2026-04-17T14:27:43Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/2081242025-12-05T16:24:23Zcom_2072_1057col_2072_478917col_2072_478921

00925njm 22002777a 4500 dc Bodega, Patricia author Santos-Beneit, Gloria author de Cos-Gandoy, Amaya author Moreno, Luis Alberto author Miguel, Mercedes de author Orrit, Xavier author Tresserra i Rimbau, Anna author Martínez Gómez, Jesús author Ramírez-Garza, Sonia L. author Laveriano-Santos, Emily P. author Arancibia Riveros, Camila author Estruch Riba, Ramon author Lamuela Raventós, Rosa Ma. author Fernández Jiménez, Rodrigo author Fernández Alvira, Juan Miguel author 2024-02-27T12:14:25Z 2024-02-27T12:14:25Z 2023-08-12 2024-02-27T12:14:25Z <p><span style="color:rgb( 46 , 46 , 46 )">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.</span></p> Adolescents Hàbits sanitaris Teenagers Health behavior Clustering of lifestyle behaviors and adiposity in early adolescents in Spain: findings from the SI! Program for Secondary Schools