scholarly journals 0897 Low Stability In Rest Activity Rhythms Is Associated With Higher Suicidal Ideation In Adolescents With Bipolar Disorder

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A360-A361
Author(s):  
Qianyi Chen ◽  
Peter Franzen ◽  
Tina Goldstein ◽  
Sarah Gratzmiller
2019 ◽  
Vol 10 ◽  
Author(s):  
Stephen F. Smagula ◽  
Swathi Gujral ◽  
Chandler S. Capps ◽  
Robert T. Krafty

2021 ◽  
pp. 1-14
Author(s):  
Elissa K. Hoopes ◽  
Melissa A. Witman ◽  
Michele N. D’Agata ◽  
Felicia R. Berube ◽  
Benjamin Brewer ◽  
...  

SLEEP ◽  
2021 ◽  
Author(s):  
Qian Xiao ◽  
Charles E Matthews ◽  
Mary Playdon ◽  
Cici Bauer

Abstract OBJECTIVES Previous studies conducted in mostly homogeneous sociodemographic samples have reported a relationship between weakened and/or disrupted rest-activity patterns and metabolic dysfunction. This study aims to examine rest-activity rhythm characteristics in relation to glycemic markers in a large nationally-representative and diverse sample of American adults. METHODS This study used data from the National Health and Nutrition Examination Survey 2011-2014. Rest-activity characteristics were derived from extended cosine models using 24-hour actigraphy. We used multinomial logistic regression and multiple linear regression models to assess the associations with multiple glycemic markers (i.e., glycated hemoglobin, fasting glucose and insulin, homeostatic model assessment of insulin resistance, and results from the oral glucose tolerance test), and compared the results across different categories of age, gender, race/ethnicity and body-mass index. RESULTS We found that compared to those in the highest quintile of F statistic , a model-fitness measure with higher values indicating a stronger cosine-like pattern of daily activity, participants in the lowest quintile (i.e, those with the weakest rhythmicity) were 2.37 times more likely to be diabetic (OR Q1 vs. Q5 2.37 (95% CI 1.72, 3.26), p-trend <.0001). Similar patterns were observed for other rest-activity characteristics, including lower amplitude (2.44 (1.60, 3.72)), mesor (1.39 (1.01, 1.91)), and amplitude:mesor ratio (2.09 (1.46, 2.99)), and delayed acrophase (1.46 (1.07, 2.00)). Results were consistent for multiple glycemic biomarkers, and across different sociodemographic and BMI groups. CONCLUSIONS Our findings support an association between weakened and/or disrupted rest-activity rhythms and impaired glycemic control among a diverse US population.


2006 ◽  
Vol 14 (7S_Part_26) ◽  
pp. P1389-P1390
Author(s):  
Adam P. Spira ◽  
Vadim Zipunnikov ◽  
Junrui Di ◽  
Mark N. Wu ◽  
Jennifer A. Schrack ◽  
...  

2020 ◽  
Author(s):  
Mbemba Jabbi ◽  
Wade Weber ◽  
Jeffrey Welge ◽  
Fabiano Nery ◽  
Maxwell Tallman ◽  
...  

ABSTRACTOver 2.3 million people in the United States live with bipolar disorder. Sixty percent of those with a bipolar disorder diagnosis attempt suicide at least once in their lifetime, and up to 19% die by suicide. However, the neurobiology of suicide attempts in bipolar disorder remains unclear. Here, we studied the neuroanatomical basis for suicide attempt history in bipolar disorder by measuring gray matter volumes (GMV) to identify differences in brain-volumes in 121 participants with bipolar disorder type I, and healthy participants (n=40). The bipolar group consisted of individuals with suicide attempt history (n=23) and no suicide attempt history (n=58). All participants completed behavioral/diagnostic assessments and MRI measures of GMV. We focused on a predefined frontolimbic circuitry in bipolar disorder versus (vs.) healthy to first identify diagnostic GMV markers and to specifically identify markers for suicide attempt history. We found reduced GMV markers for bipolar diagnosis (i.e., bipolar<healthy) in the anterior cingulate cortex (ACC), and dorsolateral prefrontal cortices (DLPFC). Our observed frontolimbic GMV abnormalities were associated with suicide attempt history and measures of individual variations in current suicidal ideation at the time of scanning. These results identified a frontolimbic-GMV marker for bipolar diagnosis and suicidal behavioral risk tendencies.HighlightsSuicide is a major health problem especially in bipolar disorder but the neurobiological basis for suicide attempts remains obscure. We identified an anterior cingulate and dorsolateral prefrontal cortical volume correlate for suicide attempt history and suicidal ideation and thereby demonstrates a convergent brain marker for suicidal behaviors.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S61-S61
Author(s):  
Siqi Xue ◽  
John Hodsoll ◽  
Ameer Bukhsh Khoso ◽  
Muhammad Omair Husain ◽  
Imran B Chaudhry ◽  
...  

AimsAmong low- and middle-income countries (LMICs), bipolar disorder is recognized as one of the leading causes of disease burden for adults and is associated with marked suicide risk. There are limited data on suicidal ideation in bipolar disorder from LMICs. This study presents cross-sectional data on the prevalence of suicidality and associated patient characteristics among patients with bipolar depression in Pakistan, a lower-middle income country and the fifth most populous country in the world.MethodParticipants were recruited through outpatient psychiatric clinics in between 2016–2019 in Karachi, Lahore, Hyderabad and Rawalpindi between 2016–2019. Participants were aged 18 to 65 years with a known diagnosis of bipolar disorder and currently in a depressive episode. Suicidality was assessed using the suicide item of the 17-item Hamilton Depression Rating Scale (HAM-D) and levels of severity were categorized as absent, mild/moderate, or severe. Biometric data and biomarkers were obtained. Descriptive statistics were used to describe prevalence and proportional odds regression models were applied to establish correlates to suicidal ideation.ResultAmong the 266 participants, 67% indicated suicidality of any level and 16% endorsed severe suicidality. Lower body mass index (BMI) (OR = 0.93, 95% CI = 0.88–0.98), higher HAM-D score (OR = 1.29, 95% CI = 1.16–1.43), lower C-reactive protein (CRP) level (OR = 0.53, 95% CI = 0.40–0.70), and increased number of inpatient hospitalizations (OR = 1.16, 95% CI = 1.03–1.31) were identified as significant predictors of suicidality in the fully adjusted regression model. No patient demographic data, including age, gender, marital status, socioeconomic status, and years of education were associated with severity of suicidality.ConclusionThere exists a high prevalence of suicidal ideation among patients with bipolar depression in Pakistan. Our findings add to the limited literature on suicidality in bipolar disorder in the LMIC context and suggest roles of biological variables such as BMI and CRP level in predicting suicidal ideation and potentially suicidal behaviours in bipolar depression. More studies are needed to see whether such findings can be replicated in other similar LMIC settings, and to explore potential physiological pathways linking BMI, inflammatory biomarkers and suicidality in bipolar disorder.


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