Literature DB >> 25603936

Overview of the National Occupational Mortality Surveillance (NOMS) system: leukemia and acute myocardial infarction risk by industry and occupation in 30 US states 1985-1999, 2003-2004, and 2007.

Cynthia F Robinson1, James T Walker, Marie H Sweeney, Rui Shen, Geoffrey M Calvert, Pam K Schumacher, Jun Ju, Susan Nowlin.   

Abstract

BACKGROUND: Cancer and chronic disease are leading causes of death in the US with an estimated cost of $46 billion.
METHODS: We analyzed 11 million cause-specific deaths of US workers age 18-64 years in 30 states during 1985-1999, 2003-2004, and 2007 by occupation, industry, race, gender, and Hispanic origin.
RESULTS: The highest significantly elevated proportionate leukemia mortality was observed in engineers, protective service, and advertising sales manager occupations and in banks/savings &loans/credit agencies, public safety, and public administration industries. The highest significantly elevated smoking-adjusted acute myocardial infarction mortality was noted in industrial and refractory machinery mechanics, farmers, mining machine operators, and agricultural worker occupations; and wholesale farm supplies, agricultural chemical, synthetic rubber, and agricultural crop industries.
CONCLUSIONS: Significantly elevated risks for acute myocardial infarction and leukemia were observed across several occupations and industries that confirm existing reports and add new information. Interested investigators can access the NOMS website at http://www.cdc.gov/niosh/topics/NOMS/.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  acute myocardial infarction; leukemia; occupational cancer; occupational heart disease; occupational mortality; surveillance

Mesh:

Year:  2015        PMID: 25603936      PMCID: PMC4573401          DOI: 10.1002/ajim.22408

Source DB:  PubMed          Journal:  Am J Ind Med        ISSN: 0271-3586            Impact factor:   2.214


  59 in total

1.  A multicenter case-control study in Italy on hematolymphopoietic neoplasms and occupation.

Authors:  A S Costantini; L Miligi; D Kriebel; V Ramazzotti; S Rodella; E Scarpi; E Stagnaro; R Tumino; A Fontana; G Masala; C Viganò; C Vindigni; P Crosignani; A Benvenuti; P Vineis
Journal:  Epidemiology       Date:  2001-01       Impact factor: 4.822

2.  Prevalence of cigarette smoking by occupation and industry in the United States.

Authors:  K M Bang; J H Kim
Journal:  Am J Ind Med       Date:  2001-09       Impact factor: 2.214

3.  Smoking rate trends in U.S. occupational groups: the 1987 to 2004 National Health Interview Survey.

Authors:  David J Lee; Lora E Fleming; Kristopher L Arheart; William G LeBlanc; Alberto J Caban; Katherine Chung-Bridges; Sharon L Christ; Kathryn E McCollister; Terry Pitman
Journal:  J Occup Environ Med       Date:  2007-01       Impact factor: 2.162

4.  Formaldehyde, 2-butoxyethanol and 1-tert-butoxypropan-2-ol.

Authors: 
Journal:  IARC Monogr Eval Carcinog Risks Hum       Date:  2006

5.  Proportionate mortality among current and former members of the United Farm Workers of America, AFL-CIO, in California 1973-2000.

Authors:  Paul K Mills; James J Beaumont; Kiumarss Nasseri
Journal:  J Agromedicine       Date:  2006       Impact factor: 1.675

6.  Obesity and other risk factors: the national survey of U.S. long-haul truck driver health and injury.

Authors:  W Karl Sieber; Cynthia F Robinson; Jan Birdsey; Guang X Chen; Edward M Hitchcock; Jennifer E Lincoln; Akinori Nakata; Marie H Sweeney
Journal:  Am J Ind Med       Date:  2014-01-04       Impact factor: 2.214

7.  Smoking vs other risk factors as the cause of smoking-attributable deaths: confounding in the courtroom.

Authors:  M J Thun; L F Apicella; S J Henley
Journal:  JAMA       Date:  2000-08-09       Impact factor: 56.272

8.  Occupation and cancer - follow-up of 15 million people in five Nordic countries.

Authors:  Eero Pukkala; Jan Ivar Martinsen; Elsebeth Lynge; Holmfridur Kolbrun Gunnarsdottir; Pär Sparén; Laufey Tryggvadottir; Elisabete Weiderpass; Kristina Kjaerheim
Journal:  Acta Oncol       Date:  2009       Impact factor: 4.089

9.  Cancer and other causes of death among male and female farmers from twenty-three states.

Authors:  A Blair; M Dosemeci; E F Heineman
Journal:  Am J Ind Med       Date:  1993-05       Impact factor: 2.214

10.  Evaluation of cytotoxic, genotoxic and inflammatory responses of nanoparticles from photocopiers in three human cell lines.

Authors:  Madhu Khatri; Dhimiter Bello; Anoop K Pal; Joel M Cohen; Susan Woskie; Thomas Gassert; Jiaqi Lan; April Z Gu; Philip Demokritou; Peter Gaines
Journal:  Part Fibre Toxicol       Date:  2013-08-22       Impact factor: 9.400

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  6 in total

1.  Overall and cause-specific mortality in a cohort of farmers and their spouses.

Authors:  Srishti Shrestha; Christine G Parks; Alexander P Keil; David M Umbach; Catherine C Lerro; Charles F Lynch; Honglei Chen; Aaron Blair; Stella Koutros; Jonathan N Hofmann; Laura E Beane Freeman; Dale P Sandler
Journal:  Occup Environ Med       Date:  2019-09       Impact factor: 4.402

2.  Demographic considerations in analyzing decedents by usual occupation.

Authors:  Cora Peterson; Pamela K Schumacher; Andrea L Steege
Journal:  Am J Ind Med       Date:  2020-05-23       Impact factor: 3.079

3.  Lung, gastric and colorectal cancer mortality by occupation and industry among working-aged men in Japan.

Authors:  Hisashi Eguchi; Koji Wada; David Prieto-Merino; Derek R Smith
Journal:  Sci Rep       Date:  2017-02-23       Impact factor: 4.379

4.  What is the most important determinant of cardiometabolic risk in 60-65-year-old subjects: physical activity-related behaviours, overall energy expenditure or occupational status? A cross-sectional study in three populations with different employment status in Poland.

Authors:  Bartłomiej Konrad Sołtysik; Joanna Kostka; Kamil Karolczak; Cezary Watała; Tomasz Kostka
Journal:  BMJ Open       Date:  2019-07-30       Impact factor: 2.692

Review 5.  Re-evaluation of the WHO (2010) formaldehyde indoor air quality guideline for cancer risk assessment.

Authors:  Gunnar Damgård Nielsen; Søren Thor Larsen; Peder Wolkoff
Journal:  Arch Toxicol       Date:  2016-05-21       Impact factor: 5.153

6.  Differences in stroke and ischemic heart disease mortality by occupation and industry among Japanese working-aged men.

Authors:  Koji Wada; Hisashi Eguchi; David Prieto-Merino
Journal:  SSM Popul Health       Date:  2016-10-15
  6 in total

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