Table 4:
Estimated adjusted† percentage difference in C-reactive protein per 25% increase in 24-hour average measured pollutant concentration, or by stove type among traditional and Justa stove users, rural Honduras
| Pollutant | N | Percentage Difference in CRP | 95% CI | |
|---|---|---|---|---|
| Kitchen PM2.5 (μg/m3)‡ | 74 | 4.2 | −1.1, 9.7 | |
| Personal PM2.5 (μg/m3)‡ | 73 | 10.5 | 1.2, 20.6* | |
| Kitchen BC (μg/m3)‡ | 75 | 3.9 | 0.1, 7.8* | |
| Personal BC (μg/m3)‡ | 73 | 4.2 | −0.5, 9.1 | |
| Stove type§ | Traditional | 54 | 24.6 | −33.4, 133.1 |
| Justa (ref) | 56 |
Cl: Confidence interval; PM2.5: fine particulate matter; CRP (C-reactive protein)
Sample size included only participants with both exposure and CRP. Models were adjusted for age, body mass index (BMI), number of assets (<2 or ≥2), electricity (yes/no), years of education (<6 or ≥6)
In continuous exposure models, CRP and measured pollution were both log transformed. Beta coefficients were entered into the formula ((1.25^β)-1) and multiplied by 100. We can interpret the estimate of the continuous pollution exposures as a percent increase in inflammatory marker for each 25% increase in exposure. Example: There is a 10.5% higher CRP level with a 25% higher personal PM2.5 concentration.
Inflammatory marker was log-transformed. Categorical variable beta coefficients were entered into the formula (e^β−1)*100). The estimates for the categorical measures of exposure can be interpreted as the percent difference in inflammatory marker when comparing traditional stove to the reference (Justa stove).
Significant at the 0.05 level