Weight Changes after Vertical Banded Gastroplication

2005 ◽  
Vol 50 (2) ◽  
pp. 58-60
Author(s):  
J J Lara ◽  
L Murray ◽  
R Carter ◽  
R Stuart ◽  
M E J Lean
Keyword(s):  
Weight Loss ◽  
Surgical Treatment ◽  
Weight Change ◽  
Weight Regain ◽  
Liquid Diet ◽  
Weight Changes ◽  
Initial Weight ◽  
Initial Weight Loss

Aims: This study assessed the patterns of weight change in response to surgical treatment for obesity. Methods: Vertical Banded Gastroplication (VBG) was performed during the period 1994–2000. Patients were required to follow a liquid diet (8oo kcals) for 12 weeks before surgery. The same diet plus a multivitamin capsule (Forceval) was followed for 12 weeks postoperatively, after which normal foods were introduced. Data from 23 patients, 16 women and 7 men, aged 33–63 years (mean, SD; 42±8yrs), with BMI from 38 to 69 kg/m2 (52.5 ± 8.1 kg/m2) at the time of the surgery were available for analysis. Follow up was 3 to 7 years (mean 4 years). Results: An initial weight loss of 44.4 ± 24.3 kg (min 11.5, max 110.5 kg) was reached during the first two years (mean BMI decrease 15.8 kg/m2). However a regain in weight (36% of the initial weight loss = 5.6 kg/m2) up to 3 to 7 years after surgery was usual. Average annual regain was 13.6 kg (n=17), 9.45 kg (n=11) and 0.8 kg (n=8) during the 3rd, 4th and 5th year after surgery). Five participants reached a BMI below 30 but only one, BMI<25, has maintained all the weight loss after 5 years. Conclusions: Weight loss following VBG ceased after two years with a subsequent substantial weight regain. Auxiliary therapies to counteract weight regain are necessary after VBG.

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 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.

Patterns of Weight Change: The Interval 6 to 10 Years after Initial Weight Loss in a Cognitive-Behavioral Treatment Program

1985 ◽  
Vol 57 (1) ◽  
pp. 195-203 ◽  
Author(s):  
Henry A. Jordan ◽  
Arlene J. Canavan ◽  
Robert A. Steer
Keyword(s):  
Weight Loss ◽  
Treatment Program ◽  
Weight Change ◽  
Behavioral Treatment ◽  
Cognitive Behavioral ◽  
Cognitive Behavioral Treatment ◽  
Weight Changes ◽  
Initial Weight Loss ◽  
The Past ◽  
Weight Losses

29 men and 82 women who had achieved at least a 15-lb. weight loss in a 20-wk. cognitive-behavioral treatment program for obesity were asked 6 to 10 yr. after treatment about their current weights and January 1 weights for the past five years. Four types of weight change indices were then developed to ascertain whether or not the patients had maintained their postprogram weight losses since leaving treatment. Comparisons of pre- and postprogram mean weight differences indicated that the patients had gained an average of 7.15 lb. (3.24 kg) by 1983, but there had not been a mean increase in weight since an earlier follow-up in 1978. Importantly, 32.4% reported 1983 weights below their postprogram weights, and there were no mean differences between the sexes with respect to weight changes for either 1978 or 1983. A weight index based upon percentages of weight gain since leaving treatment indicated that 40.5% had gained back more than 67% of weight that they had lost during treatment. Inspection of 90 patients' weight fluctuations over the past five years above or below their postprogram weights showed 25 distinct patterns. Each of the four weight-change indices gave different perspectives about the patients' abilities to manage their weights over time. The complexity of employing different weight-change indices for evaluating the long-term efficacy of cognitive-behavioral treatment programs for obesity was discussed.

scholarly journals Metabolic adaptation is an illusion, only present when participants are in negative energy balance

2020 ◽  
Vol 112 (5) ◽  
pp. 1212-1218 ◽  
Author(s):  
Catia Martins ◽  
Jessica Roekenes ◽  
Saideh Salamati ◽  
Barbara A Gower ◽  
Gary R Hunter
Keyword(s):  
Weight Loss ◽  
Energy Balance ◽  
Weight Regain ◽  
Resting Metabolic Rate ◽  
Negative Energy ◽  
Metabolic Adaptation ◽  
Initial Weight Loss ◽  
Maintenance Program

ABSTRACT Background The existence of metabolic adaptation, following weight loss, remains a controversial issue. To our knowledge, no study has evaluated the role of energy balance (EB) in modulating metabolic adaptation. Objectives The aim of this study was to determine if metabolic adaptation, at the level of resting metabolic rate (RMR), is modulated by participants’ EB status. A secondary aim was to investigate if metabolic adaptation was associated with weight regain. Methods Seventy-one individuals with obesity (BMI: 34.6 ± 3.4 kg/m2; age: 45.4 ± 8.2 y; 33 men) enrolled in a 1000-kcal/d diet for 8 wk, followed by 4 wk of weight stabilization and a 9-mo weight loss maintenance program. Body weight/composition and RMR were measured at baseline, week 9 (W9), week 13 (W13), and 1 y (1Y). Metabolic adaptation was defined as a significantly different (lower or higher) measured compared with predicted RMR. Results Participants lost on average 14 kg by W9, followed by weight stabilization at W13, and regained 29% of their initial weight loss at 1Y. Metabolic adaptation was found at W9 (−92 ± 110 kcal/d, P &lt; 0.001) and W13 (−38 ± 124 kcal/d, P = 0.011) but was not correlated with weight regain. A significant reduction in metabolic adaptation was seen between W9 and W13 (−53 ± 101 kcal/d, P &lt; 0.001). In a subset of participants who gained weight between W9 and W13 (n = 33), no metabolic adaptation was seen at W13 (−26.8 ± 121.5 kcal/d, P = 0.214). In a subset of participants with data at all time points (n = 45), metabolic adaptation was present at W9 and W13 (−107 ± 102 kcal/d, P &lt; 0.001 and −49 ± 128 kcal/d, P = 0.013) but not at 1Y (−7 ± 129, P = 0.701). Conclusion After weight loss, metabolic adaptation at the level of RMR is dependent on the EB status of the participants, being reduced to half after a period of weight stabilization. Moreover, metabolic adaptation does not predict weight regain at 1Y follow-up. These trials were registered at clinicaltrials.gov as NCT02944253 and NCT03287726.

scholarly journals Communication between patients and primary care physicians after behavioural weight loss: an observational study

2019 ◽  
Vol 20 ◽  
Author(s):  
Jocelyn E. Remmert ◽  
Adam G. Tsai ◽  
Savannah R. Roberts ◽  
Meghan L. Butryn
Keyword(s):  
Blood Pressure ◽  
Primary Care ◽  
Weight Loss ◽  
Observational Study ◽  
Primary Care Physicians ◽  
Weight Changes ◽  
Initial Weight ◽  
Initial Weight Loss ◽  
Care Appointment ◽  
Primary Care Appointment

Abstract Primary care physicians can play a key role in supporting patients after behavioural weight loss, though little is known about communication between patients and physicians during this time. Adults (n=139) in a behavioural weight loss trial (delivered outside of primary care) who attended a primary care appointment after an initial weight loss period were surveyed to assess weight-related communication at their most recent appointment. Most participants (78%) reported discussing weight with their physician. Participants who discussed weight, compared to those who did not, lost more weight, had higher blood pressure, and were more likely to be male. Most (89%) reported that their physician was supportive of their weight loss, but only a few participants (6.9%) reported that their physician gave feedback on medical parameters. Areas for improvement identified include physicians providing universal support for modest weight changes and providing interpretation of medical measurements that changed due to weight loss.

scholarly journals Improvements in Long-Term Appetite-Regulating Hormones in Response to a Combined Lifestyle Intervention for Obesity

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A489-A490
Author(s):  
Susanne Kuckuck
Keyword(s):  
Weight Loss ◽  
Lifestyle Intervention ◽  
Weight Regain ◽  
Initial Weight ◽  
Short Term ◽  
Initial Weight Loss ◽  
Hormone Levels ◽  
Adiposity Signals ◽  
Term Energy

Abstract Altered levels of hormonal appetite regulators have been observed in obesity (BMI ≥ 30.0 kg/m2), most prominently increases of insulin and leptin (indicating resistance) as well as decreases of adiponectin - all of which are long-term energy regulators and adiposity signals. Disrupted signaling of these hormones may have detrimental effects on metabolism, but may also promote weight gain. Weight loss is often accompanied by normalizations of long-term adiposity signals, but findings concerning short-term appetite regulators after weight loss vary across interventions (e.g. very low calorie diets vs. exercise). Moreover, it is debated whether such weight-loss-induced hormonal changes may reflect a disposition for weight regain. Here, we investigated changes of long- and short-term appetite signals in response to an intensive 75-week combined lifestyle intervention (CLI) comprising a normocaloric healthy diet, physical activity and psychotherapy to promote improved long-term weight management. For 39 patients, data on fasting serum levels of appetite-regulating hormones (leptin, insulin, adiponectin, GIP, PP, PYY, CCK, FGF21) were available. Hormone levels were correlated to BMI at baseline (T0) and compared across three time points: T0, T1 (after 10 weeks; initial weight loss) and T2 (after 75 weeks; weight loss maintenance). T0-T1 hormone changes were correlated to BMI changes between T1 and T2 to investigate whether hormonal alterations during initial weight loss are associated with weight regain. At T0, hormone levels were not associated with BMI. BMI decreased significantly from T0 (40.13 kg/m2 ± 5.7) to T1 (38.2 ± 5.4, p &lt; .001) which was maintained at T2 (38.2 kg/m2 ± 5.9, p &lt; .001). There were no significant changes in GIP, PP, PYY, CCK and FGF21. Leptin decreased from T0 (44.9 ng/nl ± 15.3) to T1 (33 ng/nl ± 14.8, p &lt; .001) and T2 (38.6 ng/nl ± 16.0, p &lt; .01), just like insulin which was significantly decreased at T1 (123 pmol/l ± 65, p &lt; .05) and T2 (128 pmol/l ± 64, p &lt; .05) compared to T0 (160 pmol/l ± 80). Adiponectin did not change between T0 (3.36 ug/ml ± 2.1) and T1 (3.2 ug/ml ± 2.1), but was increased at T2 (3.7 ug/ml ± 2.9, p &lt; .01) compared to T1. T0-T2 BMI decrease correlated positively with T0-T2 decreases in leptin (r = .667, p &lt; .001), insulin (rho = .535, p &lt; .001) and increases of adiponectin (r = .412, p &lt; .01), but no other hormone. T0-T1 hormone changes did not predict T1-T2 BMI changes. Thus, a 75-week CLI was associated with beneficial changes in the long-term energy regulators adiponectin, leptin and insulin, but no changes in short-term appetite-regulating hormones were observed despite significant weight loss. Initial changes in appetite-regulating hormones were not associated with subsequent weight regain. Overall, our data suggest that a CLI does not lead to adverse changes in appetite regulation, but rather long-term improvements such as e.g. increased leptin and insulin sensitivity.

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.

scholarly journals Association of weight change with cerebrospinal fluid biomarkers and amyloid positron emission tomography in preclinical Alzheimer’s disease

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Oriol Grau-Rivera ◽  
◽  
Irene Navalpotro-Gomez ◽  
Gonzalo Sánchez-Benavides ◽  
Marc Suárez-Calvet ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Weight Loss ◽  
Cerebrospinal Fluid ◽  
Weight Change ◽  
Emission Tomography ◽  
Link Type ◽  
Preclinical Ad ◽  
Positron Emission ◽  
T Tau

Abstract Background Recognizing clinical manifestations heralding the development of Alzheimer’s disease (AD)-related cognitive impairment could improve the identification of individuals at higher risk of AD who may benefit from potential prevention strategies targeting preclinical population. We aim to characterize the association of body weight change with cognitive changes and AD biomarkers in cognitively unimpaired middle-aged adults. Methods This prospective cohort study included data from cognitively unimpaired adults from the ALFA study (n = 2743), a research platform focused on preclinical AD. Cognitive and anthropometric data were collected at baseline between April 2013 and November 2014. Between October 2016 and February 2020, 450 participants were visited in the context of the nested ALFA+ study and underwent cerebrospinal fluid (CSF) extraction and acquisition of positron emission tomography images with [18F]flutemetamol (FTM-PET). From these, 408 (90.1%) were included in the present study. We used data from two visits (average interval 4.1 years) to compute rates of change in weight and cognitive performance. We tested associations between these variables and between weight change and categorical and continuous measures of CSF and neuroimaging AD biomarkers obtained at follow-up. We classified participants with CSF data according to the AT (amyloid, tau) system and assessed between-group differences in weight change. Results Weight loss predicted a higher likelihood of positive FTM-PET visual read (OR 1.27, 95% CI 1.00–1.61, p = 0.049), abnormal CSF p-tau levels (OR 1.50, 95% CI 1.19–1.89, p = 0.001), and an A+T+ profile (OR 1.64, 95% CI 1.25–2.20, p = 0.001) and was greater among participants with an A+T+ profile (p < 0.01) at follow-up. Weight change was positively associated with CSF Aβ42/40 ratio (β = 0.099, p = 0.032) and negatively associated with CSF p-tau (β = − 0.141, p = 0.005), t-tau (β = − 0.147 p = 0.004) and neurogranin levels (β = − 0.158, p = 0.002). In stratified analyses, weight loss was significantly associated with higher t-tau, p-tau, neurofilament light, and neurogranin, as well as faster cognitive decline in A+ participants only. Conclusions Weight loss predicts AD CSF and PET biomarker results and may occur downstream to amyloid-β accumulation in preclinical AD, paralleling cognitive decline. Accordingly, it should be considered as an indicator of increased risk of AD-related cognitive impairment. Trial registration NCT01835717, NCT02485730, NCT02685969.

Short-Term Results of Single-Anastomosis Gastric Bypass After Failed Sleeve Gastrectomy

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Alaa Abbas Sabry ◽  
Karim Sabry Abd-Elsamee ◽  
Mohamed Ibrahim Mohamed ◽  
Mohammed Mohamed Ahmed Abd-Elsalam
Keyword(s):  
Weight Loss ◽  
Gastric Bypass ◽  
Sleeve Gastrectomy ◽  
Weight Regain ◽  
Revisional Surgery ◽  
One Anastomosis Gastric Bypass ◽  
Short Term ◽  
Multicenter Studies ◽  
Metabolic Outcomes

Abstract Background It is already known that Laparoscopic sleeve gastrectomy (LSG) has gained popularity as a stand-alone procedure with good short-term results for weight loss. However, in the long-term, weight regain is considered as a complication. Demand for secondary surgery is rising, partly for this reason, but through that study we try to discover the efficacy of conversion of failed sleeve gastrectomy to one anastomosis gastric bypass (OAGB) regarding weight loss and metabolic outcomes. Objective To asses the efficacy and safety of one anastomosis gastric bypass (OAGB) as a conversion surgery post Sleeve Gastrectomy failure as regard weight loss and metabolic outcomes. Patients and Methods This study is a retrospective cohort study which included 20 patients underwent one anastomosis gastric bypass at Ain-Shams University El-Demerdash Hospital, Cairo, Egypt and specialized bariatric center, Cairo, Egypt From February 2019 to July 2019 with 6 months of postoperative follow up till January 2019. Results In this study, we reviewed and analyzed the outcomes from the revision of the SG due to either inadequate weight loss or weight regain to one anastomosis gastric bypass (OAGB) with %EBWL of 6.65% at 1 month, 13.61 % at 3 months and 20.86% at 6 months. Conclusion OAGB appears to be an effective and safe therapeutic technique as a revisional surgery for failed primary SG with good short-term results for treating morbid obesity and its associated comorbidities with a significantly low rate of complications. However the EBWL was less than what is reported after primary OAGB weight. Multicenter studies with larger series of patients and longer term follow up after SG revisions to OAGB are warranted.

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