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Obesity

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...

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Related Experiment Video

Updated: Jul 3, 2026

Multidisciplinary Approach to Obesity Management: A Case Report

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

An Internet-based weight loss programme -- a feasibility study with preliminary results from 4209 completers.

J Jonasson¹, Y Linné, M Neovius

¹Obesity Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden. Josefine.Jonasson@ki.se

Scandinavian Journal of Public Health

|August 8, 2008

Summary

This study found that increased activity in an internet-based weight club, like frequent logins and diary entries, predicted weight loss in users. High accessibility and low cost make this program delivery method promising for further development, especially to reduce dropout rates.

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Last Updated: Jul 3, 2026

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Published on: May 30, 2025

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Published on: April 19, 2019

Area of Science:

Obesity research
Digital health interventions
Behavioral science

Background:

Internet-based weight management programs offer accessible solutions for individuals seeking to address weight problems.
Understanding user characteristics and success factors is crucial for optimizing these digital health interventions.

Purpose of the Study:

To identify characteristics of individuals using an internet-based weight management program.
To determine predictors of long-term success within this digital health platform.

Main Methods:

Utilized an internet-based weight club (www.viktklubb.se) with algorithms for Body Mass Index (BMI), food energy, and exercise energy calculations.
Collected baseline data, treatment success, attrition, and program component usage, automatically monitored and downloaded to a database.

Main Results:

The study population was predominantly female (86%) with a wide age range and a mean BMI indicating overweight or obesity.
Among completers, 16% achieved normal weight, with significant weight loss (5-9.9% or >=10% of initial body weight) observed.
Higher activity levels (logins, diary entries) and male sex were the strongest predictors of weight loss.

Conclusions:

Significant dose-response relationships were found between program activity and weight loss among completers.
The internet-based program demonstrates potential due to its low cost and 24-hour accessibility.
Further development is warranted, particularly focusing on strategies to mitigate attrition rates.