There are days when energy is not with us and it seems we are tired. But those who believe are not only one day, but every day by gestures of movement. And they may not be completely wrong. British scientists found that genetics could be created in advance your physical activity in some people, although not in others.
The research was published Nature, and developed by the The Maritime Data Institute from Oxford University, its relevance, for example, the time we go to; sit, sleep or not; move with our gene. The experts made a program and designed "machine learning tool"To make a difference in non-active and active life (and a number of intermediate levels) in 200 volunteers who gave two days a camera and a device that recorded the activity every 20 seconds.
Moving motion, a & # 39; rest or sleep
Then, they compared that information with 91,105 registered people in the Biobank UK database that had the same information. bracelet during a week in previous times.
"How and why we move it does not depend on the genes onlyBut they will understand where they help us to develop our knowledge of the causes and effects of physical activity, "said the director of this project, Aiden Doherty, In a statement, "Just by checking large amounts of data," he said. You can "form the complex genetic foundations" on some of the most fundamental actions, "like moving, breaking or sleeping"
Other possible results in the same study
Scientists said "more physical activity is to reduce blood pressure independently." In addition, the genetic study revealed that "cover"between neurodegenerative diseases, mental health and brain structure, which demonstrates the importance of the strange system in physical activity and sleeping.
Physical non-activity, according to experts, is a danger to the world's public health, with a wide range of diseases associated with unmarried lifestyle, such as obesity, diabetes or cardiovascular problems. In addition, there are changes in sleep related to heart and metabolic diseases and mental disorders.
Pressure inspection experts have been using the "machine learning tool" Analyzing a large amount of health data is rapidly improving and what the conditions of a type of studies that can be developed.
"We designed these toolkit models for teaching tools to analyze complex tasks, such as activity," explained Karl Smith-Byrne, one of the partners in this work. "They could help us, for example, to decide if inactivity is a cause or as a result of obesity"added Michael Holmes, from Oxford University's British Heart Foundation Trust.