Association of Smartphone‐Recorded Steps Over Years and Change in Cardiovascular Risk Factors Among Working‐Age Adults
Background Few data exist on long‐term steps and their relation to changes in cardiovascular disease risk factors. We aimed to examine the associations using long‐term smartphone‐recorded steps. Methods and Results The present analysis made use of data from 2 national databases and a commercial app...
Main Authors: | Rikuta Hamaya, Masaki Mori, Kuniaki Miyake, I‐Min Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-07-01
|
Series: | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
Subjects: | |
Online Access: | https://www.ahajournals.org/doi/10.1161/JAHA.121.025689 |
Similar Items
-
A Novel Walking Detection and Step Counting Algorithm Using Unconstrained Smartphones
by: Xiaomin Kang, et al.
Published: (2018-01-01) -
Carrying Position-Independent Ensemble Machine Learning Step-Counting Algorithm for Smartphones
by: Zihan Song, et al.
Published: (2022-05-01) -
The STEPWISE study: study protocol for a smartphone-based exercise solution for people with Parkinson’s Disease (randomized controlled trial)
by: Sabine Schootemeijer, et al.
Published: (2023-09-01) -
Contemporary Issues in the Interdisciplinary Research: Smartphone Computing Research
by: Wen-Chen Hu, et al.
Published: (2020-12-01) -
Context-assisted personalized pedestrian dead reckoning localization with a smartphone
by: Gege Huang, et al.
Published: (2024-04-01)