DOI QR코드

DOI QR Code

Developing a Job Exposure Matrix of Work Organization Hazards in the United States: A Review on Methodological Issues and Research Protocol

  • Choi, BongKyoo (Department of Medicine and Program in Public Health, University of California Irvine)
  • 투고 : 2019.09.10
  • 심사 : 2020.05.27
  • 발행 : 2020.12.30

초록

Background: Most job exposure matrices (JEMs) have been developed for chemical and physical hazards in the United States (US). In addition, the overall validity of most JEMs of work organization hazards using self-reported data in the literature remains to be further tested due to several methodological weaknesses. Methods: This paper aims to review important methodological issues with regard to a JEM of work organization hazards using self-report data and to present a research protocol for developing a four-axis (job titles, hazards, sex, and time) JEM of major work organization hazards using the US General Social Survey-Quality of Work-Life (GSS-QWL) data (2002-2018; N = 7,100 workers). Results: Five methodological weaknesses in existing JEMs of work organization hazards using self-report data were identified: having only two axes (hazard and occupation), using psychometrically weak items and scales, including scales having little interoccupational variability, unresolved optimal minimum numbers of subjects per occupation, and low accessibility. The methodological weaknesses were successfully addressed in the proposed research protocol. Conclusion: The work organization JEM to be developed will significantly facilitate and strengthen occupational epidemiological studies on work organization hazards and major health outcomes, improve national and occupational surveillance of work organization hazards, and promote interventions for a healthy work environment in the US.

키워드

과제정보

The author appreciates the support of the following three researchers. Dr. Naomi Swanson at the NIOSH provided the author with the information on the NIOSH-QWL questionnaire and GSS surveys. Dr. Paul Landsbergis at the State University of New York Downstate School of Public Health advised the author on the GSS-QWL data. Dr. Danh Nguyen at the University of California Irvine School of Medicine provided the author with valuable statistical advice with regard to the methodological issue, determining an optimal minimum number of subjects per occupation for creating a JEM.

참고문헌

  1. Bouyer J, Hemon D. Retrospective evaluation of occupational exposures in population-based case-control studies: general overview with special attention to job exposure matrices. Int J Epidemiol 1993;22(Suppl. 2):S57-64.
  2. Garcia AM, Gonzalez-Galarzo MC, Angel-Alba M, Jose Gordo, et al. A job exposure matrix for Spanish workers; 2011. Available from: https://www.mapfre.com/fundacion/html/revistas/seguridad/n123/docs/Articulo2en.pdf.
  3. Garcia AM, Gonzalez-Galarzo MC, Kauppinen T, Delclos GL, Benavides FG. A job-exposure matrix for research and surveillance of occupational health and safety in Spanish workers: MatEmESp. Am J Ind Med 2013;56(10):1226-38.
  4. Hoar SK, Morrison AS, Cole P, Silverman DT. An occupation and exposure linkage system for the study of occupational carcinogenesis. J Occup Med 1980;22(11):722-6.
  5. Kauppinen T, Toikkanen J, Pukkala E. From cross-tabulations to multipurpose exposure information systems: a new job-exposure matrix. Am J Ind Med 1998;33(4):409-17.
  6. Kauppinen T, Uuksulainen S, Saalo A, Makinen I, Pukkala E. Use of the Finnish information system on occupational exposure (FINJEM) in epidemiologic, surveillance, and other applications. Ann Occup Hyg 2014;58(3):380-96.
  7. Schwartz J. Imputation f job characteristics scores. In: Schnall PL, et al., editors. Occupational medicine: state of the art reviews - the workplace and cardiovascular disease, vol. 15(1). Philadelphia: Hanley & Belfus; 2000. p. 172-5.
  8. Bowman JD, Touchstone JA, Yost MG. A population-based job exposure matrix for power-frequency magnetic fields. J Occup Environ Hyg 2007;4(9):715-28.
  9. Cheng W, Roberts B, Mukherjee B, Neitzel RL. Meta-analysis of job-exposure matrix data from multiple sources. J Expo Sci Environ Epidemiol 2018;28(3):259-74.
  10. Cicioni C, London SJ, Garabrant DH, Bernstein L, Phillips K, Peters JM. Occupational asbestos exposure and mesothelioma risk in Los Angeles County: application of an occupational hazard survey job-exposure matrix. Am J Ind Med 1991;20(3):371-9.
  11. Feingold L, Savitz DA, John EM. Use of a job-exposure matrix to evaluate parental occupation and childhood cancer. Cancer Causes Control 1992;3(2):161-9.
  12. Lee DG, Lavoue J, Spinelli JJ, Burstyn I. Statistical modeling of occupational exposure to polycyclic aromatic hydrocarbons using OSHA data. J Occup Environ Hyg 2015;12(10):729-42.
  13. Sieber Jr WK, Sundin DS, Frazier TM, Robinson CF. Development, use, and availability of a job exposure matrix based on national occupational hazard survey data. Am J Ind Med 1991;20(2):163-74.
  14. Stewart PA, Stenzel MR, Ramachandran G, Banerjee S, Huynh TB, Groth CP, Kwok RK, Blair A, Engel LS, Sandler DP. Development of a total hydrocarbon ordinal job-exposure matrix for workers responding to the Deepwater Horizon disaster: the GuLF STUDY. J Expo Sci Environ Epidemiol 2018;28(3):223-30.
  15. National Institute for Occupational Safety and Health (NIOSH). The changing organization of work and the safety and health of working people. DHHS (NIOSH) Publication No. 2002-116. Available from: https://www.cdc.gov/niosh/docs/2002-116/pdfs/2002-116.pdf?id=10.26616/NIOSHPUB2002116.
  16. Dragano N, Siegrist J, Nyberg ST, et al. Effort-reward imbalance at work and incident coronary heart disease: a multicohort study of 90,164 individuals. Epidemiology 2017;28(4):619-26.
  17. Kivimaki M, Nyberg ST, Batty GD, et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380:1491-7.
  18. Virtanen M, Nyberg ST, Batty GD, et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ 2013;347:f4746.
  19. Choi B, Clays E, de Bacquer D, Karasek R. Socioeconomic status, job strain, and common mental disorders: an ecological (occupational) analysis. Scan J Work Environ Health 2008;6(Suppl. l):22-32.
  20. Cohidon C, Santin G, Chastang JF, Imbernon E, Niedhammer I. Psychosocial exposures at work and mental health: potential utility of a job-exposure matrix. J Occup Environ Med 2012;54(2):184-91.
  21. Stansfeld S, Candy B. Psychosocial work environment and mental health-a meta-analytic review. Scand J Work Environ Health 2006;32(6):443-62.
  22. Theorell T, Hammarstrom A, Aronsson G, Traskman Bendz L, Grape T, Hogstedt C, Marteinsdottir I, Skoog I, Hall C. A systematic review including meta-analysis of work environment and depressive symptoms. BMC Public Health 2015;15:738.
  23. Andel R, Crowe M, Hahn EA, Mortimer JA, Pedersen NL, Fratiglioni L, Johansson B, Gatz M. Work-related stress may increase the risk of vascular dementia. J Am Geriatr Soc 2012;60(1):60-7.
  24. Seidler A, Nienhaus A, Bernhardt T, Kauppinen T, Elo AL, Frolich L. Psychosocial work factors and dementia. Occup Environ Med 2004;61(12):962-71.
  25. Wang HX, Wahlberg M, Karp A, Winblad B, Fratiglioni L. Psychosocial stress at work is associated with increased dementia risk in late life. Alzheimers Dement 2012;8(2):114-20.
  26. Bongers PM, Kremer AM, ter Laak J. Are psychosocial factors, risk factors for symptoms and signs of the shoulder, elbow, or hand/wrist?: a review of the epidemiological literature. Am J Ind Med 2002;41(5):315-42.
  27. Clays E, De Bacquer D, Leynen F, Kornitzer M, Kittel F, De Backer G. The impact of psychosocial factors on low back pain: longitudinal results from the Belstress study. Spine 2007;32:262-8.
  28. Lundberg U. Psychophysiology of work: stress, gender, endocrine response, and work-related upper extremity disorders. Am J Ind Med 2002;41:383-92.
  29. Ostergren PO, Hanson BS, Balogh I, Ektor-Andersen J, Isacsson A, Orbaek P, Winkel J, Isacsson SO. Malmo Shoulder Neck Study Group. Incidence of shoulder and neck pain in a working population: effect modification between mechanical and psychosocial exposures at work? Results from a one year follow up of the Malmo shoulder and neck study cohort. J Epidemiol Community Health 2005;59(9):721-8.
  30. Useche SA, Ortiz VG, Cendales BE. Stress-related psychosocial factors at work, fatigue, and risky driving behavior in bus rapid transport (BRT) drivers. Accid Anal Prev 2017;104:106-14.
  31. Wei C, Gerberich SG, Ryan AD, Alexander BH, Church TR, Manser M. Risk factors for unintentional occupational injury among urban transit bus drivers: a cohort longitudinal study. Ann Epidemiol 2017;27(12):763-70.
  32. Milner A, Butterworth P, Bentley R, Kavanagh AM, LaMontagne AD. Sickness absence and psychosocial job quality: an analysis from a longitudinal survey of working Australians, 2005-2012. Am J Epidemiol 2015;181(10):781-8.
  33. Svedberg P, Mather L, Bergstrom G, Lindfors P, Blom V. Work-home interference, perceived total Workload, and the risk of future sickness absence due to stress-related mental diagnoses among women and men: a prospective twin study. Int J Behav Med 2018;25(1):103-11.
  34. Oshio T, Tsutsumi A, Inoue A, Suzuki T, Miyaki K. The reciprocal relationship between sickness presenteeism and psychological distress in response to job stressors: evidence from a three-wave cohort study. J Occup Health 2017;59(6):552-61.
  35. Yang H, Hitchcock E, Haldeman S, Swanson N, Lu M, Choi B, Nakata A, Baker D. Workplace psychosocial and organizational factors for neck pain in workers in the United States. Am J Ind Med 2016;59(7):549-60.
  36. Karasek RA. Job demands, job decision latitude, and mental strain: implications for job redesign. Adm Sci Q 1979;24:285-308.
  37. Karasek RA, Theorell T, Schwartz JE, Schnall PL, Pieper CF, Michela JL. Job characteristics in relation to the prevalence of myocardial infarction in the US health examination survey (HES) and the health and nutrition examination survey (HANES). Am J Public Health 1988;78(8):910-8.
  38. Choi B, Schnall PL, Yang H, Dobson M, Landsbergis P, Israel L, Karasek R, Baker D. Sedentary work, low physical job demand, and obesity in US workers. Am J Ind Med 2010;53(11):1088-101.
  39. Choi B. Determining an optimal minimum number of subjects in each occupation for a job exposure matrix (JEM) using self-reported data: a missing test. Scand J Work Environ Health 2019;45(4):421-2.
  40. Siegrist J. Adverse health effects of high-effort/low-reward conditions. J Occup Health Psychol 1996;1(1):27-41.
  41. Solovieva S, Pensola T, Kausto J, Shiri R, Heliovaara M, Burdorf A, Husgafvel-Pursiainen K, Viikari-Juntura E. Evaluation of the validity of job exposure matrix for psychosocial factors at work. PLoS One 2014;9(9):e108987.
  42. Kolstad HA, Hansen AM, Kaergaard A, Thomsen JF, Kaerlev L, Mikkelsen S, Grynderup MB, Mors O, Rugulies R, Kristensen AS, Andersen JH, Bonde JP. Job strain and the risk of depression: is reporting biased? Am J Epidemiol 2011;173(1):94-102.
  43. Theorell T, Hasselhorn HM. On cross-sectional questionnaire studies of relationships between psychosocial conditions at work and health-are they reliable? Int Arch Occup Environ Health 2005;78(7):517-22.
  44. Waldenstrom K, Harenstam A. Does the job demand-control model correspond to externally assessed demands and control for both women and men? Scand J Public Health 2008;36(3):242-9.
  45. Karasek RA, Theorell T. Healthy work: stress, productivity, and the reconstruction of working life. New York (NY): Basic Books; 1990.
  46. Frese M, Zapf D. Methodological issues in the study of work stress: objective vs subjective measurement of work stress and the question of longitudinal studies. In: Cooper CL, Payne R, editors. Causes, coping and consequences of stress at work. Chichester, UK: Wiley & Sons; 1988. p. 375-411.
  47. Gimeno D, Benavides FG, Mira M, Martinez JM, Benach J. External validation of psychological job demands in a bus driver sample. J Occup Health 2004;46(1):43-8.
  48. Schwartz JE, Pieper CF, Karasek RA. A procedure for linking psychosocial job characteristics data to health surveys. Am J Public Health 1988;78(8):904-9.
  49. Alfredsson L, Karasek R, Theorell T. Myocardial infarction risk and psychosocial work environment: an analysis of the male Swedish working force. Soc Sci Med 1982;16(4):463-7.
  50. Alterman T, Shekelle RB, Vernon SW, Burau KD. Decision latitude, psychologic demand, job strain, and coronary heart disease in the Western Electric Study. Am J Epidemiol 1994;139(6):620-7.
  51. Amick 3rd BC, McDonough P, Chang H, Rogers WH, Pieper CF, Duncan G. Relationship between all-cause mortality and cumulative working life course psychosocial and physical exposures in the United States labor market from 1968 to 1992. Psychosom Med 2002;64(3):370-81.
  52. Hammar N, Alfredsson L, Johnson JV. Job strain, social support at work, and incidence of myocardial infarction. Occup Environ Med 1998;55(8):548-53.
  53. Johnson JV, Stewart W, Hall EM, Fredlund P, Theorell T. Long-term psychosocial work environment and cardiovascular mortality among Swedish men. Am J Public Health 1996;86(3):324-31.
  54. Toivanen S. Job control and the risk of incident stroke in the working population in Sweden. Scand J Work Environ Health 2008;34(1):40-7.
  55. Toren K, Schioler L, Soderberg M, Giang KW, Rosengren A. The association between job strain and atrial fibrillation in Swedish men. Occup Environ Med 2015;72(3):177-80.
  56. Harduar Morano L, Steege AL, Luckhaupt SE. Occupational patterns in unintentional and undetermined drug-involved and opioid-involved overdose deaths - United States, 2007-2012. MMWR Morb Mortal Wkly Rep 2018;67(33):925-30.
  57. Centers for Disease Control and Prevention. CDC national health report: leading causes of morbidity and mortality and associated behavioral risk and protective factors- United States, 2005-2013. MMWR 2014;63(4):3-27.
  58. Choi B, Dobson M, Schnall P, Garcia-Rivas J. 24-hour work shifts, sedentary work, and obesity in male firefighters. Am J Ind Med 2016;59(6):486-500.
  59. Choi B, Schnall P, Dobson M. Twenty-four-hour work shifts, increased job demands, and elevated blood pressure in professional firefighters. Int Arch Occup Environ Health 2016;89(7):1111-25.
  60. Kuper H, Yang L, Theorell T, Weiderpass E. Job strain and risk of breast cancer. Epidemiology 2007;18:764-8.
  61. Choi B. Job strain, long work hours, and suicidal ideation in US workers: a longitudinal study. Int Arch Occup Environ Health 2018;91(7):865-75.
  62. Nyberg ST, Fransson EI, Heikkila K, et al. Job strain as a risk factor for type 2 diabetes: a pooled analysis of 124,808 men and women. Diabetes Care 2014;37(8):2268-75.
  63. National Institute for Occupational Safety and Health (NIOSH). National occupational research agenda for cancer, reproductive, cardiovascular, and other chronic disease prevention. CRC. 2017. Available from: https://www.cdc.gov/niosh/nora/crosssectors/crc/pdfs/National_Occupational_Research_Agenda_for_CRC_508.pdf.
  64. Siemiatycki J, Lavoue J. Availability of a new job-exposure matrix (CANJEM) for epidemiologic and occupational medicine purposes. J Occup Environ Med 2018;60(7):e324-8.
  65. Fadel M, Valter R, Quignette A, Descatha A. Usefulness of a job-exposure matrix 'MADE' as a decision tool for compensation of work-related musculoskeletal disorders. Eur J Public Health 2019 Jan 9. https://doi.org/10.1093/eurpub/cky274 [Epub ahead of print].
  66. Niedhammer I, Milner A, LaMontagne AD, Chastang JF. Study of the validity of a job-exposure matrix for the job strain model factors: an update and a study of changes over time. Int Arch Occup Environ Health 2018;91(5):523-36.
  67. Johnson JV, Stewart WF. Measuring work organization exposure over the life course with a job-exposure matrix. Scand J Work Environ Health 1993;19(1):21-8.
  68. Wieclaw J, Agerbo E, Mortensen PB, Burr H, Tuchsen F, Bonde JP. Psychosocial working conditions and the risk of depression and anxiety disorders in the Danish workforce. BMC Public Health 2008;8:280.
  69. Hanvold TN, Sterud T, Kristensen P, Mehlum IS. Mechanical and psychosocial work exposures: the construction and evaluation of a gender-specific job exposure matrix (JEM). Scand J Work Environ Health 2019;45(3):239-47.
  70. Cohidon C, Niedhammer I, Wild P, Gueguen A, Bonenfant S, Chouaniere D. Exposure to job-stress factors in a national survey in France. Scand J Work Environ Health 2004;30(5):379-89.
  71. Milner A, Niedhammer I, Chastang JF, Spittal MJ, LaMontagne AD. Validity of a job-exposure matrix for psychosocial job stressors: results from the household income and labour dynamics in Australia survey. PLoS One 2016;11(4):e0152980.
  72. Goldberg M, Hemon D. Occupational epidemiology and assessment of exposure. Int J Epidemiol 1993;22(Suppl. 2):S5-9.
  73. Niedhammer I, Chastang JF, Levy D, David S, Degioanni S, Theorell T. Study of the validity of a job-exposure matrix for psychosocial work factors: results from the national French SUMER survey. Int Arch Occup Environ Health 2008;82(1):87-97.
  74. Karasek RA, Gordon G, Pietrokovsky C, Frese M, Pieper C, Schwartz J, et al. Job content questionnaire and user's guide. Los Angeles (CA), Lowell(MA): University of Southern California/University of Massachusetts; 1985.
  75. Choi B, Kurowski A, Bond M, Baker D, Clays E, De Bacquer D, Punnett L. Occupation-differential construct validity of the Job Content Questionnaire (JCQ) psychological job demands scale with physical job demands items: a mixed methods research. Ergonomics 2012;55(4):425-39.
  76. Bjorner JB, Pejtersen JH. Evaluating construct validity of the second version of the Copenhagen Psychosocial Questionnaire through analysis of differential item functioning and differential item effect. Scand J Public Health 2010;38(3 Suppl. l):90-105.
  77. Kristensen TS, et al. The distinction between work pace and working hours in the measurement of quantitative demands at work. Work & Stress 2004;18: 305-22.
  78. Chungkham HS, Ingre M, Karasek R, Westerlund H, Theorell T. Factor structure and longitudinal measurement invariance of the demand control support model: an evidence from the Swedish Longitudinal Occupational Survey of Health (SLOSH). PLoS One 2013;8(8):e70541.
  79. Choi B, Bjorner JB, Ostergren PO, Clays E, Houtman I, Punnett L, Rosengren A, De Bacquer D, Ferrario M, Bilau M, Karasek R. Cross-language differential item functioning of the job content questionnaire among European countries: the JACE study. Int J Behav Med 2009;16(2):136-47.
  80. Riordan CM, Vandenberg RJ. A central question in cross-cultural research: do employees of different cultures interpret work-related measures in an equivalent manner? J Manage 1994;20(3):643-71.
  81. Karasek R, Brisson C, Kawakami N, Houtman I, Bongers P, Amick B. The Job Content Questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics. J Occup Health Psychol 1998;3(4):322-55.
  82. Le Moual N, Zock JP, Dumas O, Lytras T, Andersson E, Lillienberg L, Schlunssen V, Benke G, Kromhout H. Update of an occupational asthmaspecific job exposure matrix to assess exposure to 30 specific agents. Occup Environ Med 2018;75(7):507-14.
  83. Murphy LR. Job stress research at NIOSH: 1972-2002. In: Perrewe Pamela L, Ganster Daniel C, editors. Historical and current perspectives on stress and health (research in occupational stress and well-being, vol. 2. Emerald Group Publishing Limited; 2002. p. 1-55.
  84. Cifuentes M, Boyer J, Gore R, d'Errico A, Tessler J, Scollin P, Lerner D, Kriebel D, Punnett L, Slatin C. PHASE in Healthcare Research Team. Inter-method agreement between O*NET and survey measures of psychosocial exposure among healthcare industry employees. Am J Ind Med 2007;50(7):545-53.
  85. Glomb TM, Kammeyer-Mueller JD, Rotundo M. Emotional labor demands and compensating wage differentials. J Appl Psychol 2004;89(4):700-14.
  86. Smith TW, Hout M, Marsden PV. General social survey, 1972-2016 [cumulative file]. Codebook. ICPSR 36797.
  87. Smith Tom W, Michael Davern, Jeremy Freese, Michael Hout. General social surveys, 1972-2018. [machine-readable data file]. Chicago: NORC; 2019. Principal investigator, Tom W. Smith; Co-Principal investigators, Michael Davern, Jeremy freese and Stephen L. Morgan, NORC ed. 1 data file (64,814 logical records) and 1 codebook (3,758 pp).
  88. US Bureau of Labor Statistics. The 2010 standard occupational classification structure. Available from: https://www.bls.gov/soc/soc_structure_2010.pdf.
  89. Rhode Island Department of Labor and Training. Standard occupational classification system. Available from: http://www.dlt.ri.gov/lmi/pdf/soc.pdf.
  90. US Census Bureau. Census occupation codes with crosswalk; 2010. Available from: https://www.census.gov/topics/employment/industry-occupation/guidance/code-lists.html.
  91. Myers S, Govindarajulu U, Joseph M, Landsbergis P. Changes in work characteristics over 12 years: findings from the 2002-2014 US national NIOSH quality of work life surveys. Am J Ind Med 2019;62(6):511-22.
  92. Greenberg J. Organizational justice: yesterday, today, and tomorrow. J Manage 1990;16(2):399-432.
  93. Orhede E, Kreiner S. Item bias in indices measuring psychosocial work environment and health. Scand J Work Environ Health 2000;26(3):263-72.
  94. Bjorner JB, Kreiner S, Ware JE, Damsgaard MT, Bech P. Differential item functioning in the Danish translation of the SF-36. J Clin Epidemiol 1998;51(11):1189-202.
  95. Sterne JA, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, Wood AM, Carpenter JR. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 2009;338:b2393.
  96. Center for Disease Control and Prevention. Measuring healthy days. Atlanta, Georgia: CDC. November 2000. Available from: https://www.cdc.gov/hrqol/pdfs/mhd.pdf.
  97. Moriarty DG, Zack MM, Kobau R. The Centers for Disease Control and Prevention's Healthy Days Measures - population tracking of perceived physical and mental health over time. Health Qual Life Outcome. 2003;1:37.
  98. Dwyer-Lindgren L, Mackenbach JP, van Lenthe FJ, Mokdad AH. Self-reported general health, physical distress, mental distress, and activity limitation by US county, 1995-2012. Popul Health Metr 2017;15(1):16.
  99. Rijs KJ, van der Pas S, Geuskens GA, Cozijnsen R, Koppes LL, van der Beek AJ, Deeg DJ. Development and validation of a physical and psychosocial job-exposure matrix in older and retired workers. Ann Occup Hyg 2014;58(2):152-70.