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.

Self-consciousness impairments in schizophrenia with and without first rank symptoms using the moving rubber hand illusion.

INTRODUCTION: The moving rubber hand illusion allows the evaluation both the sense of body ownership and agency using visuo-motor stimulations. METHODS: We used the moving rubber hand illusion in anatomic congruence with explicit measures to compare active asynchronous and passive synchronous movements in patients diagnosed with schizophrenia with first rank symptoms (FRS) (n = 31) versus without FRS (n = 25). RESULTS: Patients with FRS are characterized by a lack of agency in active asynchronous condition. The two groups had no sense of ownership in synchronous passive condition. Using a multivariate regression model, we found an association between agency and body ownership measures in the active asynchronous condition in two groups (OR: 1.825, p < 0.001). In the passive condition, this association was only present in the group with first rank symptoms (OR: 2.04, p < 0.001). CONCLUSION: Temporal proximity and sensorimotor information are essential in the understanding of self-consciousness disorders in schizophrenia.

Parental Divorce or Death During Childhood and Adolescence and Its Association With Mental Health.

Despite the severity of the loss of a parent and the frequency of parental divorce, few studies compared their impact on mental health in the general adult population. The aim of this study was to estimate the prevalence, sociodemographic correlates, and psychiatric comorbidity of parental loss and parental divorce during childhood and adolescence. Data were drawn from the National Epidemiologic Survey on Alcohol and Related Conditions, a nationally representative sample of US adults (n = 43,093). Of the 43,093 participants, parental divorce during childhood or adolescence was reported by 5776 participants, whereas 3377 experienced parental death during childhood or adolescence. Participants reporting a history of parental divorce present a significantly higher prevalence of psychiatric disorders, particularly alcohol and drug use disorders compared with control subjects. While participants experiencing the death of a parent reported a poorer overall health, the prevalence of psychiatric disorder after 17 years of age was not significantly higher than that of the control subjects.

Postpartum blues: a predictor of postpartum depression, from the IGEDEPP Cohort.

BACKGROUND: To identify the different factors associated with postpartum blues and its association with postpartum depression, from a large French cohort. METHODS: We conducted an analysis of the Interaction Gene Environment in Postpartum Depression cohort, which is a prospective, multicenter cohort including 3310 women. Their personal (according to the Diagnostic and Statistical Manual, fifth edition [DSM-5]) and family psychiatric history, stressful life events during childhood, pregnancy, and delivery were collected. Likewise, the French version of the Maternity Blues Scale questionnaire was administered at the maternity department. Finally, these women were assessed at 8 weeks and 1 year postpartum by a clinician for postpartum depression according to DSM-5 criteria. RESULTS: The prevalence of postpartum blues in this population was 33%, and significant factors associated with postpartum blues were found as personal (aOR = 1.2) and family psychiatric history (aOR = 1.2), childhood trauma (aOR = 1.3), obstetrical factors, or events related to the newborn, as well as an experience of stressful life events during pregnancy (aOR = 1.5). These factors had a cumulative effect, with each additional factor increasing the risk of postpartum blues by 31%. Furthermore, adjustment for sociodemographic measures and history of major depressive episode revealed a significant association between postpartum blues and postpartum depression, mainly at early onset, within 8 weeks after delivery (aOR = 2.1; 95% CI = 1.6-2.7), but also at late onset (aOR = 1.4; 95% CI = 1.1-1.9), and mainly if the postpartum blues is severe. CONCLUSION: These results justify raising awareness among women with postpartum blues, including reassurance and information about postpartum depression, its symptomatology, and the need for management in case of worsening or prolongation of postpartum blues.

Modeling longitudinal relationships between sleep disturbances and depressed mood in postpartum: A cross-lagged panel design.

BACKGROUND: This short communication explores the interrelationships between depressed mood and sleep disturbances in one-year postpartum period. METHODS: Utilizing data from the Interaction of Gene and Environment of Depression during PostPartum Cohort (IGEDEPP) involving 3310 French postpartum women, we employed a cross-lagged panel model (CLPM) to analyze the relationships between these two symptoms, across three time points (immediate postpartum [<1 week after delivery], early postpartum [<2 months after delivery], and late postpartum [2 months to 1 years after delivery]). RESULTS: Depressed mood significantly influences sleep disturbances in late postpartum (ß = 0.096, z-value = 7.4; p < 0.001) but not in early postpartum (p-value = 0.9). We found no cross-lagged influence of sleep disturbances on depressed mood in early (p = 0.066) or in late postpartum (p = 0.060). Moreover, depressed mood and sleep disturbances in immediate postpartum are predictive of similar symptoms in the two other postpartum periods (between each of the three periods, p = 0.006 and p < 0.001 for depressed mood, and p = 0.039 and p < 0.001 for sleep disturbances), thus demonstrating the stability of these symptoms over time. LIMITATIONS: Although conducted with a prospectively assessed cohort, this study faces limitations due to potential methodological biases. CONCLUSIONS: This study is a pioneering analysis of mutual causal interactions between depressed mood and sleep disturbances in the postpartum period, highlighting the need for vigilant monitoring, early detection, prevention of worsen outcomes and intervention on these symptoms.

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.

Lower risk of hospitalisation for depression following hospitalisation for COVID-19 versus for another reason.

INTRODUCTION: Although hospitalisation for COVID-19 is associated with a higher post-discharge risk of mood disorders, including major depressive disorder (MDD) and bipolar disorder (BD), this risk has not been compared to that following hospitalisation for a reason other than COVID-19. METHODS: Using data from France's National Health Data System (SNDS) database, we compared patients hospitalised for mood disorders in the 12 months following COVID-19/another reason hospitalisation. RESULTS: 96,313 adult individuals were hospitalised for COVID-19, and 2,979,775 were hospitalised for another reason. In the 12 months post-discharge, 110,976 (3.83 %) patients were hospitalised for mood disorders. In unadjusted analyses, patients initially hospitalised for COVID-19 (versus another reason) were more likely to be subsequently hospitalised for a mood disorder (4.27 % versus 3.82 % versus, respectively, p < 0.0001). These patients were also more likely to have a history of mood disorders, especially depressive disorders (6.45 % versus 5.77 %, respectively, p < 0.0001). Women, older age, lower social deprivation, a history of mood disorders, longer initial hospitalisation (COVID-19 or other), and a higher level of clinical care during initial hospitalisation were all significantly associated with the risk of subsequent hospitalisation for MDD and BD. In contrast, after adjusting for all these factors, persons initially hospitalised for COVID-19 were less likely to be subsequently hospitalised for MDD (OR = 0.902 [0.870-0.935]; p < 0.0001). No difference between both groups was observed for BD. LIMITATIONS: Other reasons were not separately studied. CONCLUSIONS: After adjusting for confounding factors, initial hospitalisation for COVID-19 versus for another reason was associated with a lower risk of hospitalisation for a mood disorder.

Psychotic-like experiences are associated with physical disorders in general population: A cross-sectional study from the NESARC II.

BACKGROUND: Psychotic-like experiences (PLEs) constitute subthreshold symptoms of psychotic disorders, and belong to five distinct dimensions: Positive, Negative, Depressive, Mania and Disorganization. PLEs are associated with various psychiatric disorders. However, few studies examined their association with physical disorders. OBJECTIVE: Our aims were (1) to assess the associations between various physical disorders and PLEs in a U.S. representative sample, and (2) to examine these associations according to the five dimensions of PLEs. METHOD: We used data from the wave II (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-II), a large national sample representative of the US population (N = 34,653). Participants were assessed with the Alcohol Use Disorder and Associated Disabilities Interview Schedule 4. Twenty-two PLEs were examined. Lifetime prevalence and adjusted Odds-Ratio (aOR) reflecting the association of sixteen physical disorders (including notably metabolic conditions and heart diseases) with PLEs were calculated. RESULTS: All studied physical disorders were associated with the presence of PLEs. Particularly the presence of any physical condition, any heart disease and diabetes were more frequent in participants with at least one PLE compared with the group without any PLE (aOR = 1.74, 95% CI = 1.62-1.87, aOR = 1.44, 95% CI = 1.33-1.55 and aOR = 1.38, 95% CI = 1.24-1.54, respectively). Almost all physical disorders were associated with the five dimensions of PLEs. CONCLUSIONS: PLEs were associated with a large range of physical disorders, with a gradual dose effect. To assess PLEs in the general population could help with the screening of subjects with physical disorders.

Comparison of relative areas of interest between major depression disorder and postpartum depression.

INTRODUCTION: Postpartum depression (PPD) is defined as a major depressive disorder (MDD) beginning after childbirth. Wide debates aim to better understand PPD's specificities compared with MDD. One of the keys in differentiating PPD from MDD is to systematically study scientific "Areas Of Interest" (AOIs) of these disorders. METHODS: In November 2021, we performed an extraction and textual computational analysis of associated terms for PPD and MDD, using the biomedical database PubMed. We performed an undirected lexical network analysis to map the 150 first terms in space. Then, we used an unsupervised machine learning technique to detect word patterns and automatically cluster AOIs with a topic-modeling analysis. RESULTS: We identified 30,000 articles of the 554,724 articles for MDD and 15,642 articles for PPD. Four AOIs were detected in the MDD network: mood disorders and their treatments, risk factors, consequences and quality of life, and mental health and comorbidities. Five AOIs were detected in the PPD network: mood disorders and treatments, risk factors, consequences and child health, patient's background, and the challenges of screening. DISCUSSION AND CONCLUSION: Limitations are both methodological, in particular due to the qualitative interpretation of AOIs, and are also related to the difficult transferability of these research results to the clinical practice. The partial overlap between AOIs for MDD and for PPD suggest that the latter is a particular form of the former.

Major depressive episode and postpartum depression: A network analysis comparison on the IGEDEPP cohort.

INTRODUCTION: Major depression episode (MDE) and postpartum depression (PPD) have the same diagnosis criteria, but dissimilarities may be present regarding the frequency and structure of depressive symptoms. METHODS: We used data from the IGEDEPP Cohort (France) to examine DSM-5 depressive symptoms in two groups of women: 486 with PPD and 871 with a history of non-perinatal MDE. We compare (i) the frequency of each depressive symptom adjusted for the severity of depression, (ii) the global structure of depressive symptom networks, and (iii) the centrality of each symptom in the two networks. RESULTS: Women with PPD were significantly more likely to have appetite disturbance, psychomotor symptoms, and fatigue than those with MDE, while sadness, anhedonia, sleep disturbance, and suicidal ideation were significantly less common. There were no significant differences in the global structure of depressive symptoms of MDE and PPD. However, the most central criterion of the MDE network was "Sadness" while it was "Suicidal ideations" for the PPD network. "Sleep" and "Suicidal ideations" criteria were more central for PPD network, whereas "Culpability" was more important for MDE network than for PPD network. CONCLUSION: We found differences in depressive symptoms expression between PPD and MDE, which justify continuing to clinically distinguish PPD from MDE.

Psychotic-like experiences in general population: Psychiatric comorbidity and impact on quality of life across lifespan.

BACKGROUND AND HYPOTHESIS: In this study, we aimed to determine the prevalence of Psychotics-Like Experiences according to age group and their association with psychiatric disorders through these different age-group, as well as their impact on quality of life. STUDY DESIGN: Using data from the second wave of the NESARC, a large general population study, we considered 6 mutually exclusive groups according to the age at the interview: 20-29 years; 30-39 years; 40-49 years; 50-59 years; 60-69 years; 70+ years. We determined the frequency of PLEs defined as positive, negative, depressive, mania and disorganization symptoms with reference to the PANSS, and the association between the presence of PLEs in the previous year and the presence of lifetime psychiatric disorders and quality of life across different age groups. STUDY RESULTS: The prevalence of PLEs decreased across age from a 34.7 % in the 20-29 years age group, to 19.7 % in the 70+ years age group. Across all age groups, individuals who reported PLEs in the previous year had higher risk of having any psychiatric disorder, (i.e any mood disorder, any anxiety disorder any substance abuse and any personality disorder) compared to individuals not reporting PLEs. All dimensions of quality of life on the SF12 scale were negatively associated with the presence of a PLE regardless of age group. CONCLUSION: We found that the frequency of PLEs decreased with age and that the presence of PLE is associated with psychiatric disorders and with impaired quality of life in all age groups.

The association of stroke with mental and physical disorders in US adults: A nationally representative study.

Stroke has been linked to various physical and mental disorders, with both stroke and its comorbidities significantly impacting public health. In this population-based study, we evaluate the relationships between stroke, physical conditions, mental disorders, and their effect on quality of life. Data were gathered from a nationally representative sample of 36,309 civilian participants aged 18 years and older in the National Epidemiologic Survey on Alcohol and Related Conditions-III. We examined the prevalence of past-year stroke, its sociodemographic characteristics, and its associations with past-year mental disorders (according to the DSM-5) and physical conditions. Furthermore, we explored the connections between stroke and health-related quality of life, accounting for comorbidities. The past 12-month stroke prevalence was estimated at 0.82%. Participants with stroke exhibited a significantly higher past 12-month mental disorder prevalence than those without stroke. Specifically, individuals with stroke faced a higher risk of mood disorders, anxiety disorders, tobacco use disorder, and opioid use disorder compared to those without stroke. Stroke was also positively associated with 24 out of the 27 physical conditions assessed in this study. Participants with stroke experienced lower mental and physical quality of life compared to those without stroke. Stroke was significantly related to numerous mental and physical disorders. The association of stroke with diminished health-related quality of life was not only mediated by these comorbidities but should also be considered as inherently linked to stroke itself.

Risk of Hypertensive Disorders of Pregnancy in Women Treated With Serotonin-Norepinephrine Reuptake Inhibitors: A Comparative Study Using the EFEMERIS Database.

Background: Among antidepressants, serotonin-norepinephrine reuptake inhibitors (SNRIs) are particularly expected to increase the risk of hypertensive disorders of pregnancy (HDP) with regard to their biological mechanism. We aimed to evaluate the association between prenatal exposure to SNRI and HDP.Methods: In EFEMERIS, a French database including pregnant women covered by the French Health Insurance System of Haute-Garonne (2004-2019), we compared the incidence of HDP among women exposed to SNRI monotherapy during the first trimester of pregnancy to the incidence among 2 control groups: (1) women exposed to selective serotonin reuptake inhibitor (SSRI) monotherapy during the first trimester and (2) women not exposed to antidepressants during pregnancy. We conducted crude and also multivariate logistic regressions.Results: Of the 156,133 pregnancies, 143,391 were included in the study population, including 210 (0.1%) in the SNRI group, 1,316 (0.9%) in the SSRI group, and 141,865 (98.9%) in the unexposed group. After adjustment for depression severity and other mental conditions, the risk of HDP was significantly higher among women exposed to SNRIs (n = 20; 9.5%) compared to women exposed to SSRIs (n = 72; 5.5%; adjusted odds ratio [aOR] [95% CI] = 2.32 [1.28-4.20]) and to unexposed women (n = 6,224; 4.4%; aOR [95% CI] = 1.89 [1.13-3.18]).Conclusion: This study indicated an increased risk of HDP in women treated with SNRIs versus women treated with SSRIs.

Mental health of pregnant women during the SARS-CoV-2 pandemic in France: Evolution of self-perceived psychological state during the first lockdown, and anxiety frequency two months after the lockdown ended.

Previous pandemics and related lockdowns have had a deleterious impact on pregnant women's mental health. We studied the impact of the SARS-CoV-2/Covid-19 pandemic and France's first lockdown on pregnant women's mental health. A cross-sectional study was conducted in July 2020 using a web-questionnaire completed by 500 adult women who were pregnant during the first lockdown in France (March-May 2020). Questions focused on their self-perceived psychological state and affects they felt before and during the lockdown and anxiety symptomatology (HAD) two months after it ended. A robust variance Poisson regression model was used to estimate adjusted prevalence ratios (aPR) for anxiety and self-perceived psychological state evolution. One in five respondents (21.1%) reported psychological deterioration during lockdown. Associated determinants were: i) little or no social support (self-perceived) (aRP = 1.77, 95%CI[1.18-2.66]), ii) increased workload (1.65, [1.02-2.66]), and iii) poor/moderate knowledge about SARS-CoV-2 transmission (1.60, [1.09-2.35]). Seven percent of women reporting psychological deterioration had access to professional psychological support during lockdown, while 19% did not despite wanting it. Women reported heightened powerlessness (60.3%), frustration (64%) and fear (59.2%) during lockdown. One in seven respondents (14.2%, 95%CI[10.9-18.2]) had anxiety symptoms. Determinants associated: i) at least one pregnancy-related pathology (aPR = 1.82, 95%CI[1.15-2.88]), ii) overweightness or obesity (1.61, [1.07-2.43]), iii) one child under the age of six years in the household during the lockdown (3.26, [1.24-8.53]), iv) little or no social support (self-perceived) during the lockdown (1.66, [1.07-2.58]), v) friend or relatives diagnosed with Covid-19 or with symptoms of the disease (1.66; [1.06-2.60]), vi) no access to medication for psychological distress (2.86, [1.74-4.71]), and vii) unsuccessfully seeking exchanges with healthcare professionals about their pregnancy during the pandemic (1.66, [1.08-2.55]). Our results can guide prevention and support policies for pregnant women during pandemics, current or future, with or without lockdowns. Preventing perinatal mental health problems is essential to ensure a supportive environment for the child's development.

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.

Toward recovery-oriented perinatal healthcare: A participatory qualitative exploration of persons with lived experience and health providers' views and experiences.

BACKGROUND: Perinatal mental health disorders (PMHD) remain often undetected, undiagnosed, and untreated with variable access to perinatal mental health care (PMHC). To guide the design of optimal PMHC (i.e., coproduced with persons with lived experience [PLEs]), this qualitative participatory study explored the experiences, views, and expectations of PLEs, obstetric providers (OP), childcare health providers (CHPs), and mental health providers (MHPs) on PMHC and the care of perinatal depression. METHODS: We conducted nine focus groups and 24 individual interviews between December 2020 and May 2022 for a total number of 84 participants (24 PLEs; 30 OPs; 11 CHPs; and 19 MHPs). The PLEs group included women with serious mental illness (SMI) or autistic women who had contact with perinatal health services. We recruited PLEs through social media and a center for psychiatric rehabilitation, and health providers (HPs) through perinatal health networks. We used the inductive six-step process by Braun and Clarke for the thematic analysis. RESULTS: We found some degree of difference in the identified priorities between PLEs (e.g., personal recovery, person-centered care) and HPs (e.g., common culture, communication between providers, and risk management). Personal recovery in PMHD corresponded to the CHIME framework, that is, connectedness, hope, identity, meaning, and empowerment. Recovery-supporting relations and peer support contributed to personal recovery. Other factors included changes in the socio-cultural conception of the peripartum, challenging stigma (e.g., integrating PMH into standard perinatal healthcare), and service integration. DISCUSSION: This analysis generated novel insights into how to improve PMHC for all users including those with SMI or autism.

Hospitalization for COVID-19 is associated with a higher risk of subsequent hospitalization for psychiatric disorders: A French nationwide longitudinal study comparing hospitalizations for COVID-19 and for other reasons.

INTRODUCTION: Although COVID-19 has been associated with psychiatric symptoms in patients, no study to date has examined the risk of hospitalization for psychiatric disorders after hospitalization for this disease. OBJECTIVE: We aimed to compare the proportions of hospitalizations for psychiatric disorders in the 12 months following either hospitalization for COVID-19 or hospitalization for another reason in the adult general population in France during the first wave of the current pandemic. METHODS: We conducted a retrospective longitudinal nationwide study based on the national French administrative healthcare database. RESULTS: Among the 2,894,088 adults hospitalized, 96,313 (3.32%) were admitted for COVID-19. The proportion of patients subsequently hospitalized for a psychiatric disorder was higher for COVID-19 patients (11.09 vs. 9.24%, OR = 1.20 95%CI 1.18-1.23). Multivariable analyses provided similar results for a psychiatric disorder of any type and for psychotic and anxiety disorders (respectively, aOR = 1.06 95%CI 1.04-1.09, aOR = 1.09 95%CI 1.02-1.17, and aOR = 1.11 95%CI 1.08-1.14). Initial hospitalization for COVID-19 in intensive care units and psychiatric history were associated with a greater risk of subsequent hospitalization for any psychiatric disorder than initial hospitalization for another reason. DISCUSSION: Compared with hospitalizations for other reasons, hospitalizations for COVID-19 during the first wave of the pandemic in France were associated with a higher risk of hospitalization for a psychiatric disorder during the 12 months following initial discharge. This finding should encourage clinicians to increase the monitoring and assessment of psychiatric symptoms after hospital discharge for COVID-19, and to propose post-hospital care, especially for those treated in intensive care.

Sadness and the continuum from well-being to depressive disorder: Findings from a representative US population sample.

OBJECTIVE: Sadness is a common symptom in the general population. We tested the hypothesis that sadness is an intermediate state on a continuum from well-being to major depressive disorder (MDD). METHODS: Using data from The National Epidemiologic Study of Alcohol and Related Conditions III (NESARC-III), a large and representative US population sample, we assessed the prevalence of sadness, its sociodemographic and clinical correlates, using three non-overlapping groups: (i) non-depressed sad participants, (ii) non-sad non-depressed participants and (iii) depressed participants. We estimated sensitivity and specificity of sadness. RESULTS: Sadness was frequent in the general population 34.3%), and present in almost all participants with MDD (99.6%). Sad (N = 4593) and MDD participants (N = 4593) and 7889 respectively) shared common sociodemographic characteristics. Compared to controls, sad and MDD participants presented more psychiatric disorders, including anxiety, substance use, psychotic, eating and personality disorders. Sadness was an intermediate state, sad individuals reporting more psychiatric disorders than controls, but less than participants with MDD. Sadness demonstrated a very high sensitivity (99.6%), with a good specificity (83.8%) for MDD. LIMITATIONS: The NESARC assessed sadness over lifetime, which may involve memorization bias. CONCLUSION: Our study confirms the existence of a depressive continuum. Sadness is frequent in general population, and shares correlates with MDD. We have also shown a continuum where sadness is an intermediate state between well-being and psychiatric disorders. With high sensitivity and specificity, sadness appears as a clear MDD prodrome and at-risk state, and may be a symptom of a transdiagnostic distress process.

Childhood Trauma and Perinatal Depression: Data From the IGEDEPP Cohort.

Background: Childhood trauma (CT) is associated with an increased risk of major depressive disorder, but little is known about the impact of CT on depression during pregnancy and the early and late postpartum period. The present study assesses whether CT is associated with perinatal depression, considering different types of CT.Methods: This study used data from the Interaction of Gene and Environment of Depression in PostPartum (IGEDEPP), a French multicenter prospective cohort study, including 3,252 women who completed the Childhood Trauma Questionnaire at the maternity department between November 2011 and June 2016. Depression during pregnancy was assessed retrospectively at the maternity department using DSM-5 criteria. Early- and late-onset postpartum depression were assessed at 2 months and 1 year postpartum, respectively.Results: Among the 3,252 women, 298 (9.2%) reported at least 1 CT. Women with CT had a higher risk of depression (OR = 2.2; 95% CI, 1.7-2.7), anxiety (OR = 2.3; 95% CI, 1.7-3.0), and suicide attempts (OR = 5.4; 95% CI, 3.5-8.4) than women without CT. Perinatal depression was more frequent in women with CT than in women without CT, after adjustment for sociodemographic characteristics and personal history of major depressive episode and consideration of the timing of onset (pregnancy, early or late postpartum) (P < .001). There was a dose effect between the number of CT types and the risk of perinatal depression.Conclusions: These results show that CT is associated with a depressive episode during adulthood, specifically in the perinatal period. These findings may lead to special prenatal care for women abused or neglected during childhood, to better screen and treat perinatal depression.Trial registration: ClinicalTrials.gov identifier: NCT01648816.