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Academic literature on the topic 'Pedometers'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 January 2023

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Journal articles on the topic "Pedometers"

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Ling, Jiying, and Kristi M. King. "Measuring Physical Activity of Elementary School Children With Unsealed Pedometers: Compliance, Reliability, and Reactivity." Journal of Nursing Measurement 23, no. 2 (2015): 271–86. http://dx.doi.org/10.1891/1061-3749.23.2.271.

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Background and Purpose: Evidence of compliance, reliability, and reactivity of using pedometers in children remains inconsistent. This study aimed to examine these aspects of unsealed pedometers. Methods: There were 133 children who wore pedometers for 7 days. A subsample of 50 children completed surveys measuring self-efficacy, enjoyment, parental influence, and environment on Day 1 and 8. Investigator presence and incentives were used to increase compliance. Results: About 87% of children returned pedometers, with 62% wearing pedometers for 4 days or longer. The intraclass correlation coefficients ranged from .70 to .87, with ICC for 4-day pedometer steps exceeding .80. Wearing pedometers did not change pedometer steps nor alter children’s perceptions of self-efficacy, enjoyment, parental influence, and environment significantly. Conclusions: Children were compliant wearing pedometers, and there was no reactivity from wearing them.
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Beets, Michael W., John T. Foley, Daniel W. S. Tindall, and Lauren J. Lieberman. "Accuracy of Voice-Announcement Pedometers for Youth with Visual Impairment." Adapted Physical Activity Quarterly 24, no. 3 (July 2007): 218–27. http://dx.doi.org/10.1123/apaq.24.3.218.

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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.
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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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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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Tanaka, Chiaki, Yuki Hikihara, Shigeru Inoue, and Shigeho Tanaka. "The Choice of Pedometer Impacts on Daily Step Counts in Primary School Children under Free-Living Conditions." International Journal of Environmental Research and Public Health 16, no. 22 (November 9, 2019): 4375. http://dx.doi.org/10.3390/ijerph16224375.

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Background: We examined whether daily step counts under free-living conditions differed among four types of pedometers used by primary school children. Methods: In Study one, we compared the Yamax SW-200 (widely used in research) and the Kenz Lifecorder (accelerometer-based pedometer) in 30 children (6–12 years). In Study two, after confirming good correlation between these devices, we used Kenz Lifecorder as the criterion device and compared it with the Yamasa EX-200 (pants pocket-type pedometer) and the Omron Active style Pro (accelerometer-based pedometer) among 48 (7–12 years) or 108 children (7–12 years). Results: In Study one, comparable mean step counts between pedometers were observed. The correlation was strong (r = 0.91); the average difference between these two pedometers was +4.5%. In Study two, the average differences between Kenz Lifecorder and Yamasa EX-200 and Kenz Lifecorder and Omron Active style Pro were −7.9% and −18.2%, respectively, and those were not significantly equivalent according to the two one-sided-tests method. The correlations between Yamasa or Omron Active style Pro and Lifecorder were moderate and strong, respectively. Conclusions: The choice of pedometer had a substantial impact on step counts. A consensus on the appropriate pedometer for quantifying daily step counts is needed for evidence-based recommendations for health promotion.
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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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Tudor-Locke, Catrine, David R. Bassett, Michael F. Shipe, and James J. McClain. "Pedometry Methods for Assessing Free-Living Adults." Journal of Physical Activity and Health 8, no. 3 (March 2011): 445–53. http://dx.doi.org/10.1123/jpah.8.3.445.

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Background:The purpose of this review is to update the methodological aspects of pedometry to encourage the consistent use of pedometers for assessment, to decrease sources of error, and to facilitate comparison and interpretation of results.Methods:The specific measurement topics addressed include: instrument choice, metric choice, validity, reliability, data collection and retrieval, time worn, day-to-day variability, monitoring time frame, reactivity, and data treatment.Results:A wide variety of valid and reliable instruments are commercially available and we can expect continued evolutions in value-added features as supporting technology improves. Data collection and retrieval has been achieved through various methods, including face-to-face contact, fax, e-mail, website, and conventional mail, and sometimes a combination of these. Day-to-day variation is not random, as would be expected from inconsistent pedometer performance, but rather exposes true behavior instability that can be explained by other factors and described using a coefficient of variation. Data reduction should be conducted cautiously and only after a full discovery (and disclosure) of its impact on aggregated group statistics and their relationship with other parameters.Conclusions:We have no doubt that research with pedometers will continue to yield new and important insights in the coming years.
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Zhu, Weimo, and Miyoung Lee. "Invariance of Wearing Location of Omron-BI Pedometers: A Validation Study." Journal of Physical Activity and Health 7, no. 6 (November 2010): 706–17. http://dx.doi.org/10.1123/jpah.7.6.706.

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Background:The purpose of this study was to investigate the validity and reliability evidences of the Omron BI pedometer, which could count steps taken even when worn at different locations on the body.Methods:Forty (20 males and 20 females) adults were recruited to walk wearing 5 sets, 1 set at a time, of 10 BI pedometers during testing, 1 each at 10 different locations. For comparison, they also wore 2 Yamax Digi-Walker SW-200 pedometers and a Dynastream AMP 331 activity monitor. The subjects walked in 3 free-living conditions: a fat sidewalk, stairs, and mixed conditions.Results:Except for a slight decrease in accuracy in the pant pocket locations, Omron BI pedometers counted steps accurately across other locations when subjects walked on the fat sidewalk, and the performance was consistent across devices and trials. When the subjects climbed up stairs, however, the absolute error % of the pant pocket locations increased significantly (P < .05) and similar or higher error rates were found in the AMP 331 and SW-200s.Conclusions:The Omron BI pedometer can accurately count steps when worn at various locations on the body in free-living conditions except for front pant pocket locations, especially when climbing stairs.
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Thuy, Au Bich, Leigh Blizzard, Michael Schmidt, Costan Magnussen, Emily Hansen, and Terence Dwyer. "Using Pedometers to Estimate Ambulatory Physical Activity in Vietnam." Journal of Physical Activity and Health 8, no. 1 (January 2011): 52–61. http://dx.doi.org/10.1123/jpah.8.1.52.

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Background:Pedometer measurement of physical activity (PA) has been shown to be reliable and valid in industrialized populations, but its applicability in economically developing Vietnam remains untested. This study assessed the feasibility, stability and validity of pedometer estimates of PA in Vietnam.Methods:250 adults from a population-based survey were randomly selected to wear Yamax pedometers and record activities for 7 consecutive days. Stability and concurrent validity were assessed using intraclass correlation coefficients (ICC) and Spearman correlation coefficients.Results:Overall, 97.6% of participants provided at least 1 day of usable recordings, and 76.2% wore pedometers for all 7 days. Only 5.2% of the sample participants were involved in work activities not measurable by pedometer. The number of steps increased with hours of wear. There was no significant difference between weekday and weekend in number of steps, and at least 3 days of recordings were required (ICC of the 3 days of recordings: men 0.96, women 0.97). Steps per hour were moderately correlated (men r = .42, women r = .26) with record estimates of total PA.Conclusions:It is feasible to use pedometers to estimate PA in Vietnam. The measure should involve at least 3 days of recording irrespective of day of the week.
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Dissertations / Theses on the topic "Pedometers"

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Grabowski, Catherine A. "The measurement of daily physical activity with the addition of moderate physical activity using pedometers." Virtual Press, 2005. http://www.oregonpdf.org.

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Mathews, Jamie L. "The effect of pedometer feedback on physical activity." Virtual Press, 2005. http://liblink.bsu.edu/uhtbin/catkey/1315172.

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Inactivity is a risk factor for cardiovascular disease. The use of pedometers for measuring ambulatory physical activity is becoming increasingly popular. One of the potential benefits of wearing a pedometer is acquiring instant feedback. Purpose: The purpose of this study was to determine whether feedback from a pedometer would result in an increase in ambulatory physical activity. Methods: Thirty sedentary adults, six men and twenty-four women, (46 ± 12 years, mean + SD) and BMI, (30.6 + 6.1 kg•m 2, mean + SD) were recruited to wear a New Lifestyles NL-2000 pedometer (capable of storing up to 7 days worth of data) for a total of twelve days. Subjects were divided into two groups. One group received feedback and recorded the number of steps taken four times per day on a log card for the first six days but not the second six days. The other group did not receive feedback the first six days but did the second. The order of whether or not subjects received feedback from the pedometer the first or second six days was randomized.Prior to the study, subjects were not given a recommendation as to how many steps•day' they should accumulate but were given the Surgeon General's recommendation on physical activity. The average number of daily steps for each condition was calculated at the end of each six-day period. Results: No order of effect (whether or not subjects received feedback the first or second week) was evident. Subjects accumulated (mean + SE) 7,409 + 384 steps-day' during the feedback week and 7,041 + 374 steps-day' during the non-feedback week; however, this difference was not statistically significant (p = 0.27). When feedback and non-feedback days were combined and averaged, there were no significant correlations between steps-day' and BMI (r = -0.33) or age (r = -0.33). Conclusions: These findings suggest that feedback from a pedometer resulted in a modest, yet insignificant increase in the number of steps•day-' in a sedentary, adult population when no target step accumulation was assigned.
School of Physical Education, Sport, and Exercise Science
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Loucaides, Constantinos Andreou. "The physical activity levels of Cypriot children and correlates of their activity." Thesis, University of Exeter, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248476.

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Sperry, Mary Dawn. "The Effect of Leisure-Based Screen Time on Physical Activity." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd974.pdf.

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Jones, Jason L. "Pedometer intervention to increase physical activity of patients entering a maintenance cardiac rehabilitation program." Muncie, IN : Ball State University, 2009. http://cardinalscholar.bsu.edu/654.

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Dock, Melissa. "Influence of pedometer tilt angle on step counting validity during controlled treadmill walking trials." Thesis, Montana State University, 2008. http://etd.lib.montana.edu/etd/2008/dock/DockM0508.pdf.

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Pedometers are tools frequently used to monitor walking-related physical activity patterns of overweight and obese populations. However, there is a known association between increasing body mass index (BMI) and decreasing pedometer accuracy. The decrease in pedometer accuracy has been attributed to tilt angle, but the specific tilt angle where pedometers fail to maintain accuracy is unclear. PURPOSE: The purpose of this study was to test two popular pedometer mechanisms, accelerometry- and pendulum-based, to determine the specific tilt angle where the pedometers fail to maintain step counts accurately. METHODS: Twenty subjects (10 men, Mean±SD: 25.4±4.2 yrs, 184.4±5.3 cm, 76.7±6.3 kg; 10 women: 21.6±3 yrs, 166.1±6.3 cm, 56.7±6.7 kg) walked two sets of 21 trials at a combination of treadmill speed (67.0, 80.4, 93.8 m/min) and tilt angle (-30,-20,-10, 0,+10,+20,+30°) while wearing two pedometers; the experimental pedometer attached to a custom-built pedometer gimbal for altering tilt angle, and the control pedometer in a neutral position (±2° of 0°). The pedometers were worn on each hip just anterior to the iliac crest in line with the mid-axillary line of the thigh. The first set of trials tested one pedometer mechanism, while the second set of trials tested the second pedometer mechanism in a counterbalanced order. Mean steps from the experimental pedometer were compared to the control pedometer for each trial (ΔStep=Experimental-Control) using a 3-factor RMANOVA at an alpha level of 0.05. RESULTS: Mean Δsteps for the accelerometry-based pedometer and the pendulum-based pedometer differed significantly (P<0.05) at tilt angles >±10° for treadmill speeds 0° (-30, -20, -10, +10, +20, +30°, respectively). CONCLUSIONS: Increasing tilt angle caused a decrease in pedometer accuracy for both pedometer mechanisms, although the accelerometry-based pedometers were less affected. Negative tilt angles had less effect on pedometer accuracy than positive tilt angles, and the combination of increasing positive tilt angle and slower speeds had the greatest impact on step count accuracy.
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Brown, Ernest Leroy. "Reliability and Validity of Pedometers in a Free-living Environment." PDXScholar, 1995. https://pdxscholar.library.pdx.edu/open_access_etds/4870.

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In the field of exercise science there exists no single best method, or tool, for the measurement of physical activity, in particular, activity in everyday free-living conditions. The pedometer, a tool for recording the number of steps taken by an individual, could potentially measure this important component of free-living physical activity. To establish the reliability and validity of the pedometer, 40 subjects wore two pedometers (same brand) in two consecutive I 0-minute trials during normal daily activity. Both trials were videotaped. Each videotape segment was replayed, the number of steps were counted and this count served as the criterion measure of steps. In order to evaluate the reliability of the criterion measure the researcher recounted ten of the forty trials a second time and performed an intraclass reliability estimate and follow-up ANOVA comparing the two separate counts. This yielded an intra-observer reliability estimate of R=0.99 (F=l .36, p=.27). Data analyses included trial-to-trial comparisons of pedometer recordings, left-toright comparisons of pedometer recordings, and comparisons of pedometer recordings to the established criterion scores. Results of trial-to-trial comparisons yielded intraclass reliability estimates of R=0.87 (F=l .51, p=.23) for the left side pedometer and R=0.90 (F=.97, p=.33) for the right side pedometer; no significant differences were found. Estimates of pedometer consistency (left versus right pedometer) yielded a correlation ofR=0.96, with follow-up ANOVA (F=6.46 and p=.02) indicating significant differences between left and right side pedometers. Comparisons of pedometers to the established criterion scores (validity) yielded correlations ofR=0.84 (F=l .85, p=.18) for the left pedometer and R=O. 79 (F=S. 71, p=.02) for the right pedometer. Follow-up ANOVA indicated a significant difference between pedometer and criterion scores for the right pedometer but not the left. Under the conditions of this study, the pedometer worn at the waist level directly above the left leg provided reliable and valid measures of walking steps taken during typical everyday activities. The pedometer worn on the right side of the body underestimated the number of steps taken. Further research on the influence of leg dominance, surface, shoe type, pedometer brand, and gait is needed.
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Baker, Graham. "Are pedometers effective motivational tools to increase walking in inactive adults." Thesis, University of Strathclyde, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488800.

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Ek, Kari E. "Physical Activity Promotion among School-Aged Children Using Pedometers and Rewards." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3085.

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Physical activity is important for children as many children are considered overweight or obese. The benefits of exercise have been demonstrated in empirical studies across all age ranges (Horne, Hardman, Lowe, & Rowlands, 2009; Kelly et al., 2004; Louie & Chan, 2003; Southard & Southard, 2006). In the current study, a multiple baseline design across participants was used to assess the effectiveness of goal setting, reinforcement contingencies, and pedometers that provide feedback to increase step count of 5 participants. During baseline each participant wore a sealed pedometer to assess the average steps the participants took per day. After baseline, each participant, researcher, and parent set a reasonable goal of steps to achieve per day in order to receive a specific reinforcer chosen by the parent and participant. A behavioral contract stated the specific goal number of steps for the day and the specific reinforcer they would receive. At the end of each day before the child went to bed, the parent recorded the number of steps and provided the child with feedback about whether reinforcement was earned. Data collection for four of the five participants showed a mean increase in steps taken per day during intervention 1 in comparison to baseline levels. Participants met their goal step counts during intervention 1 on 12%, 35%, 50%, 71% and 76% of days. All three participants that participated in intervention 2 increased their mean count from both baseline and intervention 1 levels. Participants met their goal step counts during intervention 2 on 62%, 100%, and 100% of days. Two participants participated in the follow up phase of the study; both participants maintained their goals from intervention 2 and completed their goal step count on 100% of days.
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Rejc, James M. "Increasing physical activity in insufficiently active individuals through goal setting and pedometer assessment." Virtual Press, 2007. http://liblink.bsu.edu/uhtbin/catkey/1372053.

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Lack of physical activity in America is a major issue contributing to an increase in the prevalence of overweight and obese individuals. Goal setting and pedometers can be used to increase physical activity in inactive individuals. The primary purpose of the study was to investigate if inactive individuals can increase their physical activity by 2,000steps/day for 12 weeks with the use of pedometers and goal setting and examine if these motivational tools can help inactive individuals adhere to a long term increase in physical activity. Secondary purposes were to assess any changes in body composition, and blood pressure upon completion of the physical activity intervention and at follow-up and to investigate changes in self efficacy scores throughout the study.Pedometer measured physical activity (steps) was assessed at baseline, weekly during the 12 week physical activity intervention, and at the 24 week follow up. For the 12 week intervention, participants were asked to increase their physical activity by 2,000 steps/day from their baseline physical activity assessment. At each time frame, body composition,blood pressure and self —efficacy measurements were obtained.Thirty eight subjects (10 men, 28 women) started the study with 19 subjects (5 men, 14 women) completing the 12 week physical activity intervention. Fifty percent of participants completed (i.e., were compliant) the present study. However, only 6 individuals were capable of attaining their step goal for 75% of the 12 week (i.e., 9 of 12 weeks) physical activity intervention. Mean steps/day significantly increased from baseline to 12 weeks in individuals participating in the study. Following the physical activity intervention to the 24 week follow-up, mean steps/day significantly decreased. Significant improvements were found in weight, body mass index (BMI), body fat percentage, and waist circumference from baseline to 12 weeks. A significant decrease was found from baseline to 24 weeks in the resisting relapse questions (i.e., questions 1-5) on the exercise self efficacy questionnaire.In conclusion, these results demonstrated that the majority of individuals in the present study were not capable of increasing their physical activity by 2,000 steps/day through the use of goal setting with a pedometer. Individuals who do increase their physical activity experience improvements in body composition measurements. Therefore, more motivational tools should be investigated to increase physical activity.
School of Physical Education, Sport, and Exercise Science
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Books on the topic "Pedometers"

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Fitbit: The complete guide to using Fitbit for weight loss and increased performance. North Charleston, South Carolina]: [Createspace], 2015.

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Fenton, Mark. Pedometer walking. Guilford, CT: Lyons Press, 2005.

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Pedometer Power: Using Pedometers in School and Community. 2nd ed. Human Kinetics Publishers, 2007.

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Collis, Dr Martin. Walking, Weight and Wellness: Your Pedometer Resource Guide. Trafford Publishing, 2006.

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Manpo-Kei: The Art and Science of Step Counting. Trafford Publishing, 2006.

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Hales, Dianne. Bundle : An Invitation to Health: Choosing to Change, Brief Edition , 7th + Pedometers. Brooks Cole, 2011.

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Parker, Philip M. The World Market for Revolution Counters, Production Counters, Taximeters, Odometers, and Pedometers: A 2007 Global Trade Perspective. ICON Group International, Inc., 2006.

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The World Market for Revolution Counters, Production Counters, Taximeters, Odometers, and Pedometers: A 2004 Global Trade Perspective. Icon Group International, Inc., 2005.

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Pangrazi, Robert P., Aaron Beighle, and Cara L. Sidman. Pedometer Power. Human Kinetics, 2013. http://dx.doi.org/10.5040/9781718210493.

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The World Market for Revolution Counters, Production Counters, Taximeters, Odometers, Pedometers, Speedometers, Tachometers, Stroboscopes, and Parts Thereof: A 2004 Global Trade Perspective. Icon Group International, Inc., 2005.

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Book chapters on the topic "Pedometers"

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Khakurel, Jayden, Susanna Tella, Birgit Penzenstadler, Helinä Melkas, and Jari Porras. "Living with Smartwatches and Pedometers: The Intergenerational Gap in Internal and External Contexts." In Smart Objects and Technologies for Social Good, 31–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76111-4_4.

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Khakurel, Jayden, Antti Knutas, Helinä Melkas, Birgit Penzenstadler, Bo Fu, and Jari Porras. "Categorization Framework for Usability Issues of Smartwatches and Pedometers for the Older Adults." In Universal Access in Human-Computer Interaction. Methods, Technologies, and Users, 91–106. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92049-8_7.

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Robinson, Leah E., E. Kipling Webster, Kara K. Palmer, and Catherine Persad. "Integrating Pedometers in Early Childhood Settings to Promote the Development of Positive Health Trajectories." In Physical Activity and Health Promotion in the Early Years, 131–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76006-3_8.

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Copelton, Denise A. "Output that Counts: Pedometers, Sociability and the Contested Terrain of Older Adult Fitness Walking." In Technogenarians, 127–41. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444391541.ch10.

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Baker, Julien S., Fergal Grace, Lon Kilgore, David J. Smith, Stephen R. Norris, Andrew W. Gardner, Robert Ringseis, et al. "Pedometer/Accelerometer." In Encyclopedia of Exercise Medicine in Health and Disease, 691. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-29807-6_2849.

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Juluru, Anudeep, Shriram K. Vasudevan, and T. S. Murugesh. "Wearable Pedometer Using ATtiny85." In Let's Get IoT-fied!, 461–78. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003147169-27.

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Augustynek, M., O. Adamec, and M. Cerny. "Pedometer with detection of Step." In IFMBE Proceedings, 1408–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29305-4_370.

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Huang, Bin, and Xinhui Wu. "Pedometer Algorithm Research Based-Matlab." In Advances in Intelligent and Soft Computing, 81–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30126-1_13.

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Kshirsagar, Ujwala, and Priti Shahane. "Low-Cost Health Monitoring Pedometer Using IoT." In IOT with Smart Systems, 169–78. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-3945-6_18.

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Chevez, Agustin. "Anatomy of a Pilgrimage." In The Pilgrim’s Guide to the Workplace, 17–19. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4759-9_5.

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AbstractMy GPS diligently tracked the 905 km that I walked between two of Australia’s major cities and a pedometer counted each and every humble but persistent act of putting one foot in front of another a total of 1,281,772 times.
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Conference papers on the topic "Pedometers"

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Widyastuti, Kiki, Dewi Nurul Makhabah, Ana Rima, Yusup Subagio Sutanto, Suradi Suradi, and Nicolino Ambrosino. "Home based pulmonary rehabilitation with pedometers in Indonesian COPD patients." In ERS International Congress 2017 abstracts. European Respiratory Society, 2017. http://dx.doi.org/10.1183/1393003.congress-2017.pa777.

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Khakurel, Jayden, Antti Knutas, Mika Immonen, and Jari Porras. "Intended use of smartwatches and pedometers in the university environment." In UbiComp '17: The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3123024.3123147.

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Quon, Bradley S., Donald L. Patrick, Todd C. Edwards, Moira L. Aitken, Ronald L. Gibson, Alan Genatossio, Sharon McNamara, and Christopher H. Goss. "Monitoring Habitual Physical Activity In Cystic Fibrosis Patients Using Pedometers." In American Thoracic Society 2011 International Conference, May 13-18, 2011 • Denver Colorado. American Thoracic Society, 2011. http://dx.doi.org/10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a1121.

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Nolan, Claire M., Matthew Maddocks, Jane L. Canavan, Sarah E. Jones, Samantha S. C. Kon, Djeya Kaliaraju, Michael I. Polkey, and William D. C. Man. "Do pedometers maintain the benefits of pulmonary rehabilitation in COPD patients?" In ERS International Congress 2016 abstracts. European Respiratory Society, 2016. http://dx.doi.org/10.1183/13993003.congress-2016.pa2058.

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Azzeh, Sara, Omar Alhussain, and Sara Abu Samra. "A Mathematical Model to Decrease Obesity in the UAE." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-65871.

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Obesity is becoming a major problem all over the world, and it is severely affecting the United Arab Emirates (UAE). This inspired us to create a mathematical model that allows predicting the weight, as a function of time, based on two factors: diet and exercise. An early model dealing with diet only was used as a starting point, and then the exercise component was added based on an experiment we have performed where a group of students, wearing pedometers, have walked on a treadmill for thirty minutes in an average temperature between 20 to 25 degrees Celsius, with fixed speed. Data was collected and used to calculate the relation between weight and the energy burned, then Mathematica® was used to find how many days a person needs in order to reach his ideal weight calculated based on the Body Mass Index (BMI). Finally, we analyze the model, show that it is realistic with identified limitations, and we present future perspectives.
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Stavropoulos, Thanos G., Stelios Andreadis, Lampros Mpaltadoros, Spiros Nikolopoulos, and Ioannis Kompatsiaris. "Wearable Sensors and Smartphone Apps as Pedometers in eHealth: a Comparative Accuracy, Reliability and User Evaluation." In 2020 IEEE International Conference on Human-Machine Systems (ICHMS). IEEE, 2020. http://dx.doi.org/10.1109/ichms49158.2020.9209441.

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Armstrong, M., A. Winnard, N. Chynkiamis, S. Boyle, C. Burtin, and I. Vogiatzis. "P29 Use of pedometers as a tool to promote daily physical activity levels in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis." In British Thoracic Society Winter Meeting 2019, QEII Centre, Broad Sanctuary, Westminster, London SW1P 3EE, 4 to 6 December 2019, Programme and Abstracts. BMJ Publishing Group Ltd and British Thoracic Society, 2019. http://dx.doi.org/10.1136/thorax-2019-btsabstracts2019.172.

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Hori, Yukari, Yutaka Tokuda, Takahiro Miura, Atsushi Hiyama, and Michitaka Hirose. "Communication pedometer." In the 4th Augmented Human International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2459236.2459272.

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Liu, Dawei, Qi Shan, and Dan Wu. "Toward a visual pedometer." In the 27th Annual ACM Symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2245276.2245473.

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Yanxin, Wei, Fan Xiujuan, and Yang Dongchen. "Algorithm Design of Wearable Pedometer." In 2017 International Conference on Computer Systems, Electronics and Control (ICCSEC). IEEE, 2017. http://dx.doi.org/10.1109/iccsec.2017.8447046.

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Reports on the topic "Pedometers"

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Brown, Ernest. Reliability and Validity of Pedometers in a Free-living Environment. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6746.

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Evans, Jon, Ian Porter, Emma Cockcroft, Al-Amin Kassam, and Jose Valderas. Collecting linked patient reported and technology reported outcome measures for informing clinical decision making: a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0038.

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Review question / Objective: We aim to map out the existing research where concomitant use of patient reported and technology reported outcome measures is used for patients with musculoskeletal conditions. Condition being studied: Musculoskeletal disorders (MSD) covering injuries or disorders of the muscles, nerves, tendons, joints, cartilage, and spinal discs. Musculoskeletal manifestations of joint pathology. Eligibility criteria: 1) Peer-reviewed primary studies and literature reviews. Grey literature not included. 2) Studies which include co-administration of Patient-Reported Outcomes (PROMs) AND wearable electronic devices (e.g. fitness trackers, accelerometers, gyroscopes, pedometers smartphones, smartwatches) in musculoskeletal manifestations of joint pathology. Studies are EXCLUDED which feature wearable electronic devices but not concomitant/real time capturing of PROMs (e.g. they are recorded retrospectively/ at different timepoints). 3) Studies in languages other than English will be excluded unless a translation is available.
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Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel, and Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepctb38.

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Background. Automated-entry consumer devices that collect and transmit patient-generated health data (PGHD) are being evaluated as potential tools to aid in the management of chronic diseases. The need exists to evaluate the evidence regarding consumer PGHD technologies, particularly for devices that have not gone through Food and Drug Administration evaluation. Purpose. To summarize the research related to automated-entry consumer health technologies that provide PGHD for the prevention or management of 11 chronic diseases. Methods. The project scope was determined through discussions with Key Informants. We searched MEDLINE and EMBASE (via EMBASE.com), In-Process MEDLINE and PubMed unique content (via PubMed.gov), and the Cochrane Database of Systematic Reviews for systematic reviews or controlled trials. We also searched ClinicalTrials.gov for ongoing studies. We assessed risk of bias and extracted data on health outcomes, surrogate outcomes, usability, sustainability, cost-effectiveness outcomes (quantifying the tradeoffs between health effects and cost), process outcomes, and other characteristics related to PGHD technologies. For isolated effects on health outcomes, we classified the results in one of four categories: (1) likely no effect, (2) unclear, (3) possible positive effect, or (4) likely positive effect. When we categorized the data as “unclear” based solely on health outcomes, we then examined and classified surrogate outcomes for that particular clinical condition. Findings. We identified 114 unique studies that met inclusion criteria. The largest number of studies addressed patients with hypertension (51 studies) and obesity (43 studies). Eighty-four trials used a single PGHD device, 23 used 2 PGHD devices, and the other 7 used 3 or more PGHD devices. Pedometers, blood pressure (BP) monitors, and scales were commonly used in the same studies. Overall, we found a “possible positive effect” of PGHD interventions on health outcomes for coronary artery disease, heart failure, and asthma. For obesity, we rated the health outcomes as unclear, and the surrogate outcomes (body mass index/weight) as likely no effect. For hypertension, we rated the health outcomes as unclear, and the surrogate outcomes (systolic BP/diastolic BP) as possible positive effect. For cardiac arrhythmias or conduction abnormalities we rated the health outcomes as unclear and the surrogate outcome (time to arrhythmia detection) as likely positive effect. The findings were “unclear” regarding PGHD interventions for diabetes prevention, sleep apnea, stroke, Parkinson’s disease, and chronic obstructive pulmonary disease. Most studies did not report harms related to PGHD interventions; the relatively few harms reported were minor and transient, with event rates usually comparable to harms in the control groups. Few studies reported cost-effectiveness analyses, and only for PGHD interventions for hypertension, coronary artery disease, and chronic obstructive pulmonary disease; the findings were variable across different chronic conditions and devices. Patient adherence to PGHD interventions was highly variable across studies, but patient acceptance/satisfaction and usability was generally fair to good. However, device engineers independently evaluated consumer wearable and handheld BP monitors and considered the user experience to be poor, while their assessment of smartphone-based electrocardiogram monitors found the user experience to be good. Student volunteers involved in device usability testing of the Weight Watchers Online app found it well-designed and relatively easy to use. Implications. Multiple randomized controlled trials (RCTs) have evaluated some PGHD technologies (e.g., pedometers, scales, BP monitors), particularly for obesity and hypertension, but health outcomes were generally underreported. We found evidence suggesting a possible positive effect of PGHD interventions on health outcomes for four chronic conditions. Lack of reporting of health outcomes and insufficient statistical power to assess these outcomes were the main reasons for “unclear” ratings. The majority of studies on PGHD technologies still focus on non-health-related outcomes. Future RCTs should focus on measurement of health outcomes. Furthermore, future RCTs should be designed to isolate the effect of the PGHD intervention from other components in a multicomponent intervention.
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Bondi, Kenneth R., James H. Dougherty, and Jr. Physical Activity Aboard Nuclear Submarines as Measured by Pedometry. Fort Belvoir, VA: Defense Technical Information Center, May 1985. http://dx.doi.org/10.21236/ada159231.

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Siercke, Maj, Sanne Pagh Moller, Lau Caspar Thygesen, Henrik Sillesen, and Dorthe Overgaard. Improving Rehabilitation for Patients with Intermittent Claudication: A Randomized Controlled Trial with a Mixed-Methods Evaluation (The CIPIC Rehab Study). Science Repository, October 2021. http://dx.doi.org/10.31487/j.jicoa.2021.04.01.sup.

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Aim: This study aimed to explore how qualitative data about rehabilitation for patients with intermittent claudication do provide an enhanced understanding of the quantitative experimental results. Background: The study was a randomized clinical trial comparing a rehabilitation intervention with usual care. A statistically significant difference between rehabilitation and usual care was found in walking distance, physical activity, quality of life and diet. The findings from the quantitative and qualitative analyses were analysed separately on their own tradition. In this study, mixed methods address whether the qualitative results could help explain the quantitative results and bring forward additional information. Design: Complex mixed-method intervention design with a convergent questionnaire variant. Methods: From April 2017- May 2019, patients diagnosed with intermittent claudication were included in a randomized clinical trial (N=118). In addition, qualitative interview informants from the intervention group were sampled from the quantitative study population for a survey (N=43) and focus group interviews (N=10). Interviews were conducted from April 2018-August 2019. Results: Integrated analyses identified how improvement in walking distance, physical activity, diet and quality of life was affected by team spirit, pedometer, education and fun exercise in a local setting. Quantitative and qualitative findings primarily confirmed and expanded each other; however, two discordant results were also evident. Conclusion: Our study adds empirical evidence regarding how a mixed-methods study can be used to obtain a more nuanced understanding of complex healthcare problems. The study provides new knowledge concerning how to set up a rehabilitation programme for patients with intermittent claudication.
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People maintain increases in physical activity three years after receiving pedometers. National Institute for Health Research, May 2018. http://dx.doi.org/10.3310/signal-00594.

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Pedometers can help people get more active as part of an exercise programme. National Institute for Health Research, February 2020. http://dx.doi.org/10.3310/signal-000880.

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Patients receiving pedometers by post increased their physical activity for at least 12 months. National Institute for Health Research, March 2017. http://dx.doi.org/10.3310/signal-000401.

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