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2.
PLoS One ; 19(1): e0296880, 2024.
Article in English | MEDLINE | ID: mdl-38271402

ABSTRACT

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.


Subject(s)
Psychiatry , Psychotic Disorders , Infant, Newborn , Humans , Male , Female , Adult , Gender Identity , Mood Disorders , Anxiety Disorders
3.
Can J Cardiol ; 38(12): 1812-1827, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36150584

ABSTRACT

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.


Subject(s)
Allostasis , Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Adult , Female , Humans , Male , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/etiology , Risk Factors , Allostasis/physiology , Heart Disease Risk Factors
4.
Compr Psychoneuroendocrinol ; 10: 100133, 2022 May.
Article in English | MEDLINE | ID: mdl-35755203

ABSTRACT

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.

6.
Eur J Trauma Dissociation ; 5(2): 100189, 2021 May.
Article in French | MEDLINE | ID: mdl-38620625

ABSTRACT

The COVID-19 pandemic created a worldwide health crisis. This crisis resulted in an almost two-month lockdown in France - lockdown that has serious impacts on physical and mental health. This unprecedented situation resulted in an important reflection about the mental health of the persons experiencing this crisis. The aim of our study was to apprehend the emotional state of the persons experiencing this lockdown, taking into account day-to-day life and feelings of loneliness. In order to develop a good comprehension of the impact of this situation on mental health, we recruited 4689 persons through an online survey between March 17th and May 11th of 2020 in France. We used several psychometric tools that gave us access to various data, such as socio-biographical information, situational variables - place of living, work context, etc. - and psychological state - depressive symptoms, anxiety, loneliness, etc. This paper focuses mostly on the UCLA loneliness scale, and the French Canadian version of the Psychiatric Symptoms Index (PSI), which measures psychological distress, as well as depressive symptoms, anxiety and cognitive impairment. Results show a moderate psychological distress for 27.5% of our sample, with depressive symptomatology, irritability or cognitive impairment. There is also a high loneliness feeling in 21.8% of the sample. Psychological distress is explained by sociodemographic variables - such as gender and age - but also by situational information - type of housing and persistence of income - and the loneliness feeling. If this pandemic and this lockdown show a clear impact on the emotional life of the French population, these results need to be taken into account with a broader range of situational and psychological variables. These additional data would help us have a more thorough understanding of the underlying factors explaining this difficult experience of the crisis. This comprehension also needs to go further in time and think about the repercussions beyond the end of the lockdown, in order to observe the evolution of these emotions and the potential persistence of psychological distress.

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