european college of sport science

Wednesday, June 24th, 2009
an individual’s perceived physical and mental health over time. However, the effects of obesity in HRQoL in the Greek population have not
been previously examined. The aim of the present study was to investigate the impact of obesity on HRQoL in a Greek adult population.
Methods: Participants were 327 healthy men and women between the ages of 30 and 50 years. Body weight was measured to the
nearest 100 gr with calibrated scales, height in bare feet to the nearest cm. Body Mass Index (BMI) was calculated as weight (kg) divided
by height (m) squared. Participants were categorized to three BMI groups (normal weight, overweight, obese). The Greek version of SF-36
was used for the evaluation of the HRQoL, which includes 8 subscales each measuring a separate health factor (3). Two indices of physical
activity (PA) were assessed (leisure time and sport) using the Baecke PA questionnaire (4). A series of MANCOVAs were conducted to
examine the differences in HRQoL between the three BMI groups, whereas age, sex and the two PA indices were the covariates.
Results: Significant differences were found with the sex (Wilks’ lambda=0.814, F(2, 324)= 3.378, p=0.000), the sport index (Wilks’
lambda=0.551, F(2, 324)= 10.817, p=0.000) and the leisure time index (Wilks’ lambda=0.839, F(2, 324)= 2.857, p=0.000) as covariates.
Participants with normal weight had higher values in physical functioning subscale (F(2, 324)= 115.986, p=0.000) and in physical health
factor (F(2, 324)= 25.342, p=0.000) than overweight and obese, whereas overweight had higher values in the same subscales than
obese. However, participants with normal weight had lower values in psychological health factor (F(2, 324)= 6.552, p=0.002) than obese.
Conclusions: The results confirm the negative impact of obesity on the physical functioning and health in the Greek adult population.
References
1. Jia H, & Lubetkin EI. The impact of obesity on health-related quality of life in the general adult US population. J Publ Health, 2005; 27:
156-164.
2. Surtees PG, Wainwright NWJ, & Khaw K.T. Obesity, confidant support and functional health: Cross-sectional evidence from the EPIC-
Norfolk cohort. Intern J Obes, 2004; 28: 748-758.
3. Keller, S.D., Ware, J.E., Bentler, P.M., Aaronson, N.K., Alonso, J., Apolone, G., et al. Use of structural equation modeling to test the construct
validity of the SF-36 Health Survey in ten countries: Results from the IQOLA Project. J Clin Epidemiol 1998; 51:1179-1188.
4. Baecke JAH, Burema J, & Frijters, JR. A short questionnaire for the
measurement of habitual physical activity in epidemiological studies. Am J Clin Nutr 1982; 36:936-42.
13:00 - 14:00
Poster presentations
PP-HF06 Health and Fitness 6
PHYSICAL ACTIVITY LEVELS OF TOTAL JOINT ARTHROPLASTY PATIENTS: A DESCRIPTIVE META-ANALYSIS
IMPELLIZZERI, F.M., NAAL, F.D.
SCHULTHESS KLINIK
INTRODUCTION. Physical inactivity is a modifiable lifestyle-related risk factor considered one of the leading causes for the major noncommunicable
chronic diseases. The proportion of individuals meeting the health-enhancing physical activity (PA) recommended levels
decreases with increasing age. This appears even more evident in patients with osteoarthritis of the hip or knee. Total joint arthroplasty
(TJA) is a well established successful surgical procedure for patients suffering from severe osteoarthritis and joint degeneration. Therefore,
a successful treatment such as TJA should not only improve pain and function, but also allow patients to be physically active. The determination
of the current state of PA research in TJA patients regarding quality and quantity represents the cornerstone for future investigations.
The aim of this study was to systematically review the literature on PA levels in TJA patients.
METHODS. Relevant publications were identified using computer-aided search (MEDLINE, Cochrane Library, and EMBASE). Of 1688 identified
citations, 1631 articles were excluded after screening titles and abstracts. The fulltexts of the remaining 57 articles were retrieved and
analyzed. Twenty-seven articles met the inclusion criteria. Where possible, data were summarized using meta-analytic methods (random-effect
models for taking into account any heterogeneity).
RESULTS. PA has been quantified using self-reported questionnaires, pedometers and accelerometers. Meta-analysis was only possible
for the studies were PA was measured using pedometers (n=15) and accelerometers (n=6). The wMean measured using accelerometers
was 11250 (95%CI: 10290 to 12210) steps/day, and was higher than steps measured using pedometers [5022 (4305 to 5740) steps/day].
Subgroup analysis on pedometer data only showed higher PA in patients assessed 5 yrs [6032 (5369 to 6695) steps/day]. Meta-regression (steps vs age) showed that 1 year of aging would correspond to
a PA decrease of 90 steps/day (-156 to -22; P=0.008).
DISCUSSION. The results of this study showed that PA levels in TJA patients as assessed by pedometers are well below the currently
recommended level of 10000 steps/day. Furthermore, PA levels decreased with increasing age. Patients >65 years old performed less
steps than similar aged healthy people [4613 (3457-5770) vs 6565 (4897-8233) steps/day, respectively] as reported in a recent metaanalysis
(Bohannon, 2007). Similar findings were found examining qualitatively PA obtained from self reports. A difference superior to that
reported in the literature was found between PA assessed using accelerometers vs pedometers. In conclusion, this study showed that PA
levels of TJA patients are lower than those of healthy people and below recommended levels. These observations highlight the urgent
need for strategies to increase PA levels in this population.
Bohannon RW. Phys Ther. 87:1642-50, 2007
MOTIVATION FOR LIFE STYLE CHANGES TO IMPROVE HEALTH IN PEOPLE WITH IMPAIRED GLUCOSE TOLERANCE
HANSEN, E., LANDSTAD, B.J., HELLZÉN, O., GUNDERSEN, K.T., SVEBAK, S.
NORD-TRØNDELAG UNIVERSITY COLLEGE
Introduction: The association of an inactive lifestyle with obesity and Type 2 diabetes is well known (Ackermann et al., 2008; Schneider &
Elouzi, 2000). Correspondingly, research over the last decades has provided strong support for the positive effect of physical activity in the
treatment and obviation of Type 2 diabetes (Califf et al., 2008; Krook et al., 2003). The aim of the study was to elucidate attitudes and
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