Evidence map›Paper›PMID 38499955›Full record

ArticleGeroScience2024

Fitness age outperforms body mass index in differentiating aging patterns and health risk profiles of healthy adults aged 51-80 years.

Manca A, Ventura L, Martinez G, Morrone M, Boi A, Fiorito G, Mercante B, Cano A, Catte M G, Cruciani S and 9 more

Open access · hybridAbstract read
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

19 authors at 1 institution in 1 country.

Manca ADepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Ventura LDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Martinez GDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Morrone MDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Boi ADepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Fiorito GDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Mercante BDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Cano ADepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Catte M GDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Cruciani SDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Pozzati CDepartment of History, Human Sciences and Education, University of Sassari, Sassari, Italy.
Uccula ADepartment of History, Human Sciences and Education, University of Sassari, Sassari, Italy.
Ginatempo FDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Maioli MDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Delitala A PDepartment of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy.
Solinas GDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Zinellu ADepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Carru CDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy.
Deriu FDepartment of Biomedical Sciences, University of Sassari, Viale S. Pietro 43/B, 07100, Sassari, Italy. deriuf@uniss.it.ORCID 0000-0001-8235-6091
University of Sassari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical fitness has been extensively shown to strongly associate with general health status and major health risks. Here we tested the ability of a novel estimate of fitness age (FitAge) to differentiate aging trajectories.This study aimed at (1) testing the ability of FitAge to differentiate aging patterns among decelerated, normal, and accelerated agers in selected health domains, (2) estimating the risk for developing major health issues depending on the aging trajectory, and (3) comparing FitAge to body mass index (BMI) categorization in differentiating healthy from unhealthy aging patterns.A total of 176 volunteers participated in this cross-sectional study. Participants underwent clinical screening and a comprehensive assessment of body composition, nutritional and health-related status, cognitive functioning, and haematochemical analyses with routine tests, oxidative stress, and inflammation markers. Scores for major health risks were also computed.FitAge outperformed BMI in estimating major health risk scores and was able to differentiate decelerated from normal and accelerated agers for health risk profile and several physiological domains. Body composition, immune system activation, and inflammation markers emerged as those variables flagging the largest differences between decelerated and accelerated aging patterns.The novel estimate of biological aging can accurately differentiate both in women and men decelerated from accelerated agers in almost all the domains scrutinized. Overall, decelerated aging is linked to positively oriented features which associate with reduced risk of developing major health issues.The present findings have potential relevance and practical implications to identify individuals at higher risk of accelerated aging according to their FitAge estimated via simple and cost-effective motor tests.

Indexed as

AgingBody Mass IndexPhysical FitnessAgedAged, 80 and overBody CompositionCross-Sectional StudiesFemaleHealth StatusHealthy AgingHumansMaleMiddle AgedRisk AssessmentBiological agingCardiovascular diseasesComorbidityFitness ageRisk scores

Identifiers

PMID38499955
PMCPMC11493939
OpenAlexW4392901898

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.