Assessment of a Pre-Statistical Frailty Harmonization in Five US-Based Studies of Older Adults
Lacey Etzkorn, Sunan Guo, Anis Davoudi, Brian Buta, Qian-Li Xue, Karen Bandeen-Roche, Amal Wanigatunga, Jennifer Schrack

TL;DR
Researchers compared how five U.S. studies define frailty in older adults and found significant differences in how frailty is measured across the studies.
Contribution
The study evaluates a pre-statistical harmonization approach for frailty phenotype definitions across five diverse studies.
Findings
Frailty prevalence varied significantly across studies, with 11.1% classified as frail.
Study-specific criteria for slow gait, weak grip, and low energy showed wide variability.
Adjusting for demographics did not reduce differences in frailty classification between studies.
Abstract
Pre-statistical harmonization—careful comparison of study-to-study inclusion criteria, protocols, instruments, and data formats—is an essential step in consistently characterizing the Frailty Phenotype across studies. We explored a pre-statistical harmonization strategy for characterizing frailty in ACHIEVE, ARIC, BLSA, NHATS, and STURDY. Ambulatory study participants aged ≥70 years without Parkinson’s disease who wore an accelerometer at a recent study visit were included. Robust, prefrail, and frail phenotypes were defined as 0, 1-2, or 3-5 of: low energy, low physical activity, slow gait, weak grip, and unintentional weight loss or low body mass index, respectively. Slow gait was identified over 3-6 meters or medical preclusion. Weak grip was identified using a hand dynamometer or medical preclusion. Weight loss was self-reported (except ACHIEVE). Low physical activity was defined…
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Taxonomy
TopicsFrailty in Older Adults · Chronic Disease Management Strategies · Nutrition and Health in Aging
