reliable as live evaluation for eOSCEs.

Ambient air pollution exposure and depressive symptoms: Findings from the French CONSTANCES cohort

BACKGROUND AND AIM

Few studies have reported the association between air pollution exposure with different dimensions of depression. We aimed to explore this association across different dimensions of depressive symptoms in a large population.

METHODS

Data from the enrollment phase of the French CONSTANCES cohort (2012-2020) were analyzed cross-sectionally. Annual concentrations of particulate matter with a diameter < 2.5 µm (PM_2.5), black carbon (BC), and nitrogen dioxide (NO₂) from the land-use regression models were assigned to the residential addresses of participants. Total depressive symptoms and its four dimensions (depressed affect, disturbed interpersonal relations, low positive affect, somatic complaints) were measured using Centre of Epidemiologic Studies Depression questionnaire (CES-D). We reported results of negative binomial regression models (reported as Incidence Rate Ratio (IRR) and 95 % confidence interval (CI) for an interquartile range (IQR) increase in exposure), for each pollutant separately. Stratified analyses were performed by sex, income, family status, education, and neighborhood deprivation.

RESULTS

The study included 123,754 participants (mean age, 46.50 ± 13.61 years; 52.4 % women). The mean concentration of PM_2.5, BC and NO₂ were 17.14 µg/m³ (IQR = 4.89), 1.82 10^-5/m (IQR = 0.88) and 26.58 µg/m³ (IQR = 17.41) respectively. Exposures to PM_2.5, BC and NO₂ were significantly associated with a higher CES-D total (IRR = 1.022; 95 % CI = 1.002: 1.042, IRR = 1.027; 95 % CI = 1.013: 1.040, and IRR = 1.029; 95 % CI = 1.015: 1.042 respectively), and with depressed affect, and somatic complaints. For all pollutants, a higher estimate was observed for depressed affect. We found stronger adverse associations for men, lower-income participants, low and middle education groups, those living in highly deprived areas, and single participants.

CONCLUSION

Our finding could assist the exploration of the etiological pathway of air pollution on depression and also considering primary prevention strategies in the areas with air pollution.

Physicians' and medical students' beliefs and attitudes toward psychotic disorders: A systematic review

OBJECTIVE

The aim of this study was to analyze physicians' and medical students' (MS) beliefs and attitudes toward people with psychotic disorders.

METHODS

This systematic review follows the PRISMA guidelines. It was conducted on 5 databases (Pubmed, PsycINFO, Pascal & Francis, Scopus and EMBASE) with a keyword string combining words for physicians' and students' professional status, attitudes toward people, and psychotic disorders. No limitations on publication dates were imposed.

RESULTS

This review includes 39 articles, among which quantitative studies are in the majority, and general practioners are mainly represented. Schizophrenia is the main condition used to illustrate psychotic disorders and measure stigmatizing attitudes. Physicians' and MS' beliefs toward people with psychotic disorders are mainly represented by dangerousness and unpredictability. They can be reinforced with socio-demographic criteria (age and female gender) or physicians' beliefs about the disease's etiology. The desire for social distance is higher toward patients with schizophrenia compared to other psychiatric disorders, and medical care could be impacted with a tendency to refer them at psychiatric specific care or to anticipate their difficulties and to modify their treatment plan. Stigma scores remain globally high during medical training. Even if specific anti-stigma trainings have a positive impact on beliefs and attitudes, these effects do not last in time.

CONCLUSION

This review highlights the importance to explore physicians' and medical students' representations about patient with psychosis to understand better their difficulties in the management of these patients.

Feasibility of large-scale eOSCES: the simultaneous evaluation of 500 medical students during a mock examination

The COVID-19 pandemic has led health schools to cancel many on-site training and exams. Teachers were looking for the best option to carry out online OSCEs, and Zoom was the obvious choice since many schools have used it to pursue education purposes.

METHODS

We conducted a feasibility study during the 2020-2021 college year divided into six pilot phases and the large-scale eOSCEs on Zoom on June 30th, 2021. We developed a specific application allowing us to mass create Zoom meetings and built an entire organization, including a technical support system (an SOS room and catching-up rooms) and teachers' training sessions. We assessed satisfaction via an online survey.

RESULTS

On June 30th, 531/794 fifth-year medical students (67%) participated in a large-scale mock exam distributed in 135 Zoom meeting rooms with the mobilization of 298 teachers who either participated in the Zoom meetings as standardized patients (N =135, 45%) or examiners (N =135, 45%) or as supervisors in the catching-up rooms (N =16, 6%) or the SOS room (N =12, 4%). In addition, 32/270 teachers (12%) experienced difficulties connecting to their Zoom meetings and sought the help of an SOS room member. Furthermore, 40/531 students (7%) were either late to their station or had technical difficulties and declared those issues online and were welcomed in one of the catching-up rooms to perform their eOSCE stations. Additionally, 518/531 students (98%) completed the entire circuit of three stations, and 225/531 students (42%) answered the online survey. Among them, 194/225 (86%) found eOSCES helpful for training and expressed their satisfaction with this experience.

CONCLUSION

Organizing large-scale eOSCEs on Zoom is feasible with the appropriate tools. In addition, eOCSEs should be considered complementary to on-site OSCEs and to train medical students in telemedicine.

Dog ownership and mental health among community-dwelling older adults: A systematic review

BACKGROUND

The population is ageing, and psychiatric disorders are common in older people. Those are associated with worsened quality of life. Although the positive relationship between dog ownership and physical health has been documented, data on mental health are scarcer, especially in community-dwelling older adults.

OBJECTIVE

We sought to establish whether owning a dog was associated with a lower number of symptoms of psychological disorders in community-dwelling older adults.

METHODS

We conducted a systematic review of the literature published between January 2005 and December 2020. We analysed comparative studies of the level of insomnia and symptoms of depression and/or anxiety among community-dwelling dog owners aged 70 and over.

RESULTS

The search identified 191 articles, of which 117 full texts were assessed for eligibility. Five cross-sectional studies and one before-after with control group study (assessing a total of 25,138 older adults) were included. The mean (range) NOS score (five studies) was 6.8/9 (5-9) and the EPOC score (one study) was 2/8. The association between the presence of a dog and depressive symptoms did not appear to be significant. Regular contact with a dog was associated with fewer symptoms of anxiety. None of the studies specifically examined sleep disorders.

CONCLUSIONS

Although the presence of a dog did not appear to be related to the level of depressive symptoms among community-dwelling older adults, there might be a beneficial relationship with anxiety. Further investigation is needed - especially with regard to the type of dog and the type of relationship with the dog.

Atypical working hours are associated with tobacco, cannabis and alcohol use

Background

We examined prospective associations between atypical working hours, substance use and sugar and fat consumption.

Methods

In the French population-based CONSTANCES cohort, 47,288 men and 53,324 women currently employed included between 2012 and 2017 were annually followed for tobacco and cannabis use; among them, 35,647 men and 39,767 women included between 2012 and 2016 were also followed for alcohol and sugar and fat consumption. Three indicators of atypical working hours were self-reported at baseline: working at night, weekend work and non-fixed working hours. Generalized linear models computed odds of substance use and sugar and fat consumption at follow-up according to atypical working hours at baseline while adjusting for sociodemographic factors, depression and baseline substance use if appropriate.

Results

Working at night was associated with increased tobacco use in women [odds ratios ranging from 1.45 to 1.48], with increased cannabis use in men [from 1.40 to 1.54] and with increased alcohol use in both men and women [from 1.12 to 1.14]. Weekend work and non-fixed working hours were associated with increased tobacco and alcohol use in both men and women [from 1.15 to 1.54 and 1.12 to 1.14, respectively]. Dose-dependent relationships were found regarding the association between working at night and tobacco use in women as well as regarding non-fixed working hours and tobacco use in both men and women (P for trends &lt;0.001).

Conclusions

The potential role of atypical working hours on substance use should be considered by public health policy makers and clinicians in information and prevention strategies.

Key messages

• Night shifts were associated with increased smoking in women with dose-dependent relationships, cannabis use in men and alcohol use in both.

• Weekend work and non-fixed working hours were associated with increased alcohol and tobacco use with dose-dependent relationships in men and women.

Acceptability of Second-Line Antidepressant Medications Using Filled Prescription Sequences in a Nationwide Cohort Study

Background: Although about half of patients do not respond to a first-line antidepressant medication, there is no consensus on the best second-line option. The aim of this nationwide population-based study was to rank antidepressants according to their relative acceptability (ie, efficacy and tolerability) using filled prescription sequences after failure of first treatment. Methods: About 1.2 million people were identified as new antidepressant users in the French national health data system in 2011. The inclusion criterion was having at least 2 filled prescriptions of a second-line treatment after a filled prescription of a first-line treatment, resulting in 63,726 participants. The outcome was clinical acceptability as measured by the continuation/change ratio for second-line treatment. Continuation sequence was defined as at least 2 refills of the same treatment. Change sequence was defined as at least 1 filled prescription of another antidepressant. Adjusted odds ratios (aORs) were computed through multivariable binary logistic regressions. Results: Intraclass switch had a better acceptability than interclass switch (aOR [95% CI]: 1.23 [1.20-1.28]). According to the first-line treatment, intraclass switch remained more acceptable for selective serotonin reuptake inhibitors only (1.37 [1.31-1.42]). For α₂ blockers and tricyclic agents, combination antidepressant therapy was the most acceptable second-line option (1.59 [1.27-2.01] and 2.53 [1.53-4.04], respectively), whereas for serotonin-norepinephrine reuptake inhibitors there was no significant difference between the strategies. For other antidepressants, intraclass switch had lower acceptability than interclass switch (0.70 [0.51-0.95]). Conclusions: Administrative claim databases may help with ranking acceptability of second-line treatments in real world settings and complement randomized controlled trials in informing clinicians about the most acceptable second-line options according to the first-line treatment.

Antidepressant Use and Its Association with 28-Day Mortality in Inpatients with SARS-CoV-2: Support for the FIASMA Model against COVID-19

To reduce Coronavirus Disease 2019 (COVID-19)-related mortality and morbidity, widely available oral COVID-19 treatments are urgently needed. Certain antidepressants, such as fluvoxamine or fluoxetine, may be beneficial against COVID-19. We included 388,945 adult inpatients who tested positive for SARS-CoV-2 at 36 AP−HP (Assistance Publique−Hôpitaux de Paris) hospitals from 2 May 2020 to 2 November 2021. We compared the prevalence of antidepressant use at admission in a 1:1 ratio matched analytic sample with and without COVID-19 (N = 82,586), and assessed its association with 28-day all-cause mortality in a 1:1 ratio matched analytic sample of COVID-19 inpatients with and without antidepressant use at admission (N = 1482). Antidepressant use was significantly less prevalent in inpatients with COVID-19 than in a matched control group of inpatients without COVID-19 (1.9% versus 4.8%; Odds Ratio (OR) = 0.38; 95%CI = 0.35−0.41, p < 0.001). Antidepressant use was significantly associated with reduced 28-day mortality among COVID-19 inpatients (12.8% versus 21.2%; OR = 0.55; 95%CI = 0.41−0.72, p < 0.001), particularly at daily doses of at least 40 mg fluoxetine equivalents. Antidepressants with high FIASMA (Functional Inhibitors of Acid Sphingomyelinase) activity seem to drive both associations. These treatments may reduce SARS-CoV-2 infections and COVID-19-related mortality in inpatients, and may be appropriate for prophylaxis and/or COVID-19 therapy for outpatients or inpatients.

The association of substance use with attaining employment among unemployed job seeking adults: Prospective findings from the French CONSTANCES cohort

This study aimed to examine the prospective association between tobacco, alcohol and cannabis use with attaining employment among unemployed job seekers. Data from the French population-based CONSTANCES cohort on 5114 unemployed job seeking adults enrolled from 2012 to 2018 were analyzed. Binary logistic regressions were computed. Odds ratio (OR) and 95%CI of remaining unemployed at one-year of follow-up (versus attaining employment) according to substance use at baseline were obtained. The following independent variables were introduced into separate models: tobacco use (non-smoker, former smoker, light (<10cig/day), moderate (10-19cig/day) and heavy smoker (>19cig/day)), alcohol use according to the Alcohol Use Disorder Identification Test (non-users (0), low (<7), moderate (7-15) and high or very high-risk (>15)) and cannabis use (never used, no use in the previous 12 months, less than once a month, at least once a month but less than once per week, once per week or more). Analyses were adjusted for age, gender and education. At follow-up, 2490 participants (49.7%) were still unemployed. Compared to non-smokers, moderate and heavy smokers were more likely to remain unemployed, with ORs (95%CI) of 1.33 (1.08-1.64) and 1.42 (1.04-1.93), respectively. Compared to low-risk alcohol users, no alcohol users and high or very high-risk alcohol users were more likely to remain unemployed, with ORs (95% CI) of 1.40 (1.03-1.83) and 2.10 (1.53-2.87), respectively. Compared to participants who never used cannabis, participants who use cannabis once a week or more were more likely to remain unemployed, OR (95%CI) of 1.63 (1.33-2.01). Substance use may play an important role in difficulty attaining employment.

Atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the CONSTANCES cohort

BACKGROUND

This study examined prospective associations between atypical working hours with subsequent tobacco, cannabis and alcohol use as well as sugar and fat consumption.

METHODS

In the French population-based CONSTANCES cohort, 47,288 men and 53,324 women currently employed included between 2012 and 2017 were annually followed for tobacco and cannabis use. Among them, 35,647 men and 39,767 women included between 2012 and 2016 were also followed for alcohol and sugar and fat consumption. Three indicators of atypical working hours were self-reported at baseline: working at night, weekend work and non-fixed working hours. Generalized linear models computed odds of substance use and sugar and fat consumption at follow-up according to atypical working hours at baseline while adjusting for sociodemographic factors, depression and baseline substance use when appropriate.

RESULTS

Working at night was associated with decreased smoking cessation and increased relapse in women [odds ratios (ORs) of 0.81 and 1.25], increased cannabis use in men [ORs from 1.46 to 1.54] and increased alcohol use [ORs from 1.12 to 1.14] in both men and women. Weekend work was associated with decreased smoking cessation in women [ORs from 0.89 to 0.90] and increased alcohol use in both men and women [ORs from 1.09 to 1.14]. Non-fixed hours were associated with decreased smoking cessation in women and increased relapse in men [ORs of 0.89 and 1.13] and increased alcohol use in both men and women [ORs from 1.12 to 1.19]. Overall, atypical working hours were associated with decreased sugar and fat consumption.

CONCLUSIONS

The potential role of atypical working hours on substance use should be considered by public health policy makers and clinicians in information and prevention strategies.

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OBJECTIVES

To assess the diagnosis of somatic symptom disorder (SSD) in patients with unexplained neurological symptoms occurring after SARS-CoV-2 infection, also referred to as long COVID.

DESIGN

Single-centre observational study.

PARTICIPANTS

Adult patients experiencing unexplained long-lasting neurological symptoms after mild COVID. Of the 58 consecutive patients referred in our centre, 50 were included.

INTERVENTION

Patients were contacted for a standardised psychometric evaluation by phone, followed by a self-survey.

MAIN OUTCOME

Positive diagnosis of SSD according to the criteria of the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5).

RESULTS

Although the patients did not meet the DSM-5 criteria for a functional neurological symptom disorder specifically, SSD diagnosis based on DSM-5 criteria was positive in 32 (64%) patients. In the remaining 18 patients, SSD was considered possible given the high score on diagnostic scales. Physical examination were normal for all. Brain MRI showed unspecific minor white matter hyperintensities in 8/46 patients. Neuropsychological assessment showed exclusively mild impairment of attention in 14 out of 15 tested patients, in discrepancy with their major subjective complaint. Forty-five (90%) patients met criteria for Chronic Fatigue Syndrome. Seventeen (32%) patients were screened positive for mood-anxiety disorders, 19 (38%) had a history of prior SSD and 27 (54%) reported past trauma. Additional self-survey highlighted post-traumatic stress disorder in 12/43 (28%), high levels of alexithymia traits and perfectionism. Long-lasting symptoms had a major impact with a high rate of insomnia (29/43, 67%), psychiatric follow-up (28/50, 56%) and work or pay loss (25/50, 50%).

CONCLUSION

A majority of patients with unexplained long-lasting neurological symptoms after mild COVID met diagnostic criteria for SSD and may require specific management.

TRIAL REGISTRATION NUMBER

NCT04889313.

A Comprehensive Model of Predictors of Recurrence or Persistence in Individuals With Panic Disorder: Results From a National 3-Year Prospective Study

Objective: Multiple factors may influence the risk of recurrence or persistence of panic disorder, suggesting the need to combine them into an integrative model to develop more effective prevention strategies. In this report, we sought to build a comprehensive model of the 3-year risk of recurrence or persistence in individuals with panic disorder using a longitudinal, nationally representative study, the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; Wave 1, 2001-2002; Wave 2, 2004-2005). Methods: We used structural equation modeling to simultaneously examine the effects of 5 broad groups of clinical factors previously identified as potential predictors of recurrence or persistence in adults with a past-year DSM-IV diagnosis of panic disorder (n = 775): (1) severity of panic disorder, (2) severity of comorbidity, (3) family history of psychiatric disorders, (4) sociodemographic characteristics, and (5) treatment-seeking behavior. Results: The 3-year rates of persistence and recurrence were 13.0% and 27.6%, respectively. A general psychopathology factor, representing the shared effect of all comorbid psychiatric disorders, panic disorder liability, a lower physical health-related quality of life, a greater number of stressful life events, and the absence of treatment-seeking behavior at baseline, significantly and independently predicted recurrence or persistence of symptoms between the two waves (all P < .05). Conclusions: This integrative model could help clinicians to identify individuals at high risk of recurrence or persistence of panic disorder and provide content for future research.

Early liaison psychiatry consultations and general hospital readmission: A retrospective cohort study

BACKGROUND

Readmission rates are under growing scrutiny as an indicator of quality of care as much as a potential source of savings. Patients with comorbid psychiatric conditions are more likely to be readmitted, so Consultation-Liaison Psychiatry (CLP) may play a role in lowering readmission rates.

METHOD

In this retrospective cohort study conducted in a general hospital in Paris, France, all consecutive adult inpatients referred for the first time to CLP from January 2008 to December 2016, were included. The main outcomes were 30-day and 7-day readmissions in the same hospital, excluding iterative and planned stays. The objective of this study is to determine whether the timing of psychiatric consultations is associated with 30-day and 7-day readmission rates.

RESULTS

A total of 4498 inpatients (2298(51·1%) women, age = 59·8(±19·3) years) were referred to CLP. Adjusting for age, sex, place of residence, year of admission, type of ward, psychiatric diagnosis and disease severity, later consultation was associated with higher 30-day and 7-day readmission rates (adjusted Odds Ratio [95% confidence interval]:1.21[1·10-1·33] and 1·26[1·11-3·13], respectively). Further adjusting for length of stay, the association remained significant for 7-day readmission (1.28[1·05-1·57]). After stratification on the length of stay, for stays in the highest tercile (i.e., >21 days) an intervention after day 3 (versus before) was associated with 30-day and 7-day readmission rates of 15·8% versus 8·6%(1·81 [1·11-3·13]) and 4·9% versus 1·8%(2·98[1·16-9·88]), respectively.

CONCLUSION

Earlier psychiatric consultation was associated with fewer 30-day and 7-day readmissions. Interventional studies are needed to show that proactive CLP teams could help general hospitals to improve quality of care and make significant economic savings.

Cannabis Use Increases the Risk of Sickness Absence: Longitudinal Analyses From the CONSTANCES Cohort

Aims

To examine the longitudinal associations between cannabis use and risks of short (<7 days), medium (7-28 days), and long (>28 days) sickness absences at one-year follow-up.

Methods

87,273 participants aged 18-65 years from the French CONSTANCES cohort reported their frequency of cannabis use at inclusion between 2012 and 2018. Sickness absences occurring during one year of follow-up were collected from national medico-administrative registries. Multivariable generalized linear regressions were used to compute the Odds Ratios (OR) with their 95% Confidence Intervals (CI) of having at least one sickness absence at follow-up compared to no sickness absence, while controlling for sociodemographic factors, chronic conditions and occupational factors.

Results

Cannabis use more than once a month was associated with an increased risk of short (OR, [95% CI]: 1.56 [1.32–1.83]) and medium (1.29 [1.07–1.54]) sickness absences at one-year follow-up, with dose-dependent relationships for short sickness absences (1.13 [1.08–1.18], p-for-trend <0.001). In stratified analyses, cannabis use was associated with an increased risk of sickness absences in older individuals, men, participants with good self-rated health, living or having lived as a couple, and having an open-ended contract.

Conclusions

Cannabis use prospectively increased the risk of short and medium sickness absences, even from once a month and with a dose-dependent relationship for short sickness absences. These findings should be considered in information and prevention public health campaigns to alert the general population and workers to this increased risk.

Retirement age does not modify the association of prior working conditions with self-rated health and mortality in retirees: results from a prospective study of retired French workers

OBJECTIVE

It is unclear whether retirement age can modify the association of working conditions with health and mortality in retirees who are no longer exposed to these conditions.

METHODS

The present study investigated this issue in a cohort of 13,378 French workers in whom self-rated health and mortality were measured over 15 years after statutory retirement. The analyses were also performed in homogenous clusters of workers differentiated on the basis of working conditions, social position, birth and retirement years.

RESULTS

Bad working conditions before retirement, which were assessed using a global score combining 25 different occupational exposures, were associated with higher rates of suboptimum self-rated health and mortality in retirees after adjusting for retirement age, social position, demographics and health status before retirement. These rates were also substantially higher in the cluster of workers characterized by bad working conditions in comparison to other clusters. In contrast, retirement age was not associated with self-rated health or mortality after adjusting for working conditions, social position, demographics and health status before retirement. Likewise, no association of retirement age with self-rated health or mortality was found in any cluster of workers and no interactions were observed with any of these clusters.

CONCLUSION

These results suggest that bad working conditions before retirement have long-term detrimental effects on health and mortality in retirees and that retirement age does not modulate these effects. Improving work environment rather than modifying retirement age should be prioritized to promote health and reduce mortality not only in workers but also in retirees.

The role of substance use in the risk of not getting employed among young people: Prospective findings from the CONSTANCES cohort

Introduction

It remains unclear whether substance use in youth could be associated with a lower likelihood of accessing employment.

Objectives

To examine prospectively associations between substance use and the risk of not getting employed among young people.

Methods

From the French population-based CONSTANCES cohort, 2,873 students who never worked were included between 2012 and 2018 and followed-up for 2.7 years in average. Generalized estimating equations computed the odds of being unemployed versus employed according to substance use at baseline controlling for sociodemographic factors and depressive state. Tobacco use (smoking status and number of cigarettes), cannabis use frequency, and at-risk alcohol use according to the Alcohol Use Disorder Identification Test (total score >7) were introduced separately in the models.

Results

Tobacco use wasn’t significantly associated with employment. Cannabis use at least weekly, and at-risk alcohol use, were associated with increased odds of being unemployed (OR=1.85, 95%CI(1.29, 2.64)) and OR=1.34, 95%CI(1.04, 1.71)), respectively. Additional analyses on sub-scores of alcohol use suggested that the association was mainly driven by alcohol dependence rather than frequency of use.

Conclusions

Public health campaigns must target youth by advising them of the detrimental roles of regular cannabis use and at-risk alcohol use and their lower chances of getting employed.

Disclosure

No significant relationships.

Oncologists’ beliefs about people with psychotic disorders : a qualitative study

Introduction

Cancer is the second major cause of death among people with psychotic disorders. With the same incidence, mortality in these patients remains higher than in the general population. As stigma has been identified as a risk factor for excess mortality, we focused on oncologists’ beliefs and attitudes towards people with psychotic disorders.

Objectives

The aim of this study was to uncover physicians’ representations about the impact of psychosis on oncological care.

Methods

In this qualitative study, individual semi-structured interviews were conducted with 20 physicians working in oncology in the University Hospital of Brest (France). Transcribed interviews were thematically analyzed. This study meets the COREQ criteria.

Results

Psychosis is described as a broad-spectrum condition whose severity ranges from the “mild” patient with imperceptible abnormality to the “severe” patient with cognitive and affective deficits. Oncologists identified behavioral and emotional symptoms which may modify the patient-physician relationship with difficulties to interact. Some of them consider that these patients are not interested in their health and will not get involved in oncological care. While the psychotic disorder is not considered as a limiting factor per se, oncologists felt concerned about being stigmatizing. They mentioned different aspects (like anticipation of non-compliance or inability to get help) that lead to changes in conventional treatment regimens and may result in a loss of opportunity.

Conclusions

Oncologists’ beliefs may lead to stigmatizing attitudes towards people with psychotic disorders who may not be given the best possible chances. Thus, these specific elements should be the basis for collaboration between psychiatrists and oncologists.

Disclosure

No significant relationships.

Atypical working hours are associated with substance use, especially in women: longitudinal analyses from the CONSTANCES cohort

Introduction

Difficult working conditions could be associated with addictive behaviors.

Objectives

To examine the prospective associations between atypical working hours and substance use, including sugar and fat consumption.

Methods

In the CONSTANCES cohort, a total of 47,288 men and 53,324 women currently employed were included from 2012-2017 for tobacco and cannabis outcomes, and 35,647 and 39,767, respectively from 2012-2016 for alcohol and sugar and fat outcomes, and they were then followed up annually. Atypical working hours were self-reported at baseline and considered three different indicators: night shifts, weekend work and non-fixed working hours. Generalized linear models computed odds of substance use and sugar and fat consumption at follow-up according to baseline atypical working hours while adjusting for sociodemographic factors, baseline depression and baseline level of consumption.

Results

Night shifts increased significantly the odds of using tobacco in women (Odds ratios, ORs varying from 1.55 to 1.62) and cannabis in men (ORs varying from 1.80 to 1.95). Weekend work increased the odds of using tobacco (ORs varying from 1.51 to 1.67) and alcohol (OR of 1.16) in women. Non-fixed working hours increased the odds of using tobacco and alcohol in men and women (ORs varying from 1.15 to 1.19 and 1.12 to 1.14, respectively). Dose-dependent relationships were found for tobacco use in women (P for trends<0.0001). No significant associations were found for sugar and fat consumption.

Conclusions

The role of atypical working hours on substance use should be taken into account by public health policy makers and clinicians for information and prevention strategies, especially among women.

Disclosure

Nadine Hamieh was supported by a grant from “Direction de la recherche, des études, de l’évaluation et des statistiques”, DREES, Ministry of Labour, France.

Persistent symptoms after the first wave of COVID-19 in relation to SARS-CoV-2 serology and experience of acute symptoms: A nested survey in a population-based cohort

BACKGROUND

Many patients report persistent symptoms after COVID-19. Our aim was to determine whether some of these symptoms were more associated with past SARS-CoV-2 infection compared to other conditions.

METHODS

This prospective survey was nested in CONSTANCES, a randomly selected French population-based cohort, started in 2012. All participants being followed-up by internet completed 2 questionnaires during the first wave of the pandemic focusing on the acute symptoms of their COVID-19-like illness. Serological tests for SARS-CoV-2 were then performed (May-Nov 2020). Between December 2020 and January 2021, participants completed a third questionnaire about symptoms that had lasted more than 2 months. Participants were classified into four groups according to both European Center for Diseases Control (ECDC) criteria for COVID-19 (ECDC+ or ECDC-) and serological SARS-CoV-2 test results (Sero+ or Sero-). To compare the risk of each persistent symptom among the groups, logistic regression models were adjusted for age, sex, educational level, comorbidities, and the number of acute symptoms declared during the first wave of the epidemic. A mediation analysis was performed to estimate the direct effect of the infection on persistent symptoms and its indirect effect via the initial clinical presentation.

FINDINGS

The analysis was performed in 25,910 participants. There was a higher risk of persistent dysgeusia/anosmia, dyspnea and asthenia in the ECDC+/Sero+ group than in the ECDC+/Sero- group (OR: 6.83 [4.47-10.42], 1.69 [1.07-2.6] and 1.48 [1.05-2.07], respectively). Abdominal pain, sensory symptoms or sleep disorders were at lower risk in the ECDC+/Sero+ group than in the ECDC+/Sero- group (0.51 [0.24-0.96], 0.40 [0.16-0.85], and 0.69 [0.49-0.95], respectively). The mediation analysis revealed that the association of the serological test results with each symptom was mainly mediated by ECDC symptoms (proportion mediated range 50-107%).

CONCLUSION

A greater risk of persistent dysgeusia/anosmia, dyspnea and asthenia was observed in SARS-CoV-2 infected people. The initial clinical presentation substantially drives the association of positive serological test results with persistent symptoms.

FUNDING

French National Research Agency.