Evidence map›Paper›PMID 40980091›Full record

ArticleFrontiers in sports and active living2025

Estimation of the burden of disease averted by leisure center membership across Spain.

Alfonso Jimenez, Inés Nieto, Xian Mayo, Pablo Bascones, Jesús De Soto Cardenal, Alfonso Arroyo, Gary Liguori, Larissa Davies

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

8 authors.

Alfonso JimenezResearch Centre in Sports Science, King Juan Carlos University, Fuenlabrada, Madrid, Spain.
Inés NietoResearch Centre in Sports Science, King Juan Carlos University, Fuenlabrada, Madrid, Spain.
Xian MayoResearch Centre in Sports Science, King Juan Carlos University, Fuenlabrada, Madrid, Spain.
Pablo BasconesSustainability and Climate Change, PricewaterhouseCoopers (PwC), Madrid, Spain.
Jesús De Soto CardenalSustainability and Climate Change, PricewaterhouseCoopers (PwC), Madrid, Spain.
Alfonso ArroyoResearch Centre in Sports Science, King Juan Carlos University, Fuenlabrada, Madrid, Spain.
Gary LiguoriPenn State Abington, Abington, PA, United States.
Larissa DaviesSport Policy Unit, Department for People and Performance, Faculty of Business and Law Institute of Sport, Manchester Metropolitan University, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Active behavior performed in leisure centers might help reduce the negative health impacts associated with physical inactivity. The disability-adjusted life years (DALYs) is a valuation technique to quantify lifetime disease burden including both non-fatal health consequences of diseases and premature death. Method: This study estimated the role of the largest leisure center in Spain (GO fit) in averting the burden of five diseases and premature deaths during 2017 as a consequence of the physical activity and exercise programs and services delivered. A preferred model was implemented with a static picture of the burden of disease, without including discounting rate and age-weights. Sensitivity analyses were conducted considering these two variables. Results: The estimation was that GO fit services could have averted a total of 1,165.74 DALYs (10.96 DALYs per 1,000 members) coming from type 2 diabetes (22.62 DALYs), colorectal cancer (81.16 DALYs), breast cancer (48.72 DALYs), stroke (206.15 DALYs), and coronary heart disease (807.10 DALYs). Discussion: These results indicate that programs and services delivered in physical activity leisure centers could help the public health agenda aim of promoting a more active lifestyle and reducing the burden of disease associated with physical inactivity.

Indexed as

burden of diseaseDALYleisure centersmortalityphysical activity

Identifiers

PMID40980091
PMCPMC12447772

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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.