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Energy expenditure in children predicted from heart rate and activity calibrated against respiration calorimetry
United States Department of Agriculture/Agricultural Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas 77030 The purpose of this study was to predict energy expenditure (EE) from heart rate (HR) and activity calibrated ag...
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Published in: | American journal of physiology: endocrinology and metabolism 1998-07, Vol.275 (1), p.E12-E18 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | United States Department of Agriculture/Agricultural Research
Service Children's Nutrition Research Center, Department of
Pediatrics, Baylor College of Medicine, Houston, Texas 77030
The purpose of this study was to predict energy expenditure (EE)
from heart rate (HR) and activity calibrated against 24-h respiration
calorimetry in 20 children. HR, oxygen consumption ( O 2 ), carbon dioxide
production ( CO 2 ), and EE
were measured during rest, sleep, exercise, and over 24 h by room
respiration calorimetry on two separate occasions. Activity was
monitored by a leg vibration sensor. The calibration day
( day 1 ) consisted of specified
behaviors categorized as inactive (lying, sitting, standing) or active
(two bicycle sessions). On the validation day ( day
2 ), the child selected activities. Separate
regression equations for
O 2 ,
CO 2 , and EE for
method 1 (combining awake and asleep
using HR, HR 2 , and
HR 3 ), method
2 (separating awake and asleep), and
method 3 (separating awake into active
and inactive, and combining activity and HR) were developed using the
calibration data. For day 1 , the
errors were similar for 24-h
O 2 ,
CO 2 , and EE among
methods and also among HR, HR 2 ,
and HR 3 . The methods were
validated using measured data from day
2 . There were no significant differences in HR,
O 2 ,
CO 2 , respiratory quotient,
and EE values during rest, sleep, or over the 24 h between days 1 and
2 . Applying the linear HR equations to
day 2 data, the errors were the lowest
with the combined HR/activity method ( 2.6 ± 5.2%,
4.1 ± 5.9%, 2.9 ± 5.1% for
O 2 ,
CO 2 , and EE, respectively).
To demonstrate the utility of the HR/activity method, HR and activity
were monitored for 24 h at home ( day
3 ). Free-living EE was predicted as 7,410 ± 1,326 kJ/day. In conclusion, the combination of HR and activity is an
acceptable method for determining EE not only for groups of children,
but for individuals.
energy metabolism; oxygen consumption; heart rate
monitoring |
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ISSN: | 0193-1849 1522-1555 |
DOI: | 10.1152/ajpendo.1998.275.1.e12 |