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. 2025 Mar 4;194(3):608-624.
doi: 10.1093/aje/kwae264.

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

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

Matthew M Scarpaci et al. Am J Epidemiol. .

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.

Keywords: cardiovascular disease; data harmonization; data pooling; psychosocial risks; resilience.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Data harmonization process.

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