A longitudinal comparative study of the physical and mental health problems of affected residents of the firework disaster Enschede, The Netherlands.

OBJECTIVES: After the firework disaster in Enschede, The Netherlands, on 13 May 2000, a longitudinal health study was carried out. Study questions were: (1) did the health status change over this period; and (2) how is the health status 18 months after the disaster compared with controls? STUDY DESIGN: A longitudinal comparative study with two surveys at 3 weeks and 18 months after the disaster. METHODS: A control group for the affected residents was included in the second survey. Respondents filled in a set of validated questionnaires measuring their physical and mental health problems. RESULTS: The prevalence of physical and emotional role limitations, severe sleeping problems, feelings of depression and anxiety, as well as intrusion and avoidance decreased from 3 weeks to 18 months after the disaster for the affected residents. Independent of background characteristics and other life events, residents had 1.5 to three times more health problems than the control group; for example, physical role limitations (odds ratio [OR]=1.5, 95% confidence interval [CI] 1.2-2.0) and anxiety (OR=3.1, 95% CI 2.4-4.2). CONCLUSIONS: Although health problems decreased compared with 3 weeks after the disaster, 18 months after the disaster, the affected residents had more health problems than the people from the control group.

Perceptual differences regarding health and environmental problems and their remedies in two states of the former Czechoslovakia.

In the framework of the Central European Study on Air pollution and Respiratory Health (CESAR), a risk perception and risk communication study was carried out in a total of 25 areas in Bulgaria, the Czech Republic, Hungary, Poland, Romania and the Slovak Republic. This paper is focused on the differences of perception between the Czech (CR) and the Slovak Republic (SR), and the other involved countries. The analysis is based on the data of a structured risk perception questionnaire survey of a random population sample. 6,043 completed questionnaires were collected from the total number of 14,400 distributed ones in 25 areas of the 6 countries. The risk perception was different in the CR and the SR, mainly concerning local environment and health of children in the CR and drug abuse including alcohol consumption and AIDS in the SR. In both countries environmental and health problems were seen as important, but the perceived responsibility for finding a solution was placed with different kinds of institutions.

Methodological approaches to the analysis of hierarchical studies of air pollution and respiratory health--examples from the CESAR study. Central European Study on Air pollution and Respiratory Health.

OBJECTIVES: Many studies of air pollution and health are carried out over several geographical areas, and sometimes over several countries. This paper explores three approaches to analysis in such studies: a non hierarchical model, a two-stage analysis, and multilevel modelling. Illustrations are given using a preliminary subset of data from the CESAR study. DESIGN: The Central European Study on Air pollution and Respiratory Health (CESAR) was conducted in 25 areas within six Central European countries, enrolling 20,271 schoolchildren. Pollution averages were calculated for each area. Associations between pollution and health outcomes were estimated under different models. MAIN RESULTS: A regression analysis of log FVC (forced vital capacity) on PM10, ignoring the geographical hierarchy, estimated a significant mean drop in FVC (adjusted for confounders) of 2.2% (95% CI 0.5% to 1.3%), p=0.007, from the area with the lowest PM10 to that with the highest. A multilevel model (mlm), using data for all children, but with random effects at area and country level, estimated a drop of 2.8% (-0.6% to 6.1%), p=0.110. A two-stage analysis (mean log FVC, adjusted for confounders, was estimated for each area using regression, and these means then regressed on PM10) estimated a drop of 2.6% (-0.5% to 5.5%), p=0.101. Simulation exercises showed the non hierarchical method to be very inadequate in the context of the CESAR study, with only half of all 95% confidence intervals for the estimated PM10 slope containing the true value (i.e., that used to create the simulated data). The two-stage and multilevel modelling methods gave results which were substantially better, though both underperformed slightly. All three methods appeared to give unbiased slope estimates. CONCLUSIONS: Acknowledgement of hierarchical structures is essential in statistical inference--standard errors can be substantially incorrect when they are ignored. Multilevel, random-effects models correctly address hierarchical structures, though having few units at higher levels can cause problems in convergence, especially where complex modelling is required. Two-stage analyses, acknowledging hierarchy, provide simple alternatives to random-effects models.

Associations of PM10 and airborne iron with respiratory health of adults living near a steel factory.

The association between daily PM10 (particles with a median aerodynamic diameter of < or = 10 microns) and iron particle concentrations and respiratory health was studied in a population of adults selected for current or recent bronchodilator use. Acute changes in respiratory health were measured as changes in peak expiratory flow (PEF), and daily prevalence of respiratory symptoms and medication use as recorded in a diary. The study period was October 11 through December 22, 1993. The study population included 32 adults living near a large steel industry in Wijk aan Zee, the Netherlands. During the study period, 24-h average PM10 concentrations in Wijk aan Zee ranged from 36 to 137 micrograms/m3 while the 24-h average concentrations of iron, silicon, sodium, and manganese ranged from approximately zero to 6.95, 1.84, 12.02, and 0.37 micrograms/m3 respectively. The steel industry was found to contribute significantly to the PM10 concentrations, and especially to the iron and manganese concentrations in the air. The association of changes in respiratory health with changes in PM10, iron, sodium, and silicon was evaluated using a time series approach. A statistically significant decrease in PEF was found to be associated with increasing PM10 concentrations. Stronger associations were found for smokers than for nonsmokers, and for subjects reporting many chronic respiratory symptoms than for subjects reporting few such symptoms. Increased concentrations of iron tended to be associated with a decline in PEF, with a lag of 2 to 3 d, although the association did not reach statistical significance.(ABSTRACT TRUNCATED AT 250 WORDS)