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. 2021 Apr 26;23(4):e21622. doi: 10.2196/21622

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©Rikuta Hamaya, Hiroshi Fukuda, Masaki Takebayashi, Masaki Mori, Ryuji Matsushima, Ken Nakano, Kuniaki Miyake, Yoshiaki Tani, Hirohide Yokokawa. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 26.04.2021.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

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Changes in CVD biomarkers among users according to the changes in daily step count. Changes in CVD biomarkers following kencom registration (follow-up data minus baseline data) were compared according to the quintile of the changes in the user’s step count (corresponding to Q1 to Q5 in the x-axis). Bars represent the average changes in the biomarker in each unit and the error bars indicate the standard errors. P values are for the linear trend. BP: blood pressure; CVD: cardiovascular disease; HbA_1c: hemoglobin A_1c; HDL: high-density lipoprotein; LDL: low-density lipoprotein.