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1.
Sci Total Environ ; 392(1): 41-9, 2008 Mar 15.
Article in English | MEDLINE | ID: mdl-18096206

ABSTRACT

OBJECTIVE: Personal exposure to airborne benzene is influenced by various outdoor and indoor sources. The first aim of this study was to assess the benzene exposure of a sample of urban inhabitants living in an inner-city neighborhood of Florence, Italy, excluding exposure from active smoking. The secondary objective was to differentiate the personal exposures according to personal usage patterns of the vehicles. METHODS: A sample of 67 healthy non-smokers was monitored by passive samplers during two 4-weekday campaigns in winter and late spring. Simultaneously, benzene measurements were also taken for a subset of participants, inside and outside their houses. A 4-day time microenvironment activity diary was completed by each subject during each sampling period. Other relevant exposure data were collected by a questionnaire before the sampling. Additional data on urban ambient air benzene levels were also available from the public air quality network. The passive samplers, after automated thermal desorption, were analyzed by GC-FID. RESULTS: Benzene personal exposure levels averaged 6.9 (SD=2.1) and 2.3 (SD=0.7) microg/m(3) in winter and spring, respectively. Outdoor and indoor levels showed high correlation in winter and poor in spring. In winter the highest benzene personal exposure levels were for people traveling by more public transport, followed by users of only car and by users of only bus respectively. CONCLUSIONS: The time spent in-transport for work or leisure makes a major contribution to benzene exposure among Florentine non-smoking citizens. Indoor pollution and transportation means contribute significantly to individual exposure levels especially in winter season.


Subject(s)
Air Pollutants/toxicity , Benzene/toxicity , Environmental Exposure , Air Pollutants/analysis , Benzene/analysis , Chromatography, Gas , Female , Humans , Italy , Male
2.
Med Lav ; 98(5): 422-31, 2007.
Article in English | MEDLINE | ID: mdl-17907535

ABSTRACT

BACKGROUND: In Florence, Italy, the Arno River overflowed on 4 November 1966 and the rare library collections of the National Central Library in Florence (FNCL) were flooded. A Restoration Centre was immediately set up. For book restoration many toxic chemicals were used, such as chlorinated solvents, ethylene oxide (EtO), formaldehyde, petroleum distillates, and pesticides. The study's aims were: (I) to document the restoration process, (II) to identify the potential chemical exposures, (III) to evaluate the mortality experience of restorers. METHODS: A small cohort of 168 workers was identified. The restorers were employed in the FNCL's Restoration Centre during the years 1967-1976. We excluded 9 subjects from the analysis because no working period data were available. Mortality from all causes, from all cancers, and from cancers of specific sites was compared with that of the Italian general population. Standardized Mortality Rates (SMRs) and their 95% confidence intervals were estimated. RESULTS: Restorers were exposed to relatively low levels of several carcinogens. A non-significant excess of cancer mortality was found. Significant increases in brain neoplasm among men and in uterine cancer among women were found, CONCLUSIONS: The small cohort size hampers interpretation of the results. Larger epidemiology studies on library material restorers are needed in order to evaluate risks in this activity. Recommendations to improve future studies are given.


Subject(s)
Carcinogens , Disasters , Libraries/history , Neoplasms/chemically induced , Occupational Diseases/chemically induced , Occupational Exposure , Rare Books/history , Cohort Studies , Confidence Intervals , Data Interpretation, Statistical , Disasters/history , Disinfectants/adverse effects , Environmental Restoration and Remediation , Ethylene Oxide/adverse effects , Female , Follow-Up Studies , Formaldehyde/adverse effects , History, 20th Century , Humans , Italy , Male , Neoplasms/mortality , Occupational Diseases/mortality , Pesticides/adverse effects , Petroleum/adverse effects , Software , Solvents/adverse effects , Time Factors
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