Change in prevalence of metabolic syndrome in patients with bipolar disorder

Grover, Sandeep; Mehra, Aseem; Chakravarty, Rahul; Jagota, Gopika; Sahoo, Swapnajeet

doi:10.1016/j.ajp.2019.101876

Cited by 11 publications

(10 citation statements)

References 17 publications

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“…In accordance with previous studies, we found that MetS cases were higher in the bipolar group (30%) than in the control group (15%; Garcia-Portilla et al, 2008 ; Babić et al, 2010 ; Salvi et al, 2011 ; Grover et al, 2012 , 2020 ; Czepielewski et al, 2013 ; Vancampfort et al, 2015 ; Almasabi et al, 2020 ). In HC, the prevalence was lower than in an Austrian comparative group ( Wascher, 2002 ), possibly caused by younger age and higher educational level in the control group.…”

Section: Discussionsupporting

confidence: 92%

“…Nevertheless, most studies agree that the prevalence of MetS is significantly higher in individuals with BD than in healthy controls (HC; Czepielewski et al, 2013;Vancampfort et al, 2016;Almasabi et al, 2020), with an odds ratio (OR) as high as 2.94 (95% CI, 2. 08-4.17;Almasabi et al, 2020) and that there is an increase in the MetS prevalence among patients with BD in the longitudinal course (Almasabi et al, 2020;Grover et al, 2020). Multiple factors that contribute to these high rates exist, among them psychopharmaceutical effects, inflammatory processes, and unhealthy lifestyle including poor diet and exercise habits (Gurpegui et al, 2012;Swartz and Fagiolini, 2012;Geddes and Miklowitz, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Metabolic Syndrome Impairs Executive Function in Bipolar Disorder

et al. 2021

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Background: Metabolic syndrome (MetS) is more prevalent in individuals with bipolar disorder and has a negative impact on cognition, in particular on executive function, which is already impaired in individuals with bipolar disorder compared to healthy controls.Methods: In a cross-sectional study, we compared 148 euthymic patients with bipolar disorder and 117 healthy controls in cognitive function depending on the diagnosis of MetS. A neuropsychological test battery was used including the Trail Making Test A/B, Stroop Color and Word Interference Test, the d2 Test of Attention Revised, and the California Verbal Learning Test. In addition, MetS variables as well as the defining variables waist circumference, serum triglyceride levels, high-density lipoprotein cholesterol levels, blood pressure, fasting glucose levels, and body mass index were compared between patients and controls. In addition, illness-related variables were associated with MetS in individuals with bipolar disorder.Results: The prevalence of MetS in patients with bipolar disorder was higher than in controls (30.4 vs. 15.4%). Patients with bipolar disorder with MetS had impaired executive function compared to patients without MetS or healthy controls with and without MetS (p = 0.020). No MetS effects or interaction MetS × Group was found in attention/processing speed (p = 0.883) and verbal learning/memory (p = 0.373). Clinical variables (illness duration, suicidality, number of affective episodes, medication, age of onset, and history of psychosis) did not relate to MetS in bipolar disorder (p > 0.05).Conclusion: Bipolar disorder comorbid with MetS bears additional risk for impaired executive function. Executive function includes action planning, inhibition, and impulse control and could play a critical role in keeping long-term goals in mind associated with gaining and maintaining a healthy weight.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Metabolic Syndrome Impairs Executive Function in Bipolar Disorder

et al. 2021

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“…Bipolar disorder is often accompanied by elevated blood lipid, abnormal glucose metabolism, obesity or elevated blood pressure; and even a considerable proportion of patients have MetS, which has been confirmed in many clinical studies. The prevalence of comorbidity with MetS in bipolar patients is very high, it may be related to special biology, lifestyle, and atypical antipsychotics [26]. This also suggests that MetS is indeed a problem in patients with bipolar disorder.…”

Section: Discussionmentioning

confidence: 99%

A Systematic Review and Meta-Analysis of Metabolic Syndrome Prevalence in Chinese Inpatients with Bipolar Disorder

et al. 2022

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To study prevalence of metabolic syndrome in Chinese patients with bipolar disorder. We searched Chinese literature related to the study in prevalence of metabolic syndrome in bipolar disorder in Chinese language,among which results such as comments, letters, reviews and case reports were excluded. The prevalence of metabolic syndrome in bipolar disorder was synthesized and discussed. A total of 1562 subjects were included in 11 studies. The prevalence of MetS in bipolar disorder was 33% (95%CI=0.29-0.37), which was higher significantly than normal control (10.82%), but similar to schizophrenia (31.59%). The 41.41% prevalence of MetS in male patients was higher significantly than that in female (26.83%).The prevalence of MetS in BD treated by AAP was 47.54%, by MS was 19.19%, by MS+AAP was 40%.The prevalence of MetS in BD treated by carbamazepine was 28.21%, by lithium was 30%, by valproate was 21.71%, by clozepine was 51.43%, by olanzapine was 39.84%, by quetiapine was 39.44, by risperidone was 35%. The prevalence of MetS in bipolar disorder was 33% (95%CI=0.29-0.37), which was higher significantly than normal control (10.82%), but similar to schizophrenia (31.59%). AAP and MS were the main one risks of MetS in BD.

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“…Different degrees of dyslipidemia, such as increased triglycerides (TG) ( 20 ), increased cholesterol (CHOL), low-density lipoprotein cholesterol (LDL-C) ( 21 ), or decreased high-density lipoprotein cholesterol (HDL-C) ( 22 ) are common in patients with BD. A decrease in HDL-C affects the central nervous system (CNS) and is a risk factor for BD patients ( 23 ).…”

Section: Introductionmentioning

confidence: 99%

Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder

Teng

Qiu

et al. 2021

Front. Psychiatry

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Default mode network (DMN) plays a key role in the pathophysiology of in bipolar disorder (BD). However, the homogeneity of this network in BD is still poorly understood. This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical variables in patients with BD. Forty drug-naive patients with BD and thirty-seven healthy control subjects participated in the study. Network homogeneity (NH) and independent component analysis (ICA) methods were used for data analysis. Support vector machines (SVM) method was used to analyze NH in different brain regions. Compared with healthy controls, significantly increased NH in the left superior medial prefrontal cortex (MPFC) and decreased NH in the right posterior cingulate cortex (PCC) and bilateral precuneus were found in patients with BD. NH in the right PCC was positively correlated with the verbal fluency test and verbal function total scores. NH in the left superior MPFC was negatively correlated with triglyceride (TG). NH in the right PCC was positively correlated with TG but negatively correlated with high-density lipoprotein cholesterol (HDL-C). NH in the bilateral precuneus was positively correlated with cholesterol and low-density lipoprotein cholesterol (LDL-C). In addition, NH in the left superior MPFC showed high sensitivity (80.00%), specificity (71.43%), and accuracy (75.61%) in the SVM results. These findings contribute new evidence of the participation of the altered NH of the DMN in the pathophysiology of BD.

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Change in prevalence of metabolic syndrome in patients with bipolar disorder

Cited by 11 publications

References 17 publications

Metabolic Syndrome Impairs Executive Function in Bipolar Disorder

Metabolic Syndrome Impairs Executive Function in Bipolar Disorder

A Systematic Review and Meta-Analysis of Metabolic Syndrome Prevalence in Chinese Inpatients with Bipolar Disorder

Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder

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