“…Briefly, the results of the QGC method include the effects of mixtures and the weight (importance) of individual exposures, and more details of these analyses are presented in Supplementary Materials. Since the effect of PM 2.5 might be modified by population characteristics such as age, gender, and BMI, [13] stratified analyses were further conducted by age groups (<65 years and ≥65 years), gender, education levels, per capita monthly income, and BMI groups (<24 kg/m 2 and ≥24 kg/m 2 ) in the present study, and the potential effect modifications were evaluated by multiplicative interactions. In addition, according to previous studies [18,19], biological relevance, and findings of the univariate analyses, the multivariable adjustment models adjusted age, gender, marital status, education level, per capita monthly income, physical activity, smoking and drinking status, high-fat diet, adequate vegetable and fruit intake, and BMI.…”