Daily steps among Finnish adults: Variation by age, sex, and socioeconomic position

Hirvensalo, Mirja; Telama, R.; Schmidt, Michael D.; Tammelin, Tuija; Yang, Xiaolin; Magnussen, Costan G.; Vkari, Jorma S.A.; Raitakari, Olli T.

doi:10.1177/1403494811420324

Cited by 43 publications

(46 citation statements)

References 21 publications

(57 reference statements)

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“…Colbert et al [9] has reported significant correlations between the pedometer and armband step counts (r = 0.87). Similarly, in a previous study, a high correlation (r = 0.94, p < 0.001) was found between measurements made by an accelerometer and pedometer [26]. Some possible explanations for the differences between the findings of our study and those of previous studies include different numbers of participants, different occupational domains of the participants and differences in the measurement tools used (brands and features).…”

Section: Discussioncontrasting

confidence: 53%

“…These values are similar to the values obtained in the overall European population. Studies have shown that the average daily number of steps -7854 in Turkey, 9655 in Belgium, 10 617 in Sweden, and 9500 in Finland − vary from country to country because of differences in climate conditions, transportation, pavement, roads and cultural factors [7,26]. Similarly, Thompson et al [27] reported an average daily number of steps in women of 8354 and that the number of steps was lower among middle-aged women than among younger women.…”

Section: Discussionmentioning

confidence: 98%

“…Firstly, while pedometers and armbands instantly measure physical activity, they fail to provide objective information regarding popular sports (cycling, swimming and gym training). Thus, they have to be combined with a questionnaire in large population-based studies to provide a more reliable picture of total physical activity level [7,26]. Secondly, it is generally believed that the use of pedometers increases motivation for physical activity, at least initially, and this motivation increases actual physical activity performance.…”

Section: Discussionmentioning

confidence: 99%

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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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Section: Discussioncontrasting

confidence: 53%

Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-instrument assessment of physical activity in female office workers

Can¹,

Gündüz²,

Arslan³

et al. 2016

Int J Occup Med Environ Health

View full text Add to dashboard Cite

show abstract

“…Those individuals who completed the pedometer study were more often women (p < 0.001) and had a higher level of education (p = 0.002). The level of self-rated PA did not differ significantly from those who did not participate in the pedometer study (Hirvensalo et al, 2011). After removing those with missing or incomplete data, information on 1853 participants was included in this study.…”

Section: Participantsmentioning

confidence: 99%

“…were disabled and unable to work, and 8% remained home with their children or (Hirvensalo, Telama, Schmidt, Tammelin, Yang, Magnussen et al, 2011).…”

Section: Participantsmentioning

confidence: 99%

Convergent Validity of a Physical Activity Questionnaire against Objectively Measured Physical Activity in Adults: The Cardiovascular Risk in Young Finns Study

Hirvensalo¹,

Magnussen²,

Yang³

et al. 2017

APE

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Background: Traditionally, a self-reported questionnaire has been a cost-effective method of gathering information about physical activity (PA). An objective measurement, such as the use of a pedometer, can be used to validate the findings of a PA questionnaire in a large population. Objective: The study objective was to determine the convergent validity of a PA questionnaire against objectively measured PA in adults obtained with the use of a pedometer. Methods: Data from the Cardiovascular Risk in Young Finns Study (YFS) were collected from 1853 participants aged 30 -45 years. The participants completed a self-reported questionnaire that included items on leisure time, commuting and habitual PA. PA was expressed as leisure-time physical activity index (PAI) and metabolic equivalent hours/week (METh/wk). The participants wore a pedometer for seven consecutive days and used it to record their total daily and aerobic steps. Results: There was a low to moderate association between the self-reported questionnaire and pedometer measurements regarding both total steps and aerobic steps taken during leisure time and commuting PA. An association was not observed between peHow to cite this paper: Hirvensalo, M., Magnussen, C. G., Yang, X. L., Telama, R., Heinonen, I., Hutri-Kähönen, N., Salin, K., Viikari, J., Raitakari, O. T., & Tammelin

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Effect of Different Financial Incentive Structures on Promoting Physical Activity Among Adults

et al. 2019

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Key Points Question Is it more effective to disburse fixed total financial incentives at a constant, increasing, or decreasing rate to encourage physical activity? Findings In this randomized clinical trial, financial incentives for physical activity were significantly more effective at motivating activity during and immediately after a payment period if they were offered at a constant rate rather than an increasing or decreasing rate. Meaning This finding has implications for the design and delivery of incentive programs to promote healthy behaviors.

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Daily steps among Finnish adults: Variation by age, sex, and socioeconomic position

Cited by 43 publications

References 21 publications

Multi-instrument assessment of physical activity in female office workers

Multi-instrument assessment of physical activity in female office workers

Convergent Validity of a Physical Activity Questionnaire against Objectively Measured Physical Activity in Adults: The Cardiovascular Risk in Young Finns Study

Effect of Different Financial Incentive Structures on Promoting Physical Activity Among Adults

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