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Brian Tyo, Rebecca Spataro-Kearns, and David R. Bassett Jr.

( Banks-Wallace & Conn, 2002 ; Whitt-Glover, Brand, Turner, Ward, & Jackson, 2009 ) to help reduce chronic diseases commonly related to excessive adiposity such as type 2 diabetes, hypertension, and other illnesses/conditions. Pedometer-based interventions to increase walking may be especially beneficial

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Tina Smith, Sue Reeves, Lewis G. Halsey, Jörg Huber, and Jin Luo

used to quantitatively assess these factors in physical activity, including questionnaires, pedometers, and accelerometers. Among these methods, self-report questionnaires and pedometers are convenient ones to use. Both methods have been employed in studies reporting positive associations between

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Myles W. O’Brien, William R. Wojcik, and Jonathon R. Fowles

-related physical activity ( Kolt et al., 2012 ). Specifically, older patients who received pedometer-based prescriptions increased their moderate-intensity physical activity from 56 to 114 min/week at 1 year. Research has identified that older adults perceive monitor accuracy as the most important aspect of using

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Alessandra Madia Mantovani, Manoel Carlos Spiguel de Lima, Luis Alberto Gobbo, Enio Ricardo Vaz Ronque, Marcelo Romanzini, Bruna Camilo Turi-Lynch, Jamile Sanches Codogno, and Rômulo Araújo Fernandes

. Initially, 320 adults started the study, but 95 were excluded due to incomplete data (wearing pedometer for less than 7 d) and death (n = 1). The final sample consisted of 225 subjects with valid information (108 men and 117 women). In this sample, there are no missing data. Dependent Variables Dual

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Andrea L. Hergenroeder, Bethany Barone Gibbs, Mary P. Kotlarczyk, Subashan Perera, Robert J. Kowalsky, and Jennifer S. Brach

the Fitbit Charge (Fitbit Inc., San Francisco, CA); Garmin Vivofit (Garmin Ltd., Schaffhausen, Switzerland); Fitbit Zip (Fitbit Inc., San Francisco, CA); Yamax SW-200 Digiwalker Pedometer (Yamasa Tokei Keiki Co., Ltd., Tokyo, Japan); Accusplit AX2710 Accelerometer Pedometer (Accusplit, Inc., Livermore

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Jocelyn Kernot, Lucy Lewis, Tim Olds, and Carol Maher

computer-generated allocation sequence ( ) with allocation concealment to one of 3 conditions: (1) MSIU (intervention), (2) pedometer (alternative intervention), or (3) written advice (control). Block randomization was undertaken (blocks of 6, allocation ratio 1∶1∶1) to

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Anders Raustorp and Andreas Fröberg

accelerometers and pedometers have gained popularity among PA researchers as they are convenient, unobtrusive, and relatively unbiased. 9 Some studies employing ActiGraph™ accelerometers have reported a low to moderate tracking of PA between age 5 and 15. 10 , 11 The lack of standardization in processing

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Mark A. Tully and Margaret E. Cupples


Recent public health initiatives have promoted accumulating 10,000 steps per day. Little previous research has evaluated its effects in young adults. The aim of this study was to determine the effects of taking 10,000 steps per day on fitness and cardiovascular risk factors in sedentary university students.


Healthy, sedentary students (mean age 21.16 ± SD 6.17) were randomly allocated to take 10,000 steps per day or to a control group who maintained their habitual activity. Members of the 10,000 step group wore a pedometer and reported daily step count in a diary. Outcome measurements (20-meter multistage shuttle run, BMI, and blood pressure) were measured before and after 6 weeks.


There were no significant differences between the groups at baseline. After 6 weeks, the 10,000 steps group were taking significantly more steps (8824.1 ± SD 5379.3 vs. 12635.9 ± SD 6851.3; P = .03).No changes were observed in fitness, or BMI (P > .05). Significant reductions in blood pressure (P = .04) in the 10,000 step group.


A daily target of 10,000 steps may be an appropriate intervention in sedentary university students to increase their physical activity levels. The positive health benefits of simple everyday physical activity should be promoted among health professionals.

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Charlotte L. Edwardson, Melanie Davies, Kamlesh Khunti, Thomas Yates, and Alex V. Rowlands

and competition. These features, along with the relatively low cost of the activity trackers and the design, make them particularly appealing to researchers as alternative tools to the waist worn pedometer commonly used in physical activity behavior change research (e.g., Kang, Marshall, Barreira

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Michael W. Beets, John T. Foley, Daniel W.S. Tindall, and Lauren J. Lieberman

Thirty-five youth with visual impairments (13.5 ± 2.1yrs, 13 girls and 22 boys) walked four 100-meter distances while wearing two units (right and left placement) of three brands of voice-announcement (VA) pedometers (CentriosTM Talking Pedometer, TALKiNG Pedometer, and Sportline Talking Calorie Pedometer 343) and a reference pedometer (NL2000). Registered pedometer steps for each trial were recorded, compared to actual steps assessed via digital video. Inter-unit agreement between right and left VA pedometer placement was low (ICC range .37 to .76). A systematic error was observed for the VA pedometers on the left placement (error range 5.6% to 12.2%), while right placement VA pedometers were at or below ± 3% from actual steps (range 2.1% to 3.3%). The reference pedometer was unaffected by placement (ICC .98, error ~1.4%). Overall, VA pedometers demonstrated acceptable accuracy for the right placement, suggesting this position is necessary for youth with visual impairments.