Examining Generalizability of Nutrient Intake Patterns and Its Association to CVD Risk Factors for US Hispanics/Latinos

• Activity Number: 247 - Analyses in Climate and Epidemiology
• Type: Contributed
• Date/Time: Tuesday, August 9, 2022 : 8:30 AM to 10:20 AM
• Sponsor: Section on Statistics and the Environment
• Author(s): Jeanette Varela* and Daniela Sotres-Alvarez and Briana Joy Kennedy Stephenson and Amanda Mcclain and Yasmin Mossavar-Rahmani and Luis Maldonado and Martha Daviglus
• Companies: Graduate Student and University of North Carolina and Harvard T.H. Chan School of Public Health and San Diego State University and Albert Einstein College of Medicine and University of Southern California and University of Illinois College of Medicine
• Keywords: dietary pattern; factor analysis; nutrient intake; cardiovascular disease risk; Hispanics/Latinos

Abstract

Poor diet is a major risk factor for CVD in US Hispanics/Latinos. However, the role diet plays in shaping different CVD outcomes by Hispanic heritage groups is not fully understood. Nationally-representative surveys aggregate this population into one group or as seen in the National Health and Nutrition Examination Survey (NHANES), two large groups (e.g. Mexican-Americans and other Hispanics/Latinos) in an effort to preserve model stability. This limitation can impact our understanding of the inter-relationship of diet and disease. The Hispanic Community Health Study/Study of Latinos (HCHS/SOL), by design, captures detailed information on the heterogeneity of six Hispanic/Latino backgrounds. In this study, we examined the generalizability of nutritional and cardiometabolic health of Mexican-Americans and other Hispanics/Latinos by comparing nutrient intake patterns derived using factor analysis separately in NHANES and HCHS/SOL. Five nutrient intake patterns were identified in both surveys. Futhermore, each derived factor is evaluated for its associations to major CVD risk factors using regression analysis. This talk will discuss the results and implications for future research.