The relationship of weight suppression to treatment outcomes during behavioral weight loss

Call, Christine C.; Piers, Amani D.; Wyckoff, Emily P.; Lowe, Michael R.; Forman, Evan M.; Butryn, Meghan L.

doi:10.1007/s10865-018-9978-8

Cited by 5 publications

(5 citation statements)

References 52 publications

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“…Third, it is well known that there is tremendous individual variation in the amount of weight lost in weight-loss studies. A partial explanation for this variability is that weight-loss outcomes are in part shaped by each participant's level of weight suppression (146) at the outset of a trial. Fourth, a further novel explanation for wide differences in weight-loss outcomes is the degree of weight variability experienced as participants lose weight (152,154).…”

Section: Weight Variability During Weight Lossmentioning

confidence: 99%

“…(When highest past weight is reached before age 21, this discrepancy is better quantified in terms of z ‐BMI; see S. Singh et al, unpublished data, YEAR). Call et al (146) found that individuals high (≥2.04 kg) versus low (<2.04 kg) in weight suppression at the outset of a weight‐loss trial lost significantly less weight 1 year later (7.8 vs. 12 kg). This difference is clinically, not just statistically, significant.…”

Section: Understanding Weight Regain Following Weight Loss: Insights mentioning

confidence: 99%

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Describing the Weight‐Reduced State: Physiology, Behavior, and Interventions

Aronne

Hall

Jakicic

et al. 2021

Obesity

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Although many persons with obesity can lose weight by lifestyle (diet and physical activity) therapy, successful long‐term weight loss is difficult to achieve, and most people who lose weight regain their lost weight over time. The neurohormonal, physiological, and behavioral factors that promote weight recidivism are unclear and complex. The National Institute of Diabetes and Digestive and Kidney Diseases convened a workshop in June 2019, titled “The Physiology of the Weight‐Reduced State,” to explore the mechanisms and integrative physiology of adaptations in appetite, energy expenditure, and thermogenesis that occur in the weight‐reduced state and that may oppose weight‐loss maintenance. The proceedings from the first session of this workshop are presented here. Drs. Michael Rosenbaum, Kevin Hall, and Rudolph Leibel discussed the physiological factors that contribute to weight regain; Dr. Michael Lowe discussed the biobehavioral issues involved in weight‐loss maintenance; Dr. John Jakicic discussed the influence of physical activity on long‐term weight‐loss maintenance; and Dr. Louis Aronne discussed the ability of drug therapy to maintain weight loss.

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Section: Weight Variability During Weight Lossmentioning

confidence: 99%

Section: Understanding Weight Regain Following Weight Loss: Insights mentioning

confidence: 99%

Describing the Weight‐Reduced State: Physiology, Behavior, and Interventions

Aronne

Hall

Jakicic

et al. 2021

Obesity

Self Cite

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“…Weight suppression, or the difference between current and highest weight, has demonstrated predictive effects for obesity-related prevention [ 38 ] and evidence of attenuated weight loss in behavioral weight loss interventions [ 39 , 40 ]. These moderating effects are thought to occur because of the psychological impact of deprivation and physiological adaptations related to weight suppression.…”

Section: Introductionmentioning

confidence: 99%

A 2.5-Year Weight Management Program Using Noom Health: Protocol for a Randomized Controlled Trial

Sysko¹,

Oleski²,

Boyar³

et al. 2022

JMIR Res Protoc

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Background Overweight and obesity are serious public health concerns. As the prevalence of excess weight among individuals continues to increase, there is a parallel need for inexpensive, highly accessible, and evidence-based weight loss programs. Objective This weight loss trial will aim to examine the efficacy of the Noom weight loss program in comparison to a digital control after a 6-month intervention phase and a 24-month maintenance phase, with assessments continuing for 2 years beyond the intervention (to 30 months—after the baseline). The secondary outcomes include quality of life, psychosocial functioning, sleep quality, physical activity, diet, and health status. This trial will also examine the severity of obesity-related functional impairment, weight loss history, and demographic moderators, along with adherence and self-efficacy as mediators of the outcome. Methods A total of 600 participants were randomized in a parallel-group, controlled trial to either Noom Healthy Weight Program (intervention) or Noom Healthy Weight Control (control) for a 6-month intervention. Both intervention and control groups include diet and exercise recommendations, educational content, daily logging capabilities, and daily weigh-in entries. The Noom Healthy Weight Program also includes a coach support for weight loss. Remote follow-up assessments of eating, physical activity, psychosocial factors, app use data, and weight will be conducted at 1, 4, 6, 12, 18, 24, and 30 months after baseline. Weight is measured at each follow-up point during a Zoom call using the participants’ scales. Results Enrollment began in March 2021 and the 6-month intervention phase ended in March 2022. Data collection for the final assessment will be completed in March 2024. Conclusions This study tests commercially available digital lifestyle interventions for individuals with overweight and obesity seeking weight loss support. Data obtained from the study will evaluate whether the Noom Healthy Weight Control Program can help individuals overcome weight loss, achieve long-term maintenance, adhere to lifestyle changes, and feature use barriers that are present in other traditional weight loss treatments. Trial Registration ClinicalTrials.gov NCT04797169; https://clinicaltrials.gov/ct2/show/NCT04797169 International Registered Report Identifier (IRRID) DERR1-10.2196/37541

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“…We believe that this simple and ready-to-use classification can help reduce the stigma of clinical obesity treatment, improve long-term adherence to obesity therapy, and facilitate the understanding that obesity is a chronic and recurrent disease. The only information that must be reliably obtained is the individual's MWAL, which has previously been proposed as important information in the clinical setting (23,25,111).…”

Section: Strengths and Limitationsmentioning

confidence: 99%

“…In this document, the Brazilian Society of Endocrinology and Metabolism (Sociedade Brasileira de Endocrinologia e Metabologia -SBEM) and the Brazilian Association for the Study of Obesity and Metabolic Syndrome (Associação Brasileira de Estudo da Obesidade e Síndrome Metabólica -ABESO) propose a classification for obesity using the maximum weight attained in life (MWAL, or highest-ever weight) and the percentage of weight loss achieved to guide clinical management and individual decisions. This concept could also be useful in clinical trials since individuals with obesity with different weight trajectories can have different outcomes (6,23,24). This proposed classification can also help further disseminate the simple but underappreciated concept of health benefits from clinically achievable weight loss and highlight the importance of obtaining an accurate history of the individual's weight trajectory during evaluation and management of obesity and related disorders (25).…”

Section: Introductionmentioning

confidence: 99%