Nickel and blood counts in workers exposed to urban stressors
| Autor: | Maria Valeria Rosati, Francesco Tomei, Teodorico Casale, Assunta Capozzella, M. P. Schifano, Angela Sancini, Manuela Ciarrocca, Elisabete Weiderpass, M. Marrocco, H. A. Nieto, Gianfranco Tomei, Tiziana Caciari |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Adult
Male 0301 basic medicine Health Toxicology and Mutagenesis Urinary system Blood count Outdoor workers 010501 environmental sciences Hematocrit Toxicology 01 natural sciences 03 medical and health sciences Limit of Detection Nickel Stress Physiological Metals Heavy Occupational Exposure Environmental health Linear regression medicine Humans Cities 0105 earth and related environmental sciences Air Pollutants medicine.diagnostic_test business.industry Smoking Stressor Public Health Environmental and Occupational Health Complete blood count Benzene Heavy metals Middle Aged Police Blood Cell Count 030104 developmental biology Italy Linear Models Female business Environmental Monitoring Toluene |
| Zdroj: | Toxicology and Industrial Health. 32:987-997 |
| ISSN: | 1477-0393 0748-2337 |
| DOI: | 10.1177/0748233714540225 |
| Popis: | Nickel (Ni) and Ni compounds are widely present in the urban air. The purpose of this study is to estimate exposure of individuals to Ni and the correlation between this exposure and the values of blood counts in outdoor workers. This study focused on a sample of 101 outdoor workers (55 male and 46 female; 65 nonsmokers and 36 smokers), all employed in the municipal police in a large Italian city. The personal levels of exposure to Ni were assessed through (a) environmental monitoring of Ni present in the urban air obtained from individual samples and (b) biological monitoring of urinary and blood Ni. The blood count parameters were obtained from the hemochromocytometric tests. Pearson correlation coefficients ( r) were calculated to assess the association between the blood and urinary Ni and the complete blood count. Multiple linear regression models were used to examine the associations between the complete blood count and the independent variables (age, gender, years of work for current tasks, cigarette smoking habit (current and never smoker), values of airborne Ni, and blood and urinary Ni). Multiple linear regression analysis performed on the total group of 101 subjects confirms the association among the red blood cells count, the hematocrit, and the urinary Ni ( R2 = 0.520, p = 0.025 and R2 = 0.530, p = 0.030). These results should lead to further studies on the effects of Ni in working populations exposed to urban pollutants. The possibility that the associations found in our study may be partially explained by other urban pollutants (such as benzene, toluene, and other heavy metals) not taken into consideration in this study cannot be ruled out. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|