1Department of Preventive Medicine, Graduate School of Public Health, Seoul National University, Seoul, Korea
2Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea
3Institute of Health and Environment, Seoul National University, Seoul, Korea
Copyright © 2019 The Korean Society for Preventive Medicine
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
CONFLICT OF INTEREST
The authors have no conflicts of interest associated with the material presented in this paper.
Region | Designated year and month | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 |
---|---|---|---|---|---|---|---|---|---|---|---|
Gangwon-do | Nov 2008 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Gyeongsangbuk-do | Nov 2008 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Jeju-do | Nov 2008 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Gyeongsangnam-do | Mar 2009 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Gwangju | Mar 2009 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Chungcheongbuk-do | Mar 2009 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Busan | Apr 2010 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Jeollabuk-do | Apr 2010 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Daejeon | Apr 2010 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Gyeonggi-do (1)1 | Dec 2012 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |
Incheon | Dec 2012 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |
Seoul | Not designated | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gyeonggi-do (2)1 | Not designated | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gyeonggi-do (3)1 | Not designated | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gyeonggi-do (4)1 | Not designated | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cases per 100 000 |
||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Total |
Male |
Female |
||||||||||
Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | ||||
Treatment effect | 4.785 (0.997)** | 1.660 (1.451) | 1.857 (1.212) | 3.739 (0.676)** | 0.767 (1.008) | 0.945 (0.904) | 1.046 (0.342)** | 0.893 (0.484)† | 0.911(0.392)* | |||
Time trends1 | ||||||||||||
2008 | -1.168 (0.580)† | -1.267 (0.665)† | -0.776 (0.354)* | -0.777 (0.451) | -0.392 (0.276) | -0.490 (0.302) | ||||||
2009 | -0.968 (0.819) | -3.762 (1.531)* | -0.582 (0.531) | -3.205 (1.230)* | -0.386 (0.395) | -0.556 (0.646) | ||||||
2010 | -1.235 (1.170) | -3.553 (2.246) | -0.467 (0.865) | -2.805 (1.736) | -0.769 (0.374)† | -0.748 (0.782) | ||||||
2011 | -0.652 (1.401) | -2.013 (2.286) | -0.232 (1.040) | -1.718 (1.719) | -0.420 (0.432) | -0.296 (0.689) | ||||||
2012 | 1.563 (1.450) | -0.831 (2.718) | 1.825 (1.108) | -0.606 (1.965) | -0.261 (0.423) | -0.225 (0.813) | ||||||
2013 | 2.892 (1.541)† | 1.299 (3.171) | 2.911 (1.191)* | 1.139 (2.473) | -0.018 (0.435) | 0.160 (0.808) | ||||||
2014 | 4.825 (1.774)* | 3.887 (3.692) | 4.341 (1.290)** | 3.063 (2.671) | 0.484 (0.529) | 0.824 (1.134) | ||||||
2015 | 3.842 (1.400)* | 4.423 (3.581) | 3.931 (0.964)** | 3.887 (2.633) | -0.089 (0.461) | 0.536 (1.227) | ||||||
2016 | 4.942 (1.334)** | 4.662 (3.625) | 4.902 (0.992)** | 4.161 (2.713) | 0.040 (0.466) | 0.501 (1.204) | ||||||
Covariates | ||||||||||||
No. of medical facilities | ||||||||||||
Tertiary hospital | 0.721 (0.497) | 0.575 (0.386) | 0.146 (0.132) | |||||||||
Secondary hospital | 0.055 (0.258) | -0.042 (0.170) | 0.097 (0.114) | |||||||||
Clinic | -0.004 (0.011) | -0.002 (0.007) | -0.002 (0.004) | |||||||||
No. of medical personnel | ||||||||||||
Internal medicine | 0.003 (0.012) | 0.001 (0.008) | 0.001 (0.003) | |||||||||
Emergency medicine | 0.020 (0.084) | 0.011 (0.061) | 0.009 (0.025) | |||||||||
General practitioners | -0.001 (0.002) | -0.000 (0.001) | -0.000 (0.000) | |||||||||
Population aged >65 (%) | 0.073 (0.527) | 0.063 (0.376) | 0.009 (0.195) | |||||||||
GRDP per capita (million Korean won) | -0.188 (0.104)† | -0.085 (0.076) | -0.103 (0.032)** | |||||||||
Health-related behavior (%) | ||||||||||||
High-risk alcohol consumption | -0.279 (0.183) | -0.268 (0.166) | -0.011 (0.080) | |||||||||
Prevalence of hypertension | 0.536 (0.583) | 0.458 (0.424) | 0.078 (0.184) | |||||||||
Control rate of hypertension | -0.059 (0.179) | -0.093 (0.148) | 0.034 (0.071) | |||||||||
Prevalence of diabetes | -0.230 (0.631) | -0.116 (0.460) | -0.114 (0.228) | |||||||||
Control rate of diabetes | 0.216 (0.094)* | 0.203 (0.080)* | 0.013 (0.022) | |||||||||
Prevalence of perceived obesity | -0.055 (0.153) | -0.029 (0.122) | -0.026 (0.056) | |||||||||
Prevalence of perceived stress | -0.062 (0.130) | -0.068 (0.113) | 0.006 (0.044) | |||||||||
Prevalence of smoking | 1.024 (0.362)* | 0.849 (0.272)** | 0.175 (0.192) | |||||||||
Constant | 26.540 (0.512)** | 26.740 (0.662)** | -4.454 (28.380) | 18.770 (0.347)** | 18.71 (0.451)** | -6.842 (20.100) | 7.768 (0.176)** | 8.028 (0.245)** | 2.388 (11.250) | |||
Within R2 | 0.246 | 0.592 | 0.689 | 0.234 | 0.646 | 0.733 | 0.143 | 0.240 | 0.360 |
30-d mortality (%p) |
||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Total |
Male |
Female |
||||||||||
Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | ||||
Treatment effect | 0.998 (0.391)* | 0.273 (0.377) | -0.087 (0.408) | 1.206 (0.403)** | 0.585 (0.473) | 0.397 (0.606) | 0.753 (0.819) | -0.924 (0.701) | -1.388 (0.884) | |||
Time trend1 | ||||||||||||
2008 | 0.731 (0.243)** | 0.726 (0.289)* | 0.723 (0.333)* | 0.745 (0.403)† | 0.736 (0.642) | 0.500 (0.796) | ||||||
2009 | 0.217 (0.273) | 0.917 (0.610) | 0.223 (0.318) | 0.905 (0.853) | 0.509 (0.821) | 1.730 (1.168) | ||||||
2010 | 1.086 (0.413)* | 2.361 (0.824)* | 0.612 (0.316)† | 1.664 (1.065) | 3.150 (0.886)** | 4.719 (1.655)* | ||||||
2011 | 0.808 (0.350)* | 1.847 (0.514)** | 1.365 (0.362)** | 2.046 (0.840)* | 2.074 (0.918)* | 4.001 (1.469)* | ||||||
2012 | 0.635 (0.224)* | 1.726 (0.854)† | 0.332 (0.286) | 1.555 (1.253) | 2.027 (0.693)* | 2.668 (1.493)† | ||||||
2013 | 0.981 (0.471)† | 2.243 (0.690)** | 1.176 (0.510)* | 2.405 (1.110)* | 1.231 (1.088) | 2.424 (1.572) | ||||||
2014 | 1.415 (0.445)** | 2.524 (0.887)* | 1.171 (0.356)** | 2.024 (1.245) | 2.366 (1.194)† | 3.534 (2.175) | ||||||
2015 | 1.357 (0.461)* | 2.824 (1.104)* | 0.945 (0.424)* | 1.956 (1.459) | 3.605 (1.063)** | 5.232 (2.252)* | ||||||
2016 | 1.616 (0.531)** | 2.894 (1.328)* | 1.494 (0.431)** | 2.334 (1.613) | 2.438 (1.113)* | 3.862 (2.407) | ||||||
Covariates | ||||||||||||
No. of medical facilities | ||||||||||||
Tertiary hospital | 0.059 (0.211) | 0.036 (0.178) | 0.288 (0.501) | |||||||||
Secondary hospital | 0.170 (0.123) | 0.219 (0.154) | 0.147 (0.171) | |||||||||
Clinic | 0.004 (0.004) | 0.008 (0.005) | -0.003 (0.006) | |||||||||
No. of medical personnel | ||||||||||||
Internal medicine | 0.002 (0.003) | -0.001 (0.004) | 0.005 (0.006) | |||||||||
Emergency medicine | -0.040 (0.019)† | -0.043 (0.029) | -0.027 (0.047) | |||||||||
General practitioners | -0.001 (0.001) | -0.000 (0.001) | 0.000 (0.001) | |||||||||
Population aged >65 (%) | 0.046 (0.335) | -0.027 (0.379) | 0.136 (0.467) | |||||||||
GRDP per capita (million Korean won) | 0.060 (0.039) | 0.038 (0.044) | 0.155 (0.047)** | |||||||||
Health-related behavior (%) | ||||||||||||
High-risk alcohol consumption | 0.060 (0.130) | 0.136 (0.146) | -0.223 (0.216) | |||||||||
Prevalence of hypertension | -0.298 (0.096)** | -0.219 (0.160) | -0.761 (0.304)* | |||||||||
Control rate of hypertension | 0.153 (0.124) | 0.070 (0.162) | 0.551 (0.202)* | |||||||||
Prevalence of diabetes | 0.310 (0.259) | 0.390 (0.370) | 0.701 (0.748) | |||||||||
Control rate of diabetes | -0.026 (0.034) | -0.042 (0.042) | -0.150 (0.068)* | |||||||||
Prevalence of perceived obesity | 0.129 (0.080) | 0.061 (0.076) | 0.358 (0.152)* | |||||||||
Prevalence of perceived stress | 0.039 (0.062) | 0.042 (0.089) | 0.012 (0.125) | |||||||||
Prevalence of smoking | 0.213 (0.154) | 0.099 (0.205) | 0.306 (0.493) | |||||||||
Constant | 4.418 (0.201)** | 3.906 (0.331)** | -28.460 (11.990)* | 3.684 (0.207)** | 3.199 (0.260)** | -23.420 (15.760) | 7.838 (0.420)** | 6.886 (0.822)** | -43.320 (25.540) | |||
Within R2 | 0.111 | 0.246 | 0.401 | 0.118 | 0.225 | 0.340 | 0.014 | 0.169 | 0.306 |
Region | Designated year and month | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 |
---|---|---|---|---|---|---|---|---|---|---|---|
Gangwon-do | Nov 2008 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Gyeongsangbuk-do | Nov 2008 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Jeju-do | Nov 2008 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Gyeongsangnam-do | Mar 2009 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Gwangju | Mar 2009 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Chungcheongbuk-do | Mar 2009 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Busan | Apr 2010 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Jeollabuk-do | Apr 2010 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Daejeon | Apr 2010 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Gyeonggi-do (1) |
Dec 2012 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |
Incheon | Dec 2012 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |
Seoul | Not designated | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gyeonggi-do (2) |
Not designated | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gyeonggi-do (3) |
Not designated | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gyeonggi-do (4) |
Not designated | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Variables | Treatment (n = 11) | Control (n = 4) | p-value |
---|---|---|---|
Dependent variables | |||
No. of cases | |||
All | 769.54 (542.57) | 1248.75 (1298.65) | 0.517 |
Male | 536.90 (374.60) | 880.50 (937.46) | 0.520 |
Female | 232.63 (168.93) | 368.25 (361.40) | 0.512 |
Cases per 100 000 | |||
All | 27.04 (7.16) | 25.91 (7.01) | 0.793 |
Male | 18.98 (4.91) | 17.97 (4.69) | 0.725 |
Female | 8.05 (2.40) | 7.94 (1.19) | 0.939 |
30-d mortality (%) | |||
All | 3.69 (1.65) | 4.47 (0.56) | 0.194 |
Male | 3.04 (1.43) | 3.60 (0.66) | 0.322 |
Female | 6.88 (3.74) | 6.89 (0.85) | 0.989 |
Independent variables | |||
No. of medical facilities | |||
Tertiary hospital | 2.00 (1.48) | 5.25 (9.84) | 0.557 |
Secondary hospital | 16.45 (10.30) | 20.00 (16.71) | 0.709 |
Clinic | 1394.27 (819.50) | 2703.25 (3072.48) | 0.457 |
No. of medical personnel | |||
Internal medicine | 480.72 (301.77) | 946.25 (1136.33) | 0.473 |
Emergency medicine | 23.27 (13.31) | 41.25 (52.16) | 0.541 |
General practitioners | 889.81 (549.70) | 1840.25 (2641.64) | 0.524 |
Population aged >65 (%) | 10.99 (2.16) | 7.42 (1.31) | 0.002 |
GRDP per capita (million Korean won) | 23.53 (4.02) | 24.48 (5.60) | 0.769 |
Health-related behavior (%) | |||
High-risk alcohol consumption | 19.66 (2.92) | 22.08 (1.15) | 0.037 |
Prevalence of hypertension | 17.90 (2.21) | 15.99 (2.41) | 0.214 |
Control rate of hypertension | 91.97 (1.74) | 90.79 (1.11) | 0.154 |
Prevalence of diabetes | 6.54 (0.75) | 5.72 (0.66) | 0.076 |
Control rate of diabetes | 83.90 (3.28) | 84.78 (3.35) | 0.666 |
Prevalence of perceived obesity | 28.64 (2.73) | 32.35 (1.46) | 0.005 |
Prevalence of perceived stress | 28.21 (2.69) | 29.45 (1.27) | 0.249 |
Prevalence of smoking | 25.11 (1.96) | 26.07 (1.35) | 0.310 |
Cases per 100 000 |
||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Total |
Male |
Female |
||||||||||
Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | ||||
Treatment effect | 4.785 (0.997) |
1.660 (1.451) | 1.857 (1.212) | 3.739 (0.676) |
0.767 (1.008) | 0.945 (0.904) | 1.046 (0.342) |
0.893 (0.484) |
0.911(0.392) |
|||
Time trends |
||||||||||||
2008 | -1.168 (0.580) |
-1.267 (0.665) |
-0.776 (0.354) |
-0.777 (0.451) | -0.392 (0.276) | -0.490 (0.302) | ||||||
2009 | -0.968 (0.819) | -3.762 (1.531) |
-0.582 (0.531) | -3.205 (1.230) |
-0.386 (0.395) | -0.556 (0.646) | ||||||
2010 | -1.235 (1.170) | -3.553 (2.246) | -0.467 (0.865) | -2.805 (1.736) | -0.769 (0.374) |
-0.748 (0.782) | ||||||
2011 | -0.652 (1.401) | -2.013 (2.286) | -0.232 (1.040) | -1.718 (1.719) | -0.420 (0.432) | -0.296 (0.689) | ||||||
2012 | 1.563 (1.450) | -0.831 (2.718) | 1.825 (1.108) | -0.606 (1.965) | -0.261 (0.423) | -0.225 (0.813) | ||||||
2013 | 2.892 (1.541) |
1.299 (3.171) | 2.911 (1.191) |
1.139 (2.473) | -0.018 (0.435) | 0.160 (0.808) | ||||||
2014 | 4.825 (1.774) |
3.887 (3.692) | 4.341 (1.290) |
3.063 (2.671) | 0.484 (0.529) | 0.824 (1.134) | ||||||
2015 | 3.842 (1.400) |
4.423 (3.581) | 3.931 (0.964) |
3.887 (2.633) | -0.089 (0.461) | 0.536 (1.227) | ||||||
2016 | 4.942 (1.334) |
4.662 (3.625) | 4.902 (0.992) |
4.161 (2.713) | 0.040 (0.466) | 0.501 (1.204) | ||||||
Covariates | ||||||||||||
No. of medical facilities | ||||||||||||
Tertiary hospital | 0.721 (0.497) | 0.575 (0.386) | 0.146 (0.132) | |||||||||
Secondary hospital | 0.055 (0.258) | -0.042 (0.170) | 0.097 (0.114) | |||||||||
Clinic | -0.004 (0.011) | -0.002 (0.007) | -0.002 (0.004) | |||||||||
No. of medical personnel | ||||||||||||
Internal medicine | 0.003 (0.012) | 0.001 (0.008) | 0.001 (0.003) | |||||||||
Emergency medicine | 0.020 (0.084) | 0.011 (0.061) | 0.009 (0.025) | |||||||||
General practitioners | -0.001 (0.002) | -0.000 (0.001) | -0.000 (0.000) | |||||||||
Population aged >65 (%) | 0.073 (0.527) | 0.063 (0.376) | 0.009 (0.195) | |||||||||
GRDP per capita (million Korean won) | -0.188 (0.104) |
-0.085 (0.076) | -0.103 (0.032) |
|||||||||
Health-related behavior (%) | ||||||||||||
High-risk alcohol consumption | -0.279 (0.183) | -0.268 (0.166) | -0.011 (0.080) | |||||||||
Prevalence of hypertension | 0.536 (0.583) | 0.458 (0.424) | 0.078 (0.184) | |||||||||
Control rate of hypertension | -0.059 (0.179) | -0.093 (0.148) | 0.034 (0.071) | |||||||||
Prevalence of diabetes | -0.230 (0.631) | -0.116 (0.460) | -0.114 (0.228) | |||||||||
Control rate of diabetes | 0.216 (0.094) |
0.203 (0.080) |
0.013 (0.022) | |||||||||
Prevalence of perceived obesity | -0.055 (0.153) | -0.029 (0.122) | -0.026 (0.056) | |||||||||
Prevalence of perceived stress | -0.062 (0.130) | -0.068 (0.113) | 0.006 (0.044) | |||||||||
Prevalence of smoking | 1.024 (0.362) |
0.849 (0.272) |
0.175 (0.192) | |||||||||
Constant | 26.540 (0.512) |
26.740 (0.662) |
-4.454 (28.380) | 18.770 (0.347) |
18.71 (0.451) |
-6.842 (20.100) | 7.768 (0.176) |
8.028 (0.245) |
2.388 (11.250) | |||
Within R2 | 0.246 | 0.592 | 0.689 | 0.234 | 0.646 | 0.733 | 0.143 | 0.240 | 0.360 |
30-d mortality (%p) |
||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Total |
Male |
Female |
||||||||||
Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | ||||
Treatment effect | 0.998 (0.391) |
0.273 (0.377) | -0.087 (0.408) | 1.206 (0.403) |
0.585 (0.473) | 0.397 (0.606) | 0.753 (0.819) | -0.924 (0.701) | -1.388 (0.884) | |||
Time trend |
||||||||||||
2008 | 0.731 (0.243) |
0.726 (0.289) |
0.723 (0.333) |
0.745 (0.403) |
0.736 (0.642) | 0.500 (0.796) | ||||||
2009 | 0.217 (0.273) | 0.917 (0.610) | 0.223 (0.318) | 0.905 (0.853) | 0.509 (0.821) | 1.730 (1.168) | ||||||
2010 | 1.086 (0.413) |
2.361 (0.824) |
0.612 (0.316) |
1.664 (1.065) | 3.150 (0.886) |
4.719 (1.655) |
||||||
2011 | 0.808 (0.350) |
1.847 (0.514) |
1.365 (0.362) |
2.046 (0.840) |
2.074 (0.918) |
4.001 (1.469) |
||||||
2012 | 0.635 (0.224) |
1.726 (0.854) |
0.332 (0.286) | 1.555 (1.253) | 2.027 (0.693) |
2.668 (1.493) |
||||||
2013 | 0.981 (0.471) |
2.243 (0.690) |
1.176 (0.510) |
2.405 (1.110) |
1.231 (1.088) | 2.424 (1.572) | ||||||
2014 | 1.415 (0.445) |
2.524 (0.887) |
1.171 (0.356) |
2.024 (1.245) | 2.366 (1.194) |
3.534 (2.175) | ||||||
2015 | 1.357 (0.461) |
2.824 (1.104) |
0.945 (0.424) |
1.956 (1.459) | 3.605 (1.063) |
5.232 (2.252) |
||||||
2016 | 1.616 (0.531) |
2.894 (1.328) |
1.494 (0.431) |
2.334 (1.613) | 2.438 (1.113) |
3.862 (2.407) | ||||||
Covariates | ||||||||||||
No. of medical facilities | ||||||||||||
Tertiary hospital | 0.059 (0.211) | 0.036 (0.178) | 0.288 (0.501) | |||||||||
Secondary hospital | 0.170 (0.123) | 0.219 (0.154) | 0.147 (0.171) | |||||||||
Clinic | 0.004 (0.004) | 0.008 (0.005) | -0.003 (0.006) | |||||||||
No. of medical personnel | ||||||||||||
Internal medicine | 0.002 (0.003) | -0.001 (0.004) | 0.005 (0.006) | |||||||||
Emergency medicine | -0.040 (0.019) |
-0.043 (0.029) | -0.027 (0.047) | |||||||||
General practitioners | -0.001 (0.001) | -0.000 (0.001) | 0.000 (0.001) | |||||||||
Population aged >65 (%) | 0.046 (0.335) | -0.027 (0.379) | 0.136 (0.467) | |||||||||
GRDP per capita (million Korean won) | 0.060 (0.039) | 0.038 (0.044) | 0.155 (0.047) |
|||||||||
Health-related behavior (%) | ||||||||||||
High-risk alcohol consumption | 0.060 (0.130) | 0.136 (0.146) | -0.223 (0.216) | |||||||||
Prevalence of hypertension | -0.298 (0.096) |
-0.219 (0.160) | -0.761 (0.304) |
|||||||||
Control rate of hypertension | 0.153 (0.124) | 0.070 (0.162) | 0.551 (0.202) |
|||||||||
Prevalence of diabetes | 0.310 (0.259) | 0.390 (0.370) | 0.701 (0.748) | |||||||||
Control rate of diabetes | -0.026 (0.034) | -0.042 (0.042) | -0.150 (0.068) |
|||||||||
Prevalence of perceived obesity | 0.129 (0.080) | 0.061 (0.076) | 0.358 (0.152) |
|||||||||
Prevalence of perceived stress | 0.039 (0.062) | 0.042 (0.089) | 0.012 (0.125) | |||||||||
Prevalence of smoking | 0.213 (0.154) | 0.099 (0.205) | 0.306 (0.493) | |||||||||
Constant | 4.418 (0.201) |
3.906 (0.331) |
-28.460 (11.990) |
3.684 (0.207) |
3.199 (0.260) |
-23.420 (15.760) | 7.838 (0.420) |
6.886 (0.822) |
-43.320 (25.540) | |||
Within R2 | 0.111 | 0.246 | 0.401 | 0.118 | 0.225 | 0.340 | 0.014 | 0.169 | 0.306 |
00, not designated; 1, designated. Gyeonggi-do is divided into four catchment area (Table S3). Among them, only one catchment area has designated to have an Regional Cardiocerebrovascular Center until 2016.
Standard deviation in parentheses. GRDP, gross regional domestic product.
Robust standard errors in parentheses. RCCVC, Regional Cardiocerebrovascular Center; GRDP, gross regional domestic product. Year 2007 as reference.
Robust standard errors in parentheses. RCCVC, regional Cardiocerebrovascular Center; GRDP, gross regional domestic product. Year 2007 as reference.