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Wood Dust (wood + dust)

Distribution by Scientific Domains
Medical Sciences100%

Terms modified by Wood Dust

  • wood dust exposure
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    Selected Abstracts

    Genome-wide analysis of genetic changes in intestinal-type sinonasal adenocarcinoma

    HEAD & NECK: JOURNAL FOR THE SCIENCES & SPECIALTIES OF THE HEAD AND NECK, Issue 3 2009
    Mario A. Hermsen PhD
    Abstract Background Intestinal-type sinonasal adenocarcinomas are rare tumors related to professional exposure to wood dust. Little is known about the genetic changes in these tumors. Methods Twenty-two tumors were analyzed by microarray comparative genomic hybridization (CGH). In addition, DNA ploidy was measured by flow cytometry and microsatellite instability (MSI) by multiplex PCR. Results The most frequent gains were, in descending order, as follows: 5p15, 20q13, and 8q24. Losses occurred most frequently at 4q31-qter, 18q12-22, 8p12-pter, and 5q11-qter. MSI was not detected. Seven cases that harbored very few changes were mostly DNA diploid and had more favorable clinicopathological features, such as lack of intracranial invasion, less metastases, and longer overall survival. Conclusion The microarray CGH results enabled to better define hotspots of chromosomal gains and losses for further investigation of genes involved in the tumorigenesis of sinonasal adenocarcinoma. In addition, the data allowed classification of a group of patients with better clinical outcome. © 2008 Wiley Periodicals, Inc. Head Neck, 2009 [source]

    Occupational wood dust exposure and the risk of laryngeal cancer: A population based case-control study in Germany

    AMERICAN JOURNAL OF INDUSTRIAL MEDICINE, Issue 9 2008
    Heribert Ramroth
    Abstract Background To investigate the effect of exposure to wood dust on the risk of laryngeal cancer. Methods A population-based case-control study on laryngeal cancer was conducted in South-West Germany between 1st of May 1998 to 31st of December 2000 with 257 histologically confirmed cases (236 males, 21 females), age 37 to 80 years, and 769 population controls (702 males, 67 females), 1:3 frequency matched by age and sex. Occupational exposures and other risk factors were obtained with face-to-face interviews using a detailed standardized questionnaire. The complete individual work history was assessed. Work conditions were obtained by job-specific questionnaires for selected jobs known to be associated with exposure to potential carcinogens. Additionally, a specific substance check-list was used as a method for exposure assessment. Results 43 (16.7%) cases (41 males, 2 females) and 107 (13.9%) controls (105 males, 2 females) reported wood dust exposure. Numbers were almost identical for two different methods of exposure assessment; however, the agreement of these methods was around 95%. A strong effect on laryngeal cancer risk after adjustment for smoking, alcohol and education was observed for high exposure to hardwood dust (OR,=,2.6, 95% CI 1.3--5.2) and to softwood dust (OR,=,2.2, 95% CI 1.1--4.2), as assessed by substance list. Conclusions Our findings for higher exposure to hardwood and softwood dust contribute to the evidence that wood dust, in particular from hardwood is an independent risk factor. Am. J. Ind. Med. 51:648,655, 2008. Published 2008 Wiley-Liss, Inc. [source]

    Nested case-control study of lung cancer among pulp and paper workers in relation to exposure to dusts

    AMERICAN JOURNAL OF INDUSTRIAL MEDICINE, Issue 6 2001
    Irena Szadkowska-Sta, czyk MD
    Abstract Background Numerous studies have indicated an increased risk of lung cancer in pulp and paper industry workers. In a 1990 survey, standardized mortality ratio (SMR) was found to be 122 (95% CI:96,153) for lung cancer in Polish male workers in the pulp and paper industry, and 166 (95% CI:95,270) among workers engaged in paper production. Methods A nested case-control design within a cohort of pulp and paper workers was applied. Seventy-nine lung cancer cases and 237 "healthy" controls were selected from the cohort of 10,460 workers employed during the years 1968,1990, and observed until the end of 1995. Based on personnel files, occupational exposure was reconstructed by experts. Using a questionnaire, data on smoking habits were collected. ORs unadjusted and adjusted for smoking were calculated applying the model of conditional logistic regression. Results Occupational exposure to inorganic dusts (kaolin, lime, cement, brick, grindstone) adjusted for smoking was a significant lung cancer risk factor, with a 4.0-fold risk (95% CI:1.3,12.6), and a dose-response by cumulative dose index. Among organic dusts only wood dust increased albeit insignificantly the risk for those exposed (adjusted for smoking OR,=,2.1, 95% CI:0.9,4.9), but without dose-response relationship. Conclusions Exposure to occupational dust with relatively low content of silica, but at high concentrations may be considered as a factor increasing lung cancer risk. However, the observation made in this study should be viewed with caution as it was based on a small number of cases, and further evidence is needed to confirm or refute the authors' hypothesis. Am. J. Ind. Med. 39:547,556, 2001. © 2001 Wiley-Liss, Inc. [source]

    An application of hierarchical regression in the investigation of multiple paternal occupational exposures and neuroblastoma in offspring,

    AMERICAN JOURNAL OF INDUSTRIAL MEDICINE, Issue 5 2001
    Anneclaire J. De Roos MPH
    Abstract Background We used hierarchical regression to study the effects of 46 paternal occupational exposures on the incidence of neuroblastoma in offspring. Methods The study population included 405 cases and 302 controls. The effect of each exposure was estimated using both conventional maximum likelihood and hierarchical regression. Results Using hierarchical regression, overall precision was greatly enhanced compared to the conventional analysis. In addition, adjustment of effect estimates based on prespecified prior distributions of the true effect parameters allowed a more consistent interpretation across the entire panel of exposures. Estimates for several metals and solvents were shrunk close to the null value, whereas estimates for several thinner solvents, diesel fuel, solders, wood dust, and grain dust remained moderately elevated. Conclusions Hierarchical regression may mitigate some of the problems of the conventional approach by controlling for correlated exposures, enhancing the precision of estimates, and providing some adjustment of estimates based on prior knowledge. Am. J. Ind. Med. 39:477,486, 2001. © 2001 Wiley-Liss, Inc. [source]