The impact of modifiable health metrics on mortality for older adults with low cognitive function.

ABSTRACT:

Objectives

Cognitive impairment has emerged as a major contributing factor to mortality for older adults. Identifying the strong modifiable health metrics against mortality is of high priority, especially in this high-risk population.

Methods

This population-based study used data of US adults aged≥60 years old from the National Health and Nutrition Examination Survey 2011-2014 cycles. De-identified data for participants who completed cognitive function test were extracted. Mortality data was obtained by linking to the 2019 public-use linked mortality file.

Results

Participants with low global cognition had higher risk of all-cause mortality (HR = 1.46; 95%CI, 1.04-2.05). The highest prevalence of ideal level of health metrics was observed for sleep duration (54.36% vs

SUBMITTER: Wang W 

PROVIDER: S-EPMC10850326 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature