Mood, activity, and sleep measured via daily smartphone-based self-monitoring in young patients with newly diagnosed bipolar disorder, their unaffected relatives and healthy control individuals

AbstractDiagnostic evaluations and early interventions of patients with bipolar disorder (BD) rely on clinical evaluations. Smartphones have been proposed to facilitate continuous and fine-grained self-monitoring of symptoms. The present study aimed to (1) validate daily smartphone-based self-monitored mood, activity, and sleep, against validated questionnaires and clinical ratings in young patients with newly diagnosed BD, unaffected relatives (UR), and healthy controls persons (HC); (2) investigate differences in daily smartphone-based self-monitored mood, activity, and sleep in young patients with newly diagnosed BD, UR, and HC; (3) investigate associations between self-monitored mood and self-monitored activity and sleep, respectively, in young patients with newly diagnosed BD. 105 young patients with newly diagnosed BD, 24 UR and 77 HC self-monitored 2 to 1077  days (median [IQR] = 65 [17.5–112.5]). There was a statistically significantly negative association between the mood item on Hamilton Depression Rating Scale (HAMD) and smartphone-based self-monitored mood (B = − 0.76, 95% CI − 0.91; − 0.63,p 
Source: European Child and Adolescent Psychiatry - Category: Psychiatry Source Type: research

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Funding Opportunity PAR-22-035 from the NIH Guide for Grants and Contracts. Reissue of RFA-MH-21-105 The purpose of this FOA is to advance translational research to better understand the emergence and worsening of mood and psychotic disorders (e.g., perimenopausal depression (PMD), generalized anxiety disorder, bipolar disorder and schizophrenia) during the menopause transition (MT) in an effort to identity targets for future development of novel treatment interventions. This funding opportunity aims to advance novel and innovative translational research to better comprehend the underlying neurobiological and behavioral m...
Source: NIH Funding Opportunities (Notices, PA, RFA) - Category: Research Source Type: funding
Funding Opportunity PAR-22-036 from the NIH Guide for Grants and Contracts. Reissue of RFA-MH-21-106 The purpose of this FOA is to advance translational research to better understand the emergence and worsening of mood and psychotic disorders (e.g., perimenopausal depression (PMD), generalized anxiety disorder, bipolar disorder and schizophrenia) during the menopause transition (MT) in an effort to identity targets for future development of novel treatment interventions. This funding opportunity aims to advance novel and innovative translational research to better comprehend the underlying neurobiological and behavioral m...
Source: NIH Funding Opportunities (Notices, PA, RFA) - Category: Research Source Type: funding
DiscussionThe study will provide a comprehensive and in-depth understanding on the effect of systemic antidepressant treatments in early stage in such group of patients. It is expected to better guide the related prevention and treatment work of BD management.Trial RegistrationThe study was registered on Clinicaltrials.gov with protocol ID (TJAH2020-18) and clinicaltrials.gov ID (NCT04564573).
Source: Brain and Behavior - Category: Neurology Authors: Tags: REGISTERED REPORT STAGE 1 Source Type: research
There is increasing evidence that bipolar disorder is influenced by circadian timing, including the timing of sleep and waking activities. Previous studies in bipolar disorder have shown that people with later...
Source: International Journal of Bipolar Disorders - Category: Psychiatry Authors: Tags: Research Source Type: research
ConclusionWe observed a parallel change of inflammatory biomarkers and severity of depression after chronotherapeutics, suggesting that a reduction in inflammation associated with depression could contribute to the mechanism of action of TSD+LT, and warranting interest for controlled studies addressing the role of inflammation in the recovery from bipolar depression.
Source: Frontiers in Physiology - Category: Physiology Source Type: research
CONCLUSION: Physical and psychiatric diagnoses are common one year prior to first diagnosis of epilepsy in administrative claims data. Compared to patients without DRE, those who develop DRE within one-year post initial diagnosis demonstrated a higher burden of disease.PMID:34425326 | DOI:10.1016/j.yebeh.2021.108243
Source: Epilepsy and Behaviour - Category: Neurology Authors: Source Type: research
CONCLUSION: This study has initially validated the PANSAM with clinical populations and highlighted its applicability to a transdiagnostic approach.PMID:34424589 | DOI:10.1002/cpp.2662
Source: Clinical Psychology and Psychotherapy - Category: Psychiatry Authors: Source Type: research
In this study, we reverse coded the six items from CSM and named them Evening Chronotype Scale (ECS). The primary aim of this study was to examine the psychometric properties, validity, and test-retest reliability of the ECS when administered on mood disorder patients. The secondary aim was to further examine the relationship between circadian preferences and symptoms of mood disorders. The study sample was of 472 mood disorder patients including major depressive disorder, bipolar disorder I, and bipolar disorder II. The 13-item full version CSM and 6-item ECS were externally validated by self-reported sleep time, wake tim...
Source: Chronobiology International - Category: Biology Authors: Source Type: research
ConclusionQoL is related to sleep differently in BD and MDD. The results suggest that insomnia and sleepiness are particularly high in BD even when patients are euthymic. These findings suggest that focusing on insomnia and sleepiness during different mood states of BD could increase QoL.
Source: Quality of Life Research - Category: Health Management Source Type: research
ConclusionsIn this study, we observed that premorbid psychiatric conditions, pre-injury health system usage, and older age were associated with increased risk of a prolonged recovery from concussion. This risk score allows clinicians to calculate an individual ’s risk of requiring treatment more than 6 months post-concussion.
Source: PLoS Medicine - Category: Internal Medicine Authors: Source Type: research
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