Literature DB >> 12233951

Suicide differentials in Australian males and females by various measures of socio-economic status, 1994-98.

Andrew Page1, Stephen Morrell, Richard Taylor.   

Abstract

OBJECTIVES: To investigate Australian suicide differentials in males and females by three area-based measures of socio-economic status (SES).
METHODS: Suicide data for 1994-98 were used to investigate area-based gradients of SES for the Index of Relative Socio-Economic Disadvantage (IRSED) (an overall measure of SES), the Index of Economic Resources (IER), and the Index of Education and Occupation (IEO), using Poisson regression models adjusting for age, country-of-birth and urban-rural residence.
RESULTS: After adjusting for age, country-of-birth and urban-rural residence, significant increasing linear trends in suicide risk from high to low quintiles of SES were evident in males for the IRSED (an average multiplicative increase in suicide risk of 8% per quintile), IER (9% increase) and IEO (5% increase). For females, there was no evident SES gradient for the IRSED after adjusting for age, country-of-birth and urban-rural residence, but a significant positive linear trend from high to low quintiles of SES was found for the IER (6% increase per quintile). A significant decreasing linear trend (increasing suicide risk with increasing SES) was evident for the IEO (30% per quintle).
CONCLUSION: Male suicide is positively associated with all three measures of SES examined. Female suicide is significantly associated with the IER (positive association) and IEO (negative), and because of this is not associated with the overall measure of SES. These findings partly explain why female suicide has been found to be poorly correlated with area-based measures of SES. IMPLICATIONS: Specific components of area-based socio-economic status provide a clearer picture of socio-economic suicide differentials in Australian females, with implications for population-based preventive strategies.

Mesh:

Year:  2002        PMID: 12233951     DOI: 10.1111/j.1467-842x.2002.tb00178.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  7 in total

1.  Divergent trends in suicide by socio-economic status in Australia.

Authors:  Andrew Page; Stephen Morrell; Richard Taylor; Greg Carter; Michael Dudley
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2006-09-01       Impact factor: 4.328

2.  Does Gender Explain the Relationship Between Occupation and Suicide? Findings from a Meta-Analytic Study.

Authors:  A J Milner; M S Spittal; J Pirkis; A D LaMontagne
Journal:  Community Ment Health J       Date:  2015-05-17

3.  Widening socioeconomic inequalities in Australian suicide, despite recent declines in suicide rates.

Authors:  Lay San Too; Phillip C F Law; Matthew J Spittal; Andrew Page; Allison Milner
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2018-04-30       Impact factor: 4.328

4.  Parental socio-economic position during childhood as a determinant of self-harm in adolescence.

Authors:  Andrew Page; Glyn Lewis; Judi Kidger; Jon Heron; Catherine Chittleborough; Jonathan Evans; David Gunnell
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2013-06-07       Impact factor: 4.328

5.  Suicide in rural Australia: A retrospective study of mental health problems, health-seeking and service utilisation.

Authors:  Scott J Fitzpatrick; Tonelle Handley; Nic Powell; Donna Read; Kerry J Inder; David Perkins; Bronwyn K Brew
Journal:  PLoS One       Date:  2021-07-21       Impact factor: 3.240

6.  Cancer survival in New South Wales, Australia: socioeconomic disparities remain despite overall improvements.

Authors:  Julia F Stanbury; Peter D Baade; Yan Yu; Xue Qin Yu
Journal:  BMC Cancer       Date:  2016-02-01       Impact factor: 4.430

7.  Confluence of suicide and drug overdose epidemics in young Australian males: common causality?

Authors:  Richard Taylor; Andrew Page; Alex Wodak; Michael Dudley; Sonali Munot; Stephen Morrell
Journal:  BMC Public Health       Date:  2018-08-03       Impact factor: 3.295

  7 in total

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