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Mendeley readers
Attention Score in Context
| Title |
Total energy expenditure of 10- to 12-year-old Japanese children measured using the doubly labeled water method
|
|---|---|
| Published in |
Nutrition & Metabolism, November 2017
|
| DOI | 10.1186/s12986-017-0226-y |
| Pubmed ID | |
| Authors |
Keisuke Komura, Satoshi Nakae, Kazufumi Hirakawa, Naoyuki Ebine, Kazuhiro Suzuki, Haruo Ozawa, Yosuke Yamada, Misaka Kimura, Kojiro Ishii |
| Abstract |
To establish Japanese children's estimated energy requirements, total energy expenditure (TEE) data measured using the doubly labeled water (DLW) method is needed. This study aimed to 1) obtain basic TEE data from Japanese children measured using DLW (TEEDLW), 2) compare TEEDLW with TEE estimated by various estimation formulas to calculate their accuracy, and 3) develop a new equation to estimate TEE using body composition and pedometers. TEE was measured using DLW in 56 10- to 12-year-old Japanese children (33 boys, 23 girls). Physical activity level (PAL) was calculated by dividing TEEDLW by estimated resting energy expenditure. To assess their physical activity, participants wore pedometers during the 7-d DLW period. Total body water was calculated from (2)H and (18)O; fat-free mass (FFM) and fat mass (FM) were then determined. In boys and girls of normal weight, TEEDLW was 2067 ± 230 kcal/d and 1830 ± 262 kcal/d, respectively. Average PAL was 1.58 ± 0.17. FFM was strongly related to TEE (r = 0.702, p < 0.01). After adjusting for FFM and FM, step count was significantly associated with TEE (r = 0.707, p < 0.01). The TEE estimation formula used in the Dietary Reference Intakes (DRI) for the United States and Canada estimated TEEDLW with high accuracy (bias: 2.0%) in both sexes. We developed new equations for TEE consisting of FFM and step count, which accounted for 68% and 65% of TEE variance in boys and girls, respectively: boys, 47.1 × FFM (kg) + 0.0568 × step count (steps/d) - 122, and girls, 55.5 × FFM (kg) + 0.0315 × step count (steps/d) - 117. The TEE in 10- to 12-year-old Japanese children measured using DLW was approximately 7% lower for boys and 12% lower for girls compared to the current Japanese DRI. If PAL can be accurately determined, the equation in the DRI for the United States and Canada may be applicable to Japanese children. In addition, TEE could be predicted using FFM and step count. |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Master | 7 | 18% |
| Student > Bachelor | 5 | 13% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Doctoral Student | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 11 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 6 | 16% |
| Nursing and Health Professions | 5 | 13% |
| Medicine and Dentistry | 4 | 11% |
| Social Sciences | 3 | 8% |
| Engineering | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 15 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 November 2017.
All research outputs
#20,452,930
of 23,008,860 outputs
Outputs from Nutrition & Metabolism
#853
of 950 outputs
Outputs of similar age
#283,172
of 324,979 outputs
Outputs of similar age from Nutrition & Metabolism
#11
of 13 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 950 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.