Exploring variability in daily health‐related behaviors as a feature of exceptional cognitive aging in people 80+ years of age: Early findings from the SuperAging Research Initiative

Objective capture of health-related behaviours in 80+ year olds has been rare but is important, highlighted by the variability observed among study participants. While results should be interpreted cautiously, volumetric measures of behavior do not appear to differentiate SuperAgers from Controls. This underscores the necessity for further investigation into the structure and relationship of behavioural patterns using more advanced measures of variability (e.g. ApEN, LZC, Gini index), which are underway for this unique dataset.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70861_108450
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring variability in daily health‐related behaviors as a feature of exceptional cognitive aging in people 80+ years of age: Early findings from the SuperAging Research Initiative

Andrew Lim, Benjamin Cornish, Amanda Cook Maher, Adam Martersteck et al.
Alzheimer s & Dementia
Technology Use by Older Adults
article

Exploring variability in daily health‐related behaviors as a feature of exceptional cognitive aging in people 80+ years of age: Early findings from the SuperAging Research Initiative

Andrew Lim, Benjamin Cornish, Amanda Cook Maher, Adam Martersteck, Ivan Culum, Karen Van Ooteghem, Emily Rogalskı, Rhiana Schafer, Elizabeth Finger, Kit B. Beyer, Angela Roberts, William E. McIlroy, Richard H. Swartz, Emily Narayan, Desmond O. Oklikah, Ozioma C. Okonkwo, Felicia C. Goldstein
article en

Abstract

Objective capture of health-related behaviours in 80+ year olds has been rare but is important, highlighted by the variability observed among study participants. While results should be interpreted cautiously, volumetric measures of behavior do not appear to differentiate SuperAgers from Controls. This underscores the necessity for further investigation into the structure and relationship of behavioural patterns using more advanced measures of variability (e.g. ApEN, LZC, Gini index), which are underway for this unique dataset.

Alzheimer s & DementiaVol. 21(S7)
Western University (CA), Alzheimer's Association (US), Lawson Health Research Institute (CA), University of Wisconsin–Madison (US), Emory University (US), University of Waterloo (CA), University of Toronto (CA), University of Michigan (US), Sunnybrook Hospital (CA), Sunnybrook Research Institute, McMaster University (CA)
Gender equality
Openalex Percentile: Top 20%
Technology Use by Older Adults
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