Your browser doesn't support javascript.
loading
Examining Generalizability of Nutrient-Based Food Patterns and Their Cross-Sectional Associations with Cardiometabolic Health for Hispanic/Latino Adults in the US: Results from the National Health and Nutrition Examination Survey (NHANES) and the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).
Varela, Jeanette J; Mattei, Josiemer; Sotres-Alvarez, Daniela; Mossavar-Rahmani, Yasmin; McClain, Amanda C; Maldonado, Luis E; Daviglus, Martha L; Stephenson, Briana J K.
Affiliation
  • Varela JJ; Department of Biostatistics, Harvard T.H. Chan School of Public Health.
  • Mattei J; Department of Nutrition, Harvard T.H. Chan School of Public Health.
  • Sotres-Alvarez D; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill.
  • Mossavar-Rahmani Y; Department of Epidemiology and Population Health, Albert Einstein College of Medicine.
  • McClain AC; School of Exercise and Nutritional Sciences, College of Health and Human Services, San Diego State University College of Health and Human Services.
  • Maldonado LE; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California.
  • Daviglus ML; Institute of Minority Health Research, University of Illinois at Chicago.
  • Stephenson BJK; Department of Biostatistics, Harvard T.H. Chan School of Public Health.
medRxiv ; 2023 May 05.
Article in En | MEDLINE | ID: mdl-37205461
ABSTRACT

Background:

Ethnicity, cultural background, and geographic location differ significantly amongst the US Hispanic/Latino population. These characteristic differences can greatly define measured diet and its relationship with cardiometabolic disease, thus influencing generalizability of results.

Objective:

We aimed to examine dietary patterns of Hispanic/Latino adults and their association with cardiometabolic risk factors (high cholesterol, hypertension, obesity, diabetes) across two representative studies with differing sampling strategies.

Methods:

Data were collected from Mexican or Other Hispanic adult participants from 2007-2012 National Health and Nutrition Examination Survey (NHANES, n=3,209) and 2007-2011 Hispanic Community Health Survey/Study of Latinos (HCHS/SOL, n=13,059). Nutrient-based food patterns (NBFPs) were derived using factor analysis on nutrient intake data estimated from 24-hour dietary recalls and interpreted using common foods prominent in these nutrients. Cross-sectional association between NBFPs (quintiles) and cardiometabolic risk factors, defined by clinical measures and self-report, were estimated using survey-weighted logistic regression.

Results:

Five NBFPs were identified in both studies (1) meats, (2) grains/legumes, (3) fruits/vegetables, (4) dairy, and (5) fats/oils. Association to cardiometabolic risk factors differed by NBFP and study. In HCHS/SOL, persons in the highest quintile of meats NBFP had higher odds of diabetes (OR=1.43, 95%CI 1.10, 1.86) and obesity (OR=1.36, 95%CI 1.14, 1.63). Those in the lowest quintile of grains/legumes NBFP (OR=1.22, 95%CI 1.02, 1.47) and the highest quintile of fats/oils (OR=1.26, 95%CI 1.03, 1.53) also had higher odds of obesity. In NHANES, NBFPs associated with higher odds of diabetes included those in the lowest quintile of dairy (OR=1.66, 95%CI 1.01, 2.72) and highest quintile of grains/legumes (OR=2.10, 95%CI 1.26, 3.50). Persons in the fourth quintile of meats (OR=0.68, 95%CI 0.47, 0.99) had lower odds of cholesterol.

Conclusion:

Diet-disease relationships among Hispanic/Latino adults vary according to two representative studies. These differences have research and practical implications when generalizing inferences on heterogeneous underrepresented populations.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prevalence_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: MedRxiv Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prevalence_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: MedRxiv Year: 2023 Document type: Article
...