Perceived helpfulness of the individual components of a behavioural weight loss program: results from the Hopkins POWER Trial

Implementing an evidence-based behavioral weight-loss program in community mental health centers: A randomized pilot study

Background

Obesity is a leading cause of preventable death among individuals with serious mental illness (SMI). A prior randomized controlled trial demonstrated the efficacy of a lifestyle style intervention tailored to this population; however, such interventions need to be adapted and tested for real-world settings.

Aims

This study evaluated implementation interventions to support community mental health program staff to deliver an evidence-based lifestyle intervention to clients with obesity and SMI.

Materials & Methods

In this cluster-randomized pilot trial, the standard arm combined multimodal training with organizational strategy meetings and the enhanced arm included all standard strategies plus performance coaching. Staff-coaches delivered a 6-month group-based lifestyle intervention to clients with SMI. Primary outcomes were changes in staff knowledge, self-efficacy, and fidelity scores for lifestyle intervention delivery. Linear mixed-effects modeling was used to analyze outcomes, addressing within-site clustering and within-participant longitudinal correlation of outcomes.

Results

Three sites were in the standard arm (7 staff-coaches); 5 sites in the enhanced arm (11 staff-coaches). All sites delivered all 26 modules of the lifestyle intervention. Staff-coaches highly rated the training strategy's acceptability, feasibility and appropriateness. Overall, mean knowledge score significantly increased pre-post by 5.5 (95% CI: 3.9, 7.1) and self-efficacy was unchanged; neither significantly differed between arms. Fidelity ratings remained stable over time and did not differ between arms. Clients with SMI achieved a mean 6-month weight loss of 3.8 kg (95% CI: 1.6, 6.1).

Conclusions

Mental health staff delivering a lifestyle intervention was feasible using multicomponent implementation interventions, and preliminary results show weight reduction among clients with SMI. The addition of performance coaching did not significantly change outcomes. Future studies are needed to definitively determine the effect on client health outcomes.

Accessible weight loss program for adults who are legally blind: A pilot study

BACKGROUND

Compared to those without vision impairments, adults with low vision have higher rates of obesity and face more barriers to participation in traditional weight loss programs.

OBJECTIVE

This pilot study examined the usability and helpfulness of an adaptive, evidence-based weight loss program for adults who are legally blind.

METHODS

The study was a remotely delivered, single-arm weight loss trial for adults who were legally blind with a body mass index (BMI) ≥ 25. At weeks 4 and 8, participants reported usability and helpfulness of program components using a five-point scale (0-4) with higher numbers indicating greater usability and helpfulness. Weight data were collected at baseline, week 4, and week 8 using a scale with cellular technology. The adaptive 8-week weight loss program included evidence-based lifestyle recommendations for diet, physical activity, and self-weighing. The program provided support through text messages, emails, and video-based problem-solving sessions.

RESULTS

Participants (N = 28) were aged 53.4 ± 10.2 years, 89.3% female, 35.7% Black, and 57.1% non-Hispanic White with an average BMI of 35.4 ± 8.8 kg/m2. Most program components had a median score of 4 for usability and helpfulness except educational materials (helpfulness, median 3). Compared to baseline weight, participants had a weight loss of 2.2 ± 2.1% (p < .001) at week 4 and 3.6 ± 3.0% (p < .001) at week 8.

CONCLUSIONS

This study has provided evidence that an all-remote weight loss program can be a useable, helpful, and effective approach for adults who are legally blind. More work is needed to develop scalable, sustainable, and fully accessible evidence-based weight loss programs.

TRIAL REGISTRATION

Clinicaltrials. gov identifier: NCT05419063.

The Relationship Between Weight Loss Outcomes and Engagement in a Mobile Behavioral Change Intervention: Retrospective Analysis

Background

There is large variance in weight loss outcomes of digital behavior change interventions (DBCIs). It has been suggested that different patterns of engagement in the program could be responsible for this variance in outcomes. Previous studies have found that the amount of engagement on DBCIs, such as the number of meals logged or articles read, is positively associated with weight loss.

Objective

This retrospective study extends previous research by observing how important weight loss outcomes (high weight loss: 10% or greater body weight loss; moderate weight loss: between 5% to 10%; stable weight: 0 plus or minus 1%) are associated with engagement on a publicly available mobile DBCI (Noom) from 9 to 52 weeks.

Methods

Engagement and weight data for eligible participants (N=11,252) were extracted from the Noom database. Engagement measures included the number of articles read, meals logged, steps recorded, messages to coach, exercise logged, weigh-ins, and days with 1 meal logged per week. Weight was self-reported on the program. Multiple linear regressions examined how weight loss outcome (moderate and high vs stable) was associated with each engagement measure across 3 study time periods: 9-16 weeks, 17-32 weeks, and 33-52 weeks.

Results

At 9-16 weeks, among the 11,252 participants, 2594 (23.05%) had stable weight, 6440 (57.23%) had moderate weight loss, and 2218 (19.71%) had high weight loss. By 33-52 weeks, 525 (18.21%) had stable weight, 1214 (42.11%) had moderate weight loss, and 1144 (39.68%) had high weight loss. Regression results showed that moderate weight loss and high weight loss outcomes were associated with all engagement measures to a significantly greater degree than was stable weight (all P values <.001). These differences held across all time periods with the exception of exercise for the moderate weight loss category at 1 time period of 33-52 weeks. Exercise logging increased from 9 to 52 weeks regardless of the weight loss group.

Conclusions

Our results suggest that these clinically important weight loss outcomes are related to the number of articles read, meals logged, steps recorded, messages to coach, exercise logged, weigh-ins, and days with 1 meal logged per week both in the short-term and long-term (ie, 1 year) on Noom. This provides valuable data on engagement patterns over time on a self-directed mobile DBCI, can help inform how interventions tailor recommendations for engagement depending on how much weight individuals have lost, and raises important questions for future research on engagement in DBCIs.

Exposure to Weight Management Counseling Among Students at 8 U.S. Medical Schools

INTRODUCTION

Clinical guidelines support physician intervention consistent with the Ask, Advise, Assess, Assist, Arrange framework for adults who have obesity. However, weight management counseling curricula vary across medical schools. It is unknown how frequently students receive experiences in weight management counseling, such as instruction, observation, and direct experience.

METHODS

A cross-sectional survey, conducted in 2017, of 730 third-year medical students in 8 U.S. medical schools assessed the frequency of direct patient, observational, and instructional weight management counseling experiences that were reported as summed scores with a range of 0‒18. Analysis was completed in 2017.

RESULTS

Students reported the least experience with receiving instruction (6.5, SD=3.9), followed by direct patient experience (8.6, SD=4.8) and observational experiences (10.3, SD=5.0). During the preclinical years, 79% of students reported a total of ≤3 hours of combined weight management counseling instruction in the classroom, clinic, doctor's office, or hospital. The majority of the students (59%-76%) reported never receiving skills-based instruction for weight management counseling. Of the Ask, Advise, Assess, Assist, Arrange framework, scores were lowest for assisting the patient to achieve their agreed-upon goals (31%) and arranging follow-up contact (22%).

CONCLUSIONS

Overall exposure to weight management counseling was less than optimal. Medical school educators can work toward developing a more coordinated approach to weight management counseling.

Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial

BACKGROUND

Self-monitoring of dietary intake is a valuable component of behavioral weight loss treatment; however, it declines quickly, thereby resulting in suboptimal treatment outcomes.

OBJECTIVE

This study aimed to examine a novel behavioral weight loss intervention that aims to attenuate the decline in dietary self-monitoring engagement.

METHODS

GoalTracker was an automated randomized controlled trial. Participants were adults with overweight or obesity (n=105; aged 21-65 years; body mass index, BMI, 25-45 kg/m²) and were randomized to a 12-week stand-alone weight loss intervention using the MyFitnessPal smartphone app for daily self-monitoring of either (1) both weight and diet, with weekly lessons, action plans, and feedback (Simultaneous); (2) weight through week 4, then added diet, with the same behavioral components (Sequential); or (3) only diet (App-Only). All groups received a goal to lose 5% of initial weight by 12 weeks, a tailored calorie goal, and automated in-app reminders. Participants were recruited via online and offline methods. Weight was collected in-person at baseline, 1 month, and 3 months using calibrated scales and via self-report at 6 months. We retrieved objective self-monitoring engagement data from MyFitnessPal using an application programming interface. Engagement was defined as the number of days per week in which tracking occurred, with diet entries counted if ≥800 kcal per day. Other assessment data were collected in-person via online self-report questionnaires.

RESULTS

At baseline, participants (84/100 female) had a mean age (SD) of 42.7 (11.7) years and a BMI of 31.9 (SD 4.5) kg/m². One-third (33/100) were from racial or ethnic minority groups. During the trial, 5 participants became ineligible. Of the remaining 100 participants, 84% (84/100) and 76% (76/100) completed the 1-month and 3-month visits, respectively. In intent-to-treat analyses, there was no difference in weight change at 3 months between the Sequential arm (mean -2.7 kg, 95% CI -3.9 to -1.5) and either the App-Only arm (-2.4 kg, -3.7 to -1.2; P=.78) or the Simultaneous arm (-2.8 kg, -4.0 to -1.5; P=.72). The median number of days of self-monitoring diet per week was 1.9 (interquartile range [IQR] 0.3-5.5) in Sequential (once began), 5.3 (IQR 1.8-6.7) in Simultaneous, and 2.9 (IQR 1.2-5.2) in App-Only. Weight was tracked 4.8 (IQR 1.9-6.3) days per week in Sequential and 5.1 (IQR 1.8-6.3) days per week in Simultaneous. Engagement in neither diet nor weight tracking differed between arms.

CONCLUSIONS

Regardless of the order in which diet is tracked, using tailored goals and a commercial mobile app can produce clinically significant weight loss. Stand-alone digital health treatments may be a viable option for those looking for a lower intensity approach.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03254953; https://clinicaltrials.gov/ct2/show/NCT03254953 (Archived by WebCite at http://www.webcitation.org/72PyQrFjn).

More than A1C: Types of success among adults with type-2 diabetes participating in a technology-enabled nurse coaching intervention

OBJECTIVE

Success in diabetes research and self-management is often defined as a significant decrease in glycated hemoglobin (A1C). The aim of this article is to explore different types of successes experienced by adults with type-2 diabetes participating in a health technology and nurse coaching clinical trial.

METHODS

A qualitative analysis was conducted using surveys and documentation from motivational interview-based coaching sessions between study nurses and intervention participants.

RESULTS

Of the 132 cases reviewed, types of success predominantly fell into five categories: 1) change in health behaviors; 2) change in mindset or awareness; 3) change in engagement with healthcare resources; 4) change in physical or emotional health; and 5) change in health indicators.

CONCLUSION

Experiences of success in diabetes are more varied than traditional A1C-based outcome models. Our findings suggest coaching and technology can assist patients to achieve a range of successes in diabetes management through goal setting, health tracking, resolving barriers, and aligning goals with factors that impact change.

PRACTICE IMPLICATIONS

While A1C reduction is a critical factor in decreasing risk of diabetes-related complications, when healthcare professionals focus on A1C as the main indicator of diabetes management success, important changes in individuals' health and well-being may be overlooked or undervalued.

Perceived helpfulness of the individual components of a behavioural weight loss program: results from the Hopkins POWER Trial

Background

Behavioural weight loss programs are effective first‐line treatments for obesity and are recommended by the US Preventive Services Task Force. Gaining an understanding of intervention components that are found helpful by different demographic groups can improve tailoring of weight loss programs. This paper examined the perceived helpfulness of different weight loss program components.

Methods

Participants (n = 236) from the active intervention conditions of the Practice‐based Opportunities for Weight Reduction (POWER) Hopkins Trial rated the helpfulness of 15 different components of a multicomponent behavioural weight loss program at 24‐month follow‐up. These ratings were examined in relation to demographic variables, treatment arm and weight loss success.

Results

The components most frequently identified as helpful were individual telephone sessions (88%), tracking weight online (81%) and coach review of tracking (81%). The component least frequently rated as helpful was the primary care providers' general involvement (50%). Groups such as older adults, Blacks and those with lower education levels more frequently reported intervention components as helpful compared with their counterparts.

Discussion

Weight loss coaching delivered telephonically with web support was well received. Findings support the use of remote behavioural interventions for a wide variety of individuals.