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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
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In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...
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Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...
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Obesity significantly alters the pharmacokinetic processes of drug absorption and distribution, presenting unique challenges in medical treatment. The increased fat tissue and decreased lean muscle in obese individuals can significantly affect how drugs are absorbed into the body and distributed across different tissues. This alteration can lead to variances in the effectiveness and safety of medications, necessitating adjustments in dosing or drug selection for obese patients.One notable...
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Drug metabolism, a critical process in the liver, involves two primary phases: Phase I reactions and Phase II conjugation. Obesity introduces significant alterations in this metabolic process, primarily due to fatty infiltration of the liver, leading to conditions such as nonalcoholic fatty liver disease (NAFLD). This condition can modify the activities of both Phase I and II enzymes, impacting how drugs are metabolized in obese patients.Phase I metabolism sees variable effects across...
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Binge eating disorder is a significant mental health condition characterized by recurrent episodes of excessive food consumption within a short period, accompanied by a perceived loss of control over eating behavior. Unlike occasional overeating, binge eating disorder is marked by distressing emotions such as guilt, shame, and anxiety following binge episodes. The disorder affects individuals across different ages and backgrounds, with profound implications for physical and psychological...
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Updated: Apr 15, 2026

Multidisciplinary Approach to Obesity Management: A Case Report
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Diffusing obesity myths.

X Ramos Salas1, M Forhan, A M Sharma

  • 1School of Public Health and Canadian Obesity Network, University of Alberta, Edmonton, Alberta, Canada.

Clinical Obesity
|April 1, 2015
PubMed
Summary
This summary is machine-generated.

Obesity myths are common in healthcare and public spheres, contributing to weight bias. Evidence-based facts can educate, but multilevel strategies are needed to effectively reduce obesity stigma.

Keywords:
Obesity stigmamyth/fact message formatmyths

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Area of Science:

  • Public Health
  • Medical Education
  • Sociology of Health

Background:

  • Obesity misinformation fuels weight bias and stigma.
  • Educational tools countering myths with facts can improve knowledge and reduce stigma.

Purpose of the Study:

  • Identify prevalent obesity myths in healthcare and public domains.
  • Develop evidence-based counterarguments to debunk these myths.
  • Assess the potential effectiveness of myth-fact messages in reducing weight bias.

Main Methods:

  • Online search of grey literature, media, and public health sources to identify obesity myths.
  • Development and expert validation of 10 common obesity myths and their counterarguments.
  • Survey of obesity experts and health professionals on myth-fact message usability and effectiveness.

Main Results:

  • All 10 identified obesity myths were found to be pervasive in Canadian healthcare and public domains.
  • While myth-fact messages were endorsed, respondents believed they alone would be insufficient to reduce weight bias.
  • A significant portion of surveyed professionals (61.5%) completed the usability and effectiveness survey.

Conclusions:

  • Addressing deeply ingrained obesity myths requires comprehensive, multilevel approaches.
  • Evidence-based counterarguments are valuable but necessitate broader strategies for stigma reduction.
  • Further research into effective multilevel interventions for obesity stigma is warranted.