Cohort Profile: The Heinz C. Prechter Longitudinal Study of Bipolar Disorder

McInnis, Melvin G.; Assari, Shervin; Kamali, Masoud; Ryan, Kelly A.; Langenecker, Scott A.; Saunders, Erika F.H.; Versha, Kritika; Evans, Simon J.; O’Shea, K. Sue; Provost, Emily Mower; Marshall, David F.; Forger, Daniel B.; Deldin, Patricia J.; Zoellner, Sebastian

doi:10.1093/ije/dyx229

Cited by 67 publications

(63 citation statements)

References 94 publications

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“…A total of 50 individuals with BP were recruited from the Prechter Longitudinal Study of Bipolar Disorder to participate in a 6‐week two‐arm randomized control trial. In the Prechter Longitudinal Study of Bipolar Disorder, participants are diagnosed using the Diagnostic Interview for Genetic Studies (DIGS) with diagnoses reviewed by two clinicians after initial evaluation and reevaluated when suspected to change based on a clinically relevant event.…”

Section: Methodsmentioning

confidence: 99%

“…In addition to logging symptoms, the app also allowed participants to review and visualize information collected from their answers and from the Fitbit. This information was presented to participants in five graphs: (i) a line graph for tracking depressive symptoms over time, (ii) a line graph tracking manic symptoms over time, (iii) a combined line graph and bar graph for tracking sleep over time, (iv) a combined line and bar graph for tracking resting heartrate and total daily step count over time, and (v) a combined line and bar graph for tracking sleep periods and estimated circadian phase.” See the protocol paper for details on app development . At study start and end, participants were assessed over the phone with a Young Mania Rating Scale (YMRS) depressive symptoms were assessed with a Structured Interview Guide for the Hamilton Rating Scale of Depression (SIGHD); and general health is assessed using the 36‐Item Short Form Health Survey (SF‐36) developed by RAND .…”

Section: Methodsmentioning

confidence: 99%

“…See the protocol paper for details on app development. 25 At study start and end, participants were assessed over the phone with a Young Mania Rating Scale (YMRS) 27 depressive symptoms were assessed with a Structured Interview Guide for the Hamilton Rating Scale of Depression (SIGHD) 28 ; and general health is assessed using the 36-Item Short Form Health Survey (SF-36) developed by RAND. 29 At study end, the interviewer also conducted a 17item survey to assess engagement.…”

Section: Methodsmentioning

confidence: 99%

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A comparative study of engagement in mobile and wearable health monitoring for bipolar disorder

2019

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Objectives Self‐monitoring is recommended for individuals with bipolar disorder, with numerous technological solutions available. This study aimed to identify basic components of these solutions that increase engagement with self‐monitoring. Methods Participants with bipolar disorder (n = 47) monitored their symptoms with a Fitbit and a smartphone app and were randomly assigned to either review or not review recorded symptoms weekly. We tested whether individuals would better adhere to and prefer monitoring with passive monitoring with an activity tracker compared to active monitoring with a smartphone app and whether individuals would better adhere to self‐monitoring if their recorded symptoms were reviewed with an interviewer. Results Monitoring with a smartphone app achieved similar adherence and preference to Fitbit (P > .85). Linear mixed effects modeling found adherence decreased significantly more over the study for the Fitbit (12% more, P < .001) even though more participants reported they would use the Fitbit over a year compared to the app (72.3% vs 46.8%). Reviewing symptoms weekly did not improve adherence, but most participants reported they would prefer to review symptoms with a clinician (74.5%) and on monthly basis (57.5%) compared to alternatives. Participants endorsed sleep as the most important symptom to monitor, forgetfulness as the largest barrier to self‐monitoring, and raising self‐awareness as the best reason for self‐monitoring. Conclusions We recommend a combined strategy of wearable and mobile monitoring that includes reminders, targets raising self‐awareness, and tracks sleep. A clinician may want to review symptoms on a monthly basis. Trial registration: http://ClinicalTrials.gov NCT03358238.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A comparative study of engagement in mobile and wearable health monitoring for bipolar disorder

2019

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“…This study utilizes a subset ( N = 650) of the Prechter Longitudinal Study of Bipolar Disorder at the University of Michigan (McInnis et al., ) who were enrolled between October of 2004 and December of 2010. The study was approved by the Institutional Review Board of the University of Michigan Medical School (IRBMED).…”

Section: Methodsmentioning

confidence: 99%

Mood, Dimensional Personality, and Suicidality in a Longitudinal Sample of Patients with Bipolar Disorder and Controls

Kamali

Saunders

Assari

et al. 2018

Suicide & Life Threat Behav

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Objective To evaluate the effects of mood and anxiety symptoms in relation to personality dimensions and clinical features such as trauma and substance use on suicidal behaviors in a longitudinal sample of individuals with bipolar illness (BP) and healthy controls (HC). Methods Mood, personality, and clinical features were assessed in 151 individuals with BP I and 119 HC. Clinical data were collected at baseline and at 2‐year follow‐up. Personality traits were measured using the NEO PI‐R. Results In bivariate analyses, personality measures were significantly different between BP and HC, and between BP based on suicide attempt history. However, in regression analyses, baseline measures of depression, mania, anxiety, trauma, education, and age of BP onset correlated with personality domains, while a history of suicide attempts did not. Logistic regressions showed that prospective depression or mania, and a pattern of mixed mood features and chronicity of illness, along with two Neuroticism facet scores (N4—Self‐Consciousness and N6—Vulnerability) were predictive of suicide ideation (SI) in the 2‐year follow‐up period. Conclusions While dimensions of personality, trauma, and substance use clearly correlated with suicidal behaviors in BP, in multivariate models emerging mood symptoms were the most robust predictors of suicidality. These results reinforce the importance and attributable role of mood and anxiety symptoms in evaluating suicidal risk.

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“…Fifty individuals with BP will be recruited from the Prechter Longitudinal Study of Bipolar Disorder [26] to participate in a six-week two-arm randomized control trial. This six-week study has been approved by Institutional Review Boards at the University of Michigan (HUM126732) and University of Wisconsin (2017Wisconsin ( -1322.…”

Section: Recruitmentmentioning

confidence: 99%

Engagement Strategies for Self-Monitoring Symptoms of Bipolar Disorder With Mobile and Wearable Technology: Protocol for a Randomized Controlled Trial (Preprint)

Cochran¹,

Belman-Wells²,

McInnis³

2018

Preprint

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Cohort Profile: The Heinz C. Prechter Longitudinal Study of Bipolar Disorder

Cited by 67 publications

References 94 publications

A comparative study of engagement in mobile and wearable health monitoring for bipolar disorder

A comparative study of engagement in mobile and wearable health monitoring for bipolar disorder

Mood, Dimensional Personality, and Suicidality in a Longitudinal Sample of Patients with Bipolar Disorder and Controls

Engagement Strategies for Self-Monitoring Symptoms of Bipolar Disorder With Mobile and Wearable Technology: Protocol for a Randomized Controlled Trial (Preprint)

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