Friday , January 27 2023

More fat in the waist means the lower brain


"Extra body fat can lead to brain drain," researchers at Loughborough University in Leicestershire wrote in a study report that measured body mass index (BMI), body weight and body fat ratio to 9652 people in average 55 years. In addition, they were asked about their state of health.

First, it was observed that those study participants who were more obese and had a higher ratio of waist circumference to hips had a lower brain volume.

When the results were erased by other factors that could affect brain size, such as age, exercise, smoking, and high blood pressure, it was found that only larger ITM was associated with a mild brain volume.

In addition, participants with a large ITM and a higher proportion of bandwidth and hips had a smaller volume of gray brain than those who did not have a large relationship between waist and hips. In the volume of the white brain no significant differences were detected.

Obesity causes brain contraction?

Our study found that obesity, especially in the waist, is associated with a smaller volume in the gray area of ​​the brain. It is unclear whether abnormalities in the brain structure cause obesity or obesity can cause such changes in the brain, "said study author Loughborough University professor Mark Hamer.

For the time being, it is not possible to say for sure whether obesity is generating a brain contraction or, not exactly the opposite, that low brain volume leads to overweight.

A study that has hitherto linked brain contraction by reducing memory capacity and increasing the risk of dementia, but has not been sufficiently studied if fatty oily fat has a protective or harmful effect, "Hamer said.

The fat is for people whose BMI is greater than 30. It is the ratio between the weight and height of a person and is calculated by dividing the weight by one square of height. The ratio of the waist circumference to the hip is calculated by dividing the bandwidth with the hip interval – for men, men with this value are over 0.90 and for women over 0.85.

The results of the study were published in an online journal of the American Academy of Neurological Neurology.

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