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第4部分. 空气污染与呼吸道病毒之间的相互作用:香港每日死亡率和住院人数的时间序列研究。

Part 4. Interaction between air pollution and respiratory viruses: time-series study of daily mortality and hospital admissions in Hong Kong.

作者信息

Wong Chit-Ming, Thach Thuan Quoc, Chau Patsy Yuen Kwan, Chan Eric King Pan, Chung Roger Yat-nork, Ou Chun-Quan, Yang Lin, Peiris Joseph Sriyal Malik, Thomas Graham Neil, Lam Tai-Hing, Wong Tze-Wai, Hedley Anthony Johnson

机构信息

Department of Community Medicine, School of Public Health, The University of Hong Kong, Hong Kong SAR, China.

出版信息

Res Rep Health Eff Inst. 2010 Nov(154):283-362.

Abstract

BACKGROUND

Populations in Asia are not only at risk of harm to their health through environmental degradation as a result of worsening pollution problems but also constantly threatened by recurring and emerging influenza epidemics and. pandemics. Situated in the area with the world's fastest growing economy and close to hypothetical epicenters of influenza transmission, Hong Kong offers a special opportunity for testing environmental management and public health surveillance in the region. In the Public Health and Air Pollution in Asia (PAPA*) project, the Hong Kong research team assessed the health effects of air pollution and influenza as well as the interaction between them. The team also assessed disparities in the health effects of air pollution between relatively deprived and more affluent areas in Hong Kong. The aim was to provide answers to outstanding research questions relating to the short-term effects of air pollution on mortality and hospital admissions; the health effects of influenza with a view to validating different measures of influenza activity according to virologic data; the confounding effects of influenza on estimates of the health effects of air pollution; the modifying effects of influenza on the health effects of air pollution; and the modifying effects of neighborhood social deprivation on the health effects of air pollution.

DATA

Data on mortality and hospital admissions for all natural causes, as well as the subcategories of cardiovascular diseases (CVD) and respiratory diseases (RD), were derived from the Hong Kong Census and Statistics Department and the Hospital Authority. Daily concentrations of nitrogen dioxide (NO2), sulfur dioxide (SO2), particulate matter with an aerodynamic diameter < or = 10 pm (PM10); and ozone (O3) were derived from eight monitoring stations with hourly data that were at least 75% complete during the study period. Three measures of influenza and respiratory syncytial virus (RSV) activity were derived from positive isolates of specimens in the virology laboratory of Queen Mary Hospital (QMH), the main clinical teaching center at The University of Hong Kong and part of the Hong Kong Hospital Authority network of teaching hospitals: influenza intensity (defined as the weekly proportion of positive isolates of influenza in the total number of specimens received for diagnostic tests); the presence of influenza epidemic (defined as a period when the weekly frequency of these positive isolates is > or = 4% of the annual total number of positive isolates [i.e., twice the expected mean value] in two or more consecutive weeks); and influenza predominance (defined as a period of influenza epidemic when the weekly frequency of RSV was less than 2% for two or more consecutive weeks). The weekly proportion of positive isolates of RSV in total specimens was determined in the same way as for influenza intensity. A social deprivation index (SDI) was defined by taking the average of the proportions of households or persons with the following six characteristics in each geographic area using the census statistics: unemployment; household income < U.S. $250 per month; no schooling at all; never-married status; one-person household; and subtenancy. A Poisson regression with quasi-likelihood to account for overdispersion was used to develop core models for daily health outcomes, with a natural spline smoothing function to filter out seasonal patterns and long-term trends in this time-series study of daily mortality and hospital admissions, and with adjustment for days of the week, temperature, and relative humidity (RH). Air pollutant concentration values were entered into the core model to assess the health effects of specific pollutants. The possible confounding effects of influenza were assessed by observing changes in magnitude of the effect estimate when each influenza measurement was entered into the model; and interactions between air pollution and influenza were assessed by entering the terms for the product of the air pollutant concentration and a measurement of influenza activity into the model. A Poisson regression analysis was performed to assess the effects of air pollution in each area belonging to low, middle, or high social deprivation strata according to the tertiles of the SDI. The differences in air pollution effects were tested by a case-only approach. RESULTS The excess risk (ER) estimates for the short-term effects of air pollution on mortality and hospitalization for broad categories of disease were greater in those 65 years and older than in the all-ages group and were consistent with other studies. The biggest health impacts were seen at the extremes of the age range. The three measures employed for influenza activity based on virologic data-one based on a proportion and the other two using frequencies of positive influenza isolates-were found to produce consistent health impact estimates, in terms of statistical significance. In general, we found that adjustment for influenza activity in air pollution health effect estimations took account of relatively small confounding effects. However, we conclude that it is worthwhile to make the adjustment in a sensitivity analysis and to obtain the best possible range of effect estimates from the data, especially for respiratory hospitalization. Interestingly, interaction effects were found between influenza activity and air pollution in the estimated risks for hospitalization for RD, particularly for 03. These results could be explained in terms of the detrimental effects of both influenza viruses and air pollutants, which may be synergistic or competing with each other, though the mechanism is still unknown. The results deserve further study and the attention of both public health policy makers and virologists in considering prevention strategies. IMPLICATIONS In Hong Kong, where air pollution may pose more of a health threat than in North American and Western European cities, the effects of air pollution also interact with influenza and with residence in socially deprived areas, potentially leading to additional harm. Asian governments should be aware of the combined risks to the health of the population when considering environmental protection and management in the context of economic, urban, and infrastructure development. This is the first study in Asia to examine the interactions between air pollution, influenza, and social deprivation from an epidemiologic perspective. The biologic mechanisms are still unclear, and further research is needed.

摘要

背景

亚洲人群不仅因污染问题恶化导致的环境退化而面临健康危害风险,还不断受到反复出现和新出现的流感疫情及大流行的威胁。香港地处世界经济增长最快的地区,且靠近流感传播的假设中心,为测试该地区的环境管理和公共卫生监测提供了特殊机会。在“亚洲公共卫生与空气污染”(PAPA*)项目中,香港研究团队评估了空气污染和流感对健康的影响以及它们之间的相互作用。该团队还评估了香港相对贫困地区和较富裕地区空气污染对健康影响的差异。目的是回答与空气污染对死亡率和住院率的短期影响、流感对健康的影响(以便根据病毒学数据验证不同的流感活动衡量指标)、流感对空气污染健康影响估计的混杂效应、流感对空气污染健康影响的修正效应以及社区社会剥夺对空气污染健康影响的修正效应相关的未解决研究问题。

数据

所有自然原因导致的死亡率和住院率数据,以及心血管疾病(CVD)和呼吸系统疾病(RD)的子类别数据,均来自香港政府统计处和医院管理局。二氧化氮(NO₂)、二氧化硫(SO₂)、空气动力学直径≤10微米的颗粒物(PM₁₀)和臭氧(O₃)的每日浓度数据来自八个监测站,这些监测站在研究期间每小时的数据完整性至少为75%。三种流感和呼吸道合胞病毒(RSV)活动衡量指标来自玛丽医院病毒学实验室的阳性标本分离株,玛丽医院是香港大学的主要临床教学中心,也是香港医院管理局教学医院网络的一部分:流感强度(定义为诊断测试接收标本总数中流感阳性分离株的每周比例);流感流行情况(定义为这些阳性分离株的每周频率在连续两周或更长时间内≥年度阳性分离株总数的4%[即预期平均值的两倍]的时期);流感优势(定义为流感流行时期,即RSV的每周频率在连续两周或更长时间内小于2%)。RSV在总标本中的阳性分离株每周比例与流感强度的确定方式相同。社会剥夺指数(SDI)通过使用人口普查统计数据,取每个地理区域具有以下六个特征的家庭或人口比例的平均值来定义:失业;家庭收入<每月250美元;未接受任何教育;从未结婚;单人家庭;以及转租。使用具有拟似然性以考虑过度分散的泊松回归来建立每日健康结果的核心模型,在这个每日死亡率和住院率的时间序列研究中,使用自然样条平滑函数来滤除季节性模式和长期趋势,并对一周中的日期、温度和相对湿度(RH)进行调整。将空气污染物浓度值输入核心模型以评估特定污染物对健康的影响。通过观察将每个流感测量值输入模型时效应估计值大小的变化来评估流感的可能混杂效应;通过将空气污染物浓度与流感活动测量值的乘积项输入模型来评估空气污染与流感之间的相互作用。根据SDI的三分位数,对属于低、中或高社会剥夺阶层的每个地区进行泊松回归分析以评估空气污染的影响。通过仅病例方法测试空气污染影响的差异。结果空气污染对广泛疾病类别死亡率和住院率的短期影响的超额风险(ER)估计在65岁及以上人群中高于全年龄组,且与其他研究一致。在年龄范围的两端观察到最大的健康影响。基于病毒学数据用于流感活动测量的三种指标——一种基于比例,另外两种使用流感阳性分离株的频率——在统计显著性方面产生了一致的健康影响估计。总体而言,我们发现空气污染健康影响估计中对流感活动的调整考虑了相对较小的混杂效应。然而,我们得出结论,在敏感性分析中进行调整并从数据中获得尽可能最佳的效应估计范围是值得的,特别是对于呼吸道住院情况。有趣的是,在RD住院风险估计中发现流感活动与空气污染之间存在相互作用效应,特别是对于O₃。这些结果可以从流感病毒和空气污染物的有害影响方面来解释,它们可能是协同的或相互竞争的,尽管机制仍然未知。这些结果值得进一步研究,并且在考虑预防策略时值得公共卫生政策制定者和病毒学家关注。

启示

在香港,空气污染可能比北美和西欧城市对健康构成更大威胁,空气污染的影响还与流感以及居住在社会剥夺地区相互作用,可能导致额外危害。亚洲各国政府在经济、城市和基础设施发展背景下考虑环境保护和管理时,应意识到对民众健康的综合风险。这是亚洲第一项从流行病学角度研究空气污染、流感和社会剥夺之间相互作用的研究。生物学机制仍不清楚,需要进一步研究。

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