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			 Scientists pitted 12 devices like the Fitbit Flex and Jawbone Up24 
			against two proven methods of monitoring energy expenditure – 
			locking people in a room to assess every calorie consumed and 
			burned, or asking people at home to drink specially treated water 
			that makes it possible to detect energy output with a urine test. 
			 
			In the first experiment, measurements from the fitness trackers 
			deviated from the lab results in a typical day by underestimating 
			energy expenditure by as much as 278 calories or overestimating by 
			up to 204 calories. With the second experiment, the devices ranged 
			from 69 to 590 calories lower than the urine tests. 
			 
			The results are troubling because when fitness trackers overestimate 
			exercise, people who need more exercise to maintain or lose weight 
			might get too little activity, increasing their risk for obesity and 
			other chronic health problems, said senior study author Motohiko 
			Miyachi of the National Institute of Health and Nutrition in Tokyo, 
			in an email. 
			  
			Underestimating exercise might be just as dangerous for some people, 
			said Dr. Adam Schoenfeld, a researcher at the University of 
			California, San Francisco and author of an editorial accompanying 
			the study in JAMA Internal Medicine. 
			 
			“For example, it could be quite dangerous if someone with heart 
			disease had inaccurate recordings of their activity and exercise 
			that was being used to make medical decisions,” Schoenfeld said by 
			email. 
			 
			“In healthy persons, use of fitness trackers may not be as risky, 
			especially if the information collected is not used for medical 
			decision-making,” Schoenfeld added. “Still, even for healthy users, 
			it may be difficult to promote health and wellness if these devices 
			are proving inaccurate or variable feedback.” 
			 
			To test the accuracy of fitness trackers for monitoring energy 
			expenditure, Miyachi and colleagues asked nine men and 10 women ages 
			21 to 50 to wear 12 different devices while participating in the two 
			experiments. 
			 
			Eight devices used in the experiments are popular with consumers in 
			Japan – Fitbit Flex, Jawbone UP24, Misfit Shine, Epson Pulsense 
			PS-100, Garmin Vivofit, Tanita AM-160, Omron CalorieScan HJA-403C, 
			and Withings Pulse O2. 
			 
			The other four gadgets have been validated in previous research – 
			Panasonic Actimarker EW 4800, Suzuken Lifecorder EX, Omron Active 
			style Pro HJA-350IT, and ActiGraph GT3X. 
			  
			
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			For the first experiment, participants went into what’s known as a 
			metabolic chamber, a room specially designed to monitor calories 
			consumed and burned, for 24 hours. They got three meals, and they 
			could work at a desk, exercise on a treadmill, watch television, do 
			housework, and sleep while they were in the room. 
			 
			In this airtight chamber, scientists can use a technique known as 
			indirect calorimetry to assess energy expenditure by measuring 
			carbon dioxide production and oxygen consumption. 
			 
			Compared with these measurements, half of the fitness trackers 
			underestimated energy expenditure and the rest overestimated it. 
			 
			For the second experiment, each participant wore the devices for 15 
			days and collected urine samples on eight days. Every fitness 
			tracker underestimated energy expenditure, the study found. 
			It’s possible some of the underestimation might be due to people 
			removing the devices to bathe or to charge batteries, the authors 
			note. 
			 
			In addition to the small size, other limitations of the study 
			include its reliance on participants who weren’t obese and who 
			didn’t have health problems that would limit their ability to 
			exercise, the authors also note. 
			 
			Still, the findings suggest that consumers may not have an easy time 
			finding a reliable fitness tracker to monitor exercise, Schoenfeld 
			said. 
			 
			“It is currently quite challenging to tell which fitness trackers 
			are accurate and reliable and which are not since there aren’t much 
			data available,” Schoenfeld added. “These studies demonstrate that 
			even the most popular applications and devices may be inaccurate or 
			highly variable.” 
			 
			SOURCE: http://bit.ly/1RatKFW JAMA Internal Medicine, online March 
			21, 2016. 
			  
			[© 2016 Thomson Reuters. All rights 
				reserved.] Copyright 2016 Reuters. All rights reserved. This material may not be published, 
			broadcast, rewritten or redistributed. 
			
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