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Marginal structural modeling of associations of occupational injuries with voluntary and involuntary job loss among nursing home workers
  • Published Date:
    Jan 19 2016
  • Source:
    Occup Environ Med. 73(3):175-182.
Filetype[PDF - 443.21 KB]


Details:
  • Pubmed ID:
    26786757
  • Pubmed Central ID:
    PMC4904717
  • Funding:
    U01OH008788/OH/NIOSH CDC HHS/United States
    R01HL107240/HL/NHLBI NIH HHS/United States
    U19 OH008861/OH/NIOSH CDC HHS/United States
    U01 HD051217/HD/NICHD NIH HHS/United States
    U01 HD051256/HD/NICHD NIH HHS/United States
    U01HD059773/HD/NICHD NIH HHS/United States
    U01HD051276/HD/NICHD NIH HHS/United States
    U01AG027669/AG/NIA NIH HHS/United States
    UL1 TR001102/TR/NCATS NIH HHS/United States
    U01 OH008788/OH/NIOSH CDC HHS/United States
    U01HD051217/HD/NICHD NIH HHS/United States
    U01 AG027669/AG/NIA NIH HHS/United States
    L60 MD003645/MD/NIMHD NIH HHS/United States
    R01 HL107240/HL/NHLBI NIH HHS/United States
    U01 HD059773/HD/NICHD NIH HHS/United States
    U01 HD051276/HD/NICHD NIH HHS/United States
    U01 HD051218/HD/NICHD NIH HHS/United States
    U01HD051256/HD/NICHD NIH HHS/United States
    U01HD051218/HD/NICHD NIH HHS/United States
  • Document Type:
  • Collection(s):
  • Description:
    Objectives

    Qualitative studies have highlighted the possibility of job loss following occupational injuries for some workers, but prospective investigations are scant. We used a sample of nursing home workers from the Work, Family, and Health Network to prospectively investigate association between occupational injuries and job loss.

    Methods

    We merged data on 1331 workers assessed four times over an 18-month period with administrative data that include job loss from employers and publicly-available data on their workplaces. Workers self-reported occupational injuries in surveys. Multivariable logistic regression models estimated risk ratios for the impact of occupational injuries on overall job loss, whereas multinomial models were used to estimate odds ratio of voluntary and involuntary job loss. Use of marginal structural models allowed for adjustments of multilevel list of confounders that may be time-varying and/or on the causal pathway.

    Results

    By 12 months, 30.3% of workers experienced occupational injury, whereas 24.2% experienced job loss by 18 months. Comparing workers who reported occupational injuries to those reporting no injuries, risk ratio of overall job loss within subsequent 6 months was 1.31 (95% CI=0.93–1.86). Comparing the same groups, injured workers had higher odds of experiencing involuntary job loss (OR:2.19; 95% CI:1.27–3.77). Also, compared to uninjured workers, those injured more than once had higher odds of voluntary job loss (OR:1.95; 95% CI:1.03–3.67), while those injured once had higher odds of involuntary job loss (OR:2.19; 95% CI:1.18–4.05).

    Conclusions

    Despite regulatory protections, occupational injuries were associated with increased risk of voluntary and involuntary job loss for nursing home workers.