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. 2023 Dec 19;24:280. doi: 10.1186/s12875-023-02238-8

Table 1.

Key features of respondents with and without a Kakaritsuke-I

Attributes Total Do you have a Kakaritsuke-I?
Yes No p-value
Proportions (%) and chi-squared tests for their differences
Periodic doctor visits 48.3 66.6 28.8 < 0.001
Sex Female 50.5 53.5 47.4 < 0.001
Marital status Married 50.9 57.0 44.5 < 0.001
Family Living alone 19.7 15.2 24.6 < 0.001
Educational attainmenta Junior high school 2.5 2.1 2.8 0.090
High school 39.9 41.0 38.6 0.083
Junior college 11.5 13.2 9.6 < 0.001
College or above 46.2 43.7 48.9 < 0.001
Job statusa Regular employee 41.9 35.7 48.5 < 0.001
Non-regular employee 19.7 20.3 19.0 0.235
Self-employment worker 6.7 7.7 5.6 0.002
Unemployed 20.8 26.2 15.1 < 0.001
Out of labor force 2.9 2.9 2.9 0.979
Student 8.0 7.2 8.9 0.022
Sample means and Welch’s t-tests for their differences
Self-related health M 2.43 2.57 2.27 < 0.001
(range: 1 [good] − 5 [poor]) SD (1.14) (1.15) (1.11)
Age M 44.2 48.5 39.6 < 0.001
(years) SD (17.0) (17.7) (15.0)
Household income M 6.18 6.38 5.97 0.057
(annual, million JPY) SD (7.83) (8.06) (7.58)
Number of doctors M 2.73 2.73 2.72 0.811
(per 1000 persons) SD (0.45) (0.44) (0.45)
N 5,234 2,698 2,536

a Chi-squared tests rejected the null hypotheses of independence between educational attainment and Kakaritsukei-I and between job status and Kakaritsukei-I, both at p < .001