scholarly journals Initial Weight Loss after Restrictive Bariatric Procedures May Predict Mid-Term Weight Maintenance: Results From a 12-Month Pilot Trial

2015 ◽  
Vol 10 (2) ◽  
pp. 68-73 ◽  
Author(s):  
Marko Nikolić ◽  
Ivan Kruljac ◽  
Lora Kirigin ◽  
Gorana Mirošević ◽  
Neven Ljubičić ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Maintenance ◽  
Pilot Trial ◽  
Initial Weight ◽  
Initial Weight Loss

scholarly journals What Behaviors Are Important for Successful Weight Maintenance?

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Makiko Nakade ◽  
Naomi Aiba ◽  
Akemi Morita ◽  
Motohiko Miyachi ◽  
Satoshi Sasaki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Self Efficacy ◽  
Weight Control ◽  
Weight Maintenance ◽  
Initial Weight ◽  
Initial Weight Loss ◽  
Control Practice ◽  
One Year

Purpose. To examine behavioral factors related to successful weight maintenance.Methods. Subjects were 90 middle-aged participants who attended a weight loss program and were followed for one year. The subjects were classified into either successful weight maintainers (maintained a weight loss of 5% or more from their initial weight for one year) (SWM) or unsuccessful weight maintainers (USWM), and weight control practice, stress, obstacles, support, and self-efficacy during the program and follow-up period were compared.Results. SWM had mean loss of 12% from their initial weight during the program. They showed a greater improvement in their regularity of eating, walked more, and felt less stress regarding their increased physical activity than the USWM. During the follow-up period, significantly more SWM participants had self-efficacy (for measuring weight, practicing dietary objective, and assessing the practice and keeping records), actually kept records and measured weight more than the USWM participants. In contrast, more USWM participants felt stress about measuring weight.Conclusion. In addition to a substantial initial weight loss due to an increased amount of physical activity, having a higher self-efficacy and consistently keeping records of one's activities, as well as regularly weighing themselves, may be important for successful weight maintenance.

Abstract MP003: Development and Validation of a Prediction Model of Weight Loss Maintenance or Regain at 4 Years in the Look AHEAD Trial

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Samantha E Berger ◽  
Gordon S Huggins ◽  
Jeanne M McCaffery ◽  
Alice H Lichtenstein
Keyword(s):  
Machine Learning ◽  
Type 2 Diabetes ◽  
Weight Loss ◽  
Logistic Regression ◽  
Prediction Model ◽  
Weight Regain ◽  
Initial Weight ◽  
Initial Weight Loss ◽  
Look Ahead

Introduction: The development of type 2 diabetes is strongly associated with excess weight gain and can often be partially ameliorated or reversed by weight loss. While many lifestyle interventions have resulted in successful weight loss, strategies to maintain the weight loss have been considerably less successful. Prior studies have identified multiple predictors of weight regain, but none have synthesized them into one analytic stream. Methods: We developed a prediction model of 4-year weight regain after a one-year lifestyle-induced weight loss intervention followed by a 3 year maintenance intervention in 1791 overweight or obese adults with type 2 diabetes from the Action for Health in Diabetes (Look AHEAD) trial who lost ≥3% of initial weight by the end of year 1. Weight regain was defined as regaining <50% of the weight lost during the intervention by year 4. Using machine learning we integrated factors from several domains, including demographics, psychosocial metrics, health status and behaviors (e.g. physical activity, self-monitoring, medication use and intervention adherence). We used classification trees and stochastic gradient boosting with 10-fold cross validation to develop and internally validate the prediction model. Results: At the end of four years, 928 individuals maintained ≥50% of their initial weight lost (maintainers), whereas 863 did not met that criterion (regainers). We identified an interaction between age and several variables in the model, as well as percent initial weight loss. Several factors were significant predictors of weight regain based on variable importance plots, regardless of age or initial weight loss, such as insurance status, physical function score, baseline BMI, meal replacement use and minutes of exercise recorded during year 1. We also identified several factors that were significant predictors depending on age group (45-55y/ 56-65y/66-76y) and initial weight loss (lost 3-9% vs. ≥10% of initial weight). When the variables identified from machine learning were added to a logistic regression model stratified by age and initial weight loss groups, the models showed good prediction (3-9% initial weight loss, ages 45-55y (n=293): ROC AUC=0.78; ≥10% initial weight loss, ages 45-55y (n=242): ROC AUC=0.78; (3-9% initial weight loss, ages 56-65y (n=484): ROC AUC=0.70; ≥10% initial weight loss, ages 56-65y (n=455): ROC AUC = 0.74; 3-9% initial weight loss, ages 66-76y (n=150): ROC AUC=0.84; ≥10% initial weight loss, ages 66-76y (n=167): ROC AUC=0.86). Conclusion: The combination of machine learning methodology and logistic regression generates a prediction model that can consider numerous factors simultaneously, can be used to predict weight regain in other populations and can assist in the development of better strategies to prevent post-loss regain.

scholarly journals Applying a Common-Sense Approach to Fighting Obesity

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Jessica Y. Breland ◽  
Ashley M. Fox ◽  
Carol R. Horowitz ◽  
Howard Leventhal
Keyword(s):  
Common Sense ◽  
Weight Maintenance ◽  
Self Regulation ◽  
Initial Weight ◽  
Initial Weight Loss ◽  
Common Sense Model ◽  
Change Models ◽  
Obesity Epidemic ◽  
The Common ◽  
Sense Model

The obesity epidemic is a threat to the health of millions and to the economic viability of healthcare systems, governments, businesses, and nations. A range of answers come to mind if and when we ask, “What can we, health professionals (physicians, nurses, nutritionists, behavioral psychologists), do about this epidemic?” In this paper, we describe the Common-Sense Model of Self-Regulation as a framework for organizing existent tools and creating new tools to improve control of the obesity epidemic. Further, we explain how the Common-Sense Model can augment existing behavior-change models, with particular attention to the strength of the Common-Sense Model in addressing assessment and weight maintenance beyond initial weight loss.

scholarly journals MON-LB101 5-Year Data of an Aggressive Pharmacological Approach to Moderate and Morbid Obesity: Is Prevention of Bariatric Surgery Feasible in the Long Run?

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Flavio Cadegiani
Keyword(s):  
Bariatric Surgery ◽  
Morbid Obesity ◽  
Weight Loss ◽  
Body Weight ◽  
Weight Regain ◽  
Morbidly Obese ◽  
Biochemical Profile ◽  
Initial Weight ◽  
Initial Weight Loss

Abstract Background: Maintenance of weight loss in patients that undergo weight loss interventions is highly challenging, irrespective of the type of approach to obesity (whether surgical, pharmacological, or non-pharmacological). We proposed a protocol of an aggressive clinical treatment for obesity aiming to prevent the need of bariatric surgery, in patients unwilling to undergo this procedure, by proposing a protocol that included the combination of different anti-obesity medications and non-pharmacological modalities, for longer duration, and with an active approach to prevent weight regain. Our initial 2-year data showed that 93% (40 of 43 patients) with moderate and morbid obesity were able to avoid the need of bariatric surgery, with concomitant improvements of the biochemical profile. However, whether these patients would maintain their successful rates after five years was uncertain. Our objective is to describe the efficacy and safety of a long term (5-year data) pharmacological and multi-modal treatment for moderate and severe obesity. Methods: The 40 patients that were successful in the two-year approach in our obesity center (Corpometria Institute, Brasilia, DF, Brazil) were enrolled. A long-term anti-obesity protocol was employed, with continuous or intermittent use of anti-obesity drugs, trimestral body composition analysis, psychotherapy, visit to a nutritionist every four months, and both resistance and endurance exercises at least four times a week. Body weight (BW), total weight excess (TWE), body fat, markers of lipid and glucose metabolism, liver function, and inflammation were analyzed. Subjects that dropped out were considered as weight regain. Therapeutic success for the 5-year follow-up included as the maintenance of &gt;20% loss of the initial BW loss, and no weight regain (or &lt; 20% of the initial weight loss). Results: A total of 27 patients (67.5%) were able to maintain the body weight, seven dropped out, and six regained more than 20% of the initial weight loss. Of these, 21 (77.8%) had significant further increase of muscle mass and decrease of fat loss, while 17 (63.0%) had further weight loss (p &lt; 0.05), compared to the 2-year data. Improvements on the biochemical profile persisted in all 27 patients, and had significant further improvements in 24 (88.9%) of these patients. Conclusion: The risk of weight regain five years after a weight loss treatment for obesity was significantly lower compared to previous literature, and comparable to the long-term outcomes of bariatric procedures. An aggressive, structured, and long-term clinical weight loss approach has been shown to be feasible, even for morbidly obese patients.

scholarly journals Two‐year treatment programme showed that younger age and initial weight loss predicted better results in overweight and obese children aged 2‐16 years

2020 ◽  
Vol 109 (8) ◽  
pp. 1649-1655
Author(s):  
Sina Dalby ◽  
Signe Vahlkvist ◽  
Inge Østergaard ◽  
Joan Park Jørgensen ◽  
Claus Bogh Juhl
Keyword(s):  
Weight Loss ◽  
Treatment Programme ◽  
Obese Children ◽  
Initial Weight ◽  
Initial Weight Loss ◽  
Younger Age
Sign in / Sign up

Export Citation Format

Share Document