The Signature Biobank: A longitudinal biopsychosocial repository of psychiatric emergency patients.

The Signature Biobank is a longitudinal repository of biospecimen, psychological, sociodemographic, and diagnostic data that was created in 2012. The Signature Consortium represents a group of approximately one hundred Quebec-based transdisciplinary clinicians and research scientists with various expertise in the field of psychiatry. The objective of the Signature Biobank is to investigate the multi-faceted underpinnings of psychiatric disorders among patients in crisis. The Signature Consortium is expanding and includes new active members that seek to highlight the contributions made by Signature Biobank since its inception. This article details our research protocol, directions, and summarizes contributions. To date, we have collected biological samples (n = 1,986), and questionnaire data (n = 2,085) from psychiatric emergency patients of the Institut universitaire en santé mentale de Montréal (Quebec, Canada), with a large proportion from whom both data types were collected (n = 1,926). In addition to this, a subsample of patients was followed-up at hospital discharge, and two additional outpatient clinic appointments (n = 958 with at least one follow-up). In addition, a socio-demographically matched comparison group of individuals who were not hospitalized for psychiatric disorders (n = 149) was recruited from the surrounding catchment area. To summarize, a systematic review of the literature shows that the Signature Biobank has contributed to better characterizing psychiatric comorbidities, biological profiles, and psychosocial functioning across some of the most common psychiatric disorders, including psychosis, mood, anxiety, and substance use disorders. The Signature Biobank is now one of the world's largest repositories of data collected from patients receiving care at a psychiatric emergency unit.

Associations of allostatic load with sociodemographic factors, depressive symptoms, lifestyle, and health characteristics in a large general population-based sample.

OBJECTIVE: We examined the associations between allostatic load (AL) and sociodemographic factors, depressive symptoms, lifestyle and health characteristics in a population-based sample of 4993 adults in Finland. METHODS: Thirteen biomarkers were used to construct AL. High AL was defined as scoring highly in ≥4 items. RESULTS: AL scores of 4 and above were exceeded in the age group of 45-54 years in men and 65-74 years in women. Age was the strongest predictor for belonging to the high AL score group. In addition, elevated depressive symptoms (BDI-6 ≥ 4), male sex, not engaging in physical exercise, high alcohol use and a low level of education were associated with an increased likelihood of belonging to the high AL group. CONCLUSION: The older the participants were, the greater their AL burden was. However, AL burden increased more steeply as a function of age in men. In addition to lifestyle interventions, effective prevention strategies for depression at the population level could have a major public health impact in reducing the accumulation of AL burden.

A step-by-step and data-driven guide to index gender in psychiatry.

Beyond sex as a binary or biological variable, within-sex variations related to sociocultural gender variables are of increasing interest in psychiatric research to better understand individual differences. Using a data-driven approach, we developed a composite gender score based on sociodemographic and psychosocial variables showing sex differences in a sample of psychiatric emergency patients upon admission (N = 1708; 39.4% birth-assigned females; mean age = 40 years; age standard deviation = 14). This gender score was extracted from a confirmatory factor analysis (CFI = 0.966; RMSEA = 0.044, SRMR = 0.030) and could predict a person's birth-assigned sex with 67% accuracy. This score allowed the further identification of differences on impulsivity measures that were absent when looking solely at birth-assigned sex. Female birth-assigned sex was also associated with higher rates of mood and personality disorder diagnoses, while higher feminine gender scores were related to higher proportions of anxiety and mood disorder diagnoses. By contrast, male birth-assigned sex and higher masculine gender scores were associated with higher proportions of psychotic and substance use disorder diagnoses. Patients with undifferentiated gender scores (i.e., scoring between masculine and feminine threshold defined by terciles) were more represented in the psychotic disorder group. Considering both sex and gender in psychiatric research is essential and can be achieved even when using secondary data to index gender comprised of demographic and psychosocial variables.

Sex/gender differences in cognitive abilities.

Sex/gender differences in cognitive sciences are riddled by conflicting perspectives. At the center of debates are clinical, social, and political perspectives. Front and center, evolutionary and biological perspectives have often focused on 'nature' arguments, while feminist and constructivist views have often focused on 'nurture arguments regarding cognitive sex differences. In the current narrative review, we provide a comprehensive overview regarding the origins and historical advancement of these debates while providing a summary of the results in the field of sexually polymorphic cognition. In so doing, we attempt to highlight the importance of using transdisciplinary perspectives which help bridge disciplines together to provide a refined understanding the specific factors that drive sex differences a gender diversity in cognitive abilities. To summarize, biological sex (e.g., birth-assigned sex, sex hormones), socio-cultural gender (gender identity, gender roles), and sexual orientation each uniquely shape the cognitive abilities reviewed. To date, however, few studies integrate these sex and gender factors together to better understand individual differences in cognitive functioning. This has potential benefits if a broader understanding of sex and gender factors are systematically measured when researching and treating numerous conditions where cognition is altered.

Sex and Gender and Allostatic Mechanisms of Cardiovascular Risk and Disease.

Cardiovascular diseases are leading causes of mortality and morbidity in adults worldwide. Multiple studies suggest that there are clinically relevant sex differences in cardiovascular disease. Women and men differ substantially in terms of prevalence, presentation, management, and outcomes of cardiovascular disease. To date, however, little is known about why cardiovascular disease affects women and men differently. Because many studies do not differentiate the concept of sex and gender, it is sometimes difficult to discriminate sociocultural vs biological contributors that drive observed clinical differences. Female sex has some biological advantages in relation to cardiovascular disease, but many of these advantages seem to disappear as soon as women develop cardiovascular risk factors (eg, type 2 diabetes, hypertension, dyslipidemia). Furthermore, stress and allostatic load could play an important role in the relationship between sex/gender and cardiovascular diseases. In this narrative review, we argue that chronic stress and psychosocial factors might better encompass the patterns of allostatic load increases seen in women, while biological risk factors and unhealthy behaviours might be more important mechanisms that drive increased allostatic load in men. Indeed, men show allostatic load patterns that are more associated with impaired anthropometric, metabolic, and cardiovascular functioning and women have greater dysregulation in neuroendocrine and immune functioning. Thus gender-related factors might contribute to the pathogenesis of cardiovascular disease especially through stress mechanisms. It is important to continue to study the mechanisms by which gender influences chronic stress, because chronic stress could influence modifiable gendered factors to promote cardiovascular disease prevention.

Allostatic load as a predictor of response to repetitive transcranial magnetic stimulation in treatment resistant depression: Research protocol and hypotheses.

Treatment resistant depression is challenging because patients who fail their initial treatments often do not respond to subsequent trials and their course of illness is frequently marked by chronic depression. Repetitive transcranial magnetic stimulation (rTMS) is a well-established treatment alternative, but there are several limitations that decreases accessibility. Identifying biomarkers that can help clinicians to reliably predict response to rTMS is therefore necessary. Allostatic load (AL), which represents the 'wear and tear' on the body and brain which accumulates as an individual is exposed to chronic stress could be an interesting staging model for TRD and help predict rTMS treatment response. We propose an open study which aims to test whether patients with a lower pre-treatment AL will have a stronger antidepressant response to 4 week-rTMS treatment. We will also assess the relation between healthy lifestyle behaviors, AL, and rTMS treatment response. Blood samples for AL parameters will be collected before the treatment. The AL indices will summarize neuroendocrine (cortisol, Dehydroepiandrosterone), immune (CRP, fibrinogen, ferritin), metabolic (glycosylated hemoglobin, total cholesterol, high-density lipoprotein, low-density lipoprotein, triglycerides, uric acid, body mass index, waist circumference), and cardiovascular (heart rate, systolic and diastolic blood pressure) functioning. Mood assessment (Montgomery-Åsberg Depression Rating Scale and Inventory of Depressive symptomatology) will be measured before the treatment and at two-week intervals up to 4 weeks. With the help of different lifestyle questionnaires, a healthy lifestyle index (i.e., a single score based on lifestyle factors) will be created. We will use linear and logistic regressions to assess AL in relation to changes in mood score. Hierarchical regression will be done in order to assess the association between AL, healthy lifestyle index and mood score. Long-lasting and unsuccessful antidepressant trials may increase the chance of not responding to future trials of antidepressants and it can therefore increase treatment resistance. It is essential to identify reliable biomarkers that can predict treatment responses.

Occupational gender roles in relation to workplace stress, allostatic load, and mental health of psychiatric hospital workers.

OBJECTIVES: Gendered inequalities in workplace stress are linked to sex-specific health trajectories that are poorly understood. Measuring gendered inequalities is challenging but necessary to better explain individual differences in occupational health. The aim of this exploratory, retrospective study was to create a measure of occupational gender-roles and use structural equation models to investigate pathways linking layers of gendered factors to workplace stress, allostatic load, and mental health in a sample of psychiatric hospital workers (N = 192). METHODS: Individual-level gender-roles were measured with the Bem Sex-Role Inventory Short-Form. Occupational gender-roles were measured using a novel web-based survey approach. Sex-specific allostatic load indices were constructed using 23 biomarkers (e.g., neuroendocrine, immune, cardiovascular, and metabolic). Workplace stress was assessed using the Job Content Questionnaire and the Effort-Reward at Work Questionnaire. Depressive symptoms were assessed with the Beck Depression Inventory-II, burnout symptoms with the Maslach Burnout Inventory - General Survey, and trauma symptoms with the PTSD Civilian Checklist. RESULTS: Individual-level masculine gender-roles were positively associated with psychological demands (R2 = 0.103) and social support (R2 = 0.078). Masculine and feminine occupational gender-roles were positively associated with decisional latitude (R2 = 0.157) and effort-reward ratio (R2 = 0.058). Both individual masculine and feminine gender-roles had protective effects on depressive symptoms (R2 = 0.289) and burnout symptoms (R2 = 0.306) but only individual masculine gender-roles had protective effects on trauma symptoms (R2 = 0.198). We found no association between occupational gender-roles and mental health and allostatic load. CONCLUSION: Beyond individual gender-roles, our study shows the utility of measuring occupational gender-roles to delineate associations between workplace stressors and mental health that should be applied in future studies of sex differences in occupational health.

Psychoneuroendocrine protocol to comprehensively study sexually dimorphic cognition.

Background: A large body of research provides evidence for sex differences in cognitive abilities. These sex differences stem from the interplay between biological sex (e.g., birth-assigned sex, sex hormones) and psychosocial gender (e.g., gender identity, gender-roles, sexual orientation). Literature remains rather mixed with regards to the magnitude of sex and gender effects on cognitive abilities and mental health. Growing evidence shows that sex hormone assessment combined with measures of psychosocial gender may be fundamental to comprehensively understand individual differences in sexually dimorphic cognitive abilities. Objectives: This study protocol describes a sexually dimorphic cognitive battery to assess the influence of sex hormones on performance. In parallel, we aim to assess the inter-related effects that biological sex and psychosocial gender-based factors exert on cognition and mental health. Methods: Our projected sample includes 180 adult participants who are at least 18 years old. Sub-groups will be recruited based on birth-assigned sex, gender identity, and sexual orientation. Biological measures will be collected via salivary samples throughout testing to include sex hormones (testosterone, estradiol and progesterone) and stress hormones (cortisol). Demographic and psychosocial variables will be measured through self-report questionnaires. Participants will be required to complete eight classic cognitive tasks that assess a variety of cognitive domains in a 2-h testing session. Results and future directions: Results from this study provides unique insights into the correlates of cognitive sex differences and gender diversity. This will give us solid ground to further investigate these influences in clinical populations in which sex hormones and cognitive functioning are often altered.

Allostatic load and women's brain health: A systematic review.

Allostatic load represents the 'wear and tear' of chronic stress on the brain and body that may differ between men and women. A small but growing number of studies are assessing allostatic load in relation to mental health. The objective of this systematic review was to (1) assess sex differences in allostatic load and (2) identify allostatic load associations that are specific to women. We systematically searched for allostatic load studies that included psychosocial causes and/or psychiatric consequences. Our search focused on allostatic load studies that disaggregated by sex and that include women. Sixty-two studies were included in this systematic review. First, men appear to have higher allostatic load than women. Second, women show gender-specific variation for numerous factors such as age, race/ethnicity, adversities, social support, and health behaviors that influence associations between allostatic load and mental health. Recommendations are made to guide researchers advance sex and gender approaches.

Rx risk or resistance? Psychotropic medication use in relation to physiological and psychosocial functioning of psychiatric hospital workers.

To avoid methodological biases, psychoneuroendocrine studies have generally excluded psychotropic medication users. In workplace stress research, this has limited our ability to understand how psychotropic medication use affects many stress-related measures of interest. In this exploratory study, the effects of psychotropic medication use on stress physiology, occupational stress, and mental health were measured in a sample of healthy adult psychiatric hospital workers (N = 203, 70 % women). Diurnal cortisol was assessed on two non-consecutive work-days at five time-points (e.g., awakening, thirty minutes after awakening, 2 P M, 4 P M and bedtime). Cortisol reactivity was assessed by exposing participants to the Trier Social Stress Test. An allostatic load index was constructed using 19 neuroendocrine, immune, cardiovascular, and metabolic biomarkers. Occupational stress (e.g., job strain, effort-reward imbalance) and psychiatric symptoms (e.g., depression, burnout) were assessed with well-validated self-reports. Results showed that psychotropic medication use had no significant effects on diurnal cortisol profiles; however, psychotropic users had significantly decreased cortisol reactivity to the Trier Social Stress Test and higher allostatic load. Psychotropic users also had decreased effort-reward imbalance, but not job strain. Depressive symptoms did not differ between psychotropic medications users and non-users; however, burnout symptoms were higher among psychotropic medication users than non-users. Taken together, our findings do not warrant the systematic exclusion of psychotropic medication users from psychoneuroendocrine studies if insights into individual differences are sought among workers and other populations exposed to elevated stress.

Sex Differences and Gender Diversity in Stress Responses and Allostatic Load Among Workers and LGBT People.

Measuring biological sex differences and socio-cultural gender diversity provides insights into individual variation in stress physiology and the development of "sex-specific" diseases. PURPOSE OF REVIEW: In this selective review, we summarize recent findings that assess sex and gender in relation to the stress hormone cortisol and multi-systemic physiological dysregulation called allostatic load. The focus of this research centers on workers as well as sexual and gender minorities as these populations provide unique insights into sex and gender at various levels of analysis from the micro-level to the macro-level. RECENT FINDINGS: Male/female sex, sex hormones, gender identity, gender roles, and sexual orientation are all variables that are distinctly correlated with stress physiology. Beyond identifying patterns of vulnerability to stress-related diseases, pathways towards resilience are of high priority in emerging literature. Stress scientists must account for both sex and gender in biobehavioral research. Future directions should assess macro-level constructs like institutionalized gender, occupational sex composition, and structural stigma to better understand the social determinants of health.