Sleep health and cognitive function among people with and without HIV: the use of different machine learning approaches.

ABSTRACT: We investigated associations between actigraphy-assessed sleep measures and cognitive function in people with and without HIV using different analytical approaches to better understand these associations and highlight differences in results obtained by these approaches. Cognitive and 7-day/night actigraphy data were collected from people with HIV (PWH) and lifestyle-similar HIV-negative individuals from HIV and sexual health clinics in the United Kingdom/Ireland. A global cognitive T-score was obtained averaging the standardized individual cognitive test scores accounting for sociodemographics. Average and SD of 11 sleep measures over 7 days/nights were obtained. Rank regression, partial least-squares (PLS) regression, random forest, sleep dimension construct, and latent class analysis (LC

SUBMITTER: De Francesco D 

PROVIDER: S-EPMC8361343 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature