Table 2.
Descriptive statistics for the study population (mean/standard deviation)
| |
|
2004(N = 4351) |
2009(N = 3919) |
||
|---|---|---|---|---|---|
| Variable | Definition | Mean | S.D. | Mean | S.D. |
|
Health use variables |
|
|
|
|
|
| Outpatient use |
Dummy variable: 1, outpatient use; 0 otherwise |
0.111 |
0.314 |
0.116 |
0.320 |
| Folk doctor use |
Dummy variable: 1, folk doctor use; 0 otherwise |
0.033 |
0.179 |
0.050 |
0.218 |
| Preventive care use |
Dummy variable: 1, Preventive care use; 0 otherwise |
0.030 |
0.170 |
0.035 |
0.184 |
|
Health needs variables |
|
|
|
|
|
| 18-29 |
Dummy variable: 1, aged between 18–29; 0 otherwise. |
0.122 |
0.328 |
0.098 |
0.297 |
| 30-44 |
Dummy variable: 1, aged between 30–44; 0 otherwise. |
0.333 |
0.471 |
0.310 |
0.462 |
| 45-64 |
Dummy variable: 1, aged between 45–64; 0 otherwise. |
0.447 |
0.497 |
0.469 |
0.499 |
| 65 and above |
Dummy variable: 1, aged between 65 and above; 0 otherwise. |
0.097 |
0.296 |
0.124 |
0.329 |
| Gender |
Dummy variable: 1, male; 0 female |
0.499 |
0.500 |
0.506 |
0.500 |
| No symptoms |
Dummy variable: 1, no symtons; 0 otherwise |
0.784 |
0.412 |
0.801 |
0.400 |
| Minor Illness |
Dummy variable: 1, minor illness; 0 otherwise |
0.152 |
0.359 |
0.137 |
0.344 |
| Major illness |
Dummy variable: 1, major illness; 0 otherwise |
0.064 |
0.245 |
0.062 |
0.242 |
| 4 week illness |
Dummy variable: 1, having been illness for the past 4 weeks; 0 otherwise |
0.153 |
0.360 |
0.148 |
0.355 |
|
Socioeconomic variables |
|
|
|
|
|
| Per capita income |
Per capita household income inflated to 2009 |
4787.057 |
5004.990 |
9996.772 |
11817.190 |
| No insurance |
Dummy variable: 1, no insurance; 0 otherwise |
0.888 |
0.315 |
0.067 |
0.250 |
| NCMS |
Dummy variable: 1, NCMS; 0 otherwise |
0.041 |
0.197 |
0.875 |
0.331 |
| Commercial insurance |
Dummy variable: 1, commercial insurance; 0 otherwise |
0.013 |
0.112 |
0.029 |
0.167 |
| Other insurance |
Dummy variable: 1, other insurance; 0 otherwise |
0.059 |
0.235 |
0.030 |
0.170 |
| Marital Status |
Dummy variable: 1 married, 0 otherwise |
0.874 |
0.332 |
0.883 |
0.321 |
| White collar/skilled |
Dummy variable: 1 white collar or skilled worker, 0 otherwise |
0.065 |
0.246 |
0.072 |
0.258 |
| Unskilled/farmer |
Dummy variable: 1 unskilled worker or farmer, 0 otherwise |
0.617 |
0.486 |
0.691 |
0.462 |
| Other job |
Dummy variable: 1 other jobs, 0 otherwise |
0.021 |
0.143 |
0.029 |
0.169 |
| Unemployed |
Dummy variable: 1 Unemployed, 0 otherwise |
0.225 |
0.418 |
0.207 |
0.405 |
| No edu |
Dummy variable: 1 no education; 0 otherwise |
0.216 |
0.412 |
0.240 |
0.427 |
| Pri and sec edu |
Dummy variable: 1 primary and secondary education; 0 otherwise |
0.628 |
0.483 |
0.604 |
0.489 |
| High school |
Dummy variable: 1 high school and technical school education; 0 otherwise |
0.139 |
0.346 |
0.128 |
0.334 |
| Uni and above |
Dummy variable: 1 university education and above; 0 otherwise |
0.017 |
0.129 |
0.028 |
0.164 |
| Province Liaoning |
Dummy variable: 1 Liaoning, 0 otherwise |
0.123 |
0.329 |
0.119 |
0.323 |
| Province Heilongjiang |
Dummy variable: 1 Heilongjiang, 0 otherwise |
0.099 |
0.299 |
0.110 |
0.312 |
| Province Jiangsu |
Dummy variable: 1 Jiangsu, 0 otherwise |
0.126 |
0.332 |
0.121 |
0.326 |
| Province Shandong |
Dummy variable: 1 Shandong, 0 otherwise |
0.108 |
0.310 |
0.111 |
0.315 |
| Province Henan |
Dummy variable: 1 Henan, 0 otherwise |
0.099 |
0.298 |
0.100 |
0.300 |
| Province Hubei |
Dummy variable: 1 Hubei, 0 otherwise |
0.103 |
0.304 |
0.107 |
0.310 |
| Province Hunan |
Dummy variable: 1 Hunan, 0 otherwise |
0.085 |
0.279 |
0.090 |
0.286 |
| Province Guangxi |
Dummy variable: 1 Guangxi, 0 otherwise |
0.124 |
0.330 |
0.133 |
0.339 |
| Province Guizhou | Dummy variable: 1 Guizhou, 0 otherwise | 0.132 | 0.339 | 0.110 | 0.312 |