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Observational study

Oncology · Public Health · 4 h ago

European and Canadian study identifies occupations associated with lung cancer risk

A pooled analysis of 14 case–control studies used regularized regression to explore occupational associations with lung cancer. It included 13,587 male and 3,199 female cases, with corresponding control groups, and identified both positive and inverse associations after adjustment for smoking and known occupational carcinogens.

Researchers pooled data from 14 European and Canadian lung cancer case–control studies to explore associations with ever having worked in different occupations. The main analysis included 13,587 men with lung cancer and 16,410 male controls, and 3,199 women with lung cancer and 4,408 female controls. Two data-driven selection methods—a least absolute shrinkage and selection operator model and a Bayesian hierarchical horseshoe model—accounted for age, study, smoking and exposure to known occupational lung carcinogens. Logistic regression was then used to estimate odds ratios for selected occupations.

Among men, mining (OR 1.28, 95% CI 1.06–1.54) and bricklaying (OR 1.30, 95% CI 1.12–1.52) were consistently associated with higher lung cancer odds. Secondary education teachers (OR 0.37, 95% CI 0.22–0.60), production managers (OR 0.66, 95% CI 0.54–0.81) and government executive officials (OR 0.72, 95% CI 0.62–0.83) had inverse associations. Among women, secondary language and literature teachers (OR 0.39, 95% CI 0.20–0.72) and government executive officials (OR 0.63, 95% CI 0.48–0.81) had inverse associations.

The findings point to occupations that may warrant further investigation for unidentified workplace factors. The reported associations do not establish causation; the analysis was exploratory and based on case–control data.

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Source

International Journal of Epidemiology: Data-driven exploration of occupations and lung cancer risks using regularized regression models ↗

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