PubMed · 9380982
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E Sánchez-Cortés, J González-Llaven. 1997. [Acute leukemia].. https://pubmed.ncbi.nlm.nih.gov/9380982/
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The objective of this study was to investigate the spatial distribution of respiratory morbidity and asthma in children in relation to high levels of airborne dust pollution. A cross-sectional survey of 2035 children (aged 5-11 yr) by parent-completed questionnaire, with concurrent monitoring of dust deposition rates in the vicinity of children's homes, was performed in 15 primary schools (5 in each of 3 areas of Merseyside). The main outcome measures were (1) doctor-diagnosed asthma, (2) parent-reported respiratory symptoms of recent excess cough, wheeze, and breathlessness, and (3) school absenteeism due to respiratory ill health. Proximity to the source of dust pollution was associated with increased prevalence of excess cough, breathlessness, school absence due to respiratory ill health, and doctor-diagnosed asthma, after adjusting for a range of socioeconomic, environmental, and other confounding factors. The adjusted odds for excess cough and breathlessness for children living within 2 km of the source (dock area) are estimated to be almost twice those for children living more than 2 km away: excess cough 1.9 (95% CI 1.4-2.6); breathlessness 1.9 (1.3-2.7); school absence 1.5 (1.2-1.9); and doctor-diagnosed asthma 1.5 (1.1-2.0). Excess cough was significantly associated with the mean annual dust deposition recorded in the vicinity of the child's home. The adjusted odds ratio for excess cough corresponding to an increase in mean annual dust deposition of 50 mg/m2/d was 3.1 (95% CI 1.1-8.2). These results suggest that airborne dust was associated with respiratory morbidity in these children, which could relate to the high prevalence of childhood doctor-diagnosed asthma in this community.
The true number of industrial accidents followed by absence from work in the Netherlands in 1993 has been estimated by using a capture-recapture approach. A government safety register noted 29,685 cases reported by Dutch companies. The statutory organization that insures employees of the same companies against absence from work for medical reasons (but does not provide special compensation for disability due to accidents at work) noted 19,397 cases for which absence control visits revealed an occupational injury to be the cause of the absence. These two registers showed an overlap of 5,881 matched cases. Assuming them to be independent and capture probability to be homogeneously distributed, the authors obtained a crude estimate of 97,909 accidents. Two methods for correcting this crude estimate are presented. The first method is logistic modeling of the data using age, sex, branch of industry, number of work sites, size of workforce, and seriousness of injury as explanatory variables to allow for heterogeneity in capture probabilities. Applying the model coefficients of these characteristics to the 43,201 distinct cases noted in both registers, we obtained an estimate of 97,524 accidents. Second, knowledge of the reporting and registration procedures utilized by the two sources was used to obtain an estimate of source bias. Errors in recording date of birth and differences between the two registries precluded matching of a number of overlapping cases, accounting for 16.9% overestimation of the true number, corresponding to 83,283 accidents and a government capture rate of 35.6%.
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