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. 2022 Jun 10;24(6):e34191. doi: 10.2196/34191

Table 3.

Multivariable regression models for Daily24 app use versus nonuse.

Risk factors Model 1a Model 2b

ORc (95% CI) P value OR (95% CI) P value
Demographic risk factors

Age, per 10-year increase 0.77 (0.70-0.85) <.001 0.78 (0.71-0.86) <.001

Gender


Male Refd (1)
Ref (1)


Female 1.32 (0.96-1.81) .09 1.22 (0.88-1.69) .23

Race


White Ref (1)
Ref (1)


Black 0.66 (0.45-0.96) .03 0.67 (0.46-0.98) .04


Other 0.80 (0.49-1.31) .38 0.82 (0.50-1.34) .43

Educational level


<College Ref (1)
Ref (1)


≥College 1.39 (1.03-1.89) .03 1.36 (1.00-1.86) .05

Household income (US $)


<35,000 Ref (1)
Ref (1)


35,000 to <50,000 1.58 (0.91-2.72) .10 1.40 (0.80-2.44) .24


50,000 to <75,000 2.01 (1.20-3.38) .01 1.82 (1.07-3.07) .03


≥75,000 2.30 (1.47-3.61) <.001 2.00 (1.26-3.17) .003

Any child <18 years old


No Ref (1)
Ref (1)


Yes 0.53 (0.39-0.73) <.001 0.55 (0.40-0.75) <.001
Behavioral risk factors

Physical activity


Low or medium e Ref (1)


High 0.93 (0.61-1.43) .75

Fruit and vegetable cups, per 1-cup increase 1.04 (0.95-1.14) .41

Sleep quality


Very good or fairly good Ref (1)


Very bad or fairly bad 0.79 (0.59-1.04) .09

Number of health apps used in past month


0 Ref (1)


1-5 1.70 (1.22-2.37) .002


>5 1.40 (0.84-2.35) .20

BMIf, per 1-unit increase 1.00 (0.98-1.02) .99

aModel 1 was adjusted for age, sex, race, education, household income, and having children younger than 18 years old.

bModel 2 included model 1 parameters and was adjusted for physical activity, fruit and vegetable cups, sleep quality, and BMI.

cOR: odds ratio.

dRef: reference.

eNot calculated since these parameters were not included in model 1.

fBMI is calculated as weight in kilograms divided by height in meters squared.