Wyniki wyszukiwania - Biblioteka Nauki

Ten serwis zostanie wyłączony 2025-02-11.

Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl

Ograniczanie wyników

2 International Journal of Occupational Medicine and Environmental Health

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Comparative analysis of the 1-mile run test evaluation formulae: Assessment of aerobic capacity in male law enforcement officers aged 20–23 years

100%

Kayihan G. , Özkan A. , Köklü Y. , Eyuboğlu E. , Akça F. , Koz M. , Ersöz G.

nr 2

165-174

Objectives: The purpose of this study was to compare values of aerobic performance in the 1-mile run test (1-MRT) using different formulae. Material and Methods: Aerobic capacities of 351 male volunteers working for the Turkish National Police within the age range of 20-23 years were evaluated by the 1-MRT and the 20-metre shuttle run (20-MST). $\text{VO}_\text{2max}$ values were estimated by the prediction equations developed by George et al. (1993), Cureton et al. (1995) and Kline et al. (1987) for the 1-MRT and by Leger and Lambert (1982) for the 20-MST. Results: The difference between the results of the different formulae was significant (p = 0.000). The correlation coefficient between the estimated $\text{VO}_\text{2max}$ using Cureton's equation, George's equation, Kline's equation and the 20-MST were 0.691 (p < 0.001), 0.486 (p < 0.001) and 0.608 (p < 0.001), respectively. The highest correlation coefficient was between the $\text{VO}_\text{2max}$ estimated by the 20-MST and Cureton's equation. Similarly, the highest correlation coefficient (r = -0.779) was between the 1-mile run time and the $\text{VO}_\text{2max}$ estimated by Cureton's equation. Conclusions: When analysing more vigorous exercise than sub-maximal exercise, we suggest that Cureton's equation be used to predict the $\text{VO}_\text{2max}$ from 1-mile run/walk performance in large numbers of healthy individuals with high $\text{VO}_\text{2max}$. This research compares the use of 3 different formulae to estimate $\text{VO}_\text{2max}$ from 1-mile run/walk performance in male law enforcement officers aged 20-23 years for the first time and reports the most accurate formula to use when evaluating aerobic capacities of large numbers of healthy individuals.

Multi-instrument assessment of physical activity in female office workers

100%

Can S. , Gündüz N. , Arslan E. , Biernat E. , Ersöz G. , Kilit B.

International Journal of Occupational Medicine and Environmental Health

2016

tom 29

nr 6

937-945

Objectives The aim of this study was to examine the multi-instrument assessment of physical activity in female office workers. Material and Methods Fifty healthy women (age (mean ± standard deviation): 34.8±5.9 years, body height: 158±0.4 cm, body weight: 61.8±7.5 kg, body mass index: 24.6±2.7 kg/m²) workers from the same workplace volunteered to participate in the study. Physical activity was measured with the 7-day Physical Activity Assessment Questionnaire (7-d PAAQ), an objective multi-sensor armband tool, and also a waist-mounted pedometer, which were both worn for 7 days. Results A significant correlation between step numbers measured by armband and pedometer was observed (r = 0.735), but the step numbers measured by these 2 methods were significantly different (10 941±2236 steps/ day and 9170±2377 steps/day, respectively; p < 0.001). There was a weak correlation between the value of 7-d PAAQ total energy expenditure and the value of armband total energy expenditure (r = 0.394, p = 0.005). However, total energy expenditure values measured by armband and 7-d PAAQ were not significantly different (2081±370 kcal/ day and 2084±197 kcal/day, respectively; p = 0.96). In addition, physical activity levels (average daily metabolic equivalents (MET)) measured by armband and 7-d PAAQ were not significantly different (1.45±0.12 MET/day and 1.47±0.24 MET/day, respectively; p = 0.44). Conclusions The results of this study showed that the correlation between pedometer and armband measurements was higher than that between armband measurements and 7-d PAAQ selfreports. Our results suggest that none of the assessment methods examined here, 7-d PAAQ, pedometer, or armband, is sufficient when used as a single tool for physical activity level determination. Therefore, multi-instrument assessment methods are preferable. Int J Occup Med Environ Health 2016;29(6):937–945