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.

Emotional risk factors before in vitro fertilization among infertile couples in daily clinical practice in Sari in 2020-2022.

BACKGROUND AND AIM: The relationship between psychological factors and treatment outcomes with assisted reproductive technology has sparked considerable debate. This study aims to investigate the emotional risk factors in couples seeking infertility treatment using assisted reproductive technology in Sari, Iran, from 2020 to 2022. MATERIALS AND METHODS: This research is a cross-sectional study and emotional risk factors and other related factors were examined using the Persian version of the SCREENIVF demographic, social, and clinical status questionnaire, social, and clinical status questionnaire before using Assisted reproductive technology in 460 infertile couples selected from infertility treatment centers in Sari City, Iran. The samples were randomly selected using a table of random numbers. Data analysis was performed using SPSS version 22 software. RESULTS: The mean age of the male and female participants were 31.70 ± 5.71 and 35.22 ± 5.48, respectively. The results regarding emotional risk factors and other related factors revealed that the variables of remarriage (P = 0.048) and exposure of spouse to emotional risk factors (P = 0.001), history of depression disorder (P = 0.007), and history of anxiety disorder (P = 0.009) were significantly correlated with the exposure of women to emotional risk factors. Furthermore, men's exposure to emotional risk factors was significantly correlated with primary education (P = 0.026) and diploma (P = 0.043) levels, age (P = 0.006), and wife's exposure to emotional risk factors (P = 0.001). CONCLUSION: By identifying infertile couples who are at risk of emotional risk factors, healthcare professionals can provide appropriate support and interventions to mitigate the emotional challenges associated with infertility. This proactive approach can significantly enhance couples undergoing infertility treatment's well-being and mental health.

Effort-reward imbalance and common mental disorders among public sector employees of Iran: a cross-sectional analysis.

BACKGROUND: The effort-reward imbalance (ERI) model is a widely used theoretical model to measure stress in the workplace. The objective of this study was to investigate the relationship between ERI and three common mental disorders: major depressive disorder (MDD), generalized anxiety disorder (GAD), and obsessive-compulsive disorder (OCD). METHODS: In this cross-sectional analysis, the study sample consisted of 4453 baseline participants of the Employees' Health Cohort Study of Iran (EHCSIR). Trained psychologists utilized the Persian version of the Composite International Diagnostic Interview (CIDI-2.1) during the baseline assessment to identify common mental disorders. Additionally, the validated Persian version of the 23-item ERI questionnaire was employed to assess effort, reward, overcommitment, and effort-reward ratio. To examine the association of ERI components with three common mental disorders (MDD, GAD, and OCD) over the past twelve months, multiple logistic regression analyses were conducted. RESULTS: The prevalence of effort-reward imbalance in the study sample was 47.1%. Higher ERI score was significantly associated with MDD (OR: 3.43, 95% CI: 2.30-5.13), GAD (OR: 2.42, 95% CI: 1.27-4.63), and OCD (OR: 2.23, 95% CI:1.19-4.19). The study participants who reported higher scores on work overcommitment had a higher likelihood of having MDD (OR: 1.16, 95% CI:1.10-1.23), GAD (OR: 1.07, 95% CI: 1.01-1.14), and OCD (OR: 1.19, 95% CI: 1.09-1.29). CONCLUSIONS: According to the study's findings, work-related stress, as determined by the ERI model, is a significant factor in the development of common mental disorders among employees in the public sector.

Complex posttraumatic stress disorder and dissociation in trauma-exposed Chinese adolescents: a latent class analysis.

Background: Preliminary evidence provides support for the proposition that there is a dissociative subtype of Complex posttraumatic stress disorder (CPTSD). Research on this proposition would extend our knowledge on the association between CPTSD and dissociation, guide contemporary thinking regarding placement of dissociation in the nosology of CPTSD, and inform clinically useful assessment and intervention.Objectives: The present study aimed to investigate the co-occurring patterns of CPTSD and dissociative symptoms in a large sample of trauma exposed adolescents from China, and specify clinical features covariates of such patterns including childhood trauma, comorbidities with major depressive disorder (MDD) and generalized anxiety disorder (GAD), and functional impairment.Methods: Participants included 57,984 high school students exposed to the coronavirus disease 2019 (COVID-19) pandemic. CPTSD and dissociative symptoms, childhood traumatic experience, and functional impairment were measured with the Global Psychotrauma Screen for Teenagers (GPS-T). Major depressive disorder (MDD) and generalized anxiety disorder (GAD) symptoms were measured with the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 (GAD-7), respectively. Latent class analysis (LCA) was employed to test the co-occurring patterns of CPTSD and dissociative symptoms. Analysis of covariance (ANCOVA) and chi-square tests were respectively used to examine between-class differences in continuous and categorical clinical covariates.Results: A 5-class model emerged as the best-fitting model, including resilience, predominantly PTSD symptoms, predominantly disturbances in self-organization (DSO)symptoms, predominantly CPTSD symptoms, and CPTSD dissociative subtype classes. The CPTSD dissociative subtype class showed the lowest level of functioning and the highest rates of MDD, GAD and childhood trauma.Conclusions: Our findings provide initial empirical evidence supporting the existence of a dissociative subtype of CPTSD, and inform for further research and clinical practice on traumatized individuals.

The present study identified a dissociative subtype of ICD-11 CPTSD among trauma exposed youth.The dissociative subtype of ICD-11 CPTSD was associated with poorer mental health outcomes.Findings of this study provide initial empirical evidence supporting the existence of a dissociative subtype of CPTSD.

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.

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.

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.

The prevalence of common mental disorders across 18 ethnic groups in Britain during the COVID-19 pandemic: Evidence for Equality National Survey (EVENS).

BACKGROUND: The COVID-19 pandemic negatively impacted mental health in the general population in Britain. Ethnic minority people suffered disproportionately, in terms of health and economic outcomes, which may contribute to poorer mental health. We compare the prevalence of depression and anxiety across 18 ethnic groups in Britain during the COVID-19 pandemic. METHODS: Secondary analysis of cross-sectional data (February-November 2021) from 12,161 participants aged 18-60 years old (N with data on outcomes = 11,540 for depression & 11,825 for anxiety), obtained from the Evidence for Equality National Survey (EVENS). Data were weighted to account for selection bias and coverage bias. Weighted regression models examined ethnic differences in depression (Centre for Epidemiologic Studies Depression Scale) and anxiety (Generalised Anxiety Disorder-7). Effect modification analyses explored whether ethnic differences in outcomes were consistent within age and sex sub-groups. RESULTS: Compared to White British people, greater odds of anxiety caseness (and greater anxiety symptoms) were observed for Arab (OR = 2.57; 95 % CI = 1.35-4.91), Mixed White and Black Caribbean (1.57; 1.07-2.30), any other Black (2.22, 1.28-3.87) and any other Mixed (1.58; 1.08-2.31) ethnic groups. Lower odds of depression caseness (and lower depressive symptoms) were identified for Chinese (0.63; 0.46-0.85), Black African (0.60; 0.46-0.79), and any other Asian (0.55; 0.42-0.72) ethnic groups. LIMITATIONS: Cross-sectional data limits the opportunity to identify changes in ethnic inequalities in mental health over time. CONCLUSIONS: We have identified certain ethnic groups who may require more targeted mental health support to ensure equitable recovery post-pandemic. Despite finding lower levels of depression for some ethnic groups, approximately one third of people within each ethnic group met criteria for depression.

Comorbidity and Quality of Life in DSM-5 Social Anxiety Disorder Among a Nationally Representative Sample.

Objective: Social anxiety disorder (SAD) is a prevalent and debilitating psychiatric disorder that is associated with impairments in functioning and detrimental outcomes such as suicide, poor physical quality of life (QOL), and overall mental health. The goal of the present study was to examine the past year comorbidities of DSM-5 SAD among a large nationally representative sample of US adults (N = 36,309) and to examine correlates of physical QOL and overall mental health among individuals with past-year SAD (N = 980).Methods: The study utilized data from the National Epidemiologic Survey on Alcohol and Related Conditions-III to examine diagnostic correlates of SAD as well as how symptoms and features of SAD are related to QOL using survey-weighted regression analyses.Results: We found that comorbid depression, anxiety disorders, posttraumatic stress disorder, and borderline personality disorder were positively associated with SAD. Further, presence of these disorders was also associated with poorer mental health among those with SAD. We also found that specific feared situations (eg, eating and drinking in public) and social anxiety symptoms (panic attack and avoidance) were linked to both forms of QOL (all ps <0.01).Conclusion: The present findings highlight that SAD is comorbid with other impairing disorders and that these comorbidities, specific feared situations, and SAD symptoms are related to worse QOL in individuals with SAD.

Evaluation of depressive and anxiety symptoms in childhood-onset systemic lupus erythematosus: Frequency, course, and associated risk factors.

BACKGROUND: Depressive and anxiety symptoms are common in childhood-onset systemic lupus erythematosus (cSLE), yet their etiology and course remain unclear. We investigated the frequency of depressive and anxiety symptoms longitudinally in youth with cSLE, and associated socio-demographic and disease factors. METHODS: Participants 8-18 years with cSLE completed baseline measures [demographic questionnaire, Center for Epidemiologic Studies Depression Scale for Children (CES-DC), Screen for Childhood Anxiety Related Disorders (SCARED), and psychiatric interview] and follow-up measures (CES-DC and SCARED) > 6 months later. Prevalence of clinically significant depressive (score >15 on CES-DC) or anxiety symptoms (score ≥25 on SCARED) was calculated at baseline and follow-up. Baseline psychiatric interview diagnoses were tabulated. Relationships between socio-demographics (neighborhood-level material deprivation, ethnic concentration, adverse childhood event history, psychiatric condition in a first-degree relative), disease-related factors (disease duration, major organ disease, disease activity, glucocorticoid use, comorbid medical condition) and baseline depressive and anxiety scores, were examined in linear regression models. Factors with univariate associations with p < 0.2 were included in multivariable adjusted models. RESULTS: At baseline, of 51 participants with a mean disease duration of 4.3 years (SD 2.7), 35% (n = 18) and 35% (n = 18) had clinically significant depressive and anxiety symptoms, respectively. Anxiety disorder was diagnosed by psychiatric interview in 14% (n = 7), depressive disorders in 6% (n = 3), and post-traumatic stress disorder in 4% (n = 2). Adverse childhood events and first-degree relative with psychiatric condition were present in 40% (n = 20) and 37% (n = 18), respectively. In multivariable regression analysis, baseline depressive symptoms were positively correlated with neighbourhood-level material deprivation (ß = 4.2, 95% CI [1.0, 7.3], p = 0.01) and psychiatric condition in a first-degree relative (ß = 7.3, 95% CI [2.2, 12.4], p = 0.006). No associations were found between baseline anxiety scores and patient factors. At a median follow-up of 13.5 months (IQR 10.5, 18) for CES-DC (n = 34) and SCARED (n = 44), depressive and anxiety symptoms were persistent (18%, n = 6; 16%, n = 7), and newly present (24%, n = 8; 16% n = 7) at follow-up. CONCLUSION: In this sample, depressive and anxiety symptoms were prevalent and persistent. Depressive symptoms correlated with neighborhood-level material deprivation, and family psychiatric history. These findings support routine psychosocial assessment in cSLE, and provision of appropriate resources.

Anxiety in adolescents and subsequent risk of suicidal behavior: A systematic review and meta-analysis.

BACKGROUND: Suicide is a major public health concern, and anxiety is a prevalent developmental challenge in adolescents closely linked to suicidal behavior. This study aimed to assess the association between anxiety in adolescents and subsequent risk of suicidal behavior through a meta-analysis, offering crucial insights for suicide prevention. METHODS: Six bibliographic databases were comprehensively searched to clarify the association between adolescents anxiety and subsequent risk of suicidal behavior. We used a fixed-effects model to determine the total pooled effect size estimate and reported odds ratios and the corresponding 95 % confidence intervals. Subgroup analysis, sensitivity analysis and publication bias analysis were conducted with Stata version 15.1. RESULTS: The findings revealed a significant association between anxiety in adolescents and subsequent suicidal behavior (OR = 2.33, 95 % CI [2.00, 2.71]). Subgroup analyses indicated differences in mean effect size estimates based on clinical diagnoses and self-reported measures used to assess anxiety. The correlation strength between adolescent anxiety and subsequent suicidal behavior increased with a longer follow-up period. Furthermore, adolescents anxiety was associated with increased risk of subsequent suicidal ideation (OR = 1.97, 95 % CI [1.72, 2.25]) and attempts (OR = 3.56, 95 % CI [2.49, 5.07]). Finally, boys (OR = 2.41, 95 % CI [1.67, 3.47]) with anxiety had a greater risk of subsequent suicidal behavior than girls (OR = 2.02, 95 % CI [1.47, 2.78]). CONCLUSION: This study revealed that adolescents anxiety increases the risk of suicidal behavior, including suicidal ideation and attempts. Consequently, there is a critical need for timely interventions tailored to adolescents with anxiety to prevent future instances of suicide.

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.

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.

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.

The comorbid network characteristics of anxiety and depressive symptoms among Chinese college freshmen.

BACKGROUND: This study aimed to investigate the interplay between anxiety and depressive symptoms in Chinese college freshmen using the causal system perspective (CSP), which differs from the traditional common cause perspective (CCP) by providing an alternative explanation by attributing comorbidity to direct interactions among symptoms. METHODS: A convenience sample of 2,082 Chinese college freshmen (39.51% male, Mage = 18.61) from a normal university completed the Generalized Anxiety Disorder 7-Item Scale (GAD-7) and the Patient Health Questionnaire (PHQ-9). Network analysis was conducted and evaluated as to centrality, stability, node predictability, and bridging features. Moreover, the moderated network model (MNM) was utilized to detect the moderation effects of gender in the comorbidity network. RESULTS: The network of anxiety and depressive symptoms exhibited stability, characterized by the core symptoms of "restlessness", "lack of energy", and "excessive worry about control", as well as the bridging symptoms of "fearfulness", "sad mood", and "irritability". Notably, the nodes representing "uncontrollable worry" and "difficulty in relaxation" demonstrated the highest predictive power. Gender did not exert any moderating effects on the anxiety and depressive symptom network. CONCLUSION: These results reinforce that certain anxiety or depressive symptoms are more central than others, and thus play a more vital role in the comorbid network. These findings highlight underlying potential targeting symptoms to consider in future interventions.