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Articles Related to Weight Management

Reflections on the Effect of an m Health App in Behavioural Change for Childhood Weight Management

Childhood obesity is a growing problem facing the developed world. This manuscript reports user experiences of the TreCLifeStyle mHealth app to bring about behavioural change.
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Self-Experiencing “The Healthiest Weight”

The Ideal Weight has been an interesting topic for years. The Healthiest Weight should be accurate and unique for everyone. Current methods use the BMI (Body Mass Index) as an indicator of a person’s optimal weight. However, BMI has some issues, leading to inefficient weight management programs. Successful programs should consider the optimal timing for the brain control of weight-presetting, the fundamental of the Lipostat theory, not yet reported in humans. In this study, the bases for successful Weight Management Programs are proposed by BMI sub-categorization, current state-of-the-art mobile technology and self-experimentation. This is the first reported long-term human self-experiment involving successful weight loss, metabolic adaptation and weight-presetting, consistent with the Lipostat theory. New concepts and ideas are raised, setting up the bases for further experimental investigations.
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Editorial Board Members Related to Weight Management

DAVID R. BLACK

Professor Emeritus
Department of Health and Kinesiology
Purdue University
United States
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