Lack of empirical data on caloric deficit and lean mass loss
💚 healthpersonal problemSingle report ●●●●●
The user is unable to find empirical information or scientific models explaining the relationship between the magnitude of a caloric deficit and the proportion of lean mass lost during weight loss.
What people do today
- Consulting anecdotal bodybuilder forums
- Trial and error with different deficit sizes
- General advice to keep protein intake high
🔧 Fix this
Ideas a builder, maker or community group could start on:
- A meta-analysis aggregator tool that visualizes existing clinical trial data on body composition changes during caloric restriction.
- A predictive calculator app that uses user body fat percentage and deficit size to estimate lean mass retention based on current scientific literature.
- A community-driven data collection platform where users track their body composition changes and deficit levels to build a crowdsourced dataset.
Real voices
“I haven't been able to find much empirical information. This seems strange to me, since this pretty relevant for body builders doing a cut.”
Related problems
💚 healthproduct10 reports
Talkspace app technical instability and poor support
💚 healthproduct9 reportsInefficient calorie logging workflow and poor meal scanning
💚 healthproduct8 reportsLack of shuffle feature in meditation app
FixHumanityDaily
The most important new problems, and ideas to fix them, in your inbox.
Placeholder: no data is collected yet.