Ecological momentary assessment of mood and movement with bipolar disorder over time: Participant recruitment and efficacy of study methods

O’Rourke, Norm; Sixsmith, Andrew

doi:10.1002/mpr.1895

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…For the BADAS study, an international sample of young and older adults with BD was recruited using microtargeted Facebook advertising [17][18][19]. Recruitment notices were sent only to those with "BD interests" (a euphemism used by Facebook to avoid diagnostic labels).…”

Section: Recruitment and Data Collectionmentioning

confidence: 99%

Direct and Indirect Predictors of Medication Adherence With Bipolar Disorder: Path Analysis

Cohen¹,

Sixsmith²,

Star³

et al. 2023

JMIR Form Res

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Background Despite the efficacy of treatment and severity of symptoms, medication adherence by many with bipolar disorder (BD) is variable at best. This poses a significant challenge for BD care management. Objective For this study, we set out to identify psychosocial and psychiatric predictors of medication adherence with BD. Methods Using microtargeted social media advertising, we recruited an international sample of young and older adults with BD living in North America (Canada and the United States), Western Europe (eg, United Kingdom and Ireland), Australia and New Zealand (N=92). On average, participants were 55.35 (SD 9.65; range 22-73) years of age, had been diagnosed with BD 14.25 (SD 11.14; range 1-46) years ago, and were currently prescribed 2.40 (SD 1.28; range 0-6) psychotropic medications. Participants completed questionnaires online including the Morisky Medication Adherence Scale. Results Medication adherence did not significantly differ across BD subtypes, country of residence, or prescription of lithium versus other mood stabilizers (eg, anticonvulsants). Path analyses indicate that alcohol misuse and subjective or perceived cognitive failures are direct predictors of medication adherence. BD symptoms, psychological well-being, and the number of comorbid psychiatric conditions emerged as indirect predictors of medication adherence via perceived cognitive failures. Conclusions Alcohol misuse did not predict perceived cognitive failures. Nor did age predict medication adherence or cognitive failures. This is noteworthy given the 51-year age range of participants. That is, persons in their 20s with BD reported similar levels of medication adherence and perceived cognitive failures as those in their 60s. This suggests that perceived cognitive loss is a facet of adult life with BD, in contrast to the assumption that accelerated cognitive aging with BD begins in midlife.

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Section: Recruitment and Data Collectionmentioning

confidence: 99%

Direct and Indirect Predictors of Medication Adherence With Bipolar Disorder: Path Analysis

Cohen¹,

Sixsmith²,

Star³

et al. 2023

JMIR Form Res

Self Cite

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“…Most (n=89, 87.3%) of the 102 participants previously took part in the Bipolar Affective Disorders and Older Adults (BADAS) study [41]; the remainder were recruited specifically for this study. Subsamples did not differ in age (t 100 =1.64; P=.10), gender (χ 2 2 =0.2; P=.90), socioeconomic status (χ 2 6 =9.9; P=.13), or country of residence (χ 2 3 =6.0; P=.11).…”

Section: Online Recruitment and Data Collectionmentioning

confidence: 99%

“…BADAS participants who authorized future contact provided their email addresses [41,43]. They were sent up to three personalized notices requesting their participation in this study.…”

Section: Online Recruitment and Data Collectionmentioning

confidence: 99%

Social Media Use and Well-being With Bipolar Disorder During the COVID-19 Pandemic: Path Analysis

Star¹,

Bachner²,

Cohen³

et al. 2022

JMIR Form Res

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Background Reliable and consistent social support is associated with the mental health and well-being of persons with severe mental illness, including bipolar disorder (BD). Yet the COVID-19 pandemic and associated social distancing measures (eg, shelter in place) reduced access to regular social contacts, while social media use (SMU) increased concomitantly. Little is currently known about associations between the well-being of adults with BD and different types of SMU (eg, passive and active). Objective For this study, we had two goals. First, we report descriptive information regarding SMU by persons with BD during COVID-19 (all platforms). Specific to Facebook, we next developed and tested a hypothesized model to identify direct and indirect associations between BD symptoms, social support, loneliness, life satisfaction, and SMU. Responses were collected during the global spread of the Delta variant and prior/concurrent with the Omicron variant, 20 months after the World Health Organization declared COVID-19 a global pandemic. Methods Over 8 weeks, we obtained responses from an international sample of 102 adults with BD using the Qualtrics online platform. Most had previously participated in the BADAS (Bipolar Affective Disorders and older Adults) Study (n=89, 87.3%); the remainder were recruited specifically for this research (n=13, 2.7%). The subsamples did not differ in age (t100=1.64; P=.10), gender (χ22=0.2; P=.90), socioeconomic status (χ26=9.9; P=.13), or time since BD diagnosis (t97=1.27; P=.21). Both were recruited using social media advertising micro-targeted to adults with BD. On average, participants were 53.96 (SD 13.22, range 20-77) years of age, they had completed 15.4 (SD 4.28) years of education, and were diagnosed with BD 19.6 (SD 10.31) years ago. Path analyses were performed to develop and test our hypothesized model. Results Almost all participants (n=95, 93.1%) reported having both Facebook and LinkedIn accounts; 91.2% (n=93) reported regular use of either or both. During the pandemic, most (n=62, 60.8%) reported accessing social media several times a day; 36.3% (n=37) reported using social media more often since the emergence of COVID-19. Specific to Facebook, the model we hypothesized differed somewhat from what emerged. The resulting model suggests that symptoms of depression predict loneliness and, inversely, social support and life satisfaction. Social support predicts social Facebook use, whereas passive Facebook use predicts life satisfaction. Symptoms of depression emerged as indirect predictors of SMU via social support. Conclusions Our findings suggest that the operational definition of passive-active SMU requires further analysis and refinement. In contrast to theory, passive Facebook use appears positively associated with well-being among certain populations. Longitudinal data collection over multiple points is required to identify associations between BD symptoms, SMU, and well-being over time.

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“…While methods of monitoring mood are being investigated which involve the use of smart phones, actigraphs and other wearable devices (Ecological Momentary Assessment—EMA) [ 7 ], the relationship between these new technologies and mood as rated by clinician-administered rating scales is not yet clear [ 8 ]. Furthermore, EMA involves a significant time burden for patients (for example 6.5 h total, on average, over 145 days [ 9 ]) and some patients may find this intrusive.…”

Section: Introductionmentioning

confidence: 99%

Validation of the Longitudinal Interval Follow-Up Evaluation for the Long-Term Measurement of Mood Symptoms in Bipolar Disorder

et al. 2022

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The long-term burden of symptoms is an important outcome in bipolar disorder (BD). A method which has minimal burden of assessment uses a retrospective interview, the Longitudinal Interval Follow-up Examination (LIFE), although this may be subject to problems with recall. This study examines the relationship between the retrospective LIFE scale and concurrently-rated mood rating scales in two clinical trials of 18 months of psychotherapy for patients with BD. The Montgomery-Asberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) were administered every eight to nine weeks and the LIFE was carried out every 6 months. Correlations between scores on mood rating scales and at equivalent times on the LIFE were examined, as well as of potential clinical moderators. There were significant correlations between LIFE depression ratings and concurrent MADRS score (r = 0.57) and between LIFE mania ratings and YMRS score (r = 0.40). In determining “mild depression” on the MADRS, a receiver operating characteristics (ROC) analysis showed an AUC of 0.78 for LIFE scores. Correlations, particularly for depression scores, were high even when the LIFE rating was several months before the interview, suggesting that the LIFE has validity in examining the burden of mood symptoms over time, with relatively little burden of assessment. Future research should examine the relationship between symptom burden and quality of life measured in this way.

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Ecological momentary assessment of mood and movement with bipolar disorder over time: Participant recruitment and efficacy of study methods

Cited by 4 publications

References 27 publications

Direct and Indirect Predictors of Medication Adherence With Bipolar Disorder: Path Analysis

Direct and Indirect Predictors of Medication Adherence With Bipolar Disorder: Path Analysis

Social Media Use and Well-being With Bipolar Disorder During the COVID-19 Pandemic: Path Analysis

Validation of the Longitudinal Interval Follow-Up Evaluation for the Long-Term Measurement of Mood Symptoms in Bipolar Disorder

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