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Tables 2 Descriptive characteristics of the sample by overall unmet health care needs, KNHANES 2010–2012

From: Understanding reasons for unmet health care needs in Korea: what are health policy implications?

Variables

Overall unmet need

Female

Male

Yes - Estimated n (%)

No- Estimated n (%)

p-value*

Yes - Estimated n (%)

No- Estimated n (%)

p-value*

Unmet need

Experience within the past 1 year

4,204,621 (22.4)

14,531,313 (77.6)

 

2,622,189(14.5)

15,456,535 (85.5)

 

Age

19–34

1,369,050 (26.0)

3,898,168 (74.0)

<  0.01

830,225 (15.0)

4,719,006 (85.5)

0.16

35–49

1,062,884 (17.9)

4,860,195 (82.1)

924,922 (15.3)

5,124,277 (84.7)

50–64

962,174 (21.2)

3,569,141 (78.8)

619,790 (14.2)

3,735,121 (85.8)

65 +

810,513 (26.9)

2,203,809 (73.1)

247,251 (11.6)

1,878,132 (88.4)

Marital status

Married or living with partner

2,522,832 (20.1)

10,017,217 (79.9)

<  0.01

1,801,493 (14.4)

10,729,838 (85.6)

0.74

Single or living alone

1,681,790 (27.1)

4,514,095 (72.9)

820,696 (14.8)

4,726,697 (85.2)

Education

Completion of elementary school

1,296,794 (27.4)

3,434,929 (72.6)

<  0.01

354,495 (16.1)

1,843,690 (83.9)

0.28

Completion of middle school

387,824 (20.5)

1,502,759 (79.5)

272,357 (14.8)

1,563,496 (85.2)

Completion of high school

1,338,885 (19.8)

5,438,113 (80.2)

1,128,855 (15.0)

6,380,613 (85.0)

Completion of post-secondary

1,181,118 (22.1)

4,155,511 (77.9)

866,481 (13.3)

5,668,736 (86.7)

Income

Q1(Lowest)

1,044,038 (30.7)

2,355,908 (69.3)

<  0.01

344,707 (13.7)

2,173,829 (86.3)

0.71

Q2

1,177,407 (22.7)

4,014,225 (77.3)

733,115 (15.2)

4,087,629 (84.8)

Q3

1,112,956 (21.4)

4,084,109 (78.6)

819,758 (14.9)

4,695,497 (85.1)

Q4(Highest)

870,221 (17.6)

4,077,071 (82.4)

724,608 (13.9)

4,499,580 (86.1)

Occupation

White collar and office

908,711 (25.9)

2,598,568 (74.1)

<  0.01

697,074 (13.5)

4,460,213 (86.5)

0.01

Services and sales

641,635 (22.6)

2,195,116 (77.4)

396,073 (16.7)

1,981,006 (83.3)

Farming & fishing

263,807 (28.1)

674,658 (71.9)

219,529 (14.9)

1,249,880 (85.1)

Blue collar

574,624 (24.7)

1,753,012 (75.3)

848,462 (16.5)

4,296,984 (83.5)

Out of labour market (Homemakers/students, etc.)

1,815,844 (19.9)

7,309,959 (80.1)

461,051 (11.7)

3,468,453 (88.3)

Region

Seoul

743,067 (18.6)

3,253,174 (81.4)

<  0.01

396,202 (10.6)

3,339,972 (89.4)

<  0.01

Incheon & Gyeonggi

1,054,958 (19.9)

4,252,994 (80.1)

661,425 (12.7)

4,544,040 (87.3)

Daejeon & Chungcheong/ Gangwon

544,751 (22.2)

1,912,552 (77.8)

302,217 (12.2)

2,180,618 (87.8)

Gwangjoo & Jeolla/ Jeju

470,726 (22.3)

1,635,504 (77.7)

275,190 (13.5)

1,760,897 (86.5)

Busan, Daegu, Ulsan & Gyeongsang

1,391,120 (28.6)

3,477,089 (71.4)

987,155 (21.4)

3,631,009 (78.6)

Health insurance

National Health Insurance (NHI)

3,974,949 (22.0)

14,088,971 (78.0)

<  0.01

2,543,768 (14.5)

15,041,721 (85.5)

0.14

Medicaid

203,661 (35.2)

375,146 (64.8)

711,59 (19.9)

286,956 (80.1)

No & don’t know

26,010 (27.9)

67,195 (72.1)

7262 (0.4)

127,858 (94.6)

Self-rated health

Very good/good

875,945 (15.3)

4,857,410 (84.7)

<  0.01

747,844 (10.7)

6,214,591 (89.3)

<  0.01

Fair

1,926,262 (21.3)

7,106,279 (78.7)

7,404,775 (14.1)

1,219,802 (85.9)

Poor/Very poor

1,402,414 (35.3)

2,567,624 (64.7)

654,543 (26.3)

1,837,170 (73.7)

  1. *The p-values in the univariate analyses were chi-squares (for two categorical variables) and ANOVA (for multiple categorical variables), indicating the relationship between the dependent variable and independent variables