Abstract

ObjectiveTo investigate differences in self-reported health among Australian women with a history of intimate partner violence (IPV) in relation to rurality of residence.MethodsData were drawn from six survey waves of the Australian Longitudinal Study on Women’s Health 1973–78 birth cohort. Self-reported general and mental health scores derived from the SF-36 scale were compared for women with a history of IPV living in metropolitan, regional and rural areas. Multivariable generalised estimating equations were constructed adjusting for income hardship, number of children, education, social support, age and marital status.ResultsWomen with a history of IPV living in regional and rural areas had no significant differences in self-reported general health scores compared to their metropolitan counterparts. Rural women affected by IPV had slightly better self-reported mental health than equivalent women living in metropolitan or regional areas. The socio-demographic factors with the strongest association with self-reported health were income, education, social support, and number of children.ConclusionsWomen in regional and rural areas were no more disadvantaged, in terms of self-reported general health or mental health, than IPV affected women living in major cities in Australia.

Highlights

  • The detrimental effects of intimate partner violence (IPV), in terms of negative mental and physical health outcomes, has been reported in clinical and community-based studies across a wide range of countries [1]

  • Women in regional and rural areas were no more disadvantaged, in terms of self-reported general health or mental health, than IPV affected women living in major cities in Australia

  • Rurality and Intimate Partner Violence routinely archived with the Australian Data Archive, a public repository, https://www.ada.edu.au/

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Summary

Methods

Data were drawn from six survey waves of the Australian Longitudinal Study on Women’s Health 1973–78 birth cohort. Multivariable generalised estimating equations were constructed adjusting for income hardship, number of children, education, social support, age and marital status

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