A Multinomial Model for Comorbidity in England of Long-standing Cardiovascular Disease, Diabetes, and Obesity

Morrissey, Karyn, Espuny Pujol, Ferran and Williamson, Paul ORCID: 0000-0002-8836-6570
(2016) A Multinomial Model for Comorbidity in England of Long-standing Cardiovascular Disease, Diabetes, and Obesity. Health & Social Care In The Community, 24 (6). pp. 717-727.

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Comorbidity has been found to be significantly related to increased levels of mortality, decreased functional status and quality of life, increasing dependence on health services and an increased risk of mental and social problems. Previous research on comorbidity has mainly focused on identifying the most common groupings of illnesses found amongst elderly health care users. In contrast, this paper pools data from the Health Survey for England from 2008 to 2012 to form a representative sample of individuals in private households in England to explore the risk of comorbidity amongst the general population; and to take account of not only the demographic, but also the socioeconomic and area level determinants of comorbidity. Using a multinomial logistic model, this research confirms that age and gender are significant predictors for cardiovascular disease, diabetes and obesity, whether examined singly or in any comorbidity combination. Across the seven possible disease combinations, the odds ratios are lowest for those individuals with a high income (6 out of 7), home owning (5 out of 7), degree educated (7 out of 7), and living in the least deprived area (6 out of 7), when controlling for demographic and smoking characteristics. The important influence of socioeconomic factors associated with comorbidity risk indicates that health care policy needs to move from a focus on age profiles to take better account of individual and local area socioeconomic circumstances.

Item Type: Article
Uncontrolled Keywords: cardiovascular disease, comorbidity, diabetes, general population, obesity, socioeconomic profile
Depositing User: Symplectic Admin
Date Deposited: 17 Mar 2017 15:10
Last Modified: 19 Jan 2023 07:09
DOI: 10.1111/hsc.12251
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3006497