5min snip

Optimal Health Daily - Fitness and Nutrition cover image

2650: [Part 1] Study Suggests We're Doomed to Stay Fat by Steve Kamb of Nerd Fitness on Nutrition & Fitness

Optimal Health Daily - Fitness and Nutrition

NOTE

The Grim Reality of Weight Loss: A Study's Disheartening Findings

A study from King's College, London reveals discouraging statistics for weight loss efforts, indicating only a 1 in 210 chance for men and 1 in 124 for women to return to a normal weight after obesity. The study surveyed nearly 279,000 individuals, finding that a mere 1% were successful in losing and maintaining weight after a decade, highlighting the ineffectiveness of conventional methods such as calorie counting and exercise alone. This suggests that once a person is overweight, achieving lasting results becomes extremely difficult, contributing to a sense of hopelessness. Furthermore, mainstream obesity treatments often ignore critical factors impacting sustainable weight loss, such as behavioral psychology, habit formation, motivation, and community support. While caloric deficits do promote short-term weight loss, the broader context of long-term adherence and lifestyle changes is pivotal for real success. The findings emphasize the need for a holistic approach that extends beyond simplistic dietary recommendations, striving for methods that foster genuine and sustainable changes in health and fitness practices.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode