Case Studies | Male (42) Obesity
- Author
- Bodytrack
- Published
- Thu 13 Jan 2022
- Episode Link
- https://bodytrackacademy.podbean.com/e/case-studies-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.mdpi.com/2072-6643/8/1/2
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
