Safety and Health at Work

  • 제7권4호
  • /
  • Pages.268-283
  • /
  • 2016
  • /
  • 2093-7911(pISSN)
  • /
  • 2093-7997(eISSN)
산업안전보건연구원 (Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency)
권호 표지
DOI QR코드

DOI QR Code

Men, Work, and Mental Health: A Systematic Review of Depression in Male-dominated Industries and Occupations

  • Roche, Ann M. (National Centre for Education and Training on Addiction, Flinders University) ;
  • Pidd, Ken (National Centre for Education and Training on Addiction, Flinders University) ;
  • Fischer, Jane A. (National Centre for Education and Training on Addiction, Flinders University) ;
  • Lee, Nicole (National Centre for Education and Training on Addiction, Flinders University) ;
  • Scarfe, Anje (National Centre for Education and Training on Addiction, Flinders University) ;
  • Kostadinov, Victoria (National Centre for Education and Training on Addiction, Flinders University)
  • 투고 : 2015.08.06
  • 심사 : 2016.04.15
  • 발행 : 2016.12.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Among men, depression is often unrecognised and untreated. Men employed in male-dominated industries and occupations may be particularly vulnerable. However, efforts to develop tailored workplace interventions are hampered by lack of prevalence data. A systematic review of studies reporting prevalence rates for depression in male dominated workforce groups was undertaken. Studies were included if they were published between 1990 - June 2012 in English, examined adult workers in male-dominated industries or occupations (> 70% male workforce), and used clinically relevant indicators of depression. Twenty studies met these criteria. Prevalence of depression ranged from 0.0% to 28.0%. Five studies reported significantly lower prevalence rates for mental disorders among male-dominated workforce groups than comparison populations, while six reported significantly higher rates. Eight studies additionally found significantly higher levels of depression in male-dominated groups than comparable national data. Overall, the majority of studies found higher levels of depression among workers in male-dominated workforce groups. There is a need to address the mental health of workers in male-dominated groups. The workplace provides an important but often overlooked setting to develop tailored strategies for vulnerable groups.

키워드

참고문헌

  1. Oliffe JL, Robertson S, Frank B, McCreary DR, Tremblay G, Goldenberg SL. Men's health in Canada: a 2010 update. J Men's Health 2010;7:189-92. https://doi.org/10.1016/j.jomh.2010.07.001
  2. Rice SM, Aucote HM, Parker AG, Alvarez-Jimenez M, Filia KM, Amminger GP. Men's perceived barriers to help seeking for depression: longitudinal findings relative to symptom onset and duration. J Health Psychol [Internet]. 2015. [cited 7 Dec 2015]. Available from: http://dx.doi.org/10.1177/1359105315605655.
  3. White A, de Sousa B, de Visser R, Hogston R, Madsen SA, Makara P, McKee M, Raine G, Richardson N, Clarke N, Zatonski W . Men's health in Europe. J Mens Health 2011;8:192-201. https://doi.org/10.1016/j.jomh.2011.08.113
  4. Australian Bureau of Statistics. 4326.0 National Survey of Mental Health and Wellbeing: Summary of Results, 2007. Canberra (Australia): Australian Bureau of Statistics; 2008.
  5. Cochran SV, Rabinowitz FE. Gender-sensitive recommendations for assessment and treatment of depression in men. Prof Psychol Res Pr 2003;34:132-40. https://doi.org/10.1037/0735-7028.34.2.132
  6. Hilton MF, Scuffham PA, Vecchio N, Whiteford HA. Using the interaction of mental health symptoms and treatment status to estimate lost employee productivity. Aust N Z J Psychiatry 2010;44:151-61. https://doi.org/10.3109/00048670903393605
  7. World Health Organization (WHO). The Global Burden of Disease: 2004 Update. Geneva (Switzerland): WHO; 2008.
  8. Whiteford HA, Dengenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE,Charlson FJ, Norman RE, Flaxman AD, Johns N, Burstein R, Murray CJL, Vos T. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet 2013;382:1575-86. https://doi.org/10.1016/S0140-6736(13)61611-6
  9. Centre for Mental Health. The Economic and Social Costs of Mental Health Problems in 2009/10. London (UK): Centre for Mental Health; 2010.
  10. Insel TR. Assessing the economic costs of serious mental illness. Am J Psychiatry 2008;165:663-5. https://doi.org/10.1176/appi.ajp.2008.08030366
  11. Lim KL, Jacobs P, Ohinmaa A, Schopflocher D, Dewa CS. A new populationbased measure of the economic burden of mental illness in Canada. Chronic Dis Can 2008;28:92-8.
  12. Council of Australian Governments (COAG). National Action Plan on Mental Health 2006-2011. Canberra (Australia): COAG; 2006.
  13. Sanderson K, Andrews G. Common mental disorders in the workforce: recent findings from descriptive and social epidemiology. Can J Psychiatry 2006;51: 63-75. https://doi.org/10.1177/070674370605100202
  14. Greenberg PE, Kessler RC, Birnbaum HG, Leong SA, Lowe SW, Berglund PA, Corey-Lisle PK. The economic burden of depression in the United States: how did it change between 1990 and 2000? J Clin Psychiatry 2003;64:1465-75. https://doi.org/10.4088/JCP.v64n1211
  15. Sarinen S, Matzanke D, Smeall D. The business case: collaborating to help employees maintain their mental well-being. Healthc Pap 2011;11:78-84. https://doi.org/10.12927/hcpap.2011.22413
  16. De Graaf R, Tuithof M, Van Dorsselaer S, Ten Have M. Comparing the effects on work performance of mental and physical disorders. Soc Psych Psych Epid 2012;47:1873-83. https://doi.org/10.1007/s00127-012-0496-7
  17. Hilton MF, Whiteford HA, Sheridan JS, Cleary CM, Chant DC, Wang PS, Kessler RC. The prevalence of psychological distress in employees and associated occupational risk factors. J Occup Environ Med 2008;50:746-57. https://doi.org/10.1097/JOM.0b013e31817e9171
  18. Stewart WF, Ricci JA, Chee E, Hahn SR, Morganstein D. Cost of lost productive work time among US workers with depression. JAMA 2003;289:3135-44. https://doi.org/10.1001/jama.289.23.3135
  19. Addis ME, Mahalik JR. Men, masculinity, and the contexts of help seeking. Am Psychol 2003;58:5-14. https://doi.org/10.1037/0003-066X.58.1.5
  20. Barney LJ, Griffiths KM, Jorm AF, Christensen H. Stigma about depression and its impact on help-seeking intentions. Aust N Z J Psychiatry 2006;40:51-4. https://doi.org/10.1080/j.1440-1614.2006.01741.x
  21. Courtenay WH. Constructions of masculinity and their influence on men's well-being: a theory of gender and health. Soc Sci Med 2000;50:1385-401. https://doi.org/10.1016/S0277-9536(99)00390-1
  22. Galdas PM, Cheater F, Marshall P. Men and health help-seeking behaviour: literature review. J Adv Nurs 2005;49:616-23. https://doi.org/10.1111/j.1365-2648.2004.03331.x
  23. Cotton SM, Wright A, Harris MG, Jorm AF, McGorry PD. Influence of gender on mental health literacy in young Australians. Aust N Z J Psychiatry 2006;40:790-6. https://doi.org/10.1080/j.1440-1614.2006.01885.x
  24. Andrews G, Issakidis C, Carter G. Shortfall in mental health service utilisation. Br J Psychiatry 2001;179:417-25. https://doi.org/10.1192/bjp.179.5.417
  25. Schofield T, Connell RW,Walker L, Wood JF, Butland DL. Understanding men's health and illness: A gender-relations approach to policy, research, and practice. J Am Coll Health 2000;48:247-56. https://doi.org/10.1080/07448480009596266
  26. World Health Organization. Gender disparities in mental health. Geneva (Switzerland): World Health Organization; 2012.
  27. Warr P. Work, Unemployment and Mental Health. Oxford (UK): Oxford University Press; 1987.
  28. Battams S, Roche A, Fischer J, Lee N, Cameron J, Kostadinov V. Workplace risk factors for anxiety and depression in male-dominated industries: a systematic review. Health Psychol Behav Med 2014;2:983-1008. https://doi.org/10.1080/21642850.2014.954579
  29. Bonde JPE. Psychosocial factors at work and risk of depression: a systematic review of the epidemiological evidence. Occup Environ Med 2008;65:438-45. https://doi.org/10.1136/oem.2007.038430
  30. Faragher EB, Cass M, Cooper CL. The relationship between job satisfaction and health: A meta-analysis. Occup Environ Med 2005;62:105-12. https://doi.org/10.1136/oem.2002.006734
  31. Maslach C. Job burnout: New directions in research and intervention. Curr Dir Psychol Sci 2003;12:189-92. https://doi.org/10.1111/1467-8721.01258
  32. Segerstrom SC, Miller GE. Psychological stress and the human immune system: A meta-analytic study of 30 years of inquiry. Psychol Bull 2004;130:601-30. https://doi.org/10.1037/0033-2909.130.4.601
  33. Stansfeld SA, Candy B. Psychosocial work environment and mental health: a meta-analytic review. Scand J Work Environ Health 2006;32:443-62. https://doi.org/10.5271/sjweh.1050
  34. World Health Organization (WHO). Mental health policies and programmes in the workplace. Geneva (Switzelran): WHO; 2005.
  35. Coles ME, Coleman SL. Barriers to treatment seeking for anxiety disorders: initial data on the role of mental health literacy. Depress Anxiety 2010;27:63-71. https://doi.org/10.1002/da.20620
  36. Goldney RD, Fisher LJ, Wilson DH, Cheok F. Mental health literacy of those with major depression and suicidal ideation: an impediment to help seeking. Suicide Life Threat Behav 2002;32:394-403. https://doi.org/10.1521/suli.32.4.394.22343
  37. Lee NK, Roche A, Duraisingam V, Fischer JA, Cameron J. Effective interventions for mental health in male-dominated workplaces. Ment Health Rev J 2014;19:237-50. https://doi.org/10.1108/MHRJ-09-2014-0034
  38. Roche A, Fischer J, Pidd K, Lee NK, Battams S, Nicholas R. Workplace mental illness and substance use disorders in male-dominated industries: A systematic literature review. Adelaide (Australia): National Centre for Education and Training on Addiction, Flinders University; 2012.
  39. Stansfeld SA, Rasul F, Head J, Singleton N. Occupation and mental health in a national UK survey. Soc Psych Psych Epid 2011;46:101-10. https://doi.org/10.1007/s00127-009-0173-7
  40. Wieclaw J, Agerbo E, Mortensen PB, Bonde JP. Occupational risk of affective and stress-related disorders in the Danish workforce. Scand J Work Environ Health 2005;31:343-51. https://doi.org/10.5271/sjweh.917
  41. Pringle A, Zwolinsky S, Smith A, Robertson S, McKenna J, White A. The preadoption demographic and health profiles of men participating in a programme of men's health delivered in English Premier League football clubs. Public Health 2011;125:411-6. https://doi.org/10.1016/j.puhe.2011.04.013
  42. Australian Bureau of Statistics. Labour force gender indicators, Australia, July 2012 Canberra: Australian Bureau of Statistics [Internet]. 2012 [cited 2013 June 30]. Available from: http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4125.0wJul%202012wMain%20FeatureswLabour%20forcew1110.
  43. Preston A, Whitehouse G. Gender Differences in Occupation of Employment Within Australia. Work Employment and Society Conference 1-3 September Manchester. Perth (Australia): Women's economic policy analysis unit, Curtin University; 2004.
  44. US Bureau of Labor Statistics. Nontraditional occupations of employed women in 2010 Washington DC (WA): United States Department of Labor [Internet]. 2010 [cited 2014 Nov 1]. Available from: http://www.dol.gov/wb/stats/NontraJobs_2010.htm.
  45. US Bureau of Labor Statistics. Table 17: Employed persons by industry, sex, race, and occupation, annual averages 2012: United States Department of Labor [Internet]. 2013 [cited 2014 Nov 1]. Available from: http://www.bls.gov/cps/cpsaat17.pdf.
  46. International Labour Office. Global employment trends for women. (Switzerland): International Labour Office; 2012.
  47. Table B43: Industry of Employment by Age by Sex [Internet]. 2011 [cited 2015 Mar 3]. Available from: http://stat.abs.gov.au/Index.aspx?DataSetCode-ABS_CENSUS2011_B43. Australian and New Zealand Standard Classification of Occupations.
  48. Table 282-0008. Labor force survey estimates, by North American Industry Classification System, sex and age group, 2014 (persons unless otherwise noted) Statistics Canada., CANSIM (database) Data extracted: 2 March 2015. North American Industry Classification System.
  49. STATBANK Denmark [Internet]. 2015 [cited 2015 Mar 4]. Available from: http://www.statbank.dk/statbank5a/default.asp?w-1920. Industry classification: DB07.
  50. Appendix table 30. Employed persons aged 15-74 years by industry (TOL 2008) and sex in 2013. [Internet]. 2013 [cited 2015 Mar 4]. Available from: http://www.stat.fi/til/tyti/2013/13/tyti_2013_13_2014-04-01_tau_030_en.html. Industry Classification:TOL 2008.
  51. Labor Accounts; employment, economic activity, sex [Internet]. 2015 [cited 2015 Mar 12]. Available from: http://statline.cbs.nl/Statweb/publication. Standard Industrial Classification: 2007.
  52. Statistical Yearbook of Norway 2013, Table 210: Employed persons aged 15e 64 years, by country, sex and industry. Nordic countries [Internet]. 2015 [cited 2015 Mar 12]. Available from: http://www.ssb.no/a/english/aarbok/tab/tab-210.html. Standard Industrial Classification: 2008.
  53. October 2014 to December 2014, Employment Rate: EMP13: All in employment by industry sector [Internet]. 2015 [cited 2015 Mar 12]. Available at: www.ons.gov.uk/ons/rel/lms/labour-market-statistics/.../table-emp13.xls.
  54. Table 18: Employed Persons by Detailed Industry, Sex, Race, and Hispanic or Latino Ethnicity Bureau of Labor Statistics, Current Population Survey, Annual Averages 2012 Data extracted: 2 March 2015.
  55. Bultmann U, Kant I, van Amelsvoort L, van den Brandt P, Kasl S. Differences in fatigue and psychological distress across occupations: results from the Maastricht Cohort Study of Fatigue at Work. J Occup Environ Med 2001;43:976-83. https://doi.org/10.1097/00043764-200111000-00008
  56. Cohidon C, Imbernon E, Goldberg M. Prevalence of common mental disorders and their work consequences in France, according to occupational category. Am J Ind Med 2009;52:141-52. https://doi.org/10.1002/ajim.20656
  57. Cohidon C, Santin G, Imbernon E, Goldberg M. Working conditions and depressive symptoms in the 2003 decennial health survey: The role of the occupational category. Soc Psych Psych Epid 2010;45:1135-47. https://doi.org/10.1007/s00127-009-0157-7
  58. Eaton WW, Anthony JC, Mandel W, Garrison R. Occupations and the prevalence of major depressive disorder. J Occup Environ Med 1990;32:1079-87. https://doi.org/10.1097/00043764-199011000-00006
  59. Kessler RC, McGonagle KA, Zhao S, Nelson CB, Hughes M, Eshleman S, Wittchen H, Kendler KS. Lifetime and 12-month prevalence of DSM-IIIR Psychiatric Disorders in the United States. Arch Gen Psych 1994;51:8-19. https://doi.org/10.1001/archpsyc.1994.03950010008002
  60. Fragar L, Stain HJ, Perkins D, Kelly B, Fuller J, Coleman C, Lewin TJ, Wilson JM. Distress among rural residents: does employment and occupation make a difference? Aust J Rural Health 2010;18:25-31. https://doi.org/10.1111/j.1440-1584.2009.01119.x
  61. Gann M, Corpe U, Wison I. The application of a short anxiety and depression questionnaire to oil industry staff. J Soc Occup Med 1990;40:138-42. https://doi.org/10.1093/occmed/40.4.138
  62. Ohayon MM, Priest RG, Guilleminault C, Caulet M. The prevalence of depressive disorders in the United Kingdom. Biol Psychiatry 1999;45:300-7. https://doi.org/10.1016/S0006-3223(98)00011-0
  63. Hilton MF, Staddon Z, Sheridan J, Whiteford HA. The impact of mental health symptoms on heavy goods vehicle drivers' performance. Accid Anal Prev 2009;41:453-61. https://doi.org/10.1016/j.aap.2009.01.012
  64. Hounsome B, Edwards RT, Hounsome N, Edwards-Jones G. Psychological morbidity of farmers and non-farming population: results from a UK survey. Community Ment Health J 2012;48:503-10. https://doi.org/10.1007/s10597-011-9415-8
  65. Inoue A, Kawakami N. Interpersonal conflict and depression among Japanese workers with high or low socioeconomic status: findings from the Japan Work Stress and Health Cohort Study. Soc Sci Med 2010;71:173-80. https://doi.org/10.1016/j.socscimed.2010.02.047
  66. Kawakami N, Takeshima T, Ono Y, Uda H, Hata Y, Nakane Y, Nakane H, Iwata N, Furukawa T, Kikkawa T. Twelve-month prevalence, severity, and treatment of common mental disorders in communities in Japan: preliminary finding from the World Mental Health Japan Survey 2002-2003. Psychiatry Clin Neurosci 2005;59:441-52. https://doi.org/10.1111/j.1440-1819.2005.01397.x
  67. Kawakami N, Roberts RE, Lee ES, Araki S. Changes in rates of depressive symptoms in a Japanese working population: life-table analysis from a 4-year follow-up study. Psychol Med 1995;25:1181-90. https://doi.org/10.1017/S0033291700033158
  68. Niedhammer I, Goldberg M, Leclerc A, Bugel I, David S. Psychosocial factors at work and subsequent depressive symptoms in the Gazel cohort. Scand J Work Environ Health 1998;24:197-205. https://doi.org/10.5271/sjweh.299
  69. Sanne B, Mykletun A, Moen BE, Dahl AA, Tell GS. Farmers are at risk for anxiety and depression: the Hordaland Health Study. Occup Med (Lond) 2004;54:92-100. https://doi.org/10.1093/occmed/kqh007
  70. Scarth RD, Stallones L, Zwerling C, Burmeister LF. The prevalence of depressive symptoms and risk factors among Iowa and Colorado farmers. Am J Ind Med 2000;37:382-9. https://doi.org/10.1002/(SICI)1097-0274(200004)37:4<382::AID-AJIM8>3.0.CO;2-4
  71. Kessler RC, Chiu WT, Demler O, Walters EE. Prevalence, severity, and comorbidity of twelve-month DSM-IV disorders in the National Comorbidity Survey Replication (NCSR). Arch Gen Psychiatry 2005;62:617-27. https://doi.org/10.1001/archpsyc.62.6.617
  72. Velander F, Schineau A, Liang W, Midford R. Digging for gold and coming up blue: a health survey in the mining industry. J Health Safe Env 2010;26:389-401.
  73. Joensuu M, Vaananen A, Koskinen A, Kivimaki M, Virtanen M, Vahtera J. Psychosocial work environment and hospital admissions due to mental disorders: A 15-year prospective study of industrial employees. J Affect Disord 2010;124:118-25. https://doi.org/10.1016/j.jad.2009.10.025
  74. Pirkola SP, Isometsa E, Suvisaari J, Aro H, Joukamaa M, Poikolainen K, Koskinen S, Aromaa A, Lonnqvist JK. DSM-IV mood-, anxiety- and alcohol use disorders and their comorbidity in the Finnish general population: Results from the Health 2000 Study. Soc Psychiatry Psychiatr Epidemiol 2005;40:1-10. https://doi.org/10.1007/s00127-005-0848-7
  75. Petersen JS, Zwerling C. Comparison of health outcomes among older construction and blue-collar employees in the United States. Am J Ind Med 1998;34:280-7. https://doi.org/10.1002/(SICI)1097-0274(199809)34:3<280::AID-AJIM11>3.0.CO;2-Q
  76. Thompson AH, Jacobs P, Dewa CS. The Alberta survey of addictive behaviours and mental health in the workforce: 2009. Alberta (Canada): Institute of Health Economics; 2011.
  77. Pearson C, Janz T, Ali J. Mental and substance use disorders in Canada. Cat. number 82-624-X. Ottawa: Statistics Canada; 2013.
  78. Sanderson S, Tatt ID, Higgins JP. Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography. Int J Epidemiol 2007;36:666-76. https://doi.org/10.1093/ije/dym018
  79. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, Moher D, Becker BJ, Sipe TA, Thacker SB. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000;283:2008-12. https://doi.org/10.1001/jama.283.15.2008
  80. von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol 2008;61:344-9. https://doi.org/10.1016/j.jclinepi.2007.11.008
  81. Glasziou P, Irwig L, Bain C, Colditz G. Syatematic reviews in health care: A practical guide. Cambridge (UK): Cambridge University Press; 2001.
  82. National Collaborating Centre for Methods and Tools. Quality Assessment Tool for Quantitative Studies. Hamilton, Ontario: McMaster University [Internet]. 2008 [cited 2014 Nov 1]. Available from: http://www.nccmt.ca/registry/view/eng/14.html.
  83. Thomas BH, Ciliska D, Dobbins M, Micucci S. A process for systematically reviewing the literature: providing the research evidence for public health nursing interventions. Worldviews Evid Based Nurs 2004;1:176-84. https://doi.org/10.1111/j.1524-475X.2004.04006.x
  84. Mulrow CD, Cook DJ, Davidoff F. Systematic reviews: critical links in the great chain of evidence. Ann Intern Med 1997;126:389-91. https://doi.org/10.7326/0003-4819-126-5-199703010-00008
  85. Jadad AR, Moore RA, Carroll D, Jenkinson C, Reynolds DJ, Gavaghan DJ. Assessing the quality of reports of randomized clinical trials: is blinding necessary? Control Clin Trials 1996;17:1-12. https://doi.org/10.1016/0197-2456(95)00134-4
  86. Radloff LS. The CES-D Scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1977;1:385-401. https://doi.org/10.1177/014662167700100306
  87. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry 1998;59(Suppl 20):22-33.
  88. Mannetje A, Kromhout H. The use of occupation and industry classifications in general population studies. Int J Epidemiol 2003;32:419-28. https://doi.org/10.1093/ije/dyg080

피인용 문헌

  1. Men’s Mental Health Promotion Interventions: A Scoping Review vol.11, pp.6, 2016, https://doi.org/10.1177/1557988317728353
  2. Worker Preferences for a Mental Health App Within Male-Dominated Industries: Participatory Study vol.5, pp.2, 2016, https://doi.org/10.2196/mental.8999
  3. Psychological distress and unmet mental health needs among urban taxi drivers: A cross-sectional survey vol.52, pp.5, 2018, https://doi.org/10.1177/0004867417741556
  4. The Influence of Masculine Norms and Occupational Factors on Mental Health: Evidence From the Baseline of the Australian Longitudinal Study on Male Health vol.12, pp.4, 2016, https://doi.org/10.1177/1557988317752607
  5. The development and characteristics of Employee Assistance Programs around the globe vol.33, pp.3, 2016, https://doi.org/10.1080/15555240.2018.1539642
  6. A smartphone application for treating depressive symptoms: study protocol for a randomised controlled trial vol.18, pp.None, 2016, https://doi.org/10.1186/s12888-018-1752-5
  7. Feasibility and acceptability of strategies to address mental health and mental ill-health in the Australian coal mining industry vol.12, pp.1, 2016, https://doi.org/10.1186/s13033-018-0245-8
  8. Correlates of psychological distress among workers in the mining industry in remote Australia: Evidence from a multi-site cross-sectional survey vol.13, pp.12, 2016, https://doi.org/10.1371/journal.pone.0209377
  9. Men’s Work-Related Stress and Mental Health: Illustrating the Workings of Masculine Role Norms vol.13, pp.2, 2019, https://doi.org/10.1177/1557988319838416
  10. Blue Collar Frayed: Working men in tomorrow’s economy : by J. Rayner, Victoria, Australia, Redback, 2018 vol.29, pp.3, 2016, https://doi.org/10.1080/10301763.2019.1695243
  11. Data-informed targets for suicide prevention: a small-area analysis of high-risk suicide regions in Australia vol.54, pp.10, 2019, https://doi.org/10.1007/s00127-019-01716-8
  12. Review of global mental health research in the construction industry : A science mapping approach vol.27, pp.2, 2016, https://doi.org/10.1108/ecam-02-2019-0114
  13. Identifying Typologies of Persons Who Died by Suicide: Characterizing Suicide in Victoria, Australia vol.24, pp.1, 2016, https://doi.org/10.1080/13811118.2018.1507855
  14. Masculinity norms and occupational role orientations in men treated for depression vol.15, pp.5, 2016, https://doi.org/10.1371/journal.pone.0233764
  15. Exploring the relationship between psychological distress and likelihood of help seeking in construction workers: The role of talking to workmates and knowing how to get help vol.67, pp.1, 2016, https://doi.org/10.3233/wor-203251
  16. “It's all window dressing:” Canadian police officers' perceptions of mental health stigma in their workplace vol.44, pp.1, 2016, https://doi.org/10.1108/pijpsm-07-2020-0126
  17. Construction workers' alcohol use, knowledge, perceptions of risk and workplace norms vol.39, pp.7, 2016, https://doi.org/10.1111/dar.13075
  18. A systematic review protocol examining workplace interventions that aim to improve employee health and wellbeing in male-dominated industries vol.9, pp.1, 2020, https://doi.org/10.1186/s13643-019-1260-9
  19. Exploring the Barriers to and Motivators for Using Digital Mental Health Interventions Among Construction Personnel in Nigeria: Qualitative Study vol.5, pp.11, 2016, https://doi.org/10.2196/18969
  20. Cambios en la tendencia de mortalidad por suicidio en Chile, 1997-2018 vol.17, pp.None, 2021, https://doi.org/10.18294/sc.2021.3363
  21. Prevalence and association of discrimination and bullying and the impact on mental health in an occupational setting vol.14, pp.1, 2016, https://doi.org/10.1108/ijwhm-02-2020-0018
  22. Exploring the Relationships between Safety Compliance, Safety Participation and Safety Outcomes: Considering the Moderating Role of Job Burnout vol.18, pp.8, 2016, https://doi.org/10.3390/ijerph18084223
  23. Evaluation of multi-level intervention strategies for a psychologically healthy construction workplace in Nigeria vol.19, pp.2, 2016, https://doi.org/10.1108/jedt-05-2020-0159
  24. Flying below the Radar: Psychoactive Drug Use among Young Male Construction Workers in Sydney, Australia vol.56, pp.6, 2016, https://doi.org/10.1080/10826084.2021.1892139
  25. Childhood abuse and its association with adults’ mental health problems: a cross-sectional study among men and women in the Yangon Region of Myanmar vol.11, pp.11, 2021, https://doi.org/10.1136/bmjopen-2020-045870
  26. An Evaluation of 5-Year Web Analytics for HeadsUpGuys: A Men’s Depression E-Mental Health Resource vol.15, pp.6, 2016, https://doi.org/10.1177/15579883211063322
  27. Are guided internet-based interventions for the indicated prevention of depression in green professions effective in the long run? Longitudinal analysis of the 6- and 12-month follow-up of a pragmatic vol.26, pp.None, 2016, https://doi.org/10.1016/j.invent.2021.100455
  28. Mental health screening amongst police officers: factors associated with under-reporting of symptoms vol.21, pp.1, 2016, https://doi.org/10.1186/s12888-021-03125-1