Lose Weight And Burn More Fat Without Exercise With This Meal Timing Strategy! Learn More Here

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Feb 13, 2017 01:13 AM EST

Researchers from University of Alabama at Birmingham are conducting a test to gather evidence, whether changing eating schedule can help in burning fat and weight loss. The initial human test of early time-restricted feeding (eTRF) indicates potential in losing weight.

The eTRF, which is a meal-timing technique decreased swings in hunger and changed the fat and carbohydrate burning patterns, newswise reported. In this meal schedule strategy; people eat their last meal in the mid-afternoon and consume nothing until breakfast the following morning.

The result indicates that eating a very advance dinner, or even skipping dinner might cause weight loss. However, additional studies are needed to confirm this assumption. In a former animal studies, rodents burned more fat using the eTRF strategy. The TOS Early Career Research Grant funded this latest research.

"Eating only during a much smaller window of time than people are typically used to may help with weight loss," Courtney Peterson, Ph.D., an associate professor in the Department of Nutrition Sciences at UAB said.

The scientists found out that eating between 8 a.m. and 2 p.m. followed by an 18-hour daily fast stabilize appetite degree the whole day. The average American meal intake schedule is between 8 a.m. and 8 p.m.

The initial test of eTRF in a human exhibit a similar result to rodent studies. The risks of chronic illnesses in rodents were also found decreased with the meal timing technique. Therefore, humans are likely to be acquiring that benefit as well.

Peterson recommended that fasting should be started with a 9-hour window eating and gradually down to 8, 7 and finally 6 hours, Live Science reported. This kind of fasting is unsuitable for children and pregnant, he added.

Those people with a major chronic disease must consult first to a physician before trying the fasting regimen. The long-term weight loss effect of eTRF is still to be proven with larger participants, the researchers said.

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