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EN
The deterioration of public health necessitates the maintenance of the control of health of the general public, study and development of the necessary preventive and curative measures. Physical activity is a promising indicator for evaluating lifestyle and health. The objective is to analyze the basic seasonal patterns of physical activity in monitoring with an electronic pedometer. The materials: the study used the results of the motor activity of the winter (February) and summer (July) months of 2012 - 2015. The results are verified high and stable value of motor activity in the 1.5-1.8 times higher than the recommended norm. The proportion of motor activity carried out in aerobic mode is 45-60% of total locomotor activity, motor activity time in the aerobic mode is 2-3 times higher than that recommended. It confirmed the presence of a pronounced tendency to growth rates of motor activity during the observation period. The value of the energy cost of locomotor activity during the observation period varies between 600-800 kcal. The results are that the deterioration of public health necessitates the maintenance of the control of health of the general public, study and development of the necessary preventive and curative measures. Results passable distances are in the order of 9-13 km, with a gradual increase in the monitoring process. The mean values of disposition of fat are stable enough, make up 39-48 g, and tend to increase in the course of the observation. The analysis of physical activity on the seasons within the same calendar year did not show significant differences. The conclusions are to set a high enough level and stability of physical activity that are independent of the calendar season, enabling it to assess how an inactivity prevention factor. The gradual growth of all studied indicators shows a focus on a healthy lifestyle. The share of motor activity in the aerobic mode, the time spent on aerobic locomotors activity exceeded the indicative value of the energy costs can be interpreted as an evidence of compliance with the principle of energy balance. Using the electronic pedometer is an easy, simple way health monitoring at different levels.
EN
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
PL
Cel badań. Celem pracy było określenie poziomu aktywności fizycznej 15-letnich chłop­ców w zależności od tygodniowej liczby godzin wychowania fizycznego. Materiał i metody. Badania przeprowadzono wśród 61 chłopców w wieku 16,25 ± 0,43 roku. Trwały one 7 dni. Uczniowie uczęszczali do klasy I szkół ponadgimnazjalnych w Nowym Sączu i Chorzowie. Wyniki. Porównując aktywność fizyczną dwóch badanych grup, w których liczba odbytych lekcji WF w tygodniu wynosiła 0–1 oraz 2 lub więcej, nie odnotowano różnicy istotnej statystycznie w ujęciu tygodniowym (F = 0,09; p < 0,77). W większości dni tygodnia grupa uczęszczająca na przynajmniej 2 lekcje WF wykonywała średnio o 2000 kroków więcej od grupy biorącej udział w najwyżej 1 lekcji WF. W czwartek i w niedzielę grupa mniej aktywna wykonała większą liczbę kroków. Wnioski. Stwierdzono istotną statystycznie różnicę aktyw­ności fizycznej pomiędzy chłopcami z Chorzowa i z Nowego Sącza. Tygodniowa liczba godzin WF wpływa na poziom aktywności fizycznej wyrażony liczbą kroków.
EN
Background. The purpose of the paper was to determine the level of physical activity in 15-year-old boys depending on their weekly number of physical education lessons. Material and methods. The research was conducted in a group of 61 boys aged 16,25 ± 0,43 years. It lasted 7 days. The students attended class 1 of upper secondary schools in Nowy Sącz and Chorzów in Poland. Results. Comparing the physical activity of the two examined groups, who attended 0–1 or 2 PE lessons during a week, the authors did not record any statis­tically significant difference in a weekly perspective (F = 0.09; p < 0.77). On the majority of weekdays, the group with 2 PE lessons performed, on average, 2000 steps more than the group attending 0–1 PE lessons. On Thursdays and Sundays the less active group per­formed a bigger number of steps. Conclusions. There was a statistically significant difference in physical activity between the boys from Chorzów and those from Nowy Sacz. The weekly number of PE lessons influences the physical activity level expressed as a number of steps.
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