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Dataset Information

Seniors' self-reported multimorbidity captured biopsychosocial factors not incorporated into two other data-based morbidity measures.


ABSTRACT:

Objective

To explore the constructs underlying a self-report assessment of multimorbidity.

Study design and setting

We conducted a cross-sectional survey of 352 HMO members aged 65 years or more with, at a minimum, diabetes, depression, and osteoarthritis. We assessed self-reported 'disease burden' (a severity-adjusted count of conditions) as a function of biopsychosocial factors, two data-based comorbidity indices, and demographic variables.

Results

In multivariate regression, age, 'compound effects of conditions' (treatments and symptoms interfering with each other), self-efficacy, financial constraints, and physical functioning were significantly (p

SUBMITTER: Bayliss EA 

PROVIDER: S-EPMC2743235 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature