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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
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