Item
SÃ¡ez Zafra, Marc
Figueiras, Adolfo Ballester, Ferran PÃ©rez Hoyos, Santiago OcaÃ±a, Ricardo TobÃas, Aurelio 

2001  
The objective of this paper is to introduce a diVerent approach, called the ecologicallongitudinal, to carrying out pooled analysis in time series ecological studies. Because it gives a larger number of data points and, hence, increases the statistical power of the analysis, this approach, unlike conventional ones, allows the complementation of aspects such as accommodation of random effect models, of lags, of interaction between pollutants and between pollutants and meteorological variables, that are hardly implemented in conventional approaches. Designâ€”The approach is illustrated by providing quantitative estimates of the shorttermeVects of air pollution on mortality in three Spanish cities, Barcelona,Valencia and Vigo, for the period 1992â€“1994. Because the dependent variable was a count, a Poisson generalised linear model was first specified. Several modelling issues are worth mentioning. Firstly, because the relations between mortality and explanatory variables were nonlinear, cubic splines were used for covariate control, leading to a generalised additive model, GAM. Secondly, the effects of the predictors on the response were allowed to occur with some lag. Thirdly, the residual autocorrelation, because of imperfect control, was controlled for by means of an autoregressive Poisson GAM. Finally, the longitudinal design demanded the consideration of the existence of individual heterogeneity, requiring the consideration of mixed models. Main resultsâ€”The estimates of the relative risks obtained from the individual analyses varied across cities, particularly those associated with sulphur dioxide. The highest relative risks corresponded to black smoke in Valencia. These estimates were higher than those obtained from the ecologicallongitudinal analysis. Relative risks estimated from this latter analysis were practically identical across cities, 1.00638 (95% confidence intervals 1.0002, 1.0011) for a black smoke increase of 10 Î¼g/m3 and 1.00415 (95% CI 1.0001, 1.0007) for a increase of 10 Î¼g/m3 of sulphur dioxide. Because the statistical power is higher than in the individual analysis more interactions were statistically significant,especially those among air pollutants and meteorological variables. Conclusionsâ€”Air pollutant levels were related to mortality in the three cities of the study, Barcelona, Valencia and Vigo. These results were consistent with similar studies in other cities, with other multicentric studies and coherent with both, previous individual, for each city, and multicentric studies for all three cities  
application/pdf  
Saez, M., Figueiras, A., Ballester,F., PerezHoyos,S., OcaÃ±a, R., i Tobias, A. (2001). Comparing metaanalysis and ecologicallongitudinal analysis in timeseries studies : a case study of the effects of air pollution on mortality in three Spanish cities. Journal of Epidemiology and Community Health, 55 (6), 423â€“432. Recuperat 12 setembre 2011, a http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1731914/  
0143005X (versiÃ³ paper) 14702738 (versiÃ³ electrÃ²nica) 

http://hdl.handle.net/10256/3541  
eng  
BMJ Publishing Group  
Articles publicats (DEC)  
Journal of Epidemiology and Community Health, 2001, vol. 55, nÃºm. 6, p.423432  
Aquest document estÃ subjecte a una llicÃ¨ncia Creative Commons: Reconeixement â€“ No comercial (bync)  
http://creativecommons.org/licenses/bync/3.0/es/deed.ca  
Aire  ContaminaciÃ³
Contaminants Mortalitat Air  Pollution Mortality Pollutants 

Comparing metaanalysis and ecologicallongitudinal analysis in timeseries studies: a case study of the effects of air pollution on mortality in three Spanish cities  
info:eurepo/semantics/article  
DUGiDocs 