Isabella Soreca

The Role of Interpersonal and Social Rhythm Therapy in Improving Occupational Functioning in Patients With Bipolar I Disorder

OBJECTIVE Recent studies demonstrate the poor psychosocial outcomes associated with bipolar disorder. Occupational functioning, a key indicator of psychosocial disability, is often severely affected by the disorder. The authors describe the effect of acute treatment with interpersonal and social rhythm therapy on occupational functioning over a period of approximately 2.5 years. METHOD Patients with bipolar I disorder were randomly assigned to receive either acute and maintenance interpersonal and social rhythm therapy, acute and maintenance intensive clinical management, acute interpersonal and social rhythm therapy and maintenance intensive clinical management, or acute intensive clinical management and maintenance interpersonal and social rhythm therapy, all with appropriate pharmacotherapy. Occupational functioning was measured with the UCLA Social Attainment Scale at baseline, at the end of acute treatment, and after 1 and 2 years of maintenance treatment. RESULTS The main effect of treatment did not reach conventional levels of statistical significance; however, the authors observed a significant time by initial treatment interaction. Participants initially assigned to interpersonal and social rhythm therapy showed more rapid improvement in occupational functioning than those initially assigned to intensive clinical management, primarily accounted for by greater improvement in occupational functioning during the acute treatment phase. At the end of 2 years of maintenance treatment, there were no differences between the treatment groups. A gender effect was also observed, with women who initially received interpersonal and social rhythm therapy showing more marked and rapid improvement. There was no effect of maintenance treatment assignment on occupational functioning outcomes. CONCLUSIONS In this study, interpersonal and social rhythm therapy, with its emphasis on amelioration of interpersonal and role functioning, improved occupational functioning significantly more rapidly than did a psychoeducational and supportive approach with no such emphasis on functional capacities.

Bipolar disorder and the metabolic syndrome: causal factors, psychiatric outcomes and economic burden.

Overweight and obesity are highly prevalent in patients with bipolar disorder, and metabolic disorders also affect a significant portion of this population. Obesity and metabolic disorders cause significant economic burden and impair quality of life in both the general population and patients with bipolar disorder. This review examines the relationship between bipolar disorder and the metabolic syndrome, and the associated economic impact.The metabolic syndrome and bipolar disorder appear to share common risk factors, including endocrine disturbances, dysregulation of the sympathetic nervous system, and behaviour patterns, such as physical inactivity and overeating. In addition, many of the commonly used pharmacological treatments for bipolar disorder may intensify the medical burden in bipolar patients by causing weight gain and metabolic disturbances, including alterations in lipid and glucose metabolism, which can result in an increased risk for diabetes mellitus, hypertension, dyslipidaemia, cardiovascular disease and the metabolic syndrome. These medical co-morbidities and obesity have been associated with a worse disease course and likely contribute to the premature mortality observed in bipolar patients. Weight gain is also a major cause of treatment noncompliance, increased use of outpatient and inpatient services and, consequently, higher healthcare costs. Prevention of weight gain and metabolic disturbances or early intervention when these are present in bipolar disorder could result in significant health and economic benefits.

Medical burden in late-life bipolar and major depressive disorders.

BACKGROUND Elderly patients with bipolar disorder have been found to have higher mortality than those with major depressive disorder. The authors compare medical burden in elderly patients with bipolar disorder with that in those with major depressive disorder. METHODS Fifty-four patients with bipolar I or II disorder who were 60 years of age and older were equated 1-to-2 to 108 patients with nonpsychotic, major depressive disorder according to age, sex, race, and lifetime duration of mood disorder illness. Variables examined included the following: Cumulative Illness Rating Scale for Geriatrics (CIRS-G) total scores, body mass index (BMI), and CIRS-G subscale scores. RESULTS Compared with patients with major depressive disorder, patients with bipolar disorder had similar levels of general medical comorbidity on the CIRS-G total score and number of systems affected but higher BMI. After controlling for multiple comparisons, the endocrine/metabolic and respiratory subscale scores on the CIRS-G were higher for patients with bipolar disorder. CONCLUSION Although overall medical burden appears comparable in elderly patients with bipolar and those with major depressive disorder, patients with bipolar disorder have higher BMI and greater burden of endocrine/metabolic and respiratory disease.

Metabolic syndrome in Italian patients with bipolar disorder

OBJECTIVE This study aimed to evaluate the prevalence of metabolic syndrome (MetS) in Italian patients with bipolar disorder (BD) and to determine the sociodemographic and clinical correlates of MetS in this patient population. METHOD Subjects with BD I and II were included. Sociodemographic and clinical characteristics, lifestyle information (alcohol and smoking habits and rate of physical exercise) and comorbidity for cardiovascular diseases and diabetes were collected. Patients were assessed for MetS according to both National Cholesterol Education Program Adult Treatment Panel III and International Diabetes Federation (IDF) criteria. RESULTS MetS was evaluated in 99 patients out of 108 who were enrolled. MetS was present in 25.3% of the sample. Abdominal obesity was present in 50%, hypertension in 40%, high triglycerides in 34.7%, low HDL-C levels in 32.3% and fasting hyperglycemia in 11% of the sample. Prevalence of MetS was 30% when IDF criteria were employed. Of the investigated variables, age, duration of illness, rate of obesity and cardiovascular disease were higher in patients with MetS. After the regression analysis, only age and obesity were associated to MetS. CONCLUSIONS MetS is highly prevalent in Italian patients with BD. Our 25.3% prevalence rate is consistent with the 21-22% reported in other European studies and lower than that in U.S. studies. Elderly and obese patients with BD are at particularly high risk for MetS.

Chronotype and Body Composition in Bipolar Disorder

We explored whether obesity in patients with bipolar disorder is associated with their chronotype. A group of 29 patients with bipolar I disorder, not currently experiencing an affective episode, were assessed for total body fat, mood symptoms, and self-reported circadian chronotype and sleep quality. Chronotype explained 19% of the variance in body fat, after age, sex, mood state, and sleep quality were accounted for. This association suggested that evening chronotype patients have a higher percentage of total body fat. Evening chronotype could be a proxy for as yet unknown specific causes of the high rate of obesity and obesity-related diseases in bipolar disorder.

Sleep apnea risk and clinical correlates in patients with bipolar disorder

OBJECTIVE Despite the high prevalence of risk factors for obstructive sleep apnea (OSA) among individuals with bipolar disorder, the presence of sleep-disordered breathing has not been systematically assessed in this population. In this study, we sought to determine the level of risk for OSA in a population of remitted individuals with a diagnosis of bipolar I disorder. METHODS A total of 72 individuals with a diagnosis of bipolar I disorder, all of whom were overweight by the World Health Organization criteria, completed the Berlin Questionnaire, a self-assessment tool to establish risk for OSA. RESULTS Over half of this study population (54.1%) was found to be in the high-risk category for OSA. Participants at high risk for OSA scored significantly higher on measures of both depression and mania, even when sleep items were not counted in the total scores. CONCLUSIONS Sleep apnea may be prevalent in patients with bipolar I disorder. Considering the substantial overlap of symptoms between OSA and depression and the potentially harmful effects of sleep disruption in patients with mood disorders, a systematic screening to assess prevalence and associated features of OSA in patients with bipolar disorder is warranted.

Sleep duration is associated with dyslipidemia in patients with bipolar disorder in clinical remission

BACKGROUND The pathways to increased cardiovascular risk in bipolar disorder include health behaviors, psychosocial stress and long-term medication exposure. However, the evidence that the association between cardiovascular risk factors and bipolar disorder remains significant after controlling for these co-factors suggests that additional important risk factors have yet to be identified. Our hypothesis is that disturbances in the sleep-wake cycle are an important and under-recognized pathway through which affective disorders lead to increased cardiovascular risk. METHODS In patients with bipolar disorder type 1 in clinical remission, we: 1) explored whether sleep disturbance predicted the endorsement of NCEP ATP-III criteria for dyslipidemia, independent of other lifestyle factors and 2) tested the association between low HDL (NCEP-ATP III) and sleep duration measured with actigraphy over an eight-day period. RESULTS Median sleep duration is significantly associated with low HDL. The risk of having low HDL increases by 1.23 with every 30 minutes of reduced sleep time. LIMITATIONS Since sleep patterns in patients with bipolar disorder are variable and irregular, it is possible that other sleep characteristics, not present during the span of our study, or the variability itself may be what drives the increased cardiovascular risk. CONCLUSIONS Sleep characteristics of patients with bipolar disorder in clinical remission are associated with cardiovascular risk. More specifically, sleep duration was associated with low HDL. Clinicians should pay special attention to sleep hygiene in treating individuals with bipolar disorder, even when they are in clinical remission.

An Integrated Risk Reduction Intervention can reduce body mass index in individuals being treated for bipolar I disorder: results from a randomized trial.

We conducted a randomized, controlled trial comparing the efficacy of an Integrated Risk Reduction Intervention (IRRI) to a control condition with the objective of improving mood stability and psychosocial functioning by reducing cardiometabolic risk factors in overweight/obese patients with bipolar I disorder.

Binge eating, weight gain and psychosocial adjustment in patients with bipolar disorder

Binge Eating (BE) is a common eating pattern in patients with Bipolar Disorder (BD). BE may confer an increased risk for obesity, morbidity, mortality and poorer quality of life. We assessed the presence of BE and its impact on body weight, body image and self-esteem in 50 patients with BD and 50 age- and gender-matched controls. The presence and severity of BE was assessed with the Binge Eating Scale (BES). The Body Image and Self-Esteem Evaluation Scale (B-WISE) was used to assess the psychosocial impact of weight gain. Body Mass Index (BMI) was calculated. Nine (18%) patients had a score >27, indicating a likely diagnosis of BE. None of the control subjects had a BES score >17. No association between BES score and the medications was found. Patients had a significantly higher BES score, significantly higher BMI, waist circumference and fasting blood glucose. Although the B-Wise score was higher in the controls, the difference was not statistically significant. This study suggests that BE is prevalent in patients with BD. The presence of BE eating is a predictor of higher BMI, indicating that the disruption of eating behavior may be a pathway to weight gain.

The association between meal timing and frequency with cardiometabolic profile in patients with bipolar disorder

The goal of this study was to explore the association of timing of and frequency of meals with markers of cardiometabolic risk in patients with bipolar disorder in out‐patient maintenance treatment.