Pedometer-based Physical Activity Research Articles

Pedometer- and accelerometer- based physical activity interventions in Type 2 diabetes: A systematic review and meta-analysis

AimsAlthough accelerometer- and pedometer-based physical activity (PA) interventions can increase PA, there is no solid evidence for their benefits in patients with type 2 diabetes (T2DM). The aim of this systematic review and meta-analysis of randomized controlled clinical trials (RCTs) was to determine the effects of accelerometer- and pedometer-based PA interventions on hemoglobin A1c (HbA1c), fasting glucose, weight, BMI, blood pressure, lipids, and PA in adults with T2DM. Data synthesisRecords from MEDLINE/PubMed, EMBASE, LILACS, and Scopus were searched from inception through March 28th, 2022. RCTs of at least two weeks of duration evaluated the effectiveness of pedometers or accelerometers as motivating tools for increasing PA in T2DM patients. This study was registered with PROSPERO and followed the PRISMA reporting guide. Of the 7131 non-duplicated articles retrieved, 24 RCTs (1969 patients) were included. The mean baseline HbA1c of the experimental group of included studies varied from 6.3 ± 0.9 % to 9.0 ± 0.01 %. The accelerometer- and pedometer-based PA interventions resulted in a greater improvement in HbA1c (−0.22 %; 95%CI, −0.4 % to −0.05 %; I2 = 77 %) and triglycerides (−13.11 mg/dL; 95%CI, −25.21 to −1.02; I2 = 22 %) versus control participants. Pedometer ambulatory use as a motivating tool significantly increased PA by 2,131 steps/day (95 % CI, 1,348 to 2,914; I2 = 74 %) in T2DM patients. ConclusionsPedometers and accelerometers are associated with reductions in HbA1c and triglycerides when used as motivating tools. Larger and higher-quality studies are required to determine the full effects of PA as motivated by trackers in T2DM population.

The Effect of a web-based physical activity intervention on COPD knowledge: A secondary cohort study

BackgroundNovel strategies to complement current methods of education delivery by healthcare providers in clinic encounters or in pulmonary rehabilitation are needed to promote COPD self-management. MethodsWe developed a COPD web-based platform that delivers education as part of a physical activity intervention. We examined COPD knowledge in persons with COPD who used a web-mediated, pedometer-based physical activity intervention. Knowledge was assessed with the Bristol COPD Knowledge Questionnaire (BCKQ) at baseline, 3, 6, 9, and 12 months. Scores range from 0 to 100, with higher scores indicating greater knowledge. Repeated measures ANOVA (PROC MIXED, SAS 9.4) examined trends across the 12 months and identified changes from baseline at 3, 6, 9, and 12 months. ResultsWe enrolled 72 participants with COPD, 93% males with mean ± sd age of 69 ± 7 years and FEV1% predicted of 60 ± 23%. There was a significant increase from baseline to 9 months (p = 0.012), although this increase did not persist at 12 months. Among the 13 topics, participants scored the highest at baseline on smoking knowledge (65.3 ± 17.4) and the lowest on inhaled steroids (9.7 ± 15.4). Across the 12 months, there were significant increases in knowledge about inhaled bronchodilators (p = 0.011) and inhaled steroids (p = 0.035). At 12 months, there were significant improvements in knowledge about exercise (p = 0.004), vaccination (p = 0.027), inhaled bronchodilators (p = 0.002), and inhaled steroids (p = 0.002). ConclusionAn internet-mediated intervention may provide another option for COPD education delivery and support for disease self-management.

Associations between objectively-measured and self-reported neighbourhood walkability on adherence and steps during an internet-delivered pedometer intervention.

Accumulating evidence suggests that the built environment is associated with physical activity. The extent to which the built environment may support adherence to physical activity interventions is unclear. The aim of this study was to investigate whether the neighbourhood built environment constrains or facilitates adherence and steps taken during a 12-week internet-delivered pedometer-based physical activity intervention (UWALK). The study was undertaken in Calgary (Canada) between May 2016 and August 2017. Inactive adults (n = 573) completed a telephone survey measuring sociodemographic characteristics and perceived neighbourhood walkability. Following the survey, participants were mailed a pedometer and instructions for joining UWALK. Participants were asked to report their daily pedometer steps into the online program on a weekly basis for 12 weeks (84 days). Walk Score® estimated objective neighbourhood walkability and the Neighbourhood Environment Walkability Scale-Abbreviated (NEWS-A) measured participants self-reported neighbourhood walkability. Regression models estimated covariate-adjusted associations of objective and self-reported walkability with: 1) adherence to the UWALK intervention (count of days with steps reported and count of days with 10000 steps reported), and; 2) average daily pedometer steps. On average, participants undertook 8565 (SD = 3030) steps per day, reported steps on 67 (SD = 22.3) of the 84 days, and achieved ≥10000 steps on 22 (SD = 20.5) of the 84 days. Adjusting for covariates, a one-unit increase in self-reported walkability was associated on average with 45.76 (95CI 14.91, 76.61) more daily pedometer steps. Walk Score® was not significantly associated with steps. Neither objective nor self-reported walkability were significantly associated with the UWALK adherence outcomes. The neighbourhood built environment may support pedometer-measured physical activity but may not influence adherence to pedometer interventions. Perceived walkability may be more important than objectively-measured walkability in supporting physical activity during pedometer interventions.

Long-Term Effects of Pedometer-Based Physical Activity Coaching in Severe COPD: A Randomized Controlled Trial.

Background and ObjectiveLimited evidence on long-term effects of physical activity programs in COPD is available. The aim of the study was to investigate the effects of a three-month program combining physical activity counselling and pedometer-based feedback in addition to usual care, followed by a nine-month unsupervised observation period as compared to usual care in participants with severe to very severe COPD.MethodsParticipants were randomized to either a control group receiving usual care or an intervention group receiving motivational support, an activity diary with an individual step count goal (ie, an increase of ≥15% from baseline) and a pedometer in addition to usual care. The intervention ended after three months and an unsupervised observational period followed until twelve months. Primary outcome was daily step count after one year.ResultsSeventy-four participants were included, 61 (82%) completed the study. Linear regression modelling, adjusted for baseline step count, showed no significant difference in change in step count after 12 months between the groups (Β = 547.33, 95% CI = −243.55/1338.20).ConclusionA three-month program combining physical activity counselling and pedometer-based feedback in addition to usual care does not attenuate the declining course of physical activity in participants with severe and very severe COPD during a long term follow-up of one year as compared to usual care. This result was primarily determined by the low intervention response rates to the combined program.Clinical Trial Registrationwww.ClinicalTrials.gov, NCT03114241.

Age and Attitudes Towards an Internet-Mediated, Pedometer-Based Physical Activity Intervention for Chronic Obstructive Pulmonary Disease: Secondary Analysis.

BackgroundChronic obstructive pulmonary disease (COPD) is prevalent among older adults. Promoting physical activity and increasing exercise capacity are recommended for all individuals with COPD. Pulmonary rehabilitation is the standard of care to improve exercise capacity, although there are barriers that hinder accessibility. Technology has the potential to overcome some of these barriers, but it is unclear how aging adults with a chronic disease like COPD perceive technology-based platforms to support their disease self-management.ObjectiveGuided by the unified theory of acceptance and use of technology, the current retrospective secondary analysis explores if age moderates multiple factors that influence an individual with COPD’s openness toward an internet-mediated, pedometer-based physical activity intervention.MethodsAs part of an efficacy study, participants with COPD (N=59) were randomly assigned to use an internet-mediated, pedometer-based physical activity intervention for 12 weeks. At completion, they were asked about their experience with the intervention using a survey, including their performance expectancy and effort expectancy, facilitating conditions (ie, internet use frequency and ability), and use of the intervention technology. Logistic regression and general linear modeling examined the associations between age and these factors.ResultsParticipants ranged in age from 49 to 89 years (mean 68.66, SD 8.93). Disease severity was measured by forced expiratory volume in the first second percent predicted (mean 60.01, SD 20.86). Nearly all participants (54/59) believed the intervention was useful. Regarding effort expectancy, increasing age was associated with reporting that it was easy to find the time to engage in the intervention. Regarding facilitating conditions, approximately half of the participants believed the automated step count goals were too high (23/59) and many did not feel comfortable reaching their goals (22/59). The probability of these perceptions increased with age, even after accounting for disease severity. Age was not associated with other facilitating conditions or use of the technology.ConclusionsAge does not influence performance expectancy or use of technology with an internet-mediated, pedometer-based physical activity intervention. Age is associated with certain expectations of effort and facilitating conditions. Consideration of age of the user is needed when personalizing step count goals and time needed to log in to the website.Trial RegistrationClinicalTrials.gov NCT01772082; https://clinicaltrials.gov/ct2/show/NCT01772082

Evaluation of a very brief pedometer-based physical activity intervention delivered in NHS Health Checks in England: The VBI randomised controlled trial.

The majority of people do not achieve recommended levels of physical activity. There is a need for effective, scalable interventions to promote activity. Self-monitoring by pedometer is a potentially suitable strategy. We assessed the effectiveness and cost-effectiveness of a very brief (5-minute) pedometer-based intervention ('Step It Up') delivered as part of National Health Service (NHS) Health Checks in primary care. The Very Brief Intervention (VBI) Trial was a two parallel-group, randomised controlled trial (RCT) with 3-month follow-up, conducted in 23 primary care practices in the East of England. Participants were 1,007 healthy adults aged 40 to 74 years eligible for an NHS Health Check. They were randomly allocated (1:1) using a web-based tool between October 1, 2014, and December 31, 2015, to either intervention (505) or control group (502), stratified by primary care practice. Participants were aware of study group allocation. Control participants received the NHS Health Check only. Intervention participants additionally received Step It Up: a 5-minute face-to-face discussion, written materials, pedometer, and step chart. The primary outcome was accelerometer-based physical activity volume at 3-month follow-up adjusted for sex, 5-year age group, and general practice. Secondary outcomes included time spent in different intensities of physical activity, self-reported physical activity, and economic measures. We conducted an in-depth fidelity assessment on a subsample of Health Check consultations. Participants' mean age was 56 years, two-thirds were female, they were predominantly white, and two-thirds were in paid employment. The primary outcome was available in 859 (85.3%) participants. There was no significant between-group difference in activity volume at 3 months (adjusted intervention effect 8.8 counts per minute [cpm]; 95% CI -18.7 to 36.3; p = 0.53). We found no significant between-group differences in the secondary outcomes of step counts per day, time spent in moderate or vigorous activity, time spent in vigorous activity, and time spent in moderate-intensity activity (accelerometer-derived variables); as well as in total physical activity, home-based activity, work-based activity, leisure-based activity, commuting physical activity, and screen or TV time (self-reported physical activity variables). Of the 505 intervention participants, 491 (97%) received the Step it Up intervention. Analysis of 37 intervention consultations showed that 60% of Step it Up components were delivered faithfully. The intervention cost £18.04 per participant. Incremental cost to the NHS per 1,000-step increase per day was £96 and to society was £239. Adverse events were reported by 5 intervention participants (of which 2 were serious) and 5 control participants (of which 2 were serious). The study's limitations include a participation rate of 16% and low return of audiotapes by practices for fidelity assessment. In this large well-conducted trial, we found no evidence of effect of a plausible very brief pedometer intervention embedded in NHS Health Checks on objectively measured activity at 3-month follow-up. Current Controlled Trials (ISRCTN72691150).

Long-term effects of web-based pedometer-mediated intervention on COPD exacerbations.

Technology-based physical activity (PA) interventions have been shown to improve daily step counts and health-related quality of life, but their effect on long-term clinical outcomes like acute exacerbations (AEs) is unknown in persons with COPD. U.S. Veterans with stable COPD were randomized (1:1) to either pedometer alone (control) or pedometer plus a website with feedback, goal-setting, disease education, and a community forum (intervention) for 3 months. AEs were assessed every 3 months over a follow-up period of approximately 15 months. Pedometer-assessed daily step counts, health-related quality-of-life (HRQL), and self-efficacy were assessed at baseline, end-of-intervention at 3 months, and during follow-up approximately 6 and 12 months after enrollment. Zero-inflated Poisson models assessed the effect of the intervention on risk for AEs, compared to controls. Generalized linear mixed-effects models for repeated measures examined between-group and within-group changes in daily step count, HRQL, and self-efficacy. There were no significant differences in age, FEV1% predicted, baseline daily step count, AEs the year prior to enrollment, or duration of follow-up between the intervention (n=57) and control (n=52) groups. The intervention group had a significantly reduced risk of AEs (rate ratio=0.51, [95%CI 0.31-0.85]), compared to the control group. There were no significant between-group differences in change in average daily step count, HRQL, or self-efficacy at 6 and 12 months after enrollment. A 3-month internet-mediated, pedometer-based PA intervention was associated with reduced risk for AEs of COPD over 12-15 months of follow-up. ClinicalTrials.gov identifier: NCT01772082.

The association between physical activity and a composite measure of sleep health.

Physical activity has been associated with several individual dimensions of sleep. However, the association between physical activity and sleep health, a construct that emphasizes the multidimensional nature of sleep, has not been explored. This analysis examined the relationship between physical activity and a composite measure of sleep health. A total of 114 adults (66% female, 60.3 ± 9.2years) were included in the analyses. Participants reported daily light-intensity physical activity (LPA) and moderate- and vigorous-intensity physical activity (MVPA) via diary, while wearing a pedometer (Omron HJ-720ITC) to measure daily steps. Sleep health was measured using the RU_SATED questionnaire, which addresses regularity of sleep patterns, satisfaction with sleep, daytime alertness, and sleep timing, efficiency, and duration. Multiple linear regression, binary logistic regression, and analysis of covariance (ANCOVA) were utilized for analyses. Mean sleep health score was 9.6 ± 2.4 (0 [poor]-12 [good]). Participants reported 62.9 ± 66.0 and 51.2 ± 51.2min/day of LPA and MVPA, respectively, and took 5585.5 ± 2806.7 steps/day. Greater MVPA was associated with better sleep health (β = 0.27, P = 0.005) and sleep health scores differed between those reporting < 30min/day and ≥ 60min/day of MVPA (P = 0.004). Greater MVPA was associated with higher odds of having good sleep satisfaction (OR = 1.58 [1.14-2.20], P < 0.01), timing (OR = 2.07 [1.24-3.46], P < 0.01), and duration (OR = 1.48 [1.02-2.18], P = 0.04). Pedometer-based physical activity and LPA were not related to sleep health or its individual dimensions. In middle- to older-aged adults, higher-intensity activity, but not lower-intensity or volume of activity, was associated with greater sleep health. These data suggest that physical activity intensity may be important for sleep health.

Accelerometer- and Pedometer-Based Physical Activity Interventions Among Adults With Cardiometabolic Conditions

Accelerometers and pedometers are accessible technologies that could have a role in encouraging physical activity (PA) in line with current recommendations. However, there is no solid evidence of their association with PA in participants with 1 or more cardiometabolic conditions such as diabetes, prediabetes, obesity, and cardiovascular disease. To assess the association of accelerometer- and pedometer-based interventions with increased activity and other improved health outcomes in adults with cardiometabolic conditions and to examine characteristics of the studies that could influence the association of both interventions in improving PA. Records from MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, the Cumulative Index to Nursing and Allied Health, and PsycINFO were searched from inception until August 2018 with no language restriction. Randomized clinical trials or cluster randomized clinical trials evaluating the use of wearable technology devices such as pedometers and accelerometers as motivating and monitoring tools for increasing PA were included. After removing duplicates, the searches retrieved 5762 references. Following abstract and title screening of 1439 references and full-text screening of 107 studies, 36 studies met inclusion criteria. Mean difference in PA was assessed by random-effects meta-analysis. Where the scale was different across studies, the standardized mean difference was used instead. Heterogeneity was quantified using the I2 statistic and explored using mixed-effects metaregression. This study was registered with PROSPERO and followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. The primary outcome was objectively measured PA in the short to medium term (postintervention to 8 months' follow-up). Thirty-six randomized clinical trials (20 using accelerometers and 16 using pedometers) involving 5208 participants were eligible for review. Meta-analysis involving 32 of these trials (4856 participants) showed medium improvements in PA: accelerometers and pedometers combined vs comparator showed a small significant increase in PA overall (standardized mean difference, 0.39 [95% CI, 0.28-0.51]; I2 = 60% [95% CI, 41%-73%]) in studies of short to medium follow-up over a mean (SD) of 32 (28.6) weeks. Multivariable metaregression showed improved association with PA for complex interventions that involved face-to-face consultation sessions with facilitators (β = 0.36; 95% CI, 0.17-0.55; P < .001) and pedometer-based interventions (β = 0.30; 95% CI, 0.08-0.52; P = .002). In this study, complex accelerometer- and pedometer-based interventions led to significant small to medium improvements in PA levels of people with cardiometabolic conditions. However, longer-term trials are needed to assess their performance over time. This study found no evidence that simple self-monitored interventions using either pedometers or accelerometers are associated with improvements in PA.

A qualitative exploration of the experiences of primary care patients engaged in email counseling meant to increase physical activity

Background: As insufficient physical activity is a widespread public health problem, the patients' perspective and experiences during their efforts to increase levels of physical activity need to be explored and elucidated. Objectives: The purpose of our study was to qualitatively analyze the patient-written email messages in order to explore patients' experiences during a 12-week pedometer-based physical activity intervention in a primary care setting that was paired with email counseling. Methods: The content of 31 email messages from 10 participants was extracted, coded, and analyzed using thematic analysis. Results: We identified 22 themes that were grouped into 3 categories: reflections on the pedometer-based intervention, use of behavior change techniques, and barriers that affected participants' engagement in physical activity. We have also anecdotally described several interesting aspects of behavior change techniques: negative attitudes elicited by the goal setting process, learning from their own data, and enjoyment associated with self-monitoring. Conclusion: Qualitatively analyzing email messages written as part of the physical activity counseling process is useful in documenting patients' perceptions and use of different behavior change techniques and their reported barriers that get in the way of increasing their physical activity.

Optimizing Cardiac Rehabilitation.

Main findingsBy the end of standard cardiac rehabilitation, patients still spent little time in physical activity and a long time sedentaryAdditional pedometer-based behavioural group interventions added to standard cardiac rehabilitation increase physical activity.A behavioural after-care programme delivered by phone was not successful.Cardiac rehabilitation programmes should focus on severe fatigue and dissatisfaction with participation in society.Patients already achieve cardiovascular health targets (bloodpressure, lipid profile) after standard cardiac rehabilitation without after-care.

Effects of an unsupervised pedometer-based physical activity program on daily steps of adults with moderate to severe asthma: a randomized controlled trial

ABSTRACTSupervised exercise has shown benefits for subjects with asthma, but little is known about the effectiveness of unsupervised physical activity on this population. We investigated the effects of a 12-week unsupervised pedometer-based physical activity program on daily steps and on clinical and psychological parameters of adults with asthma. Clinically stable adults with moderate to severe asthma were encouraged to take daily 30-minute walks and were randomized to pedometer and control groups. The pedometer group received pedometers and individualized daily step targets. Changes in daily steps (average of steps taken during six consecutive days), six-minute walk test (6MWT), health-related quality of life, asthma control and anxiety and depression levels were assessed 12 weeks after intervention and 24–28 weeks after randomization. Thirty-seven participants were recruited and 30 completed the intervention. At 12 weeks, the groups differed significantly in daily steps (adjusted average difference, 2488 steps; 95% confidence interval [CI], 803 to 4172; p = 0.005) and in the 6MWT (adjusted average difference, 21.9 m; 95% CI, 6.6 to 37.3; p = 0.006). These differences were not significant 24–28 weeks after randomization. The program was effective in increasing daily steps of adults with moderate to severe asthma 12 weeks after intervention.

Relationship Between Pedometer-Based Physical Activity and Physical Function in Patients With Osteoarthritis of the Knee: A Cross-Sectional Study

ObjectiveTo examine the association between pedometer-based ambulatory physical activity (PA) and physical function in patients with knee osteoarthritis (OA). DesignCross-sectional observational study. SettingInstitutional practice. ParticipantsParticipants in orthopedic clinics (N=207; age, 56–90y; 71.5% women) with diagnosed radiographic knee OA (Kellgren/Lawrence [K/L] grade ≥1). InterventionsNot applicable. Main Outcome MeasuresAmbulatory PA was objectively measured as steps per day. Physical function was assessed using the Japanese Knee Osteoarthritis Measure (JKOM) functional subcategory, 10-m walk, Timed Up and Go (TUG), and 5-repetition chair stand (5CS) tests. ResultsPatients walking <2500 steps/d had a low level of physical function with a slower gait speed, longer TUG time, and worse JKOM functional score compared with those who walk 2500 to 4999, 5000 to 7499, and ≥7500 steps/d adjusted for age, sex, body mass index [BMI], and K/L grade. Ordinal logistic regression analysis revealed that steps per day (continuous) was associated with better physical function adjusted for age, sex, BMI, and K/L grade. These relationships were still robust in sensitivity analyses that included patients with K/L grades ≥2 (n=140). ConclusionsAlthough increased ambulatory PA had a positive relationship with better physical function, walking <2500 steps/d may be a simple indicator for a decrease in physical function in patients with knee OA among standard PA categories. Our findings might be a basis for counseling patients with knee OA about their ambulatory PA and for developing better strategies for improving physical function in sedentary patients with knee OA.

Using Pedometers to Increase the Non-Workday Steps of Hospital Nursing and Support Staff: A Pilot Study.

Nursing is a physically active profession; however, nurses and nursing support staff may limit their physical activity (PA) on non-workdays. The purpose of this pilot study was to examine the effects of a 12-week pedometer-based PA intervention on daily steps of hospital nursing and support staff from two departments, emergency (ED) and oncology (ONC). The 12-week minimal-contact, self-managed intervention was designed to increase total and non-workday PA. Twenty participants with an average age of 47.6 ± 7.1 years completed the intervention. Significant differences were found between total daily steps at baseline (8,446) and at 12 weeks (10,655; p = .014), and between workday steps at baseline (10,398) and at 12 weeks (13,056; p = 0.005). Oncology unit participants significantly increased their non-workday steps from baseline (5,850) to 12 weeks (9,829; p = .003). As part of a comprehensive intervention, pedometers can promote total and non-workday PA of nursing and support staff.

Effects of Charitable Versus Monetary Incentives on the Acceptance of and Adherence to a Pedometer-Based Health Intervention: Study Protocol and Baseline Characteristics of a Cluster-Randomized Controlled Trial.

BackgroundResearch has so far benefited from the use of pedometers in physical activity interventions. However, when public health institutions (eg, insurance companies) implement pedometer-based interventions in practice, people may refrain from participating due to privacy concerns. This might greatly limit the applicability of such interventions. Financial incentives have been successfully used to influence both health behavior and privacy concerns, and may thus have a beneficial effect on the acceptance of pedometer-based interventions.ObjectiveThis paper presents the design and baseline characteristics of a cluster-randomized controlled trial that seeks to examine the effect of financial incentives on the acceptance of and adherence to a pedometer-based physical activity intervention offered by a health insurance company.MethodsMore than 18,000 customers of a large Swiss health insurance company were allocated to a financial incentive, a charitable incentive, or a control group and invited to participate in a health prevention program. Participants used a pedometer to track their daily physical activity over the course of 6 months. A Web-based questionnaire was administered at the beginning and at the end of the intervention and additional data was provided by the insurance company. The primary outcome of the study will be the participation rate, secondary outcomes will be adherence to the prevention program, physical activity, and health status of the participants among others.ResultsBaseline characteristics indicate that residence of participants, baseline physical activity, and subjective health should be used as covariates in the statistical analysis of the secondary outcomes of the study.ConclusionsThis is the first study in western cultures testing the effectiveness of financial incentives with regard to a pedometer-based health intervention offered by a large health insurer to their customers. Given that the incentives prove to be effective, this study provides the basis for powerful health prevention programs of public health institutions that are easy to implement and can reach large numbers of people in need.

Long-Term Effects of an Internet-Mediated Pedometer-Based Walking Program for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial.

BackgroundRegular physical activity (PA) is recommended for persons with chronic obstructive pulmonary disease (COPD). Interventions that promote PA and sustain long-term adherence to PA are needed.ObjectiveWe examined the effects of an Internet-mediated, pedometer-based walking intervention, called Taking Healthy Steps, at 12 months.MethodsVeterans with COPD (N=239) were randomized in a 2:1 ratio to the intervention or wait-list control. During the first 4 months, participants in the intervention group were instructed to wear the pedometer every day, upload daily step counts at least once a week, and were provided access to a website with four key components: individualized goal setting, iterative feedback, educational and motivational content, and an online community forum. The subsequent 8-month maintenance phase was the same except that participants no longer received new educational content. Participants randomized to the wait-list control group were instructed to wear the pedometer, but they did not receive step-count goals or instructions to increase PA. The primary outcome was health-related quality of life (HRQL) assessed by the St George’s Respiratory Questionnaire Total Score (SGRQ-TS); the secondary outcome was daily step count. Linear mixed-effect models assessed the effect of intervention over time. One participant was excluded from the analysis because he was an outlier. Within the intervention group, we assessed pedometer adherence and website engagement by examining percent of days with valid step-count data, number of log-ins to the website each month, use of the online community forum, and responses to a structured survey.ResultsParticipants were 93.7% male (223/238) with a mean age of 67 (SD 9) years. At 12 months, there were no significant between-group differences in SGRQ-TS or daily step count. Between-group difference in daily step count was maximal and statistically significant at month 4 (P<.001), but approached zero in months 8-12. Within the intervention group, mean 76.7% (SD 29.5) of 366 days had valid step-count data, which decreased over the months of study (P<.001). Mean number of log-ins to the website each month also significantly decreased over the months of study (P<.001). The online community forum was used at least once during the study by 83.8% (129/154) of participants. Responses to questions assessing participants’ goal commitment and intervention engagement were not significantly different at 12 months compared to 4 months.ConclusionsAn Internet-mediated, pedometer-based PA intervention, although efficacious at 4 months, does not maintain improvements in HRQL and daily step counts at 12 months. Waning pedometer adherence and website engagement by the intervention group were observed. Future efforts should focus on improving features of PA interventions to promote long-term behavior change and sustain engagement in PA.ClinicalTrialClinicaltrials.gov NCT01102777; https://clinicaltrials.gov/ct2/show/NCT01102777 (Archived by WebCite at http://www.webcitation.org/6iyNP9KUC)

Health coaching and pedometers to enhance physical activity and prevent falls in community-dwelling people aged 60 years and over: study protocol for the Coaching for Healthy AGEing (CHAnGE) cluster randomised controlled trial

IntroductionPrevention of falls and promotion of physical activity are essential for maximising well-being in older age. However, there is evidence that promoting physical activity among older people without providing fall...

“To Feel Better”

Physical inactivity has been identified as a leading cause of morbidity and mortality. Worksites provide an ideal environment for physical activity (PA) interventions so understanding motives for physical activity participation of inactive employees could better inform worksite activity interventions. PURPOSE: To examine self-identified motivators for inactive faculty and staff to be more physically active. METHODS: Employees at a Midwestern mid-sized public university were recruited via employee email to participate in an 8-week pedometer-based physical activity intervention that included weekly behavioral education meetings the first four weeks of the program. Only employees currently not meeting minimum physical activity recommendations (<150 minutes of moderate to vigorous physical activity/week) could enroll. At the start of the intervention, program participants (n=58) were asked to write down their top motivators for being physically active. They were then asked to rank their top three motives. The top three motives for each participant (n=174) were analyzed qualitatively by a content analysis. Motives were coded and organized into categories and sub-categories. RESULTS: The findings indicate that the top categories of motivators for being physically active were 1) weight related (n=40), 2) improve mental health (n=24), 3) impact future health (n=19), 4) improve health now (n=18), and, 5) family (n=17). Top motives identified were a mix of both short-term and long-term motives. There were only a scant number (n=3) of intrinsic motivators identified. CONCLUSION: Participants were encouraged to be specific in identifying their top motives (i.e. “decrease/eliminate prescription medicines” vs. “health benefits”). An interesting category emerged with many participants using the exact statement, “to feel better” considering the relative subjectivity of the statement. Furthermore, participants rarely identified enjoyment of physical activity itself as a motivator. Future interventions should focus on helping participants identify types of activities they enjoy to try to promote intrinsic motivation for physical activity adoption and adherence.

Physical Activity, Physical Fitness, and Health-Related Quality of Life in School-Aged Children

Purpose:This study examined the association between physical activity (PA), physical fitness, and health-related quality of life (HRQOL) among school-aged children.Methods:Participants were 201 children (91 boys, 110 girls; Mage = 9.82) enrolled in one school in the southern US. Students’ PA (self-reported PA, pedometer-based PA) and physical fitness (cardiorespiratory fitness, muscular fitness, flexibility, and body composition) were assessed in the fall. The PedsQL4.0 (Varni et al., 2001) was used to assess participants’ HRQOL (physical and mental function) in the spring.Results:PA and four components of physical fitness were positively associated with physical and mental function. Path analyses suggested physical fitness mediated the relationship between self-reported PA and HRQOL (95% CI: [.53, 1.48]), as well as between pedometer-based PA and HRQOL (95% CI: [.54, 1.53]).Discussion:Results support the conclusion that enhancing children’s physical fitness can facilitate positive outcomes including improved health related quality of life.

Disc Golf and Walking Benefits: A Pedometer-Based Physical Activity Assessment

Background: The purpose of this study was to assess the contributions of walking when participating in disc golf and achieving the recommended 10,000 steps per day. Data from men (n = 226) and women (n= 109) participants who played on 15 disc golf courses were analyzed to determine if gender, age, score or playing format had an effect on the average number of steps walked per hole. Each participant wore a pedometer while playing. Participants averaged 311 steps per hole, which equates to 5613 steps for an 18- hole round of disc golf. Women took 69.3 fewer steps per hole than men and each additional throw resulted in 3.2 additional steps per hole. Playing an 18-hole round of disc golf provided for over half of the recommended 10,000 steps per day for healthy living, but these steps were not evenly distributed across all types of players.