Abstract Funding Acknowledgements Type of funding sources: Other. Main funding source(s): 1. Fondo de Investigación Sanitaria- Instituto de Salud Carlos III2. SHE Foundation and “la Caixa” Foundation. Background There is a paucity of data on adolescents’ cardiovascular health (CVH) profiles and longitudinal trajectories. Purpose To identify CVH trajectories in a large cohort of Spanish adolescents aged 12 to 16 years and their relationship with sociodemographic variables. Methods This study collected data at approximately 12, 14 and 16 years of age from 1078 adolescents attending 24 secondary schools enrolled in the SI! Program for Secondary Schools trial in Spain [1]. The status (non-ideal = 0 points; ideal = 1 point) of each CVH individual metric (smoking status, body mass index, physical activity, dietary habits, blood pressure, total cholesterol, and blood glucose) was determined following the criteria established by the American Heart Association [2]. An overall CVH score was constructed summing the number of ideal CVH metrics (ranged thus from 0 to 7 points), and poor, intermediate, or ideal overall CVH score was defined as ≤3, 4-5, or 6-7 ideal metrics, respectively [3]. CVH trajectories were identified using latent class trajectory modeling with the Stata command traj [4]. Next, individuals were assigned to the trajectory group they were most likely to belong based on the posterior predictive probabilities of group membership. Results Among 1078 adolescents with a baseline mean (SD) age of 12.5 (0.4) years, 48.5% girls, four distinct CVH trajectory groups were identified: low-stable (56 adolescents [5.0%]), low-rise (232 [21.3%]), intermediate-decline (136 [18.2%]) and intermediate-stable (654 [55.5%]) (Figure 1). Adolescents belonging to the intermediate-stable and the low-stable trajectories showed the highest and lowest overall CVH mean (SD) scores at baseline [4.8 (0.8) and 2.6 (0.9), respectively] (Figure 2). Similar differences were observed for the analysis of overall CVH score as a categorical variable (poor, intermediate, ideal). Sociodemographic differences between CVH trajectories were identified, with the highest proportion of girls, high-income and non-migrant families within the intermediate-stable trajectory. Conclusions In a large cohort of adolescents, ~55% of adolescents showed an intermediate CVH score at baseline and did not decline over time. The characterization of distinct CVH trajectories and sociodemographic differences between them may help tailoring health promotion programs for adolescents.