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Chronic individual exposures to nitrogen dioxide (NO\n                      <jats:sub>2<\/jats:sub>\n                      ), nitrogen oxides, particulate matter with median aerodynamic diameters &lt;2.5 (PM\n                      <jats:sub>2.5<\/jats:sub>\n                      ), PM\n                      <jats:sub>10<\/jats:sub>\n                      , PM\n                      <jats:sub>coarse<\/jats:sub>\n                      and PM\n                      <jats:sub>2.5 absorbance<\/jats:sub>\n                      based on European Study of Cohorts for Air Pollution Effects land-use regression models were used. Main and interaction effects between the genetic risk score (77 single-nucleotide polymorphisms (SNPs) related to successful ageing) and air pollutant exposures were investigated using adjusted logistic regression models.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In 560\u2009women (67\u201380 years), chronic lung disease was present in 156. Higher exposure to air pollution was associated with increased odds by up to 43% per IQR-increase in NO\n                      <jats:sub>2<\/jats:sub>\n                      (IQR=11.6\u2009\u00b5g\/m\u00b3, 95% CI 1.15\u2009to 1.77). The genetic make-up reduced the negative impact of air pollution (gene\u2013environment interaction with NO\n                      <jats:sub>2<\/jats:sub>\n                      : OR=0.66, 95% CI 0.45\u2009to 0.96), while a healthy lifestyle further strengthens this association.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In elderly women, genetic predisposition based on successful ageing SNPs likely reduces the negative impact of air pollution on chronic lung disease, while a healthy lifestyle further strengthens this association.<\/jats:p>\n                  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