The prevalence of dementia continues to rise in Australia. It has profound consequences for the health and quality of life of people with the condition and their friends and family. To date, little attention in the literature has been paid to the economic impact, risk factors and subjective well-being of people with dementia and mild cognitive impairment (MCI) in Australia. The key objective of this study is to investigate three aspects of older people with dementia and MCI. These are: i) the economic evaluation of the treatment of dementia, ii) prevalence and risk factors of dementia, and iii) subjective well-being of MCI people.
The study will use two datasets: Survey of Disability, Aged and Carer (SDAC), a cross-sectional dataset, as well as the nationally representative Household, Income and Labour Dynamics in Australia (HILDA) survey, a longitudinal dataset. The aim is to identify the prevalence, risk factors and subjective well-being of people with dementia and MCI, in Australia. Several regression techniques, more specifically, multivariable logistic regression, pooled ordinary least squares (OLS), pooled ordered logit, random and fixed effects estimators, individual mean coded conditional logit estimator, and the generalised estimating equation will be used to investigate the relationships.
This research will methodologically contribute to the literature by including important control variables. The policy implications of these relationships will be thoroughly discussed. This thesis will provide first-hand evidence to Australian policymakers to better understand the potential risk factors for dementia and MCI and the well-being of people experiencing the conditions in formulating health-related policy interventions.
For more information, please contact the Graduate Research School.