scholarly journals Weight Loss Maintenance: Have We Missed the Brain?

2018 ◽  
Vol 8 (9) ◽  
pp. 174 ◽  
Author(s):  
Dimitrios Poulimeneas ◽  
Mary Yannakoulia ◽  
Costas Anastasiou ◽  
Nikolaos Scarmeas

Even though obese individuals often succeed with weight loss, long-term weight loss maintenance remains elusive. Dietary, lifestyle and psychosocial correlates of weight loss maintenance have been researched, yet the nature of maintenance is still poorly understood. Studying the neural processing of weight loss maintainers may provide a much-needed insight towards sustained obesity management. In this narrative review, we evaluate and critically discuss available evidence regarding the food-related neural responses of weight loss maintainers, as opposed to those of obese or lean persons. While research is still ongoing, available data indicate that following weight loss, maintainers exhibit persistent reward related feeling over food, similar to that of obese persons. However, unlike in obese persons, in maintainers, reward-related brain activity appears to be counteracted by subsequently heightened inhibition. These findings suggest that post-dieting, maintainers acquire a certain level of cognitive control which possibly protects them from weight regaining. The prefrontal cortex, as well as the limbic system, encompass key regions of interest for weight loss maintenance, and their contributions to long term successful weight loss should be further explored. Future possibilities and supportive theories are discussed.

2018 ◽  
Vol 108 (4) ◽  
pp. 658-666 ◽  
Author(s):  
Danielle M Ostendorf ◽  
Edward L Melanson ◽  
Ann E Caldwell ◽  
Seth A Creasy ◽  
Zhaoxing Pan ◽  
...  

Abstract Background Evidence in humans is equivocal in regards to whether resting energy expenditure (REE) decreases to a greater extent than predicted for the loss of body mass with weight loss, and whether this disproportionate decrease in REE persists with weight-loss maintenance. Objectives We aimed to1) determine if a lower-than-predicted REE is present in a sample of successful weight-loss maintainers (WLMs) and 2) determine if amount of weight loss or duration of weight-loss maintenance are correlated with a lower-than-predicted REE in WLMs. Design Participants (18–65 y old) were recruited in 3 groups: WLMs (maintaining ≥13.6 kg weight loss for ≥1 y, n = 34), normal-weight controls [NCs, body mass index (BMI; in kg/m2) similar to current BMI of WLMs, n = 35], and controls with overweight/obesity (OCs, BMI similar to pre–weight-loss maximum BMI of WLMs, n = 33). REE was measured (REEm) with indirect calorimetry. Predicted REE (REEp) was determined via 1) a best-fit linear regression developed with the use of REEm, age, sex, fat-free mass, and fat mass from our control groups and 2) three standard predictive equations. Results REEm in WLMs was accurately predicted by equations developed from NCs and OCs (±1%) and by 3 standard predictive equations (±3%). In WLMs, individual differences between REEm and REEp ranged from −257 to +163 kcal/d. A lower REEm compared with REEp was correlated with amount of weight lost (r = 0.36, P < 0.05) but was not correlated with duration of weight-loss maintenance (r = 0.04, P = 0.81). Conclusions We found no consistent evidence of a significantly lower REE than predicted in a sample of long-term WLMs based on predictive equations developed from NCs and OCs as well as 3 standard predictive equations. Results suggest that sustained weight loss may not always result in a substantial, disproportionately low REE. This trial was registered at clinicaltrials.gov as NCT03422380.


2018 ◽  
Vol 10 (471) ◽  
pp. eaaw0524
Author(s):  
Kathleen A. Page

Researchers used neuroimaging to show that the best predictor of successful weight loss was greater brain activity in prefrontal areas in the brain involved in self-control.


2016 ◽  
Vol 174 (6) ◽  
pp. 775-784 ◽  
Author(s):  
Eva W Iepsen ◽  
Julie Lundgren ◽  
Jens J Holst ◽  
Sten Madsbad ◽  
Signe S Torekov

ObjectiveThe hormones glucagon-like peptide 1 (GLP-1), peptide YY3-36(PYY3–36), ghrelin, glucose-dependent insulinotropic polypeptide (GIP) and glucagon have all been implicated in the pathogenesis of obesity. However, it is unknown whether they exhibit adaptive changes with respect to postprandial secretion to a sustained weight loss.DesignThe study was designed as a longitudinal prospective intervention study with data obtained at baseline, after 8 weeks of weight loss and 1 year after weight loss.MethodsTwenty healthy obese individuals obtained a 13% weight loss by adhering to an 8-week very low-calorie diet (800kcal/day). After weight loss, participants entered a 52-week weight maintenance protocol. Plasma levels of GLP-1, PYY3–36, ghrelin, GIP and glucagon during a 600-kcal meal were measured before weight loss, after weight loss and after 1 year of weight maintenance. Area under the curve (AUC) was calculated as total AUC (tAUC) and incremental AUC (iAUC).ResultsWeight loss was successfully maintained for 52 weeks. iAUC for GLP-1 increased by 44% after weight loss (P<0.04) and increased to 72% at week 52 (P=0.0001). iAUC for PYY3–36increased by 74% after weight loss (P<0.0001) and by 36% at week 52 (P=0.02). tAUC for ghrelin increased by 23% after weight loss (P<0.0001), but at week 52, the increase was reduced to 16% compared with before weight loss (P=0.005). iAUC for GIP increased by 36% after weight loss (P=0.001), but returned to before weight loss levels at week 52. Glucagon levels were unaffected by weight loss.ConclusionsMeal responses of GLP-1 and PYY3–36remained increased 1 year after weight maintenance, whereas ghrelin and GIP reverted toward before-weight loss values. Thus, an increase in appetite inhibitory mechanisms and a partly decrease in appetite-stimulating mechanisms appear to contribute to successful long-term weight loss maintenance.


2013 ◽  
Author(s):  
J. W. Coughlin ◽  
C. M. Gullion ◽  
P. J. Brantley ◽  
V. J. Stevens ◽  
A. Bauck ◽  
...  

Author(s):  
Darren Haywood ◽  
Blake J. Lawrence ◽  
Frank D. Baughman ◽  
Barbara A. Mullan

Living with obesity is related to numerous negative health outcomes, including various cancers, type II diabetes, and cardiovascular disease. Although much is known about the factors associated with obesity, and a range of weight loss interventions have been established, changing health-related behaviours to positively affect obesity outcomes has proven difficult. In this paper, we first draw together major factors that have emerged within the literature on weight loss to describe a new conceptual framework of long-term weight loss maintenance. Key to this framework is the suggestion that increased positive social support influences a reduction in psychosocial stress, and that this has the effect of promoting better executive functioning which in turn facilitates the development of healthy habits and the breaking of unhealthy habits, leading to improved ongoing maintenance of weight loss. We then outline how the use of computational approaches are an essential next step, to more rigorously test conceptual frameworks, such as the one we propose, and the benefits that a mixture of conceptual, empirical and computational approaches offer to the field of health psychology.


Cell Stress ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 29-37 ◽  
Author(s):  
Florian Seyfried ◽  
Mohammed K. Hankir
Keyword(s):  

2010 ◽  
Vol 34 (11) ◽  
pp. 1644-1654 ◽  
Author(s):  
J L Kraschnewski ◽  
J Boan ◽  
J Esposito ◽  
N E Sherwood ◽  
E B Lehman ◽  
...  

2021 ◽  
Author(s):  
Rebecca Richards ◽  
Rebecca A Jones ◽  
Fiona Whittle ◽  
Carly A Hughes ◽  
Andrew J Hill ◽  
...  

BACKGROUND The long-term impact and cost-effectiveness of weight management programmes depends on post-treatment weight maintenance. There is growing evidence that interventions based on third-wave cognitive behavioural therapy (3wCBT), specifically acceptance and commitment therapy (ACT), could improve long-term weight management however these interventions are typically delivered face-to-face by psychologists, which limits the scalability of this type of intervention. OBJECTIVE To use an evidence-, theory- and person-based approach to develop an ACT-based intervention for weight-loss maintenance that uses digital technology and non-specialist guidance to minimise resources needed for delivery at scale. METHODS Intervention development was guided by the Medical Research Council framework for the development of complex interventions in healthcare, Intervention Mapping Protocol, and the person-based approach for enhancing the acceptability and feasibility of interventions. Two phases of work were conducted: phase one consisted of collating and analysing existing and new primary evidence, and phase two consisted of theoretical modelling and intervention development. Phase one included a synthesis of existing evidence on weight-loss maintenance from previous research, a systematic review and network meta-analysis of 3wCBT interventions for weight management, a qualitative interview study of experiences of weight-loss maintenance, and the modelling of a justifiable cost for a weight-loss maintenance programme. Phase two included iterative development of guiding principles, a logic model and the intervention design and content. Target user and stakeholder panels were established to inform each phase of development and user-testing of successive iterations of the prototype intervention were conducted. RESULTS This process resulted in a guided self-help ACT-based intervention called SWiM (Supporting Weight Management). SWiM is a 4-month programme, consisting of weekly web-based sessions for 13 consecutive weeks, followed by a 4-week break for participants to reflect and practice their new skills, and a final session at week 17. Each session consists of psychoeducational content, reflective exercises, and behavioural experiments. SWiM includes specific sessions on key determinants of weight-loss maintenance, including developing skills to manage high-risk situations for lapses, creating new helpful habits, breaking old unhelpful habits, and learning to manage interpersonal relationships and their impact on weight-management. A trained, non-specialist coach provides guidance for participants through the programme with four scheduled 30-minute telephone calls and three further optional calls. CONCLUSIONS This comprehensive approach facilitated the development of an intervention that is based on scientific theory and evidence of how to support people with weight-loss maintenance, and is grounded in the experiences of the target users and the context in which it is intended to be delivered. The intervention will be refined based on findings of a planned pilot randomised controlled trial.


Author(s):  
Jeff Nelson

Letter from Jeff Nelson regarding "Long-Term Weight Loss Maintenance on a Nutrient-Dense, Plant-Rich (NDPR) Diet A Survey Study."


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