european college of sport science

OP-HF05 Health and Fitness 5
pocket-in activity monitor. METHODS: Twenty Japanese adults equipped a shirt pocket-in activity monitor (AM-101, D30×W 80×H17, 19
grams; TANITA Co. Ltd) while in a whole body indirect calorimetry for 24 hours (6 PM to 6 PM the next day). The triaxial accelerometers
measure acceleration in three dimentional directions. It samples acceleration at 16 Hz and assesses values from – 2 to 2 G (1 G is equal
to the acceleration of free fall). The acceleration count was calculated as the average of the absolute values for acceleration for a given
interval (1 minute). The protocol time was composed of sleep (8 hours) and various structured activity periods. Acceleration data from
various activities and their relationship to energy expenditure obtained from the whole body indirect calorimetry allowed for the development
of EE equations for daily physical activities. The developed EE equation was cross-validated on 9 Japanese adults. RESULTS: The
acceleration data of various activities was strongly correlated with the actual EE measured by the whole body indirect calorimetry. The
predicted physical activity EE (PAEE) was highly correlated with the actual PAEE measured by the indirect calorimetry, although the predicted
PAEE was slightly higher than the measured PAEE. CONCLUSION: In conclusion, we found that the total acceleration obtained from
the shirt pocket-in activity monitor was strongly and linearly correlated with the EE measured by the indirect calorimetery. The attachment
of a triaxial accelerometer in a shirt-pocket is an ideal method to pick up the upper body movement in daily physical activity.
HEALTH-RELATED PHYSICAL FITNESS AMONG ADULTS AND ELDERLY POPULATION. PILOT DATA FROM THE KAN
PROJECT PHASE II.
LOHNE-SEILER, H., HANSEN, B.H.
UNIVERSITY OF AGDER, NORWEGIAN SCHOOL OF SPORT SCIENCES
Introduction: On instructions of the Public Health Department, the work with KAN (Kartlegging Aktivitet Norge) is part of the follow-up of the
national plan “Working together for physical activity”, and the goal is to make a system to monitor the level of physical activity (phase I)
and health-related physical fitness (phase II) among the adults and the elderly population in Norway. The project is financed by the Norwegian
Directorate of Health. The Norwegian School of Sport Sciences is in charge of the project in cooperation with 9 educational institutions
at university and college level. Phase 2 will measure health-related physical fitness in an objective way. Therefore, the purpose of
this pilot study was to accomplish a pilot study based on standardized test battery for registering health-related fitness in the age group
30-85 years.
Methods: A total of 31 men (n=16) and women (n=15), initially 56.3±14.2 years participated in the pilot study. The test battery is partly
based on the ALPHA group recommendation by Suni et al. (2008), measuring muscle strength and motor fitness. Tests measuring flexibility
were also chosen because of the connection between mobility and the ability to cope with activities of daily living according Rikli and
Jones (1999).
Results: The participants (n=31) used 114.6 sec (SD 68.3) in the Static back extension test. In the Handgrip test (n=31) the score was 44.7 kg
(SD 14.1). The results in the One leg standing test (n=31) was 33.0 sec (SD 20.6) and in the Modified push-up test the participants (n=24)
accomplished 15.0 push-ups (SD 5.7) in 40 sec. Seven participants carried through the test on their knees and managed to do 9.6 pushups
(SD 3.8) in 40 sec. The results from the Chair Sit-and-Reach and Back Stretch tests 6.7 cm (n=30, SD 14.2), left arm over 0.6 cm (n=30,
SD 13.3) and right arm over -4.1 (n=30, SD 10.4) respectively.
Discussion: Based on the high standard deviation shown on some of the tests and our subjective test experience, it is necessary to standardize
all the tests in a way it makes it possible to implement the KAN test battery to all the 10 involved educational institutions.
References
Rikli R.E. and Jones C.J. (1999) Development and validation of a Functional Fitness Test for Community-residing older adults. Journal of
Aging and Physical Activity. 7:129-161.
Suni J., Ruiz J.R., Castillo M.J., Husu P., Sjöström. (2008) Instruments for Assessing Levels of Physical Activity and Fitness (ALPHA project),
Work package 6: Assessing Health-Related Fitness. Vrije University, Amsterdam 12. april.
CONCURRENT VALIDITY OF SIMPLE BODY FAT COMPOSITION ASSESSMENT METHODS IN RECREATIONAL ATHLETES
TRAN, H., THIEL, C., VOGT, L., ROSENHAGEN, A., BANZER, W.
INSTITUTE OF SPORTS SCIENCES
Introduction: A variety of methods can be used to determine percent body fat (% BF) as a cardiovascular risk factor and to classify recreational
athletes of under-, normal- or overweight. However, various assessment methods may yield different results. Therefore the present
study compared the most commonly used inexpensive, operationally simple, non-invasive techniques: bioelectrical impedance analysis
(BIA), near infrared body composition analyzer (NIR) and hand-held caliper (Cal) measurements.
Methods: The sample of 120 young recreational athletes (80 male (M), 40 female (F), 23.9±2.8 yrs, 1.76±0.08 m, 73.63±10.16 kg and BMI
23.58±2.21 kg/m2) with a history of at least 3 years active participation in organized sport (>2 times activity/week) was measured by
experienced examiners. For assessment, 3-point skinfold thickness (Lange skinfold caliper, Beta Technology, Santa Cruz, USA), near
infrared body composition analyzer (Futrex, Futrex Software Services Europe, Bitburg, Germany) in a standardized sitting position and two
different bioelectrical impedance analysis, standing (BIA-st) (Omron BF-500, Omron Healthcare, Mannheim, Germany) and prone lying
(BIA-ly) (Nutriguard-S, Data-Input, Darmstadt, Germany) were performed in a randomized order. Percentage body fat calculations were
used for device comparison and classification into the body fat categories (% BF) normal (10-19.9% (M), 20-29.9% (F)), underweight (35% (F)).
Results: The subjects show different percentage BF (mean±SD) in accordance to the four measurement methods used: BIA-ly 18.5±6.2%,
BIA-st 20.3±7.0%, NIR 17.5±6.0% and Cal 12.0±6.6%. Due to BIA-ly/ BIA-st and NIR measurements the study population is classified into
the categories underweight (7-15%), normal (71-77%), overweight (7-20%) and obese (0-7%). In contrast caliper measures lead to a
somewhat different frequency distribution: underweight (70%), normal (27%), overweight (2%) and obese (1%).
Discussion: Many commonly used body fat assessment methods can be used at reasonable costs within minimal time (< 5 minutes) and
require only limited investigator experience. However, the current results illustrate varying body composition classification according to
the assessment method used in recreational athletes. The magnitude of difference seems to be linked to the underlying measuring
mechanism. Whereas BIA and NIR measures revealed almost comparable results, great differences were observed in relation to the
caliper method.
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ANNUAL CONGRESS OF THE EUROPEAN COLLEGE OF SPORT SCIENCE