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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...
Apparent Weight01:09

Apparent Weight

True weight is the measure of the gravitational force acting on an object. However, if the object accelerates, its measured weight is different from its true weight. Similar observations can be made when the object is submerged in water. An object's weight in water is its apparent weight, which is equal to the difference between its true weight and the buoyant forces.
Consider a person standing on a bathroom scale inside an elevator. If the scale is accurate at rest, its reading equals the...
Energy Balance01:19

Energy Balance

The human body gets energy from the three macronutrients: carbohydrates, proteins, and fats. Energy is released when the chemical bonds in the organic compounds present in the food are broken down. The energy content of food is measured in kilocalories (kcal), defined as the amount of heat required to raise the temperature of one kilogram of water by one degree Celsius. This value is determined by measuring the temperature change of the water surrounding a calorimeter after the complete...
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...
Weighted Mean00:57

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

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Related Experiment Video

Updated: Jun 28, 2026

Control of Eating Behavior Using a Novel Feedback System
04:48

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

Internet-based weight control: the relationship between web features and weight loss.

Rebecca A Krukowski1, Jean Harvey-Berino, Takamaru Ashikaga

  • 1Fay W Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA. RAKrukowski@uams.edu

Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association
|October 29, 2008
PubMed
Summary

Website features offering feedback are crucial for initial weight loss, while social support features aid in long-term weight maintenance in online programs. Understanding these components optimizes digital health interventions.

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Last Updated: Jun 28, 2026

Control of Eating Behavior Using a Novel Feedback System
04:48

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Published on: May 8, 2018

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

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
04:46

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

Area of Science:

  • Digital Health Interventions
  • Behavioral Weight Management
  • Human-Computer Interaction

Background:

  • Internet-based weight control programs demonstrate potential for significant public health impact.
  • Critical website components driving successful weight loss and maintenance remain incompletely understood.

Purpose of the Study:

  • To investigate utilization patterns of a behavioral weight control website.
  • To determine the relationship between specific web features and weight loss/maintenance outcomes.

Main Methods:

  • A 12-month online behavioral weight control program involving 123 participants.
  • Monitoring of participant website utilization patterns throughout the study period.
  • Analysis of web feature usage correlation with weight loss from baseline to 6 months and maintenance.

Main Results:

  • The 'feedback' factor (progress charts, calculators, journals) significantly predicted weight loss during the treatment phase (0-6 months).
  • The 'social support' factor (web chats, contact information) emerged as the strongest predictor for weight maintenance.
  • Dynamic web features providing feedback, support, and motivation were associated with successful weight loss.

Conclusions:

  • Specific website features play distinct roles in different phases of online weight management.
  • Feedback mechanisms are vital for initial weight reduction, whereas social interaction supports long-term maintenance.
  • Tailoring web-based interventions with targeted features can enhance program efficacy.