Skip to main content
. 2021 Apr 26;23(4):e21622. doi: 10.2196/21622

Table 3.

Association between the changes in step count and the changes in cardiovascular disease risk biomarkers among 5473 users whose biomarker information was availablea,b.

Cardiovascular disease risk biomarkers Quintile 1 Quintile 2 Quintile 3 Quintile 4 Quintile 5 P valuec
Weight (kg)





Model 1d –0.43 –0.45 –0.53 –0.92 <.001

Model 2e –0.39 –0.32 –0.50 –0.84 <.001
Systolic blood pressure (mmHg)





Model 1 –0.66 –0.14 –0.35 –0.83 .22

Model 2 –0.97 –0.62 0.01 –1.01 .40
Diastolic blood pressure (mmHg)





Model 1 –0.36 –0.08 0.24 –0.73 .21

Model 2 –0.26 –0.34 0.50 –0.51 .66
Low-density lipoprotein cholesterol (mg/dL)




Model 1 –1.33 –2.85 –2.48 –2.78 .004

Model 2 –0.37 –1.92 –1.55 –1.87 .10
High-density lipoprotein cholesterol (mg/dL)





Model 1 0.48 0.35 0.90 1.91 <.001

Model 2 0.47 0.38 0.73 1.97 <.001
Triglyceride (mg/dL)





Model 1 –6.37 1.74 –3.95 –8.14 .04

Model 2 –4.82 7.80 –1.35 –8.10 .17
HbA1c (%)






Model 1 0.00 0.00 –0.01 –0.04 .004

Model 2 –0.01 –0.01 –0.01 –0.01 .49

aA total of 5473 users are divided into 5 groups according to the quintile of the change in the daily step count following kencom registration.

bValues are the mean changes compared with quintile 1.

cValues are for the linear trend.

dModel 1 was adjusted for age, sex, BMI, smoking, and alcohol drinking.

eModel 2 was further adjusted for the intention to improve lifestyle (“not interested,” “considering,” and “working on”).