Case Studies | Male (42) Obesity

This podcast was about the downfalls of using predictive measures for weight loss, specifically with a client that had hit a plateau with his weight loss. 

More research is finding BMR prediction may only be accurate ∼40% of the time, regardless of gender and weight classification. Furthermore, individuals within the "overweight" classification often metabolise fats and/or carbohydrates very differently which means generic meal/exercise plans may not be appropriate. Listen on to find out what methods and technology can be utilised to help in individualising weight loss methods rather than predictive methods. 

 

https://www.sciencedirect.com/science/article/abs/pii/S1871403X15001118 

• this article found that BMR prediction was only accurate ∼40% of the time, regardless of gender and weight classification. 

https://www.mdpi.com/2072-6643/8/1/2

• This found that overweight individuals with metabolic syndrome or type 2 diabetes had lower capacity for fat metabolism
• Overweight individuals without metabolic conditions tended to utilize fat quite well 
• Therefore utilisng generic exercise and diet guidelines may not be optimal for all overweight individuals