Language Frames and Shapes the Response to Obesity.

Because the scientific understanding of obesity has grown, explicit expressions of weight bias have steadily become less acceptable. However, implicit weight bias and stigma remain common impediments to health. Language frames the public perception of obesity. It is problematic when public discourse or scientific publications reflect misinformation or bias against people with obesity because this can promote stigma and barriers to health. Examples of stigmatizing language include descriptions of obesity as an identity rather than a disease, language that describes obesity as a crisis or a cause for panic, and excessive focus on weight or appearance rather than health outcomes.

Incomplete Data and Potential Risks of Drugs in People with Obesity.

PURPOSE OF REVIEW: To provide examples of knowledge gaps in current pharmaceutical treatments for people with obesity and call for changes to regulatory and pharmaceutical clinical research requirements during the drug discovery and development process. RECENT FINDINGS: Treatment of obesity and its comorbidities often require the use of prescription drugs, many of which have not been fully evaluated in people with obesity. Despite a growing body of research on this topic, the impact of obesity on the pharmacokinetics and pharmacodynamics of drugs is often under-studied by drug sponsors and regulators, and subsequently underappreciated by clinicians and caretakers. There are currently multiple opportunities for pharmaceuticals to include dosing information specifically for patients with obesity in order to ensure safety and efficacy of drugs in this population. Additionally, there are serious gaps between what is known about the effects of obesity on drug disposition and the current use of drugs according to drug prescribing information and clinical practice. There is currently no requirement to test drugs in people with obesity during the drug approval process, even when preliminary data suggests there may be altered kinetics in this population. The lack of information on the safe and effective use of drugs in people with obesity may be contributing to poorer health outcomes in this population.

Eating disorders in weight-related therapy (EDIT): Protocol for a systematic review with individual participant data meta-analysis of eating disorder risk in behavioural weight management.

The Eating Disorders In weight-related Therapy (EDIT) Collaboration brings together data from randomised controlled trials of behavioural weight management interventions to identify individual participant risk factors and intervention strategies that contribute to eating disorder risk. We present a protocol for a systematic review and individual participant data (IPD) meta-analysis which aims to identify participants at risk of developing eating disorders, or related symptoms, during or after weight management interventions conducted in adolescents or adults with overweight or obesity. We systematically searched four databases up to March 2022 and clinical trials registries to May 2022 to identify randomised controlled trials of weight management interventions conducted in adolescents or adults with overweight or obesity that measured eating disorder risk at pre- and post-intervention or follow-up. Authors from eligible trials have been invited to share their deidentified IPD. Two IPD meta-analyses will be conducted. The first IPD meta-analysis aims to examine participant level factors associated with a change in eating disorder scores during and following a weight management intervention. To do this we will examine baseline variables that predict change in eating disorder risk within intervention arms. The second IPD meta-analysis aims to assess whether there are participant level factors that predict whether participation in an intervention is more or less likely than no intervention to lead to a change in eating disorder risk. To do this, we will examine if there are differences in predictors of eating disorder risk between intervention and no-treatment control arms. The primary outcome will be a standardised mean difference in global eating disorder score from baseline to immediately post-intervention and at 6- and 12- months follow-up. Identifying participant level risk factors predicting eating disorder risk will inform screening and monitoring protocols to allow early identification and intervention for those at risk.

American Association of Clinical Endocrinology Consensus Statement: Addressing Stigma and Bias in the Diagnosis and Management of Patients with Obesity/Adiposity-Based Chronic Disease and Assessing Bias and Stigmatization as Determinants of Disease Severity.

OBJECTIVE: To focus on the intersection of perception, diagnosis, stigma, and weight bias in the management of obesity and obtain consensus on actionable steps to improve care provided for persons with obesity. METHODS: The American Association of Clinical Endocrinology (AACE) convened a consensus conference of interdisciplinary health care professionals to discuss the interplay between the diagnosis of obesity using adiposity-based chronic disease (ABCD) nomenclature and staging, weight stigma, and internalized weight bias (IWB) with development of actionable guidance to aid clinicians in mitigating IWB and stigma in that context. RESULTS: The following affirmed and emergent concepts were proposed: (1) obesity is ABCD, and these terms can be used in differing ways to communicate; (2) classification categories of obesity should have improved nomenclature across the spectrum of body mass index (BMI) using ethnic-specific BMI ranges and waist circumference (WC); (3) staging the clinical severity of obesity based on the presence and severity of ABCD complications may reduce weight-centric contribution to weight stigma and IWB; (4) weight stigma and internalized bias are both drivers and complications of ABCD and can impair quality of life, predispose to psychological disorders, and compromise the effectiveness of therapeutic interventions; (5) the presence and of stigmatization and IWB should be assessed in all patients and be incorporated into the staging of ABCD severity; and (6) optimal care will necessitate increased awareness and the development of educational and interventional tools for health care professionals that address IWB and stigma. CONCLUSIONS: The consensus panel has proposed an approach for integrating bias and stigmatization, psychological health, and social determinants of health in a staging system for ABCD severity as an aid to patient management. To effectively address stigma and IWB within a chronic care model for patients with obesity, there is a need for health care systems that are prepared to provide evidence-based, person-centered treatments; patients who understand that obesity is a chronic disease and are empowered to seek care and participate in behavioral therapy; and societies that promote policies and infrastructure for bias-free compassionate care, access to evidence-based interventions, and disease prevention.

Eating Disorders In weight-related Therapy (EDIT) Collaboration: rationale and study design.

The cornerstone of obesity treatment is behavioural weight management, resulting in significant improvements in cardio-metabolic and psychosocial health. However, there is ongoing concern that dietary interventions used for weight management may precipitate the development of eating disorders. Systematic reviews demonstrate that, while for most participants medically supervised obesity treatment improves risk scores related to eating disorders, a subset of people who undergo obesity treatment may have poor outcomes for eating disorders. This review summarises the background and rationale for the formation of the Eating Disorders In weight-related Therapy (EDIT) Collaboration. The EDIT Collaboration will explore the complex risk factor interactions that precede changes to eating disorder risk following weight management. In this review, we also outline the programme of work and design of studies for the EDIT Collaboration, including expected knowledge gains. The EDIT studies explore risk factors and the interactions between them using individual-level data from international weight management trials. Combining all available data on eating disorder risk from weight management trials will allow sufficient sample size to interrogate our hypothesis: that individuals undertaking weight management interventions will vary in their eating disorder risk profile, on the basis of personal characteristics and intervention strategies available to them. The collaboration includes the integration of health consumers in project development and translation. An important knowledge gain from this project is a comprehensive understanding of the impact of weight management interventions on eating disorder risk.

Person-first language in diabetes and obesity scientific publications.

AIMS: We aimed to quantify the use of person-first language (PFL) among scholarly articles focusing on diabetes or obesity. METHODS: PFL and condition-first language (CFL) terms for diabetes and obesity (e.g. diabetic, obese) were identified from existing guidelines and a review of the literature. Exact phrase literature searches were conducted between 2011 and 2020 and results were categorised as PFL, CFL or both. RESULTS: Among diabetes articles, 43% used PFL, 40% used CFL and 17% contained both. Among obesity articles, 0.5% used PFL, 99% used CFL and 0.2% used both. The use of PFL increased by 3% per year for diabetes articles, compared to 117% for obesity articles. The rate of adoption of PFL in diabetes articles was unchanged in 2018-2020 compared to the 3 years prior. CONCLUSIONS: While the use of person-first language in diabetes articles had increased over the review period, its rate of adoption has started to slow. Conversely, the use of PFL in obesity articles is nascent and increasing.

Proposal of an obesity classification based on weight history: an official document by the Brazilian Society of Endocrinology and Metabolism (SBEM) and the Brazilian Society for the Study of Obesity and Metabolic Syndrome (ABESO).

Obesity is a chronic disease associated with impaired physical and mental health. A widespread view in the treatment of obesity is that the goal is to normalize the individual's body mass index (BMI). However, a modest weight loss (usually above 5%) is already associated with clinical improvement, while weight losses of 10%-15% bring even further benefits, independent from the final BMI. The percentage of weight reduction is accepted as a treatment goal since a greater decrease in weight is frequently difficult to achieve due to metabolic adaptation along with environmental and lifestyle factors. In this document, the Brazilian Society of Endocrinology and Metabolism (SBEM) and the Brazilian Society for the Study of Obesity and Metabolic Syndrome (ABESO) propose a new obesity classification based on the maximum weight attained in life (MWAL). In this classification, individuals losing a specific proportion of weight are classified as having "reduced" or "controlled" obesity. This simple classification - which is not intended to replace others but to serve as an adjuvant tool - could help disseminate the concept of clinical benefits derived from modest weight loss, allowing individuals with obesity and their health care professionals to focus on strategies for weight maintenance instead of further weight reduction. In future studies, this proposed classification can also be an important tool to evaluate possible differences in therapeutic outcomes between individuals with similar BMIs but different weight trajectories.

Proposal of an obesity classification based on weight history: an official document by the Brazilian Society of Endocrinology and Metabolism (SBEM) and the Brazilian Society for the Study of Obesity and Metabolic Syndrome (ABESO)

ABSTRACT Obesity is a chronic disease associated with impaired physical and mental health. A widespread view in the treatment of obesity is that the goal is to normalize the individual's body mass index (BMI). However, a modest weight loss (usually above 5%) is already associated with clinical improvement, while weight losses of 10%-15% bring even further benefits, independent from the final BMI. The percentage of weight reduction is accepted as a treatment goal since a greater decrease in weight is frequently difficult to achieve due to metabolic adaptation along with environmental and lifestyle factors. In this document, the Brazilian Society of Endocrinology and Metabolism (SBEM) and the Brazilian Society for the Study of Obesity and Metabolic Syndrome (ABESO) propose a new obesity classification based on the maximum weight attained in life (MWAL). In this classification, individuals losing a specific proportion of weight are classified as having "reduced" or "controlled" obesity. This simple classification - which is not intended to replace others but to serve as an adjuvant tool - could help disseminate the concept of clinical benefits derived from modest weight loss, allowing individuals with obesity and their health care professionals to focus on strategies for weight maintenance instead of further weight reduction. In future studies, this proposed classification can also be an important tool to evaluate possible differences in therapeutic outcomes between individuals with similar BMIs but different weight trajectories.

Overcoming congressional inertia on obesity requires better literacy in obesity science.

Obesity-focused health policies, including the landmark Treat and Reduce Obesity Act, have stalled at the federal level over the past decade. Congressional inaction on obesity reflects both misconceptions of obesity as a lifestyle choice and limited awareness for the burden obesity imposes on our health care system. Given these challenges, we argue that health professionals must bolster their efforts to partner with public figures with obesity and to directly educate the public. These strategies may help destigmatize obesity and build awareness of obesity as a disease. Furthermore, we suggest that these strategies may empower patients to flex their unrealized political muscle and demand more from their elected leaders. A bold, multilevel approach that elicits a public demand for change can propel obesity policy into the 21st century.

Moving Toward Health Policy that Respects Both Science and People Living with Obesity.

Through four decades of rising obesity, health policy has been mostly ineffective. Prevention policies failed to reverse rising trends in prevalence, partly because they are often based on biased mental models about what should work to prevent obesity, rather than empiric evidence for what does work. Bias toward people living with obesity harms health, while contributing to poor access to effective care that might serve to improve it. Better public policy will come from an increased application of objective obesity science, research to fill knowledge gaps, and respect for the human dignity of people who live with obesity.

Caring for US Children: Barriers to Effective Treatment in Children with the Disease of Obesity.

In 2020, impediments to pediatric obesity (PO) treatment remain pervasive, even though these barriers are clearly documented in medical literature. Providers must invest considerable resources to overcome these barriers to care. Notable barriers include gaps in medical education, misperceptions of the disease, weight bias and stigma, exclusion of coverage in health plans, and thus an unsustainable financial framework. Hence, this review offers an updated social-ecological framework of accessibility to care, wherein each barrier to care or variable is interdependent on the other and each is critical to creating forward momentum. The sum of all these variables is instrumental to overall smooth function, configured as a wheel. To treat PO effectively, all variables must be adequately addressed by stakeholders throughout the health care system in order to holistically comprehend and appreciate undertakings to advance the burgeoning field of PO medicine.

Addressing psychosocial health in the treatment and care of adolescents with obesity.

Obesity affects 158 million youth worldwide and is associated with psychosocial comorbidity. This review describes weight management options utilized by adolescents, including both self-directed weight loss and medically supervised obesity treatment interventions, and associated psychosocial impacts. A majority of adolescents with obesity attempt to manage weight on their own, primarily through attempting weight loss, sometimes with supplement use. Approaches such as these are associated with a degree of risk, disordered eating behaviors, and further weight gain. In contrast, medically supervised multicomponent interventions are associated with improved psychosocial health, including quality of life, self-esteem, and body image, and reduced symptoms of depression, anxiety, and eating disorders. Few studies utilizing antiobesity pharmacotherapy have reported psychosocial outcomes, and trials of bariatric surgery show some early improvements with a need for sustained psychological support following surgery. Greater access to medically supervised treatment services is required to facilitate obesity care for adolescents. Early data on psychosocial health and obesity treatment offer promising outcomes; however, larger randomized controlled trials and longer-term data are needed. Future research should include both physiological and psychosocial outcomes to assess impact of interventions on the holistic health of adolescents with obesity.

COVID-19 vaccines are effective in people with obesity: A position statement from The Obesity Society.

The position statement is issued by The Obesity Society in response to published literature, as well as inquiries made to the Society by patients, providers, Society members, policy makers, and others regarding the efficacy of vaccines in persons with obesity against SARS-CoV-2, the virus that causes COVID-19. The Obesity Society has critically evaluated data from published peer-reviewed literature and briefing documents from Emergency Use Authorization applications submitted by Pfizer-BioNTech, Moderna, and Johnson & Johnson. We conclude that these vaccines are highly efficacious, and their efficacy is not significantly different in people with and without obesity, based on scientific evidence available at the time of publication. The Obesity Society believes there is no definitive way to determine which of these three COVID-19 vaccines is "best" for any weight subpopulation (because of differences in the trial design and outcome measures in the phase 3 trials, elapsed time between doses, and regional differences in the presence of SARS-CoV-2 variants [e.g., South Africa B.1.351 in Johnson & Johnson trial]). All three trials have demonstrated high efficacy against COVID-19-associated hospitalization and death. Therefore, The Obesity Society encourages adults with obesity ≥18 years (≥16 years for Pfizer-BioNTech) to undergo vaccination with any one of the currently available vaccines authorized for emergency use by the US Food and Drug Administration as soon as they are able.

Food for thought: A natural language processing analysis of the 2020 Dietary Guidelines publice comments.

BACKGROUND: The Administrative Procedure Act of 1946 guarantees the public an opportunity to view and comment on the 2020 Dietary Guidelines as part of the policymaking process. In the past, public comments were submitted by postal mail or public hearings. The convenience of public comment through the Internet has generated increased comment volume, making manual analysis challenging. OBJECTIVES: To apply natural language processing (NLP NLP is natural language processing.) to identify sentiment, emotion, and themes in the 2020 Dietary Guidelines public comments. METHODS: Written comments to the Scientific Report of the 2020 Dietary Guidelines Advisory Committee that were uploaded and visible at https://beta.regulations.gov/docket/FNS-2020-0015 were extracted using a computer program and retained for analysis. All comments were filtered, and duplicates were removed. A 2-round latent Dirichlet analysis (LDA) was used to identify 3 overarching topics as well as subtopics addressed in the comments. Sentiment analysis was applied to categorize emotion and overall positive and negative sentiment within each topic. RESULTS: Three different topics were identified by LDA. The first topic involved negative sentiment surrounding removing dairy from the guidelines because the commenters felt dairy is unnecessary. The second topic focused on positive sentiment involved in restricting added sugars. The third topic was too diverse to characterize under 1 theme. A second LDA within the third topic had 3 subtopics containing positive sentiment. The first subtopic valued the inclusion of dairy in the recommendations, the second involved the health benefits of consuming beef, and the third indicated that the recommendations lead to overall good health outcomes. CONCLUSIONS: Public comments were diverse, held conflicting viewpoints, and often did not base comments on personal anecdotes or opinions without citing scientific evidence. Because the volume of public comments has grown dramatically, NLP has promise to assist in objective analysis of public comment input.