Body Mass Index Predicts Decline in Executive Function in Bipolar Disorder: Preliminary Data of a 12-Month Follow-up Study

Dalkner, Nina; Bengesser, Susanne; Birner, Armin; Rieger, Alexandra; Seebauer, Julia; Platzer, Martina; Hamm, Carlo; Maget, Alexander; Queissner, Robert; Pilz, René; Fellendorf, Frederike T.; Reininghaus, Bernd; Strassnig, Martin; Kapfhammer, Hans-Peter; Weiss, Elisabeth M.; Reininghaus, Eva

doi:10.1159/000505784

Cited by 10 publications

(8 citation statements)

References 59 publications

(65 reference statements)

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“…This includes the assessment of psychiatric symptomatology, somatic and psychiatric comorbidities, fasting blood samples, anthropometric measurements, cognitive tests, electroencephalogram, magnetic resonance imagining of the brain, and questionnaires on mood and lifestyle. For study design and preliminary results, see our previous reports ( Reininghaus et al, 2014 ; Dalkner et al, 2021 ). The patient inclusion criteria were diagnosis of BD using the structured clinical interview for DSM-IV ( Wittchen et al, 1997 ), age between 18 and 70 years, and premorbid IQ ≥ 80.…”

Section: Methodsmentioning

confidence: 99%

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: Methodsmentioning

confidence: 99%

Metabolic Syndrome Impairs Executive Function in Bipolar Disorder

et al. 2021

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“…This study surveyed former participants of the BIPLONG study, and all patients were diagnosed earlier with the Structured Clinical Interview for DSM-IV (SCID-I) and treated at the outpatient center for BD at the Medical University of Graz, Department of Psychiatry and Psychotherapeutic Medicine. Participants answered the questionnaires pseudo-anonymously using a participant code of former studies (see our recent report on the BIPLONG study by Dalkner et al 2020 ). Inclusion criteria included voluntary participation (informed consent), German native speakers, age above 18 years, and e-mail access.…”

Section: Methodsmentioning

confidence: 99%

Psychological symptoms during and after Austrian first lockdown in individuals with bipolar disorder? A follow-up control-group investigation

Dalkner

Wagner-Skacel

Ratzenhofer

et al. 2021

Int J Bipolar Disord

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Background The coronavirus disease (COVID-19) pandemic, a global health crisis, has resulted in widespread socioeconomic restrictions including lockdown, social distancing, and self-isolation. To date, little is known about the psychological impact of the COVID-19 pandemic and lockdown on patients with bipolar disorder as a particularly vulnerable group. Methods An online survey was conducted in Austria at two points of measurement (T1 April 2020 during the first lockdown vs. T2 May 2020 at post-lockdown). The sample comprises 20 patients with bipolar disorder (mean age = 49.4 ± 15.6 years) and 20 healthy controls (mean age = 32.7 ± 9.6 years). A 2 × 2 factorial design to compare two time points (T1 vs. T2) and two groups (patients vs. healthy controls) was used. Main outcome measures included the Brief Symptom Inventory-18 (BSI-18) and a (non-validated and non-standardized) assessment to determine COVID-19 fears and emotional distress due to social distancing. Multiple linear regression analyses were used to assess the longitudinal association of COVID-19 fears/emotional distress due to social distancing during lockdown (T1) and psychological symptoms after lockdown (T2). Results At T1, results demonstrated higher scores in BSI-18 subscales depression, anxiety and global severity index as well as emotional distress due to social distancing in bipolar patients compared to controls. There was a significant time x group interaction in the BSI-18 subscale somatization showing a decreasing trend in patients with BD compared to controls. No time effects in BSI-18 subscales or COVID-19 fears/emotional distress due to social distancing were observed. Regression analyses showed that COVID-19 fears during lockdown predicted somatization, only in patients. Conclusions There was a connection between the lockdown measures and somatization symptoms observed in patients. When the first steps of easing the social restrictions in May 2020 took place, somatization decreased only in the bipolar compared to the control group. Higher COVID-19 fears during lockdown predicted later symptoms at post-lockdown. Long-term impacts of the COVID-19 pandemic need further investigations to improve current therapeutic approaches and prevent fears and distress during lockdown in individuals with bipolar disorder in times of crisis.

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“…Twenty-seven studies explored the impact of metabolic dysregulation on cognitive outcomes in individuals with BD (Bai et al, 2016;Beunders et al, 2021;Bond et al, 2017;Chang et al, 2022;Dalkner et al, 2021aDalkner et al, , 2021bDepp et al, 2014;Hubenak, Tuma, & Bazant, 2015;Hui et al, 2019;Kadriu et al, 2023;La Montagna et al, 2017;Lackner et al, 2016;Li et al, 2015;Liebing et al, 2023;Mehra, Jagota, Sahoo, & Grover, 2022;Mora et al, 2017;Naiberg, Newton, Collins, Bowie, & Goldstein, 2016a;Naiberg et al, 2016b;Qiu et al, 2022;Reininghaus et al, 2022;Ringin et al, 2023aRingin et al, , 2023bSalvi et al, 2020;Silveira et al, 2014;Tsai, Lee, Chen, & Huang, 2007;Van Rheenen, McIntyre, Balanzá-Martínez, Berk, & Rossell, 2021;Yim et al, 2012), 15 in MDD (Cao et al, 2023;Fourrier et al, 2020;Geraets et al, 2022;Guan et al, 2021;Hidese et al, 2018;Kloiber et al, 2007;Kopchak & Pulyk, 2017;Kraus et al, 2023;Lan et al, 2022;Marijnissen et al, 2017;Péterfalvi et al, 2019;Shao et al, 2017;…”

Section: Study Characteristicsmentioning

confidence: 99%

Neurocognitive correlates of metabolic dysregulation in individuals with mood disorders: a systematic review and meta-analysis

Maksyutynska,

Stogios,

Prasad

et al. 2024

Psychol. Med.

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Individuals with mood disorders are predisposed to metabolic dysfunction, while those with metabolic dysregulation such as diabetes and obesity experience more severe depressive symptoms. Both metabolic dysfunction and mood disorders are independently associated with cognitive deficits. Therefore, given their close association, this study aimed to explore the association between metabolic dysfunction in individuals with mood disorders in relation to cognitive outcomes. A comprehensive search comprised of these three domains was carried out; a random-effects meta-analysis pooling mean cognitive outcomes was conducted (PROSPERO ID: CRD42022295765). Sixty-three studies were included in this review; 26 were synthesized in a quantitative meta-analysis. Comorbid metabolic dysregulation was associated with significantly lower global cognition among individuals with mood disorders. These trends were significant within each mood disorder subgroup, including major depressive disorder, bipolar disorder, and self-report depression/depressive symptoms. Type 2 diabetes was associated with the lowest cognitive performance in individuals with mood disorders, followed by peripheral insulin resistance, body mass index ⩾25 kg/m2, and metabolic syndrome. Significant reduction in scores was also observed among individual cognitive domains (in descending order) of working memory, attention, executive function, processing speed, verbal memory, and visual memory. These findings demonstrate the detrimental effects of comorbid metabolic dysfunction in individuals with mood disorders. Further research is required to understand the underlying mechanisms connecting mood disorders, metabolism, and cognition.

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Body Mass Index Predicts Decline in Executive Function in Bipolar Disorder: Preliminary Data of a 12-Month Follow-up Study

Cited by 10 publications

References 59 publications

Metabolic Syndrome Impairs Executive Function in Bipolar Disorder

Metabolic Syndrome Impairs Executive Function in Bipolar Disorder

Psychological symptoms during and after Austrian first lockdown in individuals with bipolar disorder? A follow-up control-group investigation

Neurocognitive correlates of metabolic dysregulation in individuals with mood disorders: a systematic review and meta-analysis

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