title: Multi-instrument assessment of physical activity in female office workers.
abstract: OBJECTIVE
  The aim of this study was to examine the multi-instrument assessment of physical activity in female office workers.
  
  
  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.
authors.affiliation: Hitit University, Çorum, Turkey (Physical Education and Sports School). semacan@hitit.edu.tr.
authors.forename: Sema
authors.initials: S
authors.lastname: Can
authors.affiliation: Ankara University, Ankara, Turkey (Faculty of Sports Science). Nevin.Gunduz@ankara.edu.tr.
authors.forename: Nevin
authors.initials: N
authors.lastname: Gündüz
authors.affiliation: Siirt University, Siirt, Turkey (Physical Education and Sports School). ersanarslan1980@hotmail.com.
authors.forename: Erşan
authors.initials: E
authors.lastname: Arslan
authors.affiliation: Warsaw School of Economics, Warszawa, Poland (Collegium of World Economy, Department of Tourism). elzbieta.biernat@sgh.waw.pl.
authors.forename: Elżbieta
authors.initials: E
authors.lastname: Biernat
authors.affiliation: Ankara University, Ankara, Turkey (Faculty of Sports Science). Gulfem.Ersoz@ankara.edu.tr.
authors.forename: Gülfem
authors.initials: G
authors.lastname: Ersöz
authors.affiliation: Hitit University, Çorum, Turkey (Physical Education and Sports School). bulentkilit@hotmail.com.
authors.forename: Bülent
authors.initials: B
authors.lastname: Kilit
mesh_terms: D056044:Actigraphy / Q000295:instrumentation*; D000328:Adult; D004651:Employment; D015444:Exercise; D005260:Female; D006801:Humans; D008875:Middle Aged; D011795:Surveys and Questionnaires; D016138:Walking
keywords: female office workers; pedometer; physical activity; questionnaire; sedentary lifestyle; sensewear armband