Within the framework of the APHEA2 (Air Pollution on Health: a European Approach) project, the effects of ambient particles on mortality among persons o65 yrs were investigated.Daily measurements for particles with a 50% cut-off aerodynamic diameter of 10 mm (PM10) and black smoke (BS), as well as the daily number of deaths among persons o65 yrs of age, from 29 European cities, have been collected. Data on other pollutants and meteorological variables, to adjust for confounding effects and data on city characteristics, to investigate potential effect modification, were also recorded. For individual city analysis, generalised additive models extending Poisson regression, using a locally weighted regression (LOESS) smoother to control for seasonal effects, were applied. To combine individual city results and explore effect modification, second stage regression models were applied.The per cent increase (95% confidence intervals), associated with a 10 mg?m -3 increase in PM10, in the elderly daily number of deaths was 0.8% (0.7-0.9%) and the corresponding number for BS was 0.6% (0.5-0.8%). The effect size was modified by the long-term average levels of nitrogen dioxide (higher levels were associated with larger effects), temperature (larger effects were observed in warmer countries), and by the proportion of the elderly in each city (a larger proportion was associated with higher effects). These results indicate that ambient particles have effects on mortality among the elderly, with relative risks comparable or slightly higher than those observed for total mortality and similar effect modification patterns. The effects among the older persons are of particular importance, since the attributable number of events will be much larger, compared to the number of deaths among the younger population. The APHEA (Air Pollution on Health: a European Approach) project [1-3] started as an attempt to provide quantitative estimates of the short-term health effects of air pollution, using an extensive database from 10 different European countries (15 cities with w25 million people), through time series data and meta-analysis.Daily measurements of black smoke (BS), sulphur dioxide (SO 2 ), suspended particles (as total or particles with an aerodynamic diameter smaller than a certain cut off), nitrogen dioxide (NO 2 ) and ozone (O 3 ) were derived from existing monitoring networks. The outcome data were daily counts of total and cause-specific deaths and hospital emergency admissions. Data on potential confounders (e.g. seasonal and long term patterns, meteorological factors, day of the week, holidays, influenza epidemics, unusual events such as strikes of medical staff) were also used.Poisson regression allowing for autocorrelation and overdispersion was used in the analysis, controlling for all potential confounding factors, choosing the "best" air pollution models, and applying diagnostic tools to check the adequacy of the models.The results of APHEA were firstly reported in a series of articles describing the individu...