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Record W3112822906 · doi:10.1016/j.eclinm.2020.100636

Switching the focus from weight to health: Canada's adult obesity practice guideline set a new standard for obesity management

2020· article· en· W3112822906 on OpenAlexaboutno aff
Rachel L. Batterham

Bibliographic record

VenueEClinicalMedicine · 2020
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsnot available
FundersNational Institute for Health and Care Research
KeywordsMedicineOverweightObesityAdipose tissuePopulationBody mass indexGerontologyWeight managementEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

For the majority of human existence, food supply has been scarce; stored energy, in the form of adipose tissue, was therefore vital for survival. Consequently, multiple powerful biological mechanisms developed to drive eating when food was available. These once life-preserving mechanisms are now key contributors to the global obesity epidemic. Adipose tissue is more than an energy reservoir; it is a complex metabolic organ secreting a myriad of adipocytokines with diverse roles, including regulating body weight, immune function and inflammation [[1]Chait A den Hartigh LJ Adipose tissue distribution, inflammation and its metabolic consequences, including diabetes and cardiovascular disease.Front Cardiovasc Med. 2020; 7: 22Crossref PubMed Scopus (214) Google Scholar]. Excess or dysfunctional adipose tissue is associated with many health conditions that lead to reduced quality of life and premature death. The World Health Organization define obesity as the excess accumulation of body fat that may adversely impact upon health [[2]World Health Organization. Obesity and overweight. factsheet 311. 2020. Available at: http://www.who.int/ (accessed October 2020)Google Scholar] and in light of the association between BMI and obesity-related diseases at a population level recommend body mass index (BMI: weight/height [[2]World Health Organization. Obesity and overweight. factsheet 311. 2020. Available at: http://www.who.int/ (accessed October 2020)Google Scholar]) is used to define overweight and obesity (BMI ≥ 25 kg/m2 and >30 kg/m2 respectively). The over-arching approach for managing people with obesity has been focused on ‘eat less and exercise more’. However, this approach has clearly been unsuccessful. The global prevalence of obesity continues to rise, nearly tripling between 1975 and 2016, with more than 2 billion people affected by overweight or obesity causing an estimated 2.8 million deaths per year [[2]World Health Organization. Obesity and overweight. factsheet 311. 2020. Available at: http://www.who.int/ (accessed October 2020)Google Scholar]. Scientific advances over the last 20 years have markedly improved our understanding of the complexities of body weight regulation, resulting in the development of novel drugs and bariatric surgical procedures that target the body's own appetite regulating mechanisms [[3]MacLean PS Blundell JE Mennella JA Batterham RL Biological control of appetite: a daunting complexity.Obesity (Silver Spring). 2017; 25: S8-S16Crossref PubMed Scopus (62) Google Scholar]. Obesity results from a complex interplay of multiple genetic, metabolic, behavioural, socioeconomic and environmental factors that vary from person-to-person. Importantly, we know that weight loss triggers powerful compensatory biology mechanisms that drive weight regain and underlie the difficulties that people face in maintaining weight loss [[4]Sumithran P Prendergast LA Delbridge E et al.Long-term persistence of hormonal adaptations to weight loss.N Engl J Med. 2011; 365: 1597-1604Crossref PubMed Scopus (806) Google Scholar]. The scientific evidence is unequivocal that obesity is not a personal choice, which can be reversed easily by eating less and exercising more. Misconceptions that body weight is entirely under volitional control drive weight discrimination and stigma that cause morbidity and mortality, independent of BMI [[5]Rubino F Puhl RM Cummings DE et al.Joint international consensus statement for ending stigma of obesity.Nat Med. 2020; 26: 485-497Crossref PubMed Scopus (193) Google Scholar]. Several professional organisations (World Obesity Federation, European Association for the Study of Obesity, Canadian Medical Association, American Medical Association, Israel Medical Association and The Royal College of Physicians’) and governments (Portugal, Netherlands, Italy and Germany) recognise obesity as a disease However, research shows that individuals can experience good health at different BMI levels, thus defining obesity based on BMI alone may under- or over-diagnose individuals with obesity [[6]Garvey WT Mechanick JI. Proposal for a scientifically correct and medically actionable disease classification system (ICD) for obesity.Obesity (Silver Spring). 2020; 28: 484-492Crossref PubMed Scopus (25) Google Scholar]. Until now, these scientific and medical advances have not been translated into clinical practice. The Canadian Adult Obesity Clinical Practice Guideline (CPG), was developed over three and a half years by individuals with lived experience of obesity, primary healthcare professionals, obesity experts and researchers. It provides the most extensive review of published evidence regarding obesity management to date and represents a step change in obesity care [[7]Wharton S Lau DCW Vallis M et al.Obesity in adults: a clinical practice guideline.CMAJ. 2020; 192: E875-EE91Crossref PubMed Scopus (138) Google Scholar]. The guideline re-defines obesity as a prevalent, complex, progressive and relapsing chronic disease, characterised by abnormal or excessive body fat (adiposity) that impairs health. Importantly, this definition switches the focus from a person's BMI to how their weight impacts upon their health, changing the outcome focus from weight loss to patient-centred health outcomes. The CPG still recommends that BMI and waist circumference are used to screen for obesity but in conjunction with assessment of the impact of excess adiposity upon physical and psychological health. For example, the Edmonton Obesity Staging System (EOSS) a 5-stage system of obesity classification based upon metabolic, physical and psychological parameters which is a better predictor of all-cause mortality than BMI or waist circumference alone and is to guide clinical decision-making [[8]Sharma AM Kushner RF. A proposed clinical staging system for obesity.Int J Obes (Lond). 2009; 33: 289-295Crossref PubMed Scopus (311) Google Scholar]. Importantly, the CPG emphasizes that healthcare professionals need to move beyond the simplistic approach of ‘eat less, move more’ and acknowledge that obesity is a chronic complex disease requiring lifelong support. The CPG provides an evidenced-based road map for managing people living with obesity (19 in-depth chapters published in full on https://obesitycanada.ca/guidelines/chapters/) together with 80 key recommendations [[7]Wharton S Lau DCW Vallis M et al.Obesity in adults: a clinical practice guideline.CMAJ. 2020; 192: E875-EE91Crossref PubMed Scopus (138) Google Scholar]. Empirical studies over a 40-year period have evidenced that people living with obesity experience weight discrimination and stigma from healthcare professionals, which negatively impacts their health. The importance of eliminating weight bias in obesity management, practice and policy cannot be over emphasized and is the focus of the first chapter. The CPG offers key practical advice regarding assessing and managing people living with obesity with empathy and compassion, including asking a person's permission before discussing their weight and using appropriate person-first language. It highlights the importance of identifying the root causes of each individual's weight gain, identifying their potential barriers to weight management and, in collaboration, agreeing realistic health goals that matter to them and a treatment plan. Importantly, the guideline states that people living with obesity should have access to evidence-informed interventions, including medical nutrition therapy, physical activity interventions, pharmacotherapy and surgery and includes dedicated chapters on each of these. The CPG includes a chapter on supporting healthy weight gain in pregnancy and a chapter on emerging technologies and virtual medicine in obesity management, the latter now being more pertinent given the challenges of the COVID-19 pandemic. The CPG brings the approach to assessing and managing people living with obesity in-line with scientific and medical knowledge, by switching the focus from weight to health and recognising that obesity is a complex chronic disease that requires lifelong support. The CPG represents a turning point not only for obesity care in Canada but provides a blue-print for improving the health of people living with obesity globally. RLB authored the manuscript. RLB has received personal consultancy fees from Novo Nordisk, ViiV, Pfizer and Boehringer-Ingelheim, outside this work.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.116
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.098
GPT teacher head0.482
Teacher spread0.384 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations7
Published2020
Admission routes1
Has abstractyes

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