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Physical activity assessed by activity monitor and doubly labeled water in children
Örebro universitet, Institutionen för hälsovetenskap och medicin.
Unit for Preventive Nutrition, Department of Medical Nutrition, Karolinska Institutet, Stockholm, Sweden.
Unit for Preventive Nutrition, Department of Medical Nutrition, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0002-7165-279X
Unit for Preventive Nutrition, Department of Medical Nutrition, Karolinska Institutet, Stockholm, Sweden.
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2001 (English)In: Medicine & Science in Sports & Exercise, ISSN 0195-9131, E-ISSN 1530-0315, Vol. 33, no 2, 275-281 p.Article in journal (Refereed) Published
Abstract [en]

PURPOSE: To validate the Computer Science and Application's (CSA) activity monitor for assessment of the total amount of physical activity during two school-weeks in 9-yr-old children and to develop equations to predict total energy expenditure (TEE) and activity energy expenditure (AEE) from activity counts and anthropometric variables.

METHODS: A total of 26 children (15 boys and 11 girls, mean age 9.1 +/- 0.3 yr) were monitored for 14 consecutive days. TEE was simultaneously measured by the doubly labeled water method. Averaged activity counts (counts.min(-1)) were compared with data on: 1) TEE, 2) AEE = TEE minus basal metabolic rate (BMR; estimated from predictive equations), and 3) daily physical activity level (PAL = TEE/BMR).

RESULTS: Physical activity determined by activity counts was significantly related to the data on energy expenditures: TEE (r = 0.39; P < 0.05), AEE (r = 0.54; P < 0.01), and PAL (r = 0.58; P < 0.01). Multiple stepwise regression analysis showed that TEE was significantly influenced by gender, body composition (body weight or fat free mass), and activity counts (R(2) = 0.54--0.60). AEE was significantly influenced by activity counts and gender (R(2) = 0.45). There were no significant differences between activity counts and PAL in discriminating among activity levels with "low" (PAL < 1.56), "moderate" (1.57 < or = PAL > or = 1.81), and "high" (PAL > 1.81) intensity.

CONCLUSION: Activity counts from the CSA activity monitor seems to be a useful measure of the total amount of physical activity in 9-yr-old children. Activity counts contributed significantly to the explained variation in TEE and was the best predictor of AEE.

Place, publisher, year, edition, pages
2001. Vol. 33, no 2, 275-281 p.
Keyword [en]
Accelerometer; Daily activity; Energy expenditure
National Category
Sport and Fitness Sciences Physiology
Research subject
Physiology; Sports Science
Identifiers
URN: urn:nbn:se:uu:diva-304877ISI: 000166822300017PubMedID: 11224818Scopus ID: 2-s2.0-0035135991OAI: oai:DiVA.org:uu-304877DiVA: diva2:1034386
Available from: 2015-01-11 Created: 2016-10-11 Last updated: 2017-11-29

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Ekelund, UlfYngve, AgnetaNilsson, Andreas
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