Appendix Table 2. Correlates of mHealth Use Among Smartphone Owners
Unadjusted ModelsMultivariate Model* (n = 498)
Patients (n)OR (95% CI)P ValueAdjusted OR (95% CI)P Value
Age (years)473
    18–24ReferenceReference
    25–340.83 (0.43–1.59).580.83 (0.42–1.61).58
    35–440.72 (0.37–1.42).350.71 (0.35–1.43).33
    45–540.41 (0.21–0.83).010.43 (0.21–0.89).02
    55–640.26 (0.12–0.56).0010.26 (0.12–0.6).001
    ≥650.17 (0.05–0.57).0040.19 (0.05–0.68).011
Sex
    MaleReferenceReference
    Female4711.77 (1.14–2.74).011.59 (0.99–2.55).06
Race/ethnicity476
    WhiteReferenceReference
    Native American3.51 (0.43–28.75).243.02 (0.38–24.18).30
    Asian/Pacific Islander0.95 (0.35–2.59).930.88 (0.3–2.57).81
    African American0.44 (0.15–1.29).130.36 (0.11–1.1).07
    Latino1.77 (0.70–4.44).231.43 (0.55–3.73).47
    Other/multiracial1.49 (0.65–3.38).351.21 (0.51–2.85).67
Any health literacy limitation4641.2 (0.79–1.81).391.2 (0.77–1.88).43
Any chronic medical condition4930.95 (0.64–1.41).811.2 (0.77–1.88).41
Depression4361.28 (0.83–1.99).271.2 (0.75–1.94).44
  • All models are adjusted for clustering within clinics.

  • * The multivariate model reports results from a single model that includes all of the independent variables in the table. Multiple imputation was used for missing variables in the multivariate model.

  • CI, confidence interval; OR, odds ratio.