Table 2.
Estimated effects of 5-year mean PM2.5 (10μg/m3) on the risk of obesity and abdominal obesity in China.
| Obesity | Abdominal obesity | ||||
|---|---|---|---|---|---|
| OR (95% CI) | P-value | OR (95% CI) | P-value | ||
| Overall | |||||
| Crude OR | 1.07 (1.05,1.10) | <0.001 | 1.03 (1.02,1.04) | <0.001 | |
| Model 1 | 1.06 (1.04,1.09) | <0.001 | 1.01 (0.99,1.03) | 0.332 | |
| Model 2 | 1.03 (1.01,1.05) | 0.003 | 1.01 (0.99,1.03) | 0.199 | |
| Model 3 | 1.12 (1.09,1.14) | <0.001 | 1.10 (1.07,1.13) | <0.001 | |
| Subgroup | |||||
| Sunshine duration, h/d | |||||
| Q1(3.21-5.34) | 1.56 (1.28,1.91) | <0.001 | 1.66 (1.34,2.07) | <0.001 | |
| Q2(5.34-7.18) | 1.34 (1.22,1.47) | <0.001 | 1.42 (1.27,1.58) | <0.001 | |
| Q3(7.18-8.37) | 1.02 (0.97,1.08) | 0.382 | 0.99 (0.94,1.05) | 0.774 | |
| Q4(8.37-9.30) | 1.04 (1.00,1.08) | 0.027 | 1.04 (1.00,1.08) | 0.053 | |
Model 1: Age, sex, and NO2.
Model 2: Age, sex, educational background, smoker, intake of alcohol, household income, rural, and NO2.
Model 3: Age, sex, educational background, smoker, intake of alcohol, household income, rural, NO2, and sunlight hours.