Literature DB >> 21671459

Occupational vs. industry sector classification of the US workforce: which approach is more strongly associated with worker health outcomes?

Kristopher L Arheart1, Lora E Fleming, David J Lee, William G Leblanc, Alberto J Caban-Martinez, Manuel A Ocasio, Kathryn E McCollister, Sharon L Christ, Tainya Clarke, Diana Kachan, Evelyn P Davila, Cristina A Fernandez.   

Abstract

OBJECTIVES: Through use of a nationally representative database, we examined the variability in both self-rated health and overall mortality risk within occupations across the National Occupational Research Agenda (NORA) Industry Sectors, as well as between the occupations within the NORA Industry sectors.
METHODS: Using multiple waves of the National Health Interview Survey (NHIS) representing an estimated 119,343,749 US workers per year from 1986 to 2004, age-adjusted self-rated health and overall mortality rates were examined by occupation and by NORA Industry Sector.
RESULTS: There was considerable variability in the prevalence rate of age-adjusted self-rated poor/fair health and overall mortality rates for all US workers. The variability was greatest when examining these data by the Industry Sectors. In addition, we identified an overall pattern of increased poor/fair self-reported health and increased mortality rates concentrated among particular occupations and particular Industry Sectors.
CONCLUSIONS: This study suggests that using occupational categories within and across Industry Sectors would improve the characterization of the health status and health disparities of many subpopulations of workers within these Industry Sectors.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21671459      PMCID: PMC3168588          DOI: 10.1002/ajim.20973

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


  17 in total

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2.  Class matters: U.S. versus U.K. measures of occupational disparities in access to health services and health status in the 2000 U.S. National Health Interview Survey.

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3.  The redesign of the National Health Interview Survey.

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5.  Combining National Health Interview Survey Datasets: issues and approaches.

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7.  Obesity in US workers: The National Health Interview Survey, 1986 to 2002.

Authors:  Alberto J Caban; David J Lee; Lora E Fleming; Orlando Gómez-Marín; William LeBlanc; Terry Pitman
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8.  Occupational cancer in europe

Authors: 
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  6 in total

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2.  Employment Changes Following Breast Cancer Diagnosis: The Effects of Race and Place.

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3.  Risk factors, health behaviors, and injury among adults employed in the transportation, warehousing, and utilities super sector.

Authors:  James C Helmkamp; Jennifer E Lincoln; John Sestito; Eric Wood; Jan Birdsey; Max Kiefer
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4.  Occupational Groups and Environmental Justice: A Case Study in the Bronx, New York.

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Journal:  Prev Chronic Dis       Date:  2018-11-15       Impact factor: 2.830

5.  Effects of Serving as a State Functionary on Self-Rated Health: Empirical Evidence From China.

Authors:  Li He; Zixian Zhang; Jiangyin Wang; Yuting Wang; Tianyang Li; Tianyi Yang; Tianlan Liu; Yuanyang Wu; Shuo Zhang; Siqing Zhang; Hualei Yang; Kun Wang
Journal:  Front Public Health       Date:  2022-04-01

6.  Health conditions in retired manual labor miners and oil and gas extraction workers: National Health Interview Survey, 2007-2017.

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  6 in total

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