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Related Concept Videos

Obesity01:24

Obesity

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 adipocytes...
Binge Eating Disorders01:23

Binge Eating Disorders

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...
Modeling in Therapy01:26

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...
Steps in the Modeling Process01:14

Steps in the Modeling Process

Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
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Bulimia Nervosa01:30

Bulimia Nervosa

Bulimia nervosa is a complex and severe eating disorder characterized by a cyclical pattern of binge-and-purge eating pattern. It generally involves an episode of binge eating, followed by compensatory behaviors such as vomiting, excessive exercise, laxative use, or fasting, to prevent weight gain. Despite often maintaining a normal weight, individuals with bulimia are intensely preoccupied with their body image and harbor an overwhelming fear of gaining weight. This can contribute to the...
Regulation of Food Intake01:30

Regulation of Food Intake

Short-term regulation of food intake primarily involves neural signals from the gastrointestinal (GI) tract, blood nutrient levels, and GI tract hormones. Communication between the gut and brain via vagal nerve fibers plays a significant role in evaluating the contents of the gut. Clinical studies have shown that protein ingestion produces a more prolonged response in these nerve fibers compared to an equivalent amount of glucose. Additionally, the activation of stretch receptors caused by GI...

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Multidisciplinary Approach to Obesity Management: A Case Report
05:10

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

Modeling weight-loss maintenance to help prevent body weight regain.

Kevin D Hall1, Peter N Jordan

  • 1Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-5621, USA. kevinh@niddk.nih.gov

The American Journal of Clinical Nutrition
|December 10, 2008
PubMed
Summary

A new mathematical model quantifies lifestyle changes needed for weight loss maintenance. This tool helps obese patients and physicians set realistic goals for sustainable weight management.

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Area of Science:

  • Obesity research
  • Metabolic studies
  • Weight management science

Background:

  • Lifestyle interventions can achieve temporary weight loss in obese individuals.
  • Quantitative tools are lacking to predict lifestyle changes needed for sustained weight loss.
  • Accurate prediction of required dietary and physical activity modifications is crucial for effective weight management.

Purpose of the Study:

  • To develop a mathematical model for predicting steady-state body weight changes based on dietary energy intake.
  • To calculate the necessary adjustments in energy intake for maintaining specific body weight changes.
  • To provide a tool for realistic goal-setting in obesity treatment.

Main Methods:

  • Development of a mathematical model utilizing data from eight longitudinal weight-loss studies.
  • Inclusion of 157 subjects with a wide range of initial body weights (68–160 kg).
  • Analysis of stable weight losses ranging from 7 to 54 kg.

Main Results:

  • Model calculations demonstrated a close match with observed weight changes (R(2) = 0.83) and energy intake changes (R(2) = 0.91).
  • The developed model outperformed previous models, showing significantly lower chi(2) values.
  • The model accurately predicted the proportion of weight change attributable to fat loss (R(2) = 0.90).

Conclusions:

  • The model offers realistic estimations of body weight changes and necessary dietary modifications for weight loss maintenance.
  • Implementation in standard spreadsheet software allows for widespread accessibility and use by healthcare professionals.
  • This tool can aid physicians and weight-management professionals in guiding patients towards sustainable weight management.