european college of sport science

Saturday, June 27th, 2009
Through snowball sampling, the researchers identified suitable participants for study. Participants for this study were from a variety of
backgrounds and were able to enrich the contexts for analysis. The researchers used semi-structured interviews, together with documentary
sources (diaries) for conducting data collection. Eleven PSPETs were participated. Data collection was conducted over a 11-month
period and ceased upon data saturation, which was when nothing new could be added to the data. The transcribed interviews were
analyzed using open coding, axial coding and selective coding procedures. Member checks, audit trails and triangulation were used to
ensure trustworthiness.
The concepts of (1) multi-dimensional knowledge, (2) acclimatization to the organization, (3) reconcilable scope of work, (4) multi-level job
specification, and (5) irregular work hours and workloads are clustered into the Switching (Work Lives) category, which describes the
PSPETs’ work and their feelings toward their daily lives.
Switching (work lives) refers to how PSPETs must equip themselves with infra-structural abilities in order to tackle their everyday challenges
and routines. PSPETs have to adjust to a broad scope of work that has multiple levels of job specifications and that demands
possession of multi-dimensional knowledge. Irregular work hours and workloads also have a great influence on their working lives. To
acclimatize to the ever-changing organizational environment, from time to time, PSPETs must “switch” their scope of work effectively and
efficiently.
ATTITUDE TO PHYSICAL EDUCATION AND PARTICIPATION IN ORGANIZED YOUTH SPORTS DURING ADOLESCENCE
RELATED TO PHYSICAL ACTIVITY IN YOUNG ADULTHOOD: A 10-YEAR LONGITUDINAL STUDY
KJONNIKSEN, L.
TELEMARK UNIVERSITY COLLEGE
Abstract
We examined the relationship between participation in organized youth sport and attitude to physical education (PE) during adolescence
and physical activity in young adulthood. The sample comprised 630 subjects who completed questionnaires from age 13 and over a 10years
period. Analysis of variance and regression were used to examine the relationship between attitude to PE and participation in
organized sport at age 13 years and physical activity at age 23 years. Both genders had a consistent and positive attitude toward PE at
age 13–16 years. More boys participated in organized youth sport, and participation rates declined from age 13 to 16 years. Participation
in organized sport was the strongest predictor of physical activity at age 23 years in males, whereas attitude to PE was the strongest
predictor in females. Participation in sport and physical activity in different arenas during adolescence may affect participation differently
in young adult men and women.
10:15 - 11:45
Oral presentations
OP-SM04 Sports Medicine 4
“NORMAL” BODY MASS INDEX DOES NOT NECESSARILY INDICATE A HEALTHY BODY COMPOSITION IN ELITE FEMALE
ATHLETES AND NONATHLETES
TORSTVEIT, M.K., SUNDGOT-BORGEN, J.
1. UNIVERSITY OF AGDER, KRISTIANSAND, 2. NORWEGIAN COLLEGE OF SPORT SCIENCES, OSLO
Introduction: Body composition and body weight may impact health and performance. While the most used classification of body composition
in non athletes is the Body Mass Index (BMI), no studies have assessed the relationship between BMI and body fat percent (BF%)
in elite female athletes and compared with normal-active controls. Therefore, the aims of this study were to assess the relationship between
BMI and BF% in elite female athletes representing several sports, and to compare with non-athlete controls.
Methods: This two-phase study included: 1) a questionnaire regarding training patterns, menstrual-, dietary-, and weight history, nutritional
factors, oral contraceptive use, pregnancy, stress fractures, and disordered eating behaviours, and 2) measurement of body composition
with dual-energy X-ray absorptiometry using a full body scan on a LUNAR-Prodigy. In part I, all female athletes representing the
national teams of Norway at the junior or senior level, aged 13-39 years (n=938) and a same-age random sample control group (n=900)
were invited.. The questionnaire was completed by 88% of the athletes and 70% of the controls. Based on these initial data, a random
sample of athletes (n=300) and controls (n=300) were selected and invited to participate in part II. A total of 186 athletes (62%) and 145
controls (48%) participated in part II. Overfatness was defined as a BF% ≥33% (Ode et al. 2007).
Results: The athletes had a significantly lower BMI (21.7 ± 2.4 kg/m2) and BF% (24.2 ± 7.2%) compared with the controls (24.0 ±4.2 kg/m2
and 35.5 ±7.1%) (p