Qatar's National Mental Health Study-The World Mental Health Qatar.

BACKGROUND: We provide an overview of Qatar's first epidemiological study on prevalence, predictors, and treatment contact for mood and anxiety disorders. AIMS: We highlight the importance of the three-pronged study, its aims, and its key components. MATERIALS & METHODS: The first component comprised a probability-based representative survey of Qatari and non-Qatari (Arab) adult males and females recruited from the general population and interviewed using the International Diagnostic Interview (CIDI version 3.3). The second component, a clinical reappraisal study, assessed concordance between diagnoses based on the CIDI and independent clinical assessments conducted by trained clinical interviewers. The third component comprised a resting-state functional magnetic resonance imaging study of healthy survey respondents who were matched to patients with psychosis. RESULTS: 5000 survey interviews provided data on prevalence and treatment of common mental disorders. Clinical re-interviews (N = 485) provided important diagnostic validity data. Finally, state-of-the art structural and functional brain markers for psychosis were also collected (N = 100). DISCUSSION: Descriptive epidemiological data were collected to inform future mental health priorities in Qatar and situates these within a global context. CONCLUSION: The study fills important gaps in regional and global estimates and establish necessary baseline to develop comprehensive risk estimates for mental health in Qatar's young population.

Twelve-month prevalence, persistence, severity, and treatment of mood and anxiety disorders in Qatar's national mental health study.

OBJECTIVES: To estimate 12-month prevalence, persistence, severity, and treatment of mental disorders and socio-demographic correlates in Qatar. METHODS: We conducted the first national population-based telephone survey of Arab adults between 2019 and 2022 using the Composite International Diagnostic Interview and estimated 12-month DSM-5 mood and anxiety disorders and their persistence (the proportion of lifetime cases who continue to meet 12-month criteria). RESULTS: The 12-month prevalence of any disorder was 21.1% (10.4% mild, 38.7% moderate, and 50.9% severe) and was associated with: younger age, female, previously married, and with persistence of any disorder. Persistence was 74.7% (64.0% mood and 75.6% anxiety) and was significantly associated with secondary education or lower. Minimally adequate treatment received among those with any 12-month mental disorder was 10.6% (74.6% in healthcare and 64.6% non-healthcare sectors). Severity and the number of disorders significantly associated with each other and with treatment received (χ2 = 7.24, p = 0.027) including adequate treatment within the mental health specialty sector (χ2 = 21.42, p < 0.001). CONCLUSIONS: Multimorbidity and sociodemographics were associated with 12-month mental disorder. Treatment adequacy in Qatar are comparable to high-income countries. Low treatment contact indicate need for population-wide mental health literacy programes in addition to more accessible and effective mental health services.

Lifetime prevalence, risk, and treatment of mood and anxiety disorders in Qatar's national mental health study.

OBJECTIVES: To estimate lifetime prevalence, risk, and treatment for mental disorders and their correlates in Qatar's general population for the first time. METHODS: We conducted a national phone survey of 5,195 Qatari and Arab residents in Qatar (2019-2022) using the Composite International Diagnostic Interview Version 3.3 and estimated lifetime mood and anxiety defined diagnoses. Survival-based discrete time models, lifetime morbid risk, and treatment projections were estimated. RESULTS: Lifetime prevalence of any disorder was 28.0% and was associated with younger cohorts, females, and migrants, but lower formal education. Treatment contact in the year of disorder onset were 13.5%. The median delay in receiving treatment was 5 years (IQR = 2-13). Lifetime treatment among those with a lifetime disorder were 59.9% for non-healthcare and 63.5% for healthcare; it was 68.1% for any anxiety and 80.1% for any mood disorder after 50 years of onset. Younger cohorts and later age of onset were significantly predictors of treatment. CONCLUSIONS: Lifetime prevalence of mental disorders in Qatar is comparable to other countries. Treatment is significantly delayed and delivered largely in non-healthcare sectors thus the need for increased literacy of mental illness to reduce stigma and improve earlier help-seeking in healthcare settings.

Exploring dual diagnosis in opioid agonist treatment patients: a registry-linkage study in Czechia and Norway.

BACKGROUND: Knowledge of co-occurring mental disorders (termed 'dual diagnosis') among patients receiving opioid agonist treatment (OAT) is scarce. This study aimed (1) to estimate the prevalence and structure of dual diagnoses in two national cohorts of OAT patients and (2) to compare mental disorders between OAT patients and the general populations stratified on sex and standardized by age. METHODS: A registry-linkage study of OAT patients from Czechia (N = 4,280) and Norway (N = 11,389) during 2010-2019 was conducted. Data on mental disorders (F00-F99; ICD-10) recorded in nationwide health registers were linked to the individuals registered in OAT. Dual diagnoses were defined as any mental disorder excluding substance use disorders (SUDs, F10-F19; ICD-10). Sex-specific age-standardized morbidity ratios (SMR) were calculated for 2019 to compare OAT patients and the general populations. RESULTS: The prevalence of dual diagnosis was 57.3% for Czechia and 78.3% for Norway. In Czechia, anxiety (31.1%) and personality disorders (25.7%) were the most prevalent, whereas anxiety (33.8%) and depression (20.8%) were the most prevalent in Norway. Large country-specific variations were observed, e.g., in ADHD (0.5% in Czechia, 15.8% in Norway), implying differences in screening and diagnostic practices. The SMR estimates for any mental disorders were 3.1 (females) and 5.1 (males) in Czechia and 5.6 (females) and 8.2 (males) in Norway. OAT females had a significantly higher prevalence of co-occurring mental disorders, whereas SMRs were higher in OAT males. In addition to opioid use disorder (OUD), other substance use disorders (SUDs) were frequently recorded in both countries. CONCLUSIONS: Results indicate an excess of mental health problems in OAT patients compared to the general population of the same sex and age in both countries, requiring appropriate clinical attention. Country-specific differences may stem from variations in diagnostics and care, reporting to registers, OAT provision, or substance use patterns.

Cross-sectional study of psychiatric disorders in patients with chronic musculoskeletal pain and individuals without pain.

BACKGROUND: Musculoskeletal chronic pain is a leading cause of global disability and laboral incapacity. However, there is a lack of population-based studies that investigate the relationship between chronic pain and mental disorders with a control group, particularly among low- and middle-income countries. Chronic pain is a serious public health problem in terms of human suffering, and in terms of socioeconomic implications. Frequent association with different mental disorders increases disability, decreases quality of life, and makes diagnosis and treatment challenging. The present study aimed to evaluate the presence of mental disorders in patients with chronic musculoskeletal pain and compare with a control group without pain. METHODS: We selected 100 patients in a regular follow-up at the Musculoskeletal Pain Outpatient Clinic of the University Hospital and compared them with 100 painless individuals from the control group from June 2016 to June 2018. The instruments used were the Mini International Neuropsychiatric Interview (MINI-PLUS) and a structured questionnaire to collect sociodemographic data. Statistical analysis used t-test, chi-square, Fisher's exact test, Mann-Whitney, Kolmogorov-Smirnov tests, and multiple logistic regression. RESULTS: In the sample evaluated, the majority of patients were women (83%), of brown color (54%), with lower-level education (51%), lower salary range (73%) and high absenteeism rate at work (60,7%). Patients with chronic pain had more psychiatric disorders (88% vs. 48% in the control group; p < 0.001). The most frequent diagnoses were anxiety disorders with panic attacks (44%), generalized anxiety (36%), mixed anxiety and depression disorder (33%), social phobia (30%), agoraphobia (29%), suicide risk (28%), and major depression (27%). CONCLUSION: Positive correlations of mental disorders and chronic musculoskeletal pain have been documented. This suggests that psychiatric components must be taken into account in the management of chronic pain syndromes. The use of Mini Plus as a diagnostic tool for psychiatric disorders can contribute to optimizing the diagnosis and treatment of patients with chronic pain and encourage the creation of policies with strategies and criteria for quick access to Multi-professional Services.

Long-term effects of alcohol consumption on anxiety in adults: A systematic review.

OBJECTIVE: Despite the high prevalence and comorbidity of alcohol consumption and anxiety, it is unclear whether alcohol consumption influences long-term anxiety. This study aimed to systematically review the literature on the long-term longitudinal effects of alcohol consumption on anxiety in adults. METHODS: EMBASE, PsychInfo, Medline, and Web of Science databases were systematically searched from inception to April 12th, 2024. Articles analysing the relationship between alcohol consumption and anxiety symptoms or anxiety disorder diagnosis at least three-months later in adults were eligible. Articles were screened and extracted by two independent reviewers with study quality assessed using the Mixed Methods Appraisal Tool. RESULTS: From 884 records, eight studies of mixed quality met inclusion criteria. One study using a sample representative of the USA population found low volume consumption was associated with lower long-term anxiety. All other studies used a convenience sample or a specific medical population sample. The significance and direction of the relationship between alcohol consumption and long-term anxiety in these studies varied, likely due to differences in alcohol consumption thresholds used and populations studied. CONCLUSIONS: A paucity of research on the longitudinal effects of alcohol consumption on anxiety was found, highlighting a significant gap in the research literature. Furthermore, existing research, primarily focussed on clinical subpopulations, has yielded mixed results. Further research is needed to explore the longitudinal dose dependent impact of alcohol consumption on anxiety using samples representative of national populations.

Validity and reliability of anxiety literacy (A-Lit) and its relationship with demographic variables in the Iranian general population.

Introduction: Anxiety disorder is one of the most common mental disorders. This cross-sectional research aimed to determine anxiety literacy (A-Lit) psychometric properties among the Iranian population in 2022. Methods: This research was conducted on 690 people in Iran in 2022. In this study, people were selected by proportional stratified sampling, and the validity and reliability of the A-Lit designed by Griffiths were assessed. Validity of A-Lit was assessed by face validity, content validity, and confirmatory factor analysis. Reliability of A-Lit was evaluated by the McDonald's omega coefficient, Cronbach's alpha coefficient, and test- retest. In analytical sections, the tests of One-way ANOVA, Chi-squared test, and independent samples t-test were used. Results: The rates of S-CVI/Ave and CVR for A-Lit were 0.922 and 0.774, respectively. In confirmatory factor analysis, three items were deleted because the factor loading was less than 0.4, and goodness-of-fit indexes (Some of goodness-of-fit indexes: χ2/df = 4.175, GFI: 0.909, RMSEA = 0.068, PCFI = 0.745, AGFI = 0.883) were confirmed as the final model with 19 items. For all items, the Cronbach's alpha coefficient was 0.832, the McDonald's omega coefficient was 0.835, and the intraclass correlation coefficient was 0.874. According to the results of this study, 1.3% (n = 9) did not answer any questions correctly and 8.4% (n = 58) were able to answer 1-6 questions correctly. Approximately 72% (n = 495) were able to answer 7-12 questions, and eventually only 18.6% (n = 128) were able to answer 13 questions and more. There was a significant relationship between sex, age group, occupation status, marital status, and get information related to mental illness with A-Lit level (p < 0.05). Conclusion: The Persian version of A-Lit was confirmed with 19 items, and this scale is a reliable tool for measuring A-Lit in the general population. The results also showed that a few people have a higher level of anxiety literacy and that educational and intervention programs need to be designed and implemented for the public population.

Analysis of the situations and influencing factors of public anxiety in China: based on Baidu index data.

Background: Anxiety disorders have emerged as one of the most prevalent mental health problems and health concerns. However, previous research has paid limited attention to measuring public anxiety from a broader perspective. Furthermore, while we know many factors that influence anxiety disorders, we still have an incomplete understanding of how these factors affect public anxiety. We aimed to quantify public anxiety from the perspective of Internet searches, and to analyze its spatiotemporal changing characteristics and influencing factors. Methods: This study collected Baidu Index from 2014 to 2022 in 31 provinces in mainland China to measure the degree of public anxiety based on the Baidu Index from 2014 to 2022. The spatial autocorrelation analysis method was used to study the changing trends and spatial distribution characteristics of public anxiety. The influencing factors of public anxiety were studied using spatial statistical modeling methods. Results: Empirical analysis shows that the level of public anxiety in my country has continued to rise in recent years, with significant spatial clustering characteristics, especially in the eastern and central-southern regions. In addition, we constructed ordinary least squares (OLS) and geographically weighted regression (GWR) spatial statistical models to examine the relationship between social, economic, and environmental factors and public anxiety levels. We found that the GWR model that considers spatial correlation and dependence is significantly better than the OLS model in terms of fitting accuracy. Factors such as the number of college graduates, Internet traffic, and urbanization rate are significantly positively correlated with the level of public anxiety. Conclusion: Our research results draw attention to public anxiety among policymakers, highlighting the necessity for a more extensive examination of anxiety issues, especially among university graduates, by the public and relevant authorities.

Psychiatric disorders in pregnant women admitted to the high-risk obstetric service in a Colombian university clinic between 2013 and 2017.

OBJECTIVE: To determine the psychiatric diagnoses and treatments of patients admitted to the high-risk obstetric service who underwent a consultation with a liaison psychiatrist. METHODS: A descriptive observational study that included pregnant women from the high-risk obstetric service of a highly specialised clinic in Medellín, who had a liaison psychiatry consultation between 2013 and 2017. The main variables of interest were psychiatric and obstetric diagnoses and treatments, in addition to biopsychosocial risk factors. RESULTS: A total of 361 medical records were screened, with 248 patients meeting the inclusion criteria. The main prevailing psychiatric diagnosis was major depressive disorder (29%), followed by adaptive disorder (21.8%) and anxiety disorders (12.5%). The pharmacologic treatments most used by the psychiatry service were SSRI antidepressants (24.2%), trazodone (6.8%) and benzodiazepines (5.2%). The most common primary obstetric diagnosis was spontaneous delivery (46.4%), and the predominant secondary obstetric diagnoses were hypertensive disorder associated with pregnancy (10.4%), gestational diabetes (9.2%) and recurrent abortions (6.4%). Overall, 71.8% of the patients had a high biopsychosocial risk. CONCLUSIONS: The studied population's primary psychiatric disorders were major depressive disorder, adjustment disorder and anxiety disorders, which implies the importance of timely recognition of the symptoms of these perinatal mental pathologies, together with obstetric and social risks, in the prenatal consultation. Psychiatric intervention should be encouraged considering the negative implications of high biopsychosocial risk in both mothers and children.

Prevalence and risk factors of anxiety and depression in patients with multi-drug/rifampicin-resistant tuberculosis.

Background: Mental health disorders in patients with multi-drug or rifampicin-resistant tuberculosis (MDR/RR-TB) receive consistent attention. Anxiety and depression can manifest and may impact disease progression in patients with MDR/RR-TB. Given the heightened stressors resulting from the COVID-19 pandemic, this scenario is even more concerning. Objective: To evaluate the prevalence of and risk factors associated with anxiety and depression among patients with MDR/RR-TB in southern China. Methods: A facility-based cross-sectional study was undertaken at Guangzhou Chest Hospital in southern China, encompassing a cohort of 219 patients undergoing outpatient and inpatient treatment for MDR/RR-TB. Anxiety and depressive symptoms were assessed using the 7-Item Generalized Anxiety Disorder (GAD-7) scale and Patient Health Questionnaire-9 (PHQ-9). The ramifications of anxiety and depression were examined using univariate and multivariate logistic regression analyses, with odds ratios (ORs) and age- and sex-adjusted ORs (AORs) employed to quantify their influence. All data underwent statistical analysis using SPSS 25.0, with statistical significance established at P < 0.05. Results: Two hundred and nineteen individuals with MDR/RR-TB were included in the study. The prevalence of anxiety and depression was 57.53% (n = 126) and 65.75% (n = 144), respectively, with 33.3% (n = 73) of the participants experiencing both conditions simultaneously. Multivariate logistic regression analysis revealed that an age of 20-40 years [anxiety AOR = 3.021, 95% confidence interval (CI): 1.240-7.360; depression AOR = 3.538, 95% CI: 1.219-10.268], disease stigma (anxiety AOR = 10.613, 95% CI: 2.966-37.975; depression AOR = 4.514, 95% CI: 2.051-10.108) and poor physical health (anxiety AOR = 7.636, 95% CI: 2.938-19.844; depression AOR = 6.190, 95% CI: 2.468-15.529) were significant risk factors for moderate levels of anxiety and depression. Conclusions: We found that individuals with MDR/RR-TB had an elevated risk of anxiety and depression. To decrease the likelihood of unfavorable treatment outcomes, it is imperative to carefully monitor the psychological wellbeing of patients with MDR/RR-TB and promptly address any detrimental psychiatric conditions.

Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study.

BACKGROUND: Anxiety disorders are among the most common mental health disorders in the middle aged and older population. Because older individuals are more likely to have multiple comorbidities or increased frailty, the impact of anxiety disorders on their overall well-being is exacerbated. Early identification of anxiety disorders using machine learning (ML) can potentially mitigate the adverse consequences associated with these disorders. METHODS: We applied ML to the data from the Canadian Longitudinal Study on Aging (CLSA) to predict the onset of anxiety disorders approximately three years in the future. We used Shapley value-based methods to determine the top factor for prediction. We also investigated whether anxiety onset can be predicted by baseline depression-related predictors alone. RESULTS: Our model was able to predict anxiety onset accurately (Area under the Receiver Operating Characteristic Curve or AUC = 0.814 ± 0.016 (mean ± standard deviation), balanced accuracy = 0.741 ± 0.016, sensitivity = 0.743 ± 0.033, and specificity = 0.738 ± 0.010). The top predictive factors included prior depression or mood disorder diagnosis, high frailty, anxious personality, and low emotional stability. Depression and mood disorders are well known comorbidity of anxiety; however a prior depression or mood disorder diagnosis could not predict anxiety onset without other factors. LIMITATION: While our findings underscore the importance of a prior depression diagnosis in predicting anxiety, they also highlight that it alone is inadequate, signifying the necessity to incorporate additional predictors for improved prediction accuracy. CONCLUSION: Our study showcases promising prospects for using machine learning to develop personalized prediction models for anxiety onset in middle-aged and older adults using easy-to-access survey data.

Heterogeneity in the co-occurrence of depression and anxiety among adolescents: Results of latent profile analysis.

BACKGROUND: Depression and anxiety co-occur frequently and there is heterogeneity in the co-occurrence of such symptoms; however, few previous studies investigated the heterogeneity based on person-centered perspectives in adolescents. The primary aim of our study was to explore it using latent profile analysis (LPA), a person-centered statistical approach. METHOD: The Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7) were used to examine depression and anxiety symptoms in 7422 Chinese adolescents from 23 primary and secondary schools. To investigate latent profiles and assess profile validity, we employed Latent Profile Analysis (LPA), multinomial logistic regression, and analysis of variance. RESULTS: A three-profile model was suggested as the optimum: low (69.9 %), moderate (21.6 %), and high depression/anxiety (8.5 %). Female with higher negative cognitive bias and higher emotional regulation difficulty are more likely to be categorized in the high depression/anxiety group. Internet addiction, academic "Lying flat" and involution are significantly and positively linked with the severity of anxiety and depression. LIMITATIONS: Reliance on self-reported measures may lead to response bias; the cross-sectional design limits our ability to study how symptom profiles and category membership change over time. CONCLUSIONS: Three latent profiles of the co-occurrence of depression and anxiety presented a parallel pattern, which serves as a poignant reminder of the imperative need to identify Chinese adolescents who may be at elevated risk for depression and/or anxiety, and promoting intervention that are meticulously tailored to address the unique symptom presentations of each individual.

Adaptation and validation study of the Indonesian version of the Global Psychotrauma Screen in an undergraduate student population.

BACKGROUND: The high incidence of potentially traumatic events (PTEs) in Indonesia warrants early identification of those with probable trauma-related disorders in order to tailor prevention and intervention for trauma-related symptoms. OBJECTIVES: This study aims to adapt and validate a novel brief transdiagnostic screener, the Global Psychotrauma Screen (GPS), in Indonesian undergraduate students. METHODS: An online survey was administered among Indonesian undergraduate students (N = 322). Exploratory factor analysis, reliability analyses, clinical validity analyses, and correlational analyses were performed to evaluate the construct validity, reliability, clinical validity, and convergent-divergent validity of the Indonesian GPS. Hierarchical multiple regression was conducted to assess the relationship between risk factors and trauma-related symptoms. The relationship between four categories of trauma-related symptom severity and social/work functioning was measured using Analysis of Covariance. RESULTS: Exploratory factor analysis yielded a single-factor solution. The Indonesian GPS demonstrated good internal consistency, test-retest correlation, and absolute agreement, indicating good reliability. The Indonesian GPS also had an acceptable area under the curve, sensitivity, and specificity for a probable diagnosis of Post-Traumatic Stress Disorder (PTSD), Complex-PTSD (CPTSD), depression, and generalized anxiety disorder (GAD). We also established evidence for the convergent and divergent validity of GPS. The GPS risk factors (low psychological resilience, other stressful events, history of mental illness, and low social support) contributed to predicting trauma-related symptoms after controlling for gender, age, employment status, and faculty background. Additionally, in comparison to participants from the mild and low categories of GPS symptoms scores, participants from the severe and moderate category reported impaired lowered social/work functioning. CONCLUSION: The current findings indicate that the Indonesian GPS is a valid and reliable transdiagnostic trauma screener for Indonesian undergraduate students. This first comprehensive validation of the GPS in Indonesia calls for more research in Lower-middle Income Countries (LMICs) as a way towards prevention and early intervention for trauma-related symptoms.

The impact of the Covid-19 pandemic on postnatal anxiety and posttraumatic stress: Analysis of two population-based national maternity surveys in England.

BACKGROUND: Few studies have evaluated postnatal anxiety and posttraumatic stress (PTS) before and during the Covid-19 pandemic using comparable data across time. We used data from two national maternity surveys in England to explore the impact of the pandemic on prevalence and risk factors for postnatal anxiety and PTS. METHODS: Analysis was conducted using population-based surveys carried out in 2018 (n = 4509) and 2020 (n = 4611). Weighted prevalence estimates for postnatal anxiety and PTS were compared across surveys. Adjusted risk ratios (aRR) were estimated for the association between risk factors and postnatal anxiety and PTS. FINDINGS: Prevalence of postnatal anxiety increased from 13.7 % in 2018 to 15.1 % in 2020 (+1.4 %(95%CI:-0.4-3.1)). Prevalence of postnatal PTS increased from 9.7 % in 2018 to 11.5 % in 2020 (+1.8 %(95%CI:0.3-3.4)), due to an increase in PTS related to birth trauma from 2.5 % to 4.3 % (+1.8 %(95%CI:0.9-2.6); there was no increase in PTS related to non-birth trauma. Younger age (aRR = 1.31-1.51), being born in the UK (aRR = 1.29-1.59), long-term physical or mental health problem(s) (aRR = 1.27-1.94), and antenatal anxiety (aRR = 1.97-2.22) were associated with increased risk of postnatal anxiety and PTS before and during the pandemic, whereas higher satisfaction with birth (aRR = 0.92-0.94) and social support (aRR = 0.81-0.82) were associated with decreased risk. INTERPRETATION: Prevalence of postnatal PTS was significantly higher during the pandemic, compared to before the pandemic, due to an increase in PTS related to birth trauma. Prevalence of postnatal anxiety was not significantly higher during the pandemic. Risk factors for postnatal anxiety and PTS were similar before and during the pandemic.

Anxiety and depression status in patients with idiopathic pulmonary fibrosis and outcomes of nintedanib treatment: an observational study.

BACKGROUND: Anxiety and depression are common comorbidities in idiopathic pulmonary fibrosis (IPF) that impair health-related quality of life. However, there is a lack of studies focusing on the mental disorder of IPF after antifibrotic treatment and their related predictive factors. METHODS: Patients with an initial diagnosis of IPF were enrolled. Data on demographics, lung function, Generalized Anxiety Disorder-7 (GAD-7) Scale, Patient Health Questionnaire 9 (PHQ-9), Patient Health Questionnaire-15 (PHQ-15), and St. George's Respiratory Questionnaire total score(SGRQ-T) were collected. Changes in anxiety, depression, somatic symptoms, and quality of life scores before and after nintedanib treatment were compared, and the related predictive factors were analyzed. RESULTS: A total of 56 patients with a first diagnosis of IPF were enrolled, with 42 and 35 patients suffering from anxiety and depression, respectively. The GAD-7, PHQ-9, PHQ-15, and SGRQ scores were higher in the anxiety and depression groups. SGRQ total score (SGRQ-T) [OR = 1.075, 95%CI= (1.011, 1.142)] was an independent predictor of IPF combined with anxiety (p < 0.05); SGRQ-T [OR = 1.080, 95%CI= (1.001, 1.167)] was also an independent predictor of IPF combined with depression (p < 0.05). After treatment, GAD-7, PHQ-9, PHQ-15, and SGRQ scores decreased (p < 0.05). ΔSGRQ-T significantly affected ΔGAD-7 (ß = 0.376, p = 0.009) and ΔPHQ-9 (ß = 0.329, p = 0.022). CONCLUSION: Anxiety and depression in IPF patients are closely related to somatic symptoms, pulmonary function, and quality of life. The SGRQ-T score is of great value for assessing anxiety and depression in patients with IPF. Short-term treatment with nintedanib antifibrotic therapy can alleviate anxiety and depression in IPF patients.

Association between white matter hyperintensity and anxiety/depression.

Although previous studies have explored the associations of white matter hyperintensity with psychiatric disorders, the sample size is small and the conclusions are inconsistent. The present study aimed to further systematically explore the association in a larger sample. All data were extracted from the UK Biobank. First, general linear regression models and logistic regression models were used to assess the association between white matter hyperintensity volume and anxiety/depression. White matter hyperintensity has been classified into periventricular white matter hyperintensity and deep white matter hyperintensity. Anxiety was determined by General Anxiety Disorder-7 score (n = 17,221) and self-reported anxiety (n = 15,333), depression was determined by Patient Health Questionnaire-9 score (n = 17,175), and self-reported depression (n = 14,519). Moreover, we employed Cox proportional hazard models to explore the association between white matter hyperintensity volume and anxiety/depression. The covariates included in fully adjusted model are age, gender, body mass index, Townsend deprivation index, healthy physical activity, cigarette consumption, alcohol consumption, educational attainment, diabetes, hypertension, and coronary heart disease. The results of the fully adjusted model showed that white matter hyperintensity volume was significantly associated with General Anxiety Disorder-7 score (periventricular white matter hyperintensity: ß = 0.152, deep white matter hyperintensity: ß = 0.094) and Patient Health Questionnaire-9 score (periventricular white matter hyperintensity: ß = 0.168). Logistic regression analysis results indicated that periventricular white matter hyperintensity volume (odds ratio = 1.153) was significantly associated with self-reported anxiety. After applying the Cox proportional hazard models, we found that larger white matter hyperintensity volume was associated with increased risk of depression (periventricular white matter hyperintensity: hazard ratio = 1.589, deep white matter hyperintensity: hazard ratio = 1.200), but not anxiety. In summary, our findings support a positive association between white matter hyperintensity volume and depression.

The anxiety response of patients with severe psychiatric disorders to the recent public health crisis.

BACKGROUND: The devastating health, economic, and social consequences of COVID-19 may harm the already vulnerable groups, particularly people with severe psychiatric disorders (SPDs). The present study was conducted to investigate the anxiety response of patients with SPDs during the COVID-19 pandemic. METHODS: A total of 351 patients with SPDs [Schizophrenia Spectrum (SSD), Bipolar (BD), Major Depressive (MDD), and Obsessive-Compulsive (OCD) Disorders] and healthy controls in Guilan province, Iran, throughout 2021-2022 were included in this cross-sectional analytical study. The anxiety response consisted of four concepts: COVID-19-related anxiety, general health anxiety, anxiety sensitivity, and safety behaviors. We conducted an unstructured interview and provided sociodemographic and clinical information. Also, the participants were asked to complete four self-report measures of the Corona Disease Anxiety Scale, the Anxiety Sensitivity Index-Revised, the Short Health Anxiety Inventory, and the Checklist of Safety Behaviors. RESULTS: Analysis of variance showed a significant difference between the groups of patients with SPDs and the control group in COVID-19-related anxiety (F = 6.92, p = 0.0001), health anxiety (F = 6.21, p = 0.0001), and safety behaviors (F = 2.52, p = 0.41). No significant difference was observed between them in anxiety sensitivity (F = 1.77, p = 0.134). The Games-Howell test showed that the control group obtained a higher mean than the groups of people with BD (p < 0.0001), SSD (p = 0.033), and OCD (p = 0.003) disorders in COVID-19-related anxiety. The patients with MDD (p = 0.014) and OCD (p = 0.01) had a higher mean score than the control group in health anxiety. Tukey's test showed that the mean of safety behaviors of the control group was significantly higher than the OCD group (p = 0.21). No significant difference was found between the groups of patients with MDD, BD, SSD, and OCD in terms of COVID-19-related anxiety, health anxiety, and safety behaviors. CONCLUSION: Anxiety response to health crisis is different in groups with SPDs and control group. The findings of this study suggest that although health anxiety is present in many of these patients during the pandemic, their anxiety response to the health crisis may be less than expected. There can be various explanations, such as pre-existing symptoms, low health literacy, and possible co-occurring cognitive impairment. The results of this study have many practical and policy implications in meeting the treatment needs of this group of patients during public health crises and indicate that their needs may not be compatible with the expectations and estimates that health professionals and policymakers already have.

The PERSIAN Cohort: Prevalence of Psychiatric Disorders Among Employees.

BACKGROUND: Considering the impact of psychiatric disorders on the productivity of individuals and society's economy, we aimed to determine the prevalence of psychiatric disorders among the employees of Tabriz University of Medical Sciences. METHODS: This cross-sectional study was conducted on 1282 employees of Tabriz University of Medical Sciences in 2019. The required data were collected by trained psychologists using Composite International Diagnostic Interview (CIDI). In this process, psychiatric disorders were considered dependent variables, and demographic variables as independent variables. The relationship between independent and dependent variables was assessed using the chi-square test and Binary logistic regression in Stata version 17. RESULTS: The prevalence of generalized anxiety disorder (GAD), major depressive disorder (MDD), and obsessive-compulsive disorder (OCD) among employees was 14.12%, 12.48%, and 3.9%, respectively. The prevalence of GAD in women was significantly higher than men (17.06% vs. 10.02%, P<0.001). The prevalence of GAD was 42.86%, 15.97%, 13.49%, and 16.67 in widowed, single, married, and divorced employees, respectively (P=0.016). The prevalence of MDD in women was significantly higher than men (16.59% vs. 7.64%, P<0.001). The prevalence of MDD was 16.3%, 11.2%, 9.6%, and 8.56% in employees with Bachelor's, Associate, Master's degree, and High school diploma, respectively (P=0.009). CONCLUSION: Considering the relatively high prevalence of GAD and MDD among the employees of Tabriz University of Medical Sciences, strengthening counseling centers in the university and encouraging employees to participate in these centers, and examining them in terms of mental health help identify people at risk of mental disorders in time and provide counseling services to these people.

Aerobic exercise during adolescence and anxiety disorders in adulthood: A cohort study using Add Health.

INTRODUCTION: The prevalence of anxiety disorders, and mental chronic diseases, has increased over the last decade among adolescents. Since aerobic exercise reduces the risk of chronic diseases and stress symptoms, we aimed to examine the association between aerobic exercise in adolescence and anxiety disorders in adulthood. METHODS: Self-reported, publicly available data from 5,114 adolescents who participated in Waves I and IV of the National Longitudinal Study of Adolescent Health (Add Health) was analyzed from 1994-2009. We included US-based individuals aged 16 years on average and observed them for 15 years. Weighted Poisson regression models estimated the association between aerobic exercise in Wave I (1994, baseline) and anxiety disorders in Wave IV (2009, adulthood), adjusting for sociodemographic characteristics and substance use at baseline. RESULTS: Overall, 639/5,114 (weighted 12.96%) individuals experienced anxiety disorders at baseline. Age and sex differed significantly across all exercise groups (p's<0.001). Aerobic exercise did not significantly protect against anxiety disorders in adulthood: compared to adolescents who did not exercise at all, those who exercised 1-2 times/week had 0.85 times the prevalence of anxiety disorders during adulthood (95% CI = 0.65, 1.12; p = 0.25). Those who exercised 3-4 times/week had 0.81 times the prevalence (95% CI = 0.61, 1.08, p = 0.15) and those who exercised 5+ times/week had 0.84 times the prevalence (95% CI = 0.63, 1.13, p = 0.25) than those who did not exercise at all. CONCLUSION: Aerobic Exercise in adolescence did not protect against anxiety disorders in adulthood. More evidence is needed on this association, including using homogeneous measures of exercise and repeated measures methods.

Gender and age-related features of anxiety and depressive symptoms in patients in the acute phase of COVID-19.

OBJECTIVE: Aim: To investigate the gender and age characteristics of psychopathological symptoms in patients in the acute phase of respiratory infection SARS-CoV-2. PATIENTS AND METHODS: Materials and Methods: A total of 66 patients aged 8 to 92 years, sick with COVID-19 during inpatient treatment with lung damage from 30 to 70%, confirmed radiologically, in the period up to 20 days from the onset of the disease, were examined. To assess the mental status of patients with COVID-19, we used a clinical, clinical-psychopathological, psychometric method, which included the following questionnaires as part of psychiatric screening for studying psychopathological symptoms upon admission to the hospital. The Patient Health Questionnaire - PHQ-9, The Generalised Anxiety Disorder - GAD-7, Hamilton Test were used. The research data collection period is from 2020 to 2022. RESULTS: Results: Acute respiratory infection СОVID-19 affects the psycho-emotional state. During inpatient treatment, 60.6% of patients have symptoms of depression, 66.1% have anxiety symptoms. Most women with COVID-19 are characterized by moderate depression according to PHQ-9, mild anxiety according to GAD-7, and moderate anxiety according to Hamilton. Mild depression characterizes most men according to PHQ-9, absence of anxiety according to GAD-7, and mild anxiety according to Hamilton. Anxiety symptoms were less pronounced among men with COVID-19, with insomnia and respiratory symptoms being the most significant. Among women, anxiety (p≤0.001), tension, depression (p≤0.001), somatic muscle (p≤0.001) and respiratory symptoms (p≤0.001) predominate in the structure of anxiety during the active phase of COVID-19. CONCLUSION: Conclusions: The data obtained will be useful in the development of psychoprophylactic measures in patients with COVID-19.