Karlamangla Arun S, Singer Burton H, Williams David R, Schwartz Joseph E, Matthews Karen A, Kiefe Catarina I, Seeman Teresa E
Division of Geriatrics, UCLA School of Medicine, 10945 Le Conte #2339, Los Angeles, CA 90095-1687, USA.
Soc Sci Med. 2005 Mar;60(5):999-1015. doi: 10.1016/j.socscimed.2004.06.056.
Our objectives were to describe the trajectories of biological risk factors of cardiovascular disease in young adults, and to study the association of socioeconomic status (SES) with aggregate risk scores that summarize longitudinal risk accumulation from multiple risk factors. We used data from a prospective, bi-racial, cohort study of 18-30-year-old adults in the USA, initiated in 1985, with 10-year follow-up. SES was measured by parental education level, financial hardship during the study, and the participant's education level by the end of the study. We studied growth patterns of seven biological risk factors for cardiovascular disease using a semi-parametric, class-mixture model to identify clusters of individuals with distinct growth trajectories. Risk scores that summarize risk from all seven risk factors were created to reflect risk at baseline, longitudinal risk change over 10 years, and total accumulated risk. Multivariable regression was used to study their associations with SES within each race/gender group. We found tracking of all seven risk factors: in each case, the cluster with the highest baseline value maintained its position as the highest-risk cluster over the next 10 years. After adjustment for age, lifestyle, and healthcare access, SES was associated inversely with baseline risk score in women (black and white), with risk change score in all four race/gender groups, and with accumulated risk score in women (black and white) and in white men. Our findings suggest that individuals with high overall cardiovascular risk in midlife can be identified by their relatively higher values of risk factors in younger ages and that socioeconomic differences in cardiovascular risk start accumulating early in life.
我们的目标是描述年轻成年人心血管疾病生物风险因素的轨迹,并研究社会经济地位(SES)与汇总多个风险因素纵向风险积累的综合风险评分之间的关联。我们使用了来自美国一项针对18至30岁成年人的前瞻性、双种族队列研究的数据,该研究始于1985年,随访期为10年。SES通过父母教育水平、研究期间的经济困难以及研究结束时参与者的教育水平来衡量。我们使用半参数类混合模型研究了七种心血管疾病生物风险因素的增长模式,以识别具有不同增长轨迹的个体集群。创建了汇总所有七种风险因素风险的风险评分,以反映基线风险、10年期间的纵向风险变化以及总累积风险。多变量回归用于研究每个种族/性别组中它们与SES的关联。我们发现所有七种风险因素都具有追踪性:在每种情况下,基线值最高的集群在接下来的10年中保持其作为最高风险集群的地位。在调整年龄、生活方式和医疗保健可及性后,SES与女性(黑人和白人)的基线风险评分呈负相关,与所有四个种族/性别组的风险变化评分呈负相关,与女性(黑人和白人)以及白人男性的累积风险评分呈负相关。我们的研究结果表明,中年时总体心血管风险高的个体可以通过其年轻时相对较高的风险因素值来识别,并且心血管风险的社会经济差异在生命早期就开始积累。