A data harmonization project of 3 large prospective cardiovascular health-focused cohorts

• Scarpaci, Matthew M ^[1] ; Park, Jee Won ^[1] ; Dionne, Laura ^[1] ; Needham, Belinda L ^[2] ; Sims, Mario ^[3] ; Kanaya, Alka M ^[5] ; Kandula, Namratha R ^[4] ; Fava, Joseph L ^[1] ; Eaton, Charles B ^[1] ; Howe, Chanelle J ^[1] ; Dulin, Akilah J ^[1]
  1. [1] Brown University

     Brown University

     City of Providence, Estados Unidos

     
  2. [2] University of Michigan–Ann Arbor

     University of Michigan–Ann Arbor

     City of Ann Arbor, Estados Unidos

     
  3. [3] University of California, Riverside

     University of California, Riverside

     Estados Unidos

     
  4. [4] Northwestern University

     Northwestern University

     Township of Evanston, Estados Unidos

     
  5. [5] Department of Medicine, Epidemiology & Biostatistics, University of California San Francisco , San Francisco, CA ,

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• Localización: American journal of epidemiology, ISSN-e 1476-6256, ISSN 0002-9262, Vol. 194, Nº. 3, 2025, págs. 608-624
• Idioma: inglés
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  • Abstract 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.