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山东大学学报 (医学版) ›› 2023, Vol. 61 ›› Issue (8): 94-100.doi: 10.6040/j.issn.1671-7554.0.2022.1153

• 公共卫生与管理学 • 上一篇    

植被覆盖与呼吸系统恶性肿瘤死亡风险关联分析

卢伟1,2,刘欢3,贾贤杰1,4,苏萍5,施婕1,2,王雅倩1,2,迟蔚蔚1,2,5   

  1. 1.山东大学齐鲁医学院公共卫生学院, 山东 济南 250012;2.国家健康医疗大数据研究院, 山东 济南 250003;3.平邑县疾病预防控制中心慢病科, 山东 平邑 273300;4.蚌埠医学院公共卫生学院流行病与卫生统计学教研室, 安徽 蚌埠 233000;5.山东健康医疗大数据管理中心, 山东 济南 250002
  • 发布日期:2023-08-30
  • 通讯作者: 迟蔚蔚. E-mail:nahdyw@shandong.cn
  • 基金资助:
    国家重点研发计划(2020YFC2003500)

Correlation between vegetation cover and death risk of respiratory cancers

LU Wei1,2, LIU Huan3, JIA Xianjie1,4, SU Ping5, SHI Jie1,2, WANG Yaqian1,2, CHI Weiwei1,2,5   

  1. 1. School of Public Health, Cheelo College of Medicine, Shandong University, Jinan 250012, Shandong, China;
    2. National Institute of Health Data Science of China, Jinan 250003, Shandong, China;
    3. Chronic Disease Department, Pingyi Center for Disease Control and Prevention, Pingyi 273300, Shandong, China;
    4. Department of Epidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu 233000, Anhui, China;
    5. National Administration of Health Data, Jinan 250002, Shandong, China
  • Published:2023-08-30

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摘要： 目的 评估植被覆盖与呼吸系统恶性肿瘤死亡风险之间的关联。 方法 以山东省平邑县呼吸系统恶性肿瘤患者为研究对象,将归一化差值植被指数(NDVI)、增强植被指数(EVI)、土壤调整植被指数(SAVI)作为植被覆盖测量指标,采用时依Cox比例风险回归模型,分别计算与呼吸系统恶性肿瘤死亡的风险比(HR)及其95%CI;并按年龄、性别、空气质量情况进行分层分析。 结果 2014—2020年,队列共纳入5 314例研究对象,因呼吸系统恶性肿瘤死亡3 594例;完全调整协变量的时依Cox比例风险回归模型分析显示,EVI、SAVI的T2水平与呼吸系统恶性肿瘤死亡风险存在负向关联(HR=0.871, 95%CI: 0.793~0.956, P=0.004;HR=0.885, 95%CI: 0.810~0.967, P=0.007);分层分析显示,在年龄≥60岁、女性以及生活在PM2.5浓度低于70 μg/m3的患者中,植被覆盖与呼吸系统恶性肿瘤死亡风险存在负向关联(P<均0.05)。 结论 在居住环境空气质量良好的情况下,较高的植被覆盖对于老年女性呼吸系统恶性肿瘤患者可能具有保护作用。

关键词: 植被覆盖, 呼吸系统恶性肿瘤, 时依Cox比例风险回归, 生存分析

Abstract: Objective To evaluate the relationship between vegetation cover and death risk of respiratory cancers. Methods Patients with respiratory cancers in Pingyi County were involved. Normalized difference vegetation index(NDVI), enhanced vegetation index(EVI), and soil-adjusted vegetation index(SAVI)were taken as indicators of vegetation cover. Extended time-dependent Cox proportional risk regression model was applied to calculate the hazard ratios(HR)and 95%CI for NDVI, EVI, and SAVI and death from respiratory cancers. Stratified analyses were conducted according to age, sex, and air quality. Results A total of 5,314 subjects were involved, including 3,594 deaths from respiratory cancers during 2014 and 2020. T2 levels of EVI and SAVI were negatively correlated with the risk of death of respiratory cancers(HR=0.871, 95%CI: 0.793-0.956, P=0.004; HR=0.885, 95%CI: 0.810-0.967, P=0.007). Stratified analysis showed negative association between vegetation cover and death risk of respiratory cancers in patients aged ≥60 years, female, and those living with PM2.5 concentrations below 70 μg/m3(all P<0.05). Conclusion Higher vegetation coverage may be protective for elderly female patients with respiratory cancers living in areas with good air quality.

Key words: Vegetation cover, Respiratory cancers, Time-dependent Cox proportional risk regression, Survival analysis

中图分类号: 

  • R181.3
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