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A data harmonization project of three large prospective cardiovascular health-focused cohorts.
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.
Afiliación
  • Scarpaci MM; Hassenfeld Child Health Innovation Institute, Brown University, Providence, Rhode Island, USA.
  • Park JW; Center for Epidemiologic Research, Brown University School of Public Health, Providence, Rhode Island, USA.
  • Dionne L; Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA.
  • Needham BL; Program in Epidemiology, University of Delaware, Newark, DE, USA.
  • Sims M; Center for Health Promotion and Health Equity Research, Department of Behavioral and Social Sciences, Brown University, Providence, Rhode Island, USA.
  • Kanaya AM; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.
  • Kandula NR; Department of Social Medicine, Population and Public Health, University of California, Riverside School of Medicine, Riverside, California, USA.
  • Fava JL; Department of Medicine, Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
  • Eaton CB; Northwestern University, Feinberg School of Medicine, Chicago, IL, USA.
  • Howe CJ; Center for Health Promotion and Health Equity Research, Department of Behavioral and Social Sciences, Brown University, Providence, Rhode Island, USA.
  • Dulin AJ; Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, Rhode Island, USA.
Am J Epidemiol ; 2024 Aug 08.
Article en En | MEDLINE | ID: mdl-39117574
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 paper describes the process involved in combining three 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 (e.g., resilience resources), outcomes (e.g., American Heart Association's Life's Simple 7), and covariates (e.g., 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 dataset. This project provides opportunities for future research in resilience resources and informs future studies that need to harmonize data. Results based on the harmonized dataset could inform interventions and policies.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Am J Epidemiol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Am J Epidemiol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos