Perceptions on HIV-related Comorbidities and Usability of a Virtual Environment as CVD Prevention Education in Sexual Minority Men with HIV: Formative Phases of a Pilot RCT.

BACKGROUND: Sexual minority men with HIV are at increased risk of cardiovascular disease (CVD) and have been underrepresented in behavioral research and in clinical trials. OBJECTIVE: To explore perceptions about HIV-related comorbidities and assess the interest and usability of a virtual environment as CVD prevention education in Black and Latinx sexual minority men with HIV. METHODS: This is a 3-phase pilot randomized control behavioral trial. We report on formative phases 1 and 2 that informed virtual environment content and features using qualitative interviews, usability testing, and beta testing with 25 individuals. In Phase 1, 15 participants completed interviews exploring HIV-related illnesses of concern that would be used to tailor the virtual environment. In Phase 2, usability and beta testing were conducted with 10 participants to assess interest, features, and content. RESULTS: In Phase 1, we found CVD risk factors included high blood pressure, heart attack, stroke, and diabetes. Cancer (prostate, colon, and others) was a common concern and so were the development of mental health conditions. In Phase 2, all participants completed the 12-item usability checklist with favorable feedback within 30 to 60 minutes. Beta-testing interviews suggested: 1) Mixed perceptions about health and HIV, 2) High risk for comorbid conditions, 3) Virtual environment features were promising, and 4) need for diverse avatar representations. CONCLUSIONS: We identified several comorbid conditions of concern and findings carry significant implications for mitigating barriers to preventative health screenings given the shared risk factors between HIV and related comorbidities. Highly rated aspects of the virtual environment were anonymity, meeting others who identify as gay or bisexual with HIV, validating LGBTQ+ images and content, and accessibility to CVD prevention education. Critical end-user feedback from beta-testing suggested more options for avatar customization in skin, hair, body representation. Our next phase will test the virtual environment as a new approach to advancing cardiovascular health equity in ethnic and racial sexual minority men with HIV. CLINICALTRIAL: clinicaltrials.gov (NCT04061915). INTERNATIONAL REGISTERED REPORT: RR2-10.2196/38348.

Developing and testing a web-based platform for antiretroviral therapy (ART) adherence support among adolescents and young adults (AYA) living with HIV.

Objective: Describe the development and testing of a web-based platform for antiretroviral treatment (ART) adherence support among HIV+ adolescents and young adults (AYA) in a randomized controlled trial (RCT). Methods: A seven-member multi-disciplinary team operationalized the flat, password protected, web-based platform. Manualized protocols guided the objectives and content for each of the eight web-based sessions. Team members evaluated usability and content validity. Client satisfaction and perceived ease of use was evaluated with the first ten HIV+ AYA participants. Results: The web-based platform was developed, evaluated, refined, implemented and pilot tested between September 2020 to April 2022. Usability was rated as high; the evaluation of content validity showed an excellent fit between session content and objectives. HIV+ AYA participants (mean age = 24.2 years) were satisfied with the quality, type, and amount of support/education received, and found the platform easy to use, operate, and navigate. Average time spent per session was 6.5 min. Conclusion: Findings support the usability, validity, acceptability, and feasibility of this web-based platform for ART adherence support among HIV+ AYA. Innovation: Our research and findings are responsive to research gaps and the need for transparency in the methodological development and testing of web-based control arms for ART adherence support among HIV+ AYA.

Implementing a Clinical Decision Support Tool to Improve Physical Activity.

BACKGROUND: Currently, only about half of U.S. adults achieve current physical activity guidelines. Routine physical activity is not regularly assessed, nor are patients routinely counseled by their healthcare provider on achieving recommended levels. The three-question physical activity vital sign (PAVS) was developed to assess physical activity duration and intensity and identify adults not meeting physical activity guidelines. Clinical decision support provided via a best practice advisory in an electronic health record (EHR) system can be triggered as a prompt, reminding healthcare providers to implement the best practice intervention when appropriate. Remote patient monitoring of physical activity can provide objective data in the EHR. OBJECTIVES: This study aimed to evaluate the feasibility and clinical utility of embedding the PAVS and a triggered best practice advisor into the EHR in an ambulatory preventive cardiology practice setting to alert providers to patients reporting low physical activity and prompt healthcare providers to counsel these patients as needed. METHODS: Three components based in the EHR were integrated for the purpose of this study: Patients completed the PAVS through their electronic patient portal prior to an office visit, a best practice advisory was created to prompt providers to counsel patients who reported low levels of physical activity, and remote patient monitoring via Fitbit synced to the EHR provided objective physical activity data. The intervention was pilot-tested in the Epic EHR for 1 year (July 1, 2021 to June 30, 2022). Qualitative feedback on the intervention from both providers and patients was obtained at the completion of the study. RESULTS: Monthly assessments of the use of the PAVS and best practice advisory and remote patient monitoring were completed. Patients' completion of the PAVS varied from 35% to 48% per month. The best practice advisory was signed by providers between 2% and 65% and was acknowledged by 2%-22% per month. The majority (58%) of patients were able to sync a Fitbit device to their EHR for remote monitoring. DISCUSSION: Although uptake of each component needs improvement, this pilot demonstrated the feasibility of incorporating a physical activity promotion intervention into the EHR. Qualitative feedback provided guidance for future implementation.

Network Psychometrics of the 10-Item Perceived Stress Scale Among Patients With High Cardiovascular and Type 2 Diabetes Risk Using Exploratory Graph Analysis.

BACKGROUND: No studies have explored the internal structure of the 10-item Perceived Stress Scale in patients with high cardiovascular and diabetes risk. OBJECTIVE: We scrutinized the dimensionality of the scale in this patient group using exploratory graph analysis, a technique within the developing field of network psychometrics. METHODS: Analyses were conducted on 200 primary care patients. A bootstrap version of exploratory graph analysis assessed the stability of the dimensions based on structural consistency, item stability, and network loadings. RESULTS: Exploratory graph analysis revealed a 2-dimensional structure; structural consistency of the first dimension was high (0.863), whereas that for the second was low (0.667). Items belonging to the latter dimension did not cluster consistently with each other (ie, low item stability) and were not strongly associated with any particular dimension (ie, weak network loadings). CONCLUSION: Exploratory graph analysis offers unique outputs, making it easy to assess the dimensional integrity of scales. Further research is warranted regarding the second dimension of the Perceived Stress Scale.

The Impact of an Electronic Best Practice Advisory on Patients' Physical Activity and Cardiovascular Risk Profile.

BACKGROUND: Regular physical activity (PA) is a component of cardiovascular health and is associated with a lower risk of cardiovascular disease (CVD). However, only about half of US adults achieved the current PA recommendations. OBJECTIVE: The study purpose was to implement PA counseling using a clinical decision support tool in a preventive cardiology clinic and to assess changes in CVD risk factors in a sample of patients enrolled over 12 weeks of PA monitoring. METHODS: This intervention, piloted for 1 year, had 3 components embedded in the electronic health record: assessment of patients' PA, an electronic prompt for providers to counsel patients reporting low PA, and patient monitoring using a Fitbit. Cardiovascular disease risk factors included PA (self-report and Fitbit), body mass index, blood pressure, lipids, and cardiorespiratory fitness assessed with the 6-minute walk test. Depression and quality of life were also assessed. Paired t tests assessed changes in CVD risk. RESULTS: The sample who enrolled in the remote patient monitoring (n = 59) were primarily female (51%), White adults (76%) with a mean age of 61.13 ± 11.6 years. Self-reported PA significantly improved over 12 weeks (P = .005), but not Fitbit steps (P = .07). There was a significant improvement in cardiorespiratory fitness (469 ± 108 vs 494 ± 132 m, P = .0034), and 23 participants (42%) improved at least 25 m, signifying a clinically meaningful improvement. Only 4 participants were lost to follow-up over 12 weeks of monitoring. CONCLUSIONS: Patients may need more frequent reminders to be active after an initial counseling session, perhaps getting automated messages based on their step counts syncing to their electronic health record.

Complex Care Needs at the End of Life for Seriously Ill Adults With Multiple Chronic Conditions.

Understanding the complex care needs of seriously ill adults with multiple chronic conditions with and without cancer is critical for the delivery of high-quality serious illness and palliative care at the end of life. The objective of this secondary data analysis of a multisite randomized clinical trial in palliative care was to elucidate the clinical profile and complex care needs of seriously ill adults with multiple chronic conditions and to highlight key differences among those with and without cancer at the end of life. Of the 213 (74.2%) older adults who met criteria for multiple chronic conditions (eg, 2 or more chronic conditions requiring regular care with limitations of daily living), 49% had a diagnosis of cancer. Hospice enrollment was operationalized as an indicator for severity of illness and allowed for the capture of complex care needs of those deemed to be nearing the end of life. Individuals with cancer had complex symptomatology with a higher prevalence of nausea, drowsiness, and poor appetite and end of life and lower hospice enrollment. Individuals with multiple chronic conditions without cancer had lower functional status, greater number of medications, and higher hospice enrollment. The care of seriously ill older adults with multiple chronic conditions requires tailored approaches to improve outcomes and quality of care across health care settings, particularly at the end of life.

Learning in a Virtual Environment to Improve Type 2 Diabetes Outcomes: Randomized Controlled Trial.

BACKGROUND: Given the importance of self-management in type 2 diabetes mellitus (T2DM), a major aspect of health is providing diabetes self-management education and support. Known barriers include access, availability, and the lack of follow through on referral to education programs. Virtual education and support have increased in use over the last few years. OBJECTIVE: The purpose of the Diabetes Learning in a Virtual Environment (LIVE) study was to compare the effects of the LIVE intervention (educational 3D world) to a diabetes self-management education and support control website on diet and physical activity behaviors and behavioral and metabolic outcomes in adults with T2DM over 12 months. METHODS: The LIVE study was a 52-week multisite randomized controlled trial with longitudinal repeated measures. Participants were randomized to LIVE (n=102) or a control website (n=109). Both contained the same educational materials, but the virtual environment was synchronous and interactive, whereas the control was a flat website. Data were collected at baseline and 3, 6, and 12 months using surveys and clinical, laboratory, and Fitbit measures. Descriptive statistics included baseline characteristics and demographics. The effects of the intervention were initially examined by comparing the means and SDs of the outcomes across the 4 time points between study arms, followed by multilevel modeling on trajectories of the outcomes over the 12 months. RESULTS: This trial included 211 participants who consented. The mean age was 58.85 (SD 10.1) years, and a majority were White (127/211, 60.2%), non-Hispanic (198/211, 93.8%), married (107/190, 56.3%), and female (125/211, 59.2%). Mean hemoglobin A1c (HbA1c) level at baseline was 7.64% (SD 1.79%) and mean BMI was 33.51 (SD 7.25). We examined weight loss status versus randomized group, where data with no weight change were eliminated, and the LIVE group experienced significantly more weight loss than the control group (P=.04). There were no significant differences between groups in changes in physical activity and dietary outcomes (all P>.05), but each group showed an increase in physical activity. Both groups experienced a decrease in mean HbA1c level, systolic and diastolic blood pressure, cholesterol, and triglycerides over the course of 12 months of study participation, including those participants whose baseline HbA1c level was 8.6% or higher. CONCLUSIONS: This study confirmed that there were minor positive changes on glycemic targets in both groups over the 12-month study period; however, the majority of the participants began with optimal HbA1c levels. We did find clinically relevant metabolic changes in those who began with an HbA1c level >8.6% in both groups. This study provided a variety of resources to our participants in both study groups, and we conclude that a toolkit with a variety of services would be helpful to improving self-care in the future for persons with T2DM. TRIAL REGISTRATION: ClinicalTrials.gov NCT02040038; https://clinicaltrials.gov/ct2/show/NCT02040038.

Latent Class Analysis of Depressive Symptom Phenotypes Among Black/African American Mothers.

BACKGROUND: Depression is a growing global problem with significant individual and societal costs. Despite their consequences, depressive symptoms are poorly recognized and undertreated because wide variation in symptom presentation limits clinical identification-particularly among African American (AA) women-an understudied population at an increased risk of health inequity. OBJECTIVES: The aims of this study were to explore depressive symptom phenotypes among AA women and examine associations with epigenetic, cardiometabolic, and psychosocial factors. METHODS: This cross-sectional, retrospective analysis included self-reported Black/AA mothers from the Intergenerational Impact of Genetic and Psychological Factors on Blood Pressure study (data collected in 2015-2020). Clinical phenotypes were identified using latent class analysis. Bivariate logistic regression examined epigenetic age, cardiometabolic traits (i.e., body mass index ≥ 30 kg/m 2 , hypertension, or diabetes), and psychosocial variables as predictors of class membership. RESULTS: All participants were Black/AA and predominantly non-Hispanic. Over half of the sample had one or more cardiometabolic traits. Two latent classes were identified (low vs. moderate depressive symptoms). Somatic and self-critical symptoms characterized the moderate symptom class. Higher stress overload scores significantly predicted moderate-symptom class membership. DISCUSSION: In this sample of AA women with increased cardiometabolic burden, increased stress was associated with depressive symptoms that standard screening tools may not capture. Research examining the effect of specific stressors and the efficacy of tools to identify at-risk AA women are urgently needed to address disparities and mental health burdens.

Stigma and quality of life in adults with sickle cell disease in Jamaica and the United States.

Sickle cell disease (SCD) is the most common inherited blood disorder in both Jamaica and the United States and is characterized by poor quality of life and debilitating complications, with the hallmark symptom being pain caused by acute and chronic conditions. Individuals with SCD often experience stigma due to their disease status, opioid use, and race. This study sought to understand the influence of perceived stigma and demographic/clinical characteristics on quality of life in adults with SCD in Jamaica (n = 50) and the United States (n = 50). Participants completed interviewer-administered surveys including demographic/clinical characteristics; the Measure of Sickle Cell Stigma (MoSCS); and the Adult Sickle Cell Quality of Life Measurement System (ASCQ-Me). A set of general linear models for each country was built to examine the influence of explanatory variables on the quality of life outcomes. Overall, stigma scores were low for both countries, with the exception of the MoSCS disclosure concerns and expected discrimination subscales, where scores averaged medium and high, respectively. In both countries, being employed was associated with better quality of life; and reports of stigma (internalized stigma and expected discrimination) was associated with worse quality of life. These findings have several implications for healthcare providers caring for individuals with SCD, policy makers, and researchers. Specifically, findings can be used to advocate for improved access to mental health care for individuals with SCD and inform stigma reduction intervention approaches in SCD.

Multiple Chronic Conditions among Seriously Ill Adults Receiving Palliative Care.

The objective of this study was to characterize multiple chronic conditions (MCCs) among seriously ill adults receiving palliative care at the end of life. A latent class analysis was conducted to identify latent subgroups of seriously ill older adults based on a baseline Charlson comorbidity index (CCI) measurement, a measure of comorbidity burden, and mortality risk. The three latent subgroups were: (1) low to moderate CCI with MCC, (2) high CCI with MCC, and (3) high CCI and metastatic cancer. The "low to moderate CCI and MCC" subgroup included older adults with chronic obstructive pulmonary disease (COPD), cardiovascular disease, congestive heart failure, myocardial infarction, dementia, diabetes, and lymphoma. A "high CCI and MCC" subgroup included individuals with severe illness including liver or renal disease among other MCCs. A "high CCI and metastatic cancer" included all participants with metastatic cancer. This study sheds light on the MCC profile of seriously ill adults receiving palliative care.

Associations Between DNA Methylation Age Acceleration, Depressive Symptoms, and Cardiometabolic Traits in African American Mothers From the InterGEN Study.

Background: African American women (AAW) have a high risk of both cardiometabolic (CM) illness and depressive symptoms. Depressive symptoms co-occur in individuals with CM illness at higher rates than the general population, and accelerated aging may explain this. In this secondary analysis, we examined associations between age acceleration; depressive symptoms; and CM traits (hypertension, diabetes mellitus [DM], and obesity) in a cohort of AAW. Methods: Genomic and clinical data from the InterGEN cohort (n = 227) were used. Age acceleration was based on the Horvath method of DNA methylation (DNAm) age estimation. Accordingly, DNAm age acceleration (DNAm AA) was defined as the residuals from a linear regression of DNAm age on chronological age. Spearman's correlations, linear and logistic regression examined associations between DNAm AA, depressive symptoms, and CM traits. Results: DNAm AA did not associate with total depressive symptom scores. DNAm AA correlated with specific symptoms including self-disgust/self-hate (-0.13, 95% CI -0.26, -0.01); difficulty with making decisions (-0.15, 95% CI -0.28, -0.02); and worry over physical health (0.15, 95% CI 0.02, 0.28), but were not statistically significant after multiple comparison correction. DNAm AA associated with obesity (0.08, 95% CI 1.02, 1.16), hypertension (0.08, 95% CI 1.01, 1.17), and DM (0.20, 95% CI 1.09, 1.40), after adjustment for potential confounders. Conclusions: Associations between age acceleration and depressive symptoms may be highly nuanced and dependent on study design contexts. Factors other than age acceleration may explain the connection between depressive symptoms and CM traits. AAW with CM traits may be at increased risk of accelerated aging.

Quality of life and physical functioning in black and white adults with hypertrophic cardiomyopathy.

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is a common and clinically heterogeneous inherited cardiac disease. Quality of life (QOL) and physical functioning are important clinically but are underexplored in diverse populations with HCM. OBJECTIVES: To examine predictors for and compare QOL and physical functioning in Black and White adults with HCM. METHODS: We analyzed a sub-sample from a longitudinal prospective study on HCM. Eligibility criteria included self-identified Black and White adults (≥18 years) with clinical HCM. QOL was measured with the Minnesota Living with Heart Failure Questionnaire (MLWHF);physical functioning included age-adjusted exercise capacity and NYHA class. Covariates included HCM structural characteristics and common comorbidities. We analyzed data from 434 individuals, 57 (13.1%) of whom self-identified as Black/African American. RESULTS: In this sample, the Black cohort had higher MLWHF scores, 31.2 (27.2) v. 23.9 (22.1), p=0.042, signifying worse QOL, but there were no intergroup differences when QOL was dichotomized. Mean metabolic equivalents (METs) on symptom-limited stress testing were similar, though the Black cohort was younger, 54.6 (13.4) v.62.5 (14.8) years, p=0.001. No one from the Black cohort achieved an "excellent-for-age" exercise capacity, and 64.1% had a "below-average-for-age" exercise capacity vs 47% in the White cohort, though this was not statistically significant, p=0.058. There was no difference between groups in advanced NYHA class. Female gender was associated with worse QOL and physical functioning irrespective of covariates. CONCLUSIONS: This study is a starting point that underscores the need for a more comprehensive examination of well-being and physical functioning in Black populations with HCM.

Cardiovascular Disease Prevention Education Using a Virtual Environment in Sexual-Minority Men of Color With HIV: Protocol for a Sequential, Mixed Method, Waitlist Randomized Controlled Trial.

BACKGROUND: It is estimated that 70% of all deaths each year in the United States are due to chronic conditions. Cardiovascular disease (CVD), a chronic condition, is the leading cause of death in ethnic and racial minority males. It has been identified as the second most common cause of death in persons with HIV. By the year 2030, it is estimated that 78% of persons with HIV will be diagnosed with CVD. OBJECTIVE: We propose the first technology-based virtual environment intervention to address behavioral, modifiable risk factors associated with cardiovascular and metabolic comorbidities in sexual-minority men of color with HIV. METHODS: This study will be guided using social cognitive theory and the Technology Acceptance Model. A sequential, mixed method, waitlist controlled randomized control feasibility trial will be conducted. Aim 1 is to qualitatively explore perceptions of cardiovascular risk in 15 participants. Aim 2 is to conduct a waitlist controlled comparison to test if a virtual environment is feasible and acceptable for CVD prevention, based on web-based, self-assessed, behavioral, and psychosocial outcomes in 80 sexual-minority men of color with HIV. RESULTS: The study was approved by the New York University Institutional Review Board in 2019, University of Texas Health Science Center at Houston in 2020, and by the Yale University Institutional Review Board in February 2022. As of April 2022, aim 1 data collection is 87% completed. We expect to complete data collection for aim 1 by April 30, 2022. Recruitment for aim 2 will begin mid-May 2022. CONCLUSIONS: This study will be the first online virtual environment intervention for CVD prevention in sexual-minority men of color with HIV. We anticipate that the intervention will be beneficial for CVD prevention education and building peer social supports, resulting in change or modification over time in risk behaviors for CVD. TRIAL REGISTRATION: ClinicalTrials.gov NCT05242952; https://clinicaltrials.gov/ct2/show/NCT05242952. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/38348.

Health coaching and genetic risk testing in primary care: Randomized controlled trial.

OBJECTIVE: Accessible interventions are needed to prevent coronary heart disease (CHD) and Type 2 diabetes (T2D). This prospective, randomized, controlled trial evaluated remote health coaching (HC), genetic risk testing (GRT), or both added to standardized risk assessment (SRA) in at-risk military primary care patients. METHOD: Using a 2 × 2 factorial longitudinal design, 200 Air Force at-risk participants provided primary outcomes at baseline, 3-, 6- (HC endpoint), and 12-months. Secondary measures were taken less often. Per protocol analyses used linear models and logistic regression; intent-to-treat (ITT) analyses used mixed models. RESULTS: Compared with those not receiving HC, the HC group was 3.6 times more likely to report moderate to intense physical activity at 6-months (p = .0009), and 2.9 times more likely to report such at 12-months (p = .0065). ITT longitudinal model did not reach significance (p = .0885). The HC group reported lower emotional representations of illness at 6-weeks and lower depression at 6 months. There were no other significant findings. HC and GRT interacted; higher T2D risk participants receiving HC were 4.7 times more likely to report higher stage of change for exercise at 6-months, and lost 2.2 kg more by 12-months. Lower T2D risk participants receiving HC perceived greater control over CHD risk at 6-weeks, and averaged lower 6-month depression. CONCLUSIONS: Remote HC after SRA increased physical activity, which was sustained 6-months later. Incorporating GRT into SRA warrants further exploration regarding the potential to leverage HC for weight loss in elevated T2D risk participants, and for depression in lower T2D risk participants. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Latent Profile/Class Analysis Identifying Differentiated Intervention Effects.

BACKGROUND: The randomized clinical trial is generally considered the most rigorous study design for evaluating overall intervention effects. Because of patient heterogeneity, subgroup analysis is often used to identify differential intervention effects. In research of behavioral interventions, such subgroups often depend on a latent construct measured by multiple correlated observed variables. OBJECTIVES: The purpose of this article was to illustrate latent class analysis/latent profile analysis as a helpful tool to characterize latent subgroups, conduct exploratory subgroup analysis, and identify potential differential intervention effects using clinical trial data. METHODS: After reviewing different approaches for subgroup analysis, latent class analysis/latent profile analysis was chosen to identify heterogeneous patient groups based on multiple correlated variables. This approach is superior in this specific scenario because of its ability to control Type I error, assess intersection of multiple moderators, and improve interpretability. We used a case study example to illustrate the process of identifying latent classes as potential moderators based on both clinical and perceived risk scores and then tested the differential effects of health coaching in improving health behavior for patients with elevated risk of developing coronary heart disease. RESULTS: We identified three classes based on one clinical risk score and four perceived risk measures for individuals with high risk of developing coronary heart disease. Compared to other classes we assessed, individuals in the class with low clinical risk and low perceived risk benefit most from health coaching to improve their physical activity levels. DISCUSSION: Latent class analysis/latent profile analysis offers a person-centered approach to identifying distinct patient profiles that can be used as moderators for subgroup analysis. This offers tremendous opportunity to identify differential intervention effects in behavioral research.

A Network Analysis of the Association Between Depressive Symptoms and Patient Activation Among Those With Elevated Cardiovascular Risk.

Background: Network analysis provides a new method for conceptualizing interconnections among psychological and behavioral constructs. Objective: We used network analysis to investigate the complex associations between depressive symptoms and patient activation dimensions among patients at elevated risk of cardiovascular disease. Methods: This secondary analysis included 200 patients seen in primary care clinics. Depressive symptoms were assessed using the 21-item Beck Depression Inventory. Patient activation was measured using the 13-item Patient Activation Measure. Glasso networks were constructed to identify symptoms/traits that bridge depressive symptoms and patient activation and those that are central within the network. Results: "Self-dislike" and "confidence to maintain lifestyle changes during times of stress" were identified as important bridge pathways. In addition, depressive symptoms such as "punishment feelings," "loss of satisfaction," "self-dislike," and "loss of interest in people" were central in the depressive symptom-patient activation network, meaning that they were most strongly connected to all other symptoms. Conclusions: Bridge pathways identified in the network may be reasonable targets for clinical intervention aimed at disrupting the association between depressive symptoms and patient activation. Further research is warranted to assess whether targeting interventions to these central symptoms may help resolve other symptoms within the network.

Unpacking Peer Conversations in a Virtual Communitiy for Diabetes Self-Management Education and Support: Behavior Science and Linguistics Perspective.

Diabetes is a chronic disease that can be effectively managed and controlled using strategies such as self-management education and ongoing support. Virtual environments offer innovative and realistic settings where patients can achieve self-management education and obtain ongoing self-management support from peers and healthcare professionals. Transcribed real-time conversations in an innovative virtual community were analyzed using qualitative and linguistic analysis. These virtual interactions were manually coded to identify embedded behavior change techniques and linguistic features. Results showed 13 behavior change techniques were manifested. Further, language differences were observed between behavior change techniques and social support types. Our research can provide valuable insights into the design of effective digital health interventions that maximize sustained use of virtual environments, subsequently impacting self-management of chronic conditions such as diabetes.

Health Behavior Trajectories in High Cardiovascular Risk Populations: Secondary Analysis of a Clinical Trial.

BACKGROUND: The application of latent class growth analysis (LCGA) has been limited in behavioral studies on high-cardiovascular-risk populations. AIM: The current study aimed to identify distinct health behavior trajectories in high-cardiovascular-risk populations using LCGA. We also examined the baseline individual characteristics associated with different health behavior trajectories and determined which trajectory is associated with improved cardiovascular risk outcomes at 52 weeks. METHODS: This secondary analysis of a clinical trial included 200 patients admitted to primary care clinics. Latent class growth analysis was conducted to identify the trajectories of physical activity and dietary intake; these were measured at 4 different time points during a 52-week study period. Analysis of variance/χ2 test was used to assess the associations between baseline individual characteristics and trajectories, and logistic regression analysis was used to identify associations between trajectories and cardiovascular risk outcomes at 52 weeks. RESULTS: Three trajectories were identified for physical activity (low-, moderate-, and high-stable). Risk perception, patient activation, and depressive symptoms predicted the trajectories. High-stable trajectory for physical activity was associated with better cardiovascular risk outcomes at the 52-week follow-up. Two trajectories (low-stable and high-decreasing) were identified for percent energy from fat, but the factors that can predict trajectories were limited. CONCLUSIONS: Interventions are needed to target patients who begin with a lower physical activity level, with the goal of enhanced cardiovascular health. The predictors identified in the study may facilitate earlier and more tailored interventions.

Latent Class Analysis of Symptom Burden Among Seriously Ill Adults at the End of Life.

BACKGROUND: Serious illness is characterized by high symptom burden that negatively affects quality of life (QOL). Although palliative care research has highlighted symptom burden in seriously ill adults with cancer, symptom burden among those with noncancer serious illness and multiple chronic conditions has been understudied. Latent class analysis is a statistical method that can be used to better understand the relationship between severity of symptom burden and covariates, such as the presence of multiple chronic conditions. Although latent class analysis has been used to highlight subgroups of seriously ill adults with cancer based on symptom clusters, none have incorporated multiple chronic conditions. OBJECTIVES: The objectives of this study were to (a) describe the demographic and baseline characteristics of seriously ill adults at the end of life in a palliative care cohort, (b) identify latent subgroups of seriously ill individuals based on severity of symptom burden, and (c) examine variables associated with latent subgroup membership, such as QOL, functional status, and the presence of multiple chronic conditions. METHODS: A secondary data analysis of a palliative care clinical trial was conducted. The latent class analysis was based on the Edmonton Symptom Assessment System, which measures nine symptoms on a scale of 0-10 (e.g., pain, fatigue, nausea, depression, anxiousness, drowsiness, appetite, well-being, and shortness of breath). Clinically significant cut-points for symptom severity were used to categorize each symptom item in addition to a categorized total score. RESULTS: Three latent subgroups were identified (e.g., low, moderate, and high symptom burden). Lower overall QOL was associated with membership in the moderate and high symptom burden subgroups. Multiple chronic conditions were associated with statistically significant membership in the high symptom burden latent subgroup. Older adults between 65 and 74 years had a lower likelihood of moderate or high symptom burden subgroup membership compared to the low symptom burden class. DISCUSSION: Lower QOL was associated with high symptom burden. Multiple chronic conditions were associated with high symptom burden, which underlines the clinical complexity of serious illness. Palliative care at the end of life for seriously ill adults with high symptom burden must account for the presence of multiple chronic conditions.

Implementing the physical activity vital sign in an academic preventive cardiology clinic.

The aims were to implement physical activity (PA) screening as part of the electronic kiosk check-in process in an adult preventive cardiology clinic and assess factors related to patients' self-reported PA. The 3-question physical activity vital sign (PAVS) was embedded in the Epic electronic medical record and included how many days, minutes and intensity (light, moderate, vigorous) of PA patients conducted on average. This is a data analysis of PAVS data over a 60-day period. We conducted multivariable logistic regression to identify factors associated with not meeting current PA recommendations. Over 60 days, a total of 1322 patients checked into the clinic using the kiosk and 72% (n = 951) completed the PAVS at the kiosk. The majority of those patients were male (58%) and White (71%) with a mean age of 64 ± 15 years. Of the 951 patients completing the PAVS, 10% reported no PA, 55% reported some PA, and 35% reported achieving at least 150 min moderate or 75 min vigorous PA/week. In the logistic model, females (AOR = 1.4, 95%CI: 1.002-1.8, p = .049) vs. males, being Black (AOR = 2.0, 95%CI: 1.04-3.7, p = .038) or 'Other' race (AOR = 1.5, 95%CI: 1.02-2.3, p = .035) vs. White, unknown or other types of relationships (AOR = 0.0.26, 95%CI: 0.10-0.68, p = .006) vs. being married/partnered, and those who were retired (AOR = 1.9, 95% CI: 1.4-2.8, p < .001) or unemployed (AOR = 2.2, 95%CI: 1.3-3.7, p = .002) vs. full-time workers were associated with not achieving recommended levels of PA. The PAVS is a feasible electronic tool for quickly assessing PA and may prompt providers to counsel on this CVD risk factor.