Evidence map›Paper›PMID 40428007›Full record

ArticleHealthcare (Basel, Switzerland)2025

Quality of Life in European Adults and Older with All-Over Pain: Relationship with Frequency of Moderate and Vigorous Physical Activity and Decision Prediction Models with Cross-Sectional Data.

Angel Denche-Zamorano, Daniel Collado-Mateo, Juan Manuel Franco-Garcia, José Carmelo Adsuar, Diana Salas-Gómez

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  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

5 authors.

Angel Denche-ZamoranoPromoting a Healthy Society Research Group (PHeSO), Faculty of Sports Sciences, University of Extremadura, 10003 Cáceres, Spain.ORCID 0000-0002-5740-305X
Daniel Collado-MateoCentre for Sport Studies, Rey Juan Carlos University, 28943 Madrid, Spain.ORCID 0000-0002-5140-465X
Juan Manuel Franco-GarciaHealth, Economy, Motricity and Education (HEME) Research Group, Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain.ORCID 0000-0001-7977-6837
José Carmelo AdsuarPromoting a Healthy Society Research Group (PHeSO), Faculty of Sports Sciences, University of Extremadura, 10003 Cáceres, Spain.ORCID 0000-0001-7203-3168
Diana Salas-GómezPromoting a Healthy Society Research Group (PHeSO), Faculty of Sports Sciences, University of Extremadura, 10003 Cáceres, Spain.ORCID 0000-0001-6794-7002

Funding

MCIN/AEI/10.13039/501100011033; European Social Found Investing in your future; European Union NextGenetionEU/PRTR FPU20/04201; FPU20/04143Spanish Ministry of Education, Culture and Sport FPU20/04201; FPU20/04143
6 · The paper itself

Abstract

BACKGROUND/

objectivesQuality of life (QoL) is negatively affected in people with all-over pain. Widespread pain has a negative impact on physical function, cognitive function, mental health and mood. Physical activity (PA) may help to improve the QoL in these people. This study aimed to assess the relationships between PA frequency (PAF) and QoL in middle-aged and older European people with all-over pain, in addition to developing and analyzing the performance of a classification and regression tree model (CRT) to predict QoL in this population.

methodsA cross-sectional study of 1025 middle-aged and older European individuals with all-over pain. Relationships between moderate and vigorous PAF and QoL were assessed. A predictive algorithm for QoL was developed using CRT analysis. A cross-validation study was conducted to assess the performance of the model. In addition, a multivariate linear regression model was developed to predict QoL and compare its performance with the CRT model.

resultsHigher PAF and higher QoL were found to be related (

conclusionsPA on a regular basis could improve the QoL of people with all-over pain. Depressive symptoms, self-perceived health, PAF and educational level are predictors of QoL in this population. Our findings provide useful information for assessing QoL in people with all-over pain, offering an easy-to-interpret visual model with similar accuracy to traditional models.

Indexed as

agingexercisefibromyalgiahealth-related quality of lifemachine learning

Identifiers

PMID40428007
PMCPMC12111565

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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.