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. 2021 Mar 24;129(3):037005. doi: 10.1289/EHP8719

Figure 3.

Figure 3 is a set of two forest plots titled black carbon and particulate matter begin subscript 2.5 end subscript plotting from top to bottom, main analysis, including all (main model) and sensitivity analyses, including all (main model further adjusted for deprivation), using all non-lung cases as controls, using only address-level geocodes, participants with a follow-up longer than 20 years, using only complete cases data, considering missing data as a category, and imputing missing data as the median or mode (y-axis) across hazard ratio, ranging from 1.0 to 2.0 in increments of 0.5 (x-axis), respectively, for cases and person years.

Associations between cumulative black carbon (left) and PM2.5 (right) and lung incident cancer in the main and sensitivity analyses in the Gazel cohort, with the number of identified cancer cases among the number of participant-year over the follow-up. Hazard ratios and confidence intervals expressed for one IQR increase in ln-transformed cumulative exposure to black carbon or PM2.5 in separate single-pollutant Cox model with attained age as underlying time-scale and time-dependent variables, adjusted for sex, cumulative smoking pack-years, passive smoking, alcohol use, BMI, education, socioeconomic status, family status, fruit and vegetable consumption, occupational exposure to lung carcinogens, age at inclusion and calendar time. Exposures were lagged 10 y. Participants were excluded from the analysis if they were diagnosed with cancer before 1999. See Table S5 for corresponding numeric data. Unless specified otherwise, these model-based estimates were computed using MICE to address missing data and were pooled following Rubin’s rules. Note: BMI, body mass index; IQR, interquartile range.