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Does living in remote Australia lessen the impact of hardship on psychological distress?

Published online by Cambridge University Press:  03 April 2017

P. Butterworth
Affiliation:
Melbourne Institute of Applied Economic and Social Research and Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
B. J. Kelly
Affiliation:
School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
T. E. Handley*
Affiliation:
School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
K. J. Inder
Affiliation:
School of Nursing and Midwifery, University of Newcastle, Newcastle, Australia
T. J. Lewin
Affiliation:
School of Medicine and Public Health, University of Newcastle, Newcastle, Australia Hunter New England Health, Newcastle, Australia
*
*Address for correspondence: T. E. Handley, School of Medicine and Public Health, Level 5 McAuley Centre, University of Newcastle, Newcastle, Australia. (Email: tonelle.handley@newcastle.edu.au)

Abstract

Aims.

Rural and remote regions tend to be characterised by poorer socioeconomic conditions than urban areas, yet findings regarding differences in mental health between rural and urban areas have been inconsistent. This suggests that other features of these areas may reduce the impact of hardship on mental health. Little research has explored the relationship of financial hardship or deprivation with mental health across geographical areas.

Methods.

Data were analysed from a large longitudinal Australian study of the mental health of individuals living in regional and remote communities. Financial hardship was measured using items from previous Australian national population research, along with measures of psychological distress (Kessler-10), social networks/support and community characteristics/locality, including rurality/remoteness (inner regional; outer regional; remote/very remote). Multilevel logistic regression modelling was used to examine the relationship between hardship, locality and distress. Supplementary analysis was undertaken using Australian Household, Income and Labour Dynamics in Australia (HILDA) Survey data.

Results.

2161 respondents from the Australian Rural Mental Health Study (1879 households) completed a baseline survey with 26% from remote or very remote regions. A significant association was detected between the number of hardship items and psychological distress in regional areas. Living in a remote location was associated with a lower number of hardships, lower risk of any hardship and lower risk of reporting three of the seven individual hardship items. Increasing hardship was associated with no change in distress for those living in remote areas. Respondents from remote areas were more likely to report seeking help from welfare organisations than regional residents. Findings were confirmed with sensitivity tests, including replication with HILDA data, the use of alternative measures of socioeconomic circumstances and the application of different analytic methods.

Conclusions.

Using a conventional and nationally used measure of financial hardship, people residing in the most remote regions reported fewer hardships than other rural residents. In contrast to other rural residents, and national population data, there was no association between such hardship and mental health among residents in remote areas. The findings suggest the need to reconsider the experience of financial hardship across localities and possible protective factors within remote regions that may mitigate the psychological impact of such hardship.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2017 

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References

Allen, J, Inder, KJ, Lewin, TJ, Attia, J, Kelly, BJ (2012). Social support and age influence distress outcomes differentially across urban, regional and remote Australia: an exploratory study. BMC Psychiatry 12, 928.Google Scholar
Allen, J, Inder, KJ, Harris, ML, Lewin, TJ, Attia, JR, Kelly, BJ (2013). Quality of life impact of cardiovascular and affective conditions among older residents from urban and rural communities. Health and Quality of Life Outcomes 11, 61.Google Scholar
Astell-Burt, T, Mitchell, R, Hartig, T (2014). The association between green space and mental health varies across the lifecourse. A longitudinal study. Journal of Epidemiology and Community Health 68, 578583.Google Scholar
Australian Bureau of Statistics (2000). Household Expenditure Survey Australia, User Guide 1998–99. Commonwealth of Australia: Canberra.Google Scholar
Australian Bureau of Statistics (2006). Statistical Geography Volume 1– Australian Standard Geographical Classification (ASGC), Jul 2006. Commonwealth of Australia: Canberra.Google Scholar
Australian Bureau of Statistics (2008). Census of Population and Housing: Socio-Economic Indexes for Area (SEIFA), Australia. Commonwealth of Australia: Canberra.Google Scholar
Australian Bureau of Statistics (2013). Estimates of Aboriginal and Torres Strait Islander Australians, Jun 2011. Commonwealth of Australia: Canberra.Google Scholar
Australian Institute of Health and Welfare (2004). Rural, Regional and Remote Health: a Guide to Remote Classifications. AIHW: Canberra.Google Scholar
Australian Institute of Health and Welfare (2012). The Health of Australia's Males: a Focus on Five Population Groups. Cat. no. PHE 160. AIHW: Canberra.Google Scholar
Berkman, LF, Syme, SL (1979). Social networks, host resistance, and mortality: a nine-year follow-up study of Alameda County residents. American Journal of Epidemiology 109, 186204.Google Scholar
Bray, JR (2001). Hardship in Australia: an Analysis of Financial Stress Indicators in the 1998–99 Australian Bureau of Statistics Household Expenditure Survey. Occasional Paper. Department of Family and Community Services: Canberra.Google Scholar
Brugha, TS, Cragg, D (1990). The list of threatening experiences: the reliability and validity of a brief life events questionnaire. Acta Psychiatrica Scandinavica 82, 7781.Google Scholar
Butterworth, P, Crosier, T (2005). Deriving a measure of financial hardship from the HILDA Survey. Australian Social Policy, 112.Google Scholar
Butterworth, P, Rodgers, B, Windsor, TD (2009). Financial hardship, socio-economic position and depression: results from the PATH Through Life Survey. Social Science and Medicine 69, 229237.Google Scholar
Butterworth, P, Olesen, SC, Leach, LS (2012). The role of hardship in the association between socio-economic position and depression. Australian and New Zealand Journal of Psychiatry 46, 364373.Google Scholar
Butterworth, P, Handley, TE, Lewin, TJ, Reddy, P, Kelly, BJ (2014). Psychological distress in rural Australia: regional variation and the role of family functioning and social support. Journal of Public Health 22, 481488.Google Scholar
Chipuer, HM, Pretty, GMH (1999). A review of the sense of community index: current uses, factor structure, reliability, and further development. Journal of Community Psychology 27, 643658.Google Scholar
Eysenck, SBG, Eysenck, HJ, Barrett, P (1985). A revised version of the psychoticism scale. Personality and Individual Differences 6, 2129.Google Scholar
Fraser, C, Jackson, H, Judd, F, Komiti, A, Robins, G, Murray, G, Humphreys, J, Pattison, P, Hodgins, G (2005). Changing places: the impact of rural restructuring on mental health in Australia. Health and Place 11, 157171.Google Scholar
Henderson, S, Duncan-Jones, P, Byrne, DG, Scott, R (1980). Measuring social relationships. The interview schedule for social interaction. Psychological Medicine 10, 723734.Google Scholar
Higginbotham, N, Connor, L, Albrecht, G, Freeman, S, Agho, K (2006). Validation of an environmental distress scale. EcoHealth 3, 245254.Google Scholar
Kahneman, D, Deaton, A (2010). High income improves evaluation of life but not emotional well-being. Proceedings of the National Academy of Sciences of the United States of America 107, 1648916493.Google Scholar
Kelly, BJ, Stain, HJ, Coleman, C, Perkins, D, Fragar, L, Fuller, J, Lewin, TJ, Lyle, D, Carr, VJ, Wilson, JM, Beard, JR (2010). Mental health and well-being within rural communities: the Australian Rural Mental Health Study. Australian Journal of Rural Health 18, 1624.Google Scholar
Kelly, BJ, Lewin, TJ, Stain, HJ, Coleman, C, Fitzgerald, M, Perkins, D, Carr, VJ, Fragar, L, Fuller, J, Lyle, D, Beard, JR (2011). Determinants of mental health and well-being within rural and remote communities. Social Psychiatry and Psychiatric Epidemiology 46, 13311342.Google Scholar
Kessler, RC, Andrews, G, Colpe, LJ, Hiripi, E, Mroczek, DK, Normand, SL, Walters, EE, Zaslavsky, AM (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine 32, 959976.Google Scholar
Kiely, KM, Leach, LS, Olesen, SC, Butterworth, P (2015). How financial hardship is associated with the onset of mental health problems over time. Social Psychiatry and Psychiatric Epidemiology 50, 909918.Google Scholar
Law, C, Snider, A, De Leo, D (2014). The influence of deprivation on suicide mortality in urban and rural Queensland: an ecological analysis. Social Psychiatry and Psychiatric Epidemiology 49, 19191928.Google Scholar
Lewis, G, Bebbington, P, Brugha, T, Farrell, M, Gill, B, Jenkins, R, Meltzer, H (1998). Socioeconomic status, standard of living, and neurotic disorder. Lancet 352, 605609.Google Scholar
Mirowsky, J, Ross, CE (2001). Age and the effect of economic hardship on depression. Journal of Health and Social Behavior 42, 132150.Google Scholar
Mitchell, R, Popham, F (2008). Effect of exposure to natural environment on health inequalities: an observational population study. Lancet 372, 16551660.Google Scholar
National Rural Health Alliance (2013). A Snapshot of Poverty in Rural and Regional Australia. National Rural Health Alliance: Canberra.Google Scholar
Nunn, KP, Lewin, TJ, Walton, JM, Carr, VJ (1996). The construction and characteristics of an instrument to measure personal hopefulness. Psychological Medicine 26, 531545.Google Scholar
Skapinakis, P, Weich, S, Lewis, G, Singleton, N, Araya, R (2006). Socio-economic position and common mental disorders: longitudinal study in the general population in the UK. British Journal of Psychiatry 198, 109117.Google Scholar
Slade, T, Grove, R, Burgess, P (2011). Kessler Psychological Distress Scale: normative data from the 2007 Australian National Survey of Mental Health and Wellbeing. Australian and New Zealand Journal of Psychiatry 45, 308316.Google Scholar
Smith, KB, Humphreys, JS, Wilson, MGA (2008). Addressing the health disadvantage of rural populations: how does epidemiological evidence inform rural health policies and research? Australian Journal of Rural Health 16, 5666.Google Scholar
Van Den Berg, AE, Maas, J, Verheij, RA, Groenewegen, PP (2010). Green space as a buffer between stressful life events and health. Social Science and Medicine 70, 12031210.Google Scholar
Watson, N, Wooden, M (2012). The HILDA Survey: a case study in the design and development of a successful household panel study. Longitudinal and Life Course Studies 3, 369381.Google Scholar
Weich, S, Lewis, G (1998). Material standard of living, social class, and the prevalence of the common mental disorders in Great Britain. Journal of Epidemiology and Community Health 52, 814.Google Scholar
Weich, S, Lewis, G, Jenkins, SP (2001). Income inequality and the prevalence of common mental disorders in Britain. British Journal of Psychiatry 178, 222227.Google Scholar
Weich, S, Twigg, L, Holt, G, Lewis, G, Jones, K (2003). Contextual risk factors for the common mental disorders in Britain: a multilevel investigation of the effects of place. Journal of Epidemiology and Community Health 57, 616621.Google Scholar
Whelan, CT, Layte, R, Maitre, B, Nolan, B (2001). Income, deprivation, and economic strain: an analysis of the European Community Household Panel. European Sociological Review 17, 357372.Google Scholar
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