Changes in Population Health-Related Behaviors During a COVID-19 Surge: A Natural Experiment.

BACKGROUND: The study of impact of lockdowns on individual health-related behaviors has produced divergent results. PURPOSE: To identify patterns of change in multiple health-related behaviors analyzed as a whole, and their individual determinants. METHODS: Between March and August 2020, we collected data on smoking, alcohol, physical activity, weight, and sleep in a population-based cohort from Catalonia who had available pre-pandemic data. We performed multiple correspondence and cluster analyses to identify patterns of change in health-related behaviors and built multivariable multinomial logistic regressions to identify determinants of behavioral change. RESULTS: In 10,032 participants (59% female, mean (SD) age 55 (8) years), 8,606 individuals (86%) modified their behavior during the lockdown. We identified five patterns of behavioral change that were heterogeneous and directed both towards worsening and improvement in diverse combinations. Patterns ranged from "global worsening" (2,063 participants, 21%) characterized by increases in smoking, alcohol consumption, and weight, and decreases in physical activity levels and sleep time, to "improvement" (2,548 participants, 25%) characterized by increases in physical activity levels, decreases in weight and alcohol consumption, and both increases and decreases in sleep time. Being female, of older age, teleworking, having a higher education level, assuming caregiving responsibilities, and being more exposed to pandemic news were associated with changing behavior (all p < .05), but did not discriminate between favorable or unfavorable changes. CONCLUSIONS: Most of the population experienced changes in health-related behavior during lockdowns. Determinants of behavior modification were not explicitly associated with the direction of changes but allowed the identification of older, teleworking, and highly educated women who assumed caregiving responsibilities at home as susceptible population groups more vulnerable to lockdowns.

Lockdowns implemented during the first surge of the COVID-19 pandemic created highly disruptive scenarios impacting many aspects of life, including health-related behaviors. While early studies on isolated health-related behaviors partly aid in the understanding of changes in some of these behaviors, there is robust evidence supporting the idea that health-related behaviors and their changes often co-occur and should be studied and analyzed as a whole. Hence, in this study, we used hypothesis-free methods to identify inter-dependent patterns of change in health-related behaviors including tobacco smoking, alcohol consumption, physical activity, sleep, and weight in a population-based sample of 10,032 adults from Catalonia, Spain. We found that 86% of participants modified their health-related behavior during the lockdown as we identified five patterns of behavioral change, ranging from general worsening to improvement, in diverse combinations. Additionally, we found that being female, older age, teleworking, highly educated, assuming caregiving responsibilities, and having a high exposure to pandemic news were main the determinants of patterns characterized by changing behaviors (both worsening and improving). Overall, our results highlight the heterogeneity, co-occurrence, and inter-play between health-related behaviors under a natural experiment, and identify common demographic, socio-environmental and behavioral factors that might predict changes in behavior.

SARS-CoV-2 infection, vaccination, and antibody response trajectories in adults: a cohort study in Catalonia.

BACKGROUND: Heterogeneity of the population in relation to infection, COVID-19 vaccination, and host characteristics is likely reflected in the underlying SARS-CoV-2 antibody responses. METHODS: We measured IgM, IgA, and IgG levels against SARS-CoV-2 spike and nucleocapsid antigens in 1076 adults of a cohort study in Catalonia between June and November 2020 and a second time between May and July 2021. Questionnaire data and electronic health records on vaccination and COVID-19 testing were available in both periods. Data on several lifestyle, health-related, and sociodemographic characteristics were also available. RESULTS: Antibody seroreversion occurred in 35.8% of the 64 participants non-vaccinated and infected almost a year ago and was related to asymptomatic infection, age above 60 years, and smoking. Moreover, the analysis on kinetics revealed that among all responses, IgG RBD, IgA RBD, and IgG S2 decreased less within 1 year after infection. Among vaccinated, 2.1% did not present antibodies at the time of testing and approximately 1% had breakthrough infections post-vaccination. In the post-vaccination era, IgM responses and those against nucleoprotein were much less prevalent. In previously infected individuals, vaccination boosted the immune response and there was a slight but statistically significant increase in responses after a 2nd compared to the 1st dose. Infected vaccinated participants had superior antibody levels across time compared to naïve-vaccinated people. mRNA vaccines and, particularly the Spikevax, induced higher antibodies after 1st and 2nd doses compared to Vaxzevria or Janssen COVID-19 vaccines. In multivariable regression analyses, antibody responses after vaccination were predicted by the type of vaccine, infection age, sex, smoking, and mental and cardiovascular diseases. CONCLUSIONS: Our data support that infected people would benefit from vaccination. Results also indicate that hybrid immunity results in superior antibody responses and infection-naïve people would need a booster dose earlier than previously infected people. Mental diseases are associated with less efficient responses to vaccination.

Higher order theory of mind in patients with bipolar disorder and schizophrenia/schizoaffective disorder.

Some evidence suggests that patients with bipolar disorder (BD) have better Theory of Mind (ToM) skills than patients with schizophrenia/schizoaffective disorder (SCH). However, this difference is not consistently reported across studies, so rather than being global, it may be restricted to specific aspects of ToM. Our primary objective was to compare higher order ToM performance between BD and SCH patients using the Hinting Task (HT). Ninety-four remitted patients were recruited (BD = 47, SCH = 47). Intelligence quotient (IQ), attention, memory, executive functions, and processing speed were also assessed. Patients with BD performed better on the HT than patients with SCH, even when the analysis was adjusted for IQ and neurocognition (p < 0.001, [Formula: see text] = 0.144). Regression analysis in the total sample showed that a diagnosis of SCH and lower IQ were associated with lower HT scores (R2 = 0.316, p < 0.001). In the BD group, verbal memory and processing speed were the main predictors of HT performance (R2 = 0.344, p < 0.001). In the SCH group, no variable was significant in explaining HT performance. In the context of previous studies that found no significant differences in the most basic aspects of ToM (e.g., understand other people's thoughts/beliefs), our results suggest that differences between the two disorders might be limited to the more challenging aspects (e.g., understand the intended meaning of indirect requests). No causal inferences can be made in this cross-sectional study. However, regression analyses show that whereas in BD patients, ToM functioning would be partially modulated by neurocognitive performance, in SCH patients, it could be largely independent of the well-known neurocognitive impairment.

Group and sex differences in social cognition in bipolar disorder, schizophrenia/schizoaffective disorder and healthy people.

BACKGROUND: Impairment of social cognition is documented in bipolar disorder (BD) and schizophrenia/schizoaffective disorder (SCH). In healthy individuals, women perform better than men in some of its sub-domains. However, in BD and SCH the results are mixed. Our aim was to compare emotion recognition, affective Theory of Mind (ToM) and first- and second-order cognitive ToM in BD, SCH and healthy subjects, and to investigate sex-related differences. METHODS: 120 patients (BD = 60, SCH = 60) and 40 healthy subjects were recruited. Emotion recognition was assessed by the Pictures of Facial Affect (POFA) test, affective ToM by the Reading the Mind in the Eyes Test (RMET) and cognitive ToM by several false-belief stories. Group and sex differences were analyzed using parametric (POFA, RMET) and non-parametric (false-belief stories) tests. The impact of age, intelligence quotient (IQ) and clinical variables on patient performance was examined using a series of linear/logistic regressions. RESULTS: Both groups of patients performed worse than healthy subjects on POFA, RMET and second-order false-belief (p < 0.001), but no differences were found between them. Instead, their deficits were related to older age and/or lower IQ (p < 0.01). Subthreshold depression was associated with a 6-fold increased risk of first-order false-belief failure (p < 0.001). Sex differences were only found in healthy subjects, with women outperforming men on POFA and RMET (p ≤ 0.012), but not on first/second-order false-belief. LIMITATIONS: The cross-sectional design does not allow for causal inferences. CONCLUSION: BD and SCH patients had deficits in emotion recognition, affective ToM, and second-order cognitive ToM, but their performance was comparable to each other, highlighting that the differences between them may be subtler than previously thought. First-order cognitive ToM remained intact, but subthreshold depression altered their normal functioning. Our results suggest that the advantage of healthy women in the emotional and affective aspects of social cognition would not be maintained in BD and SCH.

Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency.

BACKGROUND & OBJECTIVES: Mental health disorders pose an increasing public health challenge worsened by the COVID-19 pandemic. The pandemic highlighted gaps in preparedness, emphasizing the need for early identification of at-risk groups and targeted interventions. This study aims to develop a risk assessment tool for anxiety, depression, and self-perceived stress using machine learning (ML) and explainable AI to identify key risk factors and stratify the population into meaningful risk profiles. METHODS: We utilized a cohort of 9291 individuals from Northern Spain, with extensive post-COVID-19 mental health surveys. ML classification algorithms predicted depression, anxiety, and self-reported stress in three classes: healthy, mild, and severe outcomes. A novel combination of SHAP (SHapley Additive exPlanations) and UMAP (Uniform Manifold Approximation and Projection) was employed to interpret model predictions and facilitate the identification of high-risk phenotypic clusters. RESULTS: The mean macro-averaged one-vs-one AUROC was 0.77 (± 0.01) for depression, 0.72 (± 0.01) for anxiety, and 0.73 (± 0.02) for self-perceived stress. Key risk factors included poor self-reported health, chronic mental health conditions, and poor social support. High-risk profiles, such as women with reduced sleep hours, were identified for self-perceived stress. Binary classification of healthy vs. at-risk classes yielded F1-Scores over 0.70. CONCLUSIONS: Combining SHAP with UMAP for risk profile stratification offers valuable insights for developing effective interventions and shaping public health policies. This data-driven approach to mental health preparedness, when validated in real-world scenarios, can significantly address the mental health impact of public health crises like COVID-19.

Decoding depression by exploring the exposome-genome edge amidst COVID-19 lockdown.

Risk of depression increased in the general population after the COVID-19 pandemic outbreak. By examining the interplay between genetics and individual environmental exposures during the COVID-19 lockdown, we have been able to gain an insight as to why some individuals are more vulnerable to depression, while others are more resilient. This study, conducted on a Spanish cohort of 9218 individuals (COVICAT), includes a comprehensive non-genetic risk analysis, the exposome, complemented by a genomics analysis in a subset of 2442 participants. Depression levels were evaluated using the Hospital Anxiety and Depression Scale. Together with Polygenic Risk Scores (PRS), we introduced a novel score; Poly-Environmental Risk Scores (PERS) for non-genetic risks to estimate the effect of each cumulative score and gene-environment interaction. We found significant positive associations for PERSSoc (Social and Household), PERSLife (Lifestyle and Behaviour), and PERSEnv (Wider Environment and Health) scores across all levels of depression severity, and for PRSB (Broad depression) only for moderate depression (OR 1.2, 95% CI 1.03-1.40). On average OR increased 1.2-fold for PERSEnv and 1.6-fold for PERLife and PERSoc from mild to severe depression level. The complete adjusted model explained 16.9% of the variance. We further observed an interaction between PERSEnv and PRSB showing a potential mitigating effect. In summary, stressors within the social and behavioral domains emerged as the primary drivers of depression risk in this population, unveiling a mitigating interaction effect that should be interpreted with caution.

Childhood adversity modulates structural brain changes in borderline personality but not in major depression disorder.

Adverse childhood experiences (ACEs) negatively affect the function and structure of emotion brain circuits, increasing the risk of various psychiatric disorders. It is unclear if ACEs show disorder specificity with respect to their effects on brain structure. We aimed to investigate whether the structural brain effects of ACEs differ between patients with major depression (MDD) and borderline personality disorder (BPD). These disorders share many symptoms but likely have different etiologies. To achieve our goal, we obtained structural 3T-MRI images from 20 healthy controls (HC), 19 MDD patients, and 18 BPD patients, and measured cortical thickness and subcortical gray matter volumes. We utilized the Adverse Childhood Experiences (ACE) questionnaire to quantify self-reported exposure to childhood trauma. Our findings suggest that individuals with MDD exhibit a smaller cortical thickness when compared to those with BPD. However, ACEs showed a significantly affected relationship with cortical thickness in BPD but not in MDD. ACEs were found to be associated with thinning in cortical regions involved in emotional behavior in BPD, whereas HC showed an opposite association. Our results suggest a potential mechanism of ACE effects on psychopathology involving changes in brain structure. These findings highlight the importance of early detection and intervention strategies.

Twin-based study of the complex interplay between childhood maltreatment, socioeconomic status and adult memory.

Childhood maltreatment and low socioeconomic status (SES) are considered stressful environmental events with lasting detrimental effects on adult mental health and associated cognitive performance, such as memory. However, the association between childhood maltreatment and low SES remains unclear, probably due to design limitations and putative confounding factors. Particular concerns have been raised on genetic influences, as genetic background may modulate the effects of environmental stressors. The aim of the present study was to examine the effect of childhood maltreatment on adult memory in low- and high-SES subjects, free of confounding due to other environmental and genetic influences. A monozygotic twin design based on 188 healthy adult subjects (94 twin pairs) from the general population was conducted. This design based on genetically identical individuals allowed disentangling the unique environmental effects of childhood maltreatment on memory, which was explored in low and high SES. Results showed that the unique environmental effects of childhood maltreatment were only evident in the high-SES group (ß = -0.22; SE = 0.08; p < 0.01; 95 % CI = -0.375 to -0.066). By contrast, no evidence for this effect could be detected in the more stressful low-SES group. These results suggest that enriched environments may provide a more stable context where early stressful experiences can influence cognitive processes. This study provides preliminary support for the inclusion of environmental enrichment in studies addressing the impact of childhood maltreatment on adult cognition and psychiatric disorders.

Substantial genetic link between IQ and working memory: implications for molecular genetic studies on schizophrenia. the European twin study of schizophrenia (EUTwinsS).

While evidence is accumulating to support specific neurocognitive deficits as putative endophenotypes for schizophrenia, the heritability of these deficits in healthy subjects and whether they share common genetic influences, is not well established. In the present study, 529 healthy adult twins from two centers within the European Twin Study Network on Schizophrenia (EUTwinsS) were assessed on two domains that are consistently found to be particularly compromised in schizophrenia. Specifically, Intellectual Quotient Score (IQ) and the Letter-Number Sequencing Test (LNS), a measure of working memory, were measured in all twins. Latent variable components were explored through structural equation modeling, and common genetic underpinnings were examined using bivariate analyses. Results showed that the phenotypic correlation between IQ and working memory was almost entirely attributed to shared genetic variance (95.5%). We discuss the potential use of a combined measure of IQ and working memory to improve the power of molecular studies in detecting the genetic mechanisms underlying schizophrenia.

Non-communicable diseases among women survivors of intimate partner violence: Critical review from a chronic stress framework.

A neurobiological framework of chronic stress proposes that the stress-response system can be functionally altered by the repeated presentation of highly stressful situations over time. These functional alterations mainly affect brain processing and include the dysregulation of the hypothalamic-pituitary-adrenal axis and associated processes. In the present critical review, we translate these results to inform the clinical presentation of women survivors of intimate partner violence (IPV). We approach IPV as a scenario of chronic stress where women are repetitively exposed to threat and coping behaviours that progressively shape their neurobiological response to stress. The changes at the central and peripheral levels in turn correlate with the phenotypes of non-communicable diseases. The reviewed studies clarify the extent of the impact of IPV on women's health in large (N > 10,000) population-based designs, and provide observations on experimental neuroendocrine, immune, neurocognitive and neuroimaging research linking alterations of the stress-response system and disease. This evidence supports the prevention of violence against women as a fundamental action to reduce the prevalence of non-communicable diseases.

Distinct Neural Processing of Acute Stress in Major Depression and Borderline Personality Disorder.

BACKGROUND: Major depressive disorder (MDD) and borderline personality disorder (BPD) are highly prevalent and often comorbid psychiatric conditions, with abnormal processing of negative affect resulting from psychological stress. Characteristics of central processing of autonomic response to stress in each disorder are not clearly settled. METHODS: We obtained whole brain 3T fMRI with concurrent skin conductance, respiration rate, and heart rate variability measures in a cohort of MDD (N=19), BPD (N=19) patients, and healthy (N=20) individuals. Experiments were conducted in resting conditions, during a control mental arithmetic task, during highly stressful mental arithmetic, and in the period immediately following psychological stress. RESULTS: Widespread activation of central autonomic network (CAN) structures was observed during stress compared to a control task in the group of healthy participants, whereas CAN activation during stress was less intense in both BPD and MDD. Both patient groups displayed increased sympathetic and decreased parasympathetic activation compared to healthy subjects, as previously reported. The relationship between peripheral sympathetic or parasympathetic activity and simultaneous regional brain BOLD activity was similar in BPD patients and healthy subjects, and markedly different from that seen in MDD patients. LIMITATIONS: The sample size, the fact it belonged to a single study site, and low grade affective symptomatology in both patient groups limit the generalizability of the present findings. CONCLUSIONS: The diverging neurobiological signature in the homeostatic response to stress in MDD and BPD possibly represents a heuristically valuable candidate biomarker to help discern MDD and BPD patients.

Childhood adversity modulation of central autonomic network components during cognitive regulation of emotion in major depressive disorder and borderline personality disorder.

Adverse childhood experiences (ACEs) have lifelong effects on emotional behavior and are frequent in Borderline Personality Disorder (BPD) and Major Depressive Disorder (MDD). The Central Autonomic Network (CAN), which modulates heart rate variability (HRV), comprises brain regions that mediate emotion regulation processes. However, it remains unclear the effect of ACEs on CAN dynamics and its relationship with HRV in these disorders. We studied the effects of ACEs on the brain and HRV simultaneously, during regulation of psychological stress in 19 BPD, 20 MDD and 20 healthy controls (HC). Participants underwent a cognitive reappraisal task during fMRI with simultaneous ECG acquisition. ACEs exposure was associated with increased activity of CAN and salience network components in patients with MDD compared to BPD during cognitive reappraisal. A brain-autonomic coupling was found in BPD relative to HC during emotion regulation, whereby greater activity of left anterior cingulate and medial superior frontal gyrus areas was coupled with increased HRV. Results suggest that ACEs exposure is associated with a distinct activation of the CAN and salience network regions governing responses to psychological stress in MDD compared to BPD. These alterations may constitute a distinctive neurobiological mechanism for abnormal emotion processing and regulation related to ACEs in MDD.

An fMRI study of cognitive reappraisal in major depressive disorder and borderline personality disorder.

BACKGROUND: One common denominator to the clinical phenotypes of borderline personality disorder (BPD) and major depressive disorder (MDD) is emotion regulation impairment. Although these two conditions have been extensively studied separately, it remains unclear whether their emotion regulation impairments are underpinned by shared or distinct neurobiological alterations. METHODS: We contrasted the neural correlates of negative emotion regulation across an adult sample of BPD patients (n = 19), MDD patients (n = 20), and healthy controls (HCs; n = 19). Emotion regulation was assessed using an established functional magnetic resonance imaging cognitive reappraisal paradigm. We assessed both task-related activations and modulations of interregional connectivity. RESULTS: When compared to HCs, patients with BPD and MDD displayed homologous decreased activation in the right ventrolateral prefrontal cortex (vlPFC) during cognitive reappraisal. In addition, the MDD group presented decreased activations in other prefrontal areas (i.e., left dorsolateral and bilateral orbitofrontal cortices), while the BPD group was characterized by a more extended pattern of alteration in the connectivity between the vlPFC and cortices of the visual ventral stream during reappraisal. CONCLUSIONS: This study identified, for the first time, a shared neurobiological contributor to emotion regulation deficits in MDD and BPD characterized by decreased vlPFC activity, although we also observed disorder-specific alterations. In MDD, results suggest a primary deficit in the strength of prefrontal activations, while BPD is better defined by connectivity disruptions between the vlPFC and temporal emotion processing regions. These findings substantiate, in neurobiological terms, the different profiles of emotion regulation alterations observed in these disorders.

Adaptability to acute stress among women survivors of intimate partner violence: protocol for a mixed-methods cross-sectional study in a laboratory setting (BRAW study).

INTRODUCTION: Intimate partner violence (IPV) is the most common and alarming form of violence against women, affecting around 30% of all women around the world. Using an integrative methodology, we approach IPV as a form of chronic exposure to severe stress that alters the stress-response system of exposed women. The aim of this study is to test the hypothesis that sustained exposure to IPV in women confers a vulnerability-to-stress profile characterised by higher neuroendocrine and behavioural responsiveness associated with a selective attentional processing bias towards threat. METHODS AND ANALYSIS: Women between 21 and 50 years old from the area of Barcelona (Spain) will be invited to participate. A sample of 82 women exposed to IPV and 41 women not exposed to IPV will be included and assessed for attentional bias and response to acute stress in a laboratory condition (the Trier Social Stress Task). The study will include quantitative and qualitative measures of cognitive performance, neuroendocrine activity and face-to-face interviews to obtain an integrative description of the stress-response profile of these women. Results are expected to help build resilience strategies with a long-lasting impression on women's healthy functioning. ETHICS AND DISSEMINATION: The study has obtained the approval of the local Ethics Committee ('Comité de Ética de Investigación Parc Taulí de Sabadell'; 2 018 551 V.1.2 June 2018). Besides the communication of results in peer-reviewed papers and scientific congresses, the project will inform guidelines and recommendations through policy-dialogues and workshops with relevant regional and national representatives for future work and prevention strategies. Participants will be invited to be an active part in the dissemination strategy focussed on raising awareness of coping limitations and abilities that women themselves will be able to identify throughout the study. TRIAL REGISTRATION DETAILS: The study has been registered at the ClinicalTrails.gov database (Identifier number: NCT03623555; Pre-results).

Clinical outcome after discontinuation of maintenance Electroconvulsive Therapy. A retrospective follow-up study. / Evolución clínica tras la discontinuación de la terapia electroconvulsiva de mantenimiento. Estudio de seguimiento retrospectivo.

INTRODUCTION: Continuation and maintenance electroconvulsive therapy (c/m-ECT) is a therapeutic option after an acute ECT course. Although it is widely used, both duration and the outcome of patients when ECT-c/m is discontinued is not yet well established. The aim of the study was to evaluate the recurrence rate and associated clinical factors when c/m-ECT is discontinued. MATERIALS AND METHODS: Retrospective evaluation of 73 patients who were discontinued from c/m-ECT. The minimum evaluation time was one year. The need of hospital admission or a new acute course of ECT was considered a relapse. The recurrence rate was calculated as a percentage and the estimated time to recurrence was analyzed through a survival analysis. Possible associations between clinical variables and recurrence were analyzed by univariate and multivariate Cox analysis. RESULTS: Thirty-six patients (49.3%) relapsed: 61.1% of them relapsed during the first year after the c/m-ECT discontinuation (36.1% during the first 6 months). The estimated time to recurrence was 38.67 months. Fifty percent of patients who relapsed required a new acute course of ECT and 44.4% of them restarted c/m-ECT. Patients with an interval between sessions of less than one month and those with more previous episodes showed a higher risk of recurrence. CONCLUSIONS: The risk of recurrence should be considered before the discontinuation of c/m-ECT. After the discontinuation, almost half of the patients relapsed, most of them within the first year. Close monitoring should be conducted in these patients and the discontinuation is not recommended when it is administered at intervals between sessions of less than a month. Further studies are required to identify risk groups for relapse.

Diagnostic biomarkers for obsessive-compulsive disorder: A reasonable quest or ignis fatuus?

Obsessive-compulsive disorder (OCD) has been associated with a wide range of biological and neurocognitive findings, which could assist in the search for biomarkers. We conducted an umbrella review of systematic reviews and meta-analyses to assess and grade the strength of the evidence of the association between OCD and several potential diagnostic biomarkers while controlling for several potential biases. Twenty-four systematic reviews and meta-analyses were included, comprising 352 individual studies, more than 10,000 individuals with OCD, and covering 73 potential biomarkers. OCD was significantly associated with several neurocognitive biomarkers, with varying degrees of evidence, ranging from weak to convincing. A number of biochemical, neurophysiological, and neuroimaging biomarkers also showed statistically significant, albeit weak, associations with OCD. Analyses in unmedicated samples (123 studies) weakened the strength of the evidence for most biomarkers or rendered them non-significant. None of the biomarkers seem to have sufficient sensitivity and specificity to become a diagnostic biomarker. A more promising avenue for future biomarker research in OCD might be the prediction of clinical outcomes rather than diagnosis.

Childhood maltreatment and risk for suicide attempts in major depression: a sex-specific approach.

Background: Childhood maltreatment increases the risk of suicide attempts in the general population, possibly having similar effects among patients with major depressive disorder (MDD). The few studies that have addressed this association have been restricted to specific populations (e.g. treatment-resistant depression, personality disorders) and have rarely taken sex into account. Objective: To examine the impact of childhood maltreatment on suicide attempts among MDD patients above and beyond other risk factors and potential confounders, while considering potential sex-specific effects. Methods: The study assessed 165 patients with a principal diagnosis of MDD. Neurological alterations, psychiatric comorbidities, and drug abuse were reasons for exclusion. Logistic regressions using the whole sample, and divided by sex, were run to test the association between childhood maltreatment and history of suicide attempts, controlling for symptom severity, comorbidities, and treatment-resistant depression. Results: There was a significant and clinically relevant association between childhood maltreatment and history of suicide attempts in the total sample. Patients with childhood maltreatment were 3.01 times more likely to present a history of suicide attempts than patients without childhood maltreatment. A family history of psychiatric disorders also contributed to the variance of attempted suicide, but its interaction with childhood maltreatment was not statistically significant. When testing the model separately, the effect of childhood maltreatment on suicide attempts remained for females, whereas for males, age of MDD onset and Childhood Trauma Questionnaire minimization-denial scale were predictive variables. Conclusions: Childhood maltreatment is a clear predictor of suicidal behaviour among MDD patients, and this effect remains significant after controlling for potential confounders. Also, the sex of patients emerges as a relevant factor that may model the mechanisms underlying the prediction of suicide attempts. Since suicide is the main cause of premature death among MDD patients, interventions targeting childhood maltreatment should be included in preventive and clinical strategies.

Planteamiento: el maltrato infantil aumenta el riesgo de intentos de suicidio en la población general, y podría tener efectos similares en pacientes con trastorno depresivo mayor (TDM). Los escasos estudios que han abordado este tema se han restringido a poblaciones específicas (p.ej. depresión resistente al tratamiento, trastornos de personalidad) y rara vez tienen en cuenta el sexo.Objetivo: evaluar el impacto del maltrato infantil en las tentativas de suicidio en pacientes con TDM, considerando potenciales factores de riesgo y de confusión, al tiempo que se estudian los posibles efectos del sexo.Método: se evaluó una muestra de 165 pacientes con diagnóstico principal de TDM. Las alteraciones neurológicas, las comorbilidades psiquiátricas y el abuso de drogas fueron motivos de exclusión. Para explorar la asociación entre el maltrato infantil y el historial de intentos de suicidio (controlando por la gravedad de los síntomas, la comorbilidad y la resistencia al tratamiento), se realizaron regresiones logísticas con la muestra completa, así como en hombres y mujeres por separado.Resultados: existe una asociación significativa y clínicamente relevante entre el maltrato infantil y la historia de intentos de suicidio en el total de la muestra. Las personas con maltrato infantil tenían 3,01 veces más probabilidades de presentar historia de tentativas de suicidio que aquellas sin maltrato infantil. Los antecedentes familiares de trastorno psiquiátrico también contribuyeron a la varianza de los intentos de suicidio, pero su interacción con el maltrato infantil no resultó estadísticamente significativa. Al analizar el modelo por separado, el efecto del maltrato infantil en las tentativas suicidas se mantuvo en las pacientes mujeres, mientras que en los pacientes hombres la edad de inicio del TDM y la escala de minimización-negación del CTQ fueron las variables explicativas.Conclusiones: el maltrato infantil predice el comportamiento suicida en pacientes con TDM, persistiendo este efecto después de controlar posibles factores de confusión. Además, el sexo de las personas modelaría los mecanismos subyacentes en cuanto a predecir las tentativas de suicidio. Dado que el suicidio es la principal causa de muerte prematura entre pacientes con TDM, las intervenciones dirigidas al maltrato infantil deberían incluirse dentro de las estrategias tanto preventivas como terapéuticas.

Discrepancy between objective and subjective cognition in major depressive disorder.

Objective and subjective cognitive measures are altered in major depressive disorder (MDD), but there is a poor correlation between them. This study aims to explore such discrepancy and the characteristics explaining this phenomenon. 229 patients with MDD subdivided into remitted (n = 57), partially remitted (n = 90) and acute (n = 82) underwent a clinical interview, completed self-report questionnaires and a neuropsychological assessment. The association between objective and subjective cognition was evaluated in the areas of attention and memory. Also, dependent measures of concordance and self-appraisal were calculated for each patient. Potential predictors of these outcomes were evaluated through regression analysis. Depressive symptoms correlated negatively with objective but especially with subjective cognition. Patients in an acute episode showed a significant correlation between objective and subjective attention/memory measures, but also the greatest underestimation of their cognitive performance. In those with fewer depressive symptoms, objective and subjective cognition showed poor correspondence between them. In the regression analyses with the full MDD sample, higher scores on depressive symptoms, intelligence quotient and executive functions predicted lower self-appraisal. Objective and subjective cognition show poor concordance in MDD patients, especially in those with residual mood symptoms. Higher executive functions also explain this discrepancy. Assessments of both subjective cognitive complaints and objective performance seem necessary as they may be measuring different aspects of cognitive functioning.

Early improvement as a predictor of final remission in major depressive disorder: New insights in electroconvulsive therapy.

BACKGROUND: Early improvement to antidepressant drugs predicts remission, but the predictive value of early improvement to electroconvulsive therapy (ECT) is still unclear. The main aim of this study was to determine the optimal definition of early improvement in the treatment of major depressive disorder (MDD) with ECT, by analyzing its value as a predictor of remission. METHODS: A naturalistic study was conducted in 87 adult MDD patients treated with acute ECT. ROC curves were generated to identify the best time point (week 1 or 2 of treatment) predicted remission. Sensibility, specificity, and predictive values were calculated for several definitions of early improvement previously proposed in the literature (20%, 25%, 30%, and 35%). Complementary, time to remission was analyzed and a logistic regression model was performed to further characterize the impact of the optimal definition of early improvement on remission while adjusting for other clinically relevant variables. RESULTS: A 30% reduction in the HAM-D score after 2 weeks was identified as the optimal definition of early improvement, with acceptable sensitivity (76%), and specificity (67%). Complementary analyses provided further support for this definition showing a shorter time to remission and a significant effect adjusted for the rest of variables. LIMITATIONS: Relatively small sample size, ECT restricted to brief bilateral treatment. CONCLUSIONS: Early improvement, defined as a 30% of reduction in the HAM-D21 score at week 2, is a good predictor of remission in MDD patients treated with bilateral ECT, with potential clinical impact. Lack of early improvement could indicate a need for further changes in treatment strategies.

Self and other body perception in anorexia nervosa: The role of posterior DMN nodes.

OBJECTIVES: Body image distortion is a core symptom of anorexia nervosa (AN), which involves alterations in self- (and other's) evaluative processes arising during body perception. At a neural level, self-related information is thought to rely on areas of the so-called default mode network (DMN), which, additionally, shows prominent synchronised activity at rest. METHODS: Twenty female patients with AN and 20 matched healthy controls were scanned using magnetic resonance imaging when: (a) viewing video clips of their own body and another's body; (b) at rest. Between-group differences within the DMN during task performance were evaluated and further explored for task-related and resting-state-related functional connectivity alterations. RESULTS: AN patients showed a hyperactivation of the dorsal posterior cingulate cortex during their own-body processing but a response failure to another's body processing at the precuneus and ventral PCC. Increased task-related connectivity was found between dPCC-dorsal anterior cingulate cortex and precuneus-mid-temporal cortex. Further, AN patients showed decreased resting-state connectivity between the dPCC and the angular gyrus. CONCLUSIONS: The PCC and the precuneus are suggested as key components of a network supporting self-other-evaluative processes implicated in body distortion, while the existence of DMN alterations at rest might reflect a sustained, task-independent breakdown within this network in AN.