Psychological Distress and Occupational Injury: Findings from the National Health Interview Survey 2000-2003

  • Kim, Jae-Young (Department of Environmental Health, Harvard School of Public Health)
  • Published : 2008.05.31

Abstract

Objectives : This study examined whether serious psychological distress (SPD) is associated with occupational injury among US employees. Methods : The employed population aged 18-64 years was examined (n=101,855) using data from the National Health Interview Survey (NHIS) 2000-2003. SPD was measured using the Kessler 6-item Psychological Distress Scale (K-6), a screening scale designed to identify persons with serious mental illness. The predicted marginal prevalence of psychological distress and occupational injury with the adjusted odds ratio were estimated using multiple logistic regression analyses. Results : The age-adjusted 3-month prevalence of occupational injury was $0.80{\pm}0.12%$ in workers with SPD, which was 37% greater than in workers without SPD ($0.58{\pm}0.03%$). The odds of occupational injury in workers with SPD were higher compared to workers without SPD (OR=1.34, 95% CI=0.93-1.92), after controlling for sex, age, race, education, occupation, and activity limitation by at least one medical condition. Male, service and blue collar occupation, and activity limiation by co-morbidity showed significantly higher odds of occupational injury for workers with SPD. Conclusions : The findings suggest that SPD accounts for an increased likelihood of occupational injury among US employees. A further longitudinal study is needed to differentiate the mechanism or causal pathways linking individual injury risk at the workplace, SPD, and socioeconomic factors.

Keywords

References

  1. Smith GS, Sorock GS, Wellman HM, Courtney TK, Pransky GS. Blurring the distinctions between on and off the job injuries: similarities and differences in circumstances. Inj Prev 2006; 12(4): 236-241 https://doi.org/10.1136/ip.2006.011676
  2. Bureau of Labor Statistics. U.S. Department of Labor; 2007. [cited 2008 Mar 22]. Available from: URL:http://www.bls.gov
  3. Li CY, Chen KR, Wu CH, Sung FC. Job stress and dissatisfaction in association with non-fatal injuries on the job in a cross-sectional sample of petrochemical workers. Occup Med (Lond) 2001; 51(1): 50-55 https://doi.org/10.1093/occmed/51.1.50
  4. Murata K, Kawakami N, Amari N. Does job stress affect injury due to labor accident in Japanese male and female blue-collar workers? Ind Health 2000; 38(2): 246-251 https://doi.org/10.2486/indhealth.38.246
  5. Nakata A, Ikeda T, Takahashi M, Haratani T, Hojou M, Fujioka Y, et al. Impact of psychosocial job stress on non-fatal occupational injuries in small and medium-sized manufacturing enterprises. Am J Ind Med 2006; 49(8): 658-669 https://doi.org/10.1002/ajim.20338
  6. Salminen S, Kivimaki M, Elovainio M, Vahtera J. Stress factors predicting injuries of hospital personnel. Am J Ind Med 2003; 44(1): 32-36 https://doi.org/10.1002/ajim.10235
  7. Swaen GM, van Amelsvoort LP, Bultmann U, Slangen JJ, Kant IJ. Psychosocial work characteristics as risk factors for being injured in an occupational accident. J Occup Environ Med 2004; 46(6): 521-527 https://doi.org/10.1097/01.jom.0000128150.94272.12
  8. Chang SJ, Koh SB, Kang MG, Cha BS, Park JK, Hyun SJ, et al. Epidemiology of psychosocial distress in Korean employees. J Prev Med Public Health 2005; 38(1): 25-37. (Korean)
  9. Kim HC, Kim YK, Lee YC, Shin JY, Lee JN, Lee JH, et al. The relationship between job stress and needlestick injury among nurses at a university hospital. Korean J Occup Environ Med 2005; 17(3): 216-224. (Korean)
  10. Simpson SA, Wadsworth EJ, Moss SC, Smith AP. Minor injuries, cognitive failures and accidents at work: incidence and associated features. Occup Med (Lond) 2005; 55(2): 99- 108 https://doi.org/10.1093/occmed/kqi035
  11. Stein MB, Häfler M, Perkonigg A, Lieb R, Pfister H, Maercker A, et al. Patterns of incidence and psychiatric risk factors for traumatic events. Int J Methods Psychiatr Res 2002; 11(4): 143-153 https://doi.org/10.1002/mpr.132
  12. Poole GV, Lewis JL, Devidas M, Hauser CJ, Martin RW, Thomae KR. Psychopathologic risk factors for intentional and nonintentional injury. J Trauma 1997; 42(4): 711-715 https://doi.org/10.1097/00005373-199704000-00022
  13. Tiesman HM, Peek-Asa C, Whitten P, Sprince NL, Stromquist A, Zwerling C. Depressive symptoms as a risk factor for unintentional injury: A cohort study in a rural county. Inj Prev 2006; 12(3): 172-177 https://doi.org/10.1136/ip.2006.011544
  14. Westerholm P. Marklund S, editors. Strategies for occupational health research in a changing Europe. Proceeding of a workshop in Brussels; Stockholm: The National Institute for Working Life (Sweden); 2000. 12p
  15. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med 2002; 32(6): 959-976 https://doi.org/10.1017/S0033291702006074
  16. Kessler RC, Barker PR, Colpe LJ, Epstein JF, Gfroerer JC, Hiripi E, et al. Screening for serious mental illness in the general population. Arch Gen Psychiatry 2003; 60(2):184-189 https://doi.org/10.1001/archpsyc.60.2.184
  17. Bender E. 'Serious psychological distress' affects millions of Americans. Psychiatr News 2006; 41(21): 13
  18. Pratt LA, Dey AN, Cohen AJ. Characteristics of adults with serious psychological distress as measured by the K6 scale: United States, 2001-04. Adv Data 2007; (382): 1-18
  19. Kessler RC, Frank RG. The impact of psychiatric disorders on work loss days. Psychol Med 1997; 27(4): 861-873 https://doi.org/10.1017/S0033291797004807
  20. Kessler RC, Akiskal HS, Ames M, Birnbaum H, Greenberg P, Hirschfeld RM, et al. Prevalence and effects of mood disorders on work performance in a nationally representative sample of U.S. workers. Am J Psychiatry 2006; 163(9): 1561-1568 https://doi.org/10.1176/appi.ajp.163.9.1561
  21. Lerner D, Adler DA, Chang H, Lapitsky L, Hood MY, Perissinotto C, et al. Unemployment, job retention, and productivity loss among employees with depression. Psychiatr Serv 2004; 55(12): 1371-1378 https://doi.org/10.1176/appi.ps.55.12.1371
  22. Laitinen-Krispijn S, Bijl RV. Mental disorders and employee sickness absence: the NEMESIS study. Netherlands Mental Health Survey and Incidence Study. Soc Psychiatry Psychiatr Epidemiol 2000; 35(2): 71-77 https://doi.org/10.1007/s001270050010
  23. Dewa CS, Goering P, Lin E, Paterson M. Depression-related short-term disability in an employed population. J Occup Environ Med 2002; 44(7): 628-633 https://doi.org/10.1097/00043764-200207000-00007
  24. Ha MN, Cho SH, Kweon HJ, Han SH, Joo YS, Pack NJ. Psychometric charateristics of occupational low back pain patients. J Prev Med Public Health 1995; 28(3): 715-725. (Korean)
  25. Peele PB, Tollerud DJ. Depression and occupational injury: Results of a pilot investigation. J Occup Environ Med 2005; 47(4): 424-427 https://doi.org/10.1097/01.jom.0000158700.50594.0f
  26. National Center for Health Statistics. National Health Interview Survey (NHIS), Vol. 2007. Hyattsville, MD: U.S. Department of Health and Human Services; 2008
  27. Little RJ. Direct Standardization: A tool for teaching linear models for unbalanced data. Am. Stat. 1982; 36(1): 38-43 https://doi.org/10.2307/2684091
  28. Korn EL, Graubard BI. Analysis of Health Surveys. New York: John Wiley and Sons, Inc; 1999
  29. Graubard BI, Korn EL. Predictive margins with survey data. Biometrics 1999; 55(2): 652-659 https://doi.org/10.1111/j.0006-341X.1999.00652.x
  30. Shah BV, Barnwell BG, Bieler GS. SUDAAN Software for Analysis of Correlated Data, Release 9. User's manual. Research Triangle Park, NC: Research Triangle Institute; 2004
  31. Warner M, Schenker N, Heinen MA, Fingerhut LA. The effects of recall on reporting injury and poisoning episodes in the National Health Interview Survey. Inj Prev 2005; 11(5): 282-287 https://doi.org/10.1136/ip.2004.006965
  32. Cairney J, Veldhuizen S, Wade TJ, Kurdyak P, Streiner DL. Evaluation of 2 measures of psychological distress as screeners for depression in the general population. Can J Psychiatry 2007; 52(2): 111-120 https://doi.org/10.1177/070674370705200209
  33. Veldhuizen S, Cairney J, Kurdyak P, Streiner DL. The sensitivity of the K6 as a screen for any disorder in community mental health surveys: a cautionary note. Can J Psychiatry 2007; 52(4): 256-259 https://doi.org/10.1177/070674370705200408
  34. Smith GS, Wellman HM, Sorock GS, Warner M, Courtney TK, Pransky GS, et al. Injuries at work in the US adult population: contributions to the total injury burden. Am J Public Health 2005; 95(7): 1213-1219 https://doi.org/10.2105/AJPH.2004.049338
  35. Wan JJ, Morabito DJ, Khaw L, Knudson MM, Dicker RA. Mental illness as an independent risk factor for unintentional injury and injury recidivism. J Trauma 2006; 61(6): 1299-1304 https://doi.org/10.1097/01.ta.0000240460.35245.1a
  36. Dewa CS, Lin E, Kooehoorn M, Goldner E. Association of chronic work stress, psychiatric disorders, and chronic physical conditions with disability among workers. Psychiatr Serv 2007; 58(5): 652-658 https://doi.org/10.1176/appi.ps.58.5.652
  37. Gilmore TM, Alexander BH, Mueller BA, Rivara FP. Occupational injuries and medication use. Am J Ind Med 1996; 30(2): 234-239 https://doi.org/10.1002/(SICI)1097-0274(199608)30:2<234::AID-AJIM16>3.0.CO;2-Y
  38. Wadsworth EJ, Moss SC, Simpson SA, Smith AP. Psychotropic medication use and accidents, injuries and cognitive failures. Hum Psychopharmacol 2005; 20(6): 391-400 https://doi.org/10.1002/hup.709
  39. Tennant C. Life events, stress and depression: a review of recent findings. Aust N Z J Psychiatry 2002; 36(2): 173-182 https://doi.org/10.1046/j.1440-1614.2002.01007.x
  40. Bhattacherjee A, Chau N, Sierra CO, Legras B, Benamghar L, Michaely JP, et al. Relationships of job and some individual characteristics to occupational injuries in employed people: A community-based study. J Occup Health 2003; 45(6): 382-391 https://doi.org/10.1539/joh.45.382