山东大学学报 (医学版) ›› 2022, Vol. 60 ›› Issue (8): 115-119.doi: 10.6040/j.issn.1671-7554.0.2022.0339
吴新莹1,2,冯一平1,2,常开锋3,贾贤杰4,薛付忠1,2
WU Xinying1,2, FENG Yiping1,2, CHANG Kaifeng3, JIA Xianjie4, XUE Fuzhong1,2
摘要: 目的 探讨绿色覆盖与癌症发病之间的因果关联。 方法 依托山东省健康医疗大数据平台,将平邑县居民电子健康档案、癌症监测数据和电子病历数据进行关联,构建癌症发病队列。以卫星遥感数据来源的归一化植被指数(NDVI)作为暴露指标,以癌症发病作为结局,首先采用广义线性混合模型(GLMM)探索绿色覆盖与癌症发病的关联关系,然后利用基于时间序列的阴性对照暴露(NCE-TS)方法进行因果关联分析。 结果 队列共纳入917 450人。2012~2015年平邑县共发生癌症9 157例,累积发病率为9.98‰。GLMM结果显示,NDVI每增加0.01,整体癌症发病风险降低26.42%(OR=0.7358,95%CI: 0.6417~0.8298);NCE-TS结果显示,与低水平NDVI区域相比,高水平NDVI区域的人群整体癌症的因果绝对风险降低2.651%(95%CI:-2.745%~-2.564%),肺癌、胃癌、食管癌、肝癌、结直肠癌、乳腺癌和宫颈癌的绝对风险降低0.147%~0.718%。 结论 绿色覆盖与癌症发病之间存在保护性因果关联,在癌症一级预防中应重视绿色覆盖这一生态环境要素。
中图分类号:
[1] 陈宏达, 郑荣寿, 王乐, 等. 2019年中国肿瘤流行病学研究进展[J]. 中华疾病控制杂志, 2020, 24(4): 373-379. CHEN Hongda, ZHENG Rongshou, WANG Le, et al. Progress in cancer epidemiology research in China in 2019 [J]. Chinese Journal of Disease Control & Prevention, 2020, 24(4): 373-379. [2] 韩仁强, 周金意, 张思维, 等. 2015年中国脑瘤发病与死亡分析[J]. 中国肿瘤, 2021, 30(1): 29-34. HAN Renqiang, ZHOU Jinyi, ZHANG Siwei, et al. Incidence and mortality of brain tumor in China, 2015 [J]. China Cancer, 2021, 30(1): 29-34. [3] Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries [J]. CA Cancer J Clin, 2021, 71(3): 209-249. [4] Cao W, Chen HD, Yu YW, et al. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020[J]. Chin Med J(Engl), 2021, 134(7): 783-791. [5] Zhou M, Wang H, Zeng X, et al. Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 [J]. Lancet, 2019, 394(10204): 1145-1158. [6] 曹毛毛, 陈万青. 中国恶性肿瘤流行情况及防现状[J]. 中国肿瘤临床, 2019, 46(3): 145-149. CAO Maomao, CHEN Wanqing. Epidemiology of cancer in China and the current status of prevention and control [J]. Chinese Journal of clinical oncology, 2019, 46(3): 145-149. [7] Vineis P, Wild CP. Global cancer patterns: causes and prevention [J]. Lancet, 2014, 383(9916): 549-557. [8] Sun D, Li H, Cao M, et al. Cancer burden in China: trends, risk factors and prevention [J]. Cancer Biol Med, 2020, 17(4): 879-895. [9] Jagai JS, Messer LC, Rappazzo KM, et.al. County-level cumulative environmental quality associated with cancer incidence [J]. Cancer, 2017, 123(15): 2901-2908. [10] Markevych I, Schoierer J, Hartig T, et al. Exploring pathways linking greenspace to health: theoretical and methodological guidance [J]. Environ Res, 2017, 158: 301-317. doi: 10.1016/j.envres.2017.06.028. [11] 屠星月, 黄甘霖, 邬建国.城市绿地可达性和居民福祉关系研究综述[J]. 生态学报, 2019, 39(2): 421-431. TU Xingyue, HUANG Ganlin, WU Jianguo. Review of the relationship between urban greenspace accessibility and human well-being [J]. Acta Ecologica Sinica, 2019, 39(2): 421-431. [12] Wu KS, Huo X, Zhu GH. Relationships between esophageal cancer and spatial environment factors by using Geographic Information System [J]. Sci Total Environ, 2008, 393(2-3): 219-225. [13] Wang L, Zhao X, Xu W, Tang J, Jiang X. Correlation analysis of lung cancer and urban spatial factor: based on survey in Shanghai [J]. J Thorac Dis, 2016, 8(9): 2626-2637. [14] OCallaghan-Gordo C, Kogevinas M, Cirach M, et al. Residential proximity to green spaces and breast cancer risk: The multicase-control study in Spain(MCC-Spain)[J]. Int J Hyg Environ Health, 2018, 221(8): 1097-1106. [15] Zare Sakhvidi MJ, Yang J, Siemiatycki J, et al. Greenspace exposure and cancer incidence: A 27-year follow-up of the French GAZEL cohort [J]. Sci Total Environ, 2021, 787: 147553. doi:10.1016/j.scitotenv.2021.147553. [16] Demoury C, Thierry B, Richard H, et al. Residential greenness and risk of prostate cancer: A case-control study in Montreal, Canada [J]. Environ Int, 2017, 98: 129-136. doi:10.1016/j.envint.2016.10.024 [17] Porcherie M, Linn N, Le Gall AR, et al. Relationship between Urban Green Spaces and Cancer: A Scoping Review [J]. Int J Environ Res Public Health, 2021, 18(4): 1751. doi:10.3390/ijerph18041751. [18] Yu Y, Li H, Sun X, et al. Identification and estimation of causal effects using a negative-control exposure in time-series studies with applications to environmental epidemiology [J]. Am J Epidemiol, 2021,190(3): 468-476. [19] 易玲, 熊利亚, 杨小唤. 基于GIS技术的GDP空间化处理方法[J]. 甘肃科学学报, 2006, 18(2): 54-58. YI Ling, XIONG Liya, YANG Xiaohuan. Method of pixelizing GDP data based on the GIS [J]. Journal of Gansu Sciences, 2006, 18(2): 54-58. [20] Wei J, Li ZQ, Lyapustin A, et al. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications [J]. Remote Sensing of Environment, 2021, 252: 112136. doi:10.1016/j.rse.2020.112136. [21] 周婷, 兰蓝, 邱建青, 等. GEE、GLMM和MLM分析卫生重复测量资料的效果比较[J]. 现代预防医学, 2017, 44(16): 2881-2885+2899. ZHOU Ting, LAN Lan, QIU Jianqing, et al. Effect comparison of GEE, GLMM, and MLM in analyzing repeated measures of health-related field [J]. Modern Preventive Medicine, 2017, 44(16): 2881-2885+2899. [22] Bishehsari F, Mahdavinia M, Vacca M, et al. Epidemiological transition of colorectal cancer in developing countries: environmental factors, molecular pathways, and opportunities for prevention [J]. World J Gastroenterol, 2014, 20(20): 6055-6072. [23] 王兰, 廖舒文, 赵晓菁. 健康城市规划路径与要素辨析[J]. 国际城市规划, 2016, 31(4): 4-9. WANG Lan, LIAO Shuwen, ZHAO Xiaojing. Exploration of approaches and factors of healthy city planning [J]. Urban Planning International, 2016, 31(4): 4-9. [24] Datzmann T, Markevych I, Trautmann F, et al. Outdoor air pollution, green space, and cancer incidence in Saxony: a semi-individual cohort study [J]. BMC Public Health, 2018, 18(1): 715. doi: 10.1186/s12889-018-5615-2. [25] 董玉萍, 刘合林, 齐君. 城市绿地与居民健康关系研究进展[J]. 国际城市规划, 2020, 35(5): 70-79. DONG Yuping, LIU Helin, QI Jun. Progress of studies on the relationship between urban green space and public health [J]. Urban Planning International, 2020, 35(5): 70-79. [26] Huang Y, Zhu M, Ji M, et al. Air pollution, genetic factors, and the risk of lung cancer: a prospective study in the UK biobank [J]. Am J Respir Crit Care Med, 2021, 204(7): 817-825. [27] Eckerling A, Ricon-Becker I, Sorski L, et al. Stress and cancer: mechanisms, significance and future directions [J]. Nat Rev Cancer, 2021, 21(12): 767-785. [28] McTiernan A, Friedenreich CM, Katzmarzyk PT, et al. Physical activity in cancer prevention and survival: a systematic review [J]. Med Sci Sports Exerc, 2019, 51(6): 1252-1261. [29] Rhew IC, Vander Stoep A, Kearney A, et al. Validation of the normalized difference vegetation index as a measure of neighborhood greenness[J]. Ann Epidemiol, 2011, 21(12): 946-952. |
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