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. 2014 Apr 16;21(4):657–663. doi: 10.1136/amiajnl-2014-002723

Table 2.

Multivariate analysis of characteristics associated with Blue Button use groups

Characteristic Predictor variables coding OR (95% CI) current user (n=5995) vs non-user (n=11 671) OR (95% CI) past user (n=732) vs non-user (n=11 671
Age Age group 18–39-year-olds=0, remaining coded in increments from 1 to 5 1.00 (0.97 to 1.04) 0.96 (0.89 to 1.04)
Female gender Female=1 0.82 (0.73 to 0.93)** 0.79 (0.60 to 1.05)
Self-rated health status Poor or fair=1 0.94 (0.87 to 1.02) 0.95 (0.77 to 1.15)
Health conditions
 Pain 1.06 (0.99 to 1.14) 1.26 (1.07 to 1.51)**
 Diabetes 1.02 (0.95 to 1.09) 0.84 (0.71 to 0.99)*
 Orthopedic problems 1.07 (0.99 to 1.16) 1.10 (0.92 to 1.32)
 Mental health 0.96 (0.89 to 1.04) 1.26 (1.06 to 1.52)**
 Lung disease/asthma 1.14 (1.04 to 1.25)** 1.31 (1.07 to 1.61)**
Self-rated computer ability Beginner=0 Intermediate=1 Advanced=2 1.60 (1.51 to 1.70)*** 1.29 (1.13 to 1.49)***
Has a system for organizing health information Yes=1, No=0 1.38 (1.29 to 1.48)*** 1.37 (1.18 to 1.63)***
Values having own record of health 0=Not at all or a little important
1=somewhat, very, or extremely important
1.06 (0.91 to 1.23) 0.58 (0.43 to 0.78)**

*p<0.05; **p<0.01; ***p<0.001.