( 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
Brian Tyo, Rebecca Spataro-Kearns and David R. Bassett Jr.
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
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
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
Jocelyn Kernot, Lucy Lewis, Tim Olds and Carol Maher
computer-generated allocation sequence ( http://www.randomizer.org/form.htm ) 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
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
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
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.
Lorraine S. Wallace, Kenneth Bielak and Brian Linn
We evaluated readability and related features of English-language instructions accompanying pedometers, including reading grade level, layout/formatting characteristics, and emphasis of key points.
We identified 15 pedometers currently available for purchase in the US. Reading grade level was calculated using Flesch-Kinkaid (FK) and SMOG formulas. Text point size was measured with a C-Thru Ruler. Page and illustration dimensions were measured to the nearest millimeter (mm) with a standard ruler. Layout features were evaluated using the criteria from the User-Friendliness Tool.
FK scores ranged from 8th to 11th grade, while SMOG scores ranged from 8th to 12th grade. Text point size averaged 6.9 ± 1.9 (range = 4−11). Instructions averaged 8.7 ± 9.0 (range = 0−36) illustrations, most about the size of a US quarter. While many instructions avoided use of specialty fonts (n = 12; 80.0%), most used a minimal amount of white space. Just 4 (26.7%) sets of instructions highlighted the target goal of 10,000 steps-per-day.
Pedometer instructions should be revised to meet the recommended 6th grade reading level. Paper size instructions are printed on should be enlarged, thereby allowing for larger text and illustrations, and additional white space. Recommended number of steps per day and proper pedometer positioning should also be predominantly highlighted.
Albert R. Mendoza, Kate Lyden, John Sirard, John Staudenmayer, Catrine Tudor-Locke and Patty S. Freedson
, Chansin, & Zervos, 2017 ). Of the numerous wearable activity tracker manufacturers, Fitbit was the leading brand of activity tracker in 2015, accounting for 79 percent of sales ( NPD, 2016 ). The enormous market for wearable activity trackers and pedometers (ATPs) is driven in part by lower cost, longer