Unknown

Dataset Information

Modified STEADI Fall Risk Categories Predict Incident Cognitive Impairment.


ABSTRACT:

Background/objectives

It is unknown whether older adults at high risk of falls but without cognitive impairment have higher rates of subsequent cognitive impairment.

Design

This was an analysis of cross-sectional and longitudinal data from National Health and Aging Trends Study (NHATS).

Setting

NHATS, secondary analysis of data from 2011 to 2019.

Participants

Community dwelling adults aged 65 and older without cognitive impairment.

Measurements

Participants were classified at baseline in three categories of fall risk (low, moderate, severe) using a modified algorithm from the Center for Disease Control's STEADI (Stop Elderly Accidents, Deaths, and Injuries) and fall risk from data from the longitudinal NHATS. Impaired global cognition was defined as NHAT

SUBMITTER: Crow RS 

PROVIDER: S-EPMC8232824 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature