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Treatment-seeking differences for mental health problems in male- and non-male-dominated occupations: evidence from the HILDA cohort

Published online by Cambridge University Press:  23 July 2018

A. Milner Open the ORCID record for A. Milner [Opens in a new window] ,
A. J. Scovelle  and
T. King
A. Milner*
Affiliation:
Centre for Health Equity, School of Population and Global Health, University of Melbourne, Melbourne, Australia
A. J. Scovelle
Affiliation:
Centre for Health Equity, School of Population and Global Health, University of Melbourne, Melbourne, Australia
T. King
Affiliation:
Centre for Health Equity, School of Population and Global Health, University of Melbourne, Melbourne, Australia
*
Author for correspondence: Allison Milner, E-mail: [email protected]
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Abstract

Background

There is a well-established gender divide among people who do and do not seek professional help from mental health professionals. Females are typically more likely to report, and seek help for, mental health problems. The current paper sought to examine the role of employment context on help-seeking for mental health issues. We hypothesised that men and women in male-dominated occupations would be less likely to seek help than those in non-male-dominated occupations.

Methods

Data from the Household, Income and Labour Dynamics in Australia survey were used. Help-seeking, measured in 2013, was defined as whether a person reported attending a mental health professional in the 12 months prior to the survey. The exposure, male- and non-male-dominated occupations (measured in 2012), was defined using census data based on self-reported occupation. Analyses were stratified by gender and controlled for relevant confounders (measured in 2012), including mental health and prior help-seeking. We conducted multivariate logistic and propensity score analyses to improve exchangeability of those exposed and unexposed.

Results

For males, being in a male-dominated occupation was independently associated with reduced likelihood of help-seeking (OR 0.66, 95% CI 0.46–0.95) in the adjusted model, although this result fell just out of significance in the propensity score analysis. There was no independent effect of being in a male-/non-male-dominated occupation for help-seeking among women.

Conclusions

Results suggest that male-dominated occupations may negatively influence help-seeking among males. There is a need for more research to understand this relationship and for workplace-based prevention initiatives.

Keywords

Genderhelp-seekingmental healthoccupationwork
Type
Original Articles
Information
Epidemiology and Psychiatric Sciences , Volume 28 , Issue 6 , December 2019 , pp. 630 - 637
Copyright
Copyright © Cambridge University Press 2018 

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References

ABS (2006) 2006 Census – Labour Force. Occupation 06 (ANZSCO) (OCC06P) – 2 Digit by Sex Male/Female (SEXP) Counting: Persons, Place of Usual Residence. Canberra: Australia Bureau of Statistic (Accessed 1 April 2017).Google Scholar
ABS (2017) Labour Force, Australia, Nov 2017. Cat. No. 6202.0. Canberra: ABS. Available at http://www.abs.gov.au/AUSSTATS/[email protected]/Lookup/6202.0Main+Features4Nov+2017) (Accessed 12 December 2017).Google Scholar
Addis, ME and Mahalik, JR (2003) Men, masculinity, and the contexts of help seeking. American Psychologist 58, 5–14.10.1037/0003-066X.58.1.5Google Scholar
Ahs, A, Burell, G and Westerling, R (2012) Care or not care – that is the question: predictors of healthcare utilisation in relation to employment status. International Journal of Behavioural Medicine 19, 29–38.10.1007/s12529-010-9129-2Google Scholar
AIHW (2016) Mental health services in Australia: Medicare-subsidised mental health-related services. Available at https://mhsa.aihw.gov.au/services/medicare/ (Accessed 1 April 2017).Google Scholar
AIHW (2017) Mental health services in Australia. Available at https://www.aihw.gov.au/reports/mental-health-services/mental-health-services-in-australia/specialised-mental-health-care/medicare-services/patient-characteristics (Accessed 12 December 2017).Google Scholar
Alonso, J, Angermeyer, MC, Bernert, S, Bruffaerts, R, Brugha, TS, Bryson, H, de Girolamo, G, de Graaf, R, Demyttenaere, K, Gasquet, I, Haro, JM, Katz, SJ, Kessler, RC, Kovess, V, Lepine, JP, Ormel, J, Polidori, G, Russo, LJ, Vilagut, G, Alamansa, J, Arbabzadeh-Bouchez, S, Autonell, J, Bernal, M, Buist-Bouwman, MA, Codony, M, Domingo-Salvany, A, Ferrer, M, Joo, SS, Martinez-Alonso, M, Matschinger, H, Mazzi, F, Morgan, Z, Morosini, P, Palacin, C, Romera, B, Taub, N and Vollebergh, WAM (2004) Use of mental health services in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project. Acta Psychiatrica Scandivia 109, 47–54.Google Scholar
ANZSCO (2009) Australian and New Zealand Standard Classification of Occupations, 1st Edn, Revision 1. Canberra: Australian Bureau of Statistics. Available at http://www.abs.gov.au/AUSSTATS/[email protected]/allprimarymainfeatures/E8A05691E35F4376CA257B9500138A52?opendocument (Accessed 8 August 2012).Google Scholar
Austin, PC (2011) An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behavioral Research 46, 399–424.Google Scholar
Baxter, J (2012) Fathers’ involvement in children's personal care activities. In Australian Institute of Family Studies (ed.) The Longitudinal Study of Australian Children Annual Statistical Report. Canberra: Australian Institute of Family Studies.Available at https://data.growingupinaustralia.gov.au/pubs/asr/2011/ch3asr2011.pdf (Accessed 8 March 2018).Google Scholar
Becker, SO and Ichino, A (2002) Estimation of average treatment effects based on propensity scores. The Stata Journal 2, 358–377.10.1177/1536867X0200200403Google Scholar
Connell, R (2012) Gender, health and theory: conceptualizing the issue, in local and world perspective. Social Science & Medicine 74, 1675–1683.Google Scholar
Connell, RW and Messerschmidt, JW (2005) Hegemonic masculinity: rethinking the concept. Gender and Society 19, 829–859.10.1177/0891243205278639Google Scholar
Craig, L and Mullan, K (2010) Parenthood, gender and work family time in the United States, Australia, Italy, France, and Denmark. Journal of Marriage and Family 72, 1344–1361.10.1111/j.1741-3737.2010.00769.xGoogle Scholar
Galdas, PM, Cheater, F and Marshall, P (2005) Men and health help-seeking behaviour: literature review. Journal of Advanced Nursing 49, 616–623.10.1111/j.1365-2648.2004.03331.xGoogle Scholar
Gullestrup, J, Lequertier, B and Martin, G (2011) MATES in construction: impact of a multimodal, community-based program for suicide prevention in the construction industry. International Journal of Environmental Research and Public Health 8, 4180–4196.10.3390/ijerph8114180Google Scholar
Hammarström, A, Johansson, K, Annandale, E, Ahlgren, C, Aléx, L, Christianson, M, Elwér, S, Eriksson, C, Fjellman-Wiklund, A, Gilenstam, K, Gustafsson, PE, Harryson, L, Lehti, A, Stenberg, G, Verdonk, P. (2014) Central gender theoretical concepts in health research: the state of the art. Journal of Epidemiology and Community Health 68, 185–190.10.1136/jech-2013-202572Google Scholar
Honkonen, T, Virtanen, M, Ahola, K, Kivimaki, M, Pirkola, S, Isometsa, E, Aromaa, A and Lonnqvist, J (2007) Employment status, mental disorders and service use in the working age population. Scandinavian Journal of Work Environment and Health 33, 29–36.10.5271/sjweh.1061Google Scholar
Kovess-Masfety, V, Boyd, A, van de Velde, S, de Graaf, R, Vilagut, G, Haro, JM, Florescu, S, O'Neill, S, Weinberg, L, Alonso, J and EU-WMH investigators (2014) Are there gender differences in service use for mental disorders across countries in the European Union? Results from the EU-World Mental Health survey. Journal of Epidemiology and Community Health 68, 649–656.10.1136/jech-2013-202962Google Scholar
Leuven, E and Sianesi, B (2003) PSMATCH2: Stata Module to Perform Full Mahalanobis and Propensity Score Matching, Common Support Graphing, and Covariate Imbalance Testing. Boston College Department of Economics. doi: S432001.Google Scholar
Mansfield, AK, Addis, ME and Mahalik, JR (2003) ‘Why won't he got to the doctor?’: The psychology of men's help seeking. International Journal of Men's Health 2, 93–109.10.3149/jmh.0202.93Google Scholar
McDowll, L (2003) Masculine identities and low-paid work: young men in urban labour markets. International Journal of Urban and Regional Research 27, 828–848.10.1111/j.0309-1317.2003.00486.xGoogle Scholar
McFarlane, AC, Hodson, SE, Van Hooff, M and Davies, C (2010) Mental Health in the Australian Defence Force: 2010 ADF Mental Health Prevalence and Wellbeing Study. Canberra: Department of Defence.Google Scholar
Milner, A, Spittal, MJ, Pirkis, J and LaMontagne, AD (2013) Suicide by occupation: systematic review and meta-analysis. British Journal of Psychiatry 203, 409–416.10.1192/bjp.bp.113.128405Google Scholar
Milner, A, Smith, P and LaMontagne, AD (2015) Working hours and mental health in Australia: evidence from an Australian population-based cohort, 2001–2012. Occupational and Environmental Medicine 72, 573–579.10.1136/oemed-2014-102791Google Scholar
Milner, A, Kavanagh, AM, King, T and Currier, D (2018a) The influence of male gender norms and occupational factors on mental health: evidence from the baseline of the Australian Longitudinal Study on Male Health. American Journal of Men's Health 72, 696–705.10.1177/1557988317752607Google Scholar
Milner, A, King, T, LaMontagne, AD, Bentley, R and Kavanagh, AM (2018b) Men's work, women's work, and mental health: a longitudinal investigation of the relationship between the gender composition of occupations and mental health. Social Science & Medicine 204, 16–22.10.1016/j.socscimed.2018.03.020Google Scholar
Möller-Leimkühler, AM (2002) Barriers to help-seeking by men: a review of sociocultural and clinical literature with particular reference to depression. Journal of Affective Disorders 71, 1–9.Google Scholar
Petersen, ML, Porter, KE, Gruber, S, Wang, Y and van der Laan, MJ (2012) Diagnosing and responding to violations in the positivity assumption. Statistical Methods in Medical Research 21, 31–54.Google Scholar
Preston, JA (1999) Occupational gender segregation trends and explanations. The Quarterly Review of Economics and Finance 39, 611–624.Google Scholar
Seidler, ZE, Dawes, AJ, Rice, SM, Oliffe, JL and Dhillon, HM (2016) The role of masculinity in men's help-seeking for depression: a systematic review. Clinical Psychology Review 49, 106–118.10.1016/j.cpr.2016.09.002Google Scholar
Tynan, RJ, Considine, R, Rich, JL, Skehan, J, Wiggers, J, Lewin, TJ, James, C, Inder, K, Baker, AL, Kay-Lambkin, F, Perkins, D and Kelly, BJ (2016) Help-seeking for mental health problems by employees in the Australian Mining Industry. BMC Health Services Research 16, 498.10.1186/s12913-016-1755-1Google Scholar
Wang, PS, Aguilar-Gaxiola, S, Alonso, J, Angermeyer, MC, Borges, G, Bromet, EJ, Bruffaerts, R, de Girolamo, G, de Graaf, R, Gureje, O, Haro, JM, Karam, EG, Kessler, RC, Kovess, V, Lane, MC, Lee, S, Levinson, D, Ono, Y, Petukhova, M, Posada-Villa, J, Seedat, S and Wells, JE (2007) Use of mental health services for anxiety, mood, and substance disorders in 17 countries in the WHO world mental health surveys. The Lancet 370, 841–850.10.1016/S0140-6736(07)61414-7Google Scholar
Watson, N (2011) Methodology for the HILDA Top-Up Sample. Hilda Project Technical Paper Series No 1/11. Melbourne: Melbourne Institute.Google Scholar
Wenger, LM (2011) Beyond ballistics: expanding our conceptualization of men's health-related help seeking. American Journal of Men's Health 5, 488–499.10.1177/1557988311409022Google Scholar
Whiteford, HA, Ferrari, AJ, Degenhardt, L, Feiginm, V and Vos, T (2015) The global burden of mental, neurological and substance use disorders: an analysis from the Global Burden of Disease Study 2010. PLoS ONE 10, e0116820.10.1371/journal.pone.0116820Google Scholar
Wilkins, R (2013) Families, Incomes and Jobs, Volume 8: A Statistical Report on Waves 1 to 10 of the Household, Income and Labour Dynamics in Australia Survey. Melbourne: Melbourne Institute of Applied Economic and Social Research Faculty of Business and Economics.Google Scholar
Windfuhr, K and Kapur, N (2011) Suicide and mental illness: a clinical review of 15 years findings from the UK National Confidential Inquiry into Suicide. British Medical Bulletin 100, 101–121.10.1093/bmb/ldr042Google Scholar
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