Is bipolar disorder an endocrine condition? Glucose abnormalities in bipolar disorder

The World Health Organisation placed bipolar disorder at the top ten causes of disability worldwide, due not only to its functional impairment but also to its increased medical morbidity and mortality. An increased suicide rate, poor healthcare access, poor health habits, and medication side‐effects contribute to the increased morbidity and mortality. However, the leading contributors to the excess of mortality are cardiovascular pathologies 1, a finding already highlighted by Derby in 1933 in a cohort of manic‐depressive patients admitted to a general hospital. Cardiovascular risk factors, such as obesity, hypertension, type 2 diabetes mellitus (T2DM) 2, and lipid disturbances, are highly increased in bipolar disorder. In between those, glycemic abnormalities are the most repeated finding, taking into account that since the onset of the 20th century, several authors had raised the attention toward an unexpected relationship between manic‐depressive illness and glucose metabolism 3. In addition, the prevalence of T2DM in bipolar disorders ranges from 8% to 17% a threefold increase compared with the general population and bipolar patients with comorbid T2DM may have a more severe course of the psychiatric illness (greater number of depressive and manic episodes, more hospitalizations, and suicidality) and refractoriness to treatment. In addition, studies regarding metabolic disturbances in relatives of bipolar disorder and non‐affective psychosis have described an increased risk of developing glucose abnormalities, adding more scientific background to the unexpected relationship. However, pharmacological treatment, including both antipsychotic agents, antidepressants and mood stabilizers, may have confounded this relationship

Resilience and mental health during the COVID-19 pandemic

Background: Resilience is a process that allows recovery from or adaptation to adversities. The aim of this study was to evaluate state resilience during the COVID-19 pandemic in psychiatric patients (PP), unaffected relatives (UR) and community controls (CC). Methods: This study is part of the Barcelona ResIlience Survey for Mental Health COVID-19 (BRIS-MHC) project. Logistic regression models were performed to identify mental health outcomes associated with bad state resilience and predictors of good state resilience. The association between state resilience and specific affective temperaments as well as their influence on the association between depressive symptoms and state resilience were verified. Results: The study recruited 898 participants that took part in the survey. The presence of depressive symptoms was a predictor of bad state resilience in PP (β=0.110, OR=1.117, p=0.028). No specific mental health outcome was associated with bad state resilience in UR and CC. Predictors of good state resilience in PP were having pursued hobbies/conducted home tasks (β=1.261, OR=3.528, p=0.044) and level of organization in the family (β=0.986, OR=2.682, p=0.008). Having a controlling family was inversely associated with good state resilience in CC (β=-1.004, OR=0.367, p=0.012). The association between bad state resilience and depressive symptoms was partially mediated by affective temperaments. Limitations: Participants self-reported their psychiatric diagnoses, their relatives' diagnoses or the absence of a psychiatric disorder, as well as their psychiatric symptoms. Conclusions: Enhancing resilience and coping strategies in the face of the COVID-19 pandemic might have important implications in terms of mental health outcomes

Abnormal glycemic homeostasis at the onset of serious mental illnesses: A common pathway

Objective: Patients with serious mental illnesses exhibit a reduced lifespan compared with the general population, a finding that can not solely rely on high suicide risk, low access to medical care and unhealthy lifestyle. The main causes of death are medical related pathologies such as type 2 diabetes mellitus and cardiovascular disease; however pharmacological treatment might play a role. Material and methods: We compared a two hour glucose load in naïve patients at the onset of a serious mental illness (N = 102) (84 patients with a first episode of schizophrenia and related disorders, 6 with a first episode of bipolar I disorder and 12 with a first episode of major depression disorder) with another psychiatric diagnose, adjustment disorder (N = 17) and matched controls (N = 98). Results: Young patients with serious mental illness showed an increased two hour glucose load compared with adjustment disorder and the control group. Mean two hour glucose values [±standard deviation] were: for schizophrenia and related disorders 106.51 mg/dL [±32.0], for bipolar disorder 118.33 mg/dL [±34.3], for major depressive disorder 107.42 mg/dL [±34.5], for adjustment disorder 79.06 mg/dL[±24.4] and for the control group 82.11 mg/dL [±23.3] (p < 0.001). Conclusions: Our results reflect an abnormal metabolic pathway at the onset of the disease before any pharmacological treatment or other confounding factors might have taken place. Our results suggest a similar glycemic pathway in serious mental illnesses and the subsequent need of primary and secondary prevention strategies

Is bipolar disorder an endocrine condition? Glucose abnormalities in bipolar disorder

The World Health Organisation placed bipolar disorder at the top ten causes of disability worldwide, due not only to its functional impairment but also to its increased medical morbidity and mortality. An increased suicide rate, poor healthcare access, poor health habits, and medication side‐effects contribute to the increased morbidity and mortality. However, the leading contributors to the excess of mortality are cardiovascular pathologies 1, a finding already highlighted by Derby in 1933 in a cohort of manic‐depressive patients admitted to a general hospital. Cardiovascular risk factors, such as obesity, hypertension, type 2 diabetes mellitus (T2DM) 2, and lipid disturbances, are highly increased in bipolar disorder. In between those, glycemic abnormalities are the most repeated finding, taking into account that since the onset of the 20th century, several authors had raised the attention toward an unexpected relationship between manic‐depressive illness and glucose metabolism 3. In addition, the prevalence of T2DM in bipolar disorders ranges from 8% to 17% a threefold increase compared with the general population and bipolar patients with comorbid T2DM may have a more severe course of the psychiatric illness (greater number of depressive and manic episodes, more hospitalizations, and suicidality) and refractoriness to treatment. In addition, studies regarding metabolic disturbances in relatives of bipolar disorder and non‐affective psychosis have described an increased risk of developing glucose abnormalities, adding more scientific background to the unexpected relationship. However, pharmacological treatment, including both antipsychotic agents, antidepressants and mood stabilizers, may have confounded this relationship