Energy Expenditure of Preschool Children in a Subtropical Area1

Author(s):  
Zhi-chien Ho ◽  
He Mei Zi ◽  
Luan Bo ◽  
He Ping
2002 ◽  
Vol 23 (3_suppl1) ◽  
pp. 76-81 ◽  
Author(s):  
Manuel Hernández-Triana ◽  
Gabriela Salazar ◽  
Erik Díaz ◽  
Vivian Sánchez ◽  
Beatriz Basabe ◽  
...  

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0215169 ◽  
Author(s):  
Katherine L. Downing ◽  
Xanne Janssen ◽  
Dylan P. Cliff ◽  
Anthony D. Okely ◽  
John J. Reilly

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1223
Author(s):  
Yosuke Yamada ◽  
Hiroyuki Sagayama ◽  
Aya Itoi ◽  
Makoto Nishimura ◽  
Kaori Fujisawa ◽  
...  

Adequate energy intake is essential for the healthy development of children, and the estimated energy requirement of children is determined by total daily energy expenditure (TDEE) and energy deposition for growth. A previous study in Japanese tweens indicated that TDEE could be estimated by fat-free mass (FFM) and step count. The aims of this study were to measure TDEE in Japanese preschool children and to confirm whether TDEE can be estimated by FFM and step count in preschool children. Twenty-one children aged 4–6 years old (11 girls and 10 boys; age, 5.1 (0.9) years; height, 107.2 (6.6) cm; weight, 17.5 (1.7) kg; BMI, 15.3 (1.3); mean (SD)) participated in this study. FFM and 7-day TDEE were obtained by doubly labeled water (DLW). Participants wore accelerometers during the DLW measurement period. No significant differences were observed in age-adjusted height, weight, BMI, FFM (13.0 (1.5) kg), or TDEE (1300 (174) kcal/day) between girls and boys. Girls had significantly higher percent fat and a lower daily step count than boys. Stepwise regression analysis revealed that FFM and step count were significant predictors of TDEE; TDEE (kcal/day) = 85.0 × FFM (kg) + 0.0135 × step count (steps/day). This accounted for 74% of TDEE variance. The current study confirmed that FFM and step count are major determinants of TDEE in Japanese preschool children as well as adolescents, although further research is needed to obtain precise equations.


2017 ◽  
Vol 71 (10) ◽  
pp. 1212-1217 ◽  
Author(s):  
C Delisle Nyström ◽  
J Pomeroy ◽  
P Henriksson ◽  
E Forsum ◽  
F B Ortega ◽  
...  

2021 ◽  
Vol 13 (3) ◽  
pp. 371-384
Author(s):  
Mateja Videmšek ◽  
Tjaša Logaj ◽  
Gregor Starc ◽  
Vedrana Sember ◽  
Damir Karpljuk ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0233229 ◽  
Author(s):  
Matthew N. Ahmadi ◽  
Alok Chowdhury ◽  
Toby Pavey ◽  
Stewart G. Trost

1990 ◽  
Vol 2 (3) ◽  
pp. 249-254 ◽  
Author(s):  
Meke Mukeshi ◽  
Bernard Gutin ◽  
William Anderson ◽  
Patricia Zybert ◽  
Charles Basch

The validity of the Caltrac movement sensor for use with preschool children was assessed. Caltrac-derived values for energy expenditure were compared with those derived via laborious coding of direct observation that involved classification of the child’s videotaped activity every other 5 seconds for an hour in the day-care center or on the playground. Both Caltrac and direct observation values were expressed in kilocalories. The subjects were 20 children with a mean age of 35 months. The correlation coefficient for the total of indoor and outdoor activity was r= .62 (p<.01). The separate correlations for indoor and outdoor activity were r=.56 (p<.05) and r=.48 (p<.05), respectively. However, when the children’s weight, height, age, and sex were factored out of both the Caltrac and direct observation scores, the correlations fell to r= .25 (n.s.), r= .47 (p<.05), and r=.16 (n.s.) for the total, indoor, and outdoor activity, respectively. Thus the Caltrac seemed to record indoor activity (mainly walking) more accurately than it recorded the more varied playground movements, casting doubt on its value as a means of measuring physical activity in children 2-3 years of age.


1995 ◽  
Vol 44 (3) ◽  
pp. 339-346
Author(s):  
CHAO-WEN WANG ◽  
KANICHI MIMURA ◽  
KUMIKO HIRANO ◽  
SATOKO MIKAMI ◽  
MITSUHIRO YONETANI ◽  
...  

2020 ◽  
Vol 134 (5) ◽  
pp. 473-512 ◽  
Author(s):  
Ryan P. Ceddia ◽  
Sheila Collins

Abstract With the ever-increasing burden of obesity and Type 2 diabetes, it is generally acknowledged that there remains a need for developing new therapeutics. One potential mechanism to combat obesity is to raise energy expenditure via increasing the amount of uncoupled respiration from the mitochondria-rich brown and beige adipocytes. With the recent appreciation of thermogenic adipocytes in humans, much effort is being made to elucidate the signaling pathways that regulate the browning of adipose tissue. In this review, we focus on the ligand–receptor signaling pathways that influence the cyclic nucleotides, cAMP and cGMP, in adipocytes. We chose to focus on G-protein–coupled receptor (GPCR), guanylyl cyclase and phosphodiesterase regulation of adipocytes because they are the targets of a large proportion of all currently available therapeutics. Furthermore, there is a large overlap in their signaling pathways, as signaling events that raise cAMP or cGMP generally increase adipocyte lipolysis and cause changes that are commonly referred to as browning: increasing mitochondrial biogenesis, uncoupling protein 1 (UCP1) expression and respiration.


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