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Occupational risk factors for non-Hodgkin's lymphoma: a population-based case-control study in Northern Germany.
Am J Ind Med. 2008 Apr; 51(4):258-68.AJ

Abstract

OBJECTIVES

To identify occupational factors associated with non-Hodgkin's lymphoma (NHL).

METHODS

A population-based case-control study was conducted in which incident cases of high-malignancy NHL (NHL(high)), low-malignancy NHL (NHL(low)), and chronic lymphocytic leukemia (CLL) were ascertained during the period 1986-1998 among men and women aged 15-75 years residing in six German counties; controls were drawn from population registries. Occupational histories were collected and agent-specific exposures were estimated via a job-exposure-matrix. Odds ratios were estimated by conditional logistic regression.

RESULTS

A total of 858 cases were included in these analyses. Agricultural workers [odds ratio (OR) = 2.67, 95% confidence interval (CI): 0.99, 7.21) and farmers (OR = 1.98, 95% CI: 0.98, 3.98] had elevated risk of NHL(high). Risk of NHL(low) was elevated among agricultural workers (OR = 2.46, 95% CI: 1.17, 5.16), and among blacksmiths, toolmakers, and machine tool operators (OR = 3.12, 95% CI: 1.31, 7.47). Workers in sales and construction had elevated risks of NHL(high) and NHL(low). Exposure to arsenic compounds, chlorophenols, diesel fuel, herbicides, nitrites/nitrates/nitrosamines, and organic dusts were associated with NHL(high) and NHL(low), while exhibiting little association with CLL. A positive monotonic trend in NHL(low) risk across tertiles of cumulative diesel fuel exposure was observed [P-value for test of linear trend (P) = 0.03].

CONCLUSIONS

These findings provide insights into several potential occupational risk factors for NHL and suggest some specific occupational agents for further investigation.

Authors+Show Affiliations

Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA. david.richardson@unc.eduNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

18213641

Citation

Richardson, David B., et al. "Occupational Risk Factors for non-Hodgkin's Lymphoma: a Population-based Case-control Study in Northern Germany." American Journal of Industrial Medicine, vol. 51, no. 4, 2008, pp. 258-68.
Richardson DB, Terschüren C, Hoffmann W. Occupational risk factors for non-Hodgkin's lymphoma: a population-based case-control study in Northern Germany. Am J Ind Med. 2008;51(4):258-68.
Richardson, D. B., Terschüren, C., & Hoffmann, W. (2008). Occupational risk factors for non-Hodgkin's lymphoma: a population-based case-control study in Northern Germany. American Journal of Industrial Medicine, 51(4), 258-68. https://doi.org/10.1002/ajim.20552
Richardson DB, Terschüren C, Hoffmann W. Occupational Risk Factors for non-Hodgkin's Lymphoma: a Population-based Case-control Study in Northern Germany. Am J Ind Med. 2008;51(4):258-68. PubMed PMID: 18213641.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Occupational risk factors for non-Hodgkin's lymphoma: a population-based case-control study in Northern Germany. AU - Richardson,David B, AU - Terschüren,Claudia, AU - Hoffmann,Wolfgang, PY - 2008/1/24/pubmed PY - 2008/6/21/medline PY - 2008/1/24/entrez SP - 258 EP - 68 JF - American journal of industrial medicine JO - Am. J. Ind. Med. VL - 51 IS - 4 N2 - OBJECTIVES: To identify occupational factors associated with non-Hodgkin's lymphoma (NHL). METHODS: A population-based case-control study was conducted in which incident cases of high-malignancy NHL (NHL(high)), low-malignancy NHL (NHL(low)), and chronic lymphocytic leukemia (CLL) were ascertained during the period 1986-1998 among men and women aged 15-75 years residing in six German counties; controls were drawn from population registries. Occupational histories were collected and agent-specific exposures were estimated via a job-exposure-matrix. Odds ratios were estimated by conditional logistic regression. RESULTS: A total of 858 cases were included in these analyses. Agricultural workers [odds ratio (OR) = 2.67, 95% confidence interval (CI): 0.99, 7.21) and farmers (OR = 1.98, 95% CI: 0.98, 3.98] had elevated risk of NHL(high). Risk of NHL(low) was elevated among agricultural workers (OR = 2.46, 95% CI: 1.17, 5.16), and among blacksmiths, toolmakers, and machine tool operators (OR = 3.12, 95% CI: 1.31, 7.47). Workers in sales and construction had elevated risks of NHL(high) and NHL(low). Exposure to arsenic compounds, chlorophenols, diesel fuel, herbicides, nitrites/nitrates/nitrosamines, and organic dusts were associated with NHL(high) and NHL(low), while exhibiting little association with CLL. A positive monotonic trend in NHL(low) risk across tertiles of cumulative diesel fuel exposure was observed [P-value for test of linear trend (P) = 0.03]. CONCLUSIONS: These findings provide insights into several potential occupational risk factors for NHL and suggest some specific occupational agents for further investigation. SN - 0271-3586 UR - https://www.unboundmedicine.com/medline/citation/18213641/Occupational_risk_factors_for_non_Hodgkin's_lymphoma:_a_population_based_case_control_study_in_Northern_Germany_ L2 - https://doi.org/10.1002/ajim.20552 DB - PRIME DP - Unbound Medicine ER -