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Öğe Different physical activity guidelines and its association with socio-demographic and anthropometric characteristics among working women(Gdansk Univ Physical Education & Sport, 2017) Can, Sema; Arslan, Ersan; Biernat, Elzbieta; Piatkowska, MonikaBackground Physical activity, supporting health, wellbeing and working ability, is not only vitally important for healthy people, but also necessary for workers, especially women. This study aims to evaluate the relationship between meeting different physical activity guidelines and socio-demographic and anthropometric characteristics in middle-aged females from Turkey. Material/Methods Physical activity was assessed using the Sense Wear Armband. Logistic regression was used to determine the relationship between socio-demographic and anthropometric criteria and the odds of meeting different physical activity guidelines. Results All females achieved >= 150 min/week of moderate-to-vigorous physical activity. With regard to vigorous physical activity, only 5% of women achieved >= 75 min/week. Among all studied socio-demographic and anthropometric characteristics only the waist-to-hip rate and income differentiated odds for meeting the World Health Organization criterion. Conclusions Different percentages of subjects fulfill the pro-health criteria depending on the norm considered. We do need to identify the best criteria of PA to meet adequate health. It is crucial to take into account time, frequency and intensity of aerobic efforts but also in relation to energy expenditure related to resistance (anaerobic) and flexibility efforts while formulating physical activity guidelines.Öğe MULTI-INSTRUMENT ASSESSMENT OF PHYSICAL ACTIVITY IN FEMALE OFFICE WORKERS(Nofer Inst Occupational Medicine, Poland, 2016) Can, Sema; Gunduz, Nevin; Arslan, Ersan; Biernat, Elzbieta; Ersoz, Gulfem; Kilit, BulentObjectives: 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/m(2)) 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 self-reports. 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.Öğe Physical Activity Measurement By SWA in Employees: Weekdays And Weekend(Projack, 2017) Can, Sema; Karaca, Ayda; Arslan, Ersan; Biernat, ElzbietaIntroduction: The purpose of this study was to identify the levels of physical activity level during the weekdays and weekend both female and male employees. Method: A total of 58 volunteer employees participated in this study of which 20 were male (M-age 32.50 +/- 8.82) and 38 were female (M-age 34.24 +/- 6.25). Anthropometric measurements were performed after an overnight fast for each participant. After anthropometric measurements, daily physical activity levels were measured continuously with the Sense Wear Armband (BodyMedia, USA) monitor, worn on the dominant arm triceps muscle on free-living individuals for a during of seven days. Whether the number of steps, physical activity level (PAL) and inactivity time change depending on the days of the week and the gender was calculated in repetitive measurements with one-way analysis of variance. For globosity variance validity, Mauchly's test was used. For the variables which cannot be replaced for globosity variance, Greenhouse-Geisser test was used. Results: According to daily step numbers, women are slight active and men are active (9479 3468; 11338 +/- 3297 step/day respectively) (p>0.05). Daily mean PAL is on sedentary/light level both for women and men (1.55 +/- 0.19; 1.61 +/- 0.28 kcal.kg(-1).hr(-1) respectively) (p>0.05). According to days of the week, a statistical difference was found between the daily step numbers in men and women (p<0.05). While there was a statistically significant difference in PAL averages among women (p<0.05), there was no statistical difference in men (p>0.05). While PAL value was the highest in weekdays and lowest on Sunday for both genders, the day with the longest inactivity time was found to be Sunday. Women's daily mean inactivity time was founder to be longer than men (1264 +/- 69; 1205 +/- 107 min.day(-1) respectively) (p>0.05). Conclusion: Both men and women take more than 10000 steps only in weekdays. PAL of both women and men in weekdays and weekend is at sedentary/light activity level. The most active days for both genders are in weekdays, while Sunday is the least active day.
