"Surrounded, detached": the relationship between defensive peripersonal space and personality.

Introduction: Personality shapes the cognitive, affective, and behavioral interactions between individuals and the environment. Defensive peripersonal space (DPPS) is the projected interface between the body and the world with a protective function for the body. Previous studies suggest that DPPS displays inter-individual variability that is associated with psychiatric symptoms, such as anxiety. However, DPPS may share a link with personality traits. Methods: Fifty-five healthy participants were assessed with the Personality Inventory for DSM-5 (PID-5)-Adult to evaluate personality dimensions. Subjects underwent the Hand Blink Reflex (HBR) task that estimates the DPPS limits by assessing the modulation of blink intensity in response to the median nerve stimulation. Data of the HBR was analyzed with Bayesian multilevel models, while the relationship between DPPS and personality traits was explored using network analysis. Results: HBR was best modeled using a piecewise linear regression model, with two distinct slope parameters for electromyographic data. Network analyzes showed a positive correlation between the proximal slope and detachment personality trait, suggesting that individuals with higher scores in the detachment trait had an increased modulation of HBR, resulting in a larger extension of the DPPS. Discussion: Features of the detachment personality trait include avoidance of interpersonal experiences, restricted affectivity, and suspiciousness, which affect interpersonal functioning. We suggest that DPPS may represent a characteristic feature of maladaptive personality traits, thus constitute a biomarker or a target for rehabilitative interventions.

The role of pharmacogenomics in precision psychiatry.

The field of psychiatry is facing an important paradigm shift in the provision of clinical care and mental health service organization toward personalization and integration of multimodal data science. This approach, termed precision psychiatry, aims at identifying subgroups of patients more prone to the development of a certain phenotype, such as symptoms or severe mental disorders (risk detection), and/or to guide treatment selection. Pharmacogenomics and computational psychiatry are two fundamental tools of precision psychiatry, which have seen increasing levels of integration in clinical settings. Here we present a brief overview of these two applications of precision psychiatry in clinical settings.

The facets of psychopathology in patients with cancer: Cross-sectional and longitudinal network analyses.

OBJECTIVE: Cancer patients display heterogeneous psychopathology, comprising depressive, anxiety, hostility, and somatic symptoms. Often, clinical pictures evolve over time deteriorating the individual functioning and prognosis. Network models can reveal the relationships between symptoms, thus providing clinical insights. METHOD: This study examined data of the Brief Symptom Inventory and the Distress Thermometer, from 1108 cancer outpatients. Gaussian Graphical Models were estimated using regularized and non-regularized Bayesian methods. In addition, we used community detection methods to identify the most relevant symptom groupings, and longitudinal network analyses on 515 participants to examine the connections between symptoms over three months. RESULTS: The network models derived from baseline data suggested symptoms clustered into three main complexes (depression/anxiety, hostility, and somatic symptoms). Symptoms related to depression and hostility were highly connected with suicidal and death thoughts. Faintness, weakness, chest pain, and dyspnoea, among somatic symptoms, were more strongly connected with psychopathological features. Longitudinal analyses revealed that sadness, irritability, nervousness, and tension predicted each other. Panic and death thoughts predicted fearfulness and faintness. CONCLUSIONS: Somatic symptoms, sadness, irritability, chronic and acute anxiety interact between each other, shaping the heterogeneous clinical picture of distress in cancer. This study, strengthened by robust methods, is the first to employ longitudinal network analyses in cancer patients. Further studies should evaluate whether targeting specific symptoms might prevent the onset of chronic distress and improve clinical outcomes in cancer patients.

Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment.

PURPOSE OF REVIEW: This review will cover the most relevant findings on the use of machine learning (ML) techniques in the field of non-affective psychosis, by summarizing the studies published in the last three years focusing on illness detection and treatment. RECENT FINDINGS: Multiple ML tools that include mostly supervised approaches such as support vector machine, gradient boosting, and random forest showed promising results by applying these algorithms to various sources of data: socio-demographic information, EEG, language, digital content, blood biomarkers, neuroimaging, and electronic health records. However, the overall performance, in the binary classification case, varied from 0.49, which is to be considered very low (i.e., noise), to over 0.90. These results are fully justified by different factors, some of which may be attributable to the preprocessing of the data, the wide variety of the data, and the a-priori setting of hyperparameters. One of the main limitations of the field is the lack of stratification of results based on biological sex, given that psychosis presents differently in men and women; hence, the necessity to tailor identification tools and data analytic strategies. Timely identification and appropriate treatment are key factors in reducing the consequences of psychotic disorders. In recent years, the emergence of new analytical tools based on artificial intelligence such as supervised ML approaches showed promises as a potential breakthrough in this field. However, ML applications in everyday practice are still in its infancy.

Expression of type 1 cannabinoid receptor gene in bipolar disorder.

BACKGROUND: The Endocannabinoid System (ECBs) may have a crucial role in bipolar disorder (BD). Previous reports have not detected abnormalities in the expression of the cannabinoid receptor gene CNR1, encoding for CB1. However, we hypothesized that differentiating between mania and depression may uncover differences in CNR1 expression levels. METHODS: We recruited 44 subjects with BD type I (BD-I), in mania (n = 22) and depression (n = 22) and 25 Healthy Controls (HC). CNR1 gene expression was analyzed using a quantitative real-time polymerase chain reaction from peripheral blood mononuclear cells. Data were analyzed using frequentist non-parametric and Bayesian approaches (generalized location-scale model based on lognormal and gamma distributions). RESULTS: Using the frequentist non-parametric approach, the depression group had lower CNR1 expression compared to the mania group (p = 0.004). In addition, there was a negative correlation between CNR1 expression and Hamilton Depression Scale score (rho = -0.37; p = 0.007). Bayesian analyses further revealed that CNR1 expression in the mania group was higher and less variable than among HC (>95% probability), while CNR1 expression in the depression group was lower and more variable than among HC (100% probability). LIMITATIONS: Lack of participants with bipolar disorder in the euthymic phase, lack of toxicology screening and evaluation of CNR1 variants. CONCLUSION: CNR1 expression is higher and less variable in mania than in depression. It is highly probable that these differences also distinguish individuals in different illness phases from healthy controls. Future studies are needed to clarify the role of the endocannabinoid system in bipolar disorder.

Suicide risk in medically ill inpatients referred to consultation-liaison psychiatric services: A multicenter study.

BACKGROUND: The aim of this multicenter study was to investigate the suicide risk in medically ill patients admitted to six Italian hospitals for whom a consultation-liaison intervention was requested. METHODS: Participants completed socio-demographic and clinical report forms and the Brief Illness Perception Questionnaire. Suicidality was assessed using the P4 screener that investigates the presence of Past suicide attempts, Plans to commit a suicide, Probability of completing suicide, and Preventive factors. Participants were categorized as being at no, low or high suicide risk. Univariate and multivariable associations of categorical and continuous variables with suicide risk were investigated using multinomial logistic regression. RESULTS: Of the 641 inpatients, with mean age 60 years (SD = 16.9) and 49.2 % male, 13.2 % were at high suicidal risk (HR), 7.6 % low risk (LR) and 79.2 % no risk. Contacts with psychiatrists in the previous six months were associated with LR and HR (OR = 2.159 and 2.634, respectively), ongoing benzodiazepine use was associated with a threefold likelihood of LR (OR = 3.005), and the experienced intensity of illness symptoms was associated with LR and HR (OR = 1.257 and OR = 1.248, respectively). CL psychiatrists prescribed appropriate psychotropic drugs and activated liaison interventions and psychological support for the level of suicidal risk. LIMITATIONS: The use of self-report measures bears the risk of recall bias. CONCLUSIONS: Our findings based on psychiatric consultations in the general hospital underscore the need to include suicide risk in the routine assessment of inpatients referred to CL psychiatric services and to plan an appropriate management of suicidal risk after discharge.

Depressive and anxiety symptoms in patients with COPD: A network analysis.

BACKGROUND: Individuals with Chronic Obstructive Pulmonary Disease (COPD) often develop anxiety and depression, which worsen illness management and prognosis. Physical and psychological symptoms, contextual and illness-related factors display complex reciprocal interactions, which give rise to heterogeneous presentations. Examining the patterns of association between specific physical and psychological symptoms in patients with COPD may help to focus on the precision of the patient-centred care. RESEARCH QUESTION: We used network analyses to examine the links between symptoms of COPD, depression and anxiety. METHODS: Data from 1587 individuals with COPD from the COPDGene study were included. We estimated a Bayesian Gaussian Graphical Model to highlight the unique associations between symptoms of COPD (assessed with the COPD Assessment Test), depression and anxiety (assessed with the Hospital Anxiety and Depression Scale (HADS), while examining the role of sociodemographic characteristics, lung function tests, and health status. RESULTS: Unique Variable Analysis reduced 14 HADS items to Tension/worry (chronic anxiety), Fear/panic (acute anxiety), Restlessness, Anhedonia, Sadness and Slowing. In network analyses, chest-tightness was related to acute anxiety, while cough and weakness were connected with core depressive symptoms (sadness and lack of pleasure). Chronic anxiety was linked with acute anxiety and depressive symptoms. Findings were confirmed accounting for the role of confounders, including lung function, sex, ethnicity and lifestyle factors. A simulation based on our model yielded distinct predictions about anxiety and depression in two participants with similar COPD severity, but different symptom profiles. CONCLUSION: Network analyses highlighted specific associations between symptoms of COPD, depression and anxiety. Accounting for symptom-level interactions may help to promote personalized treatment approaches.

A comparison of Dignity Therapy narratives among people with severe mental illness and people with cancer.

OBJECTIVE: To examine Dignity Therapy (DT) narratives in patients with severe mental illness (SMI) and a control group of cancer patients. METHODS: 12 patients with SMI (schizophrenia, bipolar disorders, sever personality disorders) and 12 patients with non-advanced cancer individually participated to DT interviews. DT was tape-recorded, transcribed verbatim and shaped into a narrative through a preliminary editing process. A session was dedicated to the final editing process along with the participant, with a final written legacy (generativity document) provided to the participant. Interpretative Phenomenological Analysis was used to qualitatively analyze the generativity documents. RESULTS: Patients with SMI and patients with cancer presented similar main narrative categories relative to dignity, such as "Meaning making", "Resources", "Legacy", "Dignity"; in addition, inpatients with SMI "Stigma" and inpatients with cancer "Injustice" emerged as separate categories. Patients in both groups strongly appreciated DT as an opportunity to reflect on their life story and legacy. CONCLUSIONS: The study showed that DT is a valuable intervention for people with SMI, grounded in a practical, person-centered approach. All patients found DT as an opportunity to describe their past and present, highlighting changes in the way they relate to themselves and others. These results can guide implementation of DT in mental health settings for people with SMI, as it is for people with cancer.

Post-traumatic Stress Symptoms and Serotonin Transporter (5-HTTLPR) Polymorphism in Breast Cancer Patients.

Introduction: Post-traumatic Symptoms (PTSS) and Post-traumatic Stress Disorder (PTSD) have been reported to affect a quite significant proportion of cancer patients. No study has examined the relationship between serotonin transporter gene-linked polymorphic region (5-HTTLPR) and cancer, including Gene-Environment interactions between this polymorphism and specific causes of distress, such as cancer related problems (CRP) or life stressful events (SLE). Methods: One hundred and forty five breast cancer outpatients participated in the study and were assessed using the Impact of Event Scale (IES), the Problem List (PL) developed by the National Comprehensive Cancer Network (NCCN) Distress Management Guidelines and the Paykel's Life Events Interview to evaluate the exposure to SLE during the year before the cancer diagnosis. Each patient was genotyped for 5-HTTLPR polymorphism by analyzing genomic DNA obtained from whole blood cells. Gene-Environment interactions were tested through moderation analysis. Results: Twenty-six patients (17.7%) were classified as PTSS cases using the IES. Genotype and phenotype distributions did not differ across individuals with/without PTSS (genotype: χ2 = 1.5; df = 2; p = 0.3; phenotype χ2 = 0.9; df = 1; p = 0.2). For both the genotype and phenotype model, using CRP as a predictor showed significant gene-environment interactions with IES total score (p = 0.020 and p = 0.004, respectively), with individuals carrying the l/l allele showing a greater probability of experiencing PTSS. No interaction was found in relationship to SLE (p = 0.750). Conclusion: This study showed a significant GEI between CRP and PTSS in breast cancer patients, with carriers of the l/l allele showing indicators consistent with greater sensitivity to stress.

Association between Type-D Personality and Affective (Anxiety, Depression, Post-traumatic Stress) Symptoms and Maladaptive Coping in Breast Cancer Patients: A Longitudinal Study.

Background: Type-D (distressed) personality has not been prospectively explored for its association with psychosocial distress symptoms in breast cancer patients. Objective: The objective of the study was to test the hypothesis that Type-D personality can be associated with psychosocial distress variables in cancer over a 2-point period (6 month-follow-up). Aims: The aim of the study was to analyze the role of Type-D personality in relation to anxiety, depression, post-traumatic stress symptoms, general distress, and maladaptive coping among cancer patients. Methods: 145 breast cancer patients were assessed within 6 months from diagnosis (T0) and again 6 months later (T1). The Type-D personality Scale, the Hospital Anxiety and Depression Scale, Depression subscale (HAD-D), the Brief Symptom Inventory (BSI-18) Anxiety subscale, the Distress Thermometer (DT), the Post-traumatic Symptoms (PTS) Impact of Event Scale (IES), and the Mini Mental Adjustment to Cancer (Mini-MAC) Anxious Preoccupation and Hopelessness scales were individually administered at T0 and T1. Results: One-quarter of cancer patients met the criteria for Type-D personality, which was stable over the follow-up time. The two main constructs of Type-D personality, namely social inhibition (SI) and negative affectivity (NA), were related to anxiety, depression, PTS, BSI-general distress and maladaptive coping (Mini-MAC anxious preoccupation and hopelessness). In regression analysis, Type-D SI was the most significant factor associated with the above-mentioned psychosocial variables, both at T0 and T1. Conclusion: Likewise other medical disorders (especially cardiology), Type-D personality has been confirmed to be a construct significantly related to psychosocial distress conditions and maladaptive coping that are usually part of assessment and intervention in cancer care. More attention to personality issues is important in oncology.

Effectiveness of a brief manualized intervention, Managing Cancer and Living Meaningfully (CALM), adapted to the Italian cancer care setting: Study protocol for a single-blinded randomized controlled trial.

Patients with advanced cancer suffer from psychosocial distress that may impair quality of life and that may be ameliorated by psychotherapeutic treatment. We describe here the methodology of a randomized controlled trial (RCT) to assess the effectiveness of a novel, brief, semi-structured psychotherapeutic intervention to reduce distress and increase well-being in patients with advanced or metastatic cancer. The intervention, called Managing Cancer and Living Meaningfully (CALM), was originally developed in Canada and we are now testing its Italian adaptation (CALM-IT). The study is a single-blinded phase III RCT with assessment at baseline, 3 and 6 months with two conditions: CALM-IT versus a nonspecific supportive intervention (SPI). Eligibility criteria include: ≥ 18 years of age; fluency in the Italian language; no cognitive deficit, and diagnosis of advanced or metastatic cancer with an expected survival of 12-18 months. CALM-IT includes up to 12 sessions, delivered over 6 months and covers 4 domains: i) Symptom Management and Communication with Health Care Providers; ii) Changes in Self and Relations with Close Others; iii) Sense of Meaning and Purpose; and iv) the Future and Mortality. The primary outcome is difference in severity of depressive symptoms between treatment arm and the primary endpoint is 6 months. The secondary endpoint is 3 months and secondary outcomes are: generalized anxiety, distress about dying and death, demoralization, spiritual well-being, attachment security, posttraumatic growth, communication with partners, quality of life, and satisfaction with clinical care. If shown to be effective, CALM-IT can be implemented nationally to relieve distress and to promote psychological well-being in patients with advanced cancer.

Exploring and assessing demoralization in patients with non-psychotic affective disorders.

BACKGROUND: Demoralization, as assessed through the Diagnostic Criteria for Psychosomatic Research-Demoralization (DCPR/D) interview or the Demoralization Scale (DS), has been found to affect about 30% of patients with medical disorders, while few studies have been done in patients with psychiatric disorders. METHODS: A convenience sample of 377 patients with ICD-10 diagnoses of mood, anxiety, stress-related disorders or other non-psychotic disorders was recruited from two Italian university psychiatry centers. The DCPR/D interview and the Italian version of the DS (DS-IT) were used to assess demoralization and the Patient Health Questionnaire-9 (PHQ-9) to assess depression. RESULTS: Demoralization was diagnosable in more than 50% of the patients. Factor analysis of the DS-IT indicated four main factors, Meaninglessness/Helplessness, Disheartenment, Dysphoria and Sense of Failure, explaining 62% of the variance of the scale. Patients with bipolar or unipolar major depression and personality disorders had the highest prevalence of demoralization (DCPR/D) and the highest scores on all the DS-IT factors in comparison with patients with adjustment or anxiety disorders. About 50% of patients with moderate demoralization (DS-IT) were not clinically depressed (PHQ-9 <10), while almost all with severe demoralization were depressed. LIMITATIONS: Prospective studies on larger samples with other psychiatric disorders, also taking into account subjective incompetence, are needed. Since the DCPR/D assesses demoralization as a categorical construct, a dimensional framework should be necessary. CONCLUSIONS: The findings enrich the research on demoralization, showing for the first time the importance of this construct, as measured by the DCPR/D and the DS-IT, in patients with psychiatric disorders.

Red-hot chili receptors: A systematic review of TRPV1 antagonism in animal models of psychiatric disorders and addiction.

Transient Receptor Potential Vanilloid 1 (TRPV1) channels are non-selective cationic polymodal receptors gated by several different chemical and physical stimuli. TRPV1 receptors are distributed in several brain areas and interact with important neurotransmitter systems linked to mental disorders, such as endocannabinoid and opioid systems. The increasing number of results obtained in this field has recently attracted growing attention to these receptors as potential targets for the treatment of different psychiatric conditions. To review the available results on this topic, we searched on PubMed, Embase and Science Direct databases up to May 2020 using the following search string: "TRPV1", thus including a total of 48 studies. The results, still limited to preclinical studies, suggest that TRPV1 antagonism could represent a potential mechanism for the treatment of depression and anxiety, as well as for opioids, methamphetamine and cocaine addiction. Few available results consider schizophrenia-like behaviours, suggesting an intriguing role of TRPV1 receptors in the neurobiology of major psychoses. Single studies report the effectiveness of TRPV1 antagonists in animal models of obsessive-compulsive disorder and fibromyalgia. Future preclinical and clinical studies are required to shed further light on the feasibility of the use of TRPV1 modulators in psychopharmacology.

The association between insight and depressive symptoms in schizophrenia: Undirected and Bayesian network analyses.

BACKGROUND: Greater levels of insight may be linked with depressive symptoms among patients with schizophrenia, however, it would be useful to characterize this association at symptom-level, in order to inform research on interventions. METHODS: Data on depressive symptoms (Calgary Depression Scale for Schizophrenia) and insight (G12 item from the Positive and Negative Syndrome Scale) were obtained from 921 community-dwelling, clinically-stable individuals with a DSM-IV diagnosis of schizophrenia, recruited in a nationwide multicenter study. Network analysis was used to explore the most relevant connections between insight and depressive symptoms, including potential confounders in the model (neurocognitive and social-cognitive functioning, positive, negative and disorganization symptoms, extrapyramidal symptoms, hostility, internalized stigma, and perceived discrimination). Bayesian network analysis was used to estimate a directed acyclic graph (DAG) while investigating the most likely direction of the putative causal association between insight and depression. RESULTS: After adjusting for confounders, better levels of insight were associated with greater self-depreciation, pathological guilt, morning depression and suicidal ideation. No difference in global network structure was detected for socioeconomic status, service engagement or illness severity. The DAG confirmed the presence of an association between greater insight and self-depreciation, suggesting the more probable causal direction was from insight to depressive symptoms. CONCLUSIONS: In schizophrenia, better levels of insight may cause self-depreciation and, possibly, other depressive symptoms. Person-centered and narrative psychotherapeutic approaches may be particularly fit to improve patient insight without dampening self-esteem.•Better insight seems associated with depressive symptoms in schizophrenia.•Network analyses were used to explore this association in a large sample.•Insight was associated with self-depreciation, guilt, and suicidal ideation.•Although cross-sectional, data suggest causal direction from insight to depression.

Risk Prediction Model for Late Life Depression: Development and Validation on Three Large European Datasets.

Assessing the risk to develop a specific disease is the first step towards prevention, both at individual and population levels. The development and validation of risk prediction models (RPMs) is the norm within different fields of medicine but still underused in psychiatry, despite the global impact of mental disorders. In particular, there is a lack of RPMs to assess the risk of developing depression, the first worldwide cause of disability and harbinger of functional decline in old age. We present the depression risk assessment tool DRAT-up, the first prospective RPM to identify late-life depression among community-dwelling subjects aged 60-75. The development of DRAT-up was based on appraisal of relevant literature, extraction of robust risk estimates, and integration into model parameters. A unique feature is the ability to estimate risk even in the presence of missing values. To assess the properties of DRAT-up, a validation study was conducted on three European cohorts, namely, the English Longitudinal Study of Ageing, the Invecchiare nel Chianti, and the Irish Longitudinal Study on Ageing, with 20 206, 1359, and 3124 eligible samples, respectively. The model yielded accurate risk estimation in the three datasets from a small number of predictors. The Brier scores were 0.054, 0.133, and 0.041, respectively, while the values of area under the curve (AUC) were 0.761, 0.736, and 0.768, respectively. Sensitivity analyses suggest robustness to missing values: setting any individual feature to unknown caused the Brier scores to increase by 0.004 and the AUCs to decrease by 0.045 in the worst cases. DRAT-up can be readily used for clinical purposes and to aid policy-making in the field of mental health.

Interplay Among Psychopathologic Variables, Personal Resources, Context-Related Factors, and Real-life Functioning in Individuals With Schizophrenia: A Network Analysis.

Importance: Enhanced understanding of factors associated with symptomatic and functional recovery is instrumental to designing personalized treatment plans for people with schizophrenia. To date, this is the first study using network analysis to investigate the associations among cognitive, psychopathologic, and psychosocial variables in a large sample of community-dwelling individuals with schizophrenia. Objective: To assess the interplay among psychopathologic variables, cognitive dysfunctions, functional capacity, personal resources, perceived stigma, and real-life functioning in individuals with schizophrenia, using a data-driven approach. Design, Setting, and Participants: This multicenter, cross-sectional study involved 26 university psychiatric clinics and/or mental health departments. A total of 921 community-dwelling individuals with a DSM-IV diagnosis of schizophrenia who were stabilized on antipsychotic treatment were recruited from those consecutively presenting to the outpatient units of the sites between March 1, 2012, and September 30, 2013. Statistical analysis was conducted between July 1 and September 30, 2017. Main Outcomes and Measures: Measures covered psychopathologic variables, neurocognition, social cognition, functional capacity, real-life functioning, resilience, perceived stigma, incentives, and service engagement. Results: Of 740 patients (221 women and 519 men; mean [SD] age, 40.0 [10.9] years) with complete data on the 27 study measures, 163 (22.0%) were remitted (with a score of mild or better on 8 core symptoms). The network analysis showed that functional capacity and everyday life skills were the most central and highly interconnected nodes in the network. Psychopathologic variables split in 2 domains, with positive symptoms being one of the most peripheral and least connected nodes. Functional capacity bridged cognition with everyday life skills; the everyday life skills node was connected to disorganization and expressive deficits. Interpersonal relationships and work skills were connected to avolition; the interpersonal relationships node was also linked to social competence, and the work skills node was linked to social incentives and engagement with mental health services. A case-dropping bootstrap procedure showed centrality indices correlations of 0.75 or greater between the original and randomly defined samples up to 481 of 740 case-dropping (65.0%). No difference in the network structure was found between men and women. Conclusions and Relevance: The high centrality of functional capacity and everyday life skills in the network suggests that improving the ability to perform tasks relevant to everyday life is critical for any therapeutic intervention in schizophrenia. The pattern of network node connections supports the implementation of personalized interventions.

Physical exercise for late-life depression: Effects on symptom dimensions and time course.

BACKGROUND: Physical exercise is increasingly recognized as a treatment for major depression, even among older patients. However, it is still unknown which depressive symptoms exercise affects most, (e.g. somatic vs. affective) and the timing of its effects. Thus, the aim of this study was to examine the changes of depressive symptoms after treatment with exercise. METHODS: We analyzed data from the SEEDS study, a trial comparing the antidepressant effectiveness of sertraline (S) and sertraline plus exercise (S+EX). Exercise was delivered thrice weekly in small groups and monitored by heart rate meters. Patients with late life depression (n=121) were assessed at baseline, 4, 8, 12 and 24 weeks with the Hamilton Depression Scale. Scores of affective, vegetative, anxiety and agitation/insight factors were analyzed using Multilevel Growth Curve Models and sensitivity analyses (multiple imputation). RESULTS: Compared with the S group, patients in the S+EX group displayed significantly greater improvements of the affective symptom dimension (total effect size = 0.79) with largest changes in the first 4 weeks and last 12 weeks. Improvements were mainly driven by depressed mood and psychomotor retardation. LIMITATIONS: Sample size; lack of an exercise only treatment arm CONCLUSIONS: Adding exercise to antidepressant drug treatment may offer significant advantages over affective symptoms of depression, rather than somatic symptoms or other dimensions of depression. Compared with standard antidepressant treatment, clinical advantages should be expected both at an early (first 4 weeks) and later stage (after 12 weeks).

Exercise as antidepressant treatment: Time for the transition from trials to clinic?

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