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Jogging best exercise to cut risk of obesity despite having obesity in genes
Jogging is the best exercise to cut the risk of obesity despite having obesity in genes, revealed a study performed by scientists at the National Taiwan University and colleagues. Genetic obesity is really a tough one to get rid off. This study brings new hope in the life of people who struggle with their weight despite following a strict diet and lifestyle. The study appeared in the August issue of PLOS.
Exercise is the best way to manage weight and ward off obesity is well known. But, not all exercises, particularly when it is genetic, can yield the desired outcomes. This new study of 18,424 Han Chinese adults, aged 30 to 70 years, examined the interactions between the individuals' genetics and their self-reported exercise routines.
The researchers looked specifically at five measures of obesity, such as body mass index (BMI), body fat percentage and waist-to-hip ratio. They found that regular jogging was the best type of exercise for managing obesity, according to the five measures. Moreover, mountain climbing, walking, power walking, certain types of dancing, and long yoga practices also reduce BMI in individuals predisposed to obesity. Surprisingly, cycling, stretching exercises, swimming, and Dance Revolution did not counteract the genetic effects on obesity.
Performing regular exercise was found to attenuate the genetic effects on 4 obesity measures, including BMI, BFP, WC, and HC.
Overall, the study suggests that when it comes to obesity, genetics are not destiny, and the effects can be lessened by several kinds of regular exercise. Previous research has shown that frequent physical activity blunts the genetic effects on obesity, but these studies focused only on BMI.
The new study also considers four other measures of obesity that are more closely linked to metabolic problems. As obesity continues to be a serious public health challenge, the benefits of exercise cannot be overstated.
For reference, click on the link DOI: 10.1371/journal.pgen.1008277
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