Evidence map›Paper›PMID 34634808›Full record

ArticleHealth promotion international2022

Physical activity disparities across Europe: clustering European regions by health-related physical activity levels.

Fernando Lera-Lopez, Rocio Marco

Abstract read
In one paragraph

Article in Health promotion international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Fernando Lera-LopezDepartment of Economics, Public University of Navarra, Campus Arrosadía s/n, 31006 Pamplona, Spain.ORCID 0000-0002-9230-9405
Rocio MarcoDepartment of Applied Economy, Universidad Autónoma de Madrid, Ciudad universitaria de Cantoblanco, Francisco Tomás y Valiente Road, number 5, 28049 Madrid, Spain.

Funding

Spanish Ministerio de Economia, Industria y Competitividad and FEDER ECO2017-86305-C4-4-R AEI/FEDERSpanish Ministerio de Economia, Industria y Competitividad and FEDER grant number ECO2017-86305-C4-4-R AEI/FEDER to F.L.
6 · The paper itself

Abstract

In the context of stagnating global levels of physical activity (PA), this study examines the geographical segmentation of PA at the regional level (196 regions) in Europe. Cluster analysis and multinomial logistic regression are applied. Cluster analysis provides a taxonomy of four differentiated groups according to the health-related PA levels of the European regions. This taxonomy shows that there are significant regional disparities among European countries in terms of the regional PA level. The cluster profiles in terms of regional socioeconomic characteristics are described for each group, emphasizing the regional characteristics associated with PA. Regional economic variables, tertiary education and social Internet use are significant variables for characterizing the types of regions. The results emphasize the relevance of a European regional approach for reducing inter-regional PA disparities and improving health through PA in Europe. Practical implications of this research are based on regional European coordination, such as collaborative models of sport infrastructure use, co-financing of inter-regional facilities, mutual physical educational scholar programs and promotion of common inter-regional sport competitions and sporting events. Finally, formal schemes for exchanging of best regional practices to promote health-enhancing PA might increase the perception and the role of PA at the regional level in the European society.

Indexed as

Health PromotionSportsCluster AnalysisEuropeExerciseHumanscluster analysisdisparityEuropean regionshealthphysical activitysports participationtaxonomy

Identifiers

PMID34634808
PMCPMC9053455

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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.