scholarly journals Associations between self-monitoring and weight change in behavioral weight loss interventions.

2019 ◽  
Vol 38 (12) ◽  
pp. 1128-1136 ◽  
Author(s):  
Stephanie P. Goldstein ◽  
Carly M. Goldstein ◽  
Dale S. Bond ◽  
Hollie A. Raynor ◽  
Rena R. Wing ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Change ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Weight Loss Interventions

scholarly journals Long-Term Evaluation of Counselor Efficiency at Providing Feedback in a Technology-Based Behavioral Weight Loss Intervention (Preprint)

2020 ◽  
Author(s):  
Margaret Fahey ◽  
Robert C. Klesges ◽  
Mehmet Kocak ◽  
Leslie Gladney ◽  
Gerald W. Talcott ◽  
...  
Keyword(s):  
Weight Loss ◽  
Electronic Mail ◽  
Detailed Examination ◽  
Monitoring Data ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Future Technology ◽  
Study Implementation ◽  
Weight Loss Interventions

BACKGROUND Feedback for participants’ self-monitoring is a crucial, and costly, component of technology-based weight loss interventions. Detailed examination of interventionist time when reviewing and providing feedback for online self-monitoring data is unknown. OBJECTIVE Study purpose was to longitudinally examine time counselors spent providing feedback on participant self-monitoring data (i.e., diet, physical activity, weight) in a 12-month technology-based weight loss intervention. We hypothesized that counselors would deliver feedback to participants more quickly over time. METHODS Time counselors (N=10) spent reviewing and providing feedback to participants via electronic mail (e-email) was longitudinally examined for all counselors across the three years of study implementation. Descriptives were observed for counselor feedback duration across counselors by 12 annual quarters (i.e., three-month periods). Differences in overall duration times by each consecutive annual quarter were analyzed using Wilcoxon-Mann-Whitney tests. RESULTS There was a decrease in counselor feedback duration from first to second quarter [Mean (M) = 53 to 46 minutes], and from second to third (M= 46 to 30). A trend suggested a decrease from third to fourth quarters (M = 30 to 26), but no changes were found in subsequent quarters. Consistent with hypothesis, counselors increased their efficiency in providing feedback. Across 12-months, mean time counselors needed to review participant self-monitoring and provide feedback decreased from 53 to 26 minutes. CONCLUSIONS Counselors needed increasingly less time to review online self-monitoring data and provide feedback after the initial nine months of study implementation. Results inform counselor costs for future technology-based behavioral weight loss interventions. For example, regardless of increasing counselor efficiency, 25-30 minutes per feedback message is a high cost for interventions. One possibility for reducing costs would be generating computer-automated feedback. CLINICALTRIAL NCT02063178

Discrepancies Between Clinician and Participant Intervention Adherence Ratings Predict Percent Weight Change During a Six-Month Behavioral Weight Loss Intervention

2021 ◽  
Vol 11 (4) ◽  
pp. 1006-1014
Author(s):  
Michael P Berry ◽  
Elisabeth M Seburg ◽  
Meghan L Butryn ◽  
Robert W Jeffery ◽  
Melissa M Crane ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Change ◽  
Weight Control ◽  
Calorie Intake ◽  
Behavioral Weight Loss ◽  
Weight Loss Treatment ◽  
Self Monitoring ◽  
Weight Control Behaviors ◽  
Behavioral Weight Loss Intervention ◽  
Behavioral Weight Loss Treatment

Abstract Background Individuals receiving behavioral weight loss treatment frequently fail to adhere to prescribed dietary and self-monitoring instructions, resulting in weight loss clinicians often needing to assess and intervene in these important weight control behaviors. A significant obstacle to improving adherence is that clinicians and clients sometimes disagree on the degree to which clients are actually adherent. However, prior research has not examined how clinicians and clients differ in their perceptions of client adherence to weight control behaviors, nor the implications for treatment outcomes. Purpose In the context of a 6-month weight-loss treatment, we examined differences between participants and clinicians when rating adherence to weight control behaviors (dietary self-monitoring; limiting calorie intake) and evaluated the hypothesis that rating one’s own adherence more highly than one’s clinician would predict less weight loss during treatment. Methods Using clinician and participant-reported measures of self-monitoring and calorie intake adherence, each assessed using a single item with a 7- or 8-point scale, we characterized discrepancies between participant and clinician adherence and examined associations with percent weight change over 6 months using linear mixed-effects models. Results Results indicated that ratings of adherence were higher when reported by participants and supported the hypothesis that participants who provided higher adherence ratings relative to their clinicians lost less weight during treatment (p < 0.001). Conclusions These findings suggest that participants in weight loss treatment frequently appraise their own adherence more highly than their clinicians and that participants who do so to a greater degree tend to lose less weight.

scholarly journals Examining Social Influence on Participation and Outcomes among a Network of Behavioral Weight-Loss Intervention Enrollees

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
T. L. Carson ◽  
K. E. Eddings ◽  
R. A. Krukowski ◽  
S. J. Love ◽  
J. R. Harvey-Berino ◽  
...  
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Weight Loss ◽  
Black Women ◽  
Weight Change ◽  
Weight Control ◽  
Social Contact ◽  
Weight Loss Program ◽  
Behavioral Weight Loss ◽  
Self Monitoring

Research suggests that social networks, social support, and social influence are associated with weight trajectories among treatment- and non-treatment-seeking individuals. This study examined the impact of having a social contact who participated in the same group behavioral weight-control intervention in the absence of specific social support training on women engaged in a weight-loss program. Participants (n=92; 100% female; 54% black; mean age:46±10years; mean BMI:38±6) were grouped based upon whether or not they reported a social contact enrolled previously/concurrently in our behavioral weight-control studies. Primary outcomes were 6-month weight change and treatment adherence (session attendance and self-monitoring). Half of the participants (53%) indicated that they had a social contact; black women were more likely to report a social contact than white women (67.3% versus 39.5%;P<0.01). Among participants with a social contact, 67% reported at least one contact as instrumental in the decision to enroll in the program. Those with a contact lost more weight (5.9 versus 3.7 kg;P=0.04), attended more group sessions (74% versus 54%;P<0.01), and submitted more self-monitoring journals (69% versus 54%;P=0.01) than those without a contact. Participants' weight change was inversely associated with social contacts' weight change (P=0.04). There was no association between participant and contact’s group attendance or self-monitoring. Social networks may be a promising vehicle for recruiting and engaging women in a behavioral weight-loss program, particularly black women. The role of a natural social contact deserves further investigation.

scholarly journals A systematic review of the use of dietary self-monitoring in behavioral weight-loss interventions: delivery, intensity and effectiveness

2021 ◽  
pp. 1-85
Author(s):  
Margaret Raber ◽  
Yue Liao ◽  
Anne Rara ◽  
Susan M. Schembre ◽  
Kate J. Krause ◽  
...  
Keyword(s):  
Systematic Review ◽  
Weight Loss ◽  
Implementation Strategies ◽  
Mobile App ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Monitoring Strategies ◽  
Weight Loss Outcomes ◽  
Monitoring Protocols ◽  
Weight Loss Interventions

Abstract Objective: To identify dietary self-monitoring implementation strategies in behavioral weight loss interventions. Design: We conducted a systematic review of eight databases and examined 59 weight loss intervention studies targeting adults with overweight/obesity that used dietary self-monitoring. Setting: NA Participants: NA Results: We identified self-monitoring implementation characteristics, effectiveness of interventions in supporting weight loss, and examined weight loss outcomes among higher and lower intensity dietary self-monitoring protocols. Included studies utilized diverse self-monitoring formats (paper, website, mobile app, phone) and intensity levels (recording all intake or only certain aspects of diet). We found the majority of studies using high and low intensity self-monitoring strategies demonstrated statistically significant weight loss in intervention groups compared to control groups. Conclusions: Based on our findings, lower and higher intensity dietary self-monitoring may support weight loss, but variability in adherence measures and limited analysis of weight loss relative to self-monitoring usage limits our understanding of how these methods compare to each other.

scholarly journals Weight change, psychological well-being, and vitality in adults participating in a cognitive–behavioral weight loss program.

2013 ◽  
Vol 32 (4) ◽  
pp. 439-446 ◽  
Author(s):  
Charles Swencionis ◽  
Judith Wylie-Rosett ◽  
Michelle R. Lent ◽  
Mindy Ginsberg ◽  
Christopher Cimino ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Change ◽  
Well Being ◽  
Weight Loss Program ◽  
Cognitive Behavioral ◽  
Behavioral Weight Loss ◽  
Psychological Well Being

scholarly journals Using the Habit App for Weight Loss Problem Solving: Development and Feasibility Study (Preprint)

2018 ◽  
Author(s):  
Sherry Pagoto ◽  
Bengisu Tulu ◽  
Emmanuel Agu ◽  
Molly E Waring ◽  
Jessica L Oleski ◽  
...  
Keyword(s):  
Weight Loss ◽  
Problem Solving ◽  
Mobile Apps ◽  
Mobile App ◽  
Behavioral Weight Loss ◽  
Problem Solving Therapy ◽  
Pilot Studies ◽  
Self Monitoring ◽  
Problem Solving Skills ◽  
Automated Delivery

BACKGROUND Reviews of weight loss mobile apps have revealed they include very few evidence-based features, relying mostly on self-monitoring. Unfortunately, adherence to self-monitoring is often low, especially among patients with motivational challenges. One behavioral strategy that is leveraged in virtually every visit of behavioral weight loss interventions and is specifically used to deal with adherence and motivational issues is problem solving. Problem solving has been successfully implemented in depression mobile apps, but not yet in weight loss apps. OBJECTIVE This study describes the development and feasibility testing of the Habit app, which was designed to automate problem-solving therapy for weight loss. METHODS Two iterative single-arm pilot studies were conducted to evaluate the feasibility and acceptability of the Habit app. In each pilot study, adults who were overweight or obese were enrolled in an 8-week intervention that included the Habit app plus support via a private Facebook group. Feasibility outcomes included retention, app usage, usability, and acceptability. Changes in problem-solving skills and weight over 8 weeks are described, as well as app usage and weight change at 16 weeks. RESULTS Results from both pilots show acceptable use of the Habit app over 8 weeks with on average two to three uses per week, the recommended rate of use. Acceptability ratings were mixed such that 54% (13/24) and 73% (11/15) of participants found the diet solutions helpful and 71% (17/24) and 80% (12/15) found setting reminders for habits helpful in pilots 1 and 2, respectively. In both pilots, participants lost significant weight (P=.005 and P=.03, respectively). In neither pilot was an effect on problem-solving skills observed (P=.62 and P=.27, respectively). CONCLUSIONS Problem-solving therapy for weight loss is feasible to implement in a mobile app environment; however, automated delivery may not impact problem-solving skills as has been observed previously via human delivery. CLINICALTRIAL ClinicalTrials.gov NCT02192905; https://clinicaltrials.gov/ct2/show/NCT02192905 (Archived by WebCite at http://www.webcitation.org/6zPQmvOF2)

The Impact of Self-monitoring of Blood Glucose on a Behavioral Weight Loss Intervention for Patients With Type 2 Diabetes

2012 ◽  
Vol 39 (3) ◽  
pp. 397-405 ◽  
Author(s):  
Lisa M. McAndrew ◽  
Melissa A. Napolitano ◽  
Leonard M. Pogach ◽  
Karen S. Quigley ◽  
Kerri Leh Shantz ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Weight Loss ◽  
Blood Glucose ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Behavioral Weight Loss Intervention ◽  
The Impact

scholarly journals Binge eating predicts adherence to digital self-monitoring during behavioral weight loss

2020 ◽  
Vol 39 ◽  
pp. 101448
Author(s):  
Mary K. Martinelli ◽  
Laura D'Adamo ◽  
Meghan L. Butryn
Keyword(s):  
Weight Loss ◽  
Binge Eating ◽  
Behavioral Weight Loss ◽  
Self Monitoring
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