Detection of anxiety symptoms and disorders in older adults: a diagnostic accuracy systematic review.

BACKGROUND: Anxiety symptoms and disorders are common in older adults and often go undetected. A systematic review was completed to identify tools that can be used to detect anxiety symptoms and disorders in community-dwelling older adults. METHODS: MEDLINE, Embase and PsycINFO were searched using the search concepts anxiety, older adults and diagnostic accuracy in March 2023. Included articles assessed anxiety in community-dwelling older adults using an index anxiety tool and a gold standard form of anxiety assessment and reported resulting diagnostic accuracy outcomes. Estimates of pooled diagnostic accuracy outcomes were completed. RESULTS: Twenty-three anxiety tools were identified from the 32 included articles. Pooled diagnostic accuracy outcomes were estimated for the Geriatric Anxiety Inventory (GAI)-20 [n = 3, sensitivity = 0.89, 95% confidence interval (CI) = 0.70-0.97, specificity = 0.80, 95% CI = 0.67-0.89] to detect generalized anxiety disorder (GAD) and for the GAI-20 (n = 3, cut off ≥ 9, sensitivity = 0.74, 95% CI = 0.62-0.83, specificity = 0.96, 95% CI = 0.74-1.00), Beck Anxiety Inventory (n = 3, sensitivity = 0.70, 95% CI = 0.58-0.79, specificity = 0.60, 95% CI = 0.51-0.68) and Hospital Anxiety and Depression Scale (HADS-A) (n = 3, sensitivity = 0.78, 95% CI = 0.60-0.89, specificity = 0.76, 95% CI = 0.60-0.87) to detect anxiety disorders in clinical samples. CONCLUSION: The GAI-20 was the most studied tool and had adequate sensitivity while maintaining acceptable specificity when identifying GAD and anxiety disorders. The GAI-20, GAI-Short Form and HADS-A tools are supported for use in detecting anxiety in community-dwelling older adults. Brief, self-rated and easy-to-use tools may be the best options for anxiety detection in community-dwelling older adults given resource limitations. Clinicians may consider factors including patient comorbidities and anxiety prevalence when selecting a tool and cut off.

Validity of the five-item mental health inventory for screening current mood and anxiety disorders in the general population.

OBJECTIVES: The Mental Health Inventory (MHI-5) is frequently used as a screener for mood and anxiety disorders. However, few population-based studies have validated it against a diagnostic instrument assessing disorders following current diagnostic criteria. METHODS: Within the third Netherlands Mental Health Survey and Incidence Study (NEMESIS-3), a representative population-based study of adults (N = 6194; age: 18-75 years), the MHI-5 was used to measure general mental ill-health in the past month. Presence of mood (major depressive disorder, persistent depressive disorder, or bipolar disorder) and anxiety disorders (panic disorder, agoraphobia, social phobia, or generalized anxiety disorder) in the past month was assessed with a slightly modified version of the Composite International Diagnostic Interview 3.0 per the Diagnostic and Statistical Manual of Mental disorders-5. RESULTS: The MHI-5 was good to excellent at distinguishing people with and without a mood disorder, an anxiety disorder, and any mood or anxiety disorder. The cut-off value associated with the highest sensitivity and highest specificity for mood disorder was ≤68, and ≤76 for an anxiety disorder or any mood or anxiety disorder. CONCLUSIONS: The MHI-5 can identify individuals at high risk of a current mood or anxiety disorder in the general population when diagnostic interviews are too time consuming.

Risks of anxiety disorders, depressive disorders, and sleep disorders in patients with dengue fever: A nationwide, population-based cohort study.

BACKGROUND: Dengue virus (DENV) infection, a common mosquito-borne disease, has been linked to several mental disorders like depression and anxiety. However, the temporal risk of these disorders after DENV infection is not well studied. METHODS: This population-based cohort study encompassed 45,334 recently lab-confirmed dengue patients in Taiwan spanning 2002 to 2015, matched at a 1:5 ratio with non-dengue individuals based on age, gender, and residence (n = 226,670). Employing subdistribution hazard regression analysis, we assessed the immediate (<3 months), intermediate (3-12 months), and prolonged (>12 months) risks of anxiety disorders, depressive disorders, and sleep disorders post DENV infection. Corrections for multiple comparisons were carried out using the Benjamini-Hochberg procedure. RESULTS: A significant increase in depressive disorder risk across all timeframes post-infection was observed (<3 months [aSHR 1.90, 95% CI 1.20-2.99], 3-12 months [aSHR 1.68, 95% CI 1.32-2.14], and >12 months [aSHR 1.14, 95% CI 1.03-1.25]). Sleep disorder risk was higher only during 3-12 months (aSHR 1.55, 95% CI 1.18-2.04). No elevated anxiety disorder risk was found. Subgroup analysis of hospitalized dengue patients showed increased risk of anxiety disorders within 3 months (aSHR 2.14, 95% CI 1.19-3.85) and persistent risk of depressive disorders across all periods. Hospitalized dengue patients also had elevated sleep disorder risk within the first year. CONCLUSION: Dengue patients exhibited significantly elevated risks of depressive disorders in both the short and long term. However, dengue's impact on sleep disorders and anxiety seems to be short-lived. Further research is essential to elucidate the underlying mechanisms.

[Mental health in the workplace - What role do socioeconomic-, gender-, and migration-related inequalities play?] / Psychische Gesundheit am Arbeitsplatz ­ Welche Rolle spielen sozioökonomische, geschlechterspezifische und migrationsbedingte Ungleichheiten?

BACKGROUND: Risk factors for mental health can be found in socio-economic-, gender- and migration-specific inequalities. These factors and the extent of depression, anxiety, and somatization among employees were examined in the present study. METHODS: As part of the Early Intervention in the Workplace Study (friaa), mentally burdened employees at five locations in Germany were surveyed on socio-demographic-, work-, migration-, and health-related content. Regression analyses were used to examine the relationship between these factors and depression (Patient-Health-Questionnaire-9, PHQ-9), anxiety (Generalized Anxiety Disorder-2, GAD-2), and somatization (Somatic Symptom Scale-8, SSS-8) in the entire sample and in people with migration background (MB). For the latter, acculturation (Frankfurt Acculturation Scale, FRACC) and the perception of burden in terms of demands of immigration (Demands of Immigration Scale, DIS) were also taken into account. RESULTS: On average, the 550 employees (12% with MB) showed clinically relevant depression (M = 13.0, SD = 5.1) (PHQ-9 ≥ 10), anxiety (M = 3.5, SD = 1.7) (GAD ≥ 3) and somatization (M = 13.0, SD = 5.8) (SSS-8 ≥ 12). Female gender was associated with higher anxiety and somatization. Older age and night shift work were associated with higher somatization. DISCUSSION: The results confirm the high level of mental burden among this sample of employees in Germany. In order to maintain their mental health, support measures should be offered, especially for vulnerable groups such as women, older employees, and night shift workers.

Anxiety disorders as predictors of suicidality in people with type 2 diabetes mellitus: Findings of a study in six European countries. / Zaburzenia lekowe jako predyktory samobójczosci u osób z cukrzyca typu 2: Wyniki badania przeprowadzonego w szesciu europejskich krajach.

OBJECTIVES: Anxiety disorders are significant predictors of suicidality and are proposed to be independent risk factors for suicide attempts. They are common in people with type 2 diabetes (T2DM) and are associated with longer duration of diabetes and poorer treatment outcomes. The aim was to examine associations between anxiety disorders and suicidal thoughts and behaviour in people with T2DM, to establish the prevalence of suicidality among people with T2DM in the selected European countries and to examine whether anxiety disorders were predictive of current outcomes of suicidality in this population using data from the International Prevalence and Treatment of Diabetes and Depression study. METHODS: The study sample comprised 1063 adults with T2DM from 6 European countries. The presence of anxiety disorders and suicidality was assessed with the MINI International Neuropsychiatric Interview. The group of participants with current suicidal risk was compared with the group of participants with no suicidal risk. RESULTS: The participants from Germany were more likely to report suicidality than those from other countries, whereas people from Serbia and Ukraine were less likely to report it. Depression and anxiety disorders significantly contributed to the increased presence of suicidality among people with T2DM. Agoraphobia was a significant predictor of suicidality when controlling for depression. The participants with T2DM and comorbid agoraphobia had 4.86 times higher odds to report suicidality than those without agoraphobia. CONCLUSIONS: Agoraphobia was a significant predictor of suicidality in people with T2DM.

Anxiety, a significant risk factor for coronary artery disease: what is the best index.

BACKGROUND: Coronary artery disease (CAD) is known as the leading cause of disability and death globally. Anxiety disorders are also recognized as common types of mental disorders that substantially impact global health. Iran ranks among the countries with a high incidence of CAD and anxiety disorders. Therefore, the present study aims to determine the potential association and epidemiological aspects of anxiety and CAD within the population of Mashhad, the second most popoulos city in Iran. METHODS: The present study is based on extracted data from the Mashhad stroke and heart atherosclerotic disorder (MASHAD) study which is a 10-year prospective cohort study intended to assess the effects of various CAD risk factors among Mashhad city residents. Anxiety scores were assessed at the baseline using Beck Anxiety Inventory and individuals were classified based on the BAI 4-factor structure model which included autonomic, cognitive, panic, and neuromotor components. Accordingly, the association between baseline anxiety scores and the BAI four-factor model with the risk of CAD events was analyzed using SPSS software version 21. RESULTS: Based on the results, 60.4% of the sample were female, and 5.6% were classified as having severe forms of anxiety. Moreover, severe anxiety was more prevalent in females. Results showed a 1.7% risk of CAD (p-value < 0.001) over 10 years with one unit increase in anxiety score. Based on the 4-factor model structure, we found that only panic disorder could significantly increase the risk of CAD by 1.1% over the 10-year follow-up (p-value < 0.001). CONCLUSION: Anxiety symptoms, particularly panic disorder, are independently and significantly associated with an increased overall risk of developing CAD over a 10-year period. Therefore, further studies are warranted to investigate the mechanisms through which anxiety may cause CAD, as well as possible interventions to mitigate these processes.

[Eco-anxiety: an emerging disorder linked to climate change]. / Éco-anxiété : un trouble émergent lié au dérèglement climatique.

ECO-ANXIETY: AN EMERGING DISORDER LINKED TO CLIMATE CHANGE. Eco-anxiety is the chronic fear of an environmental disaster, particularly in relation to global warming. Emerging in the 1990s, this concern is increasingly developing in all countries, especially among younger generations. It is not currently recognized as a diagnosis in psychiatric classifications, but some people (about 3% of the population) experience significant suffering and symptoms that can impair their quality of life. The role of the physician is then to look for an underlying anxiety or depressive disorder, or to assess the intensity of a possible specific Eco-anxiety Disorder. Treatment is based primarily on psychotherapeutic listening, stress and anxiety management methods, and cognitive behavioral therapy aimed at giving the patient better control over their emotions and means of action.

ÉCO-ANXIÉTÉ : UN TROUBLE ÉMERGENT LIÉ AU DÉRÈGLEMENT CLIMATIQUE. L'éco-anxiété est la crainte chronique d'une catastrophe environnementale, notamment en rapport avec le réchauffement climatique. Apparue dans les années 1990, cette inquiétude se développe de plus en plus dans tous les pays, surtout parmi les jeunes générations. Il ne s'agit pas d'un diagnostic reconnu à ce jour dans les classifications psychiatriques, mais certaines personnes (environ 3 % de la population) présentent une souffrance importante ainsi que des symptômes pouvant altérer leur qualité de vie. Le rôle du médecin est alors de rechercher un trouble anxieux ou dépressif sous-jacent, ou d'évaluer l'intensité d'un possible trouble éco-anxiété spécifique. Le traitement repose essentiellement sur une écoute psychothérapeutique, des méthodes de gestion du stress et de l'anxiété, et la thérapie comportementale et cognitive, visant à redonner au patient un meilleur contrôle de ses émotions et des moyens d'agir.

Diurnal variation in anxiety and activity is influenced by chronotype and probable anxiety-related disorder status.

Anxiety symptoms vary moment-to-moment within a day. One factor that may influence these variations is chronotype. Evening chronotypes prefer to engage in activities (e.g., sleep, physical and social activity) later in the day, and evening chronotype is implicated in psychopathology, including anxiety-related disorders. However, it is unknown whether chronotype influences diurnal variation in anxiety symptoms and whether these effects are amplified in individuals with a probable anxiety-related disorder. We examined the diurnal variation in anxiety symptoms and daily activities in morning and evening chronotypes with and without probable generalized anxiety disorder (GAD) or obsessive-compulsive disorder (OCD) in a community sample of adults (N = 410). Evening chronotypes reported higher anxiety symptoms, particularly in the evening hours, and lower engagement in daily activities, predominantly in the morning hours. Evening chronotypes with probable GAD or OCD reported worse anxiety symptoms in the evening. Our findings indicate that anxiety symptoms and engagement in daily activities fluctuate considerably across the day, and these patterns differ depending on chronotype. Evening chronotypes have more anxiety symptoms in the evening, despite preferring this time of day. Personalized treatment approaches that consider chronotype and target certain times of day may be efficient in alleviating peaks in anxiety symptoms.

Prevalence and risk factors of depression and anxiety in primary care.

Introduction: Anxiety and depressive disorders are highly prevalent mental health conditions worldwide. However, little is known about their specific prevalence in primary care settings. This study aimed to determine the prevalence of depression and anxiety in the primary care population and identify associated patient characteristics. Method: We conducted a cross-sectional study using stratified sampling by age with a self-administered questionnaire survey in Singapore's National Health-care Group Polyclinics from December 2021 to April 2022. A total score of Patient Health Questionnaire-9 (PHQ-9) ≥10 represents clinical depression, and a total score of Generalised Anxiety Disorder-7 (GAD-7) ≥10 indicates clinical anxiety. Multivariable logistic regression was used to identify the factors associated with depression and anxiety. Results: A total of 5694 patients were approached and 3505 consented to the study (response rate=61.6%). There was a higher prevalence of coexisting clinical depression and anxiety (DA) (prevalence=5.4%) compared to clinical depression only (3.3%) and clinical anxiety only (1.9%). The odds of having DA were higher among those aged 21-39 years (odds ratio [OR] 13.49; 95% confidence interval [CI] 5.41-33.64) and 40-64 years (OR 2.28; 95% CI 1.03-5.03) compared to those ≥65 years. Women had higher odds of having DA (OR 2.33; 95% CI 1.54-3.50) compared to men. Respondents with diabetes had higher odds of having DA (OR 1.78; 95% CI 1.07-2.94) compared to those without diabetes. Conclusion: Coexisting clinical depression and anxiety are significantly present in the primary care setting, especially among younger individuals, patients with diabetes and women. Mental health screening programmes should include screening for both depression and anxiety, and target these at-risk groups.

Prevalence of Depression and Anxiety Disorders in Patients with Glaucoma: A Systematic Review and Meta-Analysis Based on Cross-Sectional Surveys.

OBJECTIVE: Glaucoma is a chronic disease with an insidious onset that often brings severe psychological burden to patients. Therefore, based on a systematic review and meta-analysis, we explore the prevalence and severity of depression and anxiety in glaucoma patients, and provide clinically valuable information for medical staff. METHODS: Computer searches were conducted for relevant studies in PubMed, Embase, ProQuest PsycINFO, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, The Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure, Wanfang Database, and China VIP Database. The search date range was from the establishment of the database to December 2023. Literature was screened and data were extracted. The Cochrane risk of bias assessment tool was used to evaluate the quality of the literature, and RevMan5.4 was used for meta-analysis. RESULTS: The total sample size of the 15 included studies was 24,334 cases. All included studies were of high quality. The results of the meta-analysis revealed that, compared with control patients without glaucoma, patients with glaucoma were more likely to experience depression and to have more severe depressive symptoms [RR (Relative Risk) = 5.92, 95% CI (Confidence Interva) (3.29, 10.66), p < 0.01]; they were also more likely to experience anxiety and to have more severe anxiety symptoms [RR = 2.99, 95% CI (1.93, 4.64), p < 0.01]. The results of the sensitivity analysis showed that the two studies by Cumurcu E. 2005 and Yochim 2012 were the sources of heterogeneity in the meta-analysis of depression; and the three studies by Mabuchi 2012, Otori 2017, and Yochim 2012 were the sources of heterogeneity in the meta-analysis of anxiety disorders. CONCLUSION: People with glaucoma are more likely to experience depression and anxiety than people without glaucoma. Medical staff should pay greater attention to patients' emotional problems and help patients improve their quality of life.

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.

Identifying Internet addiction profiles among adolescents using latent profile analysis: Relations to aggression, depression, and anxiety.

BACKGROUND: While many studies have established a positive correlation between adolescents' internet addiction and mental health problems, most of these studies have overlooked the internal heterogeneity of Internet addiction. This study aims to identify latent profiles among adolescents based on their Internet addiction and to examine the differences in aggression, depression, and anxiety across these profiles. METHODS: We conducted a survey involving 7422 adolescents and administered the Young's Internet Addiction Test, Aggression Behavior Questionnaire, Patient Health Questionnaire-9, and Generalized Anxiety Disorder Scale. Latent profile analysis was utilized to categorize Internet addiction profiles among adolescents. Associations between Internet addiction profiles and related factors were examined using the Bolck-Croon-Hagenaars method. RESULTS: Latent profile analysis suggested four profiles of Internet addiction, which were labeled: Regular, Risk, Low Internet addiction, and Internet addiction. The Internet addiction profile showed higher levels of aggression, depression, and anxiety than the Low Internet addiction profile. The Low Internet addiction profile had higher levels of aggression, depression, and anxiety than the Risk profile. The Risk profile demonstrated higher levels of aggression, depression, and anxiety when compared to the Regular profile. LIMITATIONS: Limitations include the cross-sectional design and the self-report measures. CONCLUSIONS: The identified Internet addiction profiles offer differential predictions for aggression, depression, and anxiety. These results underscore the significance of employing latent profile analysis when exploring the associations between Internet addiction and mental health issues.

Smartphone use and well-being of adolescent girls: a population-based study.

BACKGROUND AND OBJECTIVES: Recent studies have reported an increasing incidence of anxiety among adolescent girls, and associated this with self-reported social media use. This study aimed to measure smartphone and social media use objectively and to evaluate its associations with measures of mental health and well-being. METHODS: In autumn 2022, we recruited a cohort of 1164 first-year female students from 21 socioeconomically diverse high schools. Students responded to an online survey comprising validated questionnaires (Bergen Social Media Addiction Scale (BSMAS), Generalised Anxiety Disorder-7, and Body Appreciation Scale 2) and visual analogue scales of current health, mood, tiredness, and loneliness. We also requested that they attach screenshots depicting their smartphone use. RESULTS: Among participants (mean age 16.3 years), 16% (n=183) had possible social media addiction and 37% (n=371) exceeded the cut-off for possible anxiety disorders. The BSMAS scores were associated with higher anxiety (r=0.380) and poorer body image (r=-0.268), poorer health (r=-0.252), lower mood (r=-0.261), greater tiredness (r=0.347), and greater loneliness (r=0.226) (p<0.001 for all). Among the 564 adolescents (48%) who sent screenshots of their smartphone use, average daily use was 5.8 hours (SD 2.2), including 3.9 hours (SD 2.0) of social media. Participants who sent screenshots had a higher grade point average than participants without screenshot data, but similar BSMAS and well-being measures. CONCLUSIONS: Consistent with other studies, we found social media addiction was common among adolescent girls and was associated with poorer mental health and well-being. Measures should be taken to protect adolescents from the potential harmful effects of social media use.

Evidence for strong genetic correlations among internalizing psychopathology and related self-reported measures using both genomic and twin/adoptive approaches.

The internalizing construct captures shared variance underlying risk for mood and anxiety disorders. Internalizing factors based on diagnoses (or symptoms) of major depressive disorder (MDD) and generalized anxiety disorder (GAD) are well established. Studies have also integrated self-reported measures of associated traits (e.g., questionnaires assessing neuroticism, worry, and rumination) onto these factors, despite having not tested the assumption that these measures truly capture the same sets of risk factors. This study examined the overlap among both sets of measures using converging approaches. First, using genomic structural equation modeling, we constructed internalizing factors based on genome-wide association studies (GWASs) of internalizing diagnoses (e.g., MDD) and traits associated with internalizing (neuroticism, loneliness, and reverse-scored subjective well-being). Results indicated the two factors were highly (rg = .79) but not perfectly genetically correlated (rg < 1.0, p < .001). Second, we constructed similar latent factors in a combined twin/adoption sample of adults from the Colorado Adoption/Twin Study of Lifespan Behavioral Development and Cognitive Aging. Again, both factors demonstrated strong overlap at the level of genetic (rg = .76, 95% confidence interval [CI] [0.40, 0.97]) and nonshared environmental influences (re = .80, 95% CI [0.53, 1.0]). Shared environmental influences were estimated near zero for both factors. Our findings are consistent with current frameworks of psychopathology, though they suggest there are some unique genetic influences captured by internalizing diagnosis compared to trait measures, with potentially more nonadditive genetic influences on trait measures. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Subjective and objective cognitive functioning in untreated late-life depression: An exploration centered on comorbid generalized anxiety disorder.

BACKGROUND: Late-Life Depression (LLD) is a prevalent mental health disorder that is often accompanied by cognitive impairments. The objective of this study is to investigate the influence of coexisting Generalized Anxiety Disorder (GAD) on both subjective and objective cognitive abilities in untreated LLD individuals. METHODS: A total of 77 participants aged 60 years and above were recruited for this study, comprising 31 individuals with Major Depressive Disorder (LLD group), 46 with MDD and coexisting Generalized Anxiety Disorder (LLDA group), and 54 healthy controls (HC). Prior to the study, all patients had abstained from psychotropic medication for a minimum of two weeks. Comprehensive neuropsychological assessments were administered to all participants. RESULTS: The LLDA group exhibited substantial disparities in memory, attention, processing speed,executive function,overall cognitive functioning, and subjective cognitive functioning when compared to the HC group. The LLD group displayed deficits in memory, SCWT-W in attention, SCWT-C in processing speed,overall cognitive functioning, and subjective cognitive functioning in comparison to the healthy controls. Although the LLD group achieved lower average scores in executive function, TMTA in processing speed, and DSST in attention than the HC group, no significant distinctions were identified between these groups in these domains. Linear regression analysis unveiled that anxiety symptoms had a significant impact on subjective cognitive deficits among MDD patients, but exhibited a milder influence on objective cognitive performance. After adjusting for the severity of depression, anxiety symptoms were found to affect TMTA in processing speed and subjective cognitive functioning in LLD patients. CONCLUSION: Late-Life Depression (LLD) exhibits pervasive cognitive impairments, particularly in individuals with generalized anxiety disorder, presenting a crucial target for future therapeutic interventions. Among elderly individuals with depression, anxiety symptoms significantly impact subjective cognitive functioning, suggesting its potential utility in distinguishing between depression-associated cognitive decline and pre-dementia conditions.

Population-based cohort study of Toxoplasma gondii P22 antibody positivity correlation with anxiety.

BACKGROUND: Accumulating evidence suggests that latent infection with Toxoplasma gondii (T. gondii) is associated with a variety of neuropsychiatric and behavioral conditions. This research aims to explore the potential correlation between T. gondii antibody positivity and neuropsychiatric disorders through a comprehensive prospective cohort study. METHODS: The cohort study utilized the UK Biobank database to recruit 8814 individuals with no prior diagnosis of neuropsychiatric disorders. Cox proportional hazards models were employed to investigate the associations between T. gondii P22 antibody seropositivity (P22+) and the development of various types of neuropsychiatric disorders. RESULTS: Of the population, 14.65 % tested positive for T. gondii P22 antibody. The presence of T. gondii P22 antibody showed a slight inverse association with epilepsy (HR: 0.28; 95 % CI: 0.10-0.77), while it was positively associated with an increased risk of developing anxiety disorders (HR: 1.38; 95 % CI: 1.04-1.83). LIMITATIONS: The study sample consisted mostly of white British individuals aged 40 to 69 years old. Although we adjusted for potential confounders, there may be other unmeasured and residual confounding factors that could have influenced our reported associations. CONCLUSIONS: The findings suggested an increased risk of anxiety and potential evidence of epilepsy associated with T. gondii P22+. However, our analysis did not reveal an increased risk of several other neuropsychiatric conditions including Alzheimer's disease, dementia, substance abuse disorders, depression, and neurodegenerative disorders, associated with P22 antibody seropositivity.

Effect of childhood emotional abuse on depression and anxiety in adulthood is partially mediated by neuroticism: Evidence from a large online sample.

Childhood trauma is widely recognized as a potential risk factor for psychiatric illness in adulthood, yet the precise mechanisms underlying this relationship remain incompletely understood. One proposed mechanism involves the impact of childhood trauma on personality development, particularly in relation to neuroticism, which may subsequently heighten susceptibility to psychiatric disorders. In this study, we aimed to investigate this hypothesis through an online survey involving 1116 participants (232 male, 21 %). Participants completed the Childhood Trauma Questionnaire (CTQ), assessing emotional abuse, physical abuse, sexual abuse, emotional neglect, and physical neglect, along with the Trait Self-Description Inventory (TSDI) for personality assessment and the PHQ-9 and GAD-7 clinical questionnaires for depression and anxiety symptoms evaluation, respectively. Our analyses revealed significant positive correlations between all facets of childhood trauma and neuroticism (all p < .01). Linear regression analysis demonstrated that emotional abuse significantly contributed to neuroticism (ß = 0.267, p < .05), openness (ß = 0.142, p < .05), and agreeableness (ß = 0.089, p < .05), while sexual abuse was associated with agreeableness (ß = 0.137, p < .01) Emotional neglect was negatively correlated with conscientiousness (ß = -0.090, p < .01), extroversion (ß = -0.109, p < .01) and agreeableness (ß = -0.154, p < .01). Furthermore, linear regression analysis revealed that emotional abuse was positively and significantly correlated with PHQ-9 and GAD-7 scores (r = 0.330, p < .01 and r = 0.327, p < .01, respectively). Mediation analysis supported a significant mediating role of neuroticism in the association between childhood emotional abuse and both depression (PHQ-9) (z = 8.681, p < .01) and anxiety (GAD-7) (z = 9.206, p < .01). Notably, the correlation between childhood emotional abuse and psychiatric symptoms was attenuated but not eliminated after controlling for neuroticism, suggesting partial mediation. While our cross-sectional design precludes causal inference, our findings support the notion that childhood emotional abuse may contribute to increased neuroticism, thereby elevating vulnerability to affective disorders in adulthood. These results underscore the importance of considering personality factors in understanding the long-term consequences of childhood trauma on mental health outcomes.

The role of temperament and character in the anxiety-depression spectrum among Korean adults.

BACKGROUND: Temperament and character are useful in risk assessment and therapy of individuals in the anxiety-depression spectrum but understudied in South Korea. OBJECTIVE: The study aimed to identify the temperament and character features associated with anxiety and/or depression in individuals with clinical disorders and in the general population. METHODS: A representative sample of 1384 Korean adults over 18 years old (58 % female) were assessed with the Beck Depression Inventory (BDI), State-Trait Anxiety Inventory (STAI), and Temperament and Character Inventory (TCI). Multivariate analyses, including structural equation modeling and complex systems analysis, evaluated how personality influenced risk and resilience for anxiety and/or depression. RESULTS: The three groups with anxiety and/or depression were strongly distinguished by temperament and character: (i) In AD (n = 58), Harm Avoidance and Reward Dependence were higher than in DD, and Self-directedness was higher than in AD+DD; (ii) In DD (n = 90), Persistence, Self-Directedness and Cooperativeness were higher than in AD+DD; and (iii) In AD+DD (n = 101), Harm Avoidance was highest and Persistence and Self-directedness were lowest (i.e., they were lowest in Resilience). Structural equation models confirmed these risk relations with strong character development reducing the adverse effects of emotional hyperreactivity from extreme temperaments. LIMITATIONS: Self-reports were measured only at one point in time, requiring collateral experimental data to support causal interpretation. CONCLUSIONS: Interactions of temperament and character are strongly predictive of risk and resilience to anxiety and/or depression by regulating both positive and negative affect. Character mediates the adverse effects of extreme temperaments on affect.

The association of impulsivity with depression and anxiety symptoms: A transdiagnostic network analysis and replication.

BACKGROUND: Impulsivity increases the risk for depression and anxiety. However, the granular pathways among them remain unknown. A network approach that moves from disorder-level analysis to symptom-level analysis can provide further understanding of psychopathological mechanisms. In this study, we examined the network structure of impulsivity and separate and comorbid symptoms of depression and anxiety. METHODS: Regularized partial-correlation networks were estimated using cross-sectional data from 1047 Chinese participants aged 18-26 years (main dataset, mean age = 21.45 ± 2.01 years) and 325 Chinese participants aged 18-36 years (an independent replication dataset, mean age = 21.49 ± 3.73 years), including impulsivity-depression, impulsivity-anxiety, and impulsivity-depression-anxiety networks. The datasets were collected from 1 June 2023 to 4 August 2023 and from 27 April 2022 to 16 May 2022, respectively. Impulsivity, depression, and anxiety were assessed using Barratt Impulsiveness Scale Version 11, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7, respectively. Bridge centrality was analyzed, and a network comparison test (NCT) was conducted to investigate the differences between the main dataset and replication dataset. RESULTS: The motor impulsivity dimension was revealed to be closely connected with individual symptoms of depression and anxiety regardless of whether they were in separate disorder forms or comorbid forms. In all the networks, motor impulsivity was the most important bridge node. The NCT showed comparable network connectivity and network structure between the main and replication datasets. LIMITATIONS: The use of cross-sectional data limited the inferences about the direction of causality between variables. CONCLUSIONS: These findings elucidate the psychopathological mechanisms underlying how impulsivity functions within depression, anxiety, and comorbidity and support that motor impulsivity is an important risk factor across different mental disorders and is responsible for comorbidity. The implications of these findings are discussed.

Polygenic liability for anxiety in association with comorbid anxiety in multiple sclerosis.

OBJECTIVE: Comorbid anxiety occurs often in MS and is associated with disability progression. Polygenic scores offer a possible means of anxiety risk prediction but often have not been validated outside the original discovery population. We aimed to investigate the association between the Generalized Anxiety Disorder 2-item scale polygenic score with anxiety in MS. METHODS: Using a case-control design, participants from Canadian, UK Biobank, and United States cohorts were grouped into cases (MS/comorbid anxiety) or controls (MS/no anxiety, anxiety/no immune disease or healthy). We used multiple anxiety measures: current symptoms, lifetime interview-diagnosed, and lifetime self-report physician-diagnosed. The polygenic score was computed for current anxiety symptoms using summary statistics from a previous genome-wide association study and was tested using regression. RESULTS: A total of 71,343 individuals of European genetic ancestry were used: Canada (n = 334; 212 MS), UK Biobank (n = 70,431; 1,390 MS), and the USA (n = 578 MS). Meta-analyses identified that in MS, each 1-SD increase in the polygenic score was associated with ~50% increased odds of comorbid moderate anxious symptoms compared to those with less than moderate anxious symptoms (OR: 1.47, 95% CI: 1.09-1.99). We found a similar direction of effects in the other measures. MS had a similar anxiety genetic burden compared to people with anxiety as the index disease. INTERPRETATION: Higher genetic burden for anxiety was associated with significantly increased odds of moderate anxious symptoms in MS of European genetic ancestry which did not differ from those with anxiety and no comorbid immune disease. This study suggests a genetic basis for anxiety in MS.