A 6-month, prospective, randomized controlled trial of customized adherence enhancement versus a bipolar-specific educational control in poorly adherent adolescents and young adults living with bipolar disorder.

OBJECTIVE: Few studies have addressed medication adherence in adolescents and young adults (AYAs) with bipolar disorder (BD). This 6-month prospective randomized-controlled trial (RCT) tested customized adherence enhancement for adolescents and young adults (CAE-AYA), a behavioral intervention for AYAs versus enhanced treatment as usual (ETAU). METHODS: Inclusion criteria were AYAs age 13-21 with BD type I or II with suboptimal adherence defined as missing ≥20% of medications. Assessments were conducted at Screening, Baseline, and weeks 8, 12 and 24. Primary outcome was past 7 day self-reported Tablets Routine Questionnaire (TRQ) validated by electronic pillbox monitoring (SimpleMed). Symptom measures included the Hamilton Depression Rating Scale (HAM-D) and Young Mania Rating Scale (YMRS). RESULTS: The mean sample age (N = 36) was 19.1 years (SD = 2.0); 66.7% (N = 24) female, BD Type I (81%). The mean missed medication on TRQ for the total sample was 35.4% (SD = 28.8) at screening and 30.4% (SD = 30.5) at baseline. Both CAE-AYA and ETAU improved on TRQ from screening to baseline. Baseline mean missed medication using SimpleMed was 51.6% (SD = 38.5). Baseline HAM-D and YMRS means were 7.1 (SD = 4.7) and 6.0 (SD = 7.3), respectively. Attrition rate at week 24 was 36%. Baseline to 24-week change on TRQ, adjusting for age, gender, educational level, living situation, family history, race, and ethnicity, showed improvement favoring CAE-AYA versus ETAU of 15%. SimpleMed interpretation was limited due to substantial missing data. There was a significant reduction in depression favoring CAE-AYA. CONCLUSIONS: CAE-AYA may improve adherence in AYAs with BD, although conclusions need to be made cautiously given study limitations. CLINICAL TRIALS REGISTRATION: ClinicalTrials.gov identifier: NCT04348604.

Clinical correlates of medication adherence in individuals with bipolar disorder and comorbid hypertension.

OBJECTIVE: Individuals with bipolar disorder (BD) have high rates of suboptimal medication adherence, medical illness, and premature mortality, largely from cardiovascular causes. This analysis examined the association between adherence to antihypertensive and BD medications and clinical symptoms in patients with BD and comorbid hypertension (HTN) from an ongoing trial to optimize adherence. METHOD: Inclusion criteria were a BD diagnosis, treatment with antihypertensives, adherence challenges, and poorly controlled HTN. Adherence was measured via self-report using the Tablets Routine Questionnaire and using eCAP, an electronic pillcap which captures openings. Average systolic blood pressure (SBP) was calculated from 12 readings over 1 week. The Montgomery-Asberg Depression Rating Scale (MADRS) and the Brief Psychiatric Rating Scale (BPRS) assessed BD symptoms. RESULTS: A total of 83 participants with BD and HTN were included. Adherence to BD and antihypertensive medications were positively correlated. eCAP openings showed more missed doses than self-reported antihypertensive adherence. BD medication adherence was positively correlated with BPRS at baseline; antihypertensive adherence was negatively correlated with SBP at screening. Antihypertensive adherence improved and SBP decreased between screening and baseline. CONCLUSIONS: Adherence levels fluctuated over time and differed based on measurement method in people with comorbid BD and HTN. Self-reported BD adherence was positively related to global psychiatric symptoms and antihypertensive adherence was related to better SBP control. Monitoring both medication and blood pressure led to change in self-reported adherence. BD symptom severity may indicate poor adherence in patients with BD and should be considered in treatment planning.

Clinical correlates of perceived stigma among people living with epilepsy enrolled in a self-management clinical trial.

BACKGROUND AND PURPOSE: Stigma is a pervasive barrier for people living with epilepsy (PLWE) and can have substantial negative effects. This study evaluated clinical correlates of perceived stigma in a research sample of PLWE considered to be at high risk due to frequent seizures or other negative health events. METHODS: Analyses were derived from baseline data from an ongoing Centers for Disease Control and Prevention (CDC)-funded randomized controlled trial (RCT) testing an epilepsy self-management approach. Standardized measures assessed socio-demographics, perceived epilepsy stigma, epilepsy-related self-efficacy, epilepsy self-management competency, health literacy, depressive symptom severity, functional status, social support and epilepsy-related quality of life. RESULTS: There were 160 individuals, mean age of 39.4, (Standard deviation/SD=12.2) enrolled in the RCT, 107 (66.9 %) women, with a mean age of epilepsy onset of 23.9 (SD 14.0) years. The mean seizure frequency in the prior 30 days was 6.4 (SD 21.2). Individual factors correlated with worse perceived stigma were not being married or cohabiting with someone (p = 0.016), lower social support (p < 0.0001), lower self-efficacy (p < 0.0001), and lower functional status for both physical health (p = 0.018) and mental health (p < 0.0001). Perceived stigma was associated with worse depressive symptom severity (p < 0.0001). Multivariable linear regression found significant independent associations between stigma and lower self-efficacy (ß -0.05; p = 0.0096), lower social support (ß -0.27; p = 2.4x10-5, and greater depression severity (ß 0.6; p = 5.8x10-5). CONCLUSIONS: Perceived epilepsy stigma was positively correlated with depression severity and negatively correlated with social support and self-efficacy. Providers caring for PLWE may help reduce epilepsy stigma by screening for and treating depression, encouraging supportive social relationships, and providing epilepsy self-management support. Awareness of epilepsy stigma and associated factors may help reduce some of the hidden burden borne by PLWE.

A case study in science-to-service application of epilepsy self-management.

AIMS: Epilepsy self-management (ESM), the overall approach of reducing seizures and optimizing whole-health, is a targeted approach to improve population health for people with epilepsy (PWE). "Self-management for people with epilepsy and a history of negative health events" (SMART) is an 8-session group-format, remotely delivered ESM. This report describes the evolution of SMART development, testing and scale-up, taking advantage of ESM team expertise, community relationships and infrastructure established by social service agencies that deliver support to PWE. METHODS: This is a case-study dissemination and implementation (D&I) science-to-service model using the RE-AIM framework approach (Reach, Effectiveness, Adoption, Implementation, and Maintenance) focused on 5 dimensions of individual- and setting-level outcomes important to program adoption, impact and sustainability. Performance evaluations include participation representativeness, ESM attendance and acceptability as well as change in relevant health outcomes. RESULTS: SMART D & I is implemented via a collaboration of 3 unique regional, epilepsy-focused nonprofit social service organizations and a university team that developed SMART. The ongoing collaboration is expanding SMART delivery to PWE across 13 U.S. states. Thus far, we have trained 17 Nurse and Peer Educators (NEs and PEs). PEs (N = 10) have a mean age 51.1 (SD 10.4) years and a mean age of epilepsy diagnosis of 29.4 (SD 19.3). Of 128 participants offered SMART, and who provided age data (N = 86) mean age was 37.7 years (SD 14.4). Of participants who provided data on gender and race (N = 89), 65 were women (73.9 %), 18 African-American (20.2 %). Mean age of epilepsy diagnosis was 19.4 years (SD 16.6) and 59 (52.2 %) of PWE reported having seizures in the last 30 days pre-SMART sessions. Among those with attendance data (N = 103), mean number of SMART groups attended was 5.7 (SD 2.3). Mean values for past 30-day seizure frequency, 9-item Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Inventory (GAD-7) and 10-item Quality of Life in Epilepsy Scale (QOLIE-10) for PWE that provided both pre and post SMART data were 7.6 (SD 15.8) vs 2.8 (SD 3.4) p = 0.3, 7.63 (SD 6.6) vs 6.3 (SD 5.7) p = 0.95, 6.6 (SD 5.7) vs 6.67(SD 5.3) p = 0.47 and 2.8 (SD 0.8) vs 2.7 (SD 1.0) p = 0.07 respectively. CONCLUSIONS: Implementing ESM using a RE-AIM/Iterative RE-AIM framework links intervention developers and community partners. While PWE have substantial barriers to health, including frequent seizures, they are able engage in the SMART program. Although a major limitation to patient-level evaluation is challenges in collecting post-SMART follow-up data, preliminary findings suggest a trend for improved quality of life.

Association Between Symptom Severity and Medication Adherence in Adults with Bipolar Disorder Reporting Adherence Challenges.

Background: Given the importance of medication adherence among individuals with bipolar disorder (BD), this analysis from an ongoing randomized controlled trial (RCT) examined the relationship between BD symptoms, functioning and adherence in 69 poorly adherent adults with BD. Method: Study inclusion criteria included being ≥ 18 years old with BD Type 1 or 2, difficulties with medication adherence and actively symptomatic as measured by Brief Psychiatric Rating Scale (BPRS) score ≥ 36, Young Mania Rating Scale (YMRS) > 8 or Montgomery Asberg Depression Rating Scale (MADRS) > 8. Adherence was measured in 2 ways: 1) the self-reported Tablets Routine Questionnaire (TRQ) and 2) electronic pill container monitoring (eCap pillbox). BD symptoms and functioning were measured with the MADRS, YMRS, Clinical Global Impressions Scale (CGI), and Global Assessment of Functioning (GAF). Only screening and baseline data were examined. Results: Mean age was 42.32 (SD = 12.99) years, with 72.46% (n = 50) female and 43.48% (n = 30) non-white. Mean past 7-day percentage of days with missed BD medications using TRQ was 40.63% (SD = 32.61) and 30.30% (SD = 30.41) at screening and baseline, respectively. Baseline adherence using eCap was 42.16% (SD = 35.85) in those with available eCap data (n = 41). Worse adherence based on TRQ was significantly associated with higher MADRS (p = 0.04) and CGI (p = .03) but lower GAF (p = 0.02). eCAP measured adherence was not significantly associated with clinical variables. Conclusion: While depression and functioning were approximate markers of adherence, reliance on patient self-report or BD symptom presentation may give an incomplete picture of medication-taking behaviors.

Physical comorbidities of older age bipolar disorder (OABD) patients: A global replication analysis of prevalence and sex differences.

OBJECTIVES: To compare the prevalence of physical morbidities between older aged patients with bipolar disorder (OABD) and non-psychiatric comparisons (NC), and to analyze sex differences in prevalence. METHODS: OABD was defined as bipolar disorder among adults aged ≥50 years. Outcomes analyzed were the prevalence of diseases affecting the cardiovascular, respiratory, gastrointestinal, genitourinary, renal, musculoskeletal, and endocrine systems. The analysis used cross-sectional data of OABD participants (n = 878; mean age 60.9 ± 8.0 years, n = 496 (56%) women) from the collaborative Global Aging & Geriatric Experiments in Bipolar Disorder (GAGE-BD) dataset and NC participants recruited at the same sites (n = 355; mean age 64.4 ± 9.7 years, n = 215 (61%) women). RESULTS: After controlling for sex, age, education, and smoking history, the OABD group had more cardiovascular (odds ratio [95% confidence interval]: 2.12 [1.38-3.30]), renal (5.97 [1.31-43.16]), musculoskeletal (2.09 [1.30-3.43]) and endocrine (1.90 [1.20-3.05]) diseases than NC. Women with OABD had more gastrointestinal (1.56 [0.99-2.49]), genitourinary (1.72 [1.02-2.92]), musculoskeletal (2.64 [1.66-4.37]) and endocrine (1.71 [1.08-2.73]) comorbidities than men with OABD, when age, education, smoking history, and study site were controlled. CONCLUSIONS: This replication GAGE-BD study confirms previous findings indicating that OABD present more physical morbidities than matched comparison participants, and that this health burden is significantly greater among women.

Unifying Public Health Surveillance: A Scoping Review of Global Use of the Youth Risk Behavior Survey.

PURPOSE: The Youth Risk Behavior Survey (YRBS) is a well-established surveillance tool designed to document the health risk behaviors of youth. However, there is limited insight into the use of the survey outside of the United States. The aim of this scoping review was to assess the global presence and utilization of the YRBS. METHODS: A structured electronic search of all publication years (through February 2020) was conducted to identify articles in PubMed and EBSCOhost. The search identified 128 articles that used the YRBS beyond the United States. RESULTS: More than one-third of all countries, territories, and dependencies were represented in the articles, with the greatest use among upper-middle and high-income economies and those in the East Asia and Pacific geographic region. Priority health-risk behaviors identified were alcohol and other drug use (51%), tobacco use (48%), and unintentional and intentional injuries (44%). The articles predominantly suggested that the survey data be used to influence programs, policies, and practices (57%). DISCUSSION: The development and proliferation of surveillance systems has allowed for important contributions to public health. Extensive use of the YRBS is notable; however, greater efforts are needed to support more systematic and collaborative approaches for evaluating youth behaviors around the world.

Clinical correlates of negative health events and disparities among adults with epilepsy enrolled in a self-management clinical trial.

AIMS: Despite advances in care, people with epilepsy experience negative health events (NHEs), such as seizures, emergency department (ED) visits and hospitalizations. This analysis using baseline data from an epilepsy self-management clinical trial targeting people from rural regions and other underserved populations assessed the relationship between demographic and clinical variables vs. NHEs. METHODS: Data to evaluate disparities and clinical correlates was collected using patient surveys from a baseline sample of 94 participants in a larger prospective study of 160 individuals with epilepsy who experienced an NHE within the last six months. Demographic characteristics, mental and physical functional status assessed using 36-Item Short Form Health Survey questionnaire version 2 (SF-36v2), depression assessed with the 9-item Patient Health Questionnaire (PHQ-9), quality of life assessed with the 10-item Quality of Life in Epilepsy Inventory (QOLIE-10), self-efficacy assessed the Epilepsy Self-Efficacy Scale (ESES), social support assessed with the Multidimensional Scale of Perceived Social Support (MSPSS), self-management assessed with the Epilepsy Self-Management Scale (ESMS), and stigma assessed with the Epilepsy Stigma Scale (ESS) were all examined in association with past 6-month total NHE frequency as well as NHE sub-categories of past 30-day and 6-month seizure counts, self-harm attempts, ED visits and hospitalizations. An exploratory evaluation of NHE correlates in relation to the Rural Urban Continuum Code (RUCC) residence classification compared 3 subgroups of increasing rurality. Descriptive statistics were generated for demographic and clinical variables and NHEs, and exploratory analyses compared the distribution of demographic, clinical, and NHE variables by RUCC categorization. RESULTS: The mean age was 38.5 years (SD 11.9), predominantly female (N= 62, 66.0%) and white (N=81, 86.2%). Just a little under half (N=43, 45.7%) of participants had annual incomes of less than $25,000, and 40% (N=38) were rural residents (RUCC >3). The past 6-month NHEs count was 20.4 (SD 32.0). Seizures were the most common NHE with a mean 30-day seizure frequency = 5.4 (SD 11.8) and 6-month seizure frequency of 18.7 (SD 31.6). Other NHE types were less common with a past 6-month self-harm frequency of 0.16 (SD 1.55), ED visit frequency of 0.72 (SD 1.10), and hospitalization frequency of 0.28 (SD 1.02). There were few significant demographic and clinical correlates for total and sub-categories of NHEs. Worse physical health status, as measured by the physical component summary (PCS) of the SF-36v2, was significantly associated with 6-month seizure counts (p=.04). There were no significant differences between the 3 RUCC subgroups on demographic variables. However, past 30-day seizure count, past 6-month seizure count and total past 6-month NHE counts were all higher among individuals from more rural settings (p-values <.01 for each). CONCLUSIONS: Rural adults with epilepsy were more likely to have a greater number of seizures and more epilepsy complications in general. Worse physical health function was also associated with more epilepsy complications. However, this analysis found few other demographic and clinical correlates of cumulative NHEs among adults with epilepsy. Additional efforts are needed to investigate health disparities among people with epilepsy who live in rural regions or who have poor physical health function.

Facilitators and barriers to using a DeskCycle as a sedentary behavior intervention in the work environment.

BACKGROUND: Sedentary behavior is a public health threat with extensive health burden on society. High levels of sedentary behavior have been associated with cardiovascular diseases, diabetes, obesity, and cancer. Individuals working in desk-related occupations are more likely to be sedentary for most of the day. Health researchers have responded by implementing and promoting interventions and wellness programs in work environments to reduce this behavior. This study examined the feasibility and experience of using the DeskCycle to reduce sedentary behavior among female workers in an academic office environment. METHODS: This was an intervention study where participants used the DeskCycle in two consecutive eight-week phases and uploaded DeskCycle use data daily. A questionnaire was administered after week 2 and week 8 (pre-post) of DeskCycle use in each phase to assess dimensions of feasibility, including an open-ended question for user experience. RESULTS: The participants (N = 78) had an average age of 44.4 (±11.3) years and were primarily non-Hispanic White (88.5%). DeskCycle daily use varied from Phase I: 84% to 64.9% (weeks 1-7), and 49.4% in week 8, to Phase II: 73.5% to 52.2% (week 1-7), and 40.2% in week 8. In Phase I, 96.6% (week 2) and 87% (week 8) agreed that the DeskCycle decreased sedentary behavior, and in Phase II, 74.3% (week 2) and 76.9% (week 8) agreed. The analysis of open-ended responses found challenges with the desk set up, cycling interfering with typing, and thinking critically, as barriers to DeskCycle use, while enjoying cycling and cycling improving mood were reported as facilitators. CONCLUSIONS: Using a DeskCycle in an academic office environment to reduce sedentary behavior is feasible in female office workers. Consideration should be given to the type of tasks performed while cycling.

Bipolar symptoms, somatic burden and functioning in older-age bipolar disorder: A replication study from the global aging & geriatric experiments in bipolar disorder database (GAGE-BD) project.

OBJECTIVES: The Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD) project pools archival datasets on older age bipolar disorder (OABD). An initial Wave 1 (W1; n = 1369) analysis found both manic and depressive symptoms reduced among older patients. To replicate this finding, we gathered an independent Wave 2 (W2; n = 1232, mean ± standard deviation age 47.2 ± 13.5, 65% women, 49% aged over 50) dataset. DESIGN/METHODS: Using mixed models with random effects for cohort, we examined associations between BD symptoms, somatic burden and age and the contribution of these to functioning in W2 and the combined W1 + W2 sample (n = 2601). RESULTS: Compared to W1, the W2 sample was younger (p < 0.001), less educated (p < 0.001), more symptomatic (p < 0.001), lower functioning (p < 0.001) and had fewer somatic conditions (p < 0.001). In the full W2, older individuals had reduced manic symptom severity, but age was not associated with depression severity. Age was not associated with functioning in W2. More severe BD symptoms (mania p ≤ 0.001, depression p ≤ 0.001) were associated with worse functioning. Older age was significantly associated with higher somatic burden in the W2 and the W1 + W2 samples, but this burden was not associated with poorer functioning. CONCLUSIONS: In a large, independent sample, older age was associated with less severe mania and more somatic burden (consistent with previous findings), but there was no association of depression with age (different from previous findings). Similar to previous findings, worse BD symptom severity was associated with worse functioning, emphasizing the need for symptom relief in OABD to promote better functioning.

Cognition in older age bipolar disorder: An analysis of archival data across the globe.

BACKGROUND: Cognitive deficits in bipolar disorder (BD) impact functioning and are main contributors to disability in older age BD (OABD). We investigated the difference between OABD and age-comparable healthy comparison (HC) participants and, among those with BD, the associations between age, global cognitive performance, symptom severity and functioning using a large, cross-sectional, archival dataset harmonized from 7 international OABD studies. METHODS: Data from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) database, spanning various standardized measures of cognition, functioning and clinical characteristics, were analyzed. The sample included 662 euthymic to mildly symptomatic participants aged minimum 50years (509 BD, 153 HC), able to undergo extensive cognitive testing. Linear mixed models estimated associations between diagnosis and global cognitive performance (g-score, harmonized across studies), and within OABD between g-score and severity of mania and depressive symptoms, duration of illness and lithium use and of global functioning. RESULTS: After adjustment for study cohort, age, gender and employment status, there was no significant difference in g-score between OABD and HC, while a significant interaction emerged between employment status and diagnostic group (better global cognition associated with working) in BD. Within OABD, better g-scores were associated with fewer manic symptoms, higher education and better functioning. LIMITATIONS: Cross-sectional design and loss of granularity due to harmonization. CONCLUSION: More research is needed to understand heterogenous longitudinal patterns of cognitive change in BD and understand whether particular cognitive domains might be affected in OABD in order to develop new therapeutic efforts for cognitive dysfunction OABD.

Sociodemographic and clinical characteristics of people with oldest older age bipolar disorder in a global sample: Results from the global aging and geriatric experiments in bipolar disorder project.

OBJECTS: Studies of older age bipolar disorder (OABD) have mostly focused on "younger old" individuals. Little is known about the oldest OABD (OOABD) individuals aged ≥70 years old. The Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) project provides an opportunity to evaluate the OOABD group to understand their characteristics compared to younger groups. METHODS: We conducted cross-sectional analyses of the GAGE-BD database, an integrated, harmonized dataset from 19 international studies. We compared the sociodemographic and clinical characteristics of those aged <50 (YABD, n = 184), 50-69 (OABD, n = 881), and ≥70 (OOABD, n = 304). To standardize the comparisons between age categories and all characteristics, we used multinomial logistic regression models with age category as the dependent variable, with each characteristic as the independent variable, and clustering of standard errors to account for the correlation between observations from each of the studies. RESULTS: OOABD and OABD had lower severity of manic symptoms (Mean YMRS = 3.3, 3.8 respectively) than YABD (YMRS = 7.6), and lower depressive symptoms (% of absent = 65.4%, and 59.5% respectively) than YABD (18.3%). OOABD and OABD had higher physical burden than YABD, especially in the cardiovascular domain (prevalence = 65% in OOABD, 41% in OABD and 17% in YABD); OOABD had the highest prevalence (56%) in the musculoskeletal domain (significantly differed from 39% in OABD and 31% in YABD which didn't differ from each other). Overall, OOABD had significant cumulative physical burden in numbers of domains (mean = 4) compared to both OABD (mean = 2) and YABD (mean = 1). OOABD had the lowest rates of suicidal thoughts (10%), which significantly differed from YABD (26%) though didn't differ from OABD (21%). Functional status was higher in both OOABD (GAF = 63) and OABD (GAF = 64), though only OABD had significantly higher function than YABD (GAF = 59). CONCLUSIONS: OOABD have unique features, suggesting that (1) OOABD individuals may be easier to manage psychiatrically, but require more attention to comorbid physical conditions; (2) OOABD is a survivor cohort associated with resilience despite high medical burden, warranting both qualitative and quantitative methods to better understand how to advance clinical care and ways to age successfully with BD.

Sex Differences Among Older Adults With Bipolar Disorder: Results From the Global Aging & Geriatric Experiments in Bipolar Disorder (GAGE-BD) Project.

OBJECTIVE: Sex-specific research in adult bipolar disorder (BD) is sparse and even more so among those with older age bipolar disorder (OABD). Knowledge about sex differences across the bipolar lifespan is urgently needed to target and improve treatment. To address this gap, the current study examined sex differences in the domains of clinical presentation, general functioning, and mood symptoms among individuals with OABD. METHODS: This Global Aging & Geriatric Experiments in Bipolar Disorder (GAGE-BD) study used data from 19 international studies including BD patients aged ≥50 years (N = 1,185: 645 women, 540 men).A comparison of mood symptoms between women and men was conducted initially using two-tailed t tests and then accounting for systematic differences between the contributing cohorts by performing generalized linear mixed models (GLMMs). Associations between sex and other clinical characteristics were examined using GLMM including: age, BD subtype, rapid cycling, psychiatric hospitalization, lifetime psychiatric comorbidity, and physical health comorbidity, with study cohort as a random intercept. RESULTS: Regarding depressive mood symptoms, women had higher scores on anxiety and hypochondriasis items. Female sex was associated with more psychiatric hospitalizations and male sex with lifetime substance abuse disorders. CONCLUSION: Our findings show important clinical sex differences and provide support that older age women experience a more severe course of BD, with higher rates of psychiatric hospitalization. The reasons for this may be biological, psychological, or social. These differences as well as underlying mechanisms should be a focus for healthcare professionals and need to be studied further.

Demographic and clinical associations to employment status in older-age bipolar disorder: Analysis from the GAGE-BD database project.

OBJECTIVE: The current literature on employment in older adults with bipolar disorder (OABD) is limited. Using the Global Aging and Geriatric Experiments in Bipolar Disorder Database (GAGE-BD), we examined the relationship of occupational status in OABD to other demographic and clinical characteristics. METHODS: Seven hundred and thirty-eight participants from 11 international samples with data on educational level and occupational status were included. Employment status was dichotomized as employed versus unemployed. Generalized linear mixed models with random intercepts for the study cohort were used to examine the relationship between baseline characteristics and employment. Predictors in the models included baseline demographics, education, psychiatric symptom severity, psychiatric comorbidity, somatic comorbidity, and prior psychiatric hospitalizations. RESULTS: In the sample, 23.6% (n = 174) were employed, while 76.4% were unemployed (n = 564). In multivariable logistic regression models, less education, older age, a history of both anxiety and substance/alcohol use disorders, more prior psychiatric hospitalizations, and higher levels of BD depression severity were associated with greater odds of unemployment. In the subsample of individuals less than 65 years of age, findings were similar. No significant association between manic symptoms, gender, age of onset, or employment status was observed. CONCLUSION: Results suggest an association between educational level, age, psychiatric severity and comorbidity in relation to employment in OABD. Implications include the need for management of psychiatric symptoms and comorbidity across the lifespan, as well as improving educational access for people with BD and skills training or other support for those with work-life breaks to re-enter employment and optimize the overall outcome.

The Effectiveness of the DeskCycle in Reducing Sedentary Behavior Among Female Office Workers.

OBJECTIVE: To evaluate the effectiveness of the DeskCycle in reducing sedentary behavior among female office workers at an educational institution. METHODS: This was a randomized control trial with a crossover design (N = 80). The intervention was conducted in two 8-week phases and included the DeskCycle and an informational handout with benefits and suggestions about the frequency of use. The primary outcome was weekly average nonsedentary time. Secondary outcomes included weight and mood. RESULTS: DeskCycle users reported significantly higher weekly average nonsedentary time compared with nonusers (phase I: 402.3 ± 72.4 vs 169.3 ± 17.5, P < 0.00; phase II: 282 ± 45 vs 216 ± 23, P = 0.00). There were no significant differences in weight or mood. CONCLUSIONS: The DeskCycle is effective in reducing sedentary behavior, suggesting workers in sedentary office occupations could integrate it into their workday, where possible, to prevent negative health outcomes.

Bipolar I and bipolar II subtypes in older age: Results from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) project.

OBJECTIVES: The distinction between bipolar I disorder (BD-I) and bipolar II disorder (BD-II) has been a topic of long-lasting debate. This study examined differences between BD-I and BD-II in a large, global sample of OABD, focusing on general functioning, cognition and somatic burden as these domains are often affected in OABD. METHODS: Cross-sectional analyses were conducted with data from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) database. The sample included 963 participants aged ≥50 years (714 BD-I, 249 BD-II). Sociodemographic and clinical factors were compared between BD subtypes including adjustment for study cohort. Multivariable analyses were conducted with generalized linear mixed models (GLMMs) and estimated associations between BD subtype and (1) general functioning (GAF), (2) cognitive performance (g-score) and (3) somatic burden, with study cohort as random intercept. RESULTS: After adjustment for study cohort, BD-II patients more often had a late onset ≥50 years (p = 0.008) and more current severe depression (p = 0.041). BD-I patients were more likely to have a history of psychiatric hospitalization (p < 0.001) and current use of anti-psychotics (p = 0.003). Multivariable analyses showed that BD subtype was not related to GAF, cognitive g-score or somatic burden. CONCLUSION: BD-I and BD-II patients did not differ in terms of general functioning, cognitive impairment or somatic burden. Some clinical differences were observed between the groups, which could be the consequence of diagnostic definitions. The distinction between BD-I and BD-II is not the best way to subtype OABD patients. Future research should investigate other disease specifiers in this population.

Clinical correlates of late-onset versus early-onset bipolar disorder in a global sample of older adults.

OBJECTIVES: Late-onset bipolar disorder (LOBD) represents a significant subgroup of bipolar disorder (BD). However, knowledge for this group is mostly extrapolated from small studies in subjects with early/mixed age of illness onset. In this global sample of older adults with BD (OABD: ≥50 years old) we aim to characterize the sociodemographic and clinical presentation of LOBD (≥40 years at BD onset) compared to early-onset BD (EOBD: <40 years at BD onset). METHODS: The Global Aging and Geriatric Experiments in Bipolar Disorder consortium provided international data on 437 older age bipolar disorder participants. We compared LOBD versus EOBD on depression, mania, functionality, and physical comorbidities. Exploratory analyses were performed on participants with BD onset ≥50 years old. RESULTS: LOBD (n = 105) did not differ from EOBD (n = 332) on depression, mania, global functioning, nor employment status (p > 0.05). Late-onset bipolar disorder was associated with higher endocrine comorbidities (odds ratio = 1.48, [95%CI = 1.0,12.1], p = 0.03). This difference did not remain significant when subjects with BD onset ≥50 years old were analyzed. LIMITATIONS: This study is limited by the retrospective nature of the variable age of onset and the differences in evaluation methods across studies (partially overcame by harmonization processes). CONCLUSION: The present analysis is in favor of the hypothesis that LOBD might represent a similar clinical phenotype as classic EOBD with respect to core BD symptomatology, functionality, and comorbid physical conditions. Large-scale global collaboration to improve our understanding of BD across the lifespan is needed.

Premature discontinuation among individuals with epilepsy participating in epilepsy self-management research interventions.

OBJECTIVE: The Managing Epilepsy Well (MEW) Network conducts epilepsy self-management (ESM) intervention development, testing, and archival clinical trials data analyses in the MEW Network Integrated Database (MEW-DB). However, not all trial participants fully benefit from ESM due to prematurely discontinuing program participation. This analysis sought to identify demographic and clinical predictors of premature discontinuation (PD) of ESM interventions available in the MEW-DB. METHODS: Data from prior studies were included if: 1) they were prospective trials testing an ESM intervention, 2) included baseline assessment and at least one post-intervention assessment, and 3) included data on PD. Dependent variables were all-cause PD, categorized as a binary variable (yes/no) and time to PD for the intervals between baseline and follow-up visit 1 (V1; approximately week 12) and visit two (V2; approximately week 24). Multivariable Cox proportional hazard models were used to identify factors affecting PD time-point. Explanatory variables included age, gender, race/ethnicity, education, employment, income, marital status, psychiatric comorbidities, depressive severity, anxiety symptoms, self-efficacy, number of anti-seizure medications (ASMs), health status, seizure frequency, and study design. RESULTS: Six prior MEW-DB studies were included, consisting of 627 people, where 624 were assigned to ESM or to control. PD among randomized individuals was 14.3 % by V1 and 15.7 % by V2. Predictors for V1 PD were treatment (ESM) vs. control arm, more severe depressive symptoms and having schizophrenia. Predictors for V2 PD were younger age, white race, more severe depressive symptoms and having schizophrenia. SIGNIFICANCE: While ESM approaches can improve multiple health outcomes among people with epilepsy, nearly one in six individuals prematurely discontinues their program. These findings suggest that ESM interventionists need to be particularly attentive to program retention over the first 3 months after ESM initiation. Younger people with epilepsy, those who self-identify as white, those with schizophrenia, and/or more severe depressive symptoms may need additional support for engagement.

Demographic and clinical characteristics of lithium-treated older adults with bipolar disorder.

OBJECTIVES: There is limited information on the characteristics of older adults with bipolar disorder (OABD) treated with lithium, along with safety concerns about its use by older adults. The aim of the present study is to describe the demographic and clinical characteristics of OABD receiving lithium therapy, using data from the Global Ageing & Geriatric Experiments in Bipolar Disorder (GAGE-BD). EXPERIMENTAL PROCEDURES: Cross-sectional analysis of the GAGE-BD dataset to determine differences and similarities between lithium users and non-users. We analysed data from 986 participants aged 50 years or older (mean age 63.5 years; 57.5% females) from 12 study sites. Two subgroups ('Lithium'; 'Non-lithium') were defined according to the current prescription of lithium. We compared several outcomes between these groups, controlling for age, gender, and study site. RESULTS: OABD treated with lithium had lower scores on depression rating scales and were less likely to be categorised as with moderate or severe depression. There was a lower proportion of lithium users than non-users among those with evidence of rapid cycling and non-bipolar psychiatric diagnoses. Assessment of global cognitive state and functionality indicated better performance among lithium users. The current use of antipsychotics was less frequent among lithium users, who also reported fewer cardiovascular comorbidities than non-users. CONCLUSION: We found several potentially relevant differences in the clinical profile of OABD treated with lithium compared with those treated with other mood stabilisers. However, the interpretation of the present results must take into account the methodological limitations inherent to the cross-sectional approach and data harmonisation.

Comparing continuous and harmonized measures of depression severity in older adults with bipolar disorder: Relationship to functioning.

OBJECTIVE: Harmonizing different depression severity scales often requires creation of categorical variables that may decrease the sensitivity of the measure. Our aim was to compare the associations between categorical and continuous and harmonized measures of depression and global functioning in a large dataset of older age patients with bipolar disorder (OABD). METHOD: In the Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD) the 17-item Hamilton Depression scale (HAM-D), Montgomery Asberg Depression Rating Scale (MADRS) or the Center for Epidemiological Studies Depression scales (CES-D) was used to assess current depressive symptoms, while the Global Assessment of Functioning (GAF) assessed functional status. Data were harmonized from 8 OABD studies (n = 582). In each subsample, the relationship of depression severity as a continuous and categorical measure was compared to GAF. In the total sample, harmonized ordinal depression categories were compared to GAF. RESULTS: Effect size and variance explained by the model for the categorical measure in the total sample was higher than both the categorical and continuous measure in the CES-D subsample, higher than the categorical but lower than the continuous measure in the HAM-D subsample, and lower than both the categorical and continuous measures in the MADRS subsample. LIMITATIONS: All included studies have different inclusion and exclusion criteria, study designs, and differ in aspects of sociodemographic variables. CONCLUSIONS: Associations were only slightly larger for the continuous vs categorical measures of depression scales. Harmonizing different depression scales into ordinal categories for analyses is feasible without losing statistical power.