Reduced Cardiovascular Disease Incidence With a National Lifestyle Change Program

Black Veterans Experiences with and Recommendations for Improving Weight-Related Health Care: A Photovoice Study

BACKGROUND

Non-Hispanic Black or African American (hereafter Black) veterans lose less weight than other users of the Veterans Health Administration's (VHA) weight management program (MOVE!), despite higher enrollment.

OBJECTIVE

To understand factors that affect weight loss disparities between Black veterans and other veterans.

DESIGN

Qualitative study using Photovoice methods.

PARTICIPANTS

Self-identified Black veterans in MOVE! across the USA (two women, seven men).

APPROACH

We conducted six virtual Photovoice sessions with Black veterans. Session one provided orientation to the goal of understanding factors that might affect weight loss disparities. Participants chose missions related to weight management and VHA care, bringing photos or other media (e.g., poems) to discuss during remaining sessions. Facilitators/participants identified themes related to each session in real time. Between and after sessions, facilitators/investigators conducted rapid qualitative analysis of transcripts/audio to group similar themes, identify illustrative quotes/photos/other media, and prepare dissemination products (e.g., this manuscript). Participants provided feedback on the manuscript during an additional session.

KEY RESULTS

Themes were identified across three categories: (1) Food in Our Lives and Health Care; (2) Body Image; and (3) Healthcare Bias and Discrimination. The emotional impact of food and the negative effects of bias and discrimination on health care quality and trust were especially salient. Participants provided recommendations for weight-related and general care. Notable recommendations included the need for VHA to hire and retain providers-especially Black providers-who understand and respect Black patients and are committed to delivering evidence-based, culturally sensitive care. In addition, weight management care should be tailored to individual patients' diets and health beliefs and deemphasize body mass index.

CONCLUSIONS

Photovoice resulted in concrete targets that could reduce health disparities. Institutions should consider Photovoice and similar approaches to build trust with and incorporate input from marginalized communities. This approach requires sustained commitment from leaders to engage stakeholders and implement solutions.

Engagement and Use of a Blended mHealth Intervention for Health Behavior Change

BACKGROUND

Blended mHealth interventions (mHealth interventions including a facilitator) promote user engagement and increase effectiveness of health behavior change interventions. Little is known about how blended mHealth interventions are used outside the research context.

METHODS

In the present work, we characterized patterns of app use among users of a blended mHealth intervention in real-world conditions. Program users were Veterans Health Administration (VHA) primary care patients (n = 56) who received an invite code for a blended mHealth intervention between 2019 and 2021. Cluster analysis was used to examine user engagement with health coach visits and program features.

RESULTS

Of patients who received an invite code, 34% initiated the program. Most users were men (63%) and white (57%). The mean number of health conditions was 5 (68% with obesity). The mean age was 55. Cluster analysis suggested that most users did sustain engagement at either moderate (57%) or very high levels (13%). The remaining 30% of users were low engaged users. Users completing any health coach visit (about half) reported more overall engagement than their counterparts who did not. Weight was the most frequently tracked metric. Of users entering weights in the first and last month of the program (n = 18), the mean percent body weight change was 4.0% (SD = 3.6).

CONCLUSIONS

A blended mHealth intervention may be a scalable option to extend the reach of health behavior change interventions for those that use it. However, a significant portion of users do not initiate these interventions, choose not to use the health coach feature, or engage at lower levels. Future research should examine the role of health coaching visits in promoting sustained engagement.

Behavioral weight management use in the Veterans Health Administration: Sociodemographic and health correlates

INTRODUCTION

Over 40 % of United States Veterans Health Administration (VHA) primary care patients have obesity. Few patients use VHA's flagship weight management program, MOVE! and there is little information on other behavioral weight management program use.

METHODS

The national United States cohort included over 1.5 million primary care patients with obesity, age 18-79, based on VHA administrative data. Gender stratified multivariable logistic regression identified correlates of weight management use in the year after a patient's first primary care appointment (alpha of 0.05). Weight management use was defined as MOVE! or nutrition clinic visits.

RESULTS

The cohort included 121,235 women and 1,521,547 men with 13 % and 7 % using weight management, respectively. Point estimates for specific correlates of use were similar between women and men, and across programs. Black patients were more likely to use weight management than White patients. Several physical and mental health diagnoses were also associated with increased use, such as sleep apnea and eating disorders. Age and distance from VHA were negatively associated with weight management use.

CONCLUSIONS

When assessing multiple types of weight management visits, weight management care in VHA appears to be used more often by some populations at higher risk for obesity. Other groups may need additional outreach, such as those living far from VHA. Future work should focus on outreach and prevention efforts to increase overall use rates. This work could also examine the benefits of tailoring care for populations in greatest need.

The EMBER trial for weight management engagement: A hybrid type 1 randomized controlled trial protocol

BACKGROUND

Almost 40% of Veterans Health Administration (VHA) users have obesity. VHA's national weight management program is associated with weight loss and improved health. However, while 94% of eligible VHA users are offered weight management programs, <8% use them. We developed EMBER - a novel, Motivational Interviewing-based, self-help tool - with the goal of Enhancing Motivation for Better Engagement and Reach for weight management. EMBER is not a weight management program; instead it engages people in existing programs by informing and guiding choices about weight management.

METHODS

The EMBER Trial is a randomized hybrid type 1 effectiveness implementation trial. Participants are Palo Alto or Houston VA Health Care System users with obesity who have not used a VHA weight management program in the past two years (target N = 470). Participants are randomly assigned to EMBER or an information-only control condition, after which they receive materials on paper or digitally, per their preference. The trial's primary goal is to determine whether participants randomized to EMBER are more likely to have any weight management engagement at two-month follow-up compared to those in the control condition. Secondary outcomes include 6-month retention in weight management, weight management behaviors, weight loss, quality of life, and implementation outcomes (e.g., reach, appropriateness).

CONCLUSION

EMBER is the first self-directed, Motivational Interviewing-based intervention designed to increase weight management program engagement. The study takes a low-touch, population health approach that could be modified for other programs if effective. The Hybrid Type 1 design will ensure results can be scaled and sustained.

Scope of Use and Effectiveness of Dietary Interventions for Improving Health-Related Outcomes in Veterans: A Systematic Review

Military veterans often have numerous physical and mental health conditions and can face unique challenges to intervention and management. Dietary interventions can improve the outcomes in many health conditions. This study aimed to evaluate the scope of health conditions targeted with dietary interventions and the effectiveness of these interventions for improving health-related outcomes in veterans. A systematic literature review was performed following PRISMA guidelines to identify and evaluate studies related to veterans and dietary interventions. Five electronic databases were searched, identifying 2669 references. Following screening, 35 studies were evaluated, and 18 were related to a US national veteran weight-loss program. The included studies were critically appraised, and the findings were narratively synthesized. Study designs ranged from randomised controlled trials to cohort studies and were predominantly U.S. based. The intervention durations ranged from one to 24 months. The mean subject age ranged from 39.0 to 69.7 years, with often predominantly male participants, and the mean body mass index ranged from 26.4 to 42.9 kg/m². Most dietary interventions for veterans were implemented in populations with overweight/obesity or chronic disease and involved single dietary interventions or dietary components of holistic lifestyle interventions. The most common primary outcome of interest was weight loss. The success of dietary interventions was generally moderate, and barriers included poor compliance, mental health conditions and large drop-out rates. The findings from this review illustrate the need for further refinement of dietary and lifestyle interventions for the management of veterans with chronic health conditions.

Adoption and Appropriateness of mHealth for Weight Management in the Real World: A Qualitative Investigation of Patient Perspectives

Background

Mobile health (mHealth) interventions for weight management can result in weight loss outcomes comparable to in-person treatments. However, there is little information on implementing these treatments in real-world settings.

Objective

This work aimed to answer two implementation research questions related to mHealth for weight management: (1) what are barriers and facilitators to mHealth adoption (initial use) and engagement (continued use)? and (2) what are patient beliefs about the appropriateness (ie, perceived fit, relevance, or compatibility) of mHealth for weight management?

Methods

We conducted semistructured interviews with patients with obesity at a single facility in an integrated health care system (the Veterans Health Administration). All participants had been referred to a new mHealth program, which included access to a live coach. We performed a rapid qualitative analysis of interviews to identify themes related to the adoption of, engagement with, and appropriateness of mHealth for weight management.

Results

We interviewed 24 veterans, seven of whom used the mHealth program. Almost all participants were ≥45 years of age and two-thirds were White. Rapid analysis identified three themes: (1) coaching both facilitates and prevents mHealth adoption and engagement by promoting accountability but leading to guilt among those not meeting goals; (2) preferences regarding the mode of treatment delivery, usability, and treatment content were barriers to mHealth appropriateness and adoption, including preferences for in-person care and a dislike of self-monitoring; and (3) a single invitation was not sufficient to facilitate adoption of a new mHealth program. Themes were unrelated to participants’ age, race, or ethnicity.

Conclusions

In a study assessing real-world use of mHealth in a group of middle-aged and older adults, we found that—despite free access to mHealth with a live coach—most did not complete the registration process. Our findings suggest that implementing mHealth for weight management requires more than one information session. Findings also suggest that focusing on the coaching relationship and how users’ lives and goals change over time may be an important way to facilitate engagement and improved health. Most participants thought mHealth was appropriate for weight management, with some nevertheless preferring in-person care. Therefore, the best way to guarantee equitable care will be to ensure multiple routes to achieving the same behavioral health goals. Veterans Health Administration patients have the option of using mHealth for weight management, but can also attend group weight management programs or single-session nutrition classes or access fitness facilities. Health care policy does not allow such access for most people in the United States; however, expanded access to behavioral weight management is an important long-term goal to ensure health for all.

Testing a tailored weight management program for veterans with PTSD: The MOVE! + UP randomized controlled trial

Post-traumatic stress disorder (PTSD), prevalent among Veterans, increases risk for having a high Body Mass Index. Although the Veterans Health Administration (VHA) offers an evidence-based behavioral weight management program called MOVE!, participants with PTSD lose less weight than those without mental health conditions, despite comparable participation. PTSD symptoms can interfere with one's ability to be physically active and maintain a healthy diet, the key targets in weight management programs. We developed and piloted a behavioral weight management program called MOVE! + UP that targets PTSD-related weight loss barriers. MOVE! + UP includes 16 group sessions with training in evidence-based weight management strategies, coupled with Cognitive Behavior Therapy (CBT) skills to address PTSD-specific barriers. The 16 sessions also include 30-min community walks to address PTSD-related barriers that may impede exercise. Two individual dietician sessions are provided. This hybrid type 1 randomized controlled trial (RCT) will compare MOVE! + UP to standard care-MOVE!-among 164 Veterans with BMI ≥ 25 who are receiving care for PTSD. We will randomize participants to MOVE! + UP or standard care and will compare absolute post-baseline change in weight at 6 (primary outcome) and 12 (secondary outcome) months, and PTSD symptom severity at 6 and 12 months (secondary outcome). Exploratory analyses will compare the treatment conditions on treatment targets measured at 6 months (e.g., physical activity, eating behavior, social support). Finally, we will estimate intervention costs, and identify MOVE! + UP implementation barriers and facilitators. If effective, MOVE! + UP could be an efficient way to simultaneously address physical and mental health for Veterans with PTSD.

Association of Food Access, Recreational Opportunities, and Natural Amenities with Engagement in the Veterans MOVE! Weight Management Program

OBJECTIVE

The aim of this study was to examine the association of county-level food access, recreational opportunities, and natural amenities with participant engagement in a weight management program.

METHODS

In this cohort study, participants in the Veterans Health Administration MOVE! weight management program between October 1, 2007, and September 30, 2013, were observed for 12 months after enrollment. Engagement was measured as the number of program visits per year at 12 months. Cross-sectional analysis and spatial regression were used to examine county characteristics associated with greater participant engagement at 12 months.

RESULTS

A total of 321,624 participants in 2,708 counties were included. Greater engagement was associated with older age, female sex, white race, being married, and being retired. After accounting for similarities between nearby communities, engagement at 12 months was 3.1 visits higher for each additional farmers' market per 1,000 population (P = 0.01). Engagement was highest for participants living in counties with the most natural amenities (P < 0.001). Recreational opportunities had only a small effect on engagement in the program (β = 0.02 visits at 12 months; P = 0.002).

CONCLUSIONS

Consideration of a participant's county characteristics in addition to other known demographics and program factors may help to explain variation in engagement in weight management programs.

Random plasma glucose predicts the diagnosis of diabetes

Aims/Hypothesis

Early recognition of those at high risk for diabetes as well as diabetes itself can permit preventive management, but many Americans with diabetes are undiagnosed. We sought to determine whether routinely available outpatient random plasma glucose (RPG) would be useful to facilitate the diagnosis of diabetes.

Methods

Retrospective cohort study of 942,446 U.S. Veterans without diagnosed diabetes, ≥3 RPG in a baseline year, and ≥1 primary care visit/year during 5-year follow-up. The primary outcome was incident diabetes (defined by diagnostic codes and outpatient prescription of a diabetes drug).

Results

Over 5 years, 94,599 were diagnosed with diabetes [DIAB] while 847,847 were not [NONDIAB]. Baseline demographics of DIAB and NONDIAB were clinically similar, except DIAB had higher BMI (32 vs. 28 kg/m²) and RPG (150 vs. 107 mg/dl), and were more likely to have Black race (18% vs. 15%), all p<0.001. ROC area for prediction of DIAB diagnosis within 1 year by demographic factors was 0.701, and 0.708 with addition of SBP, non-HDL cholesterol, and smoking. These were significantly less than that for prediction by baseline RPG alone (≥2 RPGs at/above a given level, ROC 0.878, p<0.001), which improved slightly when other factors were added (ROC 0.900, p<0.001). Having ≥2 RPGs ≥115 mg/dl had specificity 77% and sensitivity 87%, and ≥2 RPGs ≥130 mg/dl had specificity 93% and sensitivity 59%. For predicting diagnosis within 3 and 5 years by RPG alone, ROC was reduced but remained substantial (ROC 0.839 and 0.803, respectively).

Conclusions

RPG levels below the diabetes “diagnostic” range (≥200 mg/dl) provide good discrimination for follow-up diagnosis. Use of such levels–obtained opportunistically, during outpatient visits–could signal the need for further testing, allow preventive intervention in high risk individuals before onset of disease, and lead to earlier identification of diabetes.

Tobacco smoking and the risk of heart failure: A systematic review and meta-analysis of prospective studies

Background

We conducted a systematic review and meta-analysis to clarify the association between smoking and the risk of developing heart failure.

Methods

PubMed and Embase databases were searched up to 24 July 2018. Prospective studies were included if they reported adjusted relative risk (RR) estimates and 95% confidence intervals (CIs) of heart failure associated with smoking. Summary RRs and 95% CIs were estimated using a random effects model.

Results

Twenty-six studies were included. The summary RR was 1.75 (95% CI: 1.54–1.99, I2 = 81%, n = 10) for current smokers, 1.16 (95% CI: 1.08–1.24, I2 = 51%, n = 9) for former smokers, and 1.44 (1.34–1.55, I2 = 83%, n = 10) for ever smokers compared with never smokers. The summary RR was 1.41 (95% CI: 1.01–1.96, I2 = 82%, n = 2) per 10 cigarettes per day, 1.11 (95% CI: 1.04–1.18, I2 = 70%, n = 3) and 1.08 (95% CI: 1.02–1.14, I2 = 34%, n = 2) per 10 pack-years among ever smokers and former smokers, respectively, and 0.79 (95% CI: 0.63–1.00, I2 = 96%, n = 2) per 10 years since quitting smoking. The association between smoking cessation and heart failure reached significance at 15 years of smoking cessation, and at 30 years the summary RR was 0.72 (95% CI: 0.57–0.90), only slightly higher than the summary RR for never smokers (0.64 (95% CI: 0.57–0.72)) when compared with current smokers.

Conclusion

Smoking is associated with increased risk of heart failure, but the risk decreases with increasing duration since smoking cessation. Any further studies should investigate the association between number of cigarettes per day, duration, pack-years and time since quitting smoking and risk of heart failure.

Systematic Review of Behavioral Weight Management Program MOVE! for Veterans

CONTEXT

Since 2006, the Veterans Health Administration has delivered a population-based behavioral weight management program (MOVE!) to Veterans, which numerous studies have examined. The purpose of this study was to systematically review these studies to understand MOVE! participation rates and the association between MOVE! participation and weight change.

EVIDENCE ACQUISITION

A December 2016 PubMed search identified 320 English-language abstracts published between January 1, 2005 and December 31, 2016, of which 42 underwent full-text review. Twenty-six articles were determined to be eligible for final inclusion and data elements extracted from these articles included study years, study design, content of MOVE! and control intervention (if any), inclusion/exclusion criteria, initial sample size and sample loss, intervention duration and follow-up, patient characteristics, and outcomes. Quality was assessed using the Newcastle-Ottawa Quality Scale.

EVIDENCE SYNTHESIS

Studies were judged to be of good quality. Twenty-one of the 26 studies were retrospective cohort studies, one was a prospective cohort study and four were randomized trials. Program participation varied substantially (2%-12%) across studies. Six-month weight loss ranged from -0.95 kg to -1.84 kg, whereas 12-month weight loss ranged from -0.13 kg to -3.3 kg. A maximum of 25% of MOVE! users engaged in intense and sustained participation (eight or more visits within 6 months), but higher participation levels were consistently associated with greater weight change (-1.18 kg to -5.3 kg at 6 months, -1.68 kg to -3.58 kg at 12 months).

CONCLUSIONS

MOVE! participation is associated with modest short-term weight loss, with greater weight loss as participation increases. More research is needed to understand the barriers and facilitators to participation and the effect of MOVE! participation on long-term health and economic outcomes.