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Dataset Information

Examine the association between key determinants identified by the chronic disease indicator framework and multimorbidity by rural and urban settings.


ABSTRACT:

Background

Multimorbidity, often defined as having two or more chronic conditions is a global phenomenon. This study examined the association between key determinants identified by the chronic disease indicator framework and multimorbidity by rural and urban settings. The prevalence of individual diseases was also investigated by age and sex.

Methods

The Canada Community Health Survey and linked health administrative databases were used to examine the association between multimorbidity, sociodemographic, behavioral, and other risk factors in the province of Ontario. A multivariable logistic regression model was used to conduct the main analysis.

Results

Analyses were stratified by age (20-64 and 65-95) and area of residence (rural and urban). A total sample of n = 174

SUBMITTER: Moin JS 

PROVIDER: S-EPMC8252380 | biostudies-literature | 2021 Jan-Dec

REPOSITORIES: biostudies-literature