Case Studies | Male (42) Obesity
MP3•Episoder hjem
Manage episode 358716388 series 3460091
Innhold levert av Bodytrack. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Bodytrack eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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
…
continue reading
- this article found that BMR prediction was only accurate ∼40% of the time, regardless of gender and weight classification.
- 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
73 episoder