Table 2.
Logistic regression model fitting results.
| Dependent variables | Two-week prevalence | Chronic diseases | Required hospitalization | |||
|---|---|---|---|---|---|---|
| OR | 95% CI for OR | OR | 95% CI for OR | OR | 95% CI for OR | |
| Number of family members | 0.89* | (0.86, 0.92) | 0.90* | (0.87, 0.92) | 0.94* | (0.91, 0.96) |
| Female | 1.19* | (1.08, 1.30) | 1.39* | (1.28, 1.51) | 1.25* | (1.14, 1.36) |
| Male (Reference) | ||||||
| Age (years) | ||||||
| 0–12 | 1.54* | (1.14, 2.08) | 0.05* | (0.03, 0.08) | 0.57* | (0.42, 0.77) |
| 13–20 | 0.58* | (0.42, 0.79) | 0.06* | (0.04, 0.09) | 0.37* | (0.27, 0.49) |
| 21–40 | 0.60* | (0.51, 0.71) | 0.15* | (0.13, 0.17) | 0.37* | (0.33, 0.43) |
| 41–60 | 1.02 | (0.88, 1.18) | 0.55* | (0.50, 0.61) | 0.59* | (0.52, 0.66) |
| 61+ (Reference) | ||||||
| Ethnicity | ||||||
| Bai | 1.27* | (1.11, 1.47) | 1.06 | (0.93, 1.20) | 1.38* | (1.22, 1.57) |
| Others | 1.12 | (0.89, 1.42) | 1.00 | (0.81, 1.25) | 1.35* | (1.09, 1.66) |
| Han (Reference) | ||||||
| Occupation | ||||||
| Students | 0.87 | (0.69, 1.08) | 0.81 | (0.55, 1.19) | 0.59* | (0.47, 0.75) |
| Workers | 0.43* | (0.30, 0.60) | 0.67* | (0.52, 0.86) | 0.58* | (0.45, 0.76) |
| Unemployed | 0.77 | (0.57, 1.06) | 1.14 | (0.91, 1.42) | 1.09 | (0.85, 1.38) |
| Other | 0.80* | (0.63, 1.01) | 0.97 | (0.80, 1.18) | 0.86 | (0.70, 1.06) |
| Farmers (Reference) | ||||||
| Marriage | ||||||
| Single | 0.79 | (0.58, 1.06) | 0.45* | (0.34, 0.60) | 0.58* | (0.45, 0.75) |
| Married | 1.04 | (0.85, 1.28) | 0.93 | (0.81, 1.06) | 0.92 | (0.78, 1.08) |
| Divorced or widowed (Reference) | ||||||
| Family Income per person (RMB per year) | ||||||
| <2400 | 1.03 | (0.89, 1.20) | 1.58* | (1.38, 1.79) | 1.15 | (1.00, 1.33) |
| 2,400–4,399 | 1.00 | (0.86,1.16) | 1.28* | (1.12, 1.47) | 1.05 | (0.91, 1.21) |
| 4,400–6,699 | 1.02 | (0.88, 1.19) | 1.25* | (1.09, 1.43) | 1.13 | (0.98, 1.30) |
| 6,700–10,199 | 0.92 | (0.79, 1.07) | 1.11 | (0.97, 1.27) | 1.19 | (1.03, 1.37) |
| 10,200+ (Reference) | ||||||
| Education | ||||||
| Illiterate | 1.04 | (0.82, 1.33) | 1.66* | (1.32, 2.08) | 1.25 | (0.98, 1.59) |
| Primary school | 0.90 | (0.70, 1.14) | 1.44* | (1.15, 1.81) | 1.25 | (0.98, 1.58) |
| Middle school | 0.91 | (0.71, 1.16) | 1.20 | (0.95, 1.52) | 1.11 | (0.87, 1.42) |
| High school | 0.87 | (0.63, 1.19) | 1.28 | (0.96, 1.72) | 1.20 | (0.89, 1.63) |
| Above high school (Reference) | ||||||
In logistic regression, we used the ENTER method. All the independent variables have been included in the analysis, and the corresponding OR value of each variable is obtained by adjusting the influence of other independent variables. *P < 0.05.