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1

Pitchford, E. Andrew, and Joonkoo Yun. "The Accuracy of Pedometers for Adults With Down Syndrome." Adapted Physical Activity Quarterly 27, no. 4 (October 2010): 321–36. http://dx.doi.org/10.1123/apaq.27.4.321.

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The purpose of this study was to examine the accuracy of spring-levered and piezoelectric pedometers for adults with and without Down syndrome (DS). Twenty adults with DS and 24 adults without a disability walked for two minute periods on a predetermined indoor course at a self-selected, slower and faster pace. Pedometer recorded and criterion observed steps were compared to determine pedometer error. There was a significant interaction between pedometer model and walking speed. Piezoelectric pedometers demonstrated significantly less measurement error than spring-levered pedometers, particularly at slower walking speeds. There were also significant differences in pedometer error between adults with and without DS. The study concludes that pedometer measurement error is significantly different for adults with DS but also that piezoelectric pedometers can be used in the future to measure walking activity for adults with and without DS.
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Zoellner, Jamie, Alicia Powers, Amanda Avis-Williams, Murugi Ndirangu, Earline Strickland, and Kathy Yadrick. "Compliance and Acceptability of Maintaining a 6-Month Pedometer Diary in a Rural, African American Community-Based Walking Intervention." Journal of Physical Activity and Health 6, no. 4 (July 2009): 475–82. http://dx.doi.org/10.1123/jpah.6.4.475.

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Background:Limited research has been done on the compliance and acceptability of maintaining pedometer diaries for an extensive time frame in community-based interventions targeting minority populations.Methods:Community “coaches” led participants in a 6-month community-based walking intervention that included wearing pedometers and maintaining pedometer diaries for the study duration. Descriptive statistics and ANOVA tests were used to evaluate compliance rates for maintaining diaries and daily step counts. After the intervention, focus groups were used to explore opinions regarding pedometers. Audiotapes were transcribed and evaluated using systematic content analysis.Results:The 8 coaches and 75 enrolled walking participants were primarily African American (98%) women (94%). Overall, the group (N = 83) submitted 85% of all possible pedometer diaries and recorded 73% of all possible daily step counts. Walking-group members were significantly (P < .01) more compliant if their coach was also compliant. Identified benefits of wearing pedometers and maintaining diaries outnumbered the barriers. Participants were enthusiastic about wearing the pedometers and indicated that the weekly diaries provided a source of motivation.Conclusions:This research suggests pedometer diaries are a viable intervention tool and research method for community-based physical activity interventions targeting African Americans and highlights the need for social support to promote pedometer diary compliance.
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Stanish, Heidi I. "Accuracy of Pedometers and Walking Activity in Adults with Mental Retardation." Adapted Physical Activity Quarterly 21, no. 2 (April 2004): 167–79. http://dx.doi.org/10.1123/apaq.21.2.167.

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Walking is a common physical activity reported by individuals with mental retardation (MR). This study examined the accuracy and feasibility of pedometers for monitoring walking in 20 adults with MR. Also, step counts and distance walked were recorded for one week. Pedometer counts were highly consistent with actual step counts during normal and fast paced walking on two ground surfaces. Intraclass correlation coefficients were above .95. A t-test revealed no gender differences in walking activity. A 2 × 2 ANOVA indicated that participants with Down Syndrome (DS) accumulated significantly fewer step counts than those without DS and participants walked more on weekdays than weekends.
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Pitchford, E. Andrew, and Joonkoo Yun. "Pedometer Variance in Adults With Down Syndrome During Free Walking: A Generalizability Study." Journal of Physical Activity and Health 8, no. 8 (November 2011): 1143–51. http://dx.doi.org/10.1123/jpah.8.8.1143.

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Background:Pedometers are a common instrument used to measure walking activity, yet reliability evidence in disability populations, particularly Down syndrome (DS), has received little attention. There may be systematic and random sources of error that could influence reliability under natural walking conditions. The purpose of this study was to examine the sources of variance and estimate reliability coefficients of spring-levered (SL) and piezoelectric (PZ) pedometers for adults with DS during a free-walking bout.Methods:Seventeen adults with DS and 23 adults without a disability walked continuously for a 20-minute period wearing 2 types of pedometers, SL and PZ. Step counts were analyzed using Generalizability theory to partition and quantify variance components and calculate reliability coefficients.Results:The largest variance component was due to individual participant differences. Adults with DS demonstrated greater intraindividual variability, but also had relatively low proportions of residual variance, or unexplained error. The SL pedometer showed problems with interunit variance while the PZ pedometer demonstrated little systematic error. Reliability coefficients were consistently higher for the PZ pedometer.Conclusions:This study found minimal systematic error and moderate reliability evidence for the PZ pedometer. This type of pedometer may be used in future research for adults with DS.
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Sheu, Jia-Shing, Wei-Cian Jheng, and Chih-Hung Hsiao. "Implementation of a Three-Dimensional Pedometer Automatic Accumulating Walking or Jogging Motions in Arbitrary Placement." International Journal of Antennas and Propagation 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/372814.

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This study proposes a method for using a three-axis accelerometer and a single-chip microcontrol unit to implement a three-dimensional (3D) pedometer that can automatically identify walking and running motions. The proposed design can calculate the number of walking and running steps down to small numbers of steps and can be easily worn, thus remedying defects of generic mechanical and 3D pedometers. The user’s motion state is calculated using a walk/run mode switching algorithm.
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Rosenberg, Dori E., Jacqueline Kerr, James F. Sallis, Gregory J. Norman, Karen Calfas, and Kevin Patrick. "Promoting Walking Among Older Adults Living in Retirement Communities." Journal of Aging and Physical Activity 20, no. 3 (July 2012): 379–94. http://dx.doi.org/10.1123/japa.20.3.379.

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The authors tested the feasibility and acceptability, and explored the outcomes, of 2 walking interventions based on ecological models among older adults living in retirement communities. An enhanced intervention (EI) was compared with a standard walking intervention (SI) among residents in 4 retirement facilities (N= 87 at baseline; mean age = 84.1 yr). All participants received a walking intervention including pedometers, printed materials, and biweekly group sessions. EI participants also received phone counseling and environmental-awareness components. Measures included pedometer step counts, activities of daily living, environment-related variables, physical function, depression, cognitive function, satisfaction, and adherence. Results indicated improvements among the total sample for step counts, neighborhood barriers, cognitive function, and satisfaction with walking opportunities. Satisfaction and adherence were high. Both walking interventions were feasible to implement among facility-dwelling older adults. Future studies can build on this multilevel approach.
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7

Colley, Rachel C., Joel D. Barnes, Allana G. Leblanc, Michael Borghese, Charles Boyer, and Mark S. Tremblay. "Validity of the SC-StepMX pedometer during treadmill walking and running." Applied Physiology, Nutrition, and Metabolism 38, no. 5 (May 2013): 520–24. http://dx.doi.org/10.1139/apnm-2012-0321.

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The purpose of this study was to examine the validity of the SC-StepMX pedometer for measuring step counts. A convenience sample of 40 participants wore 4 SC-StepMX pedometers, 2 Yamax DigiWalker pedometers, and 2 Actical accelerometers around their waist on a treadmill at 4 speeds based on each participant's self-paced walking speed (50%, 100%, 180%, and 250%; range: 1.4–14.1 km·h–1). The SC-StepMX demonstrated lower mean absolute percent error (–0.2%) compared with the Yamax DigiWalker (–20.5%) and the Actical (–26.1%). Mean measurement bias was lower for the SC-StepMX (0.1 ± 9.1; 95% confidence interval = –17.8 to 18.0 steps·min–1) when compared with both the Yamax DigiWalker (–15.9 ± 23.3; 95% confidence interval = –61.6 to 29.7 steps·min–1) and the Actical (–22.0 ± 36.3; 95% CI = –93.1 to 49.1 steps·min–1). This study demonstrates that the SC-StepMX pedometer is a valid tool for the measurement of step counts. The SC-StepMX accurately measures step counts at slower walking speeds when compared with 2 other commercially available activity monitors. This makes the SC-StepMX useful in measuring step counts in populations that are active at lower intensities (e.g., sedentary individuals, the elderly).
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Atkins, Amy, John Cannell, and Christopher Barr. "Pedometers alone do not increase mobility in inpatient rehabilitation: a randomized controlled trial." Clinical Rehabilitation 33, no. 8 (April 8, 2019): 1382–90. http://dx.doi.org/10.1177/0269215519838312.

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Objective: To test if pedometers, as a motivational tool, could affect mobility outcomes in inpatient rehabilitation. Design: Randomized controlled clinical trial. Setting: Subacute hospital rehabilitation unit in Australia. Participants: A total of 78 participants with reduced mobility and clinician-determined capacity to improve. Interventions: Both groups received usual care. For the intervention group, a pedometer was worn on the hip with the step count visible to participant and recorded daily on an exercise log. For the control group, a pedometer fixed shut was worn on the hip and they recorded estimated distances walked on an exercise log. Main measures: Primary outcome was functional mobility – De Morton Mobility Index. Secondary outcome measures were walking velocity, functional independence measure, time spent upright and daily step count. Results: Significant improvements over time ( P < 0.001) in functional mobility, comfortable walking velocity and functional independence measure were not influenced by the intervention. The daily average upright time (hours) in the first week of intervention was different ( P = 0.004) between the intervention group (median, interquartile range (IQR): 1.67, 1.77) compared to the control group (median, IQR: 1.12, 0.82). Conclusion: Pedometers as a motivational tool without targets do not improve functional mobility in this population. Pedometers may improve daily upright time in this setting.
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Patel, Asmita, Gregory Kolt, Grant Schofield, and Justin Keogh. "General practitioners’ views on the role of pedometers in health promotion." Journal of Primary Health Care 6, no. 2 (2014): 152. http://dx.doi.org/10.1071/hc14152.

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INTRODUCTION: Regular pedometer use can help initiate and maintain regular walking activity that can lead to a number of health-related benefits. The primary health care setting has been found to be an ideal venue in which to counsel low-active individuals for physical activity. AIM: To examine general practitioners’ (GPs) views on the role of pedometers in health promotion. METHODS: Fifteen GPs working in urban, primary care practices in Auckland, New Zealand were individually interviewed. The interview schedule focused on physical activity counselling and the Green Prescription programme. For this sub-study, the focus was on questions relating to pedometer use. An inductive thematic approach was used to analyse the data. FINDINGS: Four main themes were identified. Pedometers were viewed as motivational devices that could be used to encourage low-active patients to become more active, as they provided feedback on step counts. A pedometer was also viewed as a self-management tool, whereby the individual could set daily step count goals, which in turn could help increase their physical activity engagement. GPs who currently wore a pedometer discussed the practicalities of being able to show a patient how to use a pedometer. Also discussed was how cost could restrict pedometer access for some patients. CONCLUSIONS: Pedometers were viewed by GPs as being helpful devices that could help motivate and support low-active patients in becoming more active. Information regarding step counts was seen as important because it could make people aware how little physical activity they were engaging in. KEYWORDS: General practitioners; health promotion; sedentary lifestyle; walking
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Osawa, So, Hisaaki Tabuchi, Kenichi Nemoto, Shuhei Tokimasa, Shotaro Misaki, Masao Okuhara, and Koji Terasawa. "Comparison of Accuracy Among Pedometers from Five Japanese Manufacturers." Open Sports Sciences Journal 6, no. 1 (October 31, 2013): 56–61. http://dx.doi.org/10.2174/1875399x01306010056.

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The reliability of commercially available pedometers is not known in detail. Therefore, the present study examines the accuracy and reliability of the FS500 (Acos), HJ301 (Omron), EX700 (Yamax), FB727 (Tanita) and TW600 (Citizen) pedometers to count steps and measure energy expenditure at various walking speeds. Twenty individuals (age, 32.5 ± 15.3 years; body mass index, 22.0 ± 1.6 kg/m2) walked at three speeds for 6 min. Step-counts and energy expenditure determined by each pedometer were compared with actual values. All five pedometers accurately measured steps at all speeds, but tended to underestimate expended calories to within 50% of the actual amount of energy expenditure. The correlation coefficients (R) between actual energy expenditure and pedometer values were between 0.74 and 0.87. Thus, feedback about energy expenditure is somewhat inaccurate. In contrast, step counts are very accurate, and thus pedometers are useful tools with which to indicate daily exercise levels.
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11

Heidrich, B. "WALKING AND USING PEDOMETERS FOR INCREASED HEALTH." Journal of Investigative Medicine 55, no. 1 (January 2007): S108. http://dx.doi.org/10.1097/00042871-200701010-00198.

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12

Jackson, Erica M., Amy Howton, Sherry Grable, and Mitchell A. Collins. "Increasing Walking in College Students using Pedometers." Medicine & Science in Sports & Exercise 38, Supplement (May 2006): S121. http://dx.doi.org/10.1249/00005768-200605001-01433.

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13

Balmain, Bryce, Neil Tuttle, Joseph Bailey, Katie Cheng, Mitchell Duryea, Josephine Houlihan, James Wotherspoon, and Norman Morris. "Using Smart Socks to Detect Step-count at Slow Walking Speeds in Healthy Adults." International Journal of Sports Medicine 40, no. 02 (December 13, 2018): 133–38. http://dx.doi.org/10.1055/a-0732-5621.

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AbstractWe examined the accuracy of Smart Socks – a device that measures foot pressure during gait for detecting step-count across various walking speeds. Thirty-six participants (17 men; 19 women) wore Smart Socks (Sock), a pedometer (Pedometer), and a smartphone with a commercially available Phone Application (Phone) pedometer to measure step-count during 3-min of treadmill or over-ground walking at 1.3, 2.2, 3.0, 3.8, and 4.7 km/h. Steps were compared to a gold-standard tally-counter (Count), collected by independent assessors. All devices (Sock, Pedometer, and Phone) underestimated step-count when compared to Count at 1.3 km/h (p<0.05); however, Sock (27±18%) demonstrated a lower percent error compared to Phone (40±28%) and Pedometer (98±5%) (both p<0.01). At 2.2 km/h, Sock was not different compared to Count (Sock: 213±39; Count: 229±24 steps, p=0.25); however, both Phone (271±55 steps) and Pedometer (169±166 steps) were different compared to Count (p<0.05). At 3.0 km/h, both Sock (258±30 steps) and Pedometer (254±45 steps) were similar to Count (267±22 steps) (p>0.05); however, Phone (291±28 steps) overestimated step-count (p<0.01). All devices (Sock, Pedometer, and Phone) were similar to Count at 3.8, and 4.7 km/h (p>0.05). These findings demonstrate that Smart Socks are more accurate than pedometers used in the present study for detecting step-count during treadmill or over-ground ambulation at slower walking speeds.
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STEP, ERICEA. "DOES AUGMENTED FEEDBACK FROM PEDOMETERS INCREASE ADULTS' WALKING BEHAVIOR?" Perceptual and Motor Skills 99, no. 5 (2004): 392. http://dx.doi.org/10.2466/pms.99.5.392-402.

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15

Eastep, Eric, Sandy Beveridge, Patricia Eisenman, Lynda Ransdell, and Barry Shultz. "Does Augmented Feedback from Pedometers Increase Adults' Walking Behavior?" Perceptual and Motor Skills 99, no. 2 (October 2004): 392–402. http://dx.doi.org/10.2466/pms.99.2.392-402.

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STEP, ERICEA. "DOES AUGMENTED FEEDBACK FROM PEDOMETERS INCREASE ADULTS' WALKING BEHAVIOR?" Perceptual and Motor Skills 99, no. 6 (2004): 392. http://dx.doi.org/10.2466/pms.99.6.392-402.

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Hino, Kimihiro, Ayako Taniguchi, Masamichi Hanazato, and Daisuke Takagi. "Modal Shift from Cars and Promotion of Walking by Providing Pedometers in Yokohama City, Japan." International Journal of Environmental Research and Public Health 16, no. 12 (June 17, 2019): 2144. http://dx.doi.org/10.3390/ijerph16122144.

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Mobility management is a transportation policy aiming to change travel behavior from car use to sustainable transportation modes while increasing people’s physical activity. Providing pedometers and visualizing step counts, popular interventions in public health practice, may constitute a mobility management program. However, the ease of modal shifts and changeability of walking habits differ across neighborhood environments. Using questionnaire data from 2023 middle-aged and older participants from Yokohama, Japan, in May 2017, this study examined (1) the relationship between the physical and social environments of Yokohama Walking Point Program participants who volunteered to use free pedometers and their modal shifts from cars to walking and public transport, and (2) whether participants’ modal shifts were associated with increases in step counts. Multivariate categorical regression analyses identified the frequency of greetings and conversations with neighbors as well as health motivation as important explanatory variables in both analyses. Participants living in neighborhoods far from railway stations and in neighborhoods with a high bus stop density tended to shift to walking and public transport, a modal shift that was highly associated with increased step counts. These results suggest that mobility management should be promoted in collaboration with public health and city planning professionals.
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Vallance, Jeffrey K. H., Kerry S. Courneya, Ronald C. Plotnikoff, Yutaka Yasui, and John R. Mackey. "Randomized Controlled Trial of the Effects of Print Materials and Step Pedometers on Physical Activity and Quality of Life in Breast Cancer Survivors." Journal of Clinical Oncology 25, no. 17 (June 10, 2007): 2352–59. http://dx.doi.org/10.1200/jco.2006.07.9988.

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Purpose To determine the effects of breast cancer–specific print materials and step pedometers on physical activity (PA) and quality of life (QoL) in breast cancer survivors. Patients and Methods Breast cancer survivors (N = 377) were randomly assigned to receive one of the following: a standard public health recommendation for PA, previously developed breast cancer–specific PA print materials, a step pedometer, or a combination of breast cancer–specific print materials and step pedometers. The primary outcome was self-reported moderate/vigorous PA minutes per week. Secondary outcomes were QoL (Functional Assessment of Cancer Therapy–Breast), fatigue, self-reported brisk walking, and objective step counts. Assessments were conducted at baseline and postintervention (12 weeks). Results Attrition was 10.3% (39 of 377). On the basis of linear mixed-model analyses, PA increased by 30 minutes/week in the standard recommendation group compared with 70 minutes/week in the print material group (mean difference, 39 minutes/week; 95% CI = −10 to 89; d = 0.25; P = .117), 89 minutes/week in the pedometer group (mean difference, 59 minutes/week; 95% CI, 11 to 108; d = 0.38; P = .017), and 87 minutes/week in the combined group (mean difference, 57 minutes/week; 95% CI, 8 to 106; d = 0.37; P = .022). For brisk walking minutes/week, all three intervention groups reported significantly greater increases than the standard recommendation group. The combined group also reported significantly improved QoL (mean difference, 5.8; 95% CI, 2.0 to 9.6; d = 0.33; P = .003) and reduced fatigue (mean difference, 2.3; 95% CI, 0.0 to 4.7; d = 0.25; P = .052) compared with the standard recommendation group. Conclusion Breast cancer–specific PA print materials and pedometers may be effective strategies for increasing PA and QoL in breast cancer survivors. A combined approach appears to be optimal. Clinical Trial Registration ClinicalTrials.gov Identifier NCT00221221
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Umemura, K. "Technical note: Monitoring grazing bites and walking activity with pedometers." Journal of Dairy Science 96, no. 2 (February 2013): 1090–93. http://dx.doi.org/10.3168/jds.2012-5872.

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20

Butler, Lyra, and Dan Dwyer. "Pedometers may not provide a positive effect on walking activity." Health Promotion Journal of Australia 15, no. 2 (2004): 134–36. http://dx.doi.org/10.1071/he04134.

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Jehn, Melissa L., Arno Schmidt-Trucksäss, and Martin Halle. "VALIDITY AND RELIABILITY OF OMRON PEDOMETERS AT SLOW WALKING SPEEDS." Medicine & Science in Sports & Exercise 41, no. 9 (September 2009): 1826. http://dx.doi.org/10.1249/mss.0b013e3181ad81c1.

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Steeves, Jeremy A., Brian M. Tyo, Christopher P. Connolly, Douglas A. Gregory, Nyle A. Stark, and David R. Bassett. "Validity and Reliability of the Omron HJ-303 Tri-Axial Accelerometer-Based Pedometer." Journal of Physical Activity and Health 8, no. 7 (September 2011): 1014–20. http://dx.doi.org/10.1123/jpah.8.7.1014.

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Background:This study compared the validity of a new Omron HJ-303 piezoelectric pedometer and 2 other pedometers (Sportline Traq and Yamax SW200).Methods:To examine the effect of speed, 60 subjects walked on a treadmill at 2, 3, and 4 mph. Twenty subjects also ran at 6, 7, and 8 mph. To test lifestyle activities, 60 subjects performed front-back-side-side stepping, elliptical machine and stair climbing/descending. Twenty others performed ballroom dancing. Sixty participants completed 5 100-step trials while wearing 5 different sets of the devices tested device reliability. Actual steps were determined using a hand tally counter.Results:Significant differences existed among pedometers (P < .05). For walking, the Omron pedometers were the most valid. The Sportline overestimated and the Yamax underestimated steps (P < .05). Worn on the waist or in the backpack, the Omron device and Sportline were valid for running. The Omron was valid for 3 activities (elliptical machine, ascending and descending stairs). The Sportline overestimated all of these activities, and Yamax was only valid for descending stairs. The Omron and Yamax were both valid and reliable in the 100-step trials.Conclusions:The Omron HJ-303, worn on the waist, appeared to be the most valid of the 3 pedometers.
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Motl, Robert W., Edward McAuley, Erin M. Snook, and Jennifer A. Scott. "Accuracy of two electronic pedometers for measuring steps taken under controlled conditions among ambulatory individuals with multiple sclerosis." Multiple Sclerosis Journal 11, no. 3 (June 2005): 343–45. http://dx.doi.org/10.1191/1352458505ms1161oa.

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Pedometers are inexpensive and user-friendly devices that might be practical for measuring physical activity among individuals with multiple sclerosis (MS). This study involved an evaluation of the accuracy of two pedometers against actual steps taken under controlled laboratory conditions (five minute bouts of walking at five different treadmill speeds [41, 54, 67, 80, and 94 m—min-1]) among 23 individuals with MS who were ambulatory without an aide. Both pedometers exhibited good accuracy with the 67, 80, and 94 m=min-1 speeds, but poor accuracy with the 41 and 54 m=min-1 speeds. Those results support the quantification of physical activity using pedometers among those with MS who are ambulatory without an aide.
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Kambas, Antonis, Maria Michalopoulou, Ioannis G. Fatouros, Christos Christoforidis, Eirini Manthou, Dimitra Giannakidou, Fotini Venetsanou, et al. "The Relationship Between Motor Proficiency and Pedometer-Determined Physical Activity in Young Children." Pediatric Exercise Science 24, no. 1 (February 2012): 34–44. http://dx.doi.org/10.1123/pes.24.1.34.

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The aim of this study was to examine the relationship between motor proficiency and pedometer-determined physical activity in 5–6 year-old children. Participants (n = 232) were randomly recruited and assessed from 30 kindergartens in Northern Greece. Two trained researchers administered the measurements for the assessment of children’s motor proficiency by using the BOTMP-SF. Physical activity was assessed by OMRON pedometers. Significant relationships between BOTMP-SF standard score and steps (S), aerobic walking time (AWT) and aerobic steps (AS), (p < .05) were found. When motor proficiency was divided into quartiles to assess the distribution of the relationship between motor proficiency and pedometer- derived variables, significant associations were found for AWT, S and AS (p < .001). Young children with high levels of motor proficiency were more active in contrast to their peers with lower motor proficiency. The findings add to the growing body of literature that considers motor skills/abilities as important elements of physical activity participation. (Abbreviations: S-steps per day; AS-aerobic steps per day; AWT-aerobic walking time (minutesfiay−1); BOTMP-SF-Bruininks-Oseretsky Test of Motor Proficiency-Short Form (standard score))
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Dueker, Donna, W. James Gauderman, and Rob McConnell. "Accuracy of a New Time-Resolved Step Counter in Children." Pediatric Exercise Science 24, no. 4 (November 2012): 622–33. http://dx.doi.org/10.1123/pes.24.4.622.

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Most pedometers record cumulative steps, limiting ability to assess level of physical activity or nonwear periods. The SportBrain iStep X1 has potential to overcome this limitation by recording and storing step count data in 60-s epochs. We evaluated accuracy of this instrument in children and the duration of consecutive zero step count minutes that indicated nonwear time periods. Seventeen children walked or ran on a treadmill at 2, 3, 4 and 5 miles/hour and walked around a track while wearing the SportBrain and Digiwalker SW-701 pedometer. We compared percent error in step counts for each pedometers relative to observer counts. A subsample wore a SportBrain pedometer during up to 5 days of usual activity. The SportBrain pedometer performed with acceptable accuracy at all evaluated treadmill speeds and during self-paced walking, recording steps within an average of 4% of observed step counts. It outperformed the Digiwalker, especially at slower speeds and in overweight children. During normal wear only 1% of zero count periods were more than 60 min. We conclude that the SportBrain iStep X1 pedometer provides a valid measure of step counts in short averaging times useful for assessing patterns of physical activity in population studies and periods of nonwear.
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Bell, Gordon J., Vicki Harber, Terra Murray, Kerry S. Courneya, and Wendy Rodgers. "A Comparison of Fitness Training to a Pedometer-Based Walking Program Matched for Total Energy Cost." Journal of Physical Activity and Health 7, no. 2 (March 2010): 203–13. http://dx.doi.org/10.1123/jpah.7.2.203.

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Background:Fitness and health variables were measured in 128 sedentary men and women randomly assigned to 6 months of fitness training (F), a walking program (W), or a control (C) group.Methods:The F program gradually increased volume and intensity until 4 d/wk of training, at 70% of peak VO2 for 43 min/session was prescribed while the W group performed daily walking monitored with pedometers and increased until 10,000 steps×d−1 were prescribed. Total weekly energy expenditure was matched between the activity groups. The control group was asked to maintain their usual activity.Results:Body mass, waist circumference, waist/hip ratio, resting HR were reduced in all groups after 6 months (P < .05). Fasting glucose, glucose tolerance, and total cholesterol were similarly improved in all groups (P < .05). Blood pressure and HR decreased during submaximal exercise in all groups (P < .05) but rating of perceived exertion (RPE) was decreased only in the F group (P < .05). Only the F participants showed a significant increase in ventilatory threshold (VT; ~15%) and peak VO2 (~9%) after 6 months.Conclusions:Supervised fitness training in previously sedentary adults produced greater improvements in submaximal RPE, BPsys, VT, and peak VO2 but not other fitness and health-related variables compared with a pedometer-based walking program matched for total energy cost.
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Nielson, Rishann, Pat R. Vehrs, Gilbert W. Fellingham, Ronald Hager, and Keven A. Prusak. "Step Counts and Energy Expenditure as Estimated by Pedometry During Treadmill Walking at Different Stride Frequencies." Journal of Physical Activity and Health 8, no. 7 (September 2011): 1004–13. http://dx.doi.org/10.1123/jpah.8.7.1004.

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Background:The purposes of this study were to determine the accuracy and reliability of step counts and energy expenditure as estimated by a pedometer during treadmill walking and to clarify the relationship between step counts and current physical activity recommendations.Methods:One hundred males (n = 50) and females (n = 50) walked at stride frequencies (SF) of 80, 90, 100, 110, and 120 steps/min, during which time step counts and energy expenditure were estimated with a Walk4Life Elite pedometer.Results:The pedometer accurately measured step counts at SFs of 100, 110, and 120 steps/min, but not 80 and 90 steps/min. Compared with energy expenditure as measured by a metabolic cart, the pedometer significantly underestimated energy expenditure at 80 steps/min and significantly overestimated measured energy expenditure at 90, 100, 110, and 120 steps/ min.Conclusions:The pedometers’ inability to accurately estimate energy expenditure cannot be attributed to stride length entered into the pedometer or its ability to measure step counts. Males met 3 criteria and females met 2 criteria for moderate-intensity physical activity at SF of 110 to 120 steps/min. These results provide the basis for defining moderate-intensity physical activity based on energy expenditure and step counts and may lead to an appropriate steps/day recommendation.
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Hemmingsson, Erik, Ulf Ekelund, and Joanna Udden. "Bicycling but not Walking Is Independently Associated With Fasting Insulin in Abdominally Obese Women." Journal of Physical Activity and Health 8, no. 6 (August 2011): 820–23. http://dx.doi.org/10.1123/jpah.8.6.820.

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Background:The impact of walking and bicycling on insulin resistance (IR) in women with abdominal obesity is unclear.Methods:Pooled analysis of data from a randomized trial on physically active commuting (bicycling + walking vs walking only) in women with abdominal obesity [n = 98; age:47.3 ± 7.6 yrs; waist circumference (WC):103.1 ± 7.8 cm]. Bicycling and walking data were collected during 7 consecutive days by trip meters (Trelock FC-410) and pedometers (Yamax digiwalker SW-200) at baseline, 2, 4, and 6 months. Owing to a skew distribution we analyzed bicycling as a binary dummy variable with a 10 km/week cut-off. Fasting serum insulin and homeostatic model assessment – insulin resistance (HOMA-IR) were assessed at baseline and 6 months, as were body mass index (BMI), WC, and dual x-ray absorptiometry (DXA)-assessed % whole-body fat.Results:Increased bicycling by 10 km/wk was associated with reductions in fasting serum insulin at follow-up independent of age, treatment allocation, baseline phenotype, Δ walking, and Δ % body fat (β = −10.9, P = .042), but not HOMA-IR (β = −2.0, P = .13). Increased walking was not associated with fasting serum insulin (P = .33) or HOMA-IR (P = .44) at follow-up, after adjustment for the same covariates and Δ bicycling.Conclusion:Increased bicycling but not walking was associated with reduced insulin levels at follow-up. Bicycling may be more effective than walking for reducing insulin levels in abdominally obese women.
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Askew, C., F. Schroder, T. Vogt, and S. Schneider. "Can pedometers be used to prescribe walking intensity in older adults?" Journal of Science and Medicine in Sport 12 (January 2010): e125. http://dx.doi.org/10.1016/j.jsams.2009.10.259.

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Beevi, Femina H. A., Jorge Miranda, Christian F. Pedersen, and Stefan Wagner. "An Evaluation of Commercial Pedometers for Monitoring Slow Walking Speed Populations." Telemedicine and e-Health 22, no. 5 (May 2016): 441–49. http://dx.doi.org/10.1089/tmj.2015.0120.

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Merom, Dafna, Chris Rissel, Philayrath Phongsavan, Ben J. Smith, Cathelijne Van Kemenade, Wendy J. Brown, and Adrian E. Bauman. "Promoting Walking with Pedometers in the CommunityThe Step-by-Step Trial." American Journal of Preventive Medicine 32, no. 4 (April 2007): 290–97. http://dx.doi.org/10.1016/j.amepre.2006.12.007.

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Dinger, Mary K., Kristiann C. Heesch, and Kristi R. McClary. "Feasibility of a Minimal Contact Intervention to Promote Walking among Insufficiently Active Women." American Journal of Health Promotion 20, no. 1 (September 2005): 2–6. http://dx.doi.org/10.4278/0890-1171-20.1.2.

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Purpose. To examine the impact of a 6-week minimal contact intervention on walking behavior, the 10 processes of change of the transtheoretical model (TTM), and self-efficacy among insufficiently active women. Methods. This study used a pre-experimental design. Of the 43 women who began the study, 36 (84%) completed questionnaires at baseline and postintervention. They were given brochures and pedometers and were sent e-mails that contained messages designed to positively affect TTM constructs. Changes in time spent walking, use of the 10 processes of change, and self-efficacy were analyzed using Wilcoxon signed rank tests and paired t-tests. Results. Participants significantly increased their total walking minutes (p = .001) and use of counterconditioning, dramatic relief, reinforcement management, self-liberation, stimulus control, and social liberation (p < .05). Discussion. The findings of this feasibility study provide preliminary evidence that this theoretically based, minimal contact lifestyle intervention may be an effective, low-cost approach to increase walking among insufficiently active women.
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Tudor-Locke, Catrine, Susan B. Sisson, Tracy Collova, Sarah M. Lee, and Pamela D. Swan. "Pedometer-Determined Step Count Guidelines for Classifying Walking Intensity in a Young Ostensibly Healthy Population." Canadian Journal of Applied Physiology 30, no. 6 (December 1, 2005): 666–76. http://dx.doi.org/10.1139/h05-147.

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Purpose: (a) To establish pedometer steps/min intensity categories (i.e., light, moderate, hard, very hard) for adults under controlled conditions, and (b) use these cut-points to ascertain the number of steps expected in 30 minutes of moderate intensity activity. Methods: 25 men and 25 women, ages 18-39 years, performed 6-min exercise bouts at 3 treadmill speeds (4.8, 6.4, and 9.7 km/hr). Yamax SW-200 pedometers indicated steps, and steady-state [Formula: see text] was recorded. METs were calculated by dividing steady-state [Formula: see text] by 3.5 ml•kg−1 min−1. Linear regression was used to quantify the relationships between steps/min and METs across all speeds. Ten participants (5 M, 5 F) were randomly selected from the original 50 and constituted a holdout sample for cross-validation purposes (i.e, comparing actual and predicted METs; paired t-test). Results: The regression equation for males was: METs = −7.065 + (0.105*steps/min) r2 = 0.803. For females it was: METs = −8.805 + (0.110*steps/min) r2 = 0.830. Cross-validation was confirmed. Conclusions: Pedometer cut-points corresponding to minimal moderate intensity walking were 96 steps/min in men and 107 steps/min in women, or roughly 100 steps/min for both. This translates to approximately 3,000 steps in 30 min of moderate-intensity ambulatory activity for both genders. Key words: exercise, outcome assessment, motion sensor
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Mendoza, Laura, Paula Horta, José Espinoza, Miguel Aguilera, Nicolás Balmaceda, Ariel Castro, Mauricio Ruiz, Orlando Díaz, and Nicholas S. Hopkinson. "Pedometers to enhance physical activity in COPD: a randomised controlled trial." European Respiratory Journal 45, no. 2 (September 26, 2014): 347–54. http://dx.doi.org/10.1183/09031936.00084514.

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Physical inactivity is a cardinal feature of chronic obstructive pulmonary disease (COPD), and is associated with increased morbidity and mortality. Pedometers, which have been used in healthy populations, might also increase physical activity in patients with COPD.COPD patients taking part in a 3-month individualised programme to promote an increase in their daily physical activity were randomised to either a standard programme of physical activity encouragement alone, or a pedometer-based programme. Assessments were performed by investigators blinded to treatment allocation. Change in average 1-week daily step count, 6-min walking distance (6MWD), modified Medical Research Council scale, St George’s respiratory questionnaire (SGRQ) and COPD assessment test (CAT) were compared between groups.102 patients were recruited, of whom 97 completed the programme (pedometer group: n=50; control group: n=47); 60.8% were male with a mean±sd age of 68.7±8.5 years, and forced expiratory volume in 1 s (FEV1) 66.1±19.4% and FEV1/forced vital capacity 55.2±9.5%. Both groups had comparable characteristics at baseline. The pedometer group had significantly greater improvements in: physical activity 3080±3254 steps·day−1versus 138.3±1950 steps·day−1 (p<0.001); SGRQ −8.8±12.2 versus −3.8±10.9 (p=0.01); CAT score −3.5±5.5 versus −0.6±6.6 (p=0.001); and 6MWD 12.4±34.6 versus −0.7±24.4 m (p=0.02) than patients receiving activity encouragement only.A simple physical activity enhancement programme using pedometers can effectively improve physical activity level and quality of life in COPD patients.
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Dallas, MI, C. McCusker, MC Haggerty, CL Rochester, R. ZuWallack, and Northeast Pulmonary Rehabilitation. "Using pedometers to monitor walking activity in outcome assessment for pulmonary rehabilitation." Chronic Respiratory Disease 6, no. 4 (November 2009): 217–24. http://dx.doi.org/10.1177/1479972309346760.

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Hiebert, Jean M., Carmen E. Briscoe, Emily T. Meyer, Sarah G. Schwandt, and Lauren D. Simpson. "ACCURACY OF PEDOMETERS DURING SELF-PACED WALKING AND ASCENDING AND DESCENDING STAIRS." Cardiopulmonary Physical Therapy Journal 18, no. 4 (December 2004): 25. http://dx.doi.org/10.1097/01823246-200418040-00014.

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Hiebert, Jean M., Carmen E. Briscoe, Emily T. Meyer, Sarah G. Schwandt, and Lauren D. Simpson. "ACCURACY OF PEDOMETERS DURING SELF-PACED WALKING AND ASCENDING AND DESCENDING STAIRS." Cardiopulmonary Physical Therapy Journal 18, no. 4 (December 2007): 25. http://dx.doi.org/10.1097/01823246-200718040-00014.

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HOLBROOK, ELIZABETH A., TIAGO V. BARREIRA, and MINSOO KANG. "Validity and Reliability of Omron Pedometers for Prescribed and Self-Paced Walking." Medicine & Science in Sports & Exercise 41, no. 3 (March 2009): 670–74. http://dx.doi.org/10.1249/mss.0b013e3181886095.

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Giannakidou, Dimitra M., Antonis Kambas, Nikolaos Ageloussis, Ioannis Fatouros, Christos Christoforidis, Fotini Venetsanou, Ioannis Douroudos, and Kyriakos Taxildaris. "The validity of two Omron pedometers during treadmill walking is speed dependent." European Journal of Applied Physiology 112, no. 1 (April 9, 2011): 49–57. http://dx.doi.org/10.1007/s00421-011-1951-y.

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Mattfeld, Ryan, Elliot Jesch, and Adam Hoover. "Evaluating Pedometer Algorithms on Semi-Regular and Unstructured Gaits." Sensors 21, no. 13 (June 22, 2021): 4260. http://dx.doi.org/10.3390/s21134260.

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Pedometers are popular for counting steps as a daily measure of physical activity, however, errors as high as 96% have been reported in previous work. Many reasons for pedometer error have been studied, including walking speed, sensor position on the body and pedometer algorithm, demonstrating some differences in error. However, we hypothesize that the largest source of error may be due to differences in the regularity of gait during different activities. During some activities, gait tends to be regular and the repetitiveness of individual steps makes them easy to identify in an accelerometer signal. During other activities of everyday life, gait is frequently semi-regular or unstructured, which we hypothesize makes it difficult to identify and count individual steps. In this work, we test this hypothesis by evaluating the three most common types of pedometer algorithm on a new data set that varies the regularity of gait. A total of 30 participants were video recorded performing three different activities: walking a path (regular gait), conducting a within-building activity (semi-regular gait), and conducting a within-room activity (unstructured gait). Participants were instrumented with accelerometers on the wrist, hip and ankle. Collectively, 60,805 steps were manually annotated for ground truth using synchronized video. The main contribution of this paper is to evaluate pedometer algorithms when the consistency of gait changes to simulate everyday life activities other than exercise. In our study, we found that semi-regular and unstructured gaits resulted in 5–466% error. This demonstrates the need to evaluate pedometer algorithms on activities that vary the regularity of gait. Our dataset is publicly available with links provided in the introduction and Data Availability Statement.
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de Melo, Lucelia Luna, Verena Menec, Michelle M. Porter, and A. Elizabeth Ready. "Personal Factors, Perceived Environment, and Objectively Measured Walking in Old Age." Journal of Aging and Physical Activity 18, no. 3 (July 2010): 280–92. http://dx.doi.org/10.1123/japa.18.3.280.

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This study examined the associations between walking behavior and the perceived environment and personal factors among older adults. Sixty participants age 65 yr or older (mean 77 ± 7.27, range 65–92) wore pedometers for 3 consecutive days. Perceived environment was assessed using the Neighborhood Environment Walk-ability Scale (abbreviated version). Physical function was measured using the timed chair-stands test. The mean number of steps per day was 5,289 steps (SD = 4,029). Regression analyses showed a significant association between personal factors, including physical function (relative rate = 1.05, p < .01) and income (RR = 1.43, p < .05) and the average daily number of steps taken. In terms of perceived environment, only access to services was significantly related to walking at the univariate level, an association that remained marginally significant when controlling for personal characteristics. These results suggest that among this sample of older adults, walking behavior was more related to personal and intrinsic physical capabilities than to the perceived environment.
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Cook, I. "Pedometer step counting in South Africa: tools or trinkets?" South African Journal of Sports Medicine 18, no. 3 (February 5, 2006): 67. http://dx.doi.org/10.17159/2078-516x/2006/v18i3a238.

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Objectives. This study addressed (i) the accuracy of measuring ambulatory signals and (ii) the susceptibility to nonambulatory signals, of the Discovery Vitality Pedometer (VT) and the Kellogg's Special K Step Counter (KL) compared with three research-grade pedometers (DW: Yamax DigiWalker SW-401, MTI: MTI Actigraph AM-7164-2.2 , NL: New Lifestyles NL 2000). Design. One hundred instruments (20 instruments/brand) were tested at five level walking speeds on a motorised treadmill (3.24, 4.02, 4.80, 5.64, 6.42 km.hr-1) and during motor vehicle travel on tarred roads (62.9 km). Results. The KL was highly variable across all speeds, while the VT tended to be variable at the lowest speed. The DW, NL and VT significantly underestimated steps below 4.80km.hr-1 (41 - 94%, p < 0.02) but accuracy improved at speeds ≥ 4.80 km.hr-1 (98 - 102%). The KL displayed the highest variability (60% inter-instrument variance) followed by the VT (10% inter-instrument variance). The research-grade pedometers were the least variable (0 - 1% inter-instrument variance). At 4.80 km.hr-1, all research- grade pedometers measured within a 10% margin of error compared with the 90% of VT units and 42% of KL units. The VT was significantly more resistant to nonambulatory signals than the DW (p < 0.01). The KL was the most variable in its response to non-ambulatory signals while the NL was the most consistent. The MTI detected the most non-ambulatory signals (p < 0.05). Conclusions. The KL should not be used as a promotional pedometer. The VT achieved the minimum standards required of a promotional pedometer. Further testing is required for longevity, and performance under free-living conditions. South African Journal of Sports Medicine Vol. 18 (3) 2006: pp. 67-78
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Cook, I. "Pedometer step counting in South Africa: tools or trinkets?" South African Journal of Sports Medicine 18, no. 3 (February 5, 2009): 67. http://dx.doi.org/10.17159/2413-3108/2006/v18i3a238.

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Objectives. This study addressed (i) the accuracy of measuring ambulatory signals and (ii) the susceptibility to nonambulatory signals, of the Discovery Vitality Pedometer (VT) and the Kellogg's Special K Step Counter (KL) compared with three research-grade pedometers (DW: Yamax DigiWalker SW-401, MTI: MTI Actigraph AM-7164-2.2 , NL: New Lifestyles NL 2000). Design. One hundred instruments (20 instruments/brand) were tested at five level walking speeds on a motorised treadmill (3.24, 4.02, 4.80, 5.64, 6.42 km.hr-1) and during motor vehicle travel on tarred roads (62.9 km). Results. The KL was highly variable across all speeds, while the VT tended to be variable at the lowest speed. The DW, NL and VT significantly underestimated steps below 4.80km.hr-1 (41 - 94%, p < 0.02) but accuracy improved at speeds ≥ 4.80 km.hr-1 (98 - 102%). The KL displayed the highest variability (60% inter-instrument variance) followed by the VT (10% inter-instrument variance). The research-grade pedometers were the least variable (0 - 1% inter-instrument variance). At 4.80 km.hr-1, all research- grade pedometers measured within a 10% margin of error compared with the 90% of VT units and 42% of KL units. The VT was significantly more resistant to nonambulatory signals than the DW (p < 0.01). The KL was the most variable in its response to non-ambulatory signals while the NL was the most consistent. The MTI detected the most non-ambulatory signals (p < 0.05). Conclusions. The KL should not be used as a promotional pedometer. The VT achieved the minimum standards required of a promotional pedometer. Further testing is required for longevity, and performance under free-living conditions. South African Journal of Sports Medicine Vol. 18 (3) 2006: pp. 67-78
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Powell, Emma, Lorayne Woodfield, Alexander Powell, Alan Nevill, and Tony Myers. "Evaluation of a Walking-Track Intervention to Increase Children’s Physical Activity during Primary School Break Times." Children 5, no. 10 (September 25, 2018): 135. http://dx.doi.org/10.3390/children5100135.

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Despite the known benefits of engaging in daily moderate to vigorous physical activity (MVPA), only 22% of children in England are meeting the recommended guidelines. School break times have been advocated as a key part of children’s daily routines in which their MVPA can be increased. The main aim of this study was to evaluate the effect of installing a walking-track on children’s MVPA during school break times. A mixed method design was employed which allowed for the quantitative measurement of children’s PA at three time points (baseline, mid-intervention (1–5 weeks) and follow-up (6–9 weeks)), using pedometers (n = 81, 5–9 years) and systematic observation (n = 23, 7–9 years). A semi-structured interview (n = 1) was also conducted at 10 weeks’ follow-up. The installation of the walking-track was grounded in a unique set of theoretical constructs to aid the behaviour change of the teachers. Short term positive increases in girls’ and boys’ MVPA and longer term increases in boys’ vigorous PA (VPA) were found. Qualitative data highlighted that boys dominated the walking-track and the inconsistent behaviour of school staff negatively impacted upon children’s MVPA. A set of principles to guide the installment of walking-tracks in school playgrounds are recommended.
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Dewa, Carolyn S., Wayne deRuiter, Nancy Chau, and Kim Karioja. "Walking for Wellness: Using Pedometers to Decrease Sedentary Behaviour and Promote Mental Health." International Journal of Mental Health Promotion 11, no. 2 (May 2009): 24–28. http://dx.doi.org/10.1080/14623730.2009.9721784.

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Warren, Barbour S., Joseph J. Wakshlag, Mary Maley, Tracy J. Farrell, Angela M. Struble, Matthew R. Panasevich, and Martin T. Wells. "Use of pedometers to measure the relationship of dog walking to body condition score in obese and non-obese dogs." British Journal of Nutrition 106, S1 (October 12, 2011): S85—S89. http://dx.doi.org/10.1017/s0007114511001814.

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The objective of the present study was to utilise an accurate canine pedometer methodology and to assess the relationship between activity and body condition score (BCS) in dogs. Initial methodology validation used videography and pedometer step measurements to assess actual steps taken in comparison with pedometer readings for twenty large, medium and small dogs. During the validation, dogs considered to be medium or large breed showed no significant difference between pedometer readings and actual steps taken. A total of seventy-seven obese and non-obese dogs over 35 cm (14 inches) shoulder height and over 10 kg were recruited from a dog obesity clinic and a community sample to assess daily walking activity. Body condition scoring and pedometer steps were assessed on three separate weeks during a 10-week period. During the activity monitoring, daily step counts ranged from 5555 to 39 970 steps/d among the seventy-seven medium and large dogs. Dogs’ BCS were inversely correlated with average daily steps (Spearman's ρ = − 0·442, P < 0·0001). The present study identified a significant inverse correlation between daily walking steps and BCS over a range from 4 to 9 out of 9 (P < 0·0001).
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Kantanista, Adam, Michał Bronikowski, Ida Laudańska-Krzemińska, Magdalena Król-Zielińska, and Wiesław Osiński. "Positive effect of pedometer-based walking intervention on body image and physical activity enjoyment in adolescent girls." Biomedical Human Kinetics 9, no. 1 (February 23, 2017): 34–42. http://dx.doi.org/10.1515/bhk-2017-0006.

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Summary Study aim: To assess the effects of an eight-week pedometer-based walking intervention, using different strategies of goalsetting, on self-efficacy, physical activity enjoyment, and body image.Material and methods: The study included data from 82 girls, aged 16 to 18 years. The participants took part in the intervention using goal setting with the do your best strategy (do your best group, n = 26) or specific step goals predetermined by the researcher (predetermined goals group, n = 56). The group of participants from the predetermined goals group was divided into a group of those achieving the goals (n = 28) and a group where goals were not achieved (n = 28). Self-efficacy, body image, and physical activity enjoyment were assessed before and after the intervention.Results: The results of ANOVA with repeated measures between the measurement times and groups showed a significant effect of body image (F = 3.60, p = 0.03, η² = 0.08) and physical activity enjoyment (F = 3.10, p = 0.05, η² = 0.07). Participants who achieved goals in step counts predetermined by the researcher had a more positive body image and a higher level of physical activity enjoyment after the intervention.Conclusion: An eight-week pedometer-based walking program implemented in a school setting may improve body image and physical activity enjoyment in adolescent girls only if the set goals (the number of steps) are specific and fully achieved by participants. Using pedometers in conjunction with a goal setting program seems to be an effective motivational way to improve physical activity in female students.
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Yoshioka, H., H. Matsuda, K. Sasaguri, and M. Yonai. "21 RELATIONSHIP BETWEEN DURATION OF ESTRUS BEHAVIOR DETERMINED BY RADIOTELEMETORY SYSTEM AND THREE FACTORS (MILK PRODUCTION, STEROID HORMONE, AND OVULATION TIME) IN DAIRY COWS." Reproduction, Fertility and Development 19, no. 1 (2007): 129. http://dx.doi.org/10.1071/rdv19n1ab21.

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Many studies have reported on the low fertility of dairy herds during the past several years. The object of this study was to investigate the relationships between duration of estrus and various factors (milk production, peripheral steroid hormones, and period from estrus to ovulation). All primiparous and multiparous Holstein cows (n = 62) were fitted pedometers (Gyuho; Comtec, Miyazaki, Japan) that measure total counts of walking activity per hour and send the individual cow
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Miyauchi, Masaaki, Masao Toyoda, Noriko Kaneyama, Han Miyatake, Eitaro Tanaka, Moritsugu Kimura, Tomoya Umezono, and Masafumi Fukagawa. "Exercise Therapy for Management of Type 2 Diabetes Mellitus: Superior Efficacy of Activity Monitors over Pedometers." Journal of Diabetes Research 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/5043964.

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We compared the efficacy of activity monitor (which displays exercise intensity and number of steps) versus that of pedometer in exercise therapy for patients with type 2 diabetes. The study subjects were divided into the activity monitor group (n=92) and pedometer group (n=95). The primary goal was improvement in hemoglobin A1c (HbA1c). The exercise target was set at 8,000 steps/day and 20 minutes of moderate-intensity exercise (≥3.5 metabolic equivalents). The activity monitor is equipped with a triple-axis accelerometer sensor capable of measuring medium-intensity walking duration, number of steps, walking distance, calorie consumption, and total calorie consumption. The pedometer counts the number of steps. Blood samples for laboratory tests were obtained during the visits. The first examination was conducted at the start of the study and repeated at 2 and 6 months. A significant difference in the decrease in HbA1c level was observed between the two groups at 2 months. The results suggest that the use of activity level monitor that displays information on exercise intensity, in addition to the number of steps, is useful in exercise therapy as it enhances the concept of exercise therapy and promotes lowering of HbA1c in diabetic patients.
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Marigliano, Elisabeth, Pamela Stewart Fahs, and Cristina Ludden. "Walking for Heart Health: A Study of Adult Women in Rural New York." Creative Nursing 22, no. 4 (2016): 268–75. http://dx.doi.org/10.1891/1078-4535.22.4.268.

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Purpose: The study was undertaken to partially address the number one priority for Delaware County for 2013–2017: reducing chronic illness including heart disease and obesity (Delaware County Public Health, 2013). Thus, the purpose was to examine the effects of a 10-week walking program on outcomes, such as blood pressure (BP), total cholesterol (TC), high-density lipoprotein (HDL) levels, body mass index (BMI), 10-year cardiovascular risk, and results of a 6-minute walk test, for adult women in a rural community in New York.Methods: A quasi-experimental study conducted 8 paired t tests of pre- and postdata using Bonferroni correction for multiple t tests. A convenience sample of 70 retained 62 to completion. Pre- and post-BMI, TC, HDL, BP, and a 6-minute walk test data were collected for each participant. Pedometer activity was collected throughout the program with computer downloads at 5 and 10 weeks. Sociodemographic variables including age, self-reported ethnicity, and educational level were used to describe the sample and trends in the data.Findings: Age range was 29–79 years (M = 55) years. Mean pretest weight was 181 lb; mean BMI was 30.7 kg/m2. There was a statistically significant improvement (p < .05) in weight, BMI, TC, systolic blood pressure (SBP), and 6-minute walk test. All comparisons retained significance except TC after the Bonferroni correction. There was also a statistically significant increase (p < .05) in aerobic steps from midway to end of study after an incentive raffle challenge was introduced.Conclusions: The data suggest that a community walking program using pedometers with tracking capabilities was successful in increasing steps and improving select cardiovascular disease (CVD) risk factors in a group of women in a rural community in New York.
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