Mental illness and sleep disorders among women with gynecological problems.

This retrospective cohort study identifies differences between rates of selected mental illnesses and sleep disorders according to eight gynecological problems. Analyses utilize medical claims data for adult employees of a large corporation during 2017-2021. Women with a gynecological problem (most notably pain, endometriosis, pelvic inflammation and bleeding) are significantly more likely to experience mental illness. Several gynecological problems are also significantly associated with sleep disorders. Women with a gynecological problem (vs. none) are 50% more likely to have a mental health problem and 44% more likely to have a sleep disorder after adjusting for age, marital status, dependent children and year. The largest differences between higher (%) mental illness and sleep disorders appear for hyperplasia (6% vs. 45%), cancer (11% vs. 68%), pelvic inflammation (46% vs. 79%) and pain (79% vs. 43%), respectively. On the other hand, the rate of having one or more gynecological problems ranges from 7.1% for women with no mental illness or sleep disorder to 20.6% for women with schizophrenia. Understanding the association between gynecological problems, mental illness and sleep disorders can help clinicians more effectively identify and treat patients.

The Declaration of the National Emergency in Child and Adolescent Mental Health: It Takes a Village.

Recognition of the high prevalence of children's mental health conditions and challenges to accessing needed care faced by children and their families have been long-standing concerns, emerging well before the onset of the COVID-19 pandemic. Global data examining the prevalence of at least one mental health and/or substance-use disorder for 2516 million people aged 5 to 24 years in 2019 found that at least 293 million people were affected by at least one mental health disorder and 31 million affected by a substance-use disorder.

Investigating the association between metabolic syndrome conditions and perinatal mental illness: a national administrative claims study.

BACKGROUND: Although the association between mental disorder and metabolic syndrome as a bidirectional relationship has been demonstrated, there is little knowledge of the cumulative and individual effect of these conditions on peripartum mental health. This study aims to investigate the association between metabolic syndrome conditions (MetS-C) and maternal mental illness in the perinatal period, while exploring time to incident mental disorder diagnosis in postpartum women. METHODS: This observational study identified perinatal women continuously enrolled 1 year prior to and 1 year post-delivery using Optum's de-identified Clinformatics® Data Mart Database (CDM) from 2014 to 2019 with MetS-C i.e. obesity, diabetes, high blood pressure, high triglycerides, or low HDL (1-year prior to delivery); perinatal comorbidities (9-months prior to and 4-month postpartum); and mental disorder (1-year prior to and 1-year post-delivery). Additionally, demographics and the number of days until mental disorder diagnosis were evaluated in this cohort. The analysis included descriptive statistics and multivariable logistic regression. MetS-C, perinatal comorbidities, and mental disorder were assessed using the International Classification of Diseases, Ninth, and Tenth Revision diagnosis codes. RESULTS: 372,895 deliveries met inclusion/exclusion criteria. The prevalence of MetS-C was 13.43%. Multivariable logistic regression revealed prenatal prevalence (1.64, CI = 1.59-1.70) and postpartum incident (1.30, CI = 1.25-1.34) diagnosis of mental health disorder were significantly higher in those with at least one MetS-C. Further, the adjusted odds of having postpartum incident mental illness were 1.51 times higher (CI = 1.39-1.66) in those with 2 MetS-C and 2.12 times higher (CI = 1.21-4.01) in those with 3 or more MetS-C. Young women (under the age of 18 years) were more likely to have an incident mental health diagnosis as opposed to other age groups. Lastly, time from hospital discharge to incident mental disorder diagnosis revealed an average of 157 days (SD = 103 days). CONCLUSION: The risk of mental disorder (both prenatal and incident) has a significant association with MetS-C. An incremental relationship between incident mental illness diagnosis and the number of MetS-C, a significant association with younger mothers along with a relatively long period of diagnosis mental illness highlights the need for more screening and treatment during pregnancy and postpartum.

The role of familial factors and neuroticism in the association between exposure to offensive behaviors at work and long-term sickness absence due to common mental disorders - a prospective twin study.

OBJECTIVES: The aim of this study was to investigate associations between exposure to work-related violence/threats and harassment, and future sickness absence (SA) due to common mental disorders (CMDs), taking familial factors (shared genetics and early-life environment) and neuroticism into account. METHODS: The study sample included 8795 twin individuals from the Swedish Twin Project of Disability Pension and Sickness Absence (STODS), including survey data from the Study of Twin Adults: Genes and Environment (STAGE). Self-reported work-related violence and/or threats as well as work-related harassment (including bullying) and national register data on SA due to CMDs were analyzed using standard logistic regression, and conditional logistic regression among complete twin pairs discordant on exposures. Individuals were followed for a maximum of 13 years. Interactions between neuroticism and exposures were assessed using both multiplicative and additive interaction analyses. RESULTS: Exposure to work-related violence/threats was associated with higher odds of SA due to CMDs when adjusting for age, sex, marital status, children, education, type of living area, work characteristics, and symptoms of depression and burnout (OR 2.11, 95% CI 1.52-2.95). Higher odds of SA due to CMDs were also found for exposure to harassment (OR 1.52, 95% CI 1.10-2.11) and a combined indicator of exposure to violence/threats and/or harassment (OR 1.98, 95% CI 1.52-2.59), compared with the unexposed. Analyses of twins discordant on exposure, using the unexposed co-twin as reference, showed reduced ORs. These ORs were still elevated but no longer statistically significant, potentially due to a lack of statistical power. No multiplicative interaction was found between neuroticism and exposure to work-related violence/threats, or harassment. However, a statistically significant additive interaction was found between neuroticism and exposure to violence/threats, indicating higher odds of SA due to CMDs in the group scoring lower on neuroticism. CONCLUSIONS: Exposure to work-related offensive behaviors was associated with SA due to CMDs. However, the results indicated that these associations may be partly confounded by familial factors. In addition, an interaction between exposure and neuroticism was suggested. Thus, when possible, future studies investigating associations and causality between offensive behaviors at work and mental health-related outcomes, should consider familial factors and neuroticism.

Association of Psychiatric Emergency Visits and Warm Ambient Temperature during Pregnancy: A Time-Stratified Case-Crossover Study.

BACKGROUND: Acute exposure to high ambient temperature and heat waves during the warm season has been linked with psychiatric disorders. Emerging research has shown that pregnant people, due to physiological and psychological changes, may be more sensitive to extreme heat, and acute exposure has been linked to increased risk of pregnancy complications; however, few studies have examined psychiatric complications. OBJECTIVE: Our objective was to examine the association between acute exposure to warm ambient temperatures and emergency department (ED) visits for mental disorders during pregnancy. METHODS: A time-stratified case-crossover design with conditional logistic regression was performed on ∼206,000 psychiatric ED visits for pregnant patients in North Carolina, from May to September 2016 to 2019. Daily average ambient temperature was the main exposure and was linked to daily visits by maternal zip code of residence for prenatal mood and anxiety disorders (PMAD), severe mental illness (SMI), mental disorder of pregnancy (MDP), suicidal thoughts (SUIC), and any psychiatric disorder (Any). Effect modification by trimester, residential segregation, economic segregation, urbanicity, and availability of greenspace was also investigated. RESULTS: Each 5°C increase in same-day exposure to warm ambient temperature on case days was associated with an increase in incidence rate ratio (IRR) for any psychiatric disorder [IRR = 1.07; 95% confidence interval (CI): 1.01, 1.14] including anxiety (IRR = 1.14; 95% CI: 1.00, 1.30), bipolar disorder (IRR = 1.28; 95% CI: 0.98, 1.67), and suicidal thoughts (IRR = 1.28; 95% CI: 1.00, 1.65) compared to control days. In general, the associations were strongest for warm season temperatures on the same day of exposure or for temperatures averaged over the 3 or 6 d preceding the ED visit. The greatest risk of an incident ED admission for PMAD (RR = 1.20; 95% CI: 1.04, 1.39), particularly for anxiety (RR = 1.30; 95% CI: 1.07, 1.59), and any psychiatric disorder (RR = 1.17; 95% CI: 1.07, 1.28) occurred following cumulative exposure to hot temperatures the week before admission. Higher psychiatric burden from temperature was observed in urban areas and on extreme heat days. CONCLUSIONS: For this pregnant population in the southeastern United States, short-term exposure to high ambient temperatures during the warm season was associated with a greater risk of ED visits for an array of psychiatric disorders. Findings show that climate-related increases in ambient temperature may contribute to psychiatric morbidity in pregnant people. https://doi.org/10.1289/EHP13293.

The Frequency of Neuropsychiatric Sequelae After Traumatic Brain Injury in the Global South: A systematic review and meta-analysis.

This study aimed to assess the prevalence of neuropsychiatric sequelae following traumatic brain injury (TBI) among the Western Asian, South Asian and African regions of the global south. All studies on psychiatric disturbances or cognitive impairment following TBI conducted (until August 2021) in the 83 countries that constitute the aforementioned regions were reviewed; 6 databases were selected for the literature search. After evaluating the articles using the Joanna Briggs Institute guidelines, the random effects model was used to estimate the prevalence of depression, anxiety, post-traumatic stress disorder (PTSD), TBI-related sleep disturbance (TBI-SD), obsessive-compulsive disorder (OCD) and cognitive impairment. Of 56 non-duplicated studies identified in the initial search, 27 were eligible for systematic review and 23 for meta-analysis. The pooled prevalence of depression in 1,882 samples was 35.35%, that of anxiety in 1,211 samples was 28.64%, that of PTSD in 426 samples was 19.94%, that of OCD in 313 samples was 19.48%, that of TBI-SD in 562 samples was 26.67% and that of cognitive impairment in 941 samples was 49.10%. To date, this is the first critical review to examine the spectrum of post-TBI neuropsychiatric sequelae in the specified regions. Although existing studies lack homogeneous data due to variability in the diagnostic tools and outcome measures utilised, the reported prevalence rates are significant and comparable to statistics from the global north.

Risk factors to mental health challenges among the LGBTI+ community in Gaborone, Botswana.

BACKGROUND:  Lesbian, Gay, Bisexual, Transgender, Intersex and other gender diverse groupings symbolised by + (LGBTI+) individuals experience adverse mental health problems, and several factors have been documented to facilitate such problems. However, in Botswana, the factors facilitating LGBTI+ individuals to experience mental health challenges have not been explored with previous studies only highlighting the poor mental health outcomes they experience. OBJECTIVES:  The aim of the study was to explore and describe factors that could cause mental health challenges in LGBTI+ individuals in Gaborone, Botswana. METHOD:  A qualitative, descriptive, phenomenological design was employed to examine the research question. In data collection, 15 unstructured in-depth telephonic interviews were conducted until data saturation. Data were analysed with a co-coder using the data analysis method by Colaizzi. RESULTS:  Three themes emerged following data analysis and were reasons for experiencing mental health challenges, experiences of challenges in accessing healthcare services and the social challenges of everyday life. CONCLUSION:  The findings indicate that a variety of factors influence the mental health problems in some LGBTI+ individuals.Contribution: The knowledge of the factors that cause LGBTI+ individuals' mental health challenges can inform mental healthcare to be rendered. The findings can apprise nursing curriculum development and policy regarding the needs of LGBTI+ individuals.

Children and young people's consultation rates for psychosocial problems between 2016 and 2021 in the Netherlands.

BACKGROUND: Worldwide, there are concerns about declining mental health of children and young people (CYP). OBJECTIVES: To examine trends in GP consultation rates for psychosocial problems and the impact of the COVID-19 pandemic. METHODS: We performed a population-based cohort study using electronic GP records of CYP (0-24 years) living in the Rotterdam metropolitan area between 2016 and 2021. We calculated monthly consultation rates for psychosocial problems, stratified by age group and sex. We used negative binomial models to model the pre-COVID-19 trend, and estimate expected rates post-COVID-19 onset. We modelled the effect of COVID-19 infection rate and school closure on consultation rates per sex and age group. RESULTS: The cohort increased from 64801 to 92093 CYP between January 2016 and December 2021. Median age was 12.5 years and 49.3% was female. Monthly consultation rates increased from 2,443 to 4,542 consultations per 100,000 patient months over the six years. This trend (RR 1.009, 95%CI 1.008-1.011) started well before the COVID-19 pandemic. Consultation rates of adolescent girls and young women increased most strongly. Between March and May 2020, there was a temporary reduction in consultation rates, whereupon these returned to expected levels. COVID-19 infection rate and school closures showed small but significant associations with consultation rates for psychosocial problems but this did not affect the overall trend. Although consultation rates for psychosocial problems increased, this increment was stable over the entire study period. CONCLUSION: The COVID-19 pandemic did not significantly increase consultation rates for psychosocial problems in CYP. The consultation rates increased, especially in adolescent girls and young women.

CYP' consultation rates for psychosocial problems within general practice almost doubled between 2016 and 2021 in the Rotterdam metropolitan area, the Netherlands.This increase was steady over time and was not affected by the COVID-19 pandemic.Consultation rates in general practice for psychosocial problems increased most strongly in adolescent girls and young women.

Patterns and correlates of mental healthcare utilization during the COVID-19 pandemic among individuals with pre-existing mental disorder.

How did mental healthcare utilization change during the COVID-19 pandemic period among individuals with pre-existing mental disorder? Understanding utilization patterns of these at-risk individuals and identifying those most likely to exhibit increased utilization could improve patient stratification and efficient delivery of mental health services. This study leveraged large-scale electronic health record (EHR) data to describe mental healthcare utilization patterns among individuals with pre-existing mental disorder before and during the COVID-19 pandemic and identify correlates of high mental healthcare utilization. Using EHR data from a large healthcare system in Massachusetts, we identified three "pre-existing mental disorder" groups (PMD) based on having a documented mental disorder diagnosis within the 6 months prior to the March 2020 lockdown, related to: (1) stress-related disorders (e.g., depression, anxiety) (N = 115,849), (2) serious mental illness (e.g., schizophrenia, bipolar disorders) (N = 11,530), or (3) compulsive behavior disorders (e.g., eating disorder, OCD) (N = 5,893). We also identified a "historical comparison" group (HC) for each PMD (N = 113,604, 11,758, and 5,387, respectively) from the previous year (2019). We assessed the monthly number of mental healthcare visits from March 13 to December 31 for PMDs in 2020 and HCs in 2019. Phenome-wide association analyses (PheWAS) were used to identify clinical correlates of high mental healthcare utilization. We found the overall number of mental healthcare visits per patient during the pandemic period in 2020 was 10-12% higher than in 2019. The majority of increased visits was driven by a subset of high mental healthcare utilizers (top decile). PheWAS results indicated that correlates of high utilization (prior mental disorders, chronic pain, insomnia, viral hepatitis C, etc.) were largely similar before and during the pandemic, though several conditions (e.g., back pain) were associated with high utilization only during the pandemic. Limitations included that we were not able to examine other risk factors previously shown to influence mental health during the pandemic (e.g., social support, discrimination) due to lack of social determinants of health information in EHR data. Mental healthcare utilization among patients with pre-existing mental disorder increased overall during the pandemic, likely due to expanded access to telemedicine. Given that clinical correlates of high mental healthcare utilization in a major hospital system were largely similar before and during the COVID-19 pandemic, resource stratification based on known risk factor profiles may aid hospitals in responding to heightened mental healthcare needs during a pandemic.

Mental health competencies are stronger determinants of well-being than mental disorder symptoms in both psychiatric and non-clinical samples.

The present study aimed to investigate whether the strength of mental health competencies and the severity of mental disorder symptoms, and their interaction, differ in the strength of their associations with several dimensions of well-being in Hungarian adult psychiatric and non-clinical samples. All respondent in the psychiatric sample (129 patients (44 male, 85 female)) and in the non-clinical community sample (253 adults (43 male, 210 female)) completed the Mental Health Test, six measures of well-being and mental health, and the Symptom Checklist-90-Revised. Including both mental health competencies and mental disorder symptoms in a regression model in both samples can predict patients' well-being even more accurately. Mental health competencies were positively related; mental disorder symptoms were negatively related to subjective well-being. In all models and in both samples, mental health competencies were found to be stronger determinants of well-being than mental disorder symptoms. The interaction of mental health competencies and mental disorder symptoms is no more predictive of well-being in either psychiatric or non-clinical samples than when the effects of each are considered separately. The assessment of mental health competencies has an important predictive value for well-being in the presence of psychopathological symptoms and/or mental disorders.

Psychiatric Comorbidities in Neurologic Hospitalizations in Portugal: A Nationwide Retrospective Observational Study.

INTRODUCTION: Psychiatric comorbidities have a significant impact on patients' quality of life and often go undetected in neurologic practice. The aim of this study was to describe and characterize psychiatric comorbidities among patients hospitalized due to a neurologic disorder in mainland Portugal. METHODS: A retrospective observational study was performed by analyzing hospitalization with a primary diagnosis of neurologic disorder defined as categories 76, 77, 79 - 85, 95, 109 of the Clinical Classification Software for International Classification of Diseases, Ninth Revision, Clinical Modification, occurring between 2008 and 2015 in adult patients (≥ 18 years of age). Psychiatric comorbidities were determined as the presence of a secondary diagnosis belonging to the Clinical Classification Software categories 650 to 670. RESULTS: A total of 294 806 hospitalization episodes with a primary diagnosis of a neurologic disorder were recorded in adult patients between 2008 - 2015 in Portuguese public hospitals. Approximately 26.9% (n = 79 442) of the episodes had a recorded psychiatric comorbidity (22.1%; 32.2%, female versus male hospitalizations). Patients with registered psychiatric comorbidities were younger (66.2 ± 16.2 vs 68.6 ± 17.2 with no psychiatric comorbidities, p < 0.001), presented lower all-cause in-hospital mortality rates, and significantly longer mean hospital stays. 'Delirium, dementia, amnestic and other cognitive disorders' were recorded in 7.4% (n = 21 965) of the hospitalizations, followed by alcohol-related disorders in 6.5% (n = 19 302) and mood disorders in 6.1% (n = 18 079). Epilepsy/seizures were the neurologic disorders with the highest proportion of recorded psychiatric comorbidities (39.9%). CONCLUSION: Psychiatric comorbidities were recorded in more than a quarter of the hospitalizations with a primary diagnosis of a Neurologic disorder. Psychiatric comorbidities varied among neurological disorders and were associated with different demographic and clinical features.

Association of post-COVID phenotypic manifestations with new-onset psychiatric disease.

Acute COVID-19 infection can be followed by diverse clinical manifestations referred to as Post Acute Sequelae of SARS-CoV2 Infection (PASC). Studies have shown an increased risk of being diagnosed with new-onset psychiatric disease following a diagnosis of acute COVID-19. However, it was unclear whether non-psychiatric PASC-associated manifestations (PASC-AMs) are associated with an increased risk of new-onset psychiatric disease following COVID-19. A retrospective electronic health record (EHR) cohort study of 2,391,006 individuals with acute COVID-19 was performed to evaluate whether non-psychiatric PASC-AMs are associated with new-onset psychiatric disease. Data were obtained from the National COVID Cohort Collaborative (N3C), which has EHR data from 76 clinical organizations. EHR codes were mapped to 151 non-psychiatric PASC-AMs recorded 28-120 days following SARS-CoV-2 diagnosis and before diagnosis of new-onset psychiatric disease. Association of newly diagnosed psychiatric disease with age, sex, race, pre-existing comorbidities, and PASC-AMs in seven categories was assessed by logistic regression. There were significant associations between a diagnosis of any psychiatric disease and five categories of PASC-AMs with odds ratios highest for neurological, cardiovascular, and constitutional PASC-AMs with odds ratios of 1.31, 1.29, and 1.23 respectively. Secondary analysis revealed that the proportions of 50 individual clinical features significantly differed between patients diagnosed with different psychiatric diseases. Our study provides evidence for association between non-psychiatric PASC-AMs and the incidence of newly diagnosed psychiatric disease. Significant associations were found for features related to multiple organ systems. This information could prove useful in understanding risk stratification for new-onset psychiatric disease following COVID-19. Prospective studies are needed to corroborate these findings.

Association between suicidal behavior and symptoms of other mental health problems in Mexican adolescents.

BACKGROUND: Suicidal behavior in adolescents is a growing public health problem. Knowing its risk factors is key for reducing it. OBJECTIVE: To identify the relationship between two suicidal behaviors (ideation and attempt) and eight mental health problems (MHPs) in Mexican adolescents. MATERIAL AND METHODS: Through an online survey of adolescent students from 20 states, the following information was screened: symptomatology of six MHPs (affective problems/depression, behavioral problems, somatic problems, inattention and hyperactivity problems, oppositional defiant problems and anxiety problems) and suicidal behavior (suicidal ideation and suicide attempts). MHP and suicidal behavior frequencies and percentages were analyzed, and associations were sought using binary logistic regression. RESULTS: Six-thousand seven hundred sixty-six adolescents completed the survey, out of whom 61.02% were females, with ages ranging between 11 and 19 years (16.38 ± 1.33); 10% reported suicidal behavior, and between 3 and 5%, MHPs. The predictors (χ2(8) = 387.13, p < 0.001) of suicidal behavior were affective problems/depression, behavioral problems, somatic problems, oppositional defiant problems and anxiety problems. CONCLUSION: Five mental health problems increased the risk of reporting suicidal behaviors.

ANTECEDENTES: Las conductas suicidas en adolescentes son un problema de salud pública que va en aumento. Conocer sus factores de riesgo es clave para reducirlas. OBJETIVO: Identificar la relación entre dos conductas suicidas (ideación e intento) y ocho problemas de salud mental (PSM) en adolescentes mexicanos. MATERIAL Y MÉTODOS: Mediante una encuesta en línea a adolescentes escolarizados de 20 estados, se tamizó la siguiente información: sintomatología de seis PSM (problemas afectivos/depresión, problemas conductuales, problemas somáticos, problemas de inatención e hiperactividad, problemas oposicionistas desafianes y problemas de ansiedad) y conducta suicida (ideación e intentos de suicidio). Se analizaron frecuencias y porcentajes y se indagó asociación mediante regresión logística binaria. RESULTADOS: Completaron la encuesta 6766 adolescentes entre 11 y 19 años (16.38 ± 1.33), 61.02 % del sexo femenino. El 10 % reportó conducta suicida y entre 3 y 5 %, PSM. Los factores predictivos (χ2(8) = 387.13, p < 0.001) de la conducta suicida fueron problemas afectivos/depresión, problemas conductuales, problemas somáticos, problemas oposicionistas desafiantes y problemas de ansiedad. CONCLUSIÓN: Cinco problemas de salud mental incrementaron el riesgo de reportar conductas suicidas.

Association of type 2 diabetes with family history of diabetes, diabetes biomarkers, mental and physical disorders in a Kenyan setting.

This study aimed to determine the degree of family relations and associated socio-demographics characteristics, clinical/physical and mental disorders in type 2 diabetes mellitus in a Kenyan diabetes clinic. This study was part of a large multicentre study whose protocol and results had been published. It took place at the outpatient diabetes clinic at a County Teaching and Referral Hospital in South East Kenya involving 182 participants. We used a socio-demographic questionnaire, the Hamilton Depression (HAM-D) and PHQ-9 rating scales for depression, the MINI International Neuropsychiatric Interview (MINI; V5 or V6) for DSM-5 diagnoses, the WHO-5 Well-being scale and Problem Areas in Diabetes Scale (PAID). We extracted from the notes all physical conditions. We enquired about similar conditions in 1st and 2nd degree relatives. Descriptive, Chi-square test, Fisher's exact test, one way ANOVA, and Multinomial logistic regression analysis were conducted to test achievements of our specific aims. Of the 182 patients who participated in the study, 45.1% (82/182) reported a family history of diabetes. Conditions significantly (p < 0.05) associated with a degree of family history of diabetes were retinopathy, duration of diabetes (years), hypertension, and depressive disorder. On average 11.5% (21/182) scored severe depression (≥ 10) on PHQ-9 and 85.2% (115/182) scored good well-being (≥ 13 points). All DSM-5 psychiatric conditions were found in the 182 patients in varying prevalence regardless of relations. In addition, amongst the 182 patients, the highest prevalence was poor well-being on the WHO quality of life tool. This was followed by post-traumatic disorders (current), suicidality, and psychotic lifetime on DSM-5. The least prevalent on DSM-5 was eating disorders. Some type 2 diabetes mellitus physical disorders and depression have increased incidence in closely related patients. Overall, for all the patients, the prevalence of all DSM-5 diagnoses varied from 0.5 to 9.9%.

Qatar's National Mental Health Survey-The World Mental Health Qatar: Sampling design, instrument adaptation, quality control, and fielding procedures.

OBJECTIVES: The World Mental Health Qatar (WMHQ) study, the first national general population mental health survey in Qatar, was conducted as part of the World Health Organization (WHO) World Mental Health (WMH) Survey Initiative. It was one of the few WMH survey conducted during the COVID-19 pandemic. This paper presents the methodological advances and challenges encountered while conducting the survey by telephone during the pandemic. METHODS: Disproportionate stratified sampling using a national-level cellular telephone frame selected a representative sample of Arabic-speaking adults. Participants were initially contacted via Short Message Service text, followed by telephone interviews. WMH training materials supported a comprehensive training program, and data quality was ensured through a quality control indicator system and extensive monitoring. RESULTS: Over 234 days, 5195 interviews in Arabic were completed, averaging 77 min each. In line with Qatar's population, the majority of participants were non-Qatari residents living in Qatar (72.2%). CONCLUSIONS: A distributed remote Computer Assisted Telephone Interviewing system facilitated centralized quality monitoring and data security. However, the pandemic intensified challenges such as remote management of interviewer productivity, low response rates, and rising survey costs. The findings will inform Qatar's mental health policymakers, and the strategies used to address these challenges offer valuable insights for researchers worldwide.

Feasibility of replacing face-to-face with telephone interviews for the World Mental Health Qatar survey during the COVID-19 pandemic.

OBJECTIVES: We investigated the feasibility of replacing face-to-face with telephone interviews conducted as part of the World Mental Health Qatar (WMHQ) survey and discuss the main methodological changes across the two pilots that were subsequently implemented in the full-scale WMHQ telephone survey. METHODS: We assessed the net mode effect by comparing the lifetime prevalence estimates of the main mental disorder classes (mood and anxiety disorders) and a number of disorders across the two survey pilots conducted prior to and post-pandemic. RESULTS: The main differences in terms of methodology for both pilots stemmed from differences in the survey mode, including questionnaire length, study recruitment method, and fielding team size and structure. These factors influenced response rates and costs. However, the lifetime prevalence estimates and other key indicators of survey results did not differ across modes. CONCLUSIONS: Our findings confirm the comparability of data collected via telephone and face-to-face modes, supporting the adoption of telephone surveys for future mental health studies, particularly in the context of pandemics. They also confirm the feasibility of changing or mixing modes depending on field conditions in future psychiatric epidemiological research.

Clinical reappraisal of the composite international diagnostic interview version 3.3 in Qatar's National Mental Health Study.

OBJECTIVES: Lifetime DSM-5 diagnoses generated by the lay-administered Composite International Diagnostic Interview for DSM-5 (CIDI) in the World Mental Health Qatar (WMHQ) study were compared to diagnoses based on blinded clinician-administered reappraisal interviews. METHODS: Telephone follow-up interviews used the non-patient edition of the Structured Clinician Interview for DSM-5 (SCID) oversampling respondents who screened positive for five diagnoses in the CIDI: major depressive episode, mania/hypomania, panic disorder, generalized anxiety disorder, and obsessive-compulsive disorder. Concordance was also examined for a diagnoses of post-traumatic stress disorder based on a short-form versus full version of the PTSD Checklist for DSM-5 (PCL-5). RESULTS: Initial CIDI prevalence estimates differed significantly from the SCID for most diagnoses ( χ 1 2 ${\chi }_{1}^{2}$  = 6.6-31.4, p = 0.010 < 0.001), but recalibration reduced most of these differences and led to consistent increases in individual-level concordance (AU-ROC) from 0.53-0.76 to 0.67-0.81. Recalibration of the short-form PCL-5 removed an initially significant difference in PTSD prevalence with the full PCL-5 (from χ 1 2 ${\chi }_{1}^{2}$  = 610.5, p < 0.001 to χ 1 2 ${\chi }_{1}^{2}$  = 2.5, p = 0.110) while also increasing AU-ROC from 0.76 to 0.81. CONCLUSIONS: Recalibration resulted in valid diagnoses of common mental disorders in the Qatar National Mental Health Survey, but with inflated prevalence estimates for some disorders that need to be considered when interpreting results.

Prevalence and correlates of mental disorders among Chinese overseas students during the COVID-19: A multi-regional cross-sectional analysis.

BACKGROUND: The global impact of the COVID-19 pandemic extends beyond physical health, significantly affecting mental health. Chinese overseas students are particularly susceptible to the adverse psychological effects of the pandemic. Understanding the prevalence and correlates of mental disorders in this population is essential for developing targeted interventions and support systems. METHODS: Employing a snowball sampling technique, this study recruited Chinese overseas students from diverse regions. The 50-item Self-evaluation Table was utilized to assess the presence of mental disorders. Descriptive statistics, including percentages, 95% confidence intervals, means, and standard deviations, characterized the survey population. The chi-square test identified disparities among categorical variables, while logistic regression explored risk factors for mental disorders among Chinese overseas students. RESULTS: Out of the total sample size of 10,864 Chinese overseas students, a staggering 7,090 (65.4%) met the diagnostic criteria for mental disorders. Furthermore, the degree of mental disorder varied significantly across different regions (p < 0.001), education levels (p < 0.05), the duration of anti-epidemic measures (p < 0.05), and age (p < 0.05), while no significant differences were observed in terms of gender (p > 0.05). Several risk factors contributing to the mental disorder burden among Chinese overseas students during the pandemic were identified, including the seriousness of the epidemic in their residential area, the apprehension of getting infected, anxieties regarding academic performance, the infection control policies implemented by the host government, preventive measures taken locally to counter the epidemic, and challenges encountered in returning to their home country. CONCLUSION: Given the significant challenges in mental health faced by Chinese overseas students during the COVID-19 crisis, addressing their specific needs and implementing tailored measures is imperative. Future public health emergencies should consider the potential mental disorders and disease risks faced by Chinese overseas students. By providing comprehensive support and targeted interventions, policymakers, educational institutions, and healthcare providers can help mitigate the adverse psychological effects and promote the well-being of this vulnerable population.

Prevalence and correlates of depression, anxiety and trauma-like symptoms in Chinese psychiatric patients during the fifth wave of COVID-19 pandemic: a cross-sectional study in Hong Kong.

BACKGROUND: Psychiatric patients are susceptible to adverse mental health outcome during COVID-19 pandemic, but its associated factors are understudied. This observational cross-sectional study aimed to comprehensively examine prevalence and correlates of psychological distress, in terms of depression, anxiety and post-traumatic-stress-disorder (PTSD)-like symptoms, among Chinese adult psychiatric outpatients amidst the peak of fifth COVID-19 wave in Hong-Kong. METHODS: A total of 415 patients (comprising 246 patients with common-mental-disorders [CMD] and 169 with severe-mental-disorders [SMD]) and 399 demographically-matched controls without mental disorders were assessed with self-rated questionnaires between 28-March and 8-April-2022, encompassing illness profile, mental health symptoms, psychosocial measures (loneliness, resilience, coping styles) and COVID-19 related factors. Univariate and multivariable logistic regression analyses were conducted to determine variables associated with moderate-to-severe depressive, anxiety and PTSD-like symptoms among psychiatric patients. RESULTS: Our results showed that CMD patients had the greatest psychological distress relative to SMD patients and controls. Approximately 40-55% CMD patients and 25% SMD patients exhibited moderate-to-severe depression, anxiety and PTSD-like symptoms. Multivariable regression analyses revealed that female gender, lower educational attainment, single marital status, being housewife, more severe insomnia, psychotic-like symptoms and cognitive complaints, self-harm behavior, lower resilience, avoidance coping, never contracting COVID-19 infection, greater fear of contagion, and longer exposure to pandemic-related information were independently associated with depression, anxiety and/or PTSD-like symptoms in psychiatric patients. CONCLUSIONS: Our results affirm increased vulnerability of psychiatric patients toward psychological distress during pandemic. An array of identified correlates facilitates early detection of high-risk psychiatric patients for targeted strategies to minimize pandemic-related negative psychological impact.