Evidence map›Paper›PMID 39264580›Full record

ArticleAging2024

Longitudinal activity monitoring and lifespan: quantifying the interface.

Su I Iao, Poorbita Kundu, Han Chen, James R Carey, Hans-Georg Müller

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Su I IaoDepartment of Statistics, University of California, Davis, CA 95616, USA.
Poorbita KunduDepartment of Statistics, University of California, Davis, CA 95616, USA.
Han ChenDepartment of Statistics, University of California, Davis, CA 95616, USA.
James R CareyDepartment of Entomology, University of California, Davis, CA 95616, USA.
Hans-Georg MüllerDepartment of Statistics, University of California, Davis, CA 95616, USA.

Funding

Program Development (Pilot)P30AG012839 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI RONALD D LEE · 1999 to 2026
$18.6M
NIA NIH HHS P30 AG012839
6 · The paper itself

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.

Indexed as

LongevityAgingAnimalsBehavior, AnimalCeratitis capitataHumansLongitudinal StudiesReproductionage-at-deathforce of mortalityfunctional data analysislongitudinal datamediterranean fruit fly

Identifiers

PMID39264580
PMCPMC11424592

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.