Abstract MP40: Associations Of Dietary Macronutrient And Fatty Class Composition With All-Cause And Cardiovascular Mortality: Data From National Health And Nutrition Examination Survey 1999-2014
| Autor: | Nicholas A Koemel, Alistair M Senior, David S Celermajer, Amanda Grech, Tim P Gill, David Raubenheimer, Stephen J Simpson, Michael R Skilton |
|---|---|
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Circulation. 145 |
| ISSN: | 1524-4539 0009-7322 |
| DOI: | 10.1161/circ.145.suppl_1.mp40 |
| Popis: | Introduction: There is a large body of evidence detailing the associations of individual macronutrients and fatty acids with all-cause and cardiovascular mortality. Studying nutrients in combination may provide additional information concerning complex associations and interactions. Hypothesis: We hypothesize that overall macronutrient and fat class composition are associated with all-cause and cardiovascular mortality. Methods: This analysis was undertaken using 24-hour food recall data from the National Health and Nutrition Examination Survey from years 1999-2014 (n = 36,138). Participants included both males and females ≥20 years of age (49.8 ± 18.4 years; 53% Female). All-cause (4764 deaths) and cardiovascular mortality (834 deaths) were obtained via linkage to the National Death Index. Associations of diet composition with mortality adjusting for age, sex, total energy intake, ethnicity, education level, household income, physical activity, alcohol intake, and smoking were assessed using 3-dimensional general additive Cox proportional hazard models of macronutrients (Protein; Carbohydrate; Fat) or fat classes (Polyunsaturated; Monounsaturated; Saturated). Response surfaces were generated on the survival function scale to aid interpretation. Results: There is a complex 3-way interactive non-linear association of macronutrient composition with both all-cause (Figure A-B) and cardiovascular mortality (both p Conclusions: In conclusion, these findings indicate that associations between diet composition and mortality are more complex than previously understood with evidence of interactive and non-linear relationships. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|