Gittins Matthew, McNamee Roseanne, Carder Melanie, Beverland Iain, Agius Raymond M
Biostatistics Group, University of Manchester, Jean McFarlane Building, Oxford Road, Manchester M13 9PL, England, UK.
Environ Health. 2013 Nov 7;12:97. doi: 10.1186/1476-069X-12-97.
Short-term associations have been demonstrated between air pollution and respiratory mortality including pneumonia. Studies typically estimate exposure based only on place of residence, yet many are in hospital prior to death. This study investigates lag length and tests the hypothesis that the effect of 'black smoke' is greater when restricted to pneumonia deaths in the community - Community Deaths from Pneumonia.
A time-stratified case-crossover design using conditional logistic regression estimated the daily percentage increase in risk of pneumonia mortality in relation to 'black smoke' in the preceding 30 days. Cases were pneumonia deaths in Edinburgh 1981-1996. Multiple 'control' periods, were defined using the same weekdays for the same month as the case death. Lag structure was investigated by a stratified lag model with five 6-day periods and by distributed lag models. Hospital admissions data, defined a community death as someone who had not been in hospital in any of the 30 days before death.
Of 14,346 subjects who died from pneumonia, 7,536 were community deaths. Larger estimated increases in risks were seen in the community for all lag periods. Both stratified and distributed lag methods suggested positive effect estimates for 18 days after exposure and negative thereafter; the average percent increase per day across the 18 days was 0.70% (95% C.I. 0.29-1.14) for community subjects and 0.30% (95% C.I. 0.03-0.59) for all subjects.
Studies which fail to account for hospitalisation may underestimate exposure effects as stronger pollution effects on mortality were evident in community based subjects.
空气污染与包括肺炎在内的呼吸道死亡率之间已证实存在短期关联。研究通常仅根据居住地来估计暴露情况,但许多人在死亡前是住院患者。本研究调查了滞后时长,并检验了这样一个假设:当仅限于社区肺炎死亡(社区肺炎死亡)时,“黑烟”的影响更大。
采用条件逻辑回归的时间分层病例交叉设计,估计了前30天内“黑烟”导致肺炎死亡风险的每日百分比增加情况。病例为1981 - 1996年爱丁堡的肺炎死亡病例。使用与病例死亡同月的相同工作日定义多个“对照”期。通过一个具有五个6天周期的分层滞后模型和分布滞后模型研究滞后结构。医院入院数据将社区死亡定义为在死亡前30天内未住院的人。
在14346例死于肺炎的受试者中,7536例为社区死亡。在所有滞后期间,社区中估计的风险增加幅度更大。分层和分布滞后方法均表明,暴露后18天的效应估计为正,此后为负;社区受试者在这18天内每天的平均百分比增加为0.70%(95%置信区间0.29 - 1.14),所有受试者为0.30%(95%置信区间0.03 - 0.59)。
未考虑住院情况的研究可能会低估暴露效应,因为在基于社区的受试者中,污染对死亡率的更强影响是明显的。