scholarly journals Psychological Predictors of Weight Loss Success Following Roux-en-Y Gastric Bypass

2017 ◽  
Vol 3 (3) ◽  
Author(s):  
Hazem N Shamseddeen
Keyword(s):  
Weight Loss ◽  
Gastric Bypass ◽  
Psychological Predictors ◽  
Predictors Of Weight Loss ◽  
Weight Loss Success

IH-108 Psychological predictors of weight loss success following roux-en-y gastric bypass

2011 ◽  
Vol 7 (3) ◽  
pp. 361-362
Author(s):  
Hazem Shamseddeen ◽  
Jorge L. Zelada Getty ◽  
Isam Hamdallah ◽  
Mohamed Ali
Keyword(s):  
Weight Loss ◽  
Gastric Bypass ◽  
Psychological Predictors ◽  
Predictors Of Weight Loss ◽  
Weight Loss Success

Behavioral Factors Associated with Successful Weight Loss after Gastric Bypass

2010 ◽  
Vol 76 (10) ◽  
pp. 1139-1142 ◽  
Author(s):  
Masha Livhits ◽  
Cheryl Mercado ◽  
Irina Yermilov ◽  
Janak A. Parikh ◽  
Erik Dutson ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Weight Loss ◽  
Gastric Bypass ◽  
Support Groups ◽  
Preoperative Body Mass Index ◽  
Patients At Risk ◽  
Successful Weight Loss ◽  
Predictors Of Weight Loss ◽  
Weight Loss Success

Patients undergoing bariatric surgery lose substantial weight (≥50% excess weight loss [EWL]), but an estimated 20 per cent fail to achieve this goal. Our objective was to identify behavioral predictors of weight loss after laparoscopic Roux-en-Y gastric bypass. We retrospectively surveyed 148 patients using validated instruments for factors predictive of weight loss. Success was defined as ≥50 per cent EWL and failure as <50 per cent EWL. Mean follow-up after laparoscopic Roux-en-Y gastric bypass was 40.1 ± 15.3 months, with 52.7 per cent of patients achieving successful weight loss. After controlling for age, gender, and preoperative body mass index, predictors of successful weight loss included surgeon follow-up (odds ratio [OR] 8.2, P < 0.01), attendance of postoperative support groups (OR 3.7, P = 0.02), physical activity (OR 3.5, P < 0.01), single or divorced marital status (OR 3.2, P = 0.03), self-esteem (OR 0.3, P = 0.02), and binge eating (OR 0.9, P < 0.01). These factors should be addressed in prospective studies of weight loss after bariatric surgery, as they may identify patients at risk for weight loss failure who may benefit from early tailored interventions.

Psychological predictors of weight loss after bariatric surgery: A review of the recent research

2014 ◽  
Vol 8 (4) ◽  
pp. e299-e313 ◽  
Author(s):  
Cathrine L. Wimmelmann ◽  
Flemming Dela ◽  
Erik L. Mortensen
Keyword(s):  
Bariatric Surgery ◽  
Weight Loss ◽  
Psychological Predictors ◽  
Predictors Of Weight Loss

scholarly journals Dietary and psych predictors of weight loss after gastric bypass

2015 ◽  
Vol 197 (2) ◽  
pp. 283-290 ◽  
Author(s):  
Benjamin Fox ◽  
Ellie Chen ◽  
Andrew Suzo ◽  
Sally Jolles ◽  
Jacob A. Greenberg ◽  
...  
Keyword(s):  
Weight Loss ◽  
Gastric Bypass ◽  
Predictors Of Weight Loss

scholarly journals Predictors of weight loss success. Exercise vs. dietary self-efficacy and treatment attendance

Appetite ◽  
2012 ◽  
Vol 58 (2) ◽  
pp. 695-698 ◽  
Author(s):  
Shannon Byrne ◽  
Danielle Barry ◽  
Nancy M. Petry
Keyword(s):  
Weight Loss ◽  
Self Efficacy ◽  
Treatment Attendance ◽  
Predictors Of Weight Loss ◽  
Weight Loss Success

scholarly journals Expert Coaching in Weight Loss: Retrospective Analysis (Preprint)

2017 ◽  
Author(s):  
Stefanie Lynn Painter ◽  
Rezwan Ahmed ◽  
Robert F Kushner ◽  
James O Hill ◽  
Richard Lindquist ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Loss Program ◽  
Weight Loss Outcome ◽  
Web Based ◽  
Coaching Session ◽  
Session Attendance ◽  
Baseline Weight ◽  
Expert Coaching ◽  
Predictors Of Weight Loss ◽  
Weight Loss Success

BACKGROUND Providing coaches as part of a weight management program is a common practice to increase participant engagement and weight loss success. Understanding coach and participant interactions and how these interactions impact weight loss success needs to be further explored for coaching best practices. OBJECTIVE The purpose of this study was to analyze the coach and participant interaction in a 6-month weight loss intervention administered by Retrofit, a personalized weight management and Web-based disease prevention solution. The study specifically examined the association between different methods of coach-participant interaction and weight loss and tried to understand the level of coaching impact on weight loss outcome. METHODS A retrospective analysis was performed using 1432 participants enrolled from 2011 to 2016 in the Retrofit weight loss program. Participants were males and females aged 18 years or older with a baseline body mass index of ≥25 kg/m², who also provided at least one weight measurement beyond baseline. First, a detailed analysis of different coach-participant interaction was performed using both intent-to-treat and completer populations. Next, a multiple regression analysis was performed using all measures associated with coach-participant interactions involving expert coaching sessions, live weekly expert-led Web-based classes, and electronic messaging and feedback. Finally, 3 significant predictors (P<.001) were analyzed in depth to reveal the impact on weight loss outcome. RESULTS Participants in the Retrofit weight loss program lost a mean 5.14% (SE 0.14) of their baseline weight, with 44% (SE 0.01) of participants losing at least 5% of their baseline weight. Multiple regression model (R2=.158, P<.001) identified the following top 3 measures as significant predictors of weight loss at 6 months: expert coaching session attendance (P<.001), live weekly Web-based class attendance (P<.001), and food log feedback days per week (P<.001). Attending 80% of expert coaching sessions, attending 60% of live weekly Web-based classes, and receiving a minimum of 1 food log feedback day per week were associated with clinically significant weight loss. CONCLUSIONS Participant’s one-on-one expert coaching session attendance, live weekly expert-led interactive Web-based class attendance, and the number of food log feedback days per week from expert coach were significant predictors of weight loss in a 6-month intervention.

scholarly journals Predictors of weight loss outcomes in obesity care: results of the national ACTION study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Nikhil V. Dhurandhar ◽  
◽  
Theodore Kyle ◽  
Boris Stevenin ◽  
Kenneth Tomaszewski
Keyword(s):  
Weight Loss ◽  
Online Survey ◽  
Logistic Models ◽  
Weight Changes ◽  
Link Type ◽  
Weight History ◽  
Sustained Weight Loss ◽  
Predictors Of Weight Loss ◽  
Changes Over Time ◽  
Weight Loss Success

Abstract Background A key objective of this study was to examine obesity care attitudes and behaviors of people with obesity (PwO) and determine independent factors associated with a self-reported sustained weight loss success outcome. Methods An online survey was conducted in 2015 among 3008 U.S. adult PwO (BMI > 30 through self-reported height and weight). Multivariate logistic models explained variation in weight loss success, defined as ≥ 10% weight loss in previous 3 years and maintained for > 1 year. Results Controlling for weight changes over time, we found significant associations between self-reported weight history and weight loss success. PwO who had personal motivation to lose weight, were willing to talk to a diabetes educator about their weight, who had their weight loss attempts recognized by a healthcare provider, and were diagnosed with “obesity” or “overweight” were more likely to report having success losing weight. Conclusions This study does not determine causality, but suggests motivation and engagement with PwO may impact weight loss, and presents a basis for assessing the mechanism involved. Determining such mechanisms may identify important targets to improve obesity treatment outcomes. Trial registration This study is registered with ClinicalTrials.gov, number NCT03223493, https://clinicaltrials.gov/ct2/show/NCT03223493. Registered July 17, 2017 (retrospectively registered).

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