Psychological and Demographic Predictors of Successful Weight Loss following Silastic Ring Vertical Stapled Gastroplasty

2000 ◽  
Vol 86 (3) ◽  
pp. 1028-1036 ◽  
Author(s):  
Jennifer L. Rowe ◽  
Jerrold E. Downey ◽  
Mark Faust ◽  
Myron J. Horn
Keyword(s):  
Weight Loss ◽  
Age Of Onset ◽  
Demographic Variables ◽  
Silastic Ring ◽  
Personality Variables ◽  
Postoperative Assessment ◽  
Successful Weight Loss ◽  
Predictors Of Weight Loss ◽  
Larger Sample ◽  
Millon Behavioral Health Inventory

To identify psychological factors involved in obesity 45 individuals (40 women and 5 men), ranging in age from 21 to 54 years ( M age = 41 yr.), who were candidates for silastic ring vertical stapled gastroplasty were assessed on the Millon Behavioral Health Inventory and the Millon Multiaxial Clinical Inventory-III. In addition, a number of demographic variables such as education, marital status, and age of onset of obesity were considered. Analysis indicated that significant predictors of weight loss at a 6-mo. postoperative assessment include age of onset of obesity and scores on the Schizoid scale of the Millon-III. These findings may be of assistance in identifying personality variables associated with changes in weight if replicated in a larger sample.

scholarly journals Gut Microbiota Are Predictive of Coach-Directed Behavioral Weight Loss Success over 6 Months in Randomized Trial

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1556-1556
Author(s):  
Moira Differding ◽  
Jessica Yeh ◽  
Nisa Maruthur ◽  
Stephen Juraschek ◽  
Edgar Miller ◽  
...  
Keyword(s):  
Weight Loss ◽  
Random Forest ◽  
Gut Microbiota ◽  
Lifestyle Modification ◽  
Random Forest Model ◽  
Behavioral Weight Loss ◽  
Forest Model ◽  
Predict Weight Loss ◽  
Successful Weight Loss ◽  
Predictors Of Weight Loss

Abstract Objectives Several studies have demonstrated human gut microbiota are involved in energy balance and obesity, but little is known on how it may influence weight loss efforts. The objective of this study is to determine whether features of the gut microbiota predict weight loss at 6 months in participants enrolled in a trial of coach-directed behavioral weight loss. Methods We used baseline clinical and microbiome data to predict 6-month weight loss in participants (n = 36) randomized to a coach-directed weight loss program that included diet and lifestyle modification. We sequenced the microbial 16S rRNA V4 region of stool samples collected at baseline and assigned reads into amplicon sequence variants (ASVs). Successful weight loss was defined as >5% weight loss from baseline to 6 months. We first used Variable Selection Using Random Forests (VSURF) on 571 ASVs that were present in >10% of samples, measures of alpha diversity (observed species and Shannon index), along with sex, age, BMI, and race to identify the strongest predictors of weight loss. The features selected by VSURF were then included with clinical characteristics in a final leave-one-out cross-validated random forest model to predict weight loss. We used log Poisson regression models with robust variance estimates to assess the direction and significance (FDR P < 0.05) of each predictor's association with weight loss. Results After 6 months of coach-directed behavioral weight loss, 12 (33%) participants met the goal of losing >5% of their baseline weight. VSURF selected 30 bacterial ASVs for model interpretation. Sex, age, BMI, and race were not selected by VSURF, and when these participant characteristics were forced into the model, they were ranked last. Our final cross-validated random forest model had a kappa of 0.73 (out-of-bag error = 13.9%) for classifying 5% weight loss. Among the top predictors were ASVs from the Ruminococcaceae family (lower with weight loss; FDR P < 0.05), Eubacterium coprostanoligenes (higher with weight loss; FDR P < 0.05). Conclusions Gut microbiota sequencing improved prediction of successful weight loss. The top predictors of weight loss included bacteria that produce butyrate, secondary bile acids, and succinate, adding support to the hypothesis that gut microbiome composition may influence weight loss efforts. Funding Sources NHLBI.

scholarly journals Patient Factors Predicting Weight Loss after Roux-en-Y Gastric Bypass

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Linda Sillén ◽  
Ellen Andersson
Keyword(s):  
Weight Loss ◽  
Gastric Bypass ◽  
Psychiatric Disorder ◽  
Excess Weight Loss ◽  
Age Of Onset ◽  
Patient Factors ◽  
Successful Weight Loss ◽  
One Year ◽  
Preoperative Factors

Objective. The purpose of this study was to identify preoperative factors predicting weight loss following Roux-en-Y gastric bypass (RYGB) surgery. Material and Methods. 281 patients subjected to RYGB between January 2006 and June 2012 were included. Demographic, physical, and socioeconomic factors were assessed with regression analysis. Dependent variable was percent of excess weight loss (% EWL) at follow-up. Results. Follow-up data at one year was available in 96%, at two years in 88%, and at three years in 65% of the patients. Mean EWL was 72.5%. The success rate (defined as ≥60% EWL) at 1 year was 73% and at 2 years 74% and was 71% after 3 years. An earlier onset of obesity and high preoperative BMI were independently associated with unsuccessful weight loss at 1-year follow-up. At 2-year follow-up, an association between unsuccessful weight loss and psychiatric disorder, diabetes, hypertension, and preoperative BMI was seen. At 3-year follow-up no statistically significant associations were detected. Conclusions. RYGB provides successful weight loss for most patients. The results from this study indicate that an earlier age of onset of obesity, high preoperative BMI, psychiatric disorder, diabetes, and hypertension are associated with unsuccessful weight loss.

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.

Five-year Outcomes of Sleeve Gastrectomy: A Prospective Multicenter study

2021 ◽  
pp. 000313482199198
Author(s):  
Imad El Moussaoui ◽  
Etienne Van Vyve ◽  
Hubert Johanet ◽  
André Dabrowski ◽  
Arnaud Piquard ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Loss ◽  
Sleeve Gastrectomy ◽  
Body Mass ◽  
Excess Weight Loss ◽  
Prospective Multicenter Study ◽  
Weight Loss Failure ◽  
Obstructive Sleep ◽  
The Mean ◽  
Predictors Of Weight Loss

Background Sleeve gastrectomy (SG) is the most frequently performed bariatric procedure in the world. Our purpose was to evaluate the percentage of excess weight loss (%EWL), resolution of obesity-related comorbidities after SG, and identify predictive factors of weight loss failure. Methods A prospective cohort study of adults who underwent SG during 2014 in 7 Belgian-French centers. Their demographic, preoperative, and postoperative data were prospectively collected and analyzed statistically. Results Overall, 529 patients underwent SG, with a mean preoperative weight and body mass index (BMI) of 118.9 ± 19.9 kg and 42.9 ± 5.5 kg/m2, respectively. Body mass index significantly decreased to 32.2 kg/m2 at 5 years ( P < .001). The mean %EWL was 63.6% at 5 years. A significant reduction in dyslipidemia (28.0%-18.2%), obstructive sleep apnea (OSAS) (34.6%-25.1%), and arterial hypertension (HTN) (30.4%-21.5%) was observed after 5 years, but not for diabetes and gastroesophageal reflux disease (GERD). At multivariate analysis, age >50 years old, BMI >50 kg/m2, and previous laparoscopic adjustable gastric banding (LAGB) remained independent predictors of weight loss failure. Conclusions Five years after SG, weight loss was satisfactory; the reduction of comorbidities was significant for dyslipidemia, OSAS, and HTN, but not diabetes and GERD. Age >50 years old, BMI >50 kg/m2, and previous LAGB were independent predictors of weight loss failure.

scholarly journals Are Men More Intuitive When It Comes to Eating and Physical Activity?

2011 ◽  
Vol 6 (2) ◽  
pp. 164-171 ◽  
Author(s):  
Julie Gast ◽  
Hala Madanat ◽  
Amy Campbell Nielson
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Weight Loss ◽  
Intrinsic Motivation ◽  
Weight Management ◽  
Body Mass ◽  
Demographic Variables ◽  
Intuitive Eating ◽  
Lower Body ◽  
Behavioral Regulation

The purpose of this study was to determine where men fall on the motivation continuum based on intuitive eating status and if motivation for physical activity and intuitive eating are correlated. Results indicate that being an intuitive eater was associated with a lower body mass index. In terms of demographic variables, as age increased, intuitive eating status decreased and body mass index increased. Men scored high on the antidieting and self-care subscales of the Intuitive Eating Scale. Men who were classified as intuitive eaters scored higher on the external and introjected regulation of the Behavioral Regulation in Exercise Questionnaire but no significant differences were reported by eating status and the identified and intrinsic motivation subscales. Intuitive eating holds promise as a weight management and weight loss tool for men. Intuitive eating may also influence initial motivation for physical activity for men.

scholarly journals Predictors of Weight Loss Maintenance following an Insurance-Sponsored Weight Management Program

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Christiaan G. Abildso ◽  
Olivier Schmid ◽  
Megan Byrd ◽  
Sam Zizzi ◽  
Alessandro Quartiroli ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Management ◽  
Weight Loss Maintenance ◽  
The United States ◽  
Management Program ◽  
Weight Management Program ◽  
Post Intervention ◽  
Physically Active ◽  
Intentional Weight Loss ◽  
Predictors Of Weight Loss

Intentional weight loss among overweight and obese adults (body mass index ≥ 25 kg/m2) is associated with numerous health benefits, but weight loss maintenance (WLM) following participation in weight management programming has proven to be elusive. Many individuals attempting to lose weight join formal programs, especially women, but these programs vary widely in focus, as do postprogram weight regain results. We surveyed 2,106 former participants in a community-based, insurance-sponsored weight management program in the United States to identify the pre, during, and post-intervention behavioral and psychosocial factors that lead to successful WLM. Of 835 survey respondents (39.6% response rate), 450 met criteria for inclusion in this study. Logistic regression analyses suggest that interventionists should assess and discuss weight loss and behavior change perceptions early in a program. However, in developing maintenance plans later in a program, attention should shift to behaviors, such as weekly weighing, limiting snacking in the evening, limiting portion sizes, and being physically active every day.

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