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Introduction: Parkinson's disease (PD) is associated with a range of non‐motor symptomologies such as anxiety and depression. Objective: The purpose of this research was to investigate the prevalence and factors associated with mental health status in persons with PD. Design: This retrospective data linkage study analysed a subset of data from the Sax Institute's 45 and Up Study based in the population of the state of New South Wales (NSW), Australia. Data was analysed between 2005‐2009 of persons who self‐identified with PD. Secure data access was provided through the Sax Institute's Secure Unified Research Environment (SURE). Participants were aged 45+ years of age and living in NSW, Australia. Regression analysis was performed on psychological distress (K10), previous diagnosis of anxiety, and/or depression, with independent variables for locality, demographic, health, medical, and sociocultural factors. Findings: A total of 1676 persons self‐identified with PD from the 45 and Up Study Wave 1 baseline and were linked to the 2010 Social, Economic and Environmental Factors (SEEF) survey dataset. Mental health manifestations are common in PD with 29% and 32% reporting a previous medical diagnosis of anxiety and depression, respectively. Rural locality was associated with an increased likelihood of psychological distress, anxiety, and depression compared to metropolitan locality. Discussion: Mental health status in PD was associated with living in rural areas, medical service access, female gender, ageing, physical mobility, Australian born, social interactions, and in a coupled relationship. Conclusion: Further research is required on the longitudinal impact of these associations on mental health in PD. [ABSTRACT FROM AUTHOR]

Objective This study aims to compare survival from breast, colon, lung, ovarian and rectal cancer by geographical remoteness in New South Wales ( NSW). Design Retrospective population-wide registry study. Setting NSW, Australia. Participants A total of 107 060 NSW residents, who were diagnosed with any of the five cancers between 01 January 2000 and 31 December 2008. Main outcome measures Kaplan- Meier survival curves and proportional hazards regression were used to compare survival by geographical remoteness of residence at diagnosis, controlling for gender, age and extent of disease at diagnosis. Remoteness was classified using standard definitions: major city, inner regional ( InnReg), outer regional ( OutReg) and remote (including very remote). Results Significant differences in survival (likelihood of death) were identified in all five cancers: breast (adjusted hazard ratio( HR) = 1.22 (95% confidence interval ( CI), 1.001-1.48) in regionalised and HR = 1.30 (1.02-1.64) in metastatic disease for OutReg areas); colon ( HR = 1.14 (1.01-1.29) for OutReg areas in metastatic disease); lung ( HR range = 1.08-1.35 (1.01-1.48) for most non-metropolitan areas in all stages of disease excepting regionalised); ovarian ( HR = 1.32 (1.06-1.65) for OutReg areas in metastatic disease, HR = 1.40 (1.04-1.90) for InnReg areas and HR = 1.68 (1.02-2.77) for OutReg areas in unknown stage of disease) and rectal ( HR = 1.37 (1.05-1.78) for OutReg areas in localised and HR = 1.14 (1.002-1.30) for InnReg areas in regionalised disease). Where significant differences were found, major cities tended to show the best survival, whereas OutReg areas tended to show the worst. Although no definitive interpretation could be made regarding remote areas due to small patient numbers, their survival appeared relatively favourable. Conclusions Reasons that contribute to the differences observed and the disparate results between cancer types need to be further explored in order to facilitate targeted solutions in reducing survival inequality between NSW regions. [ABSTRACT FROM AUTHOR]