TY - JOUR PY - 2022// TI - Increased all-cause mortality following occupational injury: a comparison of two states JO - Occupational and environmental medicine A1 - Boden, Leslie I. A1 - Asfaw, Abay A1 - Busey, Andrew A1 - Tripodis, Yorghos A1 - O'Leary, Paul K. A1 - Applebaum, Katie M. A1 - Stokes, Andrew C. A1 - Fox, Matthew P. SP - ePub EP - ePub VL - ePub IS - ePub N2 - OBJECTIVES: To measure the impact of lost-time occupational injuries on all-cause mortality in Washington State and, using the same data elements and study design, to determine whether the estimated impact was similar to previous estimates for New Mexico.

METHODS: We linked injuries in the Washington workers' compensation system with Social Security Administration data on earnings and mortality. We estimated Cox survival models of mortality for women and men with lost-time compared with medical-only injuries, adjusting for age, pre-injury earnings and industry. We used quantitative bias analysis to account for confounding by pre-injury smoking and obesity.

RESULTS: The estimated mortality HR was 1.24 for women (95% CI 1.21 to 1.28) and 1.22 for men (95% CI 1.20 to 1.24). After adjusting for unmeasured pre-injury smoking and obesity, the estimated HR for women was 1.10, 95% simulation interval (SI) 1.00 to 1.21; for men, it was 1.15, 95% SI 1.04 to 1.27.

CONCLUSIONS: All-cause mortality for Washington workers with lost-time injuries was higher than for those with medical-only injuries. Estimated HRs for Washington were consistent with those previously estimated for New Mexico, a less populous state with lower median wages and a different workers' compensation insurance mechanism. This suggests that the relationship between workplace injury and long-term mortality may be generalisable to other US states. These findings support greater efforts to enhance safety and to investigate factors that improve postinjury employment opportunities and long-term health. This association should be examined in additional locations, with different study conditions, or using additional data on pre-injury risk factors.

Language: en

LA - en SN - 1351-0711 UR - http://dx.doi.org/10.1136/oemed-2022-108481 ID - ref1 ER -