Analysis on the impact of meteorological factors on the outpatient volume of chronic obstructive pulmonary disease in Urumqi City
WU Di1, MAILIMAN Bahani1, NIE Yan-wu1, YANG Zhen1, ZHANG Li-ping2
1. School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang 830017, China; 2. School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, Xinjiang 830017, China
Abstract:Objective To explore the influence and lagging effect of meteorological factors on the outpatient visits of chronic obstructive pulmonary disease (COPD) in Urumqi City. Methods Distributed lag non-linear models (DLNM) were established to control the long-term effect of time, the day of the week effect and air pollutants (O3,PM10) related confounding factors, the exposure-lag-effect relationship between meteorological factors and the outpatient volume of COPD was discussed, and the effect of meteorological factors on the outpatient volume of COPD in different populations was explored through subgroup analysis. Results The average daily temperature and the outpatient volume of COPD showed a U-shaped pattern, and the relative risks (RRs) at low temperature and high temperature were both greater than 1. At -25 ℃ and a lag of 0 day, the daily outpatient effect value of COPD in men aged ≥65 years was the largest (RR=1.223, 95%CI:1.100-1.360). Relative humidity showed an anti-J pattern to the cumulative risk of COPD clinic visits at a lag of 0-6 days, and the risk of outpatient visitsincreased with the decrease of relative humidity. Conclusion There are greater risks for COPD outpatient visits in the ≥65 year olds when affecting by average daily temperature and relative humidity.The effect of hypothermia on the risk of COPD outpatient visits in males aged ≥ 65 years is the greatest on the day of exposure. The effect of low humidity on the risk of COPD outpatient visits in females aged ≥65 years is the greatest on the day of exposure.
武迪, 买力曼·巴哈尼, 聂艳武, 杨振, 张利萍. 气象因素对乌鲁木齐市慢阻肺门诊量的影响分析[J]. 实用预防医学, 2023, 30(6): 677-682.
WU Di, MAILIMAN Bahani, NIE Yan-wu, YANG Zhen, ZHANG Li-ping. Analysis on the impact of meteorological factors on the outpatient volume of chronic obstructive pulmonary disease in Urumqi City. , 2023, 30(6): 677-682.
[1] 王晓娟, 方向阳. 慢性阻塞性肺病全球倡议2019:慢性阻塞性肺病疾病诊断、治疗与预防全球策略解读[J]. 中国全科医学, 2019, 22(18):2141-2149. [2] 李亚琳, 杨艳丽. 慢性阻塞性肺病与气候因素研究[J]. 中国卫生产业, 2014,11(32):167-168. [3] Gao J,Prasad N. Chronic obstructive pulmonary disease in China: the potential role of indacaterol[J]. J Thorac Dis, 2013, 5(4):549-558. [4] 刘威, 龙政, 由金玲, 等.2019年中国居民慢性阻塞性肺疾病死亡地点及影响因素分析[J].中国慢性病预防与控制, 2021,29(8):561-566. [5] 阴俊, 谈建国, 竺丽明, 等. 不同地区慢性阻塞性肺病与气象因子相关性分析[J]. 气象科技, 2007, 35(6) : 841-844. [6] 孟紫强, 张剑, 耿红, 等. 沙尘暴对呼吸及循环系统疾病日门诊量的影响[J]. 中国环境科学, 2007, 27(1):116-120. [7] Lin S,Luo M,Randi J,et al. Extreme high temperatures and hospital admissions for respiratory and cardiovascular diseases[J]. Epidemiol, 2009, 20(5):738-746. [8] Anderson GB, Dominici F, Wang Y,et al. Heat-related emergency hospitalizations for respiratory diseases in the Medicare population[J]. Am J Resp Crit Care, 2013, 187(10):1098-1103. [9] Miguel-Diez JD, Lopez-Herranz M, R Jiménez-García, et al. Effect of COPD on the hospital outcomes and mortality among hemorrhagic stroke patients. Sex differences in a population-based study[J]. J Clin Med, 2021, 10(11):2491. [10] Fernández-García A,Pérez-Ríos M,Fernández-Villar A, et al. Four decades of COPD mortality trends: analysis of trends and multiple causes of death[J]. J Clin Med, 2021, 10(5):1117. [11] Reyes FM, Hache-Marliere M, Karamanis D, et al. Assessment of the association of COPD and asthma with in-hospital mortality in patients with COVID-19. A systematic review, meta-analysis, and meta-regression analysis[J]. J Clin Med, 2021, 10(10):2087. [12] Gasparrini A,Armstrong B,Kenward MG. Distributed lag non-linear models[J]. Stat Med, 2010, 29(21):2224-2234. [13] Gasparrini A,Armstrong B,Kenward MG. Multivariate meta-analysis for non-linear and other multi-parameter associations [J]. Stat Med, 2012, 31(29):3821-39. [14] 杨军, 欧春泉, 丁研, 等. 分布滞后非线性模型[J]. 中国卫生统计, 2012, 29(5):772-773, 777. [15] Borsi SH,Khodadadi N,Khanjani N,et al. Physiological equivalent temperature (PET) index and respiratory hospital admissions in Ahvaz, southwest of Iran[J]. Environ Sci Pollut R, 2021, 28(37):51888-51896. [16] Yao JY,Brauer M,Wei J,et al. Sub-daily exposure to fine particulate matter and ambulance dispatches during wildfire seasons: a case-crossover study in British Columbia, Canada[J].Environ Health Persp, 2020, 128(6):1-10. [17] Vanos JK, Cakmak S, Kalkstein LS, et al. Association of weather and air pollution interactions on daily mortality in 12 Canadian cities [J]. Air Qual Atmos Hlth, 2015, 8(3):307. [18] Luan GJ, Yin P, Wang LJ, et al. Association between ambient temperature and chronic obstructive pulmonary disease: a population-based study of the years of life lost[J]. Int J Environ Heal R, 2019, 29(3):246-254. [19] Feng FL,Ma YX,Zhang YF,et al. Effects of extreme temperature on respiratory diseases in Lanzhou, a temperate climate city of China[J]. Environ Sci Pollut R, 2021, 28(35):49278-49288. [20] Li M, Chen SQ, Zhao HQ, et al. The short-term associations of chronic obstructive pulmonary disease hospitalizations with meteorological factors and air pollutants in Southwest China: a time series study[J]. Sci Rep-UK, 2021, 11(1):12914. [21] 张静, 石春蕊, 廖蓓, 等. 基于分布滞后非线性模型分析气温对兰州市荨麻疹门诊人次的影响[J].中国医学科学院学报, 2021, 43(5):727-735. [22] 韩晓丽. 庆阳农村地区气象因素、大气污染与慢性阻塞性肺病急性加重的关联性研究[D]. 兰州:兰州大学, 2020. [23] 张泳巧. 气温变化对北京地区居民急性心肌梗死发病和慢性阻塞性肺疾病急性加重住院风险影响的研究[D].北京:北京协和医学院,2021. [24] Ivan S,Milena J,Jasmina J. Association between ambient air pollution, meteorological conditions and exacerbations of asthma and chronic obstructive pulmonarydisease in adult citizens of the town of Smederevo[J]. Vojnosanit Pregl, 2016, 73(2):152-158. [25] 滕婉莹, 马龙, 杨浩峰. 2016—2018年乌鲁木齐市日均气温对呼吸系统疾病的影响[J].实用预防医学, 2021,28(8):937-942. [26] Almagro P,Hernandez C,Martinez-Cambor P, et al. Seasonality, ambient temperatures and hospitalizations for acute exacerbation of COPD: a population-based study in a metropolitan area[J]. Int J Chronic Obstr, 2015, 10:899-908. [27] Paul KS, Chan HY, Mok TC, et al. Seasonal influenza activity in Hong Kong and its association with meteorological variations[J]. J Med Virol, 2009, 81(10):1797-1806.