The sleep-circadian interface: A window into mental disorders.

Sleep, circadian rhythms, and mental health are reciprocally interlinked. Disruption to the quality, continuity, and timing of sleep can precipitate or exacerbate psychiatric symptoms in susceptible individuals, while treatments that target sleep-circadian disturbances can alleviate psychopathology. Conversely, psychiatric symptoms can reciprocally exacerbate poor sleep and disrupt clock-controlled processes. Despite progress in elucidating underlying mechanisms, a cohesive approach that integrates the dynamic interactions between psychiatric disorder with both sleep and circadian processes is lacking. This review synthesizes recent evidence for sleep-circadian dysfunction as a transdiagnostic contributor to a range of psychiatric disorders, with an emphasis on biological mechanisms. We highlight observations from adolescent and young adults, who are at greatest risk of developing mental disorders, and for whom early detection and intervention promise the greatest benefit. In particular, we aim to a) integrate sleep and circadian factors implicated in the pathophysiology and treatment of mood, anxiety, and psychosis spectrum disorders, with a transdiagnostic perspective; b) highlight the need to reframe existing knowledge and adopt an integrated approach which recognizes the interaction between sleep and circadian factors; and c) identify important gaps and opportunities for further research.

Symptoms of mental disorders and oral contraception use: A systematic review and meta-analysis.

Worldwide, over 150 million adolescent and adult women use oral contraceptives (OC). An association between OC-use and the emergence of symptoms of mental disorders has been suggested. This systematic review and meta-analysis provide an overview of published research regarding symptoms of mental disorders in association with OC-use, factoring the influence of OC types, age of first-use, duration of OC-intake, and previous diagnoses of mental disorders. A systematic literature search was conducted between June-July 2022. 22 studies were included. While most found no significant OC-use effects on mental symptoms, some hinted at OCs as a potential risk. The existing evidence regarding the potential link between progestin-only OC-use and an elevated risk of mental symptoms in comparison to combined OC-use remains inconclusive. However, due to emerging indications suggesting that the formulation of OC might play a role in mental health outcomes, this topic warrants further investigation. Moreover, indications of an increased risk for depressive symptoms in adolescent OC-users should be noted. Hence, while general population effects seem unlikely, they cannot be completely disregarded. The decision on OC-use should depend on the patient's medical history and should be re-evaluated regularly.

Structural Fingerprinting of the Frontal Aslant Tract: Predicting Cognitive Control Capacity and Obsessive-Compulsive Symptoms.

White matter of the human brain is influenced by common genetic variations and shaped by neural activity-dependent experiences. Variations in microstructure of cerebral white matter across individuals and even across fiber tracts might underlie differences in cognitive capacity and vulnerabilities to mental disorders. The frontoparietal and cingulo-opercular networks of the brain constitute the central system supporting cognitive functions, and functional connectivity of these networks has been used to distinguish individuals known as "functional fingerprinting." The frontal aslant tract (FAT) that passes through the two networks has been implicated in executive functions. However, whether FAT can be used as a "structural fingerprint" to distinguish individuals and predict an individual's cognitive function and dysfunction is unknown. Here we investigated the fingerprinting property of FAT microstructural profiles using three independent diffusion MRI datasets with repeated scans on human participants including both females and males. We found that diffusion and geometric profiles of FAT can be used to distinguish individuals with a high accuracy. Next, we demonstrated that fractional anisotropy in different FAT segments predicted distinct cognitive functions, including working memory, inhibitory control, and relational reasoning. Finally, we assessed the contribution of altered FAT microstructural profiles to cognitive dysfunction in unmedicated patients with obsessive-compulsive disorders. We found that the altered microstructure in FAT was associated with the severity of obsessive-compulsive symptoms. Collectively, our findings suggest that the microstructural profiles of FAT can identify individuals with a high accuracy and may serve as an imaging marker for predicting an individual's cognitive capacity and disease severity.SIGNIFICANCE STATEMENT The frontoparietal network and cingulo-opercular network of the brain constitute a dual-network architecture for human cognitive functions, and functional connectivity of these two networks can be used as a "functional fingerprint" to distinguish individuals. However, the structural underpinnings of these networks subserving individual heterogeneities in their functional connectivity and cognitive ability remain unknown. We show here that the frontal aslant tract (FAT) that passes through the two networks distinguishes individuals with a high accuracy. Further, we demonstrate that the diffusion profiles of FAT predict distinct cognitive functions in healthy subjects and are associated with the clinical symptoms in patients with obsessive-compulsive disorders. Our findings suggest that the FAT may serve as a unique structural fingerprint underlying individual cognitive capability.

Higher Risk of Mental Illness in Patients With Diagnosed and Untreated Unruptured Intracranial Aneurysm: Findings From a Nationwide Cohort Study.

BACKGROUND: We aimed to investigate the association between a diagnosis of untreated unruptured intracranial aneurysms (UIAs) and the development of mental illness. METHODS: This retrospective, propensity-score-matched cohort study was based on the nationwide South Korean database. The UIA diagnosis group included participants newly diagnosed with UIA between 2011 and 2019. For a well-matched control group, patients diagnosed with an acute upper respiratory infection but without UIA during the same period were selected through 1:4 matching based on propensity scores, which were calculated using age, sex, economic status, and comorbidities. The study's outcome measure encompassed the incidence of mental illnesses over a 10-year period, using International Classification of Diseases-Tenth Revision codes for anxiety, stress, depressive, bipolar, and eating disorders, insomnia, and alcohol or drug misuse. RESULTS: After propensity score matching, 85 438 participants with untreated UIAs (50.75% male; average age, 56.41 [±13.82] years; follow-up, 4.21 [±2.56] years) and 331 123 controls (49.44% males; average age, 56.69 [±12.92] years; follow-up, 7.48 [±2.12] years) were compared. Incidence rate of mental illness was higher in the UIA group (113.07 versus 90.41 per 1000 person-years; hazard ratio, 1.104 [95% CI, 1.089-1.119]). The risk of mental illness varied slightly by sex (males: hazard ratio, 1.131 [95% CI, 1.108-1.155]; females: hazard ratio, 1.082 [95% CI, 1.063-1.103]). Hazard ratios showed a U-shaped relationship with age, peaking in younger age groups, decreasing in middle-aged groups, and slightly increasing in older age groups, especially in patients with severe mental illness receiving psychotherapy. CONCLUSIONS: Our findings indicate a higher risk of mental illness in patients with UIA diagnosis in specific demographic groups, suggesting a possible psychological burden associated with UIAs. Clinicians treating cerebral aneurysms should be aware that the psychological burden caused by the diagnosis of UIA itself could contribute to mental illness and strive to provide comprehensive care for these patients.

Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophrenia.

Accurate diagnosis of mental disorders is expected to be achieved through the identification of reliable neuroimaging biomarkers with the help of cutting-edge feature selection techniques. However, existing feature selection methods often fall short in capturing the local structural characteristics among samples and effectively eliminating redundant features, resulting in inadequate performance in disorder prediction. To address this gap, we propose a novel supervised method named local-structure-preservation and redundancy-removal-based feature selection (LRFS), and then apply it to the identification of meaningful biomarkers for schizophrenia (SZ). LRFS method leverages graph-based regularization to preserve original sample similarity relationships during data transformation, thus retaining crucial local structure information. Additionally, it introduces redundancy-removal regularization based on interrelationships among features to exclude similar and redundant features from high-dimensional data. Moreover, LRFS method incorporates l2,1 sparse regularization that enables selecting a sparse and noise-robust feature subset. Experimental evaluations on eight public datasets with diverse properties demonstrate the superior performance of our method over nine popular feature selection methods in identifying discriminative features, with average classification accuracy gains ranging from 1.30 % to 9.11 %. Furthermore, the LRFS method demonstrates superior discriminability in four functional magnetic resonance imaging (fMRI) datasets from 708 healthy controls (HCs) and 537 SZ patients, with an average increase in classification accuracy ranging from 1.89 % to 9.24 % compared to other nine methods. Notably, our method reveals reproducible and significant changes in SZ patients relative to HCs across the four datasets, predominantly in the thalamus-related functional network connectivity, which exhibit a significant correlation with clinical symptoms. Convergence analysis, parameter sensitivity analysis, and ablation studies further demonstrate the effectiveness and robustness of our method. In short, our proposed feature selection method effectively identifies discriminative and reliable features that hold the potential to be biomarkers, paving the way for the elucidation of brain abnormalities and the advancement of precise diagnosis of mental disorders.

Mental health conditions in patients with systemic lupus erythematosus: A systematic review and meta-analysis.

OBJECTIVES: The reported prevalence of mental health conditions (MHCs) in people with systemic lupus erythematosus (SLE) ranges widely. Whether MHCs are associated with increased risk of SLE or the outcomes of the disease is unclear. This paper aimed to conduct an umbrella and updated meta-analysis of MHCs in people with SLE and to identify whether MHCs are associated with the risk of SLE or patient outcomes. METHODS: We comprehensively searched PubMed, Web of Science, and Embase databases to identify relevant studies published before June 2023. Random-effect models were used to calculate the pooled prevalence and risk ratios for each MHC. RESULTS: 203 studies with 1485094 individuals were included. The most MHCs observed in patients with SLE were sleep disturbance (59.7% [95% CI, 52.4%-66.8%]) among adults and cognitive dysfunction (63.4% [95% CI, 46.9%-77.9%]) among children. We found that depressive disorders (RR = 2.30, 95% CI = 1.94-2.75) and posttraumatic stress disorder (RR = 1.93, 95% CI = 1.61-2.31) in the general population were significantly associated with an increased likelihood of developing SLE. Furthermore, concurrent MHCs were linked to unfavorable outcomes in patients with SLE, such as decreased quality of life, increased risk of unemployment, and other somatic comorbidities. CONCLUSION: Our study demonstrated a high prevalence of MHCs among patients with SLE. Individuals with pre-existing mental disorders exhibited an elevated susceptibility to developing SLE, and patients presenting with MHCs were at increased risk of experiencing suboptimal health and functional outcomes. Therefore, evaluating and preventing MHCs should be considered as an integral component of the comprehensive treatment strategy for SLE.

Racial disparities influence access and outcomes in talking therapies.

The National Health Service Race and Health Observatory provides an evidence-based approach to tackling racial disparities in health and making policy recommendations. Its Mental Health Advisory Group is responsible for commissioning research into racial and ethnic disparities in mental health, and in this regard, improving access to psychological therapies became a key focus.

Interventions targeting social determinants of mental disorders and the Sustainable Development Goals: a systematic review of reviews.

Globally, mental disorders account for almost 20% of disease burden and there is growing evidence that mental disorders are socially determined. Tackling the United Nations Sustainable Development Goals (UN SDGs), which address social determinants of mental disorders, may be an effective way to reduce the global burden of mental disorders. We conducted a systematic review of reviews to examine the evidence base for interventions that map onto the UN SDGs and seek to improve mental health through targeting known social determinants of mental disorders. We included 101 reviews in the final review, covering demographic, economic, environmental events, neighborhood, and sociocultural domains. This review presents interventions with the strongest evidence base for the prevention of mental disorders and highlights synergies where addressing the UN SDGs can be beneficial for mental health.

Decision making capacity for treatment in psychiatric inpatients: a systematic review and meta-analysis.

Decision-making capacity (DMC) among psychiatric inpatients is a pivotal clinical concern. A review by Okai et al. (2007) suggested that most psychiatric inpatients have DMC for treatment, and its assessment is reliable. Nevertheless, the high heterogeneity and mixed results from other studies mean there is considerable uncertainty around this topic. This study aimed to update Okai's research by conducting a systematic review with meta-analysis to address heterogeneity. We performed a systematic search across four databases, yielding 5351 results. We extracted data from 20 eligible studies on adult psychiatric inpatients, covering DMC assessments from 2006 to May 2022. A meta-analysis was conducted on 11 papers, and a quality assessment was performed. The study protocol was registered on PROSPERO (ID: CRD42022330074). The proportion of patients with DMC for treatment varied widely based on treatment setting, the specific decision and assessment methods. Reliable capacity assessment was feasible. The Mini-Mental State Examination (MMSE), Global Assessment of Function (GAF), and Brief Psychiatric Rating Scale (BPRS) predicted clinical judgments of capacity. Schizophrenia and bipolar mania were linked to the highest incapacity rates, while depression and anxiety symptoms were associated with better capacity and insight. Unemployment was the only sociodemographic factor correlated with incapacity. Assessing mental capacity is replicable, with most psychiatric inpatients able to make treatment decisions. However, this capacity varies with admission stage, formal status (involuntary or voluntary), and information provided. The severity of psychopathology is linked to mental capacity, though detailed psychopathological data are limited.

Hospital-treated bipolar disorder in adolescence in Finland 1980-2010: Rehospitalizations, diagnostic stability, and mortality.

AIMS: Estimates of the occurrence of bipolar disorder among adolescents vary from country to country and from time to time. Long delays from first symptoms to diagnosis of bipolar disorder have been suggested. Studies among adults suggest increased mortality, particularly due to suicide and cardiovascular diseases. We set out to study the prognosis of adolescent onset bipolar disorder in terms of rehospitalizations, diagnostic stability, and mortality. METHODS: The study comprised a register-based follow-up of all adolescents admitted to psychiatric inpatient care for the first time in their lives at age 13-17 during the period 1980-2010. They were followed up in the National Care Register for Health Care and Causes of death registers until 31 December 2014. RESULTS: Incidence of bipolar disorder among 13- to 17-year-old adolescents over the whole study period was 2.8 per 100, 000 same aged adolescents, and across decades, the incidence increased six-fold. Patients with bipolar disorder during their first-ever inpatient treatment were rehospitalized more often than those treated for other reasons. Conversion from bipolar disorder to other diagnoses was far more common than the opposite. Mortality did not differ between those firstdiagnosed with bipolar disorder and those treated for other reasons. CONCLUSION: The incidence of adolescent onset bipolar disorder has increased across decades. The present study does not call for attention to delayed diagnosis of bipolar disorder. Adolescent onset bipolar disorders are severe disorders that often require rehospitalization, but diagnostic stability is modest. Mortality is comparable to that in other equally serious disorders.

Association of Alcohol Use with COVID-19 Infection and Hospitalization Among People Living with HIV in the United States, 2020.

Alcohol use was associated with elevated COVID-19 risk in the general population. People with HIV (PWH) have high prevalences of alcohol use. To evaluate the effect of alcohol use on COVID-19 risks among PWH, we estimated the risk of COVID-19 diagnosis and COVID-19-related hospitalization among PWH in routine care at 8 HIV primary care centers that contributed data to the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) cohort according to their alcohol use just prior to the COVID-19 pandemic. The CNICS data repository includes demographic characteristics, clinical diagnoses, and laboratory test results from electronic medical records and other sources. Alcohol use, substance use, and mental health symptoms were self-reported on tablet-based standardized surveys. Alcohol use was categorized according to standard, sex-specific Alcohol Use Disorder Identification Test-Consumption instrument cut-offs. We followed 5,496 PWH (79% male, 48% Black race, median age = 53 years) from March 1, 2020 to December 31, 2020. Relative to PWH with no baseline alcohol use, the adjusted hazard ratio (aHR) of COVID-19 diagnosis was 1.09 (95% confidence interval [CI]: 0.78, 1.51) for lower-risk drinking and 1.19 (95%CI: 0.81, 1.73) for unhealthy drinking. The aHR of COVID-19-related hospitalization was 0.82 (95%CI: 0.33, 1.99) for lower-risk drinking and 1.25 (95%CI: 0.50, 3.09) for unhealthy drinking. Results were not modified by recent cocaine or non-prescribed opioid use, depressive symptoms, or diagnoses of alcohol use disorder. The study suggested a slightly increased, but not statistically significant risk of COVID-19 diagnosis and hospitalization associated with unhealthy alcohol use.

Examining the mental health services among people with mental disorders: a literature review.

BACKGROUND: Mental disorders are a significant contributor to disease burden. However, there is a large treatment gap for common mental disorders worldwide. This systematic review summarizes the factors associated with mental health service use. METHODS: PubMed, Scopus, and the Web of Science were searched for articles describing the predictors of and barriers to mental health service use among people with mental disorders from January 2012 to August 2023. The initial search yielded 3230 articles, 2366 remained after removing duplicates, and 237 studies remained after the title and abstract screening. In total, 40 studies met the inclusion and exclusion criteria. RESULTS: Middle-aged participants, females, Caucasian ethnicity, and higher household income were more likely to access mental health services. The use of services was also associated with the severity of mental symptoms. The association between employment, marital status, and mental health services was inconclusive due to limited studies. High financial costs, lack of transportation, and scarcity of mental health services were structural factors found to be associated with lower rates of mental health service use. Attitudinal barriers, mental health stigma, and cultural beliefs also contributed to the lower rates of mental health service use. CONCLUSION: This systematic review found that several socio-demographic characteristics were strongly associated with using mental health services. Policymakers and those providing mental health services can use this information to better understand and respond to inequalities in mental health service use and improve access to mental health treatment.

Developing a prediction model to identify people with severe mental illness without regular contact to their GP - a study based on data from the Danish national registers.

INTRODUCTION: People with severe mental illness (SMI) face a higher risk of premature mortality due to physical morbidity compared to the general population. Establishing regular contact with a general practitioner (GP) can mitigate this risk, yet barriers to healthcare access persist. Population initiatives to overcome these barriers require efficient identification of those persons in need. OBJECTIVE: To develop a predictive model to identify persons with SMI not attending a GP regularly. METHOD: For individuals with psychotic disorder, bipolar disorder, or severe depression between 2011 and 2016 (n = 48,804), GP contacts from 2016 to 2018 were retrieved. Two logistic regression models using demographic and clinical data from Danish national registers predicted severe mental illness without GP contact. Model 1 retained significant main effect variables, while Model 2 included significant bivariate interactions. Goodness-of-fit and discriminating ability were evaluated using Hosmer-Lemeshow (HL) test and area under the receiver operating characteristic curve (AUC), respectively, via cross-validation. RESULTS: The simple model retained 11 main effects, while the expanded model included 13 main effects and 10 bivariate interactions after backward elimination. HL tests were non-significant for both models (p = 0.50 for the simple model and p = 0.68 for the extended model). Their respective AUC values were 0.789 and 0.790. CONCLUSION: Leveraging Danish national register data, we developed two predictive models to identify SMI individuals without GP contact. The extended model had slightly better model performance than the simple model. Our study may help to identify persons with SMI not engaging with primary care which could enhance health and treatment outcomes in this group.

Age of migration and common mental disorders among migrants in early adulthood: a Norwegian registry study.

BACKGROUND: Younger age of migration is associated with higher risk of psychotic disorders but the relationship between age of migration and common mental disorders is less clear. This study investigates the association between age of migration and diagnosed common mental disorders among migrants living in Norway. METHODS: Using national Norwegian register data from 2008 to 2019, we compared the odds of a common mental disorder diagnosis in healthcare services during early adulthood among non-migrants, descendants and migrants with different ages of migration and lengths of stay. We also investigated differences in the relationship for different migrant groups and for men and women. RESULTS: Descendants and childhood migrants with ≥ 19 years in Norway had higher odds of common mental disorders than non-migrants, while those migrating during adolescence with ≥ 19 years in Norway had similar odds. Those migrating during emerging and early adulthood had lower odds. Overall among migrants, the relationship between age of migration and common mental disorders was more pronounced for migrants < 19 years in Norway than ≥ 19 years and for non-refugees compared with refugees, especially men. CONCLUSIONS: Descendants and childhood migrants with long stays may have higher odds of common mental disorders due to the associated stress of growing up in a bicultural context compared with non-migrants. Age of migration has a negative association with diagnosed common mental disorders but much of this effect may attenuate over time. The effect appears weaker for refugees, and particularly refugee men, which may reflect higher levels of pre-migration trauma and stress associated with the asylum-seeking period for those arriving as adults. At the same time, migrants, especially those arriving as adults, experience barriers to care. This could also explain the particularly low odds of diagnosed common mental disorders among adult migrants, especially those with shorter stays.

Distinct impulsivity profiles in subtypes of violence among community-dwelling patients with severe mental disorders: a longitudinal study.

BACKGROUND: Although only a few patients with severe mental disorders (SMD) can commit violent behaviour in the community, violent behaviour aggravates the stigma towards patients with SMD. Understanding the subtypes of violent behaviour may be beneficial for preventing violent behaviour among patients with SMD, but it has rarely been studied. METHODS: This longitudinal study investigated 1914 patients with SMD in the community at baseline, and the follow-up period ranged from February 2021 to August 2021. The Barratt Impulsiveness Scale Version-11, the Buss-Perry Aggression Questionnaire, the Impulsive/Premeditated Aggression Scale, the Personality Diagnostic Questionnaire and the MacArthur Community Violence Instrument were used at baseline. The Modified Overt Aggression Scale was used to assess the occurrence of violent behaviour (outcome) during the follow-up period. Cox regression models were used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs). Latent class analysis was used to characterise the subtypes of patients with SMD who engaged in violent behaviour at follow-up. RESULTS: We found that 7.2% of patients with SMD presented violent behaviour within six months in the community. Younger age (OR = 0.98, 95% CI = 0.96-1.00, p = 0.016) and no economic source (OR = 1.60, 95% CI = 1.10-2.33, p = 0.014) were risk factors for violent behaviour. Patients with SMD who engaged in violent behaviour could be classified into three subtypes: one class characterised by a history of violence and impulsivity, another class characterised by high levels of aggression and motor impulsivity, and the last class characterised by median cognitive impulsivity. CONCLUSIONS: Socio-demographic factors were risk factors for violent behaviour among patients with SMD, which could eliminate the discrimination toward this group. Impulsivity played a vital role in identifying the three subtypes of patients with SMD who engaged in violent behaviour. These findings may be helpful for the development of a personalised violence risk management plan for patients with SMD who commit violent behaviour in the community.

COVID-19-associated mortality in individuals with serious mental disorders in Sweden during the first two years of the pandemic- a population-based register study.

BACKGROUND: Reports at the beginning of the COVID-19 pandemic suggested differences in COVID-19-associated mortality between individuals with serious mental disorders (SMD) and the population at large. AIM: To compare the pattern of COVID-19-associated mortality in individuals with and without SMD in Sweden over the two main pandemic years. METHODS: We compared the pattern of COVID-19-associated mortality in individuals with and without SMD in Sweden during 2020 and 2021. For SMD, we included psychotic disorder, bipolar disorder, and severe depression. The analysis was based on summary data from the Swedish Board of Health and Welfare covering the entire adult Swedish population. RESULTS: The overall relative risk (RR) for experiencing a COVID-19-associated death was 1.66 (CI 1.50-1.83; p < 0.001) for individuals with SMD versus individuals without SMD. The corresponding RRs were 3.25 (CI 2.84-3.71; p < 0.001) for individuals with psychotic disorder, 1.06 (CI 0.88-1.26; p = 0.54) for individuals with bipolar disorder, and 1.03 (CI 0.80-1.32; p = 0.80) for individuals with severe depression. Compared to their respective counterparts in the non-SMD group, in the psychotic disorder and severe depression group, the RR were higher in women than in men. In the bipolar disorder group, the RR was higher in men than in women. The RR of COVID-19-associated death was generally higher in younger individuals with SMD. Individuals with psychosis between 18 and 59 years had the highest RR of COVID-19-associated death with 7.25 (CI 4.54-11.59; p<0.001). CONCLUSIONS: Individuals with SMD, and particularly those with psychotic disorders, had a higher risk of COVID-19-associated death than the general population. As this is a pattern also seen with other infections, people with SMD may be similarly vulnerable in future pandemics.

'Let's Talk About Children' family focused practice for children of parents with schizophrenia and bipolar disorder: protocol for a randomized controlled trial.

INTRODUCTION: 'Let's Talk About Children' is a brief family focused intervention developed to improve mental health outcomes of children of parents with mental illness (COPMI). This study aims to assess the efficacy of LTC in improving mental health of children of parents with schizophrenia or bipolar disorder in China. METHODS: The planned study is a multicentre parallel group randomized wait-list controlled trial. A total of 400 eligible families with children aged 8 to 18 years will be recruited, 200 each for families with parental schizophrenia or bipolar disorder. The intervention group will receive Let's Talk About Children delivered by a trained therapist, while the control group will receive treatment as usual. The primary outcomes are child mental health measured by the strengths and difficulties questionnaire and parent-child communication measured using the parent-adolescent communication scale. Parental mental health and family functioning are secondary outcomes. This study also plans to explore mediating factors for the effect of Let's Talk About Children on child mental health, as well as conduct a cost-effectiveness analysis on using Let's Talk About Children in China. CONCLUSION: The present study will provide evidence for the efficacy of Let's Talk About Children in families with parental schizophrenia and bipolar disorder in China. In addition, it will evaluate potential mechanisms of action and cost-effectiveness of Let's Talk About Children, providing a basis for future implementation. TRIAL REGISTRATION: ChiCTR2300073904.

An Epidemiological Study of Physical-Mental Multimorbidity in Youth: Une étude épidémiologique de la morbidité physique-mentale chez les jeunes.

OBJECTIVE: This epidemiological study estimated the lifetime prevalence of chronic physical illness (i.e., an illness that lasted or was expected to last ≥6 months) and 6-month prevalence of mental disorder and multimorbidity (i.e., ≥1 physical illness and ≥1 mental disorder) in youth. Associations between physical illness and mental disorder were quantified, including the number of illnesses. Secondary objectives examined factors associated with mental disorder, after controlling for physical illness. METHODS: Data come from 10,303 youth aged 4-17 years in the 2014 Ontario Child Health Study (OCHS). Physical illness was measured using a list of chronic conditions developed by Statistics Canada. Mental disorders were measured using the OCHS Emotional Behavioural Scales. The Health Utility Index Mark III assessed overall functional health. RESULTS: Weighted prevalence estimates showed 550,090 (27.8%) youth had physical illness, 291,986 (14.8%) had mental disorder, and 108,435 (5.4%) had multimorbidity. Physical illness was not associated with mental disorder. However, youth with 2 physical illnesses, as compared to no physical illnesses, had increased odds of having any mental (OR = 1.75 [1.08, 2.85]), mood (OR = 2.50 [1.39, 4.48]) and anxiety disorders (OR = 2.40 [1.33, 4.31]). Mean functional health scores demonstrated a dose-response association across health status categories, with the highest scores among healthy youth and the lowest scores among multimorbid youth (all p < .05). CONCLUSION: Chronic physical illness and mental disorders are prevalent in youth. Youths with 2 physical illnesses have a higher likelihood of mental disorders. Higher functional health scores protected against all mental disorders. Mental health interventions for youth should promote strong overall functional health. PLAIN LANGUAGE SUMMARY TITLE: Physical-Mental Multimorbidity in Ontario Youth.

This study examined mental disorders in Ontario youth with and without chronic physical illnesses. Youth with at least one physical illness and one mental disorder have physical-mental multimorbidity. 27.8% of youth had chronic physical illness (that lasted at least six months), 14.8% had mental disorder, and 5.4% had multimorbidity. Risk factors for any mental, mood, and anxiety disorders included living with two chronic physical illnesses. Overall functional health of youth declined from youth that were healthy (no physical illness or mental disorder), chronic physical illness only, mental illness only, to multimorbid youth. Youth mental health interventions should promote strong overall functional health.

The effects of an interdisciplinary employment program on paid employment and mental health among persons with severe mental disorders.

PURPOSE: This study evaluates the effects of the interdisciplinary employment program 'Work As Best Care (WABC)' on employment participation and mental health of persons with severe mental disorders. METHODS: WABC is a 'work first' employment program for unemployed persons with severe mental disorders in which employment professionals work closely together with mental health professionals. In a longitudinal non-randomized controlled study, participants of WABC (n = 35) are compared with participants of the control group (n = 37), who received regular employment support. Participants were followed for 1 year and filled out questionnaires on individual characteristics and health at baseline, after 6 and 12 months. This information was enriched with monthly register data on employment status from 2015 until 2020. Difference-in-differences analyses were performed to investigate changes in employment participation among participants of WABC and the control group. A generalized linear mixed-effects model was used to compare changes in mental health (measured on 0-100 scale) between the two groups. RESULTS: Before WABC, employment participation was 22.0%points lower among participants of WABC compared to the control group. After starting WABC, employment participation increased with 15.3%points per year among participants of WABC, compared to 5.6%points in the control group. Among all participants of WABC, no change in mental health was found (ß 1.0, 95% CI - 3.4; 5.5). Only female participants of WABC showed a significant change in mental health (ß 8.0, 95% CI 2.6; 13.4). CONCLUSION: To enhance employment participation of persons with severe mental disorders, an interdisciplinary 'work-first' approach in which professionals of employment services and mental health services work in close collaboration, is of paramount importance.

Oral health knowledge, attitudes, and practices of people living with mental illness: a mixed-methods systematic review.

People living with mental illness experience poorer oral health outcomes compared to the general population, yet little is known about their oral health knowledge, attitudes, and practices. The aim of this mixed-methods systematic review was to synthesise evidence regarding oral health knowledge, attitudes, and practices of people living with mental illness to inform preventative strategies and interventions. Database searches were conducted in PubMed, MEDLINE, PsycINFO, CINAHL, ProQuest, and Scopus with no limitations placed on the year of study. All studies available in the English language, that explored the oral health knowledge, attitudes, and/or practices of people with a mental illness were included. Articles were excluded if they primarily pertained to intellectual disability, behavioural and psychological symptoms of dementia, drug and alcohol or substance use, or eating disorders. A thematic synthesis was undertaken of 36 studies (26 high-moderate quality), resulting in 3 themes and 9 sub-themes. Study participants ranged from n = 7 to n = 1095 and aged between 15-83 years with most having a diagnosis of schizophrenia, schizoaffective, or bipolar affective disorder. People diagnosed with a mental illness were found to have limited oral health knowledge, particularly regarding the effects of psychotropic medication. Various barriers to oral health care were identified, including high dental costs, the negative impact of mental illness, dental fears, lack of priority, and poor communication with dental and health care providers. Study participants often displayed a reduced frequency of tooth brushing and dental visits. The findings highlight the potential for mental health care providers, oral health and dental professionals, mental health consumers, and carers to work together more closely to improve oral health outcomes for people with mental illness. The systematic review protocol is registered with the International Prospective Register of Systematic Reviews (PROSPERO), (registration ID CRD42022352122).