scholarly journals Feasibility Study of an mHealth-based Team Challenge to Promote Stepping and Stairs Climbing Activity (Preprint)

2018 ◽  
Author(s):  
Seaw Jia Liew ◽  
Alex Wilhelm Gorny ◽  
Chuen Seng Tan ◽  
Falk Muller-Riemenschneider
Keyword(s):  
Real Time ◽  
Intervention Group ◽  
Living Condition ◽  
Data Management System ◽  
Multiple Linear Regressions ◽  
Free Living ◽  
Entire Study ◽  
Step Counts ◽  
Steps Per Day ◽  
Linear Regressions

BACKGROUND mHealth approaches are gaining popularity to address low levels of physical activity (PA). OBJECTIVE This study aimed to: (1) develop an mHealth suite, combining PA wearables and an interactive smartphone application (App) supported by a web-based data management system, (2) determine the validity of the wearables in measuring steps per day and floor-count, and (3) assess feasibility and effects of a 6-week team challenge intervention. METHODS Staff and students from a public university were recruited between 2015 and 2016. In Phase 1, every participant was requested to wear a Fitbit tracker (Charge™ or Charge HR™) and an ActiGraph™ for 7 days to measure daily step counts under free-living condition. They were also asked to climb 4 bouts of floors in an indoor stairswell to measure floor-counts. Steps per day and floor-counts estimated by Fitbit™ were compared against ActiGraph and direct observation, respectively. In Phase 2, participants were allocated to control or intervention group and received a Fitbit tracker synced to the Fitbit App. Further, the intervention participants were randomized to 4 teams and used the developed mHealth suite. Teams competed in 6 weekly (Monday - Friday) real-time challenges. A valid day was defined as having accumulated ≥1,500 steps per day. Outcomes were: (i) adherence to wearing Fitbit (i.e. number of days in which all participants in each group was classified as valid users aggregated across entire study period), (ii) mean proportion of valid participants over the study period, and (iii) the effects of intervention on steps and floor-counts determined using multiple linear regressions models and generalized estimating equations (GEE) for longitudinal data analysis. RESULTS In Phase one, 32/40 (steps) and 40/40 (floors) participants provided valid data. The Fitbit trackers demonstrated a high to very high correlation (steps: Spearman Rho=0.89, P < .001, floors: Spearman Rho=0.98, P < .001), respectively. The trackers over-estimated step-counts in free-living condition (median absolute error: 17%) but accurately estimated floor-counts. In Phase two, 20 participants each were allocated to intervention and control. 24 completers (i.e. provided complete covariates and valid PA data) were included in the analyses. Multiple linear regressions revealed 15.9% higher average steps/day (95% CI: -8.9, 47.6, P= .21) and 39.4% higher average floors/day (95% CI: 2.4, 89.7, P= .04) in the intervention group during the final two intervention weeks. GEE results indicated no significant interaction effects between groups and intervention week for weekly step counts, whereas a significant effect (P< .001) was observed for weekly floor counts. CONCLUSIONS The consumer wearables integrated in our mHealth suite provided acceptable validity in estimating stepping and stairs climbing activities. The mHealth suite was feasible for implementing real-time team-challenge interventions. Compared to the controls, the intervention participants performed more stairs climbing which could be introduced as an additional PA promotion target in the context of mHealth strategies. Methodologically rigorous studies with larger sample-size and long-term follow-up are warranted to strengthen the evidence for the proposed mHealth strategy.

Measuring Children’s Activity Levels: The Association Between Step-Counts and Activity Time

2006 ◽  
Vol 3 (2) ◽  
pp. 221-229 ◽  
Author(s):  
Aaron Beighle ◽  
Robert P. Pangrazi
Keyword(s):  
Physical Activity ◽  
Strong Association ◽  
Activity Levels ◽  
Activity Time ◽  
Free Living ◽  
Step Counts ◽  
Steps Per Day

Background:The primary purpose of this study was to describe the association between activity time and step counts in children.Methods:Subjects were 590 students (334 girls, 256 boys) with each gender having a mean age of 9.2 ± 1.8 y. All subjects wore the Walk4Life 2505 pedometer for four consecutive weekdays. This pedometer simultaneously measures both step counts and activity time.Results:Boys accumulated significantly more minutes of activity time/day (140.9 ± 39.6 vs. 126.3 ± 38.1), steps/day (13,348 ± 4131 vs. 11,702 ± 3923), and steps per min (93.99 ± 5.8 vs. 91.85 ± 5.8) than girls (P < 0.001) Steps/day was a significant predictor of activity time/day (P < 0.0001).Conclusions:Boys accumulate more steps per day and more activity time per day than girls. There is a strong association between steps per day and activity time in children. Daily steps per minute as a measure of free living physical activity in children is explored

scholarly journals Comprehensive comparison of Apple Watch and Fitbit monitors in a free-living setting

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251975
Author(s):  
Yang Bai ◽  
Connie Tompkins ◽  
Nancy Gell ◽  
Dakota Dione ◽  
Tao Zhang ◽  
...  
Keyword(s):  
Heart Rate ◽  
Pearson Correlation ◽  
Living Condition ◽  
Equivalence Testing ◽  
Free Living ◽  
Activity Monitors ◽  
Step Counts ◽  
Comprehensive Comparison ◽  
Rate Correlation ◽  
Absolute Percent Error

Objectives The aim of this study was to evaluate the accuracy of three consumer-based activity monitors, Fitbit Charge 2, Fitbit Alta, and the Apple Watch 2, all worn on the wrist, in estimating step counts, moderate-to-vigorous minutes (MVPA), and heart rate in a free-living setting. Methods Forty-eight participants (31 females, 17 males; ages 18–59) were asked to wear the three consumer-based monitors mentioned above on the wrist, concurrently with a Yamax pedometer as the criterion for step count, an ActiGraph GT3X+ (ActiGraph) for MVPA, and a Polar H7 chest strap for heart rate. Participants wore the monitors for a 24-hour free-living condition without changing their usual active routine. MVPA was calculated in bouts of ≥10 minutes. Pearson correlation, mean absolute percent error (MAPE), and equivalence testing were used to evaluate the measurement agreement. Results The average step counts recorded for each device were as follows: 11,734 (Charge2), 11,922 (Alta), 11,550 (Apple2), and 10,906 (Yamax). The correlations in steps for the above monitors ranged from 0.84 to 0.95 and MAPE ranged from 17.1% to 35.5%. For MVPA minutes, the average were 76.3 (Charge2), 63.3 (Alta), 49.5 (Apple2), and 47.8 (ActiGraph) minutes accumulated in bouts of 10 or greater minutes. The correlation from MVPA estimation for above monitors were 0.77, 0.91, and 0.66. MAPE from MVPA estimation ranged from 44.7% to 55.4% compared to ActiGraph. For heart rate, correlation for Charge2 and Apple2 was higher for sedentary behavior and lower for MVPA. The MAPE ranged from 4% to 16%. Conclusion All three consumer monitors estimated step counts fairly accurately, and both the Charge2 and Apple2 reported reasonable heart rate estimation. However, all monitors substantially underestimated MVPA in free-living settings.

scholarly journals How Well iPhones Measure Steps in Free-Living Conditions: Cross-Sectional Validation Study (Preprint)

2018 ◽  
Author(s):  
Shiho Amagasa ◽  
Masamitsu Kamada ◽  
Hiroyuki Sasai ◽  
Noritoshi Fukushima ◽  
Hiroyuki Kikuchi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Linear Trend ◽  
Living Conditions ◽  
Step Count ◽  
Spearman Correlation ◽  
Free Living ◽  
Convenience Sample ◽  
Step Counts ◽  
Steps Per Day ◽  
Free Living Conditions

BACKGROUND Smartphones have great potential for monitoring physical activity. Although a previous laboratory-based study reported that smartphone apps were accurate for tracking step counts, little evidence on their accuracy in free-living conditions currently exists. OBJECTIVE We aimed to investigate the accuracy of step counts measured using iPhone in the real world. METHODS We recruited a convenience sample of 54 adults (mean age 31 [SD 10] years) who owned an iPhone and analyzed data collected in 2016 and 2017. Step count was simultaneously measured using a validated pedometer (Kenz Lifecorder) and the iPhone. Participants were asked to carry and use their own iPhones as they typically would while wearing a pedometer on the waist for 7 consecutive days during waking hours. To assess the agreement between the two measurements, we calculated Spearman correlation coefficients and prepared a Bland-Altman plot. RESULTS The mean step count measured using the iPhone was 9253 (3787) steps per day, significantly lower by 12% (1277/10,530) than that measured using the pedometer, 10,530 (3490) steps per day (P<.001). The Spearman correlation coefficient between devices was 0.78 (P<.001). The largest underestimation of steps by the iPhone was observed among those who reported to have seldom carried their iPhones (seldom carry: mean −3036, SD 2990, steps/day; sometimes carry: mean −1424, SD 2619, steps/day; and almost always carry: mean −929, SD 1443, steps/day; P for linear trend=.08). CONCLUSIONS Smartphones may be of practical use to individuals, clinicians, and researchers for monitoring physical activity. However, their data on step counts should be interpreted cautiously because of the possibility of underestimation due to noncarrying time.

Analisis Persepsi Korupsi Pajak Dan Iklim Organisasi Terhadap Kepatuhan Wajib Pajak Orang Pribadi Karyawan

2017 ◽  
Vol 4 (2) ◽  
pp. 169-180
Author(s):  
Arif Fajar Wibisono ◽  
Yudha Catur Kusuma N
Keyword(s):  
Organizational Climate ◽  
Tax Compliance ◽  
Quantitative Approach ◽  
Multiple Linear Regressions ◽  
Parametric Test ◽  
Tax Corruption ◽  
Linear Regressions

This study aims to determine whether perceptions of corruption and organizational climate affect the compliance of personal taxpayers. This explanatory study used quantitative approach of statistical parametric test and multiple linear regressions with questionnaire instrument. This study involved personal taxpayer in the area of KPP Pratama Kota Surakarta. The result of this study confirms that the perceptions of individual tax corruption and organizational climate affect the compliance of personal taxpayers. The better the organization’s climate in emphasizing tax compliance is, the higher the level of compliance personal taxpayers is. In addition, the higher the level of perception of a person’s corruption of the tax apparatus is severely punished then increasing the compliance of personal taxpayers’ increases.

scholarly journals Warranty Claim Quantity Forecasting via Multiple Linear Regressions

2021 ◽  
Vol 1962 (1) ◽  
pp. 012043
Author(s):  
N Haris ◽  
A K Junoh ◽  
W Z A Wan Muhamad
Keyword(s):  
Multiple Linear Regressions ◽  
Linear Regressions

Walking for Better Outcomes and Recovery: The Effect of WALK-FOR in Preventing Hospital-Associated Functional Decline Among Older Adults

2019 ◽  
Vol 74 (10) ◽  
pp. 1664-1670 ◽  
Author(s):  
Yaniv Cohen ◽  
Anna Zisberg ◽  
Yehudit Chayat ◽  
Nurit Gur-Yaish ◽  
Efrat Gil ◽  
...  
Keyword(s):  
Older Adults ◽  
Group Intervention ◽  
Functional Decline ◽  
Intervention Group ◽  
Control Group ◽  
Community Mobility ◽  
Steps Per Day ◽  
Quasi Experimental ◽  
Activity Survey

Abstract Background In-hospital immobility of older adults is associated with hospital-associated functional decline (HAFD). This study examined the WALK-FOR program’s effects on HAFD prevention. Methods A quasi-experimental pre-post two-group (intervention group [IG] n = 188, control group [CG] n = 189) design was applied in two hospital internal medical units. On admission, patients reported pre-hospitalization functional status, which was assessed again at discharge and 1-month follow-up. Primary outcome was decline in basic activities of daily living (BADL), using the Modified Barthel Index. Secondary outcomes were decline in instrumental ADL (Lawton’s IADL scale) and community mobility (Yale Physical Activity Survey). All participants (75.1 ± 7 years old) were cognitively intact and ambulatory at admission. The WALK-FOR included a unit-tailored mobility program utilizing patient-and-staff education with a specific mobility goal (900 steps per day), measured by accelerometer. Results Decline in BADL occurred among 33% of the CG versus 23% of the IG (p = .02) at discharge, and among 43% of the CG versus 30% in the IG (p = .01) at 1-month follow-up. Similarly, 26% of the CG versus 15% of the IG declined in community mobility at 1-month follow-up (p = .01). Adjusted for major covariates, the intervention reduced the odds of decline in BADL by 41% (p = .05) at discharge and by 49% at 1-month follow-up (p = .01), and in community mobility by 63% (p = .02). There was no significant effect of the intervention on IADL decline (p = .19). Conclusions The WALK-FOR intervention is effective in reducing HAFD.

MINAT CALON PEMILIK KARTU DEBIT DANAMON MANCHESTER UNITED DI YOGYAKARTA

2014 ◽  
Vol 9 (2) ◽  
pp. 113
Author(s):  
Septi Anggraeni
Keyword(s):  
Brand Image ◽  
Multiple Linear Regressions ◽  
Debit Card ◽  
Advertising Message ◽  
Analysis Methods ◽  
Linear Regressions

The purpose of this study is to understanding the influence product, advertising design, advertising color, advertising message, and brand image toward interest to Danamon’s Debit Card Manchester United advertising brochure at Yogyakarta. The data was gained by spreading 100 questionnaires to 100 respondents who has never had the Danamon’s Debit Card Manchester United. The analysis methods that used in this research is multiple linear regressions. Based on the result of multiple linear regressions, the results showed product, brochure design, brochure color, brochure message and brand image that influencing the having interest of Danamon’s Debit Card Manchester United at Yogyakarta Keywords: Product, Brochure design, Brochure color, Brochure message and Brand image

Abstract MP006: A Feasible and Effective Mobile Health Weight Loss Lifestyle Intervention for Filipinos With Type 2 Diabetes

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Melinda S Bender ◽  
Bruce Cooper ◽  
Shoshana Arai
Keyword(s):  
Weight Loss ◽  
Waist Circumference ◽  
Lifestyle Intervention ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Retention Rate ◽  
Intervention Group ◽  
Step Counts ◽  
Fasting Plasma ◽  
Cardiometabolic Risks

Introduction: Filipino Americans have the highest prevalence of obesity and type 2 diabetes (T2D) compared to Asian American subgroups placing them at high risk for cardiometabolic disease. Effective interventions are needed to reduce these health disparities. Mobile health (mHealth) weight loss lifestyle interventions have been effective in reducing cardiometabolic risks, but are untested among Filipinos, particularly with T2D. As prolific users of digital technology, Filipinos are ideal candidates for mHealth lifestyle interventions. Therefore, we conducted the PilAm Go4Health intervention study - a culturally adapted weight loss lifestyle intervention using mobile technology to reduce cardiometabolic risks among Filipinos with T2D. Objective: To demonstrate intervention feasibility and potential efficacy. Hypothesis: 1) participant retention rate will be greater than 80%; 2) Compared to the control, intervention group will have significantly greater reduction in: % weight loss, waist circumference, fasting plasma glucose, and HbA1; and greater increase in step-counts. Methods: Two-arm (intervention +active control groups) RCT compared a 3-month intervention (Fitbit accelerometer +mHealth app/diary +Facebook group) and control (Fitbit accelerometer). N=45 overweight Filipino adults with T2D were recruited from Northern California communities. Between group differences from baseline to 3-months were analyzed using: 1) multilevel regression for within-person change in weight and step-counts using a nonparametric bias-corrected bootstrapped 95% CI for the multilevel models, and 2) T-tests, ANOVA for waist circumference, fasting plasma glucose, and HbA1c (significance =p<0.05, 2-sided). Cohen’s d was used for effect size analyses. Results: Randomized N=45 Filipinos (intervention =22 and control =23). Mean age was 58±10 years, 62% women, and retention rate=100%. There was significantly greater reduction in the intervention group compared to the control for: % weight (2.3% greater decrease, d=0.46); waist circumference (-2.68cm; d= 0.88); and fasting plasma glucose (-18.52mg/dl; d= -0.86). HbA1c group difference was not significant (-0.34%; p< 0.19). Step-counts significantly increased in the intervention group compared to control (3432 steps at endpoint; d=1.44). Conclusion: PilAm Go4Health intervention demonstrated excellent feasibility in recruitment and retention, and potential efficacy for reducing cardiometabolic risks in Filipinos with T2D. Results warrant further testing of this lifestyle intervention that may support translation to other at-risk diverse populations living with T2D.

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