Population Health Laboratory (#PopHealthLab), University of Fribourg, Route Des Arsenaux 41, CH-1700, Fribourg, Switzerland.
Quality of Care Service, University Hospitals of Geneva, Geneva, Switzerland.
Sci Rep. 2024 Aug 30;14(1):20224. doi: 10.1038/s41598-024-70909-2.
Working life is associated with lifestyle, screening uptake, and occupational health risks that may explain differences in cancer onset. To better understand the association between working life and cancer risk, we need to account for the entire employment history. We investigated whether lifetime employment trajectories are associated with cancer risk. We used data from 6809 women and 5716 men, average age 70 years, from the Survey of Health, Ageing, and Retirement in Europe. Employment history from age 16 to 65 was collected retrospectively using a life calendar and trajectories were constructed using sequence analysis. Associations between employment trajectories and self-reported cancer were assessed using logistic regression. We identified eight employment trajectories for women and two for men. Among women, the risk of cancer was higher in the trajectories "Mainly full-time to home/family", "Full-time or home/family to part-time", "Mainly full-time", and "Other" compared with the "Mainly home/family" trajectory. Among men, the risk of cancer was lower in the "Mainly self-employment" trajectory compared with "Mainly full-time". We could show how employment trajectories were associated with cancer risk, underlining the potential of sequence analysis for life course epidemiology. More research is needed to understand these associations and determine if causal relationships exist.
工作生涯与生活方式、筛查参与度和职业健康风险有关,这些因素可能解释了癌症发病的差异。为了更好地理解工作生涯与癌症风险之间的关系,我们需要考虑整个就业历史。我们研究了终身就业轨迹是否与癌症风险相关。我们使用了来自欧洲健康、衰老和退休调查的 6809 名女性和 5716 名男性的数据,平均年龄为 70 岁。使用生活日历回顾性地收集了从 16 岁到 65 岁的就业历史,并使用序列分析构建了轨迹。使用逻辑回归评估了就业轨迹与自我报告癌症之间的关联。我们确定了女性的八个就业轨迹和男性的两个就业轨迹。在女性中,与“主要全职到家庭/家庭”、“全职或家庭/家庭到兼职”、“主要全职”和“其他”轨迹相比,“主要家庭/家庭”轨迹的癌症风险更高。在男性中,与“主要全职”相比,“主要自营职业”轨迹的癌症风险较低。我们可以展示就业轨迹如何与癌症风险相关,强调序列分析在生命历程流行病学中的潜力。需要进一步的研究来理解这些关联,并确定是否存在因果关系。