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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)

Ā 

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