OBJECTIVE: To investigate the associations between oral health and depression, anxiety and their comorbidity in the UK Biobank cohort.
METHODS: Oral health problems were self-reported at baseline. Symptoms of depression and anxiety were assessed using the Mental Health Questionnaire (PHQ-4) in a cross-sectional study. In the cohort study, diagnoses of depression and anxiety disorders were based on hospital records. Logistic regression and Cox regression models were used to analyse the association between oral health and depression/anxiety.
RESULTS: A total of 305,188 participants were included in the cross-sectional study, and multivariate analysis showed that periodontal disease was associated with depression and/or anxiety (odds ratio [OR]: 1.79, 95% confidence interval [CI]: 1.73-1.86). In the prospective cohort study involving 264,706 participants, periodontal disease was significantly associated with an increased risk of depression and/or anxiety (hazard ratio [HR]: 1.14, 95% CI: 1.10-1.19), depression (HR: 1.19, 95% CI: 1.13-1.25) and anxiety (HR: 1.13, 95% CI: 1.07-1.19). Periodontal disease was also significantly associated with comorbid depression and anxiety (HR: 1.27, 95% CI: 1.16-1.38). Multiple mediation analysis using baseline inflammatory factors showed that white blood cell count and C-reactive protein explained 3.07% and 3.15% of the association between periodontal disease and depression and anxiety, respectively. However, the results of longitudinal multiple mediation analysis of inflammatory factors at first follow-up (N = 10,673) were not significant.
CONCLUSIONS: Periodontal disease was found to be consistently associated with an increased risk of depression, anxiety and their comorbidity.

Comorbid depression and anxiety causes serious psychological and physiological damage for older people. This study aimed to identify heterogeneous classes of comorbid depression and anxiety (CDA) among older people in China and to ascertain predictors of latent class membership. Cross-sectional data of 10,919 cases were extracted from the Chinese Longitudinal Healthy Longevity Survey. Latent profile analysis (LPA) was used to identify symptom patterns of comorbid depression (measured by the 10-item Center for Epidemiologic Studies Depression Scale) and anxiety (measured by the Generalized Anxiety Disorder 7-item Scale). Multinomial logistic regressions following bivariate analyses were used to explore the relationship between the derived classes and individual- and social-level factors. Four patterns of CDA were identified: low symptoms of depression and anxiety (30.52%; n = 3333), mild depression only (53.26%; n = 5815), moderate depression and anxiety (13.82%; n = 1509), and severe depression and anxiety (2.40%; n = 262). Older people who are male, suffer from multimorbidity, and lack a healthy lifestyle are more likely to have problematic symptom profiles. While intimate relationships with partners and children significantly predicted CDA patterns, the effects of sibling relationships, daily life, and emotional support from the community were insignificant. LPA identified four distinct CDA patterns among a representative sample of older Chinese people. While restless sleep, lack of positive emotions, uselessness, and weak concentration are salient across all profiles, \"difficult to relax\" is prominent in profiles high in anxiety. In addition to individual-level variables, social-level factors, especially intimate relationships with partners and children rather than general links to siblings or the community, have unneglectable impacts on whether and to what extent older Chinese adults suffer from CDA in the cultural context of relationism, patriarchy, and filial piety.

This epidemiological study described changes in the estimated prevalence of current pharmacological and/or psychotherapy-based treatment utilization among college students with depression only, anxiety only, or comorbid depression & anxiety.
A sample of 190,500 weighted responses was collected through the 2013-2019 Healthy Minds Study questionnaires. Annual prevalence estimates of depression only, anxiety only, or comorbid depression & anxiety were computed. Current use of therapy, pharmacological services, or dual treatment among students with depression and/or anxiety were examined via descriptive statistics.
Estimated prevalence of college students who screened positive for depression only, anxiety only, and comorbid depression & anxiety escalated from 2013 to 2018-2019. When assessed individually, rates of currently using any psychiatric medication, participating in therapy, and engaging in concurrent medication & therapy services significantly rose among students with depression and/or anxiety. However, temporal trends in the current use of specific classes of psychiatric medications among young adults with depression only, anxiety only, or comorbid depression & anxiety differed by medication class.
This study was unable to assess psychiatric prescribing practices, depression or anxiety diagnoses, and prior mental health treatment.
An increasing proportion of college students are reporting depression and/or anxiety symptoms as well as pharmacological and/or psychotherapy service utilization when comparing rates from 2013 to 2018-19. Although this may indicate increasing acceptability to disclose and seek treatment for problematic symptomology, continued surveillance of college populations is needed to identify students at risk for adverse psychiatric health outcomes, especially during the coronavirus disease 2019 pandemic.

BACKGROUND: Depression and anxiety are common psychiatric sequelae of traumatic brain injury (TBI). However, there is lack of data on comorbid depression and anxiety, and depression and anxiety in TBI patients were often evaluated using non-validated diagnostic tools. This study aims to determine the rates, their comorbidity, and factors associated with depressive and anxiety disorders in TBI patients.
METHODS: In this cross-sectional study, 101 TBI patients were interviewed using the Structured Clinical Interview for DSM-IV Axis I Disorders to assess the rates of depressive and anxiety disorders after TBI. The association of socio-demographic and clinical factors with depressive and anxiety disorders were determined using Pearson\'s Chi-Square test.
RESULTS: A total of 25% of TBI patients (n = 25/101) were diagnosed with depressive disorders, of which 15% had major depressive disorder (n = 15/101) and 10% had minor depression (n = 10/101). Fourteen percent of TBI patients had anxiety disorders (n = 14/101), of which post-traumatic stress disorder (PTSD) was the commonest anxiety disorder (9%, n = 9/101). Seven percent of TBI patients (n = 7/101) had comorbid depressive and anxiety disorders. The only factor associated with depressive disorder was the duration of TBI (≥ 1 year) while the only factor associated with anxiety disorder was the mechanism of trauma (assault).
CONCLUSIONS: Major depressive disorder, minor depression and PTSD are common psychiatric complications of TBI. Clinicians should screen for depressive and anxiety disorders in TBI patients, particularly those with ≥1 year of injury and had sustained TBI from assault.

Temperament and mental illness are thought to represent varying degrees along the same continuum of neurotransmitter imbalances. A taxonomy of temperament could provide the basis for a new taxonomy of mental illness. Most popular models of temperament, being based heavily on emotionality traits, show very poor ability to discriminate between mental disorders. The main goal of this study was to examine whether a temperament model based on modern neurophysiology and possessing an extensive set of non-emotionality traits provides better discrimination between Major Depression (MD), Generalized Anxiety (GAD) and Comorbid MD and GAD, in comparison to emotionality-based temperament models.
Using the Structure of Temperament Questionnaire, the temperament profiles of 687 individuals (396 clients of private psychiatric and psychological practice, and 291 control subjects) were compared across four adult age groups (18-24, 25-45, 46-65, 66-84).
MD and GAD appear to be accurately distinguished by the traits of Motor Endurance and Motor Tempo (much lower values in depression), and Neuroticism (much higher value in anxiety). Comorbids can be distinguished based on a significant decrease in the traits of Plasticity, Intellectual Endurance, Sensitivity to Probabilities, and increased Impulsivity. These effects seemed independent of age and gender.
The results suggest the benefits of including non-emotionality-related traits and the usefulness of a functional approach to both taxonomy of temperament and classification of mental disorders.