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Table 4 Summary of multinomial logistic regression model for device familiarity predicting personalised health intervention device preferences, controlling for sex, age, and education

From: Is preference for mHealth intervention delivery platform associated with delivery platform familiarity?

  Tablet preference (compared to other) Smartphone preference (compared to other)
  B SE B e B B SE B e B
Intercept −4.12* 0.54 -- −2.67* 0.55 --
Tablet familiarity       
 Reference: Low familiarity       
 High familiarity 3.41* 0.27 30.14 0.32 0.20 1.38
 Moderate familiarity 2.05* 0.33 7.74 0.35 0.24 1.43
Smartphone familiarity       
 Reference: Low familiarity       
 High familiarity 0.20 0.21 1.23 3.13* 0.38 22.95
 Moderate familiarity 0.00 0.30 1.00 1.90* 0.45 6.71
Sex       
 Reference: Female       
 Male −0.48* 0.18 0.62 −0.04 0.12 0.96
Education       
 Reference: High school degree or less       
 University education 0.44 0.24 1.56 0.86* 0.27 2.36
 Technical studies 0.33 0.33 1.40 0.45 0.36 1.57
Age −0.00 0.01 1.00 −0.05* 0.01 0.95
  1. Note: Residual deviance = 1718.54, AIC = 1754.54. *p < .05, e B = exponentiated B