People with obesity commonly face a pervasive, resilient form of social stigma. They are often subject to discrimination in the workplace as well as in educational and healthcare settings. Research indicates that weight stigma can cause physical and psychological harm, and that affected individuals are less likely to receive adequate care. For these reasons, weight stigma damages health, undermines human and social rights, and is unacceptable in modern societies. To inform healthcare professionals, policymakers, and the public about this issue, a multidisciplinary group of international experts, including representatives of scientific organizations, reviewed available evidence on the causes and harms of weight stigma and, using a modified Delphi process, developed a joint consensus statement with recommendations to eliminate weight bias. Academic institutions, professional organizations, media, public-health authorities, and governments should encourage education about weight stigma to facilitate a new public narrative about obesity, coherent with modern scientific knowledge.
Individuals with obesity face not only increased risk of serious medical complications but also a pervasive, resilient form of social stigma. Often perceived (without evidence) as lazy, gluttonous, lacking will power and self-discipline, individuals with overweight or obesity are vulnerable to stigma and discrimination in the workplace, education, healthcare settings, and society in general. Weight stigma can cause considerable harm to affected individuals, including physical and psychological consequences. The damaging impact of weight stigma, however, extends beyond harm to individuals. The prevailing view that obesity is a choice and that it can be entirely reversed by voluntary decisions to eat less and exercise more can exert negative influences on public health policies, access to treatments, and research1,2,3.
Although raising awareness of the negative consequences of weight stigma is important, awareness alone is not sufficient to eliminate the issue. Challenging and changing widespread, deep-rooted beliefs, longstanding preconceptions, and prevailing mindsets requires a new public narrative of obesity that is coherent with modern scientific knowledge. Given the pervasiveness of societal weight bias, this goal can only be achieved through the concerted efforts of a broad group of stakeholders, including healthcare providers (HCPs), researchers, the media, policymakers, and patients.
To best inform HCPs, policymakers, and the public about stigma associated with obesity, a multi-disciplinary group of international experts, including representatives of ten scientific organizations (Table 1), reviewed available evidence on the causes and harms of weight stigma, developing a joint consensus statement with recommendations to eliminate weight bias.
A specific goal—representing novelty from previous related initiatives—was to address the gap between stigmatizing narratives around obesity and current scientific knowledge regarding mechanisms of body-weight regulation. The overarching objective was to gather a broad group of experts and scientific organizations to recognize the problem and, to our knowledge for the first time, ‘speak with one voice’ about this important issue.
Here we report the conclusions of this exercise and resulting joint consensus statements, with a call to action for all stakeholders to take a pledge (Box 1) to end weight stigma and discrimination.
Partner organizations and selection of voting delegates
The consensus-development conference was convened by F.R. (conference director), jointly with the following partner organizations: American Association of Clinical Endocrinologists, American Association for Metabolic and Bariatric Surgery, American Diabetes Association, Diabetes UK, European Association for the Study of Obesity, International Federation for the Surgery of Obesity and Metabolic Disorders, Obesity Action Coalition, Obesity Canada, The Obesity Society, and World Obesity Federation.
The conference director (F.R.), co-chairs (D.E.C., D.H.R., and J.B.D.), and the partner organizations appointed a multidisciplinary expert panel (Table 1) of 36 internationally recognized academics representing multiple scientific disciplines, including endocrinology, nutrition, internal medicine, surgery, psychology, molecular biology, cardiology, gastroenterology, primary care, public health, and health policy. The expert panel also included patient-advocacy experts, plus an individual with obesity to speak on behalf of patients. Given that the main aim of this consensus conference was not to define weight stigma or assess it from an ethical perspective, we did not include ethicists in the expert panel.
The 36 members of the expert panel, who constituted voting delegates for the entire consensus-development process, were selected primarily from academics with documented expertise about the topics of the conference and relevant publication records. Each of the ten partner societies used their own criteria to choose their representatives for the expert panel. Criteria included, expertise in weight stigma, obesity, and/or previous participation in relevant committees or initiatives related to weight stigma. One independent, non-voting moderator (O.B.C.) with previous experience in Delphi methodology administered questionnaires for the modified Delphi process and chaired the face-to-face meeting of voting delegates.
Review of evidence
A subgroup of expert panel members (F.R., D.E.C., and J.B.D.) contributed to a review of scientific publications in Medline on a broad set of topics related to weight bias, stigma, and discrimination. Specific, preset research questions for the review of evidence included: (i) prevalence of weight bias and stigma (in the media, healthcare, education, and workplace); (ii) psychologically and physically harmful effects on individuals; (iii) impact on access to care and research, and evidence of workplace weight discrimination; (iv) biological mechanisms of weight regulation in physiology and disease; (v) clinical evidence of uptake and barriers to access of available treatments; and (vi) mechanisms of body-weight regulation and energy homeostasis. We also searched broader data sources for references to weight discrimination in current legislation.
Members of the expert panel with specific expertise (R.M.P., C.A., L.J.A., D.H.R., T.J.R., and S.W.F.) were also tasked to independently conduct a short narrative review of current knowledge on one of the above research questions, according to their specific expertise.
Given the objectives of the consensus conference, the diversity of the subjects under consideration, and the variance in quality of evidence across disciplines, we considered a broad evidence base, including previously published systematic reviews, and various types of observational studies, experimental medicine, and translational studies in animals (weight-regulation mechanisms). For evidence about media portrayal of obesity, we used a 2010 review based on PsycINFO database searches using weight bias and stigmatization-related terms and phrases to identify journal articles published in English between 1994 and 2009 (ref. 4). We also identified papers related to these subjects in Medline published between 2011 and 2019. To assess beliefs about obesity, type 2 diabetes, and related treatment options, we used research surveys and pools of opinion conducted among HCPs and/or the general public, and reported in Medline.
A document with the results of this review was circulated among the rest of the group in preparation for the modified Delphi process, seeking further input.
Delphi-like consensus-development process
Based on results of the review of evidence, a subgroup of expert panel members with special expertise in specific subtopics developed questionnaires, including a set of statements and recommendations that were believed to summarize and reflect available evidence. These questionnaires were then circulated among the expert panel. An online Delphi-like method was used to measure the degree of consensus for the statements and recommendations by a web-based survey tool (SurveyMonkey; https://www.surveymonkey.co.uk). We adapted the original Delphi method5 to the scopes and nature of this exercise. Unlike other Delphi studies, in which the first round consists mainly of open-ended questions, we used agree/disagree questions designed by a subgroup of members of the expert panel (F.R., S.W.F., D.E.C., and J.B.D.) for the first round.
Approximately three weeks before the survey was first administered, we informed potential participants of the objectives of the study, provided information about the Delphi process, and invited them to contribute. Participants were assured that responses were confidential, with individual responses known only to the impartial, non-voting survey moderator.
The moderator administered the questionnaires through two rounds of Delphi-like process. Delegates who did not agree with the proposed statements were asked to state their reasons and propose amendments. A further (third) round of Delphi was administered after the in-person meeting. All questions also contained a box for individual, non-compulsory comments.
Each survey round was conducted over two weeks: one week for response acquisition (including e-mail reminders before the closing date), and one week for data analysis and preparation of the subsequent round. A personalized email message was sent to each respondent with a URL link to the survey.
Response rate for both of the first two Delphi rounds was 34/36 expert panel members, and all 36 members responded in the third Delphi round.
In-person consensus meeting
Supporting evidence and draft conclusions generated through the Delphi process were presented at the 4th World Congress on Interventional Therapies for Type 2 Diabetes 2019 (WCITD2019, New York, 10 April, 2019). Proceedings were open to public comment by other experts in the field (WCITD2019 faculty members) and by the entire audience through opinion polls, using real-time electronic voting (Turning Technology software). On 10 April 10, 2019, voting delegates met face-to-face to review, amend, and vote on each consensus statement.
After the meeting in New York, the document with conclusions reached by the experts underwent a final review and approval through a third round of Delphi process.
The final consensus document, including the ‘Pledge to Eliminate Weight Bias and Stigma of Obesity’ (Box 1), was then submitted to the scientific committees and executive boards of partner organizations and other stakeholders for review and endorsement. A subgroup of the expert panel (F.R., R.M.P., D.E.C., R.H.E., D.H.R., J.I.M., J.N., X.R.S., P.R.S., D.T., and J.B.D.) generated the first draft of the report. The draft report was then circulated among all other members of the expert panel for further input and approval before submission for publication.
All members of the expert panel, all partner organizations, and additional organizations listed in Box 2 have formally endorsed the statement and taken the pledge to eliminate weight stigma.
Descriptors of grade of consensus
A supermajority rule was used to define consensus. Consensus was considered to have been reached when > 67% of the experts agreed on a given topic. However, language was iteratively modified to maximize agreement, and the degree of consensus for each statement was graded according to the following scale: grade U was 100% agreement (unanimous); grade A was 90–99% agreement; grade B was 78–89% agreement; and grade C was 67–77% agreement. This grading scale is meant to indicate statements that reflect unanimous or near-unanimous opinions (grades U and A), strong agreement with little variance (grade B), or a consensus statement that reflects an averaging of more and possibly extremely diverse opinions (grade C). All statements included in this consensus document achieved either grades U or A, which we report for each statement.
The first questionnaire asked 58 questions, including six on expert panel demographic information. During the three Delphi-like rounds and the in-person voting session, the expert panel eliminated five consensus questions that were deemed to be duplicative or redundant. Our iterative changes throughout the process yielded 47 final statements (Tables 2 and 3), all with > 89% consensus (grades A and U), as summarized in Box 3.
In this document, we use the terms ‘weight stigma’, ‘weight-based stereotypes’, or ‘weight bias’ to refer to biases against individuals with overweight and obesity, not underweight. We provide definitions in Box 4.
Summary of evidence
Prevalence of weight bias, stigma, and discrimination
Substantial research has demonstrated that weight stigma and discrimination are pervasive, global issues7,8. Weight stigma has been documented in multiple societal domains, including the workplace, education, healthcare settings, and within families9,10. Stigma has persisted despite the markedly increased prevalence of obesity in recent decades. Among adults with obesity, the prevalence of weight discrimination is 19–42%, with higher rates among those with higher body-mass index (BMI), and among women compared with men11,12,13.
Estimates from a 2018 study suggest that approximately 40–50% of US adults with overweight and obesity experience internalized weight bias, and about 20% of US adults experience this at high levels14. Internalized weight bias is present in individuals across diverse body-weight categories, but especially among individuals with higher BMI who are trying to lose weight14.
Evidence suggests that the media is a pervasive source of weight bias and can reinforce stigma through the use of inaccurate framing of obesity and inappropriate images, language, and terminology that attribute obesity entirely to personal responsibility15. It has been estimated that over two thirds of images accompanying US media reports of obesity contain weight stigma, and experimental studies show that viewing these types of images leads to increased weight bias16.
Weight bias has been reported among HCPs in the United States and around the world, including among primary care providers, endocrinologists, cardiologists, nurses, dietitians, mental health professionals, medical trainees, and professionals engaged in research and clinical management of obesity17,18.
Physical and mental health consequences of weight stigma
Children with overweight and obesity are frequently subject to weight-based teasing and bullying at school. Compared with students of lower body weight, adolescents with overweight or obesity are significantly more likely to experience social isolation19,20,21 and are at increased risk for relational, verbal, cyber, and physical victimization22. They are also more susceptible to developing mental health disorders, especially anxiety and depression, in addition to obesity, type 2 diabetes, and cardiovascular disease in later life23.
Weight stigma, rather than obesity itself, may be particularly harmful to mental health and is associated with depressive symptoms, higher anxiety levels, lower self-esteem, social isolation, perceived stress, substance use24,25,26, unhealthy eating and weight-control behaviors, such as binge eating and emotional overeating27. Experimental studies also show, paradoxically, that exposing individuals to weight stigma can lead to increased food intake, regardless of BMI3,28. Correlative and randomized-controlled studies also show that experience of weight stigma is linked with lower levels of physical activity, higher exercise avoidance29,30,31, consumption of unhealthy diets, and increased sedentary behaviors1,2,3, as well as increased obesity and weight gain over time32, and increased risk of transitioning from overweight to obesity in both adults and adolescents33,34,35.
Individuals with overweight and obesity who experience weight discrimination show higher levels of circulating C-reactive protein36, cortisol37, long-term cardio-metabolic risk38, and increased mortality39 compared with those who do not experienced weight discrimination.
Quality of care and health care utilization
Evidence suggests that physicians spend less time in appointments and provide less education about health to patients with obesity compared with thinner patients17, and patients who report having experienced weight bias in the healthcare setting have poor treatment outcomes40 and might be more likely to avoid future care41. Obesity also adversely impacts age-appropriate cancer screening, which can lead to delays in breast, gynecological, and colorectal cancer detection42.
A thematic analysis of 21 studies examined the perceptions of weight bias and its impact on engagement with primary health care services43. Negative influences on engagement with primary care were evaluated and ten themes were identified: contemptuous, patronizing, and disrespectful treatment, lack of training, ambivalence, attribution of all health issues to excess weight, assumptions about weight gain, barriers to health care utilization, expectation of differential health care treatment, low trust and poor communication, avoidance or delay of health services, and seeking medical advice from multiple HCPs.
The widespread, but unproven, assumption that body weight is entirely controllable by lifestyle choices and that self-directed efforts can reverse even severe forms of obesity or type 2 diabetes44 could explain the low level of public support for coverage of anti-obesity interventions beyond diet and exercise45, regardless of their evidence base. For example, many public and private health insurers either do not provide coverage or have substantive limitations in the coverage of metabolic surgery, including fulfilment of a number of criteria for which there is limited or no clinical evidence46,47. These attitudes are in stark contrast with coverage of treatment for other chronic diseases (for example, cancer, heart disease, and osteoarthritis) that are not conditional to similar restrictions, and for which use of similarly arbitrary coverage criteria would be socially indefensible and ethically objectionable.
Stigmatization of surgical treatment for obesity
Metabolic surgery (also known as bariatric surgery) provides a compelling example of how weight stigma can also extend to treatments for obesity. Compared with individuals who lose weight using diet and exercise alone, those who lose weight through metabolic surgery can be at risk of stronger stigma because they are stereotyped as being lazy and being less responsible for their weight loss48,49. It is not surprising that many hide their surgical status49.
Despite evidence of efficacy and cost-effectiveness50,51 of surgical interventions for obesity, only 0.1–2% of surgical candidates who qualify worldwide currently undergo such surgery52. A research survey in the United States showed that only 19.2% of responders supported insurance coverage of metabolic operations45.
Weight stigma and public health policies
Historical examples of illnesses whose social construction incorporated moral judgments about the role of individuals’ actions in contracting the disease (for example, plague, cholera, syphilis, HIV/AIDS), demonstrate that stigma can interfere with public heath efforts to control epidemics53. These examples also highlight the importance of initiatives aimed at combatting stigma and social exclusion (for example, United Nations General Assembly Special Session on HIV/AIDS and 2002–2003 World AIDS Campaign)54.
Public health efforts to date have typically neglected stigma as a barrier in efforts to address obesity. By contrast, some public health strategies openly embrace stigmatization of individuals with obesity, based on the assumption that shame will motivate them to change behavior and achieve weight loss through a self-directed diet and increased physical exercise55. Both observational and randomized-controlled studies show that these strategies can result in the opposite effect, and may instead induce exercise avoidance, consumption of unhealthy diets, and increased sedentary behaviors1,2,3, leading to poor metabolic health, increased weight gain56,57, and reduced quality of life57.
Some public health messages and government-supported anti-obesity campaigns also characterize the merits of prevention of obesity as a preferable alternative to treatments for established obesity, such as pharmacotherapy or surgery, which are often considered more expensive. This is a misconception, as it frames prevention and treatment as being mutually exclusive, whereas these approaches should generally be directed toward two distinct populations, with different needs.
Discrimination in employment
Workplace discrimination against individuals with overweight and obesity is common in high-income countries58. Individuals with obesity have reported receiving lower starting salaries, can be ranked as less qualified, and can work longer hours than do thinner employees59. Persons with obesity can be perceived to be less suitable for employment and are less likely to be invited for an interview60, or, if employed, are perceived to be less successful compared with thinner peers61. Women with obesity are the especially unlikely to be hired62.
A UK study of 119,669 individuals aged 37−73 years found a strong association between higher BMI and lower socioeconomic status, especially in women63. Similarly, a US study reported that overweight women are more likely to work in lower-paying jobs and make less money compared with average-size women and all men64.
For the vast majority of individuals with obesity who experience discrimination in recruitment or the workplace, there is generally no protection under current legislations62. Although some US states have recently introduced a legislation that protects against height and weight discrimination65, the Civil Rights Act of 1964 does not identify weight as a protected characteristic, and only in some instances a condition of very high BMI can meet the definition of disability under a 2008 amendment of the Americans with Disabilities Act legislation66. This amendment, however, does not cover individuals who are not disabled, even though they can also be victims of weight discrimination.
Similarly, in 2014 the European Court of Justice ruled that being severely overweight could be considered a disability if this condition disrupts an employee’s ability to work. However, obesity per se is generally not specified as a disabling condition in current EU employment law; hence, most anti-discrimination laws require interpretation of whether a person with obesity has a disability. The UK Equality Act (2010)67 specifically prohibits discrimination on the grounds of age, disability, gender reassignment, marriage and civil partnership, pregnancy, maternity, race, ethnicity, religion or belief, sex, and sexual orientation—but not for obesity.
Weight bias and research
Research into obesity and diabetes is underfunded compared with other diseases, relative to their burden and costs on society. For example, the US National Institutes of Health’s projected budgets for cancer, HIV/AIDS, and digestive diseases are 5–10 times greater than the budget for obesity, despite that the latter affecting substantially more Americans.
Among the 5,623 participants in a recent multi-national research survey (the ASK study), higher weight stigma was associated with lower prioritization of spending on obesity research44. There are also several ways in which stigma can hinder support of research and scientific advances. For instance, oversimplified notion that obesity is caused by eating too much and exercising too little, implies that the causes of obesity and its epidemic are well-understood, and not complex. In this context, research designed to elucidate etiologic mechanisms of obesity may not be perceived as a priority. Furthermore, funding could be skewed toward projects that are anticipated to be effective (that is, implementation of behavior and lifestyle interventions), reducing support for investigation of novel methods of prevention and treatment or implementation of available evidence-based therapies (that is, pharmaceutical or surgical approaches).
Causes and contributors for weight stigma
Evidence from several countries68,69,70,71 shows that when individuals attribute the causes of obesity primarily to internal, controllable factors or personal choices, they exhibit higher weight bias, whereas acknowledging the complex causes of obesity (including elements such as genetics, biology, and environmental factors) is associated with lower levels of weight bias and less blame. These findings suggest that the prevailing narrative of obesity in news coverage, public health campaigns, and political discourse—centered heavily on notions of personal responsibility72,73—can play an important part in the expression of weight stigma and reinforce weight-based stereotypes74.
The absence of national laws that prohibit weight discrimination can also contribute to expression of weight stigma, as it communicates a societal message that weight stigma is acceptable and tolerable. However, evidence in North America, Europe, Australia, and Iceland suggests that there might be substantial public support to enact and pass legislation to prohibit weight discrimination75,76.
The gap between scientific evidence and misconceptions in the public narrative
The notion that the causes of overweight and obesity depend on individuals’ faults, such as laziness and gluttony, stems from the assumption that body weight is entirely under volitional control. This assumption and many of its corollaries are now at odds with a definitive body of biological and clinical evidence developed over the last few decades.
1. Body weight = calories in – calories out
This equation is often oversimplified in the public narrative of obesity, and even by HCPs, as if the two variables (calories in and calories out) were dependent only on two factors, amount of food consumed and exercise performed, therefore implying that body weight is completely controllable by voluntary decisions to eat less and exercise more.
However, both variables of the equation depend on factors additional to just eating and exercising. For instance, energy intake depends on the amount of food consumed, but also on the amount of food-derived energy absorbed through the gastrointestinal tract, which in turn is influenced by multiple factors, such as digestive enzymes, bile acids, microbiota, gut hormones, and neural signals, none of which are under voluntary control. Similarly, energy output is not entirely accounted for by physical activity, which only contributes to ~30% of total daily energy expenditure. Metabolic rate accounts for 60–80% of total daily energy expenditure, with the thermic effect of feeding constituting approximately 10%77. Thus, even when individuals expend energy via exercise, except for elite athletes the overall contribution to energy expenditure is relatively small78.
The existence of a powerful, precise homeostatic system that maintains body weight within a relatively narrow, individualized range is supported by scientific evidence. This regulatory system can counteract voluntary efforts to reduce body weight by activating potent compensatory biologic responses (for example, increased appetite and decreased metabolic rate) that promote weight regain. Clinical evidence shows that a 10% weight loss elicits compensatory changes in energy expenditure79, and modifications of appetite signals that increase hunger and reduce satiety. These metabolic and biologic adaptations can persist long-term after losing weight and continue even after partial weight regain80.
2. Obesity is primarily caused by voluntary overeating and a sedentary lifestyle
Although this concept might appear to be a straightforward conclusion, given common personal experiences of the fluctuations of body weight during periods of excess energy intake or sedentary lifestyle, the evidence supports a more nuanced situation. For example, in a Canadian study that used accelerometers to measure physical activity, girls with obesity took more steps per day than girls within the normal weight range81. Similar findings have been observed for adults82. Despite substantially higher levels of physical activity, total daily energy expenditure among hunter-gatherers in Africa’s savannahs today is largely similar to that of adults living in modern European or US cities, where obesity prevalence is high83. These findings contrast with conventional views that primarily attribute the cause of obesity to sedentary lifestyles and suggest that compensatory metabolic adaptations maintain total energy expenditure relatively constant among human populations and across various levels of physical activities.
Additional evidence is now also available indicating other possible causes and contributors to obesity, including genetic84 and epigenetic factors85, foodborne factors86, sleep deprivation and circadian dysrhythmia87, psychological stress, endocrine disruptors, medications, and intrauterine and intergenerational effects. These factors do not require overeating or physical inactivity to explain excess weight88,89,90. A dominant role of genetic factors in obesity pathogenesis has also been demonstrated in studies comparing the concordance of body weight among fraternal versus identical twins91, for example, as well as studies of adults adopted as infants compared with their biological and adoptive parents77,92. Hence, overeating and reduced physical activity, when present, might be symptoms rather than the root causes of obesity93. Finally, the frequent failure of therapeutic and public-health strategies focused on the recommendation to ‘eat less and move more’ should call into question a causal role of voluntary overeating and sedentary lifestyle as primary causes of obesity.
3. Obesity is a lifestyle choice
Persons with obesity typically recognize obesity as a serious health problem, rather than a conscious choice. More than two thirds of 3,008 individuals with obesity surveyed in the ACTION Study considered obesity to be as or more serious than other health conditions, including high blood pressure, diabetes, and depression94. Given the negative effects of obesity on quality of life, the well-known risks of serious complications and reduced life expectancy associated with it, it is a misconception to define obesity as a choice.
4. Obesity is a condition, not a disease
Labeling obesity as a disease, risk factor, or condition has implications for treatment and policy development and can contribute to promoting or mitigating stigmatizing views toward affected individuals. An argument often used against labeling obesity a disease is that doing so communicates a societal message that individual responsibility is not relevant in obesity, thus reducing adherence to healthier lifestyles. Defining obesity as a disease, or not, however, should be based on objective medical and biological evidence, not sociologic implications.
The criteria generally used for recognition of disease status are clearly fulfilled in many individuals with obesity as commonly defined, albeit not all. These criteria include specific signs or symptoms (such as increased adiposity), reduced quality of life, and/or increased risk of further illness, complications, and deviation from normal physiology—or well-characterized pathophysiology (for example, inflammation, insulin resistance, and alterations of hormonal signals regulating satiety and appetite).
As reviewed in a statement from the World Obesity Federation95, many medical societies as well as the World Health Organization, the US Food and Drug Association, the US National Institutes of Health, and the Nagoya Declaration have now defined obesity as a disease or disease process.
Admittedly, however, defining obesity as a disease, but measuring it only by BMI thresholds (as in contemporary medical practice), risks labeling as ill some individuals who, despite possibly being at risk of future illness, have no current evidence of disease—for example, in cases where high BMI results from being particularly muscular or having short stature. This potential risk of misdiagnosis underscores the inadequacy of current diagnostic criteria for obesity, and the need to identify more meaningful clinical and biological criteria than just BMI to diagnose the disease.
5. Severe obesity is usually reversible by voluntarily eating less and exercising more
This assumption is also not supported by evidence. First, body weight and fat mass are known to be regulated by numerous physiological mechanisms, beyond voluntary food intake and physical exercise. A large body of clinical evidence has shown that voluntary attempts to eat less and exercise more render only modest effects on body weight in most individuals with severe obesity96,97. When fat mass decreases, the body responds with reduced resting energy expenditure79,80 and changes in signals that increase hunger and reduce satiety93 (for example, leptin, ghrelin)98. These compensatory metabolic and biologic adaptations promote weight regain and persist for as long as persons are in the reduced-energy state, even if they gain some weight back98.
Metabolic surgery is often referred to as an easy way out, based on assumptions that these interventions mechanically restrict food intake in a manner that individuals are not sufficiently disciplined to achieve on their own. However, evidence demonstrates that surgical interventions elicit numerous metabolic effects opposite to the compensatory physiologic responses normally triggered by diet-induced weight reduction, thereby promoting major, long-term weight loss99. Such mechanisms include a paradoxical decrease in appetite and increase in metabolic rate, which change adaptively in the opposite directions to those following most non-surgical weight loss77. There are also favorable post-operative alterations in gastrointestinal hormones, bile-acid signaling, gut microbiota, absorption and utilization of glucose by the gut, modulations of gastrointestinal nutrient signaling that influence insulin sensitivity, and others100.
In this initiative, we sought to inform HCPs, policymakers, and the public about the prevalence, causes, and harmful consequences of weight stigma. A novel, specific goal not formulated in prior related initiatives was to address the gap between popular, stigmatizing narratives around obesity and current scientific knowledge regarding mechanisms of body-weight regulation. We found ample evidence of pervasive weight bias and stigma in many diverse domains of society, causing serious mental and physical harm to individuals with obesity. We met our primary objective of gathering a broad group of experts and scientific organizations to appraise the problem and, to our knowledge for the first time, speak with one voice against this important issue, pledging to do what we can to end it (pledge in Box 1, executive summary in Box 3, and recommendations in Table 3).
There are several limitations to our work. For example, largely owing to the nature of relevant publications, we did not perform a formal systematic review with stringent criteria for levels of evidence. Our method of literature study was closer to a structured rapid review, performed over approximately 6 months, and it only included English-language papers. Also, although our expert panel comprised representatives from ten nations spanning five continents, it was heavily weighted toward individuals from the United States and other high-income countries. Much of the evidence base is also derived from these regions. It is important to note, however, that our final report has been formally endorsed by over 100 organizations at the time of publication (Box 2), including some from low-income and middle-income countries—attesting to the global relevance of the problem and our statements. A strength of our work is that we engaged a diverse group of panelists including academics from disparate disciplines, representatives of patient-advocacy organizations and patients. The broad endorsement of this statement and pledge by a diverse group of organizations, including scientific societies, patient-advocacy groups, academic and medical centers, scientific journals, and a parliamentary group provides an unprecedented opportunity for a concerted effort of all stakeholders to effectively tackle this important problem for medicine and society.
Weight stigma and discrimination are pervasive and cause significant harm to affected individuals. The widespread narrative of obesity in the media, in public health campaigns, in political discourse, and even in the scientific literature attributing the cause of obesity primarily to personal responsibility has an important role in the expression of societal weight stigma, and reinforces weight-based stereotypes. Weight stigma can mislead clinical decisions, and public health messages, and could promote unproductive allocation of limited research resources. Weight bias and stigma can result in discrimination, and undermine human rights, social rights, and the health of afflicted individuals. Explaining the gap between scientific evidence, and a conventional narrative of obesity built around unproven assumptions and misconceptions might help to reduce weight bias, and its harmful effects. A concerted effort of all stakeholders is required to promote educational, regulatory, and legal initiatives designed to prevent weight stigma and discrimination.
Bauer, C. & Rosemeier, A. A handicap for life - overweight and obesity in pre-school children in Karlsruhe. Gesundheitswesen 66, 246–250 (2004).
Hayden-Wade, H. A. et al. Prevalence, characteristics, and correlates of teasing experiences among overweight children vs. non-overweight peers. Obes. Res. 13, 1381–1392 (2005).
Schvey, N. A., Puhl, R. M. & Brownell, K. D. The impact of weight stigma on caloric consumption. Obesity 19, 1957–1962 (2011).
Ata, R. N. & Thompson, J. K. Weight bias in the media: a review of recent research. Obes. Facts 3, 41–46 (2010).
Gordon, T. J. The Delphi method. Futur. Res. Methodol. 4, 2–15 (1994).
Corrigan, P. W., Watson, A. C. & Barr, L. The self-stigma of mental illness: Implications for self-esteem and self-efficacy. J. Soc. Clin. Psychol. 25, 875–884 (2006).
Brewis, A., SturtzSreetharan, C. & Wutich, A. Obesity stigma as a globalizing health challenge. Global. Health 14, 20 (2018).
Flint, S. W., Hudson, J. & Lavallee, D. UK adults’ implicit and explicit attitudes towards obesity: a cross-sectional study. BMC Obes. 2, 31 (2015).
Pearl, R. L. Weight bias and stigma: public health implications and structural solutions. Soc. Issues Policy Rev. 12, 146–182 (2018).
Lydecker, J. A., O’Brien, E. & Grilo, C. M. Parents have both implicit and explicit biases against children with obesity. J. Behav. Med. 41, 784–791 (2018).
Puhl, R. M., Andreyeva, T. & Brownell, K. D. Perceptions of weight discrimination: prevalence and comparison to race and gender discrimination in America. Int. J. Obes. 32, 992–1000 (2008).
Spahlholz, J., Baer, N., König, H. H., Riedel-Heller, S. G. & Luck-Sikorski, C. Obesity and discrimination—a systematic review and meta-analysis of observational studies. Obes. Rev. 17, 43–55 (2016).
Andreyeva, T., Puhl, R. M. & Brownell, K. D. Changes in perceived weight discrimination among Americans, 1995-1996 through 2004-2006. Obesity 16, 1129–1134 (2008).
Puhl, R. M., Himmelstein, M. S. & Quinn, D. M. Internalizing weight stigma: prevalence and sociodemographic considerations in US adults. Obesity 26, 167–175 (2018).
Heuer, C. A., McClure, K. J. & Puhl, R. M. Obesity stigma in online news: a visual content analysis. J. Health Commun. 16, 976–987 (2011).
Puhl, R. M., Luedicke, J. & Heuer, C. A. The stigmatizing effect of visual media portrayals of obese persons on public attitudes: does race or gender matter? J. Health Commun. 18, 805–826 (2013).
Phelan, S. M. et al. Impact of weight bias and stigma on quality of care and outcomes for patients with obesity. Obes. Rev. 16, 319–326 (2015).
Sabin, J. A., Marini, M. & Nosek, B. A. Implicit and explicit anti-fat bias among a large sample of medical doctors by BMI, race/ethnicity and gender. PLoS One 7, e48448 (2012).
Pont, S. J., Puhl, R., Cook, S. R. & Slusser, W. Stigma experienced by children and adolescents with obesity. Pediatrics 140, e20173034 (2017).
Mannan, M., Mamun, A., Doi, S. & Clavarino, A. Prospective associations between depression and obesity for adolescent males and females—a systematic review and meta-analysis of longitudinal studies. PLoS One 11, e0157240 (2016).
Puhl, R. M. & King, K. M. Weight discrimination and bullying. Best Pract. Res. Clin. Endocrinol. Metab. 27, 117–127 (2013).
Waasdorp, T. E., Mehari, K. & Bradshaw, C. P. Obese and overweight youth: risk for experiencing bullying victimization and internalizing symptoms. Am. J. Orthopsychiatry 88, 483–491 (2018).
Takizawa, R., Danese, A., Maughan, B. & Arseneault, L. Bullying victimization in childhood predicts inflammation and obesity at mid-life: a five-decade birth cohort study. Psychol. Med. 45, 2705–2715 (2015).
Wu, Y. K. & Berry, D. C. Impact of weight stigma on physiological and psychological health outcomes for overweight and obese adults: A systematic review. J. Adv. Nurs. 74, 1030–1042 (2018).
Papadopoulos, S. & Brennan, L. Correlates of weight stigma in adults with overweight and obesity: a systematic literature review. Obesity 23, 1743–1760 (2015).
Jackson, S. E., Steptoe, A., Beeken, R. J., Croker, H. & Wardle, J. Perceived weight discrimination in England: a population-based study of adults aged >50 years. Int. J. Obes. 39, 858–864 (2015).
Vartanian, L. R. & Porter, A. M. Weight stigma and eating behavior: a review of the literature. Appetite 102, 3–14 (2016).
Major, B., Hunger, J. M., Bunyan, D. P. & Miller, C. T. The ironic effects of weight stigma. J. Exp. Soc. Psychol. 51, 74–80 (2014).
Han, S., Agostini, G., Brewis, A. A. & Wutich, A. Avoiding exercise mediates the effects of internalized and experienced weight stigma on physical activity in the years following bariatric surgery. BMC Obes. 5, 18 (2018).
Sattler, K. M., Deane, F. P., Tapsell, L. & Kelly, P. J. Gender differences in the relationship of weight-based stigmatisation with motivation to exercise and physical activity in overweight individuals. Health Psychol. Open 5, 2055102918759691 (2018).
Jackson, S. E. & Steptoe, A. Association between perceived weight discrimination and physical activity: a population-based study among English middle-aged and older adults. BMJ Open 7, e014592 (2017).
Sutin, A. R. & Terracciano, A. Perceived weight discrimination and obesity. PLoS One 8, e70048 (2013).
Hunger, J. M. & Tomiyama, A. J. Weight labeling and obesity: a longitudinal study of girls aged 10 to 19 years. JAMA Pediatr. 168, 579–580 (2014).
Quick, V., Wall, M., Larson, N., Haines, J. & Neumark-Sztainer, D. Personal, behavioral and socio-environmental predictors of overweight incidence in young adults: 10-yr longitudinal findings. Int. J. Behav. Nutr. Phys. Act. 10, 37 (2013).
Puhl, R. M. et al. Experiences of weight teasing in adolescence and weight-related outcomes in adulthood: A 15-year longitudinal study. Prev. Med. 100, 173–179 (2017).
Sutin, A. R., Stephan, Y., Luchetti, M. & Terracciano, A. Perceived weight discrimination and C-reactive protein. Obesity 22, 1959–1961 (2014).
Jackson, S. E., Kirschbaum, C. & Steptoe, A. Perceived weight discrimination and chronic biochemical stress: a population-based study using cortisol in scalp hair. Obesity 24, 2515–2521 (2016).
Vadiveloo, M. & Mattei, J. Perceived weight discrimination and 10-year risk of allostatic load among US adults. Ann. Behav. Med. 51, 94–104 (2017).
Sutin, A. R., Stephan, Y. & Terracciano, A. Weight discrimination and risk of mortality. Psychol. Sci. 26, 1803–1811 (2015).
Gudzune, K. A., Bennett, W. L., Cooper, L. A. & Bleich, S. N. Patients who feel judged about their weight have lower trust in their primary care providers. Patient Educ. Couns. 97, 128–131 (2014).
Puhl, R., Peterson, J. L. & Luedicke, J. Motivating or stigmatizing? Public perceptions of weight-related language used by health providers. Int. J. Obes. 37, 612–619 (2013).
Aldrich, T. & Hackley, B. The impact of obesity on gynecologic cancer screening: an integrative literature review. J. Midwifery Womens Health 55, 344–356 (2010).
lberga, A., Edache, I., Forhan, M. & Russell-Mayhew, S. Weight bias and health care utilization: A scoping review. Prim. Health Care Res. Dev. 20, E116 (2019).
O’Keeffe, M., Flint, S.W., Watts, K. & Rubino, F. Knowledge gaps and weight stigma shape attitudes toward obesity: insights from the ASK study. Lancet Diabetes Endocrinol. https://doi.org/10.1016/S2213-8587(20)30073-5 (2020).
Dolan, P. et al. Assessment of public attitudes toward weight loss surgery in the United States. JAMA Surg. 154, 264–266 (2019).
Kim, J. J. Evidence base for optimal preoperative preparation for bariatric surgery: does mandatory weight loss make a difference? Curr. Obes. Rep. 6, 238–245 (2017).
Keith, C. J. Jr., Goss, L. E., Blackledge, C. D., Stahl, R. D. & Grams, J. Insurance-mandated preoperative diet and outcomes after bariatric surgery. Surg. Obes. Relat. Dis. 14, 631–636 (2018).
Vartanian, L. R. & Fardouly, J. The stigma of obesity surgery: negative evaluations based on weight loss history. Obes. Surg. 23, 1545–1550 (2013).
Hansen, B. B. & Dye, M. H. Damned if you do, damned if you don’t: the stigma of weight loss surgery. Deviant Behav. 39, 137–147 (2018).
Rubino, F. et al. Metabolic surgery in the treatment algorithm for type 2 diabetes: a joint statement by international diabetes organizations. Diabetes Care 39, 861–877 (2016).
Sjostrom, L. Review of the key results from the Swedish Obese Subjects (SOS) trial: a prospective controlled intervention study of bariatric surgery. J. Intern. Med. 273, 219–234 (2013).
Dixon, J. B. Regional differences in the coverage and uptake of bariatric-metabolic surgery: A focus on type 2 diabetes. Surg. Obes. Relat. Dis. 12, 1171–1177 (2016).
Gruskin, S., Mann, J. & Tarantola, D. Past, present, and future: AIDS and human rights. Health Hum. Rights 2, 1–3 (1998).
Parker, R. & Aggleton, P. HIV and AIDS-related stigma and discrimination: a conceptual framework and implications for action. Soc. Sci. Med. 57, 13–24 (2003).
Callahan, D. Obesity: chasing an elusive epidemic. Hastings Cent. Rep. 43, 34–40 (2013).
Puhl, R. M. & Heuer, C. A. The stigma of obesity: a review and update. Obesity 17, 941–964 (2009).
Puhl, R. & Suh, Y. Health consequences of weight stigma: implications for obesity prevention and treatment. Curr. Obes. Rep. 4, 182–190 (2015).
Rudolph, C. W., Wells, C. L., Weller, M. D. & Baltes, B. B. A meta‐analysis of empirical studies of weight‐based bias in the workplace. J. Vocat. Behav. 74, 1–10 (2009).
Schulte, P. A. et al. Work, obesity, and occupational safety and health. Am. J. Public Health 97, 428–436 (2007).
Agerström, J. & Rooth, D. O. The role of automatic obesity stereotypes in real hiring discrimination. J. Appl. Psychol. 96, 790–805 (2011).
Flint, S. W. & Snook, J. Obesity and discrimination: the next ‘big issue’? International J. Discrimination Law 14, 183–193 (2014).
Flint, S. W. et al. Obesity discrimination in the recruitment process: “You’re not hired!”. Front. Psychol. 7, 647 (2016).
Tyrrell, J. et al. Height, body mass index, and socioeconomic status: mendelian randomisation study in UK Biobank. Br. Med. J. 352, i582 (2016).
Shinall, J. B. Occupational characteristics and the obesity wage penalty. Vanderbilt Law and Economics Research Paper No. 16–12; Vanderbilt Public Law Research Paper No. 16–23, https://ssrn.com/abstract=2379575 (7 October 2015).
Rushing, B. et al. An Act making discrimination on the basis of height and weight unlawful. Commonwealth of Massachusetts Bill H.952, https://malegislature.gov/Bills/190/H952 (18 January 2017).
Pomeranz, J. L. & Puhl, R. M. New developments in the law for obesity discrimination protection. Obesity 21, 469–471 (2013).
Equality and Human Rights Commission. Equality Act 2010. http://www.legislation.gov.uk/ukpga/2010/15/contents (2010).
Persky, S. & Eccleston, C. P. Impact of genetic causal information on medical students’ clinical encounters with an obese virtual patient: health promotion and social stigma. Ann. Behav. Med. 41, 363–372 (2011).
Hilbert, A. et al. Causal attributions of obese men and women in genetic testing: implications of genetic/biological attributions. Psychol. Health 24, 749–761 (2009).
Teachman, B. A., Gapinski, K. D., Brownell, K. D., Rawlins, M. & Jeyaram, S. Demonstrations of implicit anti-fat bias: the impact of providing causal information and evoking empathy. Health Psychol. 22, 68–78 (2003).
Puhl, R. M. et al. A multinational examination of weight bias: predictors of anti-fat attitudes across four countries. Int. J. Obes. 39, 1166–1173 (2015).
Barry, C. L., Jarlenski, M., Grob, R., Schlesinger, M. & Gollust, S. E. News media framing of childhood obesity in the United States from 2000 to 2009. Pediatrics 128, 132–145 (2011).
Kim, S. H. & Willis, L. A. Talking about obesity: news framing of who is responsible for causing and fixing the problem. J. Health Commun. 12, 359–376 (2007).
Blaine, B. & McElroy, J. Selling stereotypes: weight loss infomercials, sexism, and weightism. Sex Roles 46, 351–357 (2002).
Puhl, R. M. et al. Potential policies and laws to prohibit weight discrimination: public views from 4 countries. Milbank Q. 93, 691–731 (2015).
Hilbert, A. et al. Public support for weight-related antidiscrimination laws and policies. Obes. Facts 10, 101–111 (2017).
Morton, G. J., Cummings, D. E., Baskin, D. G., Barsh, G. S. & Schwartz, M. W. Central nervous system control of food intake and body weight. Nature 443, 289–295 (2006).
Hall, K. D. et al. Energy balance and its components: implications for body weight regulation. Am. J. Clin. Nutr. 95, 989–994 (2012).
Leibel, R. L., Rosenbaum, M. & Hirsch, J. Changes in energy expenditure resulting from altered body weight. N. Engl. J. Med. 332, 621–628 (1995).
Hall, K. D., Kerns, J. C., Brychta, R. & Knuth, N. D. Response to “Overstated metabolic adaptation after ‘The Biggest Loser’ intervention”. Obesity 24, 2026 (2016).
Colley, R. C. et al. Physical activity of Canadian children and youth: accelerometer results from the 2007 to 2009 Canadian Health Measures Survey. Health Rep. 22, 15–23 (2011).
Colley, R. C. et al. Physical activity of Canadian adults: accelerometer results from the 2007 to 2009 Canadian Health Measures Survey. Health Rep. 22, 7–14 (2011).
Pontzer, H. et al. Hunter-gatherer energetics and human obesity. PLoS One 7, e40503 (2012).
Maes, H. H., Neale, M. C. & Eaves, L. J. Genetic and environmental factors in relative body weight and human adiposity. Behav. Genet. 27, 325–351 (1997).
Heindel, J. J., Newbold, R. & Schug, T. T. Endocrine disruptors and obesity. Nat. Rev. Endocrinol. 11, 653–661 (2015).
Chassaing, B. et al. Dietary emulsifiers impact the mouse gut microbiota promoting colitis and metabolic syndrome. Nature 519, 92–96 (2015).
Arble, D. M., Bass, J., Laposky, A. D., Vitaterna, M. H. & Turek, F. W. Circadian timing of food intake contributes to weight gain. Obesity 17, 2100–2102 (2009).
Tremblay, A. & Chaput, J. P. About unsuspected potential determinants of obesity. Appl. Physiol. Nutr. Metab. 33, 791–796 (2008).
Keith, S. W. et al. Putative contributors to the secular increase in obesity: exploring the roads less traveled. Int. J. Obes. 30, 1585–1594 (2006).
McAllister, E. J. et al. Ten putative contributors to the obesity epidemic. Crit. Rev. Food Sci. Nutr. 49, 868–913 (2009).
Börjeson, M. The aetiology of obesity in children. A study of 101 twin pairs. Acta Paediatr. Scand. 65, 279–287 (1976).
Stunkard, A. J. et al. An adoption study of human obesity. N. Engl. J. Med. 314, 193–198 (1986).
Sharma, A. M. & Padwal, R. Obesity is a sign - over-eating is a symptom: an aetiological framework for the assessment and management of obesity. Obes. Rev. 11, 362–370 (2010).
Kaplan, L. M. et al. Perceptions of barriers to effective obesity care: results from the national ACTION study. Obesity 26, 61–69 (2018).
Bray, G. A., Kim, K. K. & Wilding, J. P. H., World Obesity, F. Obesity: a chronic relapsing progressive disease process. A position statement of the World Obesity Federation. Obes. Rev. 18, 715–723 (2017).
Franz, M. J. et al. Weight-loss outcomes: a systematic review and meta-analysis of weight-loss clinical trials with a minimum 1-year follow-up. J. Am. Diet. Assoc. 107, 1755–1767 (2007).
Wadden, T. A. et al. A two-year randomized trial of obesity treatment in primary care practice. N. Engl. J. Med. 365, 1969–1979 (2011).
Sumithran, P. et al. Long-term persistence of hormonal adaptations to weight loss. N. Engl. J. Med. 365, 1597–1604 (2011).
Cummings, D. E. & Rubino, F. Metabolic surgery for the treatment of type 2 diabetes in obese individuals. Diabetologia 61, 257–264 (2018).
Batterham, R. L. & Cummings, D. E. Mechanisms of Diabetes Improvement Following Bariatric/Metabolic Surgery. Diabetes Care 39, 893–901 (2016).
We thank O. Barata Cavalcanti from the World Obesity Federation (WOF) for her critical role in this consensus conference as moderator of the Delphi process, and E. Papada, D. Qanaq, G. Chamseddine, S. Cremona, and M.F. Russo from King’s College London for their assistance with formatting of tables. We acknowledge contributions of W. Cefalu, who participated as a member of the expert panel in his role of Chief Scientific, Medical and Mission Officer of the American Diabetes Association. The face-to-face meeting of the expert panel was hosted by the WCITD2019, which supported travel expenses. WCITD2019 was managed by Kenes Group and was supported by Medtronic (major sponsor), Ethicon (major sponsor), Novo Nordisk, Fractyl Laboratories, GI Dynamics, Cairn Diagnostics, Keyron, and Aventic Group. These sponsors played no role in the selection of voting delegates, the Delphi process, the WCITD2019 program, or the writing of this paper.
None of the members of the organizing committee (F.R., D.E.C., D.H.R. and J.B.D.) and none of the voting members of the expert panel received payment for their participation. Travel expenses for the face-to-face meeting of the expert panel were supported by Medtronic, Ethicon, Novo Nordisk, Fractyl Laboratories, GI Dynamics, Cairn Diagnostics, Keyron, and Aventic Group. C.M.A. has participated on advisory boards for Nutrisystem, Zafgen, Sanofi-Aventis, Orexigen, EnteroMedics, GI Dynamics, Gelesis, Novo Nordisk, Bariatrix, Xeno Biosciences, Rhythm Pharmaceuticals, Eisai, and Scientific Intake; has received research funding from Aspire Bariatrics, GI Dynamics, Takeda, the Vela Foundation, Gelesis, Energesis, Coherence Lab, and Novo Nordisk; and owns stock in Science-Smart LLC. L.J.A. has received consulting fees from and serves on advisory boards for Jamieson Laboratories, Pfizer, Novo Nordisk, Eisai, Real Appeal, Janssen, and Gelesis; has also received research funding from Aspire Bariatrics, Allurion, Eisai, AstraZeneca, Gelesis, Janssen, Eli Lily, and Novo Nordisk; serves on the board of directors for Intellihealth/BMIQ, MYOS, and Jamieson Laboratories; and has equity in Intellihealth/BMIQ, ERX, Zafgen, Gelesis, MYOS, and Jamieson Laboratories. R.L.B. is a principle investigator for clinical trials funded by Novo Nordisk and Fractyl (all funds go directly to the institution); and has consultancy agreements with Novo Nordisk, Pfizer, GSK, and International Medical Press. C.B. is a principal investigator on a study of metabolic surgery funded by Prodigies; and has received fees from Ethicon Endosurgery. B.L. is on the Scientific Advisory Board of Novo Nordisk; has received speaker fees from Bruno Farmaceutici; and has a research grant from Enzymmanagemen. D.E.C. is on the Scientific Advisory Boards of G.I. Dynamics, DyaMx, Magnamosis, and Metavention. J.B.D. has consultancies with Bariatric Advantage, iNova, and Reshape; is on advisor boards for Novo Nordisk and Nestlé Health Science; and receives research support from NHMRC. M.deG. has received funds from Lifescan Diabetes Institute, Inc., and the Kenner Family Foundation. R.H.E. has received funds from Amgen, Kowa, Sanofi, and Novo Nordisk. S.W.F. has received from Novo Nordisk for travel; and support for working with media. L.M.K. has received funds from Boehringer Ingelheim, Ethicon, Gelesis, GI Dynamics, Johnson & Johnson, Pfizer, Novo Nordisk, and Rhythm Pharmaceuticals. J.P.K. has received grants and research support from the National Institutes of Health, Ethicon, Covidien, Metagenics, Alliance for Potato Research and Education, CrossFit, Nestlé Research, General Mills, and Robard Corporation; is on advisory panels for Bristol-Myers Squibb, AstraZeneca, Novo Nordisk, and Cereal Partners; and receives speaker fees from Elli Lilly, Pfizer, and ILSI. J.K. is on the scientific advisory board of Digma Medical, GI Dynamics, and Applied Biosciences; and consults for Esquagama. T.K.K. has received consulting fees from Tivity Health, Novo Nordisk, and Gelesis. C.W.leR. is on the advisory boards and speaker bureaus for NovoNordisk, GI Dynamics, Keyron, Herbalife, Sanofi, Johnson & Johnson, Medtronic, and Boehringer Ingelheim; and owns shares in Keyron. J.I.M. has received honoraria for lectures and program development from Abbott Nutrition. G.M. has received fees for consultations from Novo Nordisk, Johnson & Johnson, and Fractyl Inc. J.N. is an employee of the Obesity Action Coalition. R.M.P. has received research grant support from the Rudd Foundation, and WW, Inc. F.R. is on advisory boards for GI Dynamics, Keyron, and NovoNordisk; has received consulting fees from Ethicon Endosurgery and Medtronic; and has received research funding from Ethicon Endosurgery and Medtronic. D.H.R. has an equity interest in start-up companies engaged in various aspects of weight management (Gila Therapeutics, Scientific Intake, Xeno Biosciences, Epitomee, and Calibrate); is on the Speaker’s Bureau of Novo Nordisk and Bausch Health; has served as an advisor or consultant to Alyvent, Amgen, Bausch Health, Boehringer Ingelheim, Epitomee, Gila Therapeutics, IFA Celtic, Janssen, Kensai Therapeutics, Novo Nordisk, Phenomix, Real Appeal (United Health), ReDesign Health (Calibrate), Sanofi, and Scientific Intake; and serves on the steering committee for the SELECT cardiovascular outcome trial for Novo Nordisk’s investigational product semaglutide. P.R.S. is a Board Member and Advisory Panel member for GI Dynamics; has consulted for Ethicon, Medtronic, WL Gore, and BD Surgical; has received research support from Ethicon, NIH, Medtronic, and Pacira; and has equity in SEHQC and LLC. R.J.S. receives research support from Novo Nordisk, Pfizer, Kintai, Ionis, Zafgen, and Astra Zeneca; has received consulting fees from Novo Nordisk, Kintai, Ionis, Sanofi, and Scohia; and has equity in ReDesign Health and Zafgen. T.D. is an employee of Diabetes UK.
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Rubino, F., Puhl, R.M., Cummings, D.E. et al. Joint international consensus statement for ending stigma of obesity. Nat Med 26, 485–497 (2020). https://doi.org/10.1038/s41591-020-0803-x
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