The association of weight gain with mood symptoms and functional outcomes following a first manic episode: prospective 12-month data from the Systematic Treatment Optimization Program for Early Mania (STOP-EM)

Clinical, Economic, and Humanistic Outcomes Associated with Obesity Among People with Bipolar I Disorder in the United States: Analysis of National Health and Wellness Survey Data

Introduction

People living with bipolar I disorder (BD-I) have an increased risk for obesity compared with the general population that may be related to genetic, lifestyle, and treatment factors. Few studies have examined possible effects of obesity on those living with BD-I. This study examined relationships between obesity and clinical, humanistic, and economic outcomes among adults with BD-I.

Methods

This retrospective, cross-sectional study analyzed survey responses from a nationally representative sample of US adults participating in the 2016 or 2020 National Health and Wellness Survey. Respondents (18-64 years) with a self-reported physician diagnosis of BD-I were included and categorized by body mass index: underweight/normal weight (<25 kg/m2), overweight (25 to <30 kg/m2), or obese (≥30 kg/m2). Adjusted analyses assessed comorbidities, health-related quality of life (HRQoL), work productivity, health care resource utilization (HCRU), and economic outcomes.

Results

In total, responses from 1,853 participants were analyzed; most were female (65%) and white (62%). Respondents with obesity had the highest prevalence of medical comorbidities, including high blood pressure (52%), sleep apnea (37%), hypercholesterolemia (34%), and type 2 diabetes (12%). Obesity was generally associated with the lowest scores of physical health and HRQoL. Activity impairment scores were highest among respondents with obesity, as were numbers of hospitalizations and emergency department visits in the previous 6 months. Respondents with obesity incurred higher annual indirect and direct medical costs ($28,178 and $37,771, respectively) when compared with the underweight/normal weight ($23,823 and $32,227, respectively) and overweight ($24,312 and $35,231, respectively) groups.

Conclusion

In this nationally representative sample, obesity was associated with several outcomes that may negatively affect people living with BD-I, including medical comorbidities, higher HCRU, HRQoL impairments, and greater indirect and direct medical costs. These findings highlight the importance of considering the presence of or risk for obesity and associated medical comorbidities when treating BD-I.

Association of daily-life functioning and obesity in individuals with schizophrenia and controls

Early weight gain following the diagnosis of schizophrenia (SCZ) has been associated with improved daily functioning. However, in the general population and in other psychiatric conditions such as bipolar disorder, increased body mass index (BMI) has been associated with worse functioning. The data on this association in chronic individuals with SCZ is still scarce. To address this gap in knowledge, our objective was to evaluate the association between BMI and psychosocial functioning in chronic outpatients with SCZ and in healthy individuals. Six-hundred individuals (n = 600), 312 with schizophrenia (SCZ) and 288 individuals with no personal or family history of severe mental illness (CTR), underwent weight, height and psychosocial functioning score (FAST) assessment. Linear regression models tested the association between FAST as dependent variable and BMI as independent variable, controlling for age, sex, use of clozapine and years of illness. In the CTR group, the highest BMI could predict a worse result in FAST, explaining about 22% of the variation found (Model: AdjR2 = 0.225 F(3,284) = 28.79 p < .001; BMI main effect: β = 0.509 t = 9.240 p < .001). In the SCZ group, there was no statistically significant association. Our findings corroborate the perception that increased BMI is associated with worse functioning status in the general population. In chronic SCZ, whatsoever, there is no association. Our findings suggest that patients with higher BMI in the SCZ group may compensate for the possible impairment of functionality due to increased body weight, through improved adherence and responsiveness to prescribed psychopharmacological treatment, leading to better control of psychiatric symptoms.

Insulin resistance in bipolar disorder: A systematic review of illness course and clinical correlates

BACKGROUND

Although insulin resistance (IR) and cardiometabolic syndrome are prevalent in patients with bipolar disorder (BD), only a few studies have attempted to precisely assess the degree and clinical impact of IR in BD.

METHODS

A comprehensive search was conducted from multiple research databases through May 2022, following a pre-defined protocol (PROSPERO: CRD42022359259). We extracted neuroimaging, cognition, illness course, and treatment response findings from individuals with BD with evidence of IR compared with euglycemic BD individuals.

RESULTS

Of 1436 identified articles, 10 reports fulfilling inclusion criteria were included (n = 1183). BD patients with IR displayed worse composite verbal memory scores and worse executive function and exhibited smaller hippocampal volumes along with prefrontal neurochemical alterations compared to euglycemic BD patients. Fixed-effect meta-analysis revealed that BD patients with impaired glucose metabolism (IGM) were more likely to develop a chronic and rapid cycling course when compared with euglycemic BD patients (k = 2, OR = 2.96, 95 % CI 1.69-5.17, OR = 2.88, 95 % CI 1.59-5.21, p < 0.001, respectively), with a trend for significantly lower Global Assessment of Functioning scores (k = 5, MD = -4, 95 % CI -8.23-0.23, p = 0.06). BD patients with IGM displayed a higher rate of poor response to mood stabilizers when compared with euglycemic BD patients (k = 2, OR = 6.74, 95 % CI 1.04-43.54, p = 0.04).

LIMITATIONS

Cross-sectional design and small sample sizes of studies included limit the generalizability of results.

CONCLUSION

IR is associated with worse clinical outcomes of BD and inadequate treatment response. Implementing strategies to prevent and treat IR in BD is crucial to improve the prognosis of such a difficult-to-treat population.

Obesity and overweight among children and adolescents with bipolar disorder from the general population: A review of the scientific literature and a meta-analysis

There is substantial evidence of the high prevalence of obesity (OB) and overweight (OW) and their association with increased medical and psychiatric burden among adults with bipolar disorder (BD). However, little is known regarding its prevalence among young people with BD, other than the risk from psychotropic medication, which has been the focus of research in this population. We present a systematic review and meta-analysis of the literature on prevalence and correlates of OB and OW children and adolescents with BD using a different perspective than impact of medication. Four studies met inclusion criteria. The prevalence of OB in children and adolescents with BD was 15% (95% CI 11-20%). We observed a higher prevalence of OB in comparison to the general population. Different studies found significant associations between OB, OW, and BD in young populations including non-Caucasian race, physical abuse, suicide attempts, self-injurious behaviours, psychotropic medication, and psychiatric hospitalizations.

Does metabolic syndrome or its component factors alter the course of bipolar disorder? A systematic review

Metabolic syndrome (MetS) and its component factors, obesity, hypertension, dyslipidaemia and insulin resistance, have shown a bidirectional relationship with the prevalence and severity of bipolar disorder (BD). A systematic search of electronic databases (Pubmed, PsycINFO, clinicaltrials.gov) was conducted to explore and integrate current evidence about the role of MetS and its component factors with clinical outcomes of BD. Thirty-four articles met the inclusion criteria. Studies were grouped by the metabolic factors assessed, which included MetS, obesity and body mass index (BMI), dyslipidaemia, impaired glucose metabolism (IGM), diabetes mellitus and hypertension. They were then classified according to outcomes such as course of episodes, rapid cycling, suicidal behavior, treatment response, and global and cognitive functioning. Although current evidence remains controversial in most aspects of clinical outcomes, metabolic risk factors could alter the course of BD, with worse global functioning, poorer treatment response and a chronic course of illness, as well as enhancing rapid cycling. Further research is needed to elucidate the role of each risk factor in the mentioned outcomes.

Consensus on nomenclature for clinical staging models in bipolar disorder: A narrative review from the International Society for Bipolar Disorders (ISBD) Staging Task Force

OBJECTIVES

Clinical staging is widely used in medicine to map disease progression, inform prognosis, and guide treatment decisions; in psychiatry, however, staging remains a hypothetical construct. To facilitate future research in bipolar disorders (BD), a well-defined nomenclature is needed, especially since diagnosis is often imprecise with blurred boundaries, and a full understanding of pathophysiology is lacking.

METHODS

Under the auspices of the International Society of Bipolar Disorders, a Task Force of international experts was convened to review, discuss, and integrate findings from the scientific literature relevant to the development of a consensus staging model and standardize a terminology that could be used to advance future research including staging of BD and related disorders.

RESULTS

Consensus opinion and areas of uncertainty or difference were identified in regard to terms referring to staging as it may apply to BD, to at-risk status and subthreshold stages, and to various clinical stages of BD as it is currently diagnosed.

CONCLUSION

The use of a standardized nomenclature about the clinical stages of BD will facilitate communication about research on clinical and pathological components of this heterogeneous group of disorders. The concepts presented are based on current evidence, but the template provided allows for further refinements as etiological advances come to light.

Weight gain as a risk factor for progressive neurochemical abnormalities in first episode mania patients: a longitudinal magnetic resonance spectroscopy study

BACKGROUND

We previously reported that bipolar disorder (BD) patients with clinically significant weight gain (CSWG; ⩾7% of baseline weight) in the 12 months after their first manic episode experienced greater limbic brain volume loss than patients without CSWG. It is unknown whether CSWG is also a risk factor for progressive neurochemical abnormalities.

METHODS

We investigated whether 12-month CSWG predicted greater 12-month decreases in hippocampal N-acetylaspartate (NAA) and greater increases in glutamate + glutamine (Glx) following a first manic episode. In BD patients (n = 58) and healthy comparator subjects (HS; n = 34), we measured baseline and 12-month hippocampal NAA and Glx using bilateral 3-Tesla single-voxel proton magnetic resonance spectroscopy. We used general linear models for repeated measures to investigate whether CSWG predicted neurochemical changes.

RESULTS

Thirty-three percent of patients and 18% of HS experienced CSWG. After correcting for multiple comparisons, CSWG in patients predicted a greater decrease in left hippocampal NAA (effect size = -0.52, p = 0.005). CSWG also predicted a greater decrease in left hippocampal NAA in HS with a similar effect size (-0.53). A model including patients and HS found an effect of CSWG on Δleft NAA (p = 0.007), but no diagnosis effect and no diagnosis × CSWG interaction, confirming that CSWG had similar effects in patients and HS.

CONCLUSION

CSWG is a risk factor for decreasing hippocampal NAA in BD patients and HS. These results suggest that the well-known finding of reduced NAA in BD may result from higher body mass index in patients rather than BD diagnosis.

Call to action regarding the vascular-bipolar link: A report from the Vascular Task Force of the International Society for Bipolar Disorders

OBJECTIVES

The association of bipolar disorder with early and excessive cardiovascular disease was identified over a century ago. Nonetheless, the vascular-bipolar link remains underrecognized, particularly with regard to how this link can contribute to our understanding of pathogenesis and treatment.

METHODS

An international group of experts completed a selective review of the literature, distilling core themes, identifying limitations and gaps in the literature, and highlighting future directions to bridge these gaps.

RESULTS

The association between bipolar disorder and vascular disease is large in magnitude, consistent across studies, and independent of confounding variables where assessed. The vascular-bipolar link is multifactorial and is difficult to study given the latency between the onset of bipolar disorder, often in adolescence or early adulthood, and subsequent vascular disease, which usually occurs decades later. As a result, studies have often focused on risk factors for vascular disease or intermediate phenotypes, such as structural and functional vascular imaging measures. There is interest in identifying the most relevant mediators of this relationship, including lifestyle (eg, smoking, diet, exercise), medications, and systemic biological mediators (eg, inflammation). Nonetheless, there is a paucity of treatment studies that deliberately engage these mediators, and thus far no treatment studies have focused on engaging vascular imaging targets.

CONCLUSIONS

Further research focused on the vascular-bipolar link holds promise for gleaning insights regarding the underlying causes of bipolar disorder, identifying novel treatment approaches, and mitigating disparities in cardiovascular outcomes for people with bipolar disorder.

Improving Functioning, Quality of Life, and Well-being in Patients With Bipolar Disorder

People with bipolar disorder frequently experience persistent residual symptoms, problems in psychosocial functioning, cognitive impairment, and poor quality of life. In the last decade, the treatment target in clinical and research settings has focused not only on clinical remission, but also on functional recovery and, more lately, in personal recovery, taking into account patients' well-being and quality of life. Hence, the trend in psychiatry and psychology is to treat bipolar disorder in an integrative and holistic manner. This literature review offers an overview regarding psychosocial functioning in bipolar disorder. First, a brief summary is provided regarding the definition of psychosocial functioning and the tools to measure it. Then, the most reported variables influencing the functional outcome in patients with bipolar disorder are listed. Thereafter, we include a section discussing therapies with proven efficacy at enhancing functional outcomes. Other possible therapies that could be useful to prevent functional decline and improve functioning are presented in another section. Finally, in the last part of this review, different interventions directed to improve patients' well-being, quality of life, and personal recovery are briefly described.

Is interval training the magic bullet for fat loss? A systematic review and meta-analysis comparing moderate-intensity continuous training with high-intensity interval training (HIIT)

OBJECTIVES

To compare the effects of interval training and moderate-intensity continuous training (MOD) on body adiposity in humans, and to perform subgroup analyses that consider the type and duration of interval training in different groups.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

English-language, Spanish-language and Portuguese-language searches of the electronic databases PubMed and Scopus were conducted from inception to 11 December 2017.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Studies that met the following criteria were included: (1) original articles, (2) human trials, (3) minimum exercise training duration of 4 weeks, and (4) directly or indirectly compared interval training with MOD as the primary or secondary aim.

RESULTS

Of the 786 studies found, 41 and 36 were included in the qualitative analysis and meta-analysis, respectively. Within-group analyses showed significant reductions in total body fat percentage (%) (interval training: -1.50 [95% CI -2.14 to -0.86, p<0.00001] and MOD: -1.44 [95% CI -2.00 to -0.89, p<0.00001]) and in total absolute fat mass (kg) (interval training: -1.58 [95% CI -2.74 to -0.43, p=0.007] and MOD: -1.13 [95% CI -2.18 to -0.08, p=0.04]), with no significant differences between interval training and MOD for total body fat percentage reduction (-0.23 [95% CI -1.43 to 0.97], p=0.705). However, there was a significant difference between the groups in total absolute fat mass (kg) reduction (-2.28 [95% CI -4.00 to -0.56], p=0.0094). Subgroup analyses comparing sprint interval training (SIT) with MOD protocols favour SIT for loss of total absolute fat mass (kg) (-3.22 [95% CI -5.71 to -0.73], p=0.01). Supervised training, walking/running/jogging, age (<30 years), study quality and intervention duration (<12 weeks) favourably influence the decreases in total absolute fat mass (kg) observed from interval training programmes; however, no significant effect was found on total body fat percentage (%). No effect of sex or body mass index was observed on total absolute fat mass (kg) or total body fat percentage (%).

CONCLUSION

Interval training and MOD both reduce body fat percentage (%). Interval training provided 28.5% greater reductions in total absolute fat mass (kg) than MOD.

TRIAL REGISTRATION NUMBER

CRD42018089427.

Weight gain as a predictor of frontal and temporal lobe volume loss in bipolar disorder: A prospective MRI study

OBJECTIVES

A sizable fraction of people with bipolar I disorder (BDI) experience a deteriorating clinical course with increasingly frequent mood episodes and chronic disability. This is believed to result from neurobiological illness progression, or neuroprogression. Excessive weight gain predicts neuroprogression across multiple brain illnesses, but no prospective studies have investigated this in BDI. The objective of this study was to determine whether BDI patients who experienced clinically significant weight gain (CSWG; gaining ≥7% of baseline weight) over 12 months had greater 12-month brain volume loss in frontal and temporal regions important to BDI.

METHODS

In 55 early-stage BDI patients we measured (i) rates of CSWG, (ii) the number of days with mood symptoms, using NIMH LifeCharts, and (iii) baseline and 12-month brain volumes, using 3T MRI. We quantified brain volumes using the longitudinal processing stream in FreeSurfer v6.0. We used general linear models for repeated measures to investigate whether CSWG predicted volume loss, adjusting for potentially confounding clinical and treatment variables.

RESULTS

After correction for multiple comparisons, CSWG in patients predicted greater volume loss in the left orbitofrontal cortex (effect size [ES; Cohen's d] = -1.01, P = 0.002), left cingulate gyrus (ES = -1.31, P < 0.001), and left middle temporal gyrus (ES = -0.96, P = 0.004). Middle temporal volume loss predicted more days with depression (β = -0.406, P = 0.010).

CONCLUSIONS

These are the first prospective data on weight gain and neuroprogression in BDI. CSWG predicted neuroprogression, and neuroprogression predicted a worse clinical illness course. Trials of weight loss interventions are needed to confirm the causal direction of the weight gain-neuroprogression relationship, and to determine whether weight loss is a disease-modifying treatment.

Obesity in patients with major depression is related to bipolarity and mixed features: evidence from the BRIDGE-II-Mix study

OBJECTIVES

The Bipolar Disorders: Improving Diagnosis, Guidance and Education (BRIDGE)-II-Mix study aimed to estimate the frequency of mixed states in patients with a major depressive episode (MDE) according to different definitions. The present post-hoc analysis evaluated the association between obesity and the presence of mixed features and bipolarity.

METHODS

A total of 2811 MDE subjects were enrolled in a multicenter cross-sectional study. In 2744 patients, the body mass index (BMI) was evaluated. Psychiatric symptoms, and sociodemographic and clinical variables were collected, comparing the characteristics of MDE patients with (MDE-OB) and without (MDE-NOB) obesity.

RESULTS

Obesity (BMI ≥30) was registered in 493 patients (18%). In the MDE-OB group, 90 patients (20%) fulfilled the DSM-IV-TR criteria for bipolar disease (BD), 225 patients (50%) fulfilled the bipolarity specifier criteria, 59 patients (13%) fulfilled DSM-5 criteria for MDEs with mixed features, and 226 patients (50%) fulfilled Research-Based Diagnostic Criteria for an MDE. Older age, history of (hypo)manic switches during antidepressant treatment, the occurrence of three or more MDEs, atypical depressive features, antipsychotic treatment, female gender, depressive mixed state according to DSM-5 criteria, comorbid eating disorders, and anxiety disorders were significantly associated with the MDE-OB group. Among (hypo)manic symptoms during the current MDE, psychomotor agitation, distractibility, increased energy, and risky behaviors were the variables most frequently associated with MDE-OB group.

CONCLUSIONS

In our sample, the presence of obesity in patients with an MDE seemed to be associated with higher rates of bipolar spectrum disorders. These findings suggest that obesity in patients with an MDE could be considered as a possible marker of bipolarity.

Body mass index associates with white matter microstructure in bipolar depression

OBJECTIVES

Obesity has been reported in over 60% of bipolar disorder (BD) patients. It worsens the severity of illness, and influences cognition and functional outcomes. White matter (WM) abnormalities are one of the most consistently reported findings in neuroimaging studies of BD. We hypothesized that body mass index (BMI) could correlate with WM integrity in bipolar patients.

METHODS

We evaluated BMI in a sample of 164 depressed patients affected by BD. We performed whole-brain tract-based spatial statistics with threshold-free cluster enhancement for the diffusion tensor imaging (DTI) measures of WM integrity: fractional anisotropy; axial, radial, and mean diffusivity.

RESULTS

We observed that BMI was associated with DTI measures of WM integrity in several fiber tracts: anterior corona radiata, anterior thalamic radiation, inferior fronto-occipital fasciculus and corpus callosum.

CONCLUSIONS

The association of BMI in key WM tracts that are crucial to mood regulation and neurocognitive functioning suggests that BMI might contribute to the pathophysiology of BD through a detrimental action on structural connectivity in critical cortico-limbic networks.

Trajectories of body mass index change in first episode of mania: 3-year data from the Systematic Treatment Optimization Program for Early Mania (STOP-EM)

BACKGROUND

Overweight/obesity is common in patients with bipolar disorder (BD). However, little is known about longitudinal trends in body mass index (BMI) in patients with BD. Furthermore, most studies on the association between BMI and clinical outcomes are restricted by retrospective and cross-sectional designs. This study uses prospectively-gathered data from a first episode mania (FEM) cohort to examine the trajectories of BMI change and analyze their association with clinical outcomes during a 3-year period.

METHODS

A total of 110 FEM patients receiving maintenance treatment and 57 healthy subjects were included. The comparisons of BMI trajectories were examined using linear mixed-effects models. The effects of BMI on time to any mood episode were assessed by Cox proportional-hazards models.

RESULTS

The estimated mean BMI in FEM patients significantly increased from 24.0kg/m² to 25.4kg/m² within 6 months. FEM patients had a significant BMI increase trend over the entire 3 years follow-up, which was not observed in the control group. No significant difference in BMI trajectory between patient subgroups (baseline normal-weight vs. overweight/obese; male vs. female) was observed. BMI increase predicted an increased risk of recurrence during follow-up visits (HR=1.50, 95% CI: 1.06-2.13; p=0.02).

LIMITATIONS

Naturalistic design does not allow the accurate assessments of the impact of pharmacologic treatments on BMI.

CONCLUSIONS

FEM patients showed a significantly increased BMI trajectory compared to healthy subjects. Furthermore, BMI increase is independently associated with an increased risk of recurrence to a new mood episode during 3-year follow-up. Thus, weight control prevention is needed in the early course of BD.

Factors associated with overweight and obesity in schizophrenia, schizoaffective and bipolar disorders

Evidence suggests abnormal bioenergetic status throughout the body in psychotic disorders. The present study examined predictors of elevated body mass index (BMI) across diagnostic categories of schizophrenia, schizoaffective and bipolar disorders. In a cross-sectional study, we studied demographic and clinical risk factors for overweight and obesity in a well-characterized sample of 262 inpatients and outpatients with schizophrenia (n=59), schizoaffective disorder (n=81) and bipolar I disorder (n=122). Across the three diagnostic categories, the prevalence of overweight (29.4%) and obesity (33.2%) combined was 62.6% (164/262). Logistic regression analyses, adjusted for age, sex and ethnicity, showed that schizoaffective disorder, lifetime major depressive episode, presence of prior suicide attempt, and more than 5 lifetime hospitalizations were significantly associated with BMI≥25. Patients with schizophrenia had significantly lower risk for overweight and obesity. Overall, we found that affective components of illness were associated with elevated BMI in our cross-diagnostic sample. Our results show that patients with schizoaffective disorder have a greater risk for obesity. Identifying predictors of elevated BMI in patients with psychotic and mood disorders will help prevent obesity and related cardiovascular and cerebral complications. Future studies are needed to elucidate the mechanistic nature of the relationship between obesity and psychiatric illness.

Predictors of functional outcome after a manic episode

BACKGROUND

The identification of functional outcome predictors after acute episodes of bipolar disorders (BD) may allow designing appropriate treatment aiming at restoring psychosocial functioning. Our objective was to identify the best functional outcome predictors at a 6-month follow-up after an index manic episode.

METHODS

We conducted a naturalistic trial (MANACOR) focusing on the global burden of BD, with special emphasis on manic episode-associated costs. We observed patients with BD seen in services of four hospitals in Catalonia (Spain).The total sample included 169 patients with chronic DSM-IV-TR BD I suffering from an acute manic episode who were followed-up for 6 months. In this subanalysis we report the results of a stepwise multiple regression conducted by entering in the model those clinical and sociodemographic variables that were identified through preliminary bivariate Pearson correlations and using total scores on the Functioning Assessment Short Test (FAST) at the 6-month follow-up as the dependent variable.

RESULTS

Number of previous depressive episodes (Beta=3.25; t=3.23; p=0.002), presence of psychotic symptoms during the manic index episode (Beta=7.007; t=2.2; p=0.031) and the Body Mass Index (BMI) at baseline (Beta=0.62; t=2.09; p=0.041) were best predictors of functional outcome after a manic episode.

LIMITATIONS

The main limitations of this study include the retrospective assessment of the episodes, which can be a source of bias, and the 6-month follow-up might have been too short for assessing the course of a chronic illness.

CONCLUSIONS

Psychotic symptoms at index episode, number of past depressive episodes, and BMI predict worse outcome after 6 months follow-up after a manic episode, and may constitute the target of specific treatment strategies.

Neurocognitive functioning in overweight and obese patients with bipolar disorder: data from the Systematic Treatment Optimization Program for Early Mania (STOP-EM)

OBJECTIVE

Obesity is frequent in people with bipolar I disorder (BD I) and has a major impact on the course of the illness. Although obesity negatively influences cognitive function in patients with BD, its impact in the early phase of the disorder is unknown. We investigated the impact of overweight and obesity on cognitive functioning in clinically stable patients with BD recently recovered from their first manic episode.

METHOD

Sixty-five patients with BD (25 overweight or obese and 40 normal weight) recently remitted from a first episode of mania and 37 age- and sex-matched healthy control. subjects (9 overweight or obese and 28 normal weight) were included in this analysis from the Systematic Treatment Optimization Program for Early Mania (commonly referred to as STOP-EM). All subjects had their cognitive function assessed using a standard neurocognitive battery. We compared cognitive function between normal weight patients, overweight-obese patients, and normal weight healthy control subjects.

RESULTS

There was a negative affect of BD diagnosis on the domains of attention, verbal memory, nonverbal memory, working memory, and executive function, but we were unable to find an additional effect of weight on cognitive functioning in patients. There was a trend for a negative correlation between body mass index and nonverbal memory in the patient group.

CONCLUSIONS

These data suggest that overweight-obesity does not negatively influence cognitive function early in the course of BD. Given that there is evidence for a negative impact of obesity later in the course of illness, there may be an opportunity to address obesity early in the course of BD.

Comparative study of prevalence of metabolic syndrome in bipolar disorder and schizophrenia from North India

BACKGROUND

Very few studies have compared the prevalence of metabolic syndrome (MS) between patients with bipolar disorder and schizophrenia.

AIM

The study aimed to compare the prevalence of MS in patients with bipolar disorder and schizophrenia.

MATERIALS AND METHODS

By consecutive sampling, 126 patients with schizophrenia and 72 patients with bipolar disorder admitted to a psychiatry inpatient unit were evaluated for the presence of MS using the criteria of International Diabetes Federation (IDF) and modified National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP-III). A control group of 50 healthy subjects was used to represent the general prevalence of MS in the community.

RESULTS

In the bipolar disorders group, 40 patients (55.55%) fulfilled IDF criteria and 45 (62.5%) satisfied modified NCEP ATP-III criteria for MS. These figures were significantly higher than those for the schizophrenia group (34.1% IDF and 36.5% modified NCEP ATP-III criteria). Prevalence of MS was 6% in the healthy control group and significantly less than both schizophrenia and bipolar disorder group.

CONCLUSION

In the sample studied, prevalence of MS is significantly higher in bipolar disorder compared with schizophrenia. The prevalence of MS in both the clinical groups was significantly higher than the healthy control group.

Weight considerations in psychotropic drug prescribing and switching

Our review describes potential weight-altering effects of psychotropic medications (antipsychotics, antidepressants, anti-anxiety medications, mood stabilizers, sedative-hypnotics, medications for attention-deficit/hyperactivity disorder, and other psychotropic medications) and offers guidance on switching a medication if its weight-altering effect becomes problematic. For second-generation antipsychotics, the risk of weight gain is high with clozapine and olanzapine, low with amisulpride, aripiprazole, and ziprasidone, and medium with other second-generation antipsychotics. Switching from a high-risk antipsychotic to a low-risk antipsychotic usually mitigates or reverses weight gain. For second-generation antidepressants, there may be modest weight loss with bupropion and modest weight gain with mirtazapine and paroxetine. Other second-generation antidepressants are weight neutral but individual variations can occur. If significant change in weight occurs, switching to or adding a low-risk second-generation antidepressant should be considered. Mood stabilizers include lithium, valproate, carbamazepine, lamotrigine, oxcarbazepine, and most second-generation antipsychotics. Risk of weight gain is high with lithium and valproate and low with carbamazepine, lamotrigine, and oxcarbazepine. Given the complexity of bipolar disorder and its management, a switch of a mood stabilizer would be best done by a psychiatrist. Benzodiazepines, non-benzodiazepine and melatonergic hypnotics, doxepin, and trazodone are weight neutral. Diphenhydramine may cause weight-gain and can be switched to a weight-neutral hypnotic if needed. Stimulants can cause varying degrees of weight loss and switching to atomoxetine or bupropion may reverse this problem. If that fails, switching to clonidine or guanfacine can be tried. Switching must be evidence-based and take into account status of the condition being treated, efficacy, side effect profile, potential drug-drug interactions, required laboratory monitoring and cost of the drug(s) being considered, and patient's pregnancy status or plan. Non-pharmacological interventions both for mental disorders and overweight/obesity must be fully availed.

Obesity and the three-year longitudinal course of bipolar disorder

OBJECTIVES

Despite substantial cross-sectional evidence that obesity is associated with an increased medical and psychiatric burden in bipolar disorder (BD), few longitudinal studies have examined this topic.

METHODS

Subjects with BD (n = 1600) who completed both Wave 1 and Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions were included. Analyses examined the association between obesity at Wave 1, and the subsequent course of BD, and of psychiatric and medical comorbidities, between Wave 1 and Wave 2.

RESULTS

BD subjects with obesity (n = 506; 29.43%), compared to BD subjects without obesity (n = 1094; 70.57%) were significantly more likely to have a major depressive episode and to receive counseling for depression during follow-up, more likely to report a lifetime suicide attempt, and less likely to develop new-onset alcohol use disorders. These differences were no longer significant, however, after controlling for baseline demographic variables. No significant differences in new episodes or treatment of mania/hypomania were observed. After controlling for demographic variables, obese subjects remained significantly more likely to report any new-onset medical condition [odds ratio (OR) = 2.32, 95% confidence interval (CI): 1.63-3.30], new-onset hypertension (OR = 1.81, 95% CI: 1.16-2.82) and arthritis (OR = 1.64, 95% CI: 1.07-2.52). Obese subjects were significantly more likely to report physician-diagnosed diabetes (OR = 6.98, 95% CI: 4.27-11.40) and hyperlipidemia (OR = 2.32, 95% CI: 1.63-3.30) (assessed in Wave 2 only). The incidence of heart attacks was doubled among obese subjects, although this difference was not statistically significant.

CONCLUSIONS

The association between obesity and increased prospective depressive burden appears to be explained by baseline demographic variables. By contrast, obesity independently predicts the accumulation of medical conditions among adults with BD. Treatment of obesity could potentially mitigate the psychiatric and medical burden of BD.

Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) collaborative update of CANMAT guidelines for the management of patients with bipolar disorder: update 2013

The Canadian Network for Mood and Anxiety Treatments published guidelines for the management of bipolar disorder in 2005, with updates in 2007 and 2009. This third update, in conjunction with the International Society for Bipolar Disorders, reviews new evidence and is designed to be used in conjunction with the previous publications.The recommendations for the management of acute mania remain largely unchanged. Lithium, valproate, and several atypical antipsychotic agents continue to be first-line treatments for acute mania. Monotherapy with asenapine, paliperidone extended release (ER), and divalproex ER, as well as adjunctive asenapine, have been added as first-line options.For the management of bipolar depression, lithium, lamotrigine, and quetiapine monotherapy, as well as olanzapine plus selective serotonin reuptake inhibitor (SSRI), and lithium or divalproex plus SSRI/bupropion remain first-line options. Lurasidone monotherapy and the combination of lurasidone or lamotrigine plus lithium or divalproex have been added as a second-line options. Ziprasidone alone or as adjunctive therapy, and adjunctive levetiracetam have been added as not-recommended options for the treatment of bipolar depression. Lithium, lamotrigine, valproate, olanzapine, quetiapine, aripiprazole, risperidone long-acting injection, and adjunctive ziprasidone continue to be first-line options for maintenance treatment of bipolar disorder. Asenapine alone or as adjunctive therapy have been added as third-line options.

Associations between health risk behaviors and symptoms of schizophrenia and bipolar disorder: a systematic review

OBJECTIVE

To systematically review the literature to determine if health risk behaviors in patients with schizophrenia or bipolar disorder are associated with subsequent symptom burden or level of functioning.

METHOD

Using the PRISMA systematic review method we searched PubMed, Cochrane, PsychInfo and EMBASE databases with key words: health risk behaviors, diet, obesity, overweight, BMI, smoking, tobacco use, cigarette use, sedentary lifestyle, sedentary behaviors, physical inactivity, activity level, fitness, sitting AND schizophrenia, bipolar disorder, bipolar illness, schizoaffective disorder, severe and persistent mental illness, and psychotic to identify prospective, controlled studies of greater than 6 months duration. Included studies examined associations between sedentary lifestyle, smoking, obesity, physical inactivity and subsequent symptom severity or functional impairment in patients with schizophrenia or bipolar disorder.

RESULTS

Eight of the 2130 articles identified met inclusion criteria and included 508 patients with a health risk behavior and 825 controls. Six studies examined tobacco use, and two studies examined weight gain/obesity. Seven studies found that patients with schizophrenia or bipolar illness and at least one health risk behavior had more severe subsequent psychiatric symptoms and/or decreased level of functioning.

CONCLUSION

Tobacco use and weight gain/obesity may be associated with increased severity of symptoms of schizophrenia and bipolar disorder or decreased level of functioning.

Obesity in bipolar disorder: an overview

Bipolar disorder (BD) is associated with obesity, overweight, and abdominal obesity, and BD individuals with obesity have a greater illness burden. Factors related to BD, its treatment, and the individual may all contribute to BD's association with obesity. Management strategies for the obese BD patient include use of medications with better metabolic profiles, lifestyle interventions, and adjunctive pharmacotherapy for weight loss. Obesity-related psychiatric and medical comorbidities should also be assessed and managed. Bariatric surgery may be an option for carefully selected patients. Greater research into the theoretical underpinnings and clinical management of the BD-obesity connection is needed.

Systematic Review and Meta-analysis of Pharmacological Interventions for Weight Gain from Antipsychotics and Mood Stabilizers

Pharmacological treatments for serious mental illness (SMI) can cause weight gain and adverse metabolic effects. Many second generation antipsychotics and mood stabilizers appear to be particularly problematic in this regard. Several studies have investigated interventions for antipsychotic-induced, or less commonly mood stabilizer -induced, weight gain. Both lifestyle and pharmacological interventions have demonstrated effectiveness. We systematically review randomized controlled trials of pharmacological interventions for weight gain related to these medications. We conducted a meta-analysis of clinical trials for the most studied agents to estimate mean weight loss: metformin (2.93 kg, 95% C.I. 0.97-4.89, p=0.003), H(2) antagonists (1.78 kg (95% C.I. -0.50-4.06, p=0.13), topiramate (3.95 kg 95% C.I. 1.77-6.12, p=0.0004), and norepinephrine reuptake inhibitors (1.30 kg (95% C.I. -0.06-2.66, p=0.06). Among the studied options for antipsychotic-related weight gain, metformin has the strongest evidence base and may improve vascular risk factors beyond obesity. The use of topiramate is also supported by the literature and may improve psychotic symptoms in those refractory to treatment. A marginal benefit is seen with norepinephrine reuptake inhibitors, and any vascular benefits from such weight loss may be counteracted by increases in blood pressure or heart rate. Pharmacological therapies may offer benefits as a means of supplementing the effects of lifestyle changes for weight loss. However, the existing evidence provides little evidence of specificity for pharmacological therapies to antipsychotic-induced weight gain and has not studied any connection between benefits and reduced incidence of diabetes mellitus or any vascular outcomes.

The association of elevated body mass index with reduced brain volumes in first-episode mania

BACKGROUND

Compared with normal-weight patients, obese patients with bipolar I disorder (BD) suffer more manic and depressive episodes and make more suicide attempts. In the general population, obesity is associated with reduced total brain volume (TBV) and gray matter volume (GMV), but the neurobiology of obesity in BD has not been investigated.

METHODS

We used magnetic resonance imaging to examine TBV, GMV, white matter volume (WMV), as well as frontal, parietal, occipital, and temporal lobe volumes, in 55 healthy subjects (17 overweight/obese and 38 normal weight) and 57 patients with BD following their first manic episode (20 overweight/obese and 37 normal weight).

RESULTS

Linear regression analyses demonstrated that when other predictors of brain volume were accounted for, increased body mass index (BMI) in healthy subjects was significantly associated with decreased TBV and GMV. In contrast, increased BMI in patients with BD was significantly associated with decreased WMV and temporal lobe volume, areas of known vulnerability in early BD.

CONCLUSIONS

This is the first published report to show a relationship between elevated BMI and reduced brain volumes in BD, or any psychiatric illness. Our results suggest that obesity is associated with unique neurobiological changes in BD. They further imply a possible biological mechanism underlying the association between obesity and a more severe illness course in BD.

The burden of obesity among adults with bipolar disorder in the United States

OBJECTIVES

Previous studies of clinical samples of adults with bipolar disorder (BD) suggest that there is increased prevalence of obesity and that obesity is associated with greater BD severity. We therefore examined this topic in a representative epidemiologic sample.

METHODS

The 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions was used to determine whether the prevalence of obesity is elevated among subjects with lifetime BD, and whether obesity is associated with greater severity of BD.

RESULTS

The age-, race-, and sex-adjusted prevalence of obesity was significantly greater among subjects with BD versus controls [odds ratio (OR) = 1.65, 95% confidence interval (CI): 1.45-1.89, p < 0.001]. Obesity among subjects with BD was significantly positively associated with greater age, female sex, comorbid anxiety and medical conditions, and depression-related treatment utilization, and significantly negatively associated with past-year substance use disorder (SUD). In multivariable analyses, obesity among adults with BD was positively associated with age, comorbid anxiety disorders, duration of depressive episodes, and history of hospitalization for depression, and negatively associated with past-year SUD.

CONCLUSIONS

The increased prevalence of obesity in BD and its association with illness severity, particularly in relation to depression, cannot be attributed to biases inherent in treatment-seeking samples. Future studies are needed to examine the direction of the observed associations and to develop preventive and treatment strategies seeking to mitigate the burden of obesity in BD.