Challenges of conducting a remote behavioral weight loss study: Lessons learned and a practical guide

2021 ◽  
pp. 106522
Author(s):  
Lu Hu ◽  
Paige Illiano ◽  
Mary Lou Pompeii ◽  
Collin J. Popp ◽  
Anna Y. Kharmats ◽  
...  
Keyword(s):  
Weight Loss ◽  
Lessons Learned ◽  
Behavioral Weight Loss ◽  
Practical Guide ◽  
Weight Loss Study

Experiences of Daily Weighing Among Successful Weight Loss Individuals During a 12-Month Weight Loss Study

2016 ◽  
Vol 40 (4) ◽  
pp. 462-480 ◽  
Author(s):  
Y. Zheng ◽  
M. A. Terry ◽  
C. A. Danford ◽  
L. J. Ewing ◽  
S. M. Sereika ◽  
...  
Keyword(s):  
Weight Loss ◽  
Intervention Study ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Weight Loss Programs ◽  
Behavioral Weight Loss Intervention ◽  
Predominantly Female ◽  
Successful Weight Loss ◽  
Weight Loss Study ◽  
Weight Loss Strategy

The purpose of the study was to describe participants’ experience of daily weighing and to explore factors influencing adherence to daily weighing among individuals who were successful in losing weight during a behavioral weight loss intervention. Participants completed a 12-month weight loss intervention study that included daily self-weighing using a Wi-Fi scale. Individuals were eligible to participate regardless of their frequency of self-weighing. The sample ( N = 30) was predominantly female (83.3%) and White (83.3%) with a mean age of 52.9 ± 8.0 years and mean body mass index of 33.8 ± 4.7 kg/m2. Five main themes emerged: reasons for daily weighing (e.g., feel motivated, being in control), reasons for not weighing daily (e.g., interruption of routine), factors that facilitated weighing, recommendations for others about daily weighing, and suggestions for future weight loss programs. Our results identified several positive aspects to daily self-weighing, which can be used to promote adherence to this important weight loss strategy.

Abstract P125: EMA Data Reveal Associations Between Sleep and Self-Efficacy for Adhering to a Healthy Lifestyle Plan

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Lora E Burke ◽  
Stephen Rathbun ◽  
Pat Strollo ◽  
Eileen Chasens ◽  
Asim Smailagic ◽  
...  
Keyword(s):  
Weight Loss ◽  
Self Efficacy ◽  
Linear Models ◽  
Healthy Lifestyle ◽  
Behavioral Weight Loss ◽  
Previous Night ◽  
Intentional Weight Loss ◽  
Falling Asleep ◽  
Ema Data ◽  
Weight Loss Study

Background: We are conducting a 12-month behavioral weight loss study to provide the background for the study of relapse following intentional weight loss. Ecological momentary assessment (EMA) is being used to assess the triggers of relapse in real time and in the person’s own environment. Objective: The purpose of this abstract is to report on the associations between sleep and self-efficacy for sticking to or adhering to a healthy lifestyle. Methods: Using a smartphone for EMA data collection, participants were prompted daily for 6 months to complete a beginning of the day (BOD) survey that reported on 1) difficulty falling asleep, 2) number of hours slept, 3) number of awakenings, and 4) how well they slept the previous night. Using the BOD survey data, separate mixed linear models were carried out predicting confidence in sticking to a healthy diet from the four items to which participants responded. For each model, subject and subject by predictor interaction were included as random effects. Results: The sample for this analysis is comprised of 89 participants who have completed the first 6 mos. of the study. It is predominantly female (90.3%) and White (81.9%), 58.3% are married with 16.72±2.56 years of education and a mean BMI of 33.90±4.56 kg/m 2 . All four items on the BOD survey were significant predictors of self-efficacy for adhering to a healthy lifestyle: trouble sleeping (b = 0.0182, p 0.0068); hours slept (b = 0.0011, p < 0.0001); number awakenings (b = 0.0706, p 0.0002); and how well slept (b = 0.1117, p <0.0001). Self-efficacy increased with the number of hours slept and how well the person slept, and decreased with trouble sleeping and number of awakenings. Standard deviation (SD) components for intercept were generally larger than the SD components for error suggesting that there was more variability within subjects than between subjects. Moreover, SD components for the slopes of the regression lines were large relative to the slopes of the regression lines, suggesting that that there is considerable variation among subjects in the predictive equations. While on average confidence in maintaining a healthy lifestyle increases with how well subjects slept, a high SD component suggests that for some subjects, confidence in maintaining a healthy lifestyle is negatively related to how well they slept. Conclusions: These preliminary EMA data suggest that for most participants in a weight loss study, reduced quality and quantity of sleep negatively impacted their confidence in adhering to their established plan for a healthy lifestyle. However, some participants reported higher self-efficacy despite poor or reduced sleep the previous night, which might suggest the use of greater resolve and problem-solving to do well in the face of what might be a challenging day. These findings have implications for content and standard approaches to behavioral weight loss treatment.

231-OR: Neighborhood Walkability Is Associated with Prediabetes in a Behavioral Weight Loss Study

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 231-OR
Author(s):  
JACOB K. KARIUKI ◽  
ZHADYRA BIZHANOVA ◽  
BONNY ROCKETTE-WAGNER ◽  
BETHANY B. GIBBS ◽  
SUSAN M. SEREIKA ◽  
...  
Keyword(s):  
Weight Loss ◽  
Behavioral Weight Loss ◽  
Neighborhood Walkability ◽  
Weight Loss Study

scholarly journals A web-based intervention to increase weight loss treatment initiation: results of a cluster randomized feasibility and acceptability trial

2019 ◽  
Author(s):  
Megan A McVay ◽  
William S Yancy ◽  
Gary G Bennett ◽  
Erica Levine ◽  
Seung-Hye Jung ◽  
...  
Keyword(s):  
Primary Care ◽  
Weight Loss ◽  
Treatment Initiation ◽  
Primary Care Providers ◽  
Feasibility Trial ◽  
Care Providers ◽  
Behavioral Weight Loss ◽  
Weight Loss Treatment ◽  
Primary Care Patients ◽  
Cluster Randomized

Abstract Evidence-based behavioral weight loss treatment is under-utilized. To increase initiation of treatment, we developed a single-session, online, primary care-based intervention (“mobilization tool”). We evaluated the mobilization tool's acceptability for primary care patients with obesity, trial design feasibility, and signal of an effect of the tool on treatment initiation. In this cluster randomized feasibility trial, primary care providers (PCPs) were randomized to a mobilization tool or comparator tool arm. Patients with obesity and a scheduled appointment with a randomized PCP were assigned to complete the mobilization or comparator tool prior to their appointment. The online mobilization tool asks patients to answer questions about a variety of weight-related topics and then provides automated, tailored feedback that addresses psychosocial determinants of weight loss treatment initiation. The comparator tool provided a nontailored description of treatments. All participants were offered free enrollment in behavioral weight loss treatments. Six PCPs were randomized. Sixty patients (57% female; 66% white; aged 55 ± 13 years) participated in this study of 296 contacted for eligibility evaluation (20.2%). Six-month follow-up assessments were completed by 65% (22/34) of the mobilization and 73% (19/26) of comparator tool participants. Participants completing the acceptability survey reported that the mobilization tool was usable, enjoyable, informative, and useful. Weight loss treatment was initiated by 59% (n = 19) of mobilization and 33% (n = 8) of comparator tool participants. The mobilization tool shows promise for increasing treatment initiation among primary care patients, which may increase population weight loss. Trial Registration: Clinicaltrials.gov identifier: NCT02708121.

scholarly journals Implementation of Remote Interventions in Older Adults: Lessons Learned During COVID-19 Isolation

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 950-950
Author(s):  
Jamie Rincker ◽  
Jessica Wallis ◽  
Angela Fruik ◽  
Alyssa King ◽  
Kenlyn Young ◽  
...  
Keyword(s):  
Older Adults ◽  
Weight Loss ◽  
Nutrition Education ◽  
Underserved Populations ◽  
Smart Phone ◽  
Dropout Rate ◽  
Lessons Learned ◽  
Drop Out ◽  
Electronic Submission ◽  
Weight Loss Interventions

Abstract Recommendations for older adults to socially isolate during the COVID-19 pandemic will have lasting impacts on body weight and physical activity. Due to the pandemic, two in-person RCT weight-loss interventions in obese older adults with prediabetes, Veterans Achieving Weight Loss and Optimizing Resilience-Using Protein (VALOR-UP, n=12) and the Egg-Supplemented Pre-Diabetes Intervention Trial (EGGSPDITE, n=7), were converted to remote formats and weekly nutrition (EGGSPDITE and VALOR-UP) and exercise (VALOR-UP only) classes were delivered using synchronous videoconference technology (Webex); classes were accessed via tablet/desktop/laptop or smart phone. Steps taken to transition participants to remote formats included technology training, implementation of staff tech-support, and delivery of nutrition education, tablets, scales, and exercise bands. The time to successfully transition participants was 1 week for early adopters (n=10) and up to 4 weeks for those with significant technology barriers (n=9); their difficulties included internet access, camera and microphone access and use, and electronic submission of weight and food records. Even with these challenges, in the first 3 months of remote delivery, participant dropout rate was low (10.5%, n=2), attendance was high (87.6% nutrition class (n=19); 76.4% exercise class (VALOR-UP, n=12)), and weight loss was successful (&gt;2.5% loss (n=13); &gt;5% loss (n=8)), showing that lifestyle interventions can be successfully adapted for remote delivery. Remote interventions also have potential for use in non-pandemic times to reach underserved populations who often have high drop-out rates due to caretaker roles, transportation limitations, and work schedules. These barriers were significantly reduced using a virtual intervention platform.

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