2023 World Conference on Lung Cancer (Posters)-EP01.01. Occupational Exposure and Lung Cancer Risk in Women: A Pooling Study

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The objective of this study was to examine the role of occupation in the risk of lung cancer in women in Spain. The study included 1,262 women, with 618 cases of lung cancer and 644 controls. Logistic regression was used to assess the association between occupation and lung cancer risk.<br /><br />The results showed that occupational carcinogens were a significant risk factor for women. Compared to white collar workers, women in agriculture, farming, gardening, housewives, kitchen personnel, commerce, education, domestic and cleaning staff, and textile industries had increased odds ratios for lung cancer. Fishmongers had the highest odds ratio of 16.82. It is important to note that these results were adjusted for age, tobacco use, and radon concentration.<br /><br />The study suggests that preventive measures and appropriate regulations are needed to reduce the occupational exposure to carcinogens and lower the risk of lung cancer in women. It highlights the need for specific attention to occupational health and safety practices in different industries.<br /><br />The findings of this study contribute to the understanding of the relationship between occupation and lung cancer in women. It emphasizes the importance of considering occupational exposures as a risk factor for lung cancer, in addition to tobacco consumption. <br /><br />The study was conducted by researchers from the University of Santiago de Compostela in Spain, pooling data from four case-control studies conducted between 1992 and 2020. The study provides valuable insights for policymakers, healthcare professionals, and occupational health practitioners in developing strategies to reduce the risk of lung cancer in women.

Asset Subtitle

Cristina Candal-Pedreira

Meta Tag

Speaker Cristina Candal-Pedreira

Topic Risk Factors, Risk Reduction & Tobacco Control

Keywords

occupation

risk

lung cancer

women

Spain

carcinogens

odds ratios

white collar workers

preventive measures

occupational exposure