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Physical Distancing Measures and Walking Activity in Middle-aged and Older Residents in Changsha, China, During the COVID-19 Epidemic Period: Longitudinal Observational Study

Second, we used the same approach to plot the prevalence of low daily steps (≤1500 steps/day) for the corresponding periods.

Yilun Wang, Yuqing Zhang, Kim Bennell, Daniel Kenta White, Jie Wei, Ziying Wu, Hongyi He, Shaohui Liu, Xianghang Luo, Shuo Hu, Chao Zeng, Guanghua Lei

J Med Internet Res 2020;22(10):e21632

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Activity Tracker–Based Metrics as Digital Markers of Cardiometabolic Health in Working Adults: Cross-Sectional Study

Steps, distance, elevation, and calorie data are available at an intraday level in minute-by-minute intervals.

Yuri Rykov, Thuan-Quoc Thach, Gerard Dunleavy, Adam Charles Roberts, George Christopoulos, Chee-Kiong Soh, Josip Car

JMIR Mhealth Uhealth 2020;8(1):e16409

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Tracking the Trackers: Fitbit in Research, 2011-Present

Ernesto Ramirez

iproc 2017;3(1):e30

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Use of a Smartphone App to Increase Physical Activity Levels in Insufficiently Active Adults: Feasibility Sequential Multiple Assignment Randomized Trial (SMART)

There is no consensus about the minimum increase in the number of steps (per day or per week) related to cardiovascular health improvement, although one study found that a change by 2000 steps/day was inversely associated with the risk of a cardiovascular event

Bárbara De Barros Gonze, Ricardo Da Costa Padovani, Maria Do Socorro Simoes, Vinicius Lauria, Neli Leite Proença, Evandro Fornias Sperandio, Thatiane Lopes Valentim Di Paschoale Ostolin, Grace Angélica De Oliveira Gomes, Paula Costa Castro, Marcello Romiti, Antonio Gagliardi, Rodolfo Leite Arantes, Victor Zuniga Dourado

JMIR Res Protoc 2020;9(10):e14322

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Maintaining Physical Activity Level Through Team-Based Walking With a Mobile Health Intervention: Cross-Sectional Observational Study

on average walking steps and the difference of walking steps between the initial and the final week.

Yuri Hamamatsu, Hiroo Ide, Michiru Kakinuma, Yuji Furui

JMIR Mhealth Uhealth 2020;8(7):e16159

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Effects of Activity Tracker Use With Health Professional Support or Telephone Counseling on Maintenance of Physical Activity and Health Outcomes in Older Adults: Randomized Controlled Trial

The text message contained feedback related to average daily steps and a comparison of their daily step goal with that of the previous week.

Katie-Jane Brickwood, Kiran D K Ahuja, Greig Watson, Jane A O'Brien, Andrew D Williams

JMIR Mhealth Uhealth 2021;9(1):e18686

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

Taking Healthy Steps combines the Omron HJ-720 ITC pedometer (Omron Healthcare, Inc, Bannockburn, IL, USA) with a disease-specific website accessed via a URL.

Marilyn L Moy, Carlos H Martinez, Reema Kadri, Pia Roman, Robert G Holleman, Hyungjin Myra Kim, Huong Q Nguyen, Miriam D Cohen, David E Goodrich, Nicholas D Giardino, Caroline R Richardson

J Med Internet Res 2016;18(8):e215

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Assessing the Use of Wrist-Worn Devices in Patients With Heart Failure: Feasibility Study

The mean ICC and 95% confidence interval for each device against the Holter as the gold standard was plotted against exercise workload.For Phase 2, we used a Kruskal-Wallis rank test to compare the mean number of steps, calculated by either device, between

Yasbanoo Moayedi, Raghad Abdulmajeed, Juan Duero Posada, Farid Foroutan, Ana Carolina Alba, Joseph Cafazzo, Heather Joan Ross

JMIR Cardio 2017;1(2):e8

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Effectiveness of an Activity Tracker- and Internet-Based Adaptive Walking Program for Adults: A Randomized Controlled Trial

IntroductionOver a third of US adults are considered sedentary (taking on average fewer than 5000 steps/day) [1], and the average adult takes only 6540 steps/day [2], well short of the 10,000 steps per day target commonly used in public health campaigns.

Josée Poirier, Wendy L Bennett, Gerald J Jerome, Nina G Shah, Mariana Lazo, Hsin-Chieh Yeh, Jeanne M Clark, Nathan K Cobb

J Med Internet Res 2016;18(2):e34

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Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial

The daily step goals were computed using the BAA [43,47] on the complete history (past steps and goals) of the user. The BAA algorithm was applied every week to reduce variance in future steps and goals.

Mo Zhou, Yoshimi Fukuoka, Yonatan Mintz, Ken Goldberg, Philip Kaminsky, Elena Flowers, Anil Aswani

JMIR Mhealth Uhealth 2018;6(1):e28

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