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Record W2979725610 · doi:10.1016/s2468-2667(19)30186-0

Stigma and obesity: the crux of the matter

2019· article· en· W2979725610 on OpenAlexafffund
Monika Arora, Sı́món Barquera, Nathalie J Farpour Lambert, Trevor Hassell, Steven B. Heymsfield, Brian J. Oldfield, Donna H. Ryan, Ximena Ramos Salas, Wendy Scinta, Michelle Vicari

Bibliographic record

VenueThe Lancet Public Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsUniversity of AlbertaCanadian Obesity Network
FundersPublic Health Foundation of IndiaUniversity of AlbertaUniversity HospitalsMonash UniversityAbbott Canada
KeywordsOverweightObesityMedicinePopulationHealth careGerontologyPublic healthNeglectEnvironmental healthPolitical scienceNursingLawEndocrinology

Abstract

fetched live from OpenAlex

The extent and gravity of the obesity crisis is, unfortunately, matched only by the neglect and stigma faced by people with obesity. Overweight and obesity affect more than 2 billion adults, and prevalence has nearly tripled over 40 years.1WHO Obesity and overweight.https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweightDate: 2018Google Scholar Obesity is a chronic, complex disease, and a driver of non-communicable diseases (NCDs). Without adequately addressing obesity as a health issue, current efforts to achieve universal health coverage (spearheaded in September 2019, at the UN General Assembly) will fail. Yet, obesity is not effectively prevented or managed across health systems and societies. Research on weight-management services2Barata Cavalcanti O Obesity and health systems in Latin America.http://s3-eu-west-1.amazonaws.com/wof-files/LATAM_presentation_Regional_Dialogue__Barata_cavalcanti_FINAL.pdfDate: 2019Google Scholar in 50 countries shows that health systems are ill equipped to address obesity. Gaps include absence of quality guidelines for preliminary assessment and treatment pathways, inadequate health-care professional training, and substantial financial barriers to services, leading to marked inequalities. The low priority attributed to obesity is reflected in the failure to develop and finance comprehensive approaches to population-wide obesity prevention, within and beyond the health sector, as well as evidence-based treatments. Of nine NCD targets set by WHO and agreed by all member states in 2013, only one—to halt the increase of diabetes and obesity at 2010 levels by 2025—is likely to be missed in every country in the world. Obesity is considered neither as one of the WHO's five major NCDs nor as one of the five NCD risk factors, and so it might not be systematically included in national NCD strategies based on WHO's framework. Failure to tackle commercial determinants of health or to include obesity in comprehensive packages of health care also contribute to the growing toll of childhood obesity.3WHO Commission on ending childhood obesity.https://www.who.int/end-childhood-obesity/en/Google Scholar Resistance to the adoption of obesity as an NCD contributes to stigmatising media campaigns, siloed policies that oversimplify potential solutions, and pervasive internalised shame among people with obesity. Much of the inertia in addressing obesity can be attributed to the prevailing and persistent framing of obesity as matter of personal responsibility. In reality obesity is rooted in a complex web of genetic, physiological, psychosocial, and environmental factors, requiring systems-level action.4Ralston J Brinsden H Buse K et al.Time for a new obesity narrative.Lancet. 2018; 392: 1384-1386Summary Full Text Full Text PDF PubMed Scopus (41) Google Scholar In addition, obesity is defined as excessive adiposity, whereas body-mass index (BMI) is only a surrogate marker of adiposity, used for screening and population measurement; a focus solely on BMI exacerbates the misunderstanding and stigma that is rife within the current narrative. This prejudice manifests both as overt fat-shaming and as conscious or unconscious bias, including from health professionals and policy makers who should be providing and supporting care. The complex drivers of fat-mass regulation are not widely understood by health-care professionals, nor included in most medical curricula or public-health training. Addressing obesity as a chronic disease requires understanding the biological regulation of food intake and the physiological mechanisms that control regulation of fat mass.5Berthoud HR Munzberg H Morrisonn CD Blaming the brain for obesity: integration of hedonic and homeostatic mechanisms.Gastroenterology. 2017; 152: 1728-1738Summary Full Text Full Text PDF PubMed Scopus (192) Google Scholar Even modest weight loss improves glycaemia, blood pressure, lipids, mobility, and quality of life,6Ryan DH Yockey SR Weight loss and improvement in comorbidity: differences at 5%, 10%, 15%, and over.Curr Obes Rep. 2017 Jun; 6: 187-194Crossref PubMed Scopus (209) Google Scholar benefits that do not require a return to so-called normal BMI. This failure to recognise and treat obesity as a chronic disease is at the heart of stigma, and the preconceived notions faced by people with obesity when seeking medical advice are barriers to effective management.7Phelan SM Burgess DJ Yeazel MW et al.Impact of weight bias and stigma on quality of care and outcomes for patients with obesity.Obes Rev. 2015; 16: 319-326Crossref PubMed Scopus (563) Google Scholar Continuing to neglect and stigmatise children, young people, and adults with obesity is unethical and violates patients' human rights. Biases and gaps in knowledge must be addressed across a range of sectors, involving providers and public health professionals. Programmes should incorporate medical and population health training, and include professional development in evidence-based clinical obesity management and policy. Within health-care settings, person-centred care and people-first language should be the norm;8Obesity Action Coalition People-first language for obesity.http://www.obesityaction.org/wp-content/uploads/People-First.pdfGoogle Scholar health-care professionals should treat people with obesity with the same dignity, professionalism, and non-discrimination afforded to patients with other NCDs. As we celebrate a new unified World Obesity Day (from 2020, March 4), we share a collective responsibility to identify obesity and stigma as the crux of the matter, a central driver of the world's NCD burden, and to take a central role in reshaping the narrative, placing people with obesity at the centre of our policies and practices. SBH reports personal fees from Medifast, Janssen Pharmaceuticals, and Tanita, outside the submitted work. BO reports honoraria for attending meetings and is part of the scientific advisory board for Novo Nordisk, outside the submitted work. DR reports personal fees from Alyvant, KVK Tech, Phenomix, Quintiles, and ReDesign Health; personal fees and non-financial support from Amgen, Boeringer Ingelheim, Epitomee, Gila Therapeutics, Ifa Celtics, Janssen, Novo Nordisk, Real Appeal (United Health Care), Sanofi, and Scientific Intake; and non-financial support from Xeno Bioscience, all outside the submitted work. WS reports honoraria and speaker fees, and is part of the advisory board for Novo Nordisk, outside the submitted work. All other authors declare no competing interests.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.144
GPT teacher head0.444
Teacher spread0.300 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations39
Published2019
Admission routes2
Has abstractyes

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