Longitudinal activity monitoring and lifespan: quantifying the interface.
Aging (Albany NY)
; 16(17): 12108-12122, 2024 Sep 09.
Article
in En
| MEDLINE
| ID: mdl-39264580
ABSTRACT
Understanding the relationship between activity over the entire lifespan and longevity is an important facet of aging research. We present a comprehensive framework for the statistical analysis of longitudinal activity and behavioral monitoring and their relationship with age-at-death at the individual level, highlighting the importance of advanced methodological approaches in aging research. The focus is on animal models, where continuous monitoring activity in terms of movement, reproduction and behaviors over the entire lifespan is feasible at the individual level. We specifically demonstrate the methodology with data on activity monitoring for Mediterranean fruit flies. Advanced statistical methodologies to explore the interface between activity and age-at-death include functional principal component analysis, concurrent regression, Fréchet regression and point processes. While the focus of this perspective is on relating age-at-death with data on movement, reproduction, behavior and nutrition of Mediterranean fruit flies, the methodology equally pertains to data from other species, including human data.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Longevity
Limits:
Animals
/
Humans
Language:
En
Journal:
Aging (Albany NY)
Journal subject:
GERIATRIA
Year:
2024
Document type:
Article
Affiliation country:
United States
Country of publication:
United States