Liang Di, Wang Jingxi, Li Daojuan, Shi Jin, Jing Jin, Shan Baoen, He Yutong
Cancer Institute in Hebei Province, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Front Oncol. 2019 Dec 10;9:1354. doi: 10.3389/fonc.2019.01354. eCollection 2019.
This study aimed at estimating the effects of epidemiological risk factors for lung cancer in never-smokers. A multicenter and matched case-control study was conducted in the cities of Shijiazhuang, Xingtai, Qinhuangdao, Baoding, and Chengde in North China. It comprised 1,086 cases and 2,172 healthy subjects as controls, all of whom had smoked fewer than 100 cigarettes in their lifetimes. Patients were newly diagnosed with lung cancer between January 2015 and December 2017. Each patient was matched to two control participants for sex and age (±5 years). Both univariate analysis and multivariate conditional logistic regression models were used to estimate the odds ratio (OR) and 95% confidence interval (95% CI). Subsequently, data were stratified by participant sex and different air quality conditions for analysis. Type of job, exposure to environmental tobacco smoke in the workplace or at home, above-average exposure to cooking oil fumes, depression, poor sleep quality, occupational exposure, cardiovascular diseases, and family history of cancer were revealed as significant risk factors for lung cancer in never-smokers. However, higher educational level, frequent use of a PM mask, cooking using clean fuels, and consumption of dietary supplements and tea reduced the risk of lung cancer. Risk factors varied between males and females. In areas with air pollution, the number of risk factors was greater than elsewhere, and the magnitudes of their effects were different. Hence, focusing on these risk factors is important for the prevention and control of lung cancer in never-smokers.
本研究旨在评估非吸烟者中肺癌的流行病学危险因素的影响。在中国北方的石家庄市、邢台市、秦皇岛市、保定市和承德市开展了一项多中心匹配病例对照研究。该研究包括1086例病例和2172名健康对照者,所有参与者终生吸烟均少于100支。患者为2015年1月至2017年12月期间新诊断的肺癌患者。每位患者按性别和年龄(±5岁)与两名对照参与者进行匹配。采用单因素分析和多因素条件逻辑回归模型来估计比值比(OR)和95%置信区间(95%CI)。随后,按参与者性别和不同空气质量状况对数据进行分层分析。工作类型、在工作场所或家中接触环境烟草烟雾、接触高于平均水平的烹饪油烟、抑郁、睡眠质量差、职业暴露、心血管疾病以及癌症家族史被揭示为非吸烟者患肺癌的显著危险因素。然而,较高的教育水平、频繁使用颗粒物防护口罩、使用清洁燃料烹饪以及食用膳食补充剂和茶可降低患肺癌的风险。危险因素在男性和女性之间存在差异。在空气污染地区,危险因素的数量多于其他地区,且其影响程度也不同。因此,关注这些危险因素对非吸烟者肺癌的预防和控制至关重要。