Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease (Aug 2024)

Sociodemographic Correlates of High Cardiovascular Health Across Childhood and Adolescence: A Prospective Study Among 2 Cohorts in the ECHO Consortium

  • Wei Perng,
  • Noya Galai,
  • Qi Zhao,
  • Augusto Litonjua,
  • Sarah Geiger,
  • Katherine A. Sauder,
  • T. Michael O'Shea,
  • Marie‐France Hivert,
  • Emily Oken,
  • Dana Dabelea,
  • Izzuddin M. Aris

DOI
https://doi.org/10.1161/JAHA.124.036279
Journal volume & issue
Vol. 13, no. 15

Abstract

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Background This study seeks to characterize cardiovascular health (CVH) from early childhood to late adolescence and identify sociodemographic correlates of high CVH that serve as levers for optimizing CVH across early life. Methods and Results Among 1530 youth aged 3 to 20 years from 2 cohorts in the ECHO (Environmental Influences on Child Health Outcomes) consortium, we first derived CVH scores on the basis of the Life's Essential 8 construct comprising 4 behavioral (nicotine use/exposure, physical activity, sleep, and diet) and 4 health factors (body mass index, blood pressure, non–high‐density lipoprotein cholesterol, and fasting glucose) during early childhood (mean age, 3.5 years), middle childhood (8.0 years), early adolescence (13.3 years), and late adolescence (17.8 years). Next, we used generalized regression to estimate the probability of high (versus not high) CVH with respect to sociodemographic characteristics. Overall CVH score was stable across life stages: 81.2±7.6, 83.3±8.0, and 81.7±8.9 of 100 possible points in early childhood, middle childhood, and early adolescence, respectively. Accordingly, during these life stages, most children (63.3%–71.5%) had high CVH (80 to $70 000. These associations were driven by behavioral factors. Conclusions Although most youth maintained high CVH across childhood, the decline by late adolescence indicates that cardiovascular disease prevention should occur before the early teen years. Disparities in high CVH over time with respect to sociodemographic characteristics were explained by behavioral factors, pointing toward prevention targets.

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