Recent studies indicate that individuals with substantial body fat in their abdominal or arm regions may face a higher risk of developing neurodegenerative diseases like Alzheimer’s and Parkinson’s. The prevalence of these conditions is on the rise globally.
The research also revealed that individuals with strong muscle strength are less likely to be subject to these diseases compared to those with weaker muscles. It’s essential to find methods to alter risk factors and create preventive measures for those at risk. Focusing on reducing fat in the belly and arms, while encouraging healthy muscle growth, might offer better protection against these diseases than weight management strategies.
The study had a total of 412,691 participants with a mean age of 56, and were monitored over an average duration of 9 years. Initially, researchers evaluated body composition by measuring waist and hip circumferences, as well as assessing fat and lean mass alongside bone health.
The researchers accounted for other potential influences like hypertension, smoking, alcohol consumption, and diabetes. The findings showed that individuals with considerable abdominal fat were 13% more prone to neurodegenerative conditions, a trend more pronounced in men than women. Participants with excess fat in their arms faced an 18% higher risk of developing these diseases. On a positive note, strong muscle strength significantly reduced the risk, lowering it by over 25%.
The study suggests that adopting a healthier body composition by decreasing belly and arm fat and enhancing muscle growth could be more beneficial in warding off neurological diseases. It is recommended that people improve their body composition as a potential strategy to counter these risks by implementing lifestyle changes such as weight training, minimizing sedentary habits, and eating a healthy, balanced diet.
To view the original scientific study click below:
Association Between Body Composition Patterns, Cardiovascular Disease, and Risk of Neurodegenerative Disease in the UK Biobank
