Table. 4.

Within effect of regular doctor on preventive health care (between effect from REWB logistic regression)

Variable Vaccination and
preventive carea
Regular doctor (Ref: no having)
Having 1.05 (0.98–1.13)
Age, y (Ref: 18–44 y)
45–64 0.92 (0.78–1.09)
≥65 1.84 (1.44–2.35)***
Spouse (Ref: having)
No having 0.57 (0.45–0.73)***
Education (Ref: under high school)
Higher than high school and less than college 1.05 (0.67–1.63)
University graduate or higher 1.26 (0.75–2.09)
Economic activity (Ref: yes)
No 1.04 (0.94–1.14)
Household incomeb (Ref: 1st quartile)
2nd quartile 1.14 (1.02–1.27)*
3rd quartile 1.06 (0.93–1.21)
4th quartile 1.05 (0.91–1.22)
5th quartile (highest) 1.09 (0.92–1.28)
Medical coverage (Ref: health insurance)
Medical benefits 0.87 (0.63–1.21)
Private medical insurance (Ref: not join)
Join 1.14 (0.95–1.36)
Chronic diseases (Ref: none)
1 1.08 (0.94–1.25)
≥2 1.20 (1.02–1.42)*
CCI (Ref: 0)
1 0.84 (0.73–0.97)*
≥2 0.76 (0.63–0.92)**
Disability (Ref: none)
Mild disability 0.73 (0.51–1.05)
Severe disability 0.91 (0.50–1.64)
Subjective health status (Ref: above average)
Bad 1.00 (0.92–1.09)

Values are presented as odds ratio (95% confidence interval).

REWB, within-between random effect; CCI, Charlson Comorbidity Index.

aBone mineral density test, bone age test, diabetes mellitus test, herbal medicine, scaling, wisdom tooth extraction for prevention, etc.

bUsing a square root scale, the 1st quartile is the lowest 20%, and the 5th quartile is the highest 20% as a reference criterion.

*P<0.05, **P<0.01, ***P<0.001.

Korean J Fam Pract 2022;12:151~157 https://doi.org/10.21215/kjfp.2022.12.3.151
© KJFP