Table 3. Multivariate logistic regression analysis of illness conditions.

	Inpatient	Outpatient	Self-treatment
Household characteristics
Household size	1.057(0.788)	0.814(0.218)	0.446(0.002)
Presence of members <18	2.009(0.163)	0.966(0.930)	2.014(0.266)
Presence of members >60	0.859(0.775)	2.173(0.062)	1.359(0.555)
Per capita income (1K RMB)	0.992(0.689)	0.978(0.145)	0.944(0.057)
Household head characteristics
Age	1.045(0.041)	1.000(0.983)	1.024(0.239)
Gender (baseline: male)	0.380(0.064)	2.120(0.031)	1.043(0.919)
Marital status (baseline: married)SingleDivorced or widowed	0.724(0.777)2.007(0.239)	0.897(0.881)0.533(0.166)	0.667(0.647)0.563(0.255)
Occupation (baseline: farmer)UnemployedOther*	0.520(0.567)2.034(0.039)	1.789(0.526)1.072(0.805)	3.357(0.196)0.931(0.851)
Education (baseline: no school)Elementary schoolMiddle schoolHigh school and higher	4.397(0.002)2.589(0.091)1.622(0.553)	1.926(0.054)1.796(0.138)1.023(0.968)	1.028(0.940)0.640(0.362)1.501(0.526)

In each cell, odds ratio (p-value). Inpatient: presence of inpatient treatment for a household; Outpatient: per person outpatient treatments>2; Self-treatment: per person self-treatment>5. Other occupation includes: government, student, self-employed, public or private company and others.