The Utility and Limitations of Remotely Delivered Feedback Messages Regarding Physical Activity in a 12-Month Weight Loss Intervention: Insights From the SMARTER Trial Focus Groups.

BACKGROUND: The increasing prevalence of obesity necessitates innovative interventions to address this grave public health concern. Standard behavioral therapy has been the mainstay for promoting weight loss, but its access and uptake are limited. The SMARTER randomized controlled trial aimed to explore the effects of self-monitoring with real-time, remotely delivered tailored feedback to recorded physical activity (PA) on weight loss. OBJECTIVE: This qualitative study examined the perceived utility and limitations of key intervention components in promoting PA and weight loss in the SMARTER trial. METHODS: Twenty-three participants who received feedback engaged in Zoom-based focus groups, providing insights into their interactions with the SMARTER app, Fitbit Charge 2 tracker, Aria II scale, and daily weighing. Participants' perspectives on feedback messages, personalized app experiences, and the impact of daily weighing on mental health emerged, providing nuanced insights into the multifaceted nature of success. RESULTS: Themes from the focus group emphasized the importance of tailoring feedback to individual preferences related to message timing, content, and engagement. The challenges that made the participants stop using the program as instructed included disappointment with not losing weight after several weeks of engagement, inability to open feedback messages within the 60-minute window, and environmental situations that prevented them from acting on the feedback received. CONCLUSION: These findings contribute to ongoing efforts geared toward refining interventions targeting PA and weight loss among individuals with obesity and provide important insights for future studies seeking to optimize the design and delivery of remotely delivered feedback messages.

Assessing Patient Readiness for Hospital Discharge, Discharge Communication, and Transitional Care Management.

BACKGROUND: Discharge communication between hospitalists and primary care clinicians is essential to improve care coordination, minimize adverse events, and decrease unplanned health services use. Health-related social needs are key drivers of health, and hospitalists and primary care clinicians value communicating social needs at discharge. OBJECTIVE: To 1) characterize the current state of discharge communications between an academic medical center hospital and primary care clinicians at associated clinics; 2) seek feedback about the potential usefulness of discharge readiness information to primary care clinicians. DESIGN: Exploratory, convergent mixed methods. PARTICIPANTS: Primary care clinicians from Family Medicine and General Internal Medicine of an academic medical center in the US Intermountain West. APPROACH: Literature-informed REDCap survey. Semistructured interview guide developed with key informants, grounded in current literature. Survey data were descriptively summarized; interview data were deductively and inductively coded, organized by topics. RESULTS: Two key topics emerged: 1) discharge communication, with interrelated topics of transitional care management and follow-up appointment challenges, and recommendations for improving discharge communication; and 2) usefulness of the discharge readiness information, included interrelated topics related to lack of shared understanding about roles and responsibilities across settings and ethical concerns related to identifying problems that may not have solutions. CONCLUSIONS: While reiterating perennial discharge communication and transitional care management challenges, this study reveals new evidence about how these issues are interrelated with assessing and responding to patients' lack of readiness for discharge and unmet social needs during care transitions. Primary care clinicians had mixed views on the usefulness of discharge readiness information. We offer recommendations for improving discharge communication and transitional care management (TCM) processes, which may be applicable in other care settings.

Scalable and successful patient portal lifestyle coaching training for primary care clinical staff.

Maintaining a healthy weight postintentional weight loss is crucial for preventing chronic health conditions, yet many regain weight postintervention. Electronic health record (EHR) portals offer a promising avenue for weight management interventions, leveraging patient-primary care relationships. Our previous research demonstrated that coaching alongside self-monitoring improves weight maintenance compared to monitoring alone. Integrating weight management into routine clinical practice by training existing staff could enhance scalability and sustainability. However, challenges such as inconsistent staff qualifications and high coach turnover rates could affect intervention effectiveness. Standardizing services, training, and coaching continuity seem crucial for success. To report on developing, testing, and evaluating an EHR-based coaching training program for clinical staff, guided by an implementation tool for the MAINTAIN PRIME study. Conducted across 14 University of Utah primary care sites, we developed, tested, and evaluated a coaching training for clinical staff. Guided by a planning model and the Predisposing, Enabling, and Reinforcing (PER) tool, stakeholders actively participated in planning, ensuring alignment with clinic priorities. All clinical staff were invited to participate voluntarily. Evaluation measures included staff interest, training effectiveness, confidence, and readiness. Data collection utilized REDCap, with survey results analyzed using descriptive statistics. Despite increased clinical workload and reassignments posed by coronavirus disease 2019, we were able to train 39 clinical staff, with 34 successfully coaching patients. Feedback indicated high readiness and positive perceptions of coaching feasibility. Coaches reported satisfaction with training, support, and enjoyed establishing connections with patients. The PER strategies allowed us to implement a well-received training program found effective by primary care coaches.

This report describes a training program for medical staff like nurses and medical assistants. The goal is to teach them how to coach patients through an online portal to help them keep their weight off after making healthy lifestyle changes. We worked with different clinic groups and used a planning tool called PER worksheet (predisposing, enabling, and reinforcing) to set up the training program. From September 2021 to March 2023, we offered the training in 14 clinics, and most interested staff completed it. The results showed that the training worked well. People who took part felt they learned enough to coach patients and felt ready to coach. They liked the training and found it helpful. This study suggests that we can teach coaching skills in just four hours of training and that ongoing support and mentorship are important to the trained coaches. Furthermore, this training set-up allows new staff to be trained as they join, which is especially important in places where staff changes frequently. Overall, using the PER tool enabled us to create a training program that staff can use in outpatient clinics to help patients improve their weight management.

Effects of Sedentary Behavior Reduction on Blood Pressure in Desk Workers: Results From the RESET-BP Randomized Clinical Trial.

BACKGROUND: Sedentary behavior (SB) is observationally associated with cardiovascular disease risk. However, randomized clinical trials testing causation are limited. We hypothesized that reducing SB would decrease blood pressure (BP) and pulse wave velocity (PWV) in sedentary adults. METHODS: This parallel-arm, 3-month randomized clinical trial recruited desk workers, age 18 to 65 years, with systolic BP 120 to 159 or diastolic BP (DBP) 80 to 99 mm Hg, off antihypertensive medications, and reporting <150 min/wk of moderate to vigorous intensity physical activity. Participants were randomized to a SB reduction intervention or a no-contact control group. The intervention sought to replace 2 to 4 h/d of SB with standing and stepping through coaching, a wrist-worn activity prompter, and a sit-stand desk. SB and physical activity were measured with a thigh-worn accelerometer and quantified during all waking hours and separately during work and nonwork times. Clinic-based resting systolic BP (primary outcome) and DBP, 24-hour ambulatory BP, and PWV were assessed by blinded technicians at baseline and 3 months. RESULTS: Participants (n=271) had a mean age of 45 years and systolic BP/DBP 129/83 mm Hg. Compared with controls, intervention participants reduced SB (-1.15±0.17 h/d), increased standing (0.94±0.14 h/d), and increased stepping (5.4±2.4 min/d; all P<0.05). SB and activity changes mainly occurred during work time and were below the goal. The intervention did not reduce BP or PWV in the intervention group compared with controls. Between-group differences in resting systolic BP and DBP changes were -0.22±0.90 (P=0.808) and 0.13±0.61 mm Hg (P=0.827), respectively. The findings were similarly null for ambulatory BP and PWV. Decreases in work-time SB were associated with favorable reductions in resting DBP (r=0.15, P=0.017). Contrary to our hypotheses, reductions in work-time SB (r=-0.19, P=0.006) and increases in work-time standing (r=0.17, P=0.011) were associated with unfavorable increases in carotid-femoral PWV. As expected, increases in nonwork-time standing were favorably associated with carotid-femoral PWV (r=-0.14, P=0.038). CONCLUSIONS: A 3-month intervention that decreased SB and increased standing by ≈1 hour during the work day was not effective for reducing BP. Future directions include examining effects of interventions reducing SB through activity other than work-time standing and clarifying association between standing and PWV in opposite directions for work and nonwork time. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03307343.

Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture.

Unlabelled: The integration of health and activity data from various wearable devices into research studies presents technical and operational challenges. The Awesome Data Acquisition Method (ADAM) is a versatile, web-based system that was designed for integrating data from various sources and managing a large-scale multiphase research study. As a data collecting system, ADAM allows real-time data collection from wearable devices through the device's application programmable interface and the mobile app's adaptive real-time questionnaires. As a clinical trial management system, ADAM integrates clinical trial management processes and efficiently supports recruitment, screening, randomization, data tracking, data reporting, and data analysis during the entire research study process. We used a behavioral weight-loss intervention study (SMARTER trial) as a test case to evaluate the ADAM system. SMARTER was a randomized controlled trial that screened 1741 participants and enrolled 502 adults. As a result, the ADAM system was efficiently and successfully deployed to organize and manage the SMARTER trial. Moreover, with its versatile integration capability, the ADAM system made the necessary switch to fully remote assessments and tracking that are performed seamlessly and promptly when the COVID-19 pandemic ceased in-person contact. The remote-native features afforded by the ADAM system minimized the effects of the COVID-19 lockdown on the SMARTER trial. The success of SMARTER proved the comprehensiveness and efficiency of the ADAM system. Moreover, ADAM was designed to be generalizable and scalable to fit other studies with minimal editing, redevelopment, and customization. The ADAM system can benefit various behavioral interventions and different populations.

Design and implementation of electronic health record-based tools to support a weight management program in primary care.

Objectives: This paper reports on a mixed methods formative evaluation to support the design and implementation of information technology (IT) tools for a primary care weight management intervention delivered through the patient portal using primary care staff as coaches. Methods: We performed a qualitative needs assessment, designed the IT tools to support the weight management program, and developed implementation tracking metrics. Implementation tracking metrics were designed to use real world electronic health record (EHR) data. Results: The needs assessment revealed IT requirements as well as barriers and facilitators to implementation of EHR-based weight management interventions in primary care. We developed implementation metrics for the IT tools. These metrics were used in weekly project team calls to make sure that project resources were allocated to areas of need. Conclusion: This study identifies the important role of IT in supporting weight management through patient identification, weight and activity tracking in the patient portal, and the use of the EHR as a population management tool. An intensive multi-level implementation approach is required for successful primary care-based weight management interventions including well-designed IT tools, comprehensive involvement of clinic leadership, and implementation tracking metrics to guide the process of workflow integration. This study helps to bridge the gap between informatics and implementation by using socio-technical formative evaluation methods early in order to support the implementation of IT tools. Trial registration: clinicaltrials.gov, NCT04420936. Registered June 9, 2020.

Screening for social determinants of health among populations at risk for MASLD: a scoping review.

Background: Social determinants of health (SDoH) have been associated with disparate outcomes among those with metabolic dysfunction-associated steatotic liver disease (MASLD) and its risk factors. To address SDoH among this population, real-time SDoH screening in clinical settings is required, yet optimal screening methods are unclear. We performed a scoping review to describe the current literature on SDoH screening conducted in the clinical setting among individuals with MASLD and MASLD risk factors. Methods: Through a systematic literature search of MEDLINE, Embase, and CINAHL Complete databases through 7/2023, we identified studies with clinic-based SDoH screening among individuals with or at risk for MASLD that reported pertinent clinical outcomes including change in MASLD risk factors like diabetes and hypertension. Results: Ten studies (8 manuscripts, 2 abstracts) met inclusion criteria involving 148,151 patients: 89,408 with diabetes and 25,539 with hypertension. Screening was primarily completed in primary care clinics, and a variety of screening tools were used. The most commonly collected SDoH were financial stability, healthcare access, food insecurity and transportation. Associations between clinical outcomes and SDoH varied; overall, higher SDoH burden was associated with poorer outcomes including elevated blood pressure and hemoglobin A1c. Conclusion: Despite numerous epidemiologic studies showing associations between clinical outcomes and SDoH, and guidelines recommending SDoH screening, few studies describe in-clinic SDoH screening among individuals with MASLD risk factors and none among patients with MASLD. Future research should prioritize real-time, comprehensive assessments of SDoH, particularly among patients at risk for and with MASLD, to mitigate disease progression and reduce MASLD health disparities.

Implementing weight maintenance with existing staff and electronic health record tools in a primary care setting: Baseline results from the MAINTAIN PRIME trial.

BACKGROUND: There is need for interventions that can assist with long-term maintenance of healthy body weight and be sustainably integrated into existing primary care teams. The goal of MAINTAIN PRIME (Promoting Real (World) IMplEmentation) is to evaluate whether a successful electronic health record (EHR)-based weight maintenance intervention can be adapted to a new clinical setting with primary care staff serving as coaches. METHODS: EHR tools include tracking tools, standardized surveys, and standardized "SmartPhrases" for coaching. Inclusion criteria were age 18-75 years, voluntary 5% weight loss in the past 2 years with prior BMI ≥ 25 kg/m2, and no bariatric procedures in past 2 years. Participants were randomized 1:1 to tailored online coaching with EHR tracking tools (coaching) or EHR tracking tools alone (tracking). RESULTS: We screened 405 individuals between September 2021 and April 2023; 269 participants enrolled (134 coaching; 135 tracking). The most common reason for not enrolling was ineligibility (55%). At baseline, participants were 50.3 (SD 15.02) years old, 66.4% female, and 84% White; 83.7% reported moderate physical activity. Average weight and BMI at baseline were 205.0 (SD 48.9) lbs. and 33.2 (6.8) kg/m2, respectively. Participants lost an average of 10.7% (SD 5.2) of their body weight before enrolling. We recruited 39 primary care coaches over the same period. Conclusion The study successfully identified and recruited primary care patients with recent intentional weight loss for participation in a weight maintenance program that uses EHR-based tools. We also successfully recruited and trained primary care staff as coaches.

The relationships between Physical activity and asthma control and Body Mass Index (BMI) in patients with asthma.

OBJECTIVE: Asthma is one of the most common chronic conditions in developed countries. We examined whether physical activity (PA) is related to asthma control and body mass index (BMI) in asthma patients. METHODS: Cross-sectional data collected on PA (ActiGraph GT3X-BT), asthma control (the Asthma Control Questionnaire; ACQ), and BMI were examined in 206 adults (mean[sd] age 47.2[13.8] years; 49.5% had an obese BMI) with clinically diagnosed asthma. Relationships between PA and continuous BMI and asthma control were assessed using linear regression. Differences in PA across obesity (non-obese: <30 Kg/m2/obese: ≥30 Kg/m2) and asthma control categories (controlled: ≤0.75/uncontrolled: >0.75 ACQ score) were also examined. RESULTS: Median (p25, p75) steps counts and peak cadence were 6035 (4248, 8461) steps/day and 123 (115, 133) steps in a minute, respectively. There were nearly 2000 fewer steps/day among those with uncontrolled asthma versus controlled and among those with obese BMI versus nonobese, respectively (both p < 0.05). In regression models adjusted for relevant covariates each 1-unit increase in ACQ score was associated with -686 [95%CI -997, -13] (p ≤ 0.05) average steps/day. The statistical significance of these findings was attenuated (p ≥ 0.05) when BMI was added to the model. However, the point estimate was not reduced (-766 [95%CI -1060, 34]. CONCLUSIONS: Overall step counts were low in this population despite peak cadence values suggesting that most participants could perform moderate intensity activity. Increasing step counts should be considered an important lifestyle intervention goal in obese and non-obese asthma patients with low PA levels.

Perceived and calculated diet quality improvements in a randomized mHealth weight loss trial.

The diet quality of US adults is poor and cross-sectional analyses suggest self-perception of healthful dietary intake may be overestimated. This analysis assessed the concordance between calculated and perceived diet quality and changes in diet quality among adults seeking weight loss and enrolled in a 12-month randomized behavioral trial. Healthy Eating Index-2015 diet quality (HEI) was calculated from self-administered 24-hour recalls. Perceived diet quality (PDQ) was measured on a 100-point scale. Higher scores indicate better diet quality. Concordance was assessed using the concordance correlation coefficient and Bland-Altman plots. The one hundred and five participants with complete dietary data were mostly female and white. There was good agreement between HEI and PDQ scores at 12 months for less than a third of participants. Most of the disagreement arose from PDQ scores being higher than HEI scores. Even fewer participants had good agreement between HEI changes and PDQ changes. Participants perceived greater improvement in diet quality than indicated by HEI score changes. Concordance was low at 12 months and for change in diet quality. Despite the diet quality of adults seeking weight loss being suboptimal and not improving, many perceived their diet quality and diet quality improvements as better than calculated. Future studies might explore the effect of misperceptions on weight loss outcomes.

Sleep Technology Intervention to Target Cardiometabolic Health (STITCH): a randomized controlled study of a behavioral sleep extension intervention compared to an education control to improve sleep duration, blood pressure, and cardiometabolic health among adults with elevated blood pressure/hypertension.

BACKGROUND: Short sleep duration, defined as < 7 h sleep on weeknights, affects 40% of the US adult population, contributing to the increased risk for cardiometabolic diseases, decreased safety, and poorer mental health. Despite the prevalence of short sleep duration, few studies have tested interventions to extend sleep duration. The objective of this study is to test the effects of a behavioral sleep extension intervention on sleep duration, blood pressure, and other measures of cardiometabolic health among adults with elevated blood pressure or hypertension. METHODS: This is a single-blind, randomized controlled trial to determine the impact of a behavioral sleep extension intervention on sleep duration and cardiometabolic health among individuals with short sleep duration (< 7 h per night) and elevated blood pressure or hypertension (SBP 120-150 mmHg or DBP 80-90 mmHg). After completing the screening, participants will be randomly assigned to either a sleep coaching (intervention) or health education (control) group. The participants will have weekly contact for either coaching or education for 8 weeks (intervention period) followed by monthly coaching or education for the next 2 months (maintenance period). Participants will complete assessment visits, actigraphy, and 24-h ambulatory blood pressure recording at baseline/screening, 8 weeks, and 6 and 12 months. The primary outcome is sleep duration at 8 weeks, and the secondary outcome is blood pressure at 8 weeks. DISCUSSION: The results of this study will determine the effects of behavioral sleep extension on sleep and cardiometabolic health among adults with short sleep duration and elevated BP/hypertension. The results will inform the feasibility and efficacy of behavioral sleep extension and provide information needed for future multi-site effectiveness studies. TRIAL REGISTRATION: ClinicalTrials.gov NCT04766424. Registered on 21 February 2021.

Influence of Recent Standing, Moving, or Sitting on Daytime Ambulatory Blood Pressure.

Background There are no recommendations for being seated versus nonseated during ambulatory blood pressure (BP) monitoring (ABPM). The authors examined how recent standing or moving versus sitting affect average daytime BP on ABPM. Methods and Results This analysis used baseline assessments from a clinical trial in desk workers with office systolic BP (SBP) 120 to 159 mm Hg or diastolic BP (DBP) 80 to 99 mm Hg. ABPM was measured every 30 minutes with a SunTech Medical Oscar 2 monitor. Concurrent posture (standing or seated) and moving (steps) were measured via a thigh-worn accelerometer. Linear regression determined within-person BP variability explained (R2) by standing and steps before ABPM readings. Mean daytime BP and the prevalence of mean daytime BP >135/85 mm Hg from readings after sitting (seated) or after recent standing or moving (nonseated) were compared with all readings. Participants (n=266, 59% women; age, 45.2±11.6 years) provided 32.5±3.9 daytime BP readings. Time standing and steps before readings explained variability up to 17% for daytime SBP and 14% for daytime DBP. Using the 5-minute prior interval, seated SBP/DBP was lower (130.8/79.7 mm Hg, P<0.001) and nonseated SBP/DBP was higher (137.8/84.3 mm Hg, P<0.001) than mean daytime SBP/DBP from all readings (133.9/81.6 mm Hg). The prevalence of mean daytime SBP/DBP ≥135/85 mm Hg also differed: 38.7% from seated readings, 70.3% from nonseated readings, and 52.6% from all readings (P<0.05). Conclusions Daytime BP was systematically higher after standing and moving compared with being seated. Individual variation in activity patterns could influence the diagnosis of high BP using daytime BP readings on ABPM.

Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement.

PURPOSE: Participant engagement in an online physical activity (PA) intervention is described and baseline factors related to engagement are identified. DESIGN: Longitudinal Study Within Randomized Controlled Trial. SETTING: Online/Internet. SAMPLE: Primary care patients (21-70 years). INTERVENTION: ActiveGOALS was a 3-month, self-directed online PA intervention (15 total lessons, remote coaching support, and a body-worn step-counter). MEASURES: Engagement was measured across six outcomes related to lesson completion (total number and time to complete), coach contact, and behavior tracking (PA, sedentary). Self-reported baseline factors were examined from seven domains (confidence, environment, health, health care, demographic, lifestyle, and quality of life). ANALYSIS: General linear and nonlinear mixed models were used to examine relationships between baseline factors and engagement outcomes within and across all domains. RESULTS: Seventy-nine participants were included in the sample (77.2% female; 74.7% white non-Hispanic). Program engagement was high (58.2% completed all lessons; PA was tracked ≥3 times/week for 11.3 ± 4.0 weeks on average). Average time between completed lessons (days) was longer than expected and participants only contacted their coach about 1 of every 3 weeks. Individual predictors related to health, health care, demographics, lifestyle, and quality of life were significantly related to engagement. CONCLUSION: Examining multiple aspects of engagement and a large number of potential predictors of engagement is likely needed to determine facilitators and barriers for high engagement in multi-faceted online intervention programs.

Lifestyle strategies after intentional weight loss: results from the MAINTAIN-pc randomized trial.

Introduction/Purpose: Weight maintenance following intentional weight loss is challenging and often unsuccessful. Physical activity and self-monitoring are strategies associated with successful weight loss maintenance. However, less is known about the type and number of lifestyle strategies used following intentional weight loss. The purpose of this study was to determine the types and amounts of strategies associated with successful long-term weight loss maintenance. Methods: Data from the 24-month Maintaining Activity and Nutrition Through Technology-Assisted Innovation in Primary Care (MAINTAIN-pc) trial were analyzed. MAINTAIN-pc recruited adults (n=194; 53.4±12.2 years of age, body mass index (BMI): 30.4±5.9 kg/m2, 74% female) with recent intentional weight loss of ≥5%, randomized to tracking tools plus coaching (i.e., coaching group) or tracking tools without coaching (i.e., tracking-only group). At baseline, 6, 12, and 24 months, participants reported lifestyle strategies used in the past 6 months, including self-monitoring, group support, behavioral skills, and professional support. General linear models evaluated changes in the number of strategies over time between groups and the consistency of strategies used over the 24-month intervention. Results: At baseline, 100% used behavioral skills, 73% used group support, 69% used self-monitoring, and 68% used professional support in the past 6 months; at 24 months, these rates were 98%, 60%, 75%, and 61%, respectively. While the number of participants utilizing individual strategies did not change significantly over time, the overall number of strategies participants reported decreased. More strategies were used at baseline and 6 months compared to 12- and 24-month follow-ups. The coaching group used more strategies at months 6 and 12 than the tracking-only group. Consistent use of professional support strategies over the 24-month study period was associated with less weight regain. Conclusion: Weight loss maintenance interventions that incorporate continued follow-up and support from healthcare professionals are likely to prevent weight regain after intentional weight loss.

The Association between Neighborhood Walkability and Physical Activity in a Behavioral Weight Loss Trial Testing the Addition of Remotely Delivered Feedback Messages to Self-Monitoring.

Adding feedback messages (FB) to self-monitoring (SM) may reinforce behavior change. However, socio-environmental conditions (e.g., limited access to parks or low walkability) may limit one's ability to respond to FB focused on physical activity (PA). In this analysis, we hypothesized that high neighborhood walkability will positively modify the treatment effect of FB on PA, and residents of high walkability neighborhoods will achieve higher PA levels at 12 months than those in low walkability neighborhoods. The study is a secondary analysis of a 12-month behavioral weight-loss trial. Adults with overweight/obesity were randomized to SM + FB (n = 251) or SM alone (n = 251). SM + FB group received smartphone pop-up messages thrice/week tailored to their PA SM data. The assessment included neighborhood walkability via Walk Score (low [<50] vs. high [≥50]), moderate to vigorous PA (MVPA) and step count via Fitbit Charge 2™, and weight via smart scale. We report adjusted linear regression coefficients (b) with standard errors (SE). The analysis included participants who were primarily white, female, and with obesity. In adjusted models, neighborhood walkability did not moderate the effect of treatment assignment on log-transformed (ln) MVPA or steps count over 12 months. The SM + FB group had greater lnMVPA than the SM group, but lnMVPA and steps were similar between walkability groups. There were no significant interactions for group and time or group, time, and walkability. These findings suggest that adding FB to SM had a small but significant positive impact on PA over 12 months, but neighborhood walkability did not moderate the treatment effect of FB on PA.

Single-Pill Combination Product Availability of the Antihypertensive Regimens Used for Intensive Systolic Blood Pressure Treatment in the Systolic Blood Pressure Intervention Trial.

BACKGROUND: Single-pill combination (SPC) antihypertensive products improve blood pressure control and medication adherence among patients with hypertension. It is unknown to what degree commercially available SPC products could be used to target an intensive systolic blood pressure goal of <120 mm Hg. METHODS: This cross-sectional analysis included participants randomized to the intensive treatment arm (goal systolic blood pressure <120 mm Hg) of the Systolic Blood Pressure Intervention Trial (SPRINT) using ≥2 antihypertensive medication classes at the 12-month postrandomization visit. Antihypertensive medication data were collected using pill bottle review by research coordinators, and regimens were categorized by the unique combinations of antihypertensive classes. We calculated the proportion of regimens used, which are commercially available as one of the 7 SPC class combinations in the United States as of January 2023. RESULTS: Among the 3833 SPRINT intensive arm participants included (median age, 67.0 years; 35.5% female), participants were using 219 unique antihypertensive regimens. The 7 regimens for which there are class-equivalent SPC products were used by 40.3% of participants. Only 3.2% of all medication class regimens used are available as a class-equivalent SPC product (7/219). There are no SPC products available with 4 or more medication classes, which were used by 1060 participants (27.7%). CONCLUSIONS: Most SPRINT participants in the intensive arm used an antihypertensive medication regimen, which is not commercially available as a class equivalent SPC product. To achieve the SPRINT results in real-world settings, maximize the potential benefit of SPCs, and reduce pill burden, improvements in the product landscape are needed. REGISTRATION: URL: https://www. CLINICALTRIALS: gov/ct2/show/NCT01206062; Unique identifier: NCT01206062.

Antihypertensive Medication Regimens Used by US Adults With Hypertension and the Potential for Fixed-Dose Combination Products: The National Health and Nutrition Examination Surveys 2015 to 2020.

Background Fixed-dose combination (FDC) antihypertensive products improve blood pressure control and adherence among patients with hypertension. It is unknown to what degree commercially available FDC products meet the current hypertension management prescription patterns in the United States. Methods and Results This cross-sectional analysis of the National Health and Nutrition Examination Surveys 2015 to March 2020 included participants with hypertension taking ≥2 antihypertensive medications (N=2451). After constructing each participant's regimen according to antihypertensive classes used, we estimated the extent to which the 7 class-level FDC regimens available in the United States as of January 2023 would match the regimens used. Among a weighted population of 34.1 million US adults (mean age, 66.0 years; 52.8% women; 69.1% non-Hispanic White race and ethnicity), the proportions using 2, 3, 4, and ≥5 antihypertensive classes were 60.6%, 28.2%, 9.1%, and 1.6%, respectively. The 7 FDC regimens were among 189 total regimens used (3.7%), and 39.2% of the population used one of the FDC regimens (95% CI, 35.5%-43.0%; 13.4 million US adults); 60.8% of the population (95% CI, 57.0%-64.5%; 20.7 million US adults) were using a regimen not available as a class-equivalent FDC product. Conclusions Three in 5 US adults with hypertension taking ≥2 antihypertensive classes are using a regimen that is not commercially available as a class-equivalent FDC product as of January 2023. To maximize the potential benefit of FDCs to improve medication adherence (and thus blood pressure control) among patients taking multiple antihypertensive medications, use of FDC-compatible regimens and improvements in the product landscape are needed.

Associations of physical and social workplace characteristics with movement behaviors at work.

Introduction/Purpose: Sedentary behavior (SB) is common in desk-based work and prolonged periods of SB are associated with negative health outcomes. This study assessed associations between workplace characteristics and setting and movement patterns during working hours. Methods: This secondary analysis used baseline data from the Reducing Sedentary Behavior to Decrease Blood Pressure (RESET BP) clinical trial which enrolled inactive, desk-based workers with elevated blood pressure (n=271; mean age: 45.3±11.6 years; body mass index (BMI): 30.66±7.1 kg/m2; 59.4% women). Physical and social workplace characteristics were assessed by a study-developed questionnaire and the Office Environment and Sitting Scale (OFFESS). Participants also wore an activPAL activity monitor for 7 days and reported working hours in a diary to measure SB and physical activity (PA) specifically while working. Linear regression was used to analyze cross-sectional associations between workplace characteristics and SB and PA. A stratified analysis was also conducted to assess associations among home-based and in-office desk workers separately. Analyses were adjusted for age, gender, BMI, and work wear time. Results: Participants spent 77% of working hours in SB. Public vs. private offices, working in-office vs. at home, higher local connectivity, and greater overall connectedness were associated with lower SB and/or greater PA (all p<0.05). Higher frequency of face-to-face interactions, and greater visibility and proximity to co-workers was associated with less SB and more PA (all p<0.05). For example, home-based workers had more total SB (+17.2±8.4 mins/day), more SB bouts ≥30 mins (+39.1±12.8 mins/day), and less steps (695±201 steps/day) than in-office employees. Stratification by office setting revealed differences in associations between SB and PA and workplace characteristics. Conclusions: More public, open spaces with more social interactions and physical walkways could improve SB and PA patterns during work. Home-based workers had more SB, less PA, and unique associations of these activities with workplace characteristics, suggesting a need for tailored interventions.