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Step Count Accuracy of the Life Plus Connected Watch at Different Localizations and Speeds in Healthy Adults, Patients With Cardiovascular Disease, and Patients With Peripheral Artery Disease: Step Count Validation Study in Laboratory Settings

Step Count Accuracy of the Life Plus Connected Watch at Different Localizations and Speeds in Healthy Adults, Patients With Cardiovascular Disease, and Patients With Peripheral Artery Disease: Step Count Validation Study in Laboratory Settings

Concordance between the step count recorded by the connected watches and the actual number of steps was quantified by calculating the difference between the actual number of steps and the step count measured by the watches. These differences were analyzed using the Wilcoxon test as the Shapiro-Wilk test was performed and showed deviance from normality for actual number of steps and step count by watches.

Anne-Noëlle Heizmann, Edouard Ollier, Pierre Labeix, Ivan Goujon, Frédéric Roche, Claire Le Hello

JMIR Form Res 2025;9:e58964

Effectiveness of Digital Health Interventions in Promoting Physical Activity Among College Students: Systematic Review and Meta-Analysis

Effectiveness of Digital Health Interventions in Promoting Physical Activity Among College Students: Systematic Review and Meta-Analysis

Funnel plot of light physical activity (LPA), moderate to vigorous physical activity (MVPA), sedentary time (ST), and steps. The results of the meta-analysis showed the forest plot (Figure 4 [45-47,50,51,65-67]) for the 4 outcome measures: LPA, MVPA, ST, and steps. Forest plot of light physical activity (LPA), moderate to vigorous physical activity (MVPA), sedentary time (ST), and steps per week [45-47,50,51,65-67]. Regarding LPA, 3 studies involving 276 participants reported changes in weekly LPA.

Siyuan Bi, Junfeng Yuan, Yanling Wang, Wenxin Zhang, Luqin Zhang, Yongjuan Zhang, Rui Zhu, Lin Luo

J Med Internet Res 2024;26:e51714

The Impact of a Gamified Intervention on Daily Steps in Real-Life Conditions: Retrospective Analysis of 4800 Individuals

The Impact of a Gamified Intervention on Daily Steps in Real-Life Conditions: Retrospective Analysis of 4800 Individuals

Walking an additional 1000 steps per day can help reduce the risk of all-cause mortality [6]. For adults aged ≥60 years, this reduction in mortality rates is observed with up to approximately 6000 to 8000 steps per day, whereas for adults aged Digital behavior change interventions are promising avenues to promote daily steps.

Alexandre Mazéas, Cyril Forestier, Guillaume Harel, Martine Duclos, Aïna Chalabaev

J Med Internet Res 2024;26:e47116

The Role of Daily Steps in the Treatment of Major Depressive Disorder: Secondary Analysis of a Randomized Controlled Trial of a 6-Month Internet-Based, Mindfulness-Based Cognitive Behavioral Therapy Intervention for Youth

The Role of Daily Steps in the Treatment of Major Depressive Disorder: Secondary Analysis of a Randomized Controlled Trial of a 6-Month Internet-Based, Mindfulness-Based Cognitive Behavioral Therapy Intervention for Youth

Given the potential for pain to alter the antidepressant effects of daily PA, as well as the observed bimodality in the distribution of BPI subscales (suggestive of 2 clinical subgroups; Figure S1 in Multimedia Appendix 1), we investigated whether pain and daily steps interact to influence BDI-II improvement. Linear regression was used to evaluate the interaction effects of daily steps × pain interference and daily steps × pain severity on BDI-II improvement.

Kevin Dang, Paul Ritvo, Joel Katz, David Gratzer, Yuliya Knyahnytska, Abigail Ortiz, Clarice Walters, Mohamed Attia, Christina Gonzalez-Torres, Andrew Lustig, Zafiris Daskalakis

Interact J Med Res 2023;12:e46419

Using Wearable Technology to Quantify Physical Activity Recovery: Secondary Report From the AFTER (App-Facilitated Tele-Rehabilitation) Program for COVID-19 Survivors Randomized Study

Using Wearable Technology to Quantify Physical Activity Recovery: Secondary Report From the AFTER (App-Facilitated Tele-Rehabilitation) Program for COVID-19 Survivors Randomized Study

They found that, on average, participants took 4359 steps per day in the first month after discharge and that their average step counts increased by 37% between discharge and 3 months after hospitalization and by 82% at 1 year after discharge when compared to baseline [1].

Laura Churchill, Mary Morrow, Jacob J Capin, Sarah E Jolley, Kristine Hare, Samantha MaWhinney, Jennifer E Stevens-Lapsley, Kristine M Erlandson

JMIR Rehabil Assist Technol 2023;10:e43436

Polar Vantage and Oura Physical Activity and Sleep Trackers: Validation and Comparison Study

Polar Vantage and Oura Physical Activity and Sleep Trackers: Validation and Comparison Study

We used Polar Flow (Polar Electro Oy) to download daily Polar Vantage variables for steps, moderate-to-vigorous physical activity (MVPA), total energy expenditure (TEE), and sleep duration (sleep time). The Oura activity and sleep ring (Ōura Health Oy) was released in 2018, and it is equipped with a 50-Hz triaxial accelerometer for physical activity tracking and a photoplethysmograph with 2 infrared light-emitting diodes for optical pulse measurements.

André Henriksen, Frode Svartdal, Sameline Grimsgaard, Gunnar Hartvigsen, Laila Arnesdatter Hopstock

JMIR Form Res 2022;6(5):e27248

Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study

Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study

As this was not possible for all providers (Table 2), days with less than 150 recorded steps were excluded. After data download was completed, we removed the connection between the user’s provider and the m Spider tool by deleting user tokens. All data on physical activity was thus stored anonymously. An anonymous online questionnaire was sent to participants to collect self-reported data on sex, age, height, and weight.

André Henriksen, Erlend Johannessen, Gunnar Hartvigsen, Sameline Grimsgaard, Laila Arnesdatter Hopstock

JMIR Public Health Surveill 2021;7(4):e23806

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

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

First, we plotted the mean daily steps from December 22, 2019, to February 20, 2020 (around COVID-19 epidemic period), and mean daily steps from January 2 to March 3, 2019 (historic comparison period), respectively, using a 3-day moving average smooth method [28]. 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

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

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

Fitbit Charge 2 algorithmically derives and records the following variables from raw sensor data: steps, distance, elevation, calories, HR, and a number of sleep characteristics. Steps, distance, elevation, and calorie data are available at an intraday level in minute-by-minute intervals. Intraday HR data are available at 5- or 10-second 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