Evidence map›Paper›PMID 39683600›Full record

ArticleNutrients2024

Associations Between Metabolic Age, Sociodemographic Variables, and Lifestyle Factors in Spanish Workers.

Ignacio Ramírez-Gallegos, Marta Marina-Arroyo, Ángel Arturo López-González, Daniela Vallejos, Emilio Martínez-Almoyna-Rifá, Pedro Juan Tárraga López, José Ignacio Ramírez-Manent

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Ignacio Ramírez-GallegosADEMA-Health Group University Institute of Health Sciences Research (IUNICS), 07009 Palma, Balearic Islands, Spain.
Marta Marina-ArroyoADEMA-Health Group University Institute of Health Sciences Research (IUNICS), 07009 Palma, Balearic Islands, Spain.ORCID 0009-0003-4306-2447
Ángel Arturo López-GonzálezADEMA-Health Group University Institute of Health Sciences Research (IUNICS), 07009 Palma, Balearic Islands, Spain.ORCID 0000-0002-7439-8117
Daniela VallejosADEMA-Health Group University Institute of Health Sciences Research (IUNICS), 07009 Palma, Balearic Islands, Spain.
Emilio Martínez-Almoyna-RifáADEMA-Health Group University Institute of Health Sciences Research (IUNICS), 07009 Palma, Balearic Islands, Spain.
Pedro Juan Tárraga LópezFaculty of Medicine, University of Castilla la Mancha, 02008 Albacete, Castilla-La Mancha, Spain.ORCID 0000-0002-5222-5784
José Ignacio Ramírez-ManentADEMA-Health Group University Institute of Health Sciences Research (IUNICS), 07009 Palma, Balearic Islands, Spain.ORCID 0000-0001-6887-4562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic age is defined as an estimation of a person's age based on their basal metabolic rate (BMR) and other physiological health indicators. Unlike chronological age, which simply measures the number of years lived since birth, metabolic age is based on various health and fitness markers that estimate the body's "true" biological age and can be assessed using various methodologies, including bioimpedance. The aim of this study was to evaluate how age, sex, social class, smoking habits, physical activity, and adherence to the Mediterranean diet influence metabolic age.

methodsA cross-sectional, descriptive study was conducted on 8590 Spanish workers in the Balearic Islands. A series of sociodemographic variables and health-related habits were assessed, while metabolic age was measured using bioimpedance. A metabolic age exceeding chronological age by 12 years or more was considered high. A descriptive analysis of categorical variables was performed by calculating their frequency and distribution. By applying multivariate models, specifically multinomial logistic regression, we observe that all independent variables (sex, age, social class, physical activity, mediterranean diet, and smoking) show varying levels of association with the occurrence of high metabolic age values. Among these independent variables, those showing the highest degree of association, represented by odds ratios, are physical activity, adherence to the Mediterranean diet, and social class. In all cases, the observed differences demonstrate a high level of statistical significance (

resultsThe factors with the greatest influence were physical inactivity, with an OR of 5.07; and low adherence to the Mediterranean diet, with an OR of 2.8; followed by social class, with an OR of 2.51. Metabolic age increased with chronological age and was higher in males, with an OR of 1.38. Smoking also had a negative impact on metabolic age, with an OR of 1.19.

conclusionsMediterranean diet is associated with a higher metabolic age. The most influential factors on metabolic age are physical activity and adherence to the Mediterranean diet, followed by the individual's socioeconomic class. Smoking also contributes to increased metabolic age, albeit to a lesser extent.

Indexed as

Diet, MediterraneanExerciseLife StyleAdultAgedAge FactorsAgingCross-Sectional StudiesFemaleHumansMaleMiddle AgedSex FactorsSmokingSocial ClassSociodemographic Factorslifestylemediterranean dietmetabolic agephysical activitysmokingsocial class

Identifiers

PMID39683600
PMCPMC11644425

What Socratic 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 Socratic graph.