Table 4. Multivariate linear regression analysis of per capita medical expense.
| Overall | Inpatient | Outpatient | Self-treatment | |
| Household characteristics | ||||
| Household size | −1008.0(0.118) | −585.9(0.334) | −340.9(0.080) | −81.4(0.308) |
| Presence of members <18 | 747.1(0.622) | 1129.0(0.428) | −330.1(0.469) | −51.9(0.782) |
| Presence of members >60 | −472.6(0.773) | 399.3(0.795) | −1147.0(0.020) | 275.4(0.175) |
| Per capita income (RMB) | −0.019(0.688) | −0.011(0.802) | −0.004(0.761) | −0.004(0.547) |
| Household head characteristics | ||||
| Age | 116.1(0.072) | 102.6(0.090) | 18.8(0.333) | −5.4(0.503) |
| Gender (baseline: male) | −1427.0(0.285) | −2204.0(0.080) | 823.6(0.041) | −46.7(0.778) |
| Marital status (baseline: married)SingleDivorced or widowed | −1373.0(0.628)−1690.0(0.331) | −224.7(0.933)−503.40.758) | −835.6(0.327)−1155.0(0.028) | −313.1(0.372)−31.3(0.884) |
| Occupation (baseline: farmer)UnemployedOther* | −2656.0(0.442)−715.8(0.515) | −2873.0(0.377)58.1(0.955) | 152.3(0.884)−780.1(0.019) | 65.0(0.879)6.2(0.964) |
| Education (baseline:no school)Elementary schoolMiddle schoolHigh school and higher | −199.6(0.880)929.3(0.540)−874.0(0.671) | −365.4(0.768)1415.0(0.322)100.0(0.959) | 249.1(0.529)−283.5(0.535)−794.3(0.201) | −83.3(0.609)−202.1(0.283)−180.3(0.480) |
In each cell, regression coefficient (p-value).Other occupation includes: government, student, self-employed, public or private company and others.