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. 2019 May 23;7(5):e13679. doi: 10.2196/13679

Table 2.

Binary logistic regression coefficients predicting the adoption of mobile health appsa (N=2591).

Independent variables Odds ratio (95% CI) P value
Female (vs male) 1.44 (1.20-1.73) <.001
Age (years) 0.99 (0.98-1.00) .09
Education (vs low education level)

Medium education level 1.34 (1.04-1.71) .02

High education level 1.45 (1.16-1.81) <.001
Occupation (vs workers)

Managers, administrators, and professionals 1.27 (0.94-1.72) .12

Clerks 1.69 (1.27-2.24) .02

Students 1.17 (0.83-1.65) .37

Unemployed 1.21 (0.86-1.69) .28
Parenting status (with kids at home=1, without kids=0) 0.95 (0.77-1.18) .66
Marital status (married=1, single/divorced/widowed=0) 1.24 (0.98-1.57) .07

aCox and Snell R2=0.022.