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Items: 20

1.

The Choice of Pedometer Impacts on Daily Step Counts in Primary School Children under Free-Living Conditions.

Tanaka C, Hikihara Y, Inoue S, Tanaka S.

Int J Environ Res Public Health. 2019 Nov 9;16(22). pii: E4375. doi: 10.3390/ijerph16224375.

2.

Prediction of Physical Activity Intensity with Accelerometry in Young Children.

Tanaka C, Hikihara Y, Ando T, Oshima Y, Usui C, Ohgi Y, Kaneda K, Tanaka S.

Int J Environ Res Public Health. 2019 Mar 15;16(6). pii: E931. doi: 10.3390/ijerph16060931.

3.

The relationship between organ-tissue body composition and resting energy expenditure in prepubertal children.

Midorikawa T, Hikihara Y, Ohta M, Ando T, Torii S, Sakamoto S, Tanaka S.

Eur J Clin Nutr. 2019 Aug;73(8):1149-1154. doi: 10.1038/s41430-018-0344-2. Epub 2018 Oct 22.

4.

Lower youth steps/day values observed at both high and low population density areas: a cross-sectional study in metropolitan Tokyo.

Sato H, Inoue S, Fukushima N, Kikuchi H, Takamiya T, Tudor-Locke C, Hikihara Y, Tanaka S.

BMC Public Health. 2018 Sep 20;18(1):1132. doi: 10.1186/s12889-018-6028-y.

5.

Body mass-to-waist ratio strongly correlates with skeletal muscle volume in children.

Ohta M, Midorikawa T, Hikihara Y, Sakamoto S, Kawakami Y, Fukunaga T, Kanehisa H.

PLoS One. 2017 May 5;12(5):e0177155. doi: 10.1371/journal.pone.0177155. eCollection 2017.

6.

Validity of segmental bioelectrical impedance analysis for estimating fat-free mass in children including overweight individuals.

Ohta M, Midorikawa T, Hikihara Y, Masuo Y, Sakamoto S, Torii S, Kawakami Y, Fukunaga T, Kanehisa H.

Appl Physiol Nutr Metab. 2017 Feb;42(2):157-165. doi: 10.1139/apnm-2016-0137. Epub 2016 Oct 14.

PMID:
28112969
7.

Pedometer-determined physical activity among youth in the Tokyo Metropolitan area: a cross-sectional study.

Fukushima N, Inoue S, Hikihara Y, Kikuchi H, Sato H, Tudor-Locke C, Tanaka S.

BMC Public Health. 2016 Oct 21;16(1):1104.

8.

Prediction and validation of total and regional skeletal muscle volume using B-mode ultrasonography in Japanese prepubertal children.

Midorikawa T, Ohta M, Hikihara Y, Torii S, Sakamoto S.

Br J Nutr. 2015 Oct 28;114(8):1209-17. doi: 10.1017/S0007114515002585. Epub 2015 Sep 4.

PMID:
26337709
9.

Prediction models discriminating between nonlocomotive and locomotive activities in children using a triaxial accelerometer with a gravity-removal physical activity classification algorithm.

Hikihara Y, Tanaka C, Oshima Y, Ohkawara K, Ishikawa-Takata K, Tanaka S.

PLoS One. 2014 Apr 22;9(4):e94940. doi: 10.1371/journal.pone.0094940. eCollection 2014.

10.

The relationship of body composition to daily physical activity in free-living Japanese adult men.

Park J, Ishikawa-Takata K, Tanaka S, Hikihara Y, Ohkawara K, Watanabe S, Miyachi M, Morita A, Aiba N, Tabata I.

Br J Nutr. 2014 Jan 14;111(1):182-8. doi: 10.1017/S0007114513001918. Epub 2013 Jul 10.

PMID:
23841965
11.

Validation and comparison of 3 accelerometers for measuring physical activity intensity during nonlocomotive activities and locomotive movements.

Hikihara Y, Tanaka S, Ohkawara K, Ishikawa-Takata K, Tabata I.

J Phys Act Health. 2012 Sep;9(7):935-43.

PMID:
22971884
12.

Locomotive and non-locomotive activity as determined by triaxial accelerometry and physical fitness in Japanese preschool children.

Tanaka C, Hikihara Y, Ohkawara K, Tanaka S.

Pediatr Exerc Sci. 2012 Aug;24(3):420-34.

PMID:
22971558
13.

Validity of predictive equations for basal metabolic rate in Japanese adults.

Miyake R, Tanaka S, Ohkawara K, Ishikawa-Takata K, Hikihara Y, Taguri E, Kayashita J, Tabata I.

J Nutr Sci Vitaminol (Tokyo). 2011;57(3):224-32.

14.

Predicting total fat mass from skinfold thicknesses in Japanese prepubertal children: a cross-sectional and longitudinal validation.

Midorikawa T, Ohta M, Hikihara Y, Torii S, Bemben MG, Sakamoto S.

Asia Pac J Clin Nutr. 2011;20(3):426-31.

15.

Prediction and validation of total and regional fat mass by B-mode ultrasound in Japanese pre-pubertal children.

Midorikawa T, Ohta M, Hikihara Y, Torii S, Bemben MG, Sakamoto S.

Br J Nutr. 2011 Sep;106(6):944-50. doi: 10.1017/S0007114511001103. Epub 2011 May 9.

PMID:
21736848
16.

Relation of body composition to daily physical activity in free-living Japanese adult women.

Park J, Ishikawa-Takata K, Tanaka S, Hikihara Y, Ohkawara K, Watanabe S, Miyachi M, Morita A, Aiba N, Tabata I.

Br J Nutr. 2011 Oct;106(7):1117-27. doi: 10.1017/S0007114511001358. Epub 2011 May 17.

PMID:
21736836
17.

Estimation of the respiratory ventilation rate of preschool children in daily life using accelerometers.

Kawahara J, Tanaka S, Tanaka C, Hikihara Y, Aoki Y, Yonemoto J.

J Air Waste Manag Assoc. 2011 Jan;61(1):46-54.

PMID:
21305887
18.

Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm.

Ohkawara K, Oshima Y, Hikihara Y, Ishikawa-Takata K, Tabata I, Tanaka S.

Br J Nutr. 2011 Jun;105(11):1681-91. doi: 10.1017/S0007114510005441. Epub 2011 Jan 25.

PMID:
21262061
19.

Validity of physical activity indices for adjusting energy expenditure for body size: do the indices depend on body size?

Taguri E, Tanaka S, Ohkawara K, Ishikawa-Takata K, Hikihara Y, Miyake R, Yamamoto S, Tabata I.

J Physiol Anthropol. 2010;29(3):109-17.

20.

Classifying household and locomotive activities using a triaxial accelerometer.

Oshima Y, Kawaguchi K, Tanaka S, Ohkawara K, Hikihara Y, Ishikawa-Takata K, Tabata I.

Gait Posture. 2010 Mar;31(3):370-4. doi: 10.1016/j.gaitpost.2010.01.005. Epub 2010 Feb 6.

PMID:
20138524

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