Evidence map›Paper›PMID 40050411›Full record

ArticleScientific reports2025

A functional approach to model intrinsic capacity in ageing trajectories.

Mary Carlota Bernal, Edgar Batista, Antoni Martínez-Ballesté, Agusti Solanas

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Functional, molecular, and digital measurements of biological age.The Journal of clinical investigation · 2026
    Review
  5. Association between intrinsic capacity and dementia risk in older Mexicans.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
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

4 authors.

Mary Carlota BernalSmart Technologies Research Group, Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007, Tarragona, Catalonia, Spain.
Edgar BatistaSmart Technologies Research Group, Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007, Tarragona, Catalonia, Spain. edgar.batista@urv.cat.
Antoni Martínez-BallestéSmart Technologies Research Group, Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007, Tarragona, Catalonia, Spain.
Agusti SolanasSmart Technologies Research Group, Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007, Tarragona, Catalonia, Spain.

Funding

Agència de Gestió d'Ajuts Universitaris i de Recerca 2021SGR-00111Ministerio de Ciencia, Innovación y Universidades, Gobierno de España PID2021-127409OB-C33
6 · The paper itself

Abstract

The ageing process is a multifaceted phenomenon that affects individuals' physical, cognitive, and psychological well-being over time. To promote healthy ageing, in the mid-2010s, the World Health Organisation introduced the concept of intrinsic capacity (IC) as the set of physical and mental capacities of an individual. These capacities, categorised into five domains, namely cognition, vitality, locomotion, psychological well-being, and sensory, are assessed by healthcare practitioners using the ICOPE guidelines, a laborious and time-consuming task. This study leverages existing data from longitudinal studies, such as the well-known Health and Retirement Study, to align their dimensions with the ICOPE framework and understand how existing ageing trajectories fit within the new IC paradigm. Moreover, a novel IC scoring system has been validated statistically using linear mixed models, and a simple yet comprehensive data visualisation strategy has been designed to illustrate IC trajectories. Results show the significant negative impact of time on all IC domains, except psychological well-being, showing a gradual IC decline over the years. Additionally, significant associations between lifestyle factors, such as physical activity, alcohol and tobacco consumption, and body mass index, with IC trajectories have been identified. This work suggests the feasibility of using existing longitudinal studies to quantitatively model IC ageing trajectories following the ICOPE framework.

Indexed as

AgingAgedAged, 80 and overCognitionExerciseFemaleHealthy AgingHumansLife StyleLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID40050411
PMCPMC11885805

What OpenQuestion holds

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Registered trials

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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.