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Examining the Association between Neighbourhood Socioeconomic Disadvantage and Type 2 Diabetes Comorbidity in Serious Mental Illness

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  • Ramya Walsan

    (School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong 2522, Australia)

  • Darren J Mayne

    (School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong 2522, Australia
    Illawarra Health and Medical Research Institute, Wollongong 2522, Australia
    Illawarra Shoalhaven Local Health District, Public Health Unit, Warrawong 2502, Australia
    The University of Sydney, School of Public Health, Sydney 2006, Australia)

  • Xiaoqi Feng

    (Illawarra Health and Medical Research Institute, Wollongong 2522, Australia
    Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong 2522, Australia
    School of Public Health and Community Medicine, University of New South Wales, Kennington 2031, Australia)

  • Nagesh Pai

    (School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong 2522, Australia
    Illawarra Health and Medical Research Institute, Wollongong 2522, Australia
    Mental Health Services, Illawarra Shoalhaven Local Health District, Wollongong Hospital, Wollongong 2500, Australia)

  • Andrew Bonney

    (School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong 2522, Australia
    Illawarra Health and Medical Research Institute, Wollongong 2522, Australia)

Abstract

This study examined the association between neighbourhood socioeconomic disadvantage and serious mental illness (SMI)–type 2 diabetes (T2D) comorbidity in an Australian population using routinely collected clinical data. We hypothesised that neighbourhood socioeconomic disadvantage is positively associated with T2D comorbidity in SMI. The analysis considered 3816 individuals with an SMI living in the Illawarra and Shoalhaven regions of NSW, Australia, between 2010 and 2017. Multilevel logistic regression models accounting for suburb (neighbourhood) level clustering were used to assess the association between neighbourhood disadvantage and SMI -T2D comorbidity. Models were adjusted for age, sex, and country of birth. Compared with the most advantaged neighbourhoods, residents in the most disadvantaged neighbourhoods had 3.2 times greater odds of having SMI–T2D comorbidity even after controlling for confounding factors (OR 3.20, 95% CI 1.42–7.20). The analysis also revealed significant geographic variation in the distribution of SMI -T2D comorbidity in our sample (Median Odds Ratio = 1.35) Neighbourhood socioeconomic disadvantage accounted for approximately 17.3% of this geographic variation. These findings indicate a potentially important role for geographically targeted initiatives designed to enhance prevention and management of SMI–T2D comorbidity in disadvantaged communities.

Suggested Citation

  • Ramya Walsan & Darren J Mayne & Xiaoqi Feng & Nagesh Pai & Andrew Bonney, 2019. "Examining the Association between Neighbourhood Socioeconomic Disadvantage and Type 2 Diabetes Comorbidity in Serious Mental Illness," IJERPH, MDPI, vol. 16(20), pages 1-9, October.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:20:p:3905-:d:276529
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    References listed on IDEAS

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