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Age-specific difference in the temporal relationships between updated cardiovascular health construct and arterial stiffness in middle-aged and older adults.

Jiaojiao HuangXiaoli XuYingxia ZhouZhuojun XinQiuyu CaoRuixin HeTianzhichao HouYi DingJieli LuTiange WangZhiyun ZhaoYu XuWeiqing WangGuang NingMin XuLong WangYu-Fang BiMian Li
Published in: GeroScience (2023)
Previous studies have found that the association between modifiable risk factors and arterial stiffness varied with age. We aimed to explore the age-specific difference in the relationship between new cardiovascular health (CVH) score and arterial stiffness and further detected the age-specific temporal relationships in a prospective cohort study. During a median 4.3 years follow-up, 3757 participants were recruited in this study. A modified AHA "Life's Essential 8" construct (mLE8 with lacking information on diet habits) was used to evaluate CVH. Branchial-ankle pulse wave velocity (baPWV) was measured to assess arterial stiffness. Data were analyzed with logistic regression models, restricted cubic splines (RCS), and cross-lagged path analysis (age < 60 vs. age ≥ 60). In age-stratified analysis, moderate (OR = 2.21, 95% CI 1.11-4.43) and low (OR = 3.37, 95% CI 1.63-7.00) CVH were related with a higher incidence of elevated baPWV compared to high CVH in middle-aged adults, while this association was not detected in older adults. RCS curve showed a steeper linear association between CVH score and elevated baPWV in middle-aged adults than older individuals. In the cross-lagged path analysis, the decline in CVH score preceded the increment in arterial stiffness in middle-aged adults, but they appeared to alter simultaneously in older adults. Our study detected an age-specific difference in the relationship between mLE8 CVH score and elevated baPWV and showed that low CVH preceded alterations of baPWV in middle-aged adults, suggesting the importance of improvement in CVH during the early stage of the lifespan.
Keyphrases
  • middle aged
  • blood pressure
  • risk factors
  • physical activity
  • early stage
  • healthcare
  • electronic health record
  • blood flow
  • deep learning
  • sentinel lymph node