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Disparities in Unintentional Occupational Injury Mortality between High-Income Countries and Low- and Middle-Income Countries: 1990–2016

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  • Yue Wu

    (Department of Environmental and Occupational Health, Xiangya School of Public Health, Central South University, 110 Xiangya Rd., Changsha 410078, China
    Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35294, USA)

  • David C. Schwebel

    (Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35294, USA)

  • Guoqing Hu

    (Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Rd., Changsha 410078, China)

Abstract

Objective: Using estimates from the Global Burden of Disease (GBD) study, we examined differences in unintentional occupational injury mortality rates from 1990 to 2016 between high-income countries (HICs) and low- and middle-income countries (LMICs). Methods: Unintentional occupational injury mortality rates were obtained through the GBD online visualization tool. We quantified mortality changes over time for common external causes of injury for ages 15–49 years and 50–69 years separately in HICs and LMICs using negative binomial regression models. Results: In 2016, there were 24,396 and 303,999 unintentional occupational injury deaths among individuals aged 15 to 69 years in HICs and LMICs, respectively, corresponding to 3.1 and 7.0 per 100,000 people. Between 1990 and 2016, unintentional occupational injury mortality for people aged 15–69 years dropped 46% (from 5.7 to 3.1 per 100,000 people) in HICs and 42% in LMICs (from 13.2 to 7.0 per 100,000 people). Sustained and large disparities existed between HICs and LMICs for both sexes and both age groups during 1990–2016 (mortality rate ratio: 2.2–2.4). All unintentional occupational injury causes of death displayed significant reduction with one exception (ages 15–49 years in HICs). Country-specific analysis revealed large variations in unintentional occupational injury mortality and changes in occupational injury mortality between 1990 and 2016. Conclusions: Despite substantial decreases in mortality between 1990 and 2016 for both HICs and LMICs, a large disparity continues to exist between HICs and LMICs. Multifaceted efforts are needed to reduce the disparity.

Suggested Citation

  • Yue Wu & David C. Schwebel & Guoqing Hu, 2018. "Disparities in Unintentional Occupational Injury Mortality between High-Income Countries and Low- and Middle-Income Countries: 1990–2016," IJERPH, MDPI, vol. 15(10), pages 1-11, October.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:10:p:2296-:d:176808
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    References listed on IDEAS

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    1. Alexander Rommel & Gianni Varnaccia & Nils Lahmann & Jan Kottner & Lars Eric Kroll, 2016. "Occupational Injuries in Germany: Population-Wide National Survey Data Emphasize the Importance of Work-Related Factors," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-16, February.
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    Cited by:

    1. Cabrera-Flores, Johanna, 2023. "The relationship between work accident rates and economic activity: Evidence from Peru (2016-2021)," TEC Empresarial, School of Business, Costa Rica Institute of Technology (ITCR), vol. 17(3), pages 20-32.
    2. Sung-Shil Lim & Jin-Ha Yoon & Jeongbae Rhie & Suk Won Bae & Jihyun Kim & Jong-Uk Won, 2018. "The Relationship between Free Press and Under-Reporting of Non-Fatal Occupational Injuries with Data from Representative National Indicators, 2015: Focusing on the Lethality Rate of Occupational Injur," IJERPH, MDPI, vol. 15(12), pages 1-12, December.

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