Nadine Bonberg1, Beate Pesch2, Nadin Ulrich3, Susanne Moebus4, Lewin Eisele5, Anja Marr6, Marina Arendt7, Karl-Heinz Jöckel8, Thomas Brüning9, Tobias Weiss10. 1. Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany. Electronic address: bonberg@ipa-dguv.de. 2. Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany. Electronic address: pesch@ipa-dguv.de. 3. Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany. Electronic address: nadin.ulrich@ufz.de. 4. Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Hufelandstrasse 55, 45122 Essen, Germany. Electronic address: susanne.moebus@uk-essen.de. 5. Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Hufelandstrasse 55, 45122 Essen, Germany. Electronic address: lewin.eisele@uk-essen.de. 6. Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Hufelandstrasse 55, 45122 Essen, Germany. Electronic address: anja.marr@uk-essen.de. 7. Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Hufelandstrasse 55, 45122 Essen, Germany. Electronic address: marina.arendt@uk-essen.de. 8. Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Hufelandstrasse 55, 45122 Essen, Germany. Electronic address: k-h.joeckel@uk-essen.de. 9. Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany. Electronic address: bruening@ipa-dguv.de. 10. Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany. Electronic address: weiss@ipa-dguv.de.
Abstract
OBJECTIVE: This study investigated the metal distribution in blood samples from the general population and the risk of having high metal concentration for metal workers. METHODS: Metal concentrations were determined in archived blood samples from 1411 men and 1410 women (median age 59 and 57 years, respectively) collected at baseline (2000-2003) of the prospective Heinz Nixdorf Recall Study. Retrospective information on working in metal industry was obtained from previous follow-up survey (2011-2014). Odds ratios (ORs) with 95% confidence intervals (CI) of having a metal concentration >90th percentile (P90) for working in metal industry were calculated using logistic regression with adjustment for covariates. RESULTS: More men than women worked in metal industry (57 vs. 3 at baseline). Male metal workers had increased blood lead (Pb) (OR: 2.86; 95% CI: 1.38-5.91) and manganese (Mn) (OR: 2.92; 95% CI: 1.46-5.81). Smoking (≥30 cigarettes/day) strongly influenced cadmium (Cd) in blood (OR: 168; 95% CI: 55-510). Women had higher Mn (8.92μg/L) and Cd (0.36μg/L) concentrations than men (Mn: 8.11μg/L; Cd: 0.29μg/L). Blood Pb in women (29.2μg/L) was lower than in men (33.2μg/L). None of the studied risk factors was significantly associated with chromium and nickel concentrations above their 90th percentiles. CONCLUSIONS: In this population-based cohort we found evidence that working in metal industry was predictive for having elevated blood Pb and Mn concentrations. However, the 95th percentiles of all investigated metals were not significantly influenced by metal-related occupations. The present study is supportive for gender-specific reference values to limit occupational exposure to Mn and Pb. The strong influence of smoking on blood Cd hinders establishing reference values.
OBJECTIVE: This study investigated the metal distribution in blood samples from the general population and the risk of having high metal concentration for metal workers. METHODS:Metal concentrations were determined in archived blood samples from 1411 men and 1410 women (median age 59 and 57 years, respectively) collected at baseline (2000-2003) of the prospective Heinz Nixdorf Recall Study. Retrospective information on working in metal industry was obtained from previous follow-up survey (2011-2014). Odds ratios (ORs) with 95% confidence intervals (CI) of having a metal concentration >90th percentile (P90) for working in metal industry were calculated using logistic regression with adjustment for covariates. RESULTS: More men than women worked in metal industry (57 vs. 3 at baseline). Male metal workers had increased blood lead (Pb) (OR: 2.86; 95% CI: 1.38-5.91) and manganese (Mn) (OR: 2.92; 95% CI: 1.46-5.81). Smoking (≥30 cigarettes/day) strongly influenced cadmium (Cd) in blood (OR: 168; 95% CI: 55-510). Women had higher Mn (8.92μg/L) and Cd (0.36μg/L) concentrations than men (Mn: 8.11μg/L; Cd: 0.29μg/L). Blood Pb in women (29.2μg/L) was lower than in men (33.2μg/L). None of the studied risk factors was significantly associated with chromium and nickel concentrations above their 90th percentiles. CONCLUSIONS: In this population-based cohort we found evidence that working in metal industry was predictive for having elevated blood Pb and Mn concentrations. However, the 95th percentiles of all investigated metals were not significantly influenced by metal-related occupations. The present study is supportive for gender-specific reference values to limit occupational exposure to Mn and Pb. The strong influence of smoking on blood Cd hinders establishing reference values.
Authors: Denny Agustiningsih; Meida Sofyana; Santosa Budiharjo; Sri Awalia Febriana; Hikmawati Nurokhmanti; Suhartini Suhartini; Dewanto Yusuf Priyambodo; Dwi Aris Agung Nugrahaningsih; Roto Roto; Rakhmat Ari Wibowo Journal: Int J Environ Res Public Health Date: 2021-11-30 Impact factor: 3.390
Authors: Beate Pesch; Swaantje Casjens; Tobias Weiss; Benjamin Kendzia; Marina Arendt; Lewin Eisele; Thomas Behrens; Nadin Ulrich; Noreen Pundt; Anja Marr; Sibylle Robens; Christoph Van Thriel; Rainer Van Gelder; Michael Aschner; Susanne Moebus; Nico Dragano; Thomas Brüning; Karl-Heinz Jöckel Journal: Ann Work Expo Health Date: 2017-11-10 Impact factor: 2.179