BACKGROUND: Mortality patterns were examined in a United States cohort of 138,905 male electric utility workers from five companies to help interpret previous studies of health effects in this industry. METHODS: Using Poisson regression techniques, internal cohort analyses examined total mortality, cardiovascular disease, and cancer in relation to duration of employment in each of nineteen occupational categories which comprise utility operations. RESULTS: Relative to workers who were never involved in utility operations (e.g., administrative workers), mortality rate ratios among operations workers were higher for total mortality, cardiovascular disease, and total cancer. Lung cancer risk was consistently elevated, whereas increased mortality for other cancers was less consistent. CONCLUSIONS: The results of this study indicate excess risk of total mortality, cardiovascular disease, and some cancers among electric utility workers, which could be related to both occupational and non-occupational risk factors. Copyright 2001 Wiley-Liss, Inc
BACKGROUND: Mortality patterns were examined in a United States cohort of 138,905 male electric utility workers from five companies to help interpret previous studies of health effects in this industry. METHODS: Using Poisson regression techniques, internal cohort analyses examined total mortality, cardiovascular disease, and cancer in relation to duration of employment in each of nineteen occupational categories which comprise utility operations. RESULTS: Relative to workers who were never involved in utility operations (e.g., administrative workers), mortality rate ratios among operations workers were higher for total mortality, cardiovascular disease, and total cancer. Lung cancer risk was consistently elevated, whereas increased mortality for other cancers was less consistent. CONCLUSIONS: The results of this study indicate excess risk of total mortality, cardiovascular disease, and some cancers among electric utility workers, which could be related to both occupational and non-occupational risk factors. Copyright 2001 Wiley-Liss, Inc
Authors: Grzegorz Redlarski; Bogdan Lewczuk; Arkadiusz Żak; Andrzej Koncicki; Marek Krawczuk; Janusz Piechocki; Kazimierz Jakubiuk; Piotr Tojza; Jacek Jaworski; Dominik Ambroziak; Łukasz Skarbek; Dawid Gradolewski Journal: Biomed Res Int Date: 2015-02-25 Impact factor: 3.411
Authors: Mireille B Toledano; Gavin Shaddick; Kees de Hoogh; Daniela Fecht; Anna Freni Sterrantino; James Matthews; Matthew Wright; John Gulliver; Paul Elliott Journal: Int J Epidemiol Date: 2020-04-01 Impact factor: 7.196