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Clustering patterns of physical fitness, physical activity, Sedentary, and dietary Behavior among school children

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dc.contributor.authorLópez-Gil, José Francisco
dc.contributor.authorBrazo-Sayavera, Javier
dc.contributor.authorGarcía-Hermoso, Antonio
dc.contributor.authorCamargo, Edina María de
dc.contributor.authorYuste Lucas, Juan Luis
dc.contributor.departmentExpresión Plástica, Musical y Dinámica
dc.date.accessioned2026-01-15T12:37:17Z
dc.date.available2026-01-15T12:37:17Z
dc.date.copyright© 2020, Mary Ann Liebert, Inc.
dc.date.issued2020-12-02
dc.description.abstractBackground: Some healthy lifestyle behaviors may have a greater impact on childhood obesity in combination, compared to the independent effects of those behaviors in an isolated manner. The present study aimed to identify the different healthy lifestyle patterns of children according to their physical fitness, physical activity (PA) patterns, screen time, and adherence to the Mediterranean Diet, as well as to examine the association between anthropometric indicators and the membership to a certain cluster. Methods: A final sample of 353 Spanish school children (45.9% females) from the Region of Murcia (Spain) was included in this study (aged 6–13). First, we conducted a hierarchical cluster analysis using Ward’s method; based on squared Euclidean distances. Second, we used the k-means cluster analysis to get the final cluster solution. Results: Three different clusters were established: Cluster 1 [high cardiorespiratory fitness (CRF), PA, and Mediterranean Diet], Cluster 2 (low CRF, PA, and Mediterranean Diet + high muscular strength), and Cluster 3 (low physical fitness and PA). Cluster 3 had negative values in all the health-related variables analyzed. Regarding the anthropometric parameters analyzed (BMI, triponderal mass index, waist-to-height ratio, and body fat percentage), Cluster 3 presented the highest values in all anthropometric parameters than the other two clusters ( p < 0.001), while Cluster 1 showed the lowest values. Conclusions: The study has identified three clusters respect to health-related variables with the higher prevalence in the cluster established as the unhealthiest lifestyle. Also, cluster classification is associated to obesity indicators such as BMI, tri-ponderal mass index, waist-to-height ratio, and body fat percentage.
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dc.identifier.citationLópez-Gil JF, Brazo-Sayavera J, García-Hermoso A, Camargo EM, Yuste Lucas JL. Clustering Patterns of Physical Fitness, Physical Activity, Sedentary, and Dietary Behavior among School Children. Childhood Obesity. 2020 Dec;16(8):564-570
dc.identifier.eissn2153-2176
dc.identifier.issn2153-2168
dc.identifier.urihttp://hdl.handle.net/10201/187270
dc.languageeng
dc.publisherSAGE Publications, Mary Ann Liebert
dc.relationSin financiación externa a la Universidad
dc.relation.publisherversionhttps://www.liebertpub.com/doi/10.1089/chi.2020.0185
dc.relation.requireshttps://doi.org/10.1089/chi.2020.0185
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRisk behavior
dc.subjectPhysical activity
dc.subjectObesity
dc.subjectNutrition
dc.subjectHealth promotion program
dc.subject.odsObjetivo 4: Educación
dc.subject.odsObjetivo 3: Salud
dc.titleClustering patterns of physical fitness, physical activity, Sedentary, and dietary Behavior among school children
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublicationes
relation.isAuthorOfPublication6ceb186d-28b7-4cdf-8f44-b4a2c71b2f29
relation.isAuthorOfPublication.latestForDiscovery6ceb186d-28b7-4cdf-8f44-b4a2c71b2f29
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