A Comparison of Questionnaire, Accelerometer, and Pedometer

Harris, Tess; Owen, Christopher G.; Victor, Christina; Adams, Rika; Ekelund, Ulf; Cook, Derek G

doi:10.1249/mss.0b013e31819b3533

Cited by 177 publications

(169 citation statements)

References 36 publications

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“…Another limitation relates to the accelerometer cut points used in this study to assess the time spent in sedentary behaviours and moderate-to-vigorous physical activity; although widely used, these cut points are based on studies involving healthier older adults and we may therefore have overestimated sedentary time in the participants with higher frailty levels. Even so, accelerometers are reliable measures of sedentary behaviours, have been validated in older adults with and without impaired function [37][38][39][40][41][42] and can also be used for people with cognitive problems who cannot complete questionnaires about their daily levels of physical activity. 43,44 Finally, although the HRs per hour of sedentary behaviour were relatively high for most models, the lower limit of some confidence intervals was close to 1.00.…”

Section: Limitationsmentioning

confidence: 99%

Association between sedentary time and mortality across levels of frailty

Theou

Blodgett

Godin

et al. 2017

CMAJ

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Sedentary behaviours are increasingly recognized as conferring health risks, independent of physical activity. The health benefits of physical activity are well established, and meeting minimum guidelines for physical activity is associated with reduced risk of many chronic conditions, functional decline, development of psychologic disorders and mortality. [1][2][3][4][5][6][7][8][9] However, even among people who engage in periods of purposeful exercise, sedentary behaviours can increase the risk of adverse outcomes, such as metabolic risk factors, functional limitations, and all-cause and cardiovascular disease mortality. [10][11][12][13][14][15][16] Even so, a recent meta-analysis showed that engaging in moderate physical activity, such as exercise, for at least 1 hour/day could eliminate the detrimental effects of prolonged sitting. 17Although most of the research on sedentary behaviours has focused on children and younger adults, middle-aged and older adults are the most sedentary group. A study using data from the Canadian Health Measures Survey showed that Canadians over the age of 40 are highly sedentary, spending about 9.5-10 of their waking hours in sedentary behaviours (age 40-59 yr, 9.5 h for men and 9.8 h for women; age 60-79 yr, 9.9 h for men, 10 h for women). 18Only 14.6% of the Canadian population aged 40-59 years and 13.1% of those aged 60-79 years met the recommended 2.5 hours/ week of moderate-to-vigorous physical activity. 18 Another study using data from the US National Health and Nutrition Examination Survey (NHANES) showed that participants over the age of 50 years spent on average 8.5 of their waking hours in sedentary behaviours. 19 Only 7.1% of the population met the recommended 2.5 hours/week of moderate-to-vigorous physical activity. 19Reducing sedentary behaviours could improve health outcomes in middle-aged and older adults. Replacing 30 minutes of sedentary time with an equal amount of light activity or moderate-to-vigorous activity was associated with 14% and 50% reductions in risk of mortality, respectively. 20,21 Even so, studies have shown a strong relation between sedentary behaviours and frailty, independent of moderate-to-vigorous activity.

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Section: Limitationsmentioning

confidence: 99%

Association between sedentary time and mortality across levels of frailty

Theou

Blodgett

Godin

et al. 2017

CMAJ

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“…context, concurrent assessments that integrate multiple types of instruments may yield important insights into occupational physical activity [7,12,13]. For example, individual monitors, including multi-sensor armbands and simple pedometers, may be paired with self-report questionnaires to yield a potentially synergistic array of information about a worker's physical activity and sedentary behaviors in a specific context [12,14].…”

mentioning

confidence: 99%

Multi-instrument assessment of physical activity in female office workers

Can¹,

Gündüz²,

Arslan³

et al. 2016

Int J Occup Med Environ Health

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International Journal of Occupational Medicine and EnvironmentalThe 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 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

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“…For this population, the defined categories included sedentary activity (less than 200 ct•min -1 ), light activity (ranging from 200 to 1,999 ct•min -1 ), and moderate-to-vigorous physical activity (above 1,999 ct•min -1 ). These cut-off points were chosen because they have been used in other studies with similar samples 18,19 .…”

Section: Accelerometer Data Reduction and Outcome Measuresmentioning

confidence: 99%

Influence of weather variables on physical activity assessed by accelerometry across age and gender groups

Bento

Morgado

Leitão³

et al. 2015

Rev Bras Ativ Fís Saúde

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The purpose of this research was to study the effects of weather on physical activity and compliance to minimum physical activity recommendations. Participants included 257 women and 178 men. Time spent in physical activity, average daily steps, and weather variables were gathered and analysed to explore the influence of weather on PA and compliance with the PA recommendations. In result, environmental factors may have a weak influence in an individual will to engage in PA, and individuals highly committed to an active lifestyle (based on the number of steps taken per day) did not seem to be influenced by any of the weather variables. To conclude, considering the known barriers to an active lifestyle, this information is markedly important since engaging in physical activity on a day-to-day basis may be of extreme relevance to the maintenance of a healthy status, especially in the elderly. Keywords PAlAvrAs-chAveAcelerometria; Atividade física; Clima; Adultos.Weather and physical activity across age and gender 37

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A Comparison of Questionnaire, Accelerometer, and Pedometer

Cited by 177 publications

References 36 publications

Association between sedentary time and mortality across levels of frailty

Association between sedentary time and mortality across levels of frailty

Multi-instrument assessment of physical activity in female office workers

Influence of weather variables on physical activity assessed by accelerometry across age and gender groups

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