scholarly journals A Study On The Prevalence Of Minor Physical Anomalies In Schizophrenia And Bipolar Disorder And Their First Degree Relatives: A Comparative Study

2017 ◽  
Vol 4 (3) ◽  
pp. 252
Author(s):  
Shahnawaz Zafar ◽  
Rakesh Kumar ◽  
Avinash De Sousa
Keyword(s):  
Bipolar Disorder ◽  
Comparative Study ◽  
First Degree Relatives ◽  
Minor Physical Anomalies

scholarly journals Response Processes to Looming Appetitive and Aversive Cues in Euthymic Bipolar Patients and Their First-Degree Relatives: An Exploratory Study

2020 ◽  
pp. 025371762097528
Author(s):  
Velprashanth Venkatesan ◽  
Christoday R J Khess ◽  
Umesh Shreekantiah ◽  
Nishant Goyal ◽  
K. K. Kshitiz
Keyword(s):  
Bipolar Disorder ◽  
Healthy Controls ◽  
Sensitivity To Reward ◽  
Bipolar Group ◽  
First Degree Relatives ◽  
Vulnerability Model ◽  
Increased Sensitivity ◽  
Appetitive Cues ◽  
Spectrum Disorders ◽  
Bipolar Patients

Background: Patients with bipolar disorder demonstrate increased sensitivity to appetitive/rewarding stimuli even during euthymia. On presentation of arousing pictures, they show a peculiar response, suggesting heightened vigilance. While responding to looming arousing cues, studies show subjects with anxiety spectrum disorders exhibit increased reaction time (RT), explained by the “looming-vulnerability model.” This study aimed to investigate the responses to looming arousing cues in euthymic bipolar patients and their first-degree relatives, as compared to healthy controls. Method: A looming appetitive and aversive cue paradigm was designed for assessing the RT of patients to process appetitive and aversive cues. The behavioral inhibition/activation and sensitivity to reward/punishment amongst the groups were also assessed. Results: The bipolar group showed significantly longer RT to process appetitive cues irrespective of the looming condition. Aversive cues elicited significantly longer RT in both the bipolar group and in first-degree relatives, but only when presented with the looming condition. Significant looming bias was elicited in the bipolar group which suggested a particular cognitive style to looming cues. A composite measure of RT along with sensitivity to reward/punishment distinguishes the bipolar group and their first-degree relatives from the healthy controls. Conclusion: The looming vulnerability model may provide important insights for future exploration of cognitive endophenotypes in bipolar disorder.

scholarly journals Can Risk-Taking Be an Endophenotype for Bipolar Disorder? A Study on Patients with Bipolar Disorder Type I and Their First-Degree Relatives

2013 ◽  
Vol 19 (4) ◽  
pp. 474-482 ◽  
Author(s):  
Ceren Hıdıroğlu ◽  
Özlem Demirci Esen ◽  
Zeliha Tunca ◽  
Şehnaz Neslihan Gűrz Yalçìn ◽  
Lauren Lombardo ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Risk Taking ◽  
Outcome Measure ◽  
Bipolar Disorders ◽  
Type I ◽  
Balloon Analogue Risk Task ◽  
First Degree Relatives ◽  
Risk Taking Behavior ◽  
Disorder Type ◽  
Core Features

AbstractRisk-taking behavior and impulsivity are core features of bipolar disorder. Whether they are part of the inherited aspect of the illness is not clear. We aimed to evaluate risk-taking behavior as a potential endophenotype for bipolar disorders, and its relationship with impulsivity and illness features. The Balloon Analogue Risk Task (BART) and Barratt Impulsiveness Scale-11 (BIS-11) were used to assess risk-taking behavior and impulsivity respectively in 30 euthymic bipolar I patients (BD), their 25 asymptomatic first-degree relatives (BD-R), and 30 healthy controls (HC). The primary BART outcome measure was the behavioral adjustment score (number of pumps after trials where the balloon did not pop minus the number of pumps after trials where the balloon popped). BD (p< .001) and BD-R (p= .001) had similar and significantly lower adjustment scores than HC. Only BD scored significantly higher on BIS-11 total (p= .01) and motor (p= .04) subscales than HC. Neither the BART, nor impulsivity scores associated with illness features. A limitation of this study is medicated patients and a heterogeneous BD-R were included. Riskiness may be a candidate endophenotype for bipolar disorder as it appears independently from illness features, presents similarly in BD and BD-R groups and differs from impulsivity. (JINS, 2013,19, 1–9)

Risk and coaggregation of major psychiatric disorders among first-degree relatives of patients with bipolar disorder: a nationwide population-based study

2018 ◽  
Vol 49 (14) ◽  
pp. 2397-2404 ◽  
Author(s):  
Mu-Hong Chen ◽  
Ju-Wei Hsu ◽  
Kei-Lin Huang ◽  
Tung-Ping Su ◽  
Cheng-Ta Li ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Psychiatric Disorders ◽  
Population Based ◽  
Autism Spectrum ◽  
The Public ◽  
First Degree Relatives ◽  
Relative Risks ◽  
Dependent Relationship ◽  
Increased Risk ◽  
Bipolar Patients

AbstractBackgroundBipolar disorder is a highly heritable mental illness that transmits intergeneratively. Previous studies supported that first-degree relatives (FDRs), such as parents, offspring, and siblings, of patients with bipolar disorder, had a higher risk of bipolar disorder. However, whether FDRs of bipolar patients have an increased risk of schizophrenia, major depressive disorder (MDD), autism spectrum disorder (ASD), and attention deficit hyperactivity disorder (ADHD) remains unclear.MethodsAmong the entire population in Taiwan, 87 639 patients with bipolar disorder and 188 290 FDRs of patients with bipolar disorder were identified in our study. The relative risks (RRs) of major psychiatric disorders were assessed among FDRs of patients with bipolar disorder.ResultsFDRs of patients with bipolar disorder were more likely to have a higher risk of major psychiatric disorders, including bipolar disorder (RR 6.12, 95% confidence interval (CI) 5.95–6.30), MDD (RR 2.89, 95% CI 2.82–2.96), schizophrenia (RR 2.64, 95% CI 2.55–2.73), ADHD (RR 2.21, 95% CI 2.13–2.30), and ASD (RR 2.10, 95% CI 1.92–2.29), than the total population did. These increased risks for major psychiatric disorders were consistent across different familial kinships, such as parents, offspring, siblings, and twins. A dose-dependent relationship was also found between risk of each major psychiatric disorder and numbers of bipolar patients.ConclusionsOur study was the first study to support the familial coaggregation of bipolar disorder with other major psychiatric disorders, including schizophrenia, MDD, ADHD, and ASD, in a Taiwanese (non-Caucasian) population. Given the elevated risks of major psychiatric disorders, the public health government should pay more attention to the mental health of FDRs of patients with bipolar disorder.

Thirty-year cardiovascular risk score in patients with newly diagnosed bipolar disorder and their unaffected first-degree relatives

2018 ◽  
Vol 53 (7) ◽  
pp. 651-662 ◽  
Author(s):  
Klara Coello ◽  
Hanne L Kjærstad ◽  
Sharleny Stanislaus ◽  
Sigurd Melbye ◽  
Maria Faurholt-Jepsen ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Bipolar Disorder ◽  
Cardiovascular Risk ◽  
Risk Score ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Newly Diagnosed ◽  
Healthy Individuals ◽  
First Degree Relatives ◽  
Age And Sex

Objectives: Bipolar disorder is associated with a decreased life expectancy of 8–12 years. Cardiovascular disease is the leading cause of excess mortality. For the first time, we investigated the Framingham 30-year risk score of cardiovascular disease in patients with newly diagnosed/first-episode bipolar disorder, their unaffected first-degree relatives and healthy individuals. Methods: In a cross-sectional study, we compared the Framingham 30-year risk score of cardiovascular disease in 221 patients with newly diagnosed/first-episode bipolar disorder, 50 of their unaffected first-degree relatives and 119 healthy age- and sex-matched individuals with no personal or first-degree family history of affective disorder. Among patients with bipolar disorder, we further investigated medication- and illness-related variables associated with cardiovascular risk. Results: The 30-year risk of cardiovascular disease was 98.5% higher in patients with bipolar disorder ( p = 0.017) and 85.4% higher in unaffected first-degree relatives ( p = 0.042) compared with healthy individuals in models adjusted for age and sex. When categorizing participants in low cardiovascular risk without considering age and sex distribution among participants, 81% of patients were at low risk, versus 92% of unaffected relatives and 89% of healthy individuals. Of the patients 209 (94.6%) were diagnosed within the preceding 2 years. Smoking was more prevalent among patients with bipolar disorder (45.2%) and their unaffected first-degree relatives (20.4%) compared with healthy individuals (12.8%). Similarly, dyslipidemia was more common among patients with bipolar disorder compared with healthy individuals. Treatment with psychotropic medication with metabolic adverse effects was associated with higher 30-year cardiovascular disease risk score, whereas we did not find illness-related variables associated with cardiovascular risk among patients with bipolar disorder. Conclusion: We found an enhanced cardiovascular disease risk score in patients with newly diagnosed bipolar disorder and their unaffected first-degree relatives, which points to a need for specific primary preventive interventions against smoking and dyslipidemia in these populations.

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