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

Ramya Walsan, Darren J Mayne, Xiaoqi Feng, Nagesh Pai and Andrew Bonney
Additional contact information
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
Xiaoqi Feng: Illawarra Health and Medical Research Institute, Wollongong 2522, Australia
Nagesh Pai: School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong 2522, Australia
Andrew Bonney: School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong 2522, Australia

IJERPH, 2019, vol. 16, issue 20, 1-9

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.

Keywords: neighbourhood disadvantage; serious mental illness; type 2 diabetes; comorbidity (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/16/20/3905/pdf (application/pdf)
https://www.mdpi.com/1660-4601/16/20/3905/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:16:y:2019:i:20:p:3905-:d:276529

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().