Depressive Disorder Symptoms Research Articles

Development and Initial Performance of the Hospital Mental Health Risk Screen.

Patients hospitalized after emergency care are at risk for later mental health problems such as depression, anxiety, and posttraumatic stress disorder symptoms. The American College of Surgeons Committee on Trauma standards for verification require Level I and II trauma centers to screen patients at high risk for mental health problems. This study aimed to develop and examine the performance of a novel mental health risk screen for hospitalized patients based on samples that reflect the diversity of the US population. We studied patients admitted after emergency care to 3 hospitals that serve ethnically, racially, and socioeconomically diverse populations. We assessed risk factors during hospitalization and mental health symptoms at follow-up. We conducted analyses to identify the most predictive risk factors, selected items to assess each risk, and determined the fewest items needed to predict mental health symptoms at follow-up. Analyses were conducted for the entire sample and within 5 ethnic and racial subgroups. Among 1,320 patients, 10 items accurately identified 75% of patients who later had elevated levels of mental health symptoms and 71% of those who did not. Screen performance was good to excellent within each of the ethnic and racial groups studied. The Hospital Mental Health Risk Screen accurately predicted mental health outcomes overall and within ethnic and racial subgroups. If performance is replicated in a new sample, the screen could be used to screen patients hospitalized after emergency care for mental health risk. Routine screening could increase health and mental health equity and foster preventive care research and implementation.

Role of Social, Clinical, and Contextual Factors in Explaining MRI Markers of White Matter Injury and Change in Objectively‐Assessed Cognition by Race/Ethnicity: The Multi‐Ethnic Study of Atherosclerosis

AbstractBackgroundRacial and ethnic disparities in Alzheimer’s disease and related dementias (ADRD) are well documented. The mechanisms through which race and ethnicity as markers of systemic racism are associated with brain health are lacking.MethodWe used data from the Multi‐Ethnic Study of Atherosclerosis (MESA) and a causal mediation framework to determine whether the association between race/ethnicity (measured in Exam 1, 2000‐2002) and brain health is mediated through pathways represented by social (education level, health insurance (yes/no)), clinical (hypertension, diabetes, and depression symptoms), and contextual factors (neighborhood socioeconomic status) measured in Exam 1. Brain health was measured by 3T magnetic resonance imaging (MRI, N = 966) and change in cognitive scores (N = 2002). Participants completed the Cognitive Abilities Screening Instrument (CASI), Digit Symbol Coding (DSC), and Digit Span (DS) cognitive tests in Exams 5 (2010‐2012) and 6 (2016‐2018). Participants underwent MRI in 2018‐2019 to assess white matter (WM) injury assessed by WM hyperintensity volume (WMHV) and fractional anisotropy (FA). All models were adjusted for age, gender, education, marital status, income, and for WMHV models, total intracranial volume.ResultMean (SD) age at baseline was 58 (9) years, 29% participants self‐reported Black, 17% Hispanic, 11% Chinese and 43% White. Black and Hispanic participants experienced a larger decrease in CASI (‐3.3 points (95%CI: ‐4.1, ‐2.5); ‐4.7 (‐5.7, ‐3.7) respectively), DSC (‐2.2 (‐3.6,‐0.8); ‐5.3 (‐7.0,‐3.6)), and DS scores (‐0.4 (‐0.7,‐0.2); ‐1.1 (‐1.4,‐0.8)) from Exam5 to 6 than White participants, after accounting for covariates and baseline cognitive score. Black participants had greater WMHV (21% (1%, 50%)), and lower FA (‐.006 (‐0.01,‐0.002)) than White participants. We observed that the association between race/ethnicity as markers of racism and CASI change was mediated by education (proportion mediated 13% (1%, 21%)), and that the association with DSC change was mediated by health insurance (proportion mediated 9% (4%, 24%)) but not by any other social, clinical or contextual factor. The association between race/ethnicity and WM injury markers and change in DS was not mediated by social, clinical nor contextual factors.ConclusionEducation and health insurance appear as factors that may partially explain the association between race/ethnicity and cognitive decline.

The relationship of climate change awareness and psychopathology in persons with pre-existing mental health diagnoses

IntroductionPersons with pre-existing mental health diagnoses are known to be more vulnerable to the consequences of climate change, such as extreme weather events and rising temperatures. However, it remains unclear if this holds true for adverse effects of climate change awareness, too.MethodsN = 89 patients of a psychosomatic outpatient clinic were assessed with well-established mental health questionnaires (PHQ-9 for depressive, GAD-7 for anxious, and PTSS-10 for post-traumatic symptoms) in their original form and in a modified version (PHQ-9-C, GAD-7-C, PTSS-10-C) specifically asking for patients’ symptom load regarding climate change awareness, and instruments evaluating personality factors (OPD-SF, SOC, RQ).Results21% of the sample reported at least mild symptoms of anxiety regarding climate change awareness, and 11% mild symptoms of depression due to climate change awareness. General anxiety (GAD-7) scores significantly predicted if people reported any psychological symptoms due to climate change awareness. In multiple regression analyses, higher scores of clinical symptoms of depression, anxiety or post-traumatic stress predicted higher scores of depressive, anxious or post-traumatic symptoms regarding climate change awareness, and higher scores of psychological symptoms regarding climate change awareness predicted each other. Younger participants reported significantly more traumatic symptoms regarding climate change awareness.DiscussionThe reported mental health impairments regarding climate change awareness in persons with pre-existing mental health diagnoses indicate an increased vulnerability. Hereby, depressive mental health burden seems to induce a predominantly depressive processing of climate change resulting in climate chance related depression. This holds also true for anxious and traumatic symptoms, and points toward biased attentional and memory processes and mood congruent processing.

Mental health symptoms in German elite athletes: a network analysis

IntroductionElite athletes are exposed to a variety of sport-specific stressors that may put them at particular risk for mental health symptoms and disorders. The aim of the present study was to assess data on mental health of elite athletes and investigate associations and interconnections among different variables using network analysis.MethodsA cross-sectional study was conducted from December 2021 to December 2022. The sample consisted of 275 German elite athletes (167 females) aged ≥18 years. Next to sociodemographic, medical and sport-related data, psychometric data such as psychological distress, symptoms of generalized anxiety, depression, and somatic symptom disorder have been gathered through questionnaires and analyzed by means of network analysis.ResultsOver 95.0% of the athletes showed elevated distress and 28.6% reported symptoms of depression. Results of the network analysis show, among other findings, that symptoms of somatic symptom disorder were associated with severe injuries and substance use. Moreover, elite athletes who reported a better financial situation reported fewer symptoms of depression, generalized anxiety, and somatic symptom disorder. They also reported a lower incidence of mild to moderate injuries and severe injuries, fewer years spent in elite sports, less substance use, and fewer training sessions per week. Conversely, these athletes reported a higher level of distress. Furthermore, sex, financial situation and number of training units per week emerged as significant predictors for mental health symptoms.DiscussionElite athletes showed increased numbers regarding mental health symptoms. Providing appropriate mental health interventions for elite athletes and further analysis of factors that influence the mental health of elite athletes and their interplay seem to be of central importance for the general well-being of elite athletes.

Cognitive impairment and depression

The commonality of cognitive impairment and depression is discussed. Cognitive symptoms are the main symptoms of depressive disorder and, most often, it is cognitive impairment that reduces the performance and quality of life of depressed patients. The most common cognitive disorders in depressed patients are: attention deficit (both visual and auditory), decrease in the level of short-term and operative memory, difficulties in processing information of any modality, a decrease in the speed of information processing, as well as difficulties in building an activity program and monitoring her execution. A cognitive symptom that requires further discussion is the so-called cognitive distortion – a shift in focus from positive to negative stimuli, as well as incorrect reactions to negative feedback and decision making. A depressive episode develops against the background of dysmetabolic and dysfunctional cerebral changes in the amygdala, cingulate cortex, hippocampus, orbitofrontal and mediobasal frontal cortex. Cognitive impairment in patients who have had depression persists after recovery from depression; according to the figurative expression adopted in the scientific community of specialists studying cognitive impairment in depression, each depressive episode forms permanent “cognitive scars”. Presumably, cognitive dysfunction may be one of the risk factors for the development of a depressive disorder; depression, in turn, is a risk factor for the development of dementia, including in Alzheimer’s disease and cerebrovascular disease: studies have shown that the transformation of severe cognitive impairment associated with depression into dementia in elderly patients can reach 70% in five years. The undoubted commonality of depression and cognitive dysfunction is emphasized by the frequency of depression in patients with cognitive impairment.

The efficacy and safety of adding celecoxib to escitalopram for improving symptoms of major depressive disorder.

There is growing evidence that adding non-steroidal anti-inflammatory drugs to some psychopharmacological treatments may help to improve symptoms in patients suffering from major depressive disorder. The present study examined the therapeutic efficacy of adding celecoxib to escitalopram and the safety of doing so. In this double-blind randomized controlled trial, 60 patients with major depressive disorder were randomly assigned to either treatment with escitalopram plus celecoxib (intervention group) or escitalopram and placebo. All patients were evaluated blind to treatment group with the Hamilton Depression Rating Scale (HDRS) before the intervention as well at 4 and 8 weeks after initiating treatment. Chi-square and paired t-test were used to examine between-group differences at those assessment times. There was no significant difference in depressive symptoms between intervention and placebo groups at baseline. However, at 4 and 8 weeks after the beginning of treatment, there were significant between-group differences in HDRS scores, favoring the intervention group. No between-group differences were found in treatment-related side effects. Adding celecoxib to escitalopram may improve symptoms of depression in patients with major depressive disorder without increasing the risk of drug-related side effects.

A Pilot Study of Symptoms of Major Depressive Disorder in Medical Students at an Osteopathic Medical School Before and After High-Stakes Examinations.

Given the high prevalence of symptoms of major depressive disorder (MDD) in medical students, identifying factors that impact the development of such symptoms is important. Previous data suggest that medical students can experience symptoms of MDD after medical school exams. It is not known if medical students experience more symptoms of MDD directly before or after exams. The aim of the current study is to determine the prevalence of symptoms of MDD in first- and second-year medical students directly before and after high-stakes medical school examinations. Two anonymous surveys were sent via REDCap to first- and second-year medical students at the University of New England College of Osteopathic Medicine. A pre-exam survey on the day of the exam asking about the past three days' MDD symptoms, and a post-exam survey sent three days after the exam asking about MDD symptoms experienced after the exam was sent out to a total of 391 students with a response rate of 23%. First- and second-year medical students regardless of gender experienced symptoms of MDD at higher rates before exams than afterwards. Female students experienced symptoms of MDD (as defined by the DSM-5) including sadness, sleep disturbances, and feelings of guilt or worthlessness at a greater rate compared to males before exams. After exams, females were more likely to experience sleep disturbances and decreased energy. Second-year male students were the least likely to experience symptoms of MDD. First- and second-year medical students can experience symptoms of MDD surrounding exams. This study highlights the emotional burden that students may carry near exams. It underscores the importance of further research on this topic to evaluate the effect exams have on the mental health of medical students during their training.

Do early symptoms of prolonged grief disorder lead to symptoms of posttraumatic stress disorder and depression? A longitudinal register-based study of the two first years of bereavement.

Symptoms of prolonged grief disorder (PGD), depression, and posttraumatic stress disorder (PTSD) often emerge concurrently in bereavement. The understanding of temporal relationships between these syndromes in a general bereaved population is limited. This study aims to investigate temporal relationships between these syndromes from 2 months postloss throughout the two first years of bereavement. Data were derived from a registry-based cohort study with 1,224 adult participants, who lost a spouse or parent. Participants completed self-report measures of PGD, depression, and PTSD at 2, 6, 11, 18, and 26 months postloss. Random intercept cross-lagged panel analyses examined the temporal relationships between PGD, PTSD, and depression. In spousal and parental bereavement, high levels of grief symptoms at 2 months postloss predicted subsequent high symptoms of PTSD and depression at 6 months postloss, not vice versa. PGD, PTSD, and depression showed strong intertwined relationships over the two first years of bereavement. Between-person differences explained an increasingly large amount of variance in symptoms of PGD, PTSD, and depression over time. Losing a spouse and younger age was associated with higher symptoms of PGD, PTSD, and depression compared to losing a parent and older age. In the early years of bereavement, large differences exist between bereaved individuals in general levels of PGD, PTSD, and depression. Within bereaved individuals, the temporal relationships between these syndromes become increasingly complex and intertwined over time. Findings should be interpreted with respect to the nonclinical sample and self-report data used. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Neural Correlates of Anhedonia in Major Depressive Disorder: Insights from Concurrent Analysis of Feedback-Related Negativity and Stimulus-Preceding Negativity.

Anhedonia, a core symptom of major depressive disorder (MDD), is explored in this study, focusing on the neural underpinnings through the examination of two event-related potential (ERP) components: feedback-related negativity (FRN) and stimulus-preceding negativity (SPN). This cross-sectional study was conducted in China from March 2022 to March 2023. It involved 35 MDD patients and 31 healthy controls (HC) participating in a modified 2-door task with simultaneous EEG recordings. Depression severity and anhedonia were assessed using the Hamilton Depression Scale (HAMD) and the Temporal Experience of Pleasure Scale (TEPS-CV), respectively. FRN and SPN metrics, along with correlations with each other and clinical assessments, were examined. In comparison to the HC group, the MDD group exhibited significantly lower scores in TEPS-CV (t = 2.854, p = 0.006) and its subscales (t = -3.596, p = 0.001 and t = 2.434, p = 0.018, respectively), along with consistently reduced amplitudes of FRN (F 1.64= 4.726, p = 0.033) and SPN (F 1.64= 4.195, p = 0.045) across all conditions. Limited correlations were observed between ERP metrics and clinical indicators, except for positive correlations between FRN amplitudes (loss minus win) and HAMD scores (r = 0.392, p = 0.020), and SPN amplitudes after losing (SPN-L) and TEPS-CV consumption subscale scores (r = 0.357, p = 0.035). Notably, while the HC group displayed no significant FRN-SPN correlations, the MDD group exhibited positive FRN-SPN correlations under distinct conditions (r = 0.376, p = 0.026 and r = 0.355, p = 0.037, respectively). Our data reveal subjective and objective anhedonia in both consumption and anticipation, suggesting a shared impairment in reward feedback processing and anticipatory neural mechanisms in individuals with MDD. These findings deepen our understanding of anhedonia's neural foundations and may guide targeted interventions for this core symptom.

Exploring gender differences in the relationships among childhood maltreatment, PTSD, and depression in young adults through network analysis

Background and objectivesCollege students who have experienced childhood maltreatment commonly exhibit adverse psychological consequences such as post-traumatic stress disorder (PTSD) and depression. The aim of this study is to use network analysis to investigate the gender differences in complex connections among various types of childhood maltreatment, PTSD, and depression. MethodsThis study involved 481 participants (M = 19.25 years, 54.5 % female) who were selected from a larger sample of 5231 college students. These participants had experienced childhood maltreatment and exhibited significant clinical symptoms of PTSD and depression. The participants completed validated measures that assessed childhood trauma, PTSD, and depression. ResultsThe network analysis performed on the entire sample revealed robust connections among various types of childhood maltreatment, symptom clusters of PTSD, and depression. The most central symptom that emerged was negative alterations in cognitions and mood (NACM), with emotional abuse displaying the highest centrality measure among the various types of childhood maltreatment. Upon comparing the subnetworks, the centrality analysis identified significant gender differences in nodes such as sexual abuse, physical neglect, emotional neglect, and avoidance. ConclusionsThe study's findings confirm that various forms of childhood abuse have intricate and multifaceted connections with depression and PTSD symptoms in adulthood. The study suggests that NACM could be the most significant symptom, and emotional abuse may play a vital role in adverse psychological outcomes. Furthermore, notable gender discrepancies were identified in the relationship between various forms of maltreatment and psychopathological symptoms.

33 Depressive Symptoms Drive the Underutilization of Cognitive Reappraisal in Veterans with PTSD

Objective:Adaptive emotional regulation strategies, such as cognitive reappraisal, are related to better neuropsychological functioning in the general population. Individuals with PTSD demonstrate difficulty with both emotional regulation and cognitive performance that contribute to clinical presentation (e.g., negative mood, irritability). However the extent to which neuropsychological functioning is associated with emotion regulation, alone and in concert with common comorbid symptoms like depression, remains understudied in this population. Better understanding how specific neuropsychological functions relate to cognitive reappraisal could point to novel treatment targets given preliminary evidence that certain cognitive training techniques can improves neuropsychological and affective outcomes. The present study aims to investigate the relationship between clinical symptoms of PTSD and depression, working memory capacity, and cognitive reappraisal in Veterans with PTSD. We hypothesized that clinical symptoms and working memory capacity would interact to predict cognitive reappraisal, such that elevated depression would relate to worse cognitive reappraisal, particularly for individuals with poor working memory capacity.Participants and Methods:Measures of working memory (symmetry span task), mental health symptomatology (Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) and Beck Depression Inventory-II (BDI-II), and emotional regulation (Emotion Regulation Questionnaire (ERQ)) were collected in 38 Veterans. A regression analysis was conducted with total CAPS score, total BDI score, total symmetry span score, and the interaction between BDI score and symmetry span score as the independent variables and total ERQ cognitive reappraisal score as the dependent variable.Results:When examining each predictor independently, cognitive reappraisal was not associated with working memory (t=1.42, p=.165), but was significantly associated with PTSD (t=-3.17, p<.003) and depressive (t=-4.15, p<.001) symptom severity. The multiple regression model (F(4, 35)=4.45, p<.005, R2=.26) did not support the hypothesized relationship between working memory and depressive symptoms (t=0.56, p=.579). Depression independently predicted utilization of cognitive reappraisal in veterans with PTSD (t=2.43, p=.020) but PTSD symptom severity and working memory scores did not. However, additional investigation revealed that independently, greater PTSD symptom severity did predict less utilization of cognitive reappraisal (t=-3.17, p<.005).Conclusions:While depressive symptoms did not moderate the relationship between working memory and cognitive reappraisal, depressive symptoms did best predict utilization of cognitive reappraisal in a population with PTSD. Contrary to the hypothesized outcome, neither working memory nor PTSD symptoms were significant predictors of cognitive reappraisal when controlling for depressive symptoms. This suggests that the phenomenon of lower cognitive reappraisal rates in individuals with PTSD may be due to the presence of depressive symptoms rather than traumatic stress symptoms or neuropsychological ability. Due to the sample size and homogeneous diagnosis of the current study it is possible that the predicted relationship between working memory, PTSD severity, and cognitive reappraisal was not observed due to low power or a restricted range. Further investigation specifically in clinical populations on factors that predict utilization of cognitive reappraisal could expand on these findings in populations experiencing other stress-based disorders.

Differing impact of the COVID-19 pandemic on youth mental health: combined population and clinical study.

Identifying youths most at risk to COVID-19-related mental illness is essential for the development of effective targeted interventions. To compare trajectories of mental health throughout the pandemic in youth with and without prior mental illness and identify those most at risk of COVID-19-related mental illness. Data were collected from individuals aged 18-26 years (N = 669) from two existing cohorts: IMAGEN, a population-based cohort; and ESTRA/STRATIFY, clinical cohorts of individuals with pre-existing diagnoses of mental disorders. Repeated COVID-19 surveys and standardised mental health assessments were used to compare trajectories of mental health symptoms from before the pandemic through to the second lockdown. Mental health trajectories differed significantly between cohorts. In the population cohort, depression and eating disorder symptoms increased by 33.9% (95% CI 31.78-36.57) and 15.6% (95% CI 15.39-15.68) during the pandemic, respectively. By contrast, these remained high over time in the clinical cohort. Conversely, trajectories of alcohol misuse were similar in both cohorts, decreasing continuously (a 15.2% decrease) during the pandemic. Pre-pandemic symptom severity predicted the observed mental health trajectories in the population cohort. Surprisingly, being relatively healthy predicted increases in depression and eating disorder symptoms and in body mass index. By contrast, those initially at higher risk for depression or eating disorders reported a lasting decrease. Healthier young people may be at greater risk of developing depressive or eating disorder symptoms during the COVID-19 pandemic. Targeted mental health interventions considering prior diagnostic risk may be warranted to help young people cope with the challenges of psychosocial stress and reduce the associated healthcare burden.

Somatic Symptoms in Major Depressive Disorder: A Cross-sectional Study in a Mental Health Setting, Vietnam

Major depressive disorder (MDD) presents a diverse clinical picture, especially with somatic symptoms, which can lead to negative impacts on the course and prognosis of the illness. This study aimed to (1) assess the prevalence of various somatic symptoms in MDD patients and (2) assess their association with demographic factors. A total of 345 outpatients diagnosed with MDD according to DSM-5 criteria were enrolled in this cross-sectional study over 6 months. Participants completed a questionnaire that included clinical and demographic information as well as the PHQ-9. There were 99.7% of patients who had at least one somatic symptom. The common somatic symptoms were fatigue (89.9%), insomnia (87.8%), palpitations (77.7%), headache (69.6%) and dizziness (61.4%). Total PHQ-9 scores and total number of somatic symptoms were found to have a regression relationship with a regression coefficient of 0.14 (t = 6.001, p < 0.001). In multiple logistic regression analysis, female gender was found to be associated with dizziness (odd ratios [OR] = 2.54, 95% confidence interval [CI] 1.53-4.21, p < 0.01), headaches (OR = 1.94, 95% CI 1.16-3.32, p < 0.05), and bowel problems (OR = 0.59, 95% CI 0.37-0.96, p < 0.05); while headaches (OR = 1.73, 95% CI 1.05-2.85, p < 0.05), and stomach problems (OR = 0.56, 95% CI 0.36-0.88, p < 0.05) were associated with age 40 and below. The study findings provide a resource for clinicians in mental health settings as well as primary care clinics in detecting inexplicable somatic symptoms associated with MDD.

Bipolar Disorder and Antidepressant Associated Hypomania

The impact of antidepressant associated hypomania on monomanic depression and its relationship to bipolar disorder. This review attempts to investigate and review current research on bipolar disorder diagnosis, the neurobiological mechanisms of antidepressant-associated hypomania, risk factors, and how to manage the occurrence of this condition. Bipolar disorder is a widespread, debilitating, recurrent, variable-severity mental health condition in which the patient exhibits two different states and unpredictable mood switching. Mania, hypomania, mixed states, depression, and depression interspersed with moments of relative health are the stages of the disorder. Early identification of bipolar disorder can improve prognosis. Patients with monophasic episodes are uncommon, as the clinical manifestation of bipolar illness is unpredictable. Throughout their lives, individuals with bipolar disorder alternate between episodes of mania or hypomania and depression. Depressive episodes in bipolar disorder are referred to as bipolar depression, and the underlying core symptom is depressed mood, which are essentially identical to the diagnostic criteria and clinical symptoms of uniphasic depression, so there is a high risk of misdiagnosis during the initial visit. Patients often choose to seek specialist help during depressive episodes, and this can lead to a tendency to overlook whether a patient has bipolar disorder. Antidepressant monotherapy is contraindicated for hypomanic episodes. Antidepressants tend to induce hypomanic and manic episodes, a phenomenon known as antidepressant-associated hypomania (AAH). All antidepressant drugs may cause mania. One is drug induced mania; The other is considered a potential bipolar disorder. There is a high co-occurrence of psychiatric disorders, but only bipolar disorder, monophasic depression, and antidepressant-induced hypomanic episodes are discussed here.

Characterizing depression after traumatic brain injury using a symptom-oriented approach

BackgroundProgress in addressing depression after traumatic brain injury (TBI) has been limited. Traditional approaches to measuring depression classify individuals with diverse symptoms as having the same problem. We adopted a novel, symptom-oriented approach to characterize post-TBI depression, emphasizing specific symptoms rather than the number of symptoms. MethodsWe assessed depressive symptoms cross-sectionally in 393 participants with moderate-severe TBI (range 0.4–35.4 years post-injury; M = 12.6) using the Inventory of Depression and Anxiety Symptoms – Expanded Version (IDAS-II). We analyzed symptoms of DSM-5 major depressive disorder (MDD), separating compound symptoms into sub-symptoms. We quantified depression heterogeneity across 16 specific symptoms and explored associations between each symptom and personal, injury-related, treatment, and functional/psychosocial outcome factors. Results28 % of participants self-reported a current depression diagnosis, and 35 % met DSM-5 symptom criteria for MDD. Depressed participants (according to either self-reported diagnosis or MDD symptom criteria) were more likely to endorse each specific depressive symptom, including those that overlap with TBI. Post-TBI depression was highly heterogeneous, with 84–91 % of depressed participants (depending on classification method) showing a unique symptom profile not shared with any other individual. The most common symptom profile was shared by only three individuals. This heterogeneity was meaningful, as specific depressive symptoms had distinct associations with personal, injury-related, treatment, and outcome factors. LimitationsCross-sectional design. We only analyzed DSM-5 MDD symptoms, and some symptoms were assessed using only one item. ConclusionsA symptom-oriented approach to post-TBI depression captures the individual's unique profile of depressive symptoms, which relate differently to outcomes and other factors. We recommend future studies investigating post-TBI depression analyze specific symptoms alongside overall depression scores.

Time trends in the prevalence of depressive disorder symptoms in the Danish workforce, 2012 to 2018

Abstract Background Over the last decade, and well-before the COVID-19 pandemic, the prevalence of mental health problems has increased in many European countries, particularly in youth, raising public health concerns. Yet, there has been little focus on the mental health status of the working population, and it is unknown if the proportion of workers with impaired mental health is growing as well. In this paper, we report change in the prevalence of depressive disorder in a large nationwide sample of the Danish workforce (N = 76,802) from 2012 to 2018. Methods We used data from the Work Environment and Health in Denmark study, a bi-annual nationwide survey on working conditions and health. We measured depressive symptoms using the Major Depression Inventory and defined prevalence of depressive disorder by a score ≥21, in accordance with previous clinical validation studies. Using a log-binomial regression model, we estimated change in prevalence of depressive disorders from 2012 to 2018 with 95% confidence intervals (95% CI). Results From 2012 to 2018, the prevalence of depressive disorder increased from 7.0% (95% CI: 6.7-7.4) to 9.4% (9.0-9.9) corresponding to an adjusted increase of 36.1% (27.4-45.4) over the 6-year period. We observed a statistically significant increase in the prevalence in every wave, from 2012 to 2014 (adjusted change in prevalence: 10.8%, 3.2-18.9), from 2014 to 2016 (8.6%, 1.3-16.4)), and from 2016 to 2018 (13.1%, 6.0-20.7)). The increase occurred in both sexes, all age groups and for all types of occupational status, but was more pronounced among women, younger workers and workers of low occupational status. Conclusions In a large nationwide sample of the Danish workforce, we observed an increasing prevalence of depressive disorder from 2012 to 2018. The results indicate that the general trend towards increased levels of mental health problems also encompasses the workforce and underlines the need for public health action. Key messages • The prevalence of depressive disorder in the Danish workforce increased considerably from 2012 to 2018. • The increase in prevalence of depressive disorder was observed in all groups, but was particularly pronounced for women, younger workers and basic-skilled workers.

Benefits of Urban Forest Healing Program on Depression and Anxiety Symptoms in Depressive Patients.

Depression is considered a widespread mental health problem worldwide. Moreover, anxiety symptoms are very closely related to depression in patients, and it is known that the coexistence rate of depression and anxiety diagnosed simultaneously is high. Treatment and preventive management of depression and anxiety are essential for public health. Forest healing is attracting attention as a form of low-cost preventive medicine that is safe and has no side effects. However, although the physiological and psychological effects have been scientifically proven, it is insufficient to reveal a direct relationship between forest healing and depression. This study investigated the benefits of an urban forest healing program on depression and anxiety symptoms in depressive disorders. We employed a randomized controlled trial design. Forty-seven depressive patients were randomly divided into an urban forest healing program group and a control group. Measures included the Montgomery-Asberg depression rating scale (MADRS), the Hamilton Anxiety Rating Scale (HARS), and the State-Trait Anxiety Inventory (STAI) questionnaires. Our results revealed that the combination of general treatment and forest healing programs for patients with depression is more effective in improving depression and anxiety than routine treatment alone. We expect our work to serve as a starting point for more sophisticated research discussing the availability of non-pharmacological treatments in forest healing.

Patient Health Questionnaire-9 Item Pairing Predictiveness for Prescreening Depressive Symptomatology: Machine Learning Analysis.

Anhedonia and depressed mood are considered the cardinal symptoms of major depressive disorder. These are the first 2 items of the Patient Health Questionnaire (PHQ)-9 and comprise the ultrabrief PHQ-2 used for prescreening depressive symptomatology. The prescreening performance of alternative PHQ-9 item pairings is rarely compared with that of the PHQ-2. This study aims to use machine learning (ML) with the PHQ-9 items to identify and validate the most predictive 2-item depressive symptomatology ultrabrief questionnaire and to test the generalizability of the best pairings found on the primary data set, with 6 external data sets from different populations to validate their use as prescreening instruments. All 36 possible PHQ-9 item pairings (each yielding scores of 0-6) were investigated using ML-based methods with logistic regression models. Their performances were evaluated based on the classification of depressive symptomatology, defined as PHQ-9 scores ≥10. This gave each pairing an equal opportunity and avoided any bias in item pairing selection. The ML-based PHQ-9 items 2 and 4 (phq2&4), the depressed mood and low-energy item pairing, and PHQ-9 items 2 and 8 (phq2&8), the depressed mood and psychomotor retardation or agitation item pairing, were found to be the best on the primary data set training split. They generalized well on the primary data set test split with area under the curves (AUCs) of 0.954 and 0.946, respectively, compared with an AUC of 0.942 for the PHQ-2. The phq2&4 had a higher AUC than the PHQ-2 on all 6 external data sets, and the phq2&8 had a higher AUC than the PHQ-2 on 3 data sets. The phq2&4 had the highest Youden index (an unweighted average of sensitivity and specificity) on 2 external data sets, and the phq2&8 had the highest Youden index on another 2. The PHQ-2≥2 cutoff also had the highest Youden index on 2 external data sets, joint highest with the phq2&4 on 1, but its performance fluctuated the most. The PHQ-2≥3 cutoff had the highest Youden index on 1 external data set. The sensitivity and specificity achieved by the phq2&4 and phq2&8 were more evenly balanced than the PHQ-2≥2 and ≥3 cutoffs. The PHQ-2 did not prove to be a more effective prescreening instrument when compared with other PHQ-9 item pairings. Evaluating all item pairings showed that, compared with alternative partner items, the anhedonia item underperformed alongside the depressed mood item. This suggests that the inclusion of anhedonia as a core symptom of depression and its presence in ultrabrief questionnaires may be incompatible with the empirical evidence. The use of the PHQ-2 to prescreen for depressive symptomatology could result in a greater number of misclassifications than alternative item pairings.

Hearing loss, depression, and cognition in younger and older adult CI candidates.

Hearing loss in old age is associated with cognitive decline and with depression. Our study aimed to investigate the relationship between hearing loss, cognitive decline, and secondary depressive symptoms in a sample of younger and older cochlear implant candidates with profound to severe hearing loss. This study is part of a larger cohort study designated to provide information on baseline data before CI. Sixty-one cochlear implant candidates with hearing loss from adulthood onwards (>18 years) were enrolled in this study. All had symmetrical sensorineural hearing loss in both ears (four-frequency hearing threshold difference of no more than 20 dB, PTA). Individuals with primary affective disorders, psychosis, below-average intelligence, poor German language skills, visual impairment, and a medical diagnosis with potential impact on cognition (e.g., neurodegenerative diseases,) were excluded. Four-frequency hearing thresholds (dB, PTA, better ear) were collected. Using the Abbreviated Profile of Hearing Aid Benefit, we assessed subjective hearing in noise. Clinical and subclinical depressive symptoms were assessed with the Beck Depression Inventory (BDI II). Cognitive status was assessed with a neurocognitive test battery. Our findings revealed a significant negative association between subjective hearing in noise (APHAB subscale "Background Noise") and BDII. However, we did not observe any link between hearing thresholds, depression, and cognition. Additionally, no differences emerged between younger (25-54 years) and older subjects (55-75 years). Unexpectedly, further unplanned analyses unveiled correlations between subjective hearing in quiet environments (APHAB) and cognitive performance [phonemic fluency (Regensburg Word Fluency), cognitive flexibility (TMTB), and nonverbal episodic memory (Nonverbal Learning Test), as well as subjective hearing of aversive/loud sounds (APHAB)], cognitive performance [semantic word fluency (RWT), and inhibition (Go/Nogo) and depression]. Duration of hearing loss and speech recognition at quiet (Freiburg Monosyllables) were not related to depression and cognitive performance. Impact of hearing loss on mood and cognition appears to be independent, suggesting a relationship with distinct aspects of hearing loss. These results underscore the importance of considering not only conventional audiometric measures like hearing thresholds but also variables related to hearing abilities during verbal communication in everyday life, both in quiet and noisy settings.

ZHANG Jian-bin's clinical experience in treatment of depressive disorder based on the theory of governor vessel

Depressive disorder is manifested as emotional and physical abnormality. Theoretically, the governor vessel is distributed along the spine, related to the brain and communicated with five zang and six fu organs. It is the key meridian for understanding the various symptoms of depressive disorder. Depressive disorder is caused by dysfunction, stagnation or emptiness of the governor vessel, resulting in malnutrition of the brain. In clinical diagnosis and treatment, based on the theory of the governor vessel, the etiology and pathogenesis are analyzed in the patients with depressive disorder. In order to achieve harmonizing mutually the mental and physical conditions, acupuncture is delivered to adjust the spirit and physical state, moving cupping is to regulate the governor vessel, tuina manipulation is to promote meridians and collaterals and physical exercise is to coordinate the body and the spirit.