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Published on: September 26, 2018
A data harmonization project of 3 large prospective cardiovascular health-focused cohorts
Matthew M Scarpaci1, Jee Won Park2,3,4, Laura Dionne5
1Hassenfeld Child Health Innovation Institute, Brown University, Providence, RI, United States.
Insights
This study harmonized data from three large cohorts to examine resilience resources and cardiovascular health. Combining data enhances research power, especially for minority populations, informing future interventions.
Area of Science:
- Cardiovascular Health Research
- Psychosocial Factors in Health
- Data Harmonization Techniques
Background:
- Limited prospective studies explore multilevel resilience resources and psychosocial factors impacting cardiovascular health.
- Existing research suggests resilience resources may reduce cardiovascular disease events, but lacks diversity in racial/ethnic populations and cohort size.
- Data harmonization offers a solution by enabling pooled analysis of multiple cohorts, increasing statistical power, particularly for underrepresented groups.
Purpose of the Study:
- To describe the process of harmonizing data from three major cardiovascular health cohorts.
- To prepare a unified dataset for investigating the relationship between resilience resources and cardiovascular health outcomes.
- To facilitate future research on resilience and inform public health policies.
Main Methods:
- Combined data from the Jackson Heart Study, Multi-Ethnic Study of Atherosclerosis, and Mediators of Atherosclerosis in South Asians Living in America Study.
- Employed systematic data harmonization techniques for exposures (resilience resources), outcomes (American Heart Association's Life's Simple 7), and covariates (race/ethnicity).
- Conducted psychometric analyses on harmonized variables and included 13,284 participants in the final dataset.
Main Results:
- Successfully harmonized data from three distinct cardiovascular health cohorts into a single, large dataset.
- The harmonized dataset comprises 13,284 participants, enabling robust analysis of resilience factors.
- Established a framework for future research on resilience resources and cardiovascular health using harmonized data.
Conclusions:
- Data harmonization is a viable strategy to increase sample size and power for studying cardiovascular health across diverse populations.
- The harmonized dataset provides a valuable resource for advancing research on resilience and its impact on cardiovascular disease.
- Findings from this harmonized data can inform the development of targeted interventions and public health policies to promote cardiovascular well-being.
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.
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