Table 3.
Associations between socioeconomic factors and diarrheal hot spots or cold spots in Anhui, China
| Variables | Hot spots | Cold spots | ||
|---|---|---|---|---|
| Univariate model OR (95% CI) | Multivariate model AOR (95% CI) | Univariate model OR (95% CI) | Multivariate model AOR (95% CI) | |
| No. of medical staffs (per 1,000 persons) | 1.09 (0.96–1.23) | 0.95 (0.75–1.20) | 1.09 (1.03–1.16)* | 1.18 (1.08–1.29)* |
| No. of public health physicians (per 10,000 persons) | 1.17 (0.80–1.71) | 1.30 (0.77–2.19) | 0.28 (0.10–0.80)* | 0.27 (0.09–0.86)* |
| Population density (×100 persons/km2) | 1.03 (1.01–1.06)* | 0.99 (0.95–1.03) | 1.00 (0.98–1.03) | 0.99 (0.95–1.04) |
| Per capita GDP (×10,000 RMB, ¥) | 3.18 (2.05–4.93)* | 3.51 (2.09–5.91)* | 0.73 (0.50–1.04) | 0.67 (0.42–1.08) |
OR = odds ratio; AOR = adjusted odds ratio.
* P < 0.05.