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Clustering of lifestyle behaviors and adiposity in early adolescents in Spain: findings from the SI! Program for Secondary Schools

cc-by (c) Bodega P et al., 2023 http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess ;ISSN: 1471-2458 ;EISSN: 1471-2458 ;DOI: 10.1186/s12889-023-16461-6

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  • Title:
    Clustering of lifestyle behaviors and adiposity in early adolescents in Spain: findings from the SI! Program for Secondary Schools
  • Author: Bodega, Patricia ; Santos-Beneit, Gloria ; de Cos-Gandoy, Amaya ; Moreno, Luis Alberto ; Miguel, Mercedes de ; Orrit, Xavier ; Tresserra i Rimbau, Anna ; Martínez Gómez, Jesús ; Ramírez-Garza, Sonia L ; Laveriano-Santos, Emily P ; Arancibia Riveros, Camila ; Estruch Riba, Ramon ; Lamuela Raventós, Rosa Ma ; Fernández Jiménez, Rodrigo ; Fernández Alvira, Juan Miguel
  • Subjects: Adolescents ; Health behavior ; Hàbits sanitaris ; Teenagers
  • Description: Background: Several unhealthy lifestyle behaviors in adolescence are often linked to overweight/obesity. Some of them may be present simultaneously, leading to combined effects on health. Therefore, the clustering of several unhealthy behaviors in adolescents might be associated with adiposity excess. Purpose: To identify lifestyle patterns and analyze their association with adiposity in early adolescents. Methods: A cross-sectional cluster analysis was performed in 1183 adolescents (50.5% girls) with a mean age of 12.5 (0.4) years included in the SI! Program for Secondary Schools in Spain to identify lifestyle patterns based on healthy diet, step counts, sleep time, and leisure screen time. Generalized mixed models were applied to estimate the association between lifestyle patterns and adiposity indices. Results: Four lifestyle patterns were derived: Cluster 1-higher screen time and poorer diet (n = 213), Cluster 2-lower activity and longer sleepers (n = 388), Cluster 3-active and shorter sleepers (n = 280), and Cluster 4-healthiest (n = 302). Except for the number of steps (12,008 (2357) day), the lifestyle behaviors in our sample presented levels far below the recommendations, especially for sleep duration. Cluster 4 included the largest proportion of adolescents from high socioeconomic status families (47.7%) and the lowest prevalence of overweight/obesity (23.1%). Compared to Cluster 4-healthiest, adolescents in the remaining clusters presented a higher prevalence of overweight/obesity and central obesity, showing Cluster 3 the highest prevalences (PR:1.31 [95%CI: 1.31, 1.31] and PR:1.40 [95%CI: 1.33, 1.47]). Conclusions: Clustering of lifestyle patterns in early adolescence allows the identification of individuals with excess adiposity, in whom health promotion strategies should be stressed, especially in socioeconomically disadvantaged groups. Trial registration: Clinical Trial Registry, NCT03504059. Registered 20/04/2018—Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03504059 . © 2023, BioMed Central Ltd., part of Springer Nature.
  • Publisher: BioMed Central
  • Creation Date: 2023-08
  • Language: English
  • Identifier: ISSN: 1471-2458
    EISSN: 1471-2458
    DOI: 10.1186/s12889-023-16461-6
  • Source: GFMER Free Medical Journals
    PubMed Central
    Springer Nature OA/Free Journals
    Diposit Digital de la Universitat de Barcelona
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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