Scarpaci Matthew M, Park Jee Won, Dionne Laura, Needham Belinda L, Sims Mario, Kanaya Alka M, Kandula Namratha R, Fava Joseph L, Eaton Charles B, Howe Chanelle J, Dulin Akilah J
Hassenfeld Child Health Innovation Institute, Brown University, Providence, RI, United States.
Center for Epidemiologic Research, Brown University School of Public Health, Providence, RI, United States.
Am J Epidemiol. 2025 Mar 4;194(3):608-624. doi: 10.1093/aje/kwae264.
Few prospective studies examine multilevel resilience resources and psychosocial factors in relation to cardiovascular health and disease. Recent research indicates that resilience resources are associated with a reduction in the incidence of cardiovascular disease-related events, but few studies have examined this relationship across different racial/ethnic populations or in large cohorts. Harmonization may address these limitations because it allows data from several cohorts to be analyzed together, potentially increasing sample size and in turn power overall and in minority populations. This article describes the process involved in combining 3 cardiovascular health-focused cohorts: Jackson Heart Study, Multi-Ethnic Study of Atherosclerosis, and Mediators of Atherosclerosis in South Asians Living in America Study. Using a systematic process, we identified appropriate data harmonization techniques to use in harmonizing variables across cohorts. Variables included exposures (eg, resilience resources), outcomes (eg, American Heart Association's Life's Simple 7), and covariates (eg, race and ethnicity). Post-harmonization examinations included psychometric analyses of the harmonized variables. A total of 13 284 participants were included in the final harmonized data set. This project provides opportunities for future research in resilience resources and informs future studies that need to harmonize data. Results based on the harmonized data set could inform interventions and policies.
很少有前瞻性研究考察与心血管健康和疾病相关的多层次复原力资源和社会心理因素。最近的研究表明，复原力资源与心血管疾病相关事件的发生率降低有关，但很少有研究在不同种族/族裔人群或大型队列中考察这种关系。数据整合可能会解决这些局限性，因为它允许对来自多个队列的数据进行综合分析，从而有可能增加样本量，进而提高整体及少数族裔人群的检验效能。本文描述了整合3个以心血管健康为重点的队列（杰克逊心脏研究、动脉粥样硬化多族裔研究和美国南亚人动脉粥样硬化中介因素研究）所涉及的过程。我们采用系统的方法，确定了适用于跨队列整合变量的数据整合技术。这些变量包括暴露因素（如复原力资源）、结局指标（如美国心脏协会的“生命简单七要素”）和协变量（如种族和族裔）。整合后检查包括对整合变量的心理测量分析。最终的整合数据集中共纳入了13284名参与者。该项目为未来关于复原力资源的研究提供了机会，并为今后需要整合数据的研究提供了参考。基于整合数据集的结果可为干预措施和政策提供依据。
