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Table 2 Logistic Regression on Physical Check-Ups by Age Groups in the United States, the 2017 US Health Information National Trends Survey

From: Does health literacy affect the uptake of annual physical check-ups?: Results from the 2017 US health information national trends survey

Variables Age between 18 and 59 (Model 1) Age over 60 (Model 2)
  OR 95% CI OR 95% CI
Predisposing factors Age 1.016** 1.004, 1.029 1.008 0.988, 1.029
Gender(ref=male) 1.377** 1.084, 1.751 1.242 0.912, 1.691
Income 0.972 0.915, 1.032 1.061 0.976, 1.154
Urban(ref=rural) 1.092 0.755, 1.578 0.782 0.504, 1.214
Enabling factors A lot of Effort to get the information (HL) 0.945 0.768, 1.162 1.009 0.769, 1.323
Frustrated during search for the information (HL) 0.758** 0.617, 0.933 0.835 0.629, 1.108
Concerned about the quality of the information(HL) 1.029 0.878, 1.205 1.017 0.809, 1.278
Information you found was hard to understand(HL) 1.225 0.997, 1.504 1.428* 1.069, 1.909
Confident Get Health Information (HL) 1.154* 1.000, 1.332 1.183 0.985, 1.420
Education 1.071 0.981, 1.170 0.980 0.882, 1.089
Health Insurance 2.576*** 1.612, 4.118 2.341* 1.024, 5.352
Primary doctor 2.636*** 2.065, 3.363 2.361*** 1.658, 3.363
Need factors Health Status 1.017 0.879, 1.177 0.992 0.826, 1.193
Chronic Disease 1.435*** 1.235, 1.668 1.438*** 1.228, 1.685
Depression 0.974 0.933, 1.018 0.947 0.889, 1.010
Personal history of cancer 0.857 0.542, 1.353 0.999 0.694, 1.439
Family history of cancer 0.963 0.741, 1.251 0.787 0.543, 1.140
Number of observations 1,465 1,681
Pseudo R2 0.104 0.07
Log Likelihood Rate Test 199.07 84.01
  1. Note: * p<.05; **p<.01, ***p<.001