Exploring the predictors of financial impairment in Huntington's disease using the Enroll-HD dataset.

ABSTRACT:

Objectives

Huntington's disease (HD) is a neurodegenerative disease in which cognitive and behavioural symptoms impair the performance of instrumental activities of daily living, including the handling of finances. We sought to determine the prevalence of financial dysfunction in HD, and the demographic and clinical predictors of such impairments.

Methods

We analysed longitudinal data for pre-manifest gene carriers and HD patients from the Enroll-HD dataset. Financial dysfunction was determined by finance-related items in the Total Functional Capacity (TFC) and Functional Assessment (FA) scales. A binary logistical regression model was used to investigate the predictive value of demographic and clinical factors for the development of financial dysfunction.

Results

Fin

SUBMITTER: Harris KL 

PROVIDER: S-EPMC9217841 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature