ABSTRACT
BACKGROUND: Occupation is an important risk factor for lung cancer. This knowledge is mainly based on studies conducted on men, with the results being generalized to women. AIMS: We aimed to identify the relationship between different occupations and lung cancer in women. METHODS: Pooling study in which data were pooled from six case-control studies conducted at 13 Spanish hospitals and 1 hospital in Portugal. Each woman's longest held job was coded as per the ISCO-08. Results were adjusted for age, smoking, and exposure to residential radon. RESULTS: The study population comprised 1262 women: 618 cases and 644 controls. The reference group were white-collar workers. The adjusted multivariate analysis showed a higher risk of developing lung cancer among teaching professionals (odds ratio [OR]: 4.36; 95% confidence interval [CI] 1.73-11.02), cooks (OR: 3.59; 95% CI 1.52-8.48), domestic cleaners and helpers (OR: 2.98; 95% CI 1.54-5.78), homemakers (OR: 2.30; 95% CI 1.26-4.21) and crop farmers, livestock farmers and gardeners (OR: 2.06, 95% CI: 1.11-3.81). For adenocarcinoma, the highest risk was observed in teaching professionals, and for small-cell carcinoma, the highest risk was observed in cooks. Higher risks were observed for small-cell carcinoma compared to other histological types. CONCLUSIONS: Some occupations may be associated with an increased risk of lung cancer in women and this risk could vary by histologic subtype; however, further research is needed to confirm these associations. In any case, protection measures must be implemented in the workplace aimed at reducing the risk of lung cancer among women workers, and more studies exclusively focused on women are warranted.
ABSTRACT
OBJECTIVES: The aim of this study was to estimate smoking-attributable mortality (SAM) in the population aged 35 years and over in Brazil's 27 federal units by sex, in 2019. STUDY DESIGN: This is an attributable mortality analysis. METHODS: We applied a method dependent on the prevalence of smoking, based on the population attributable fractions. Data on mortality due to causes causally related to smoking were derived from Brazil's Death Registry, data on prevalence of smoking from a survey conducted in Brazil in 2019, and data on relative risks from five US cohorts. Crude and age-adjusted SAM rates were calculated by sex. Estimates of SAM were calculated by specific causes of death and major mortality groups for each federal unit by sex. RESULTS: In 2019, smoking caused 480 deaths per day in Brazil. Although the SAM varied among the federal units, the pattern is not clear, with the greatest difference being between Rio Grande do Sul (crude rate: 248.8/100,000 inhabitants) and Amazonas (106.0/100,000). When the rates were adjusted by age, the greatest differences were observed between Acre (271.1/100,000) and Distrito Federal (131.1/100,000). SAM was higher in males; however, while the main specific cause of SAM in men was ischemic heart disease, in women it was chronic obstructive pulmonary disease. The major mortality group having the greatest impact on SAM across all federal units was the cardiometabolic diseases. CONCLUSIONS: The variability in the burden of SAM in the different regions of Brazil reaffirms the need for SAM data disaggregated at the geographic level.
