The EAT-Lancet diet associated cardiovascular health parameters: evidence from a Brazilian study

Autor: Rosa Sá de Oliveira Neta, Severina Carla Vieira Cunha Lima, Maria Fernanda Araújo de Medeiros, David Bruno Melo Araújo, Nicole Bernardi, Armando Augusto Noberto Galdino de Araújo, Michelle Cristine Medeiros Jacob, Adélia da Costa Pereira de Arruda Neta, Dirce Maria Lobo Marchioni, Clélia de Oliveira Lyra, Angelo Giuseppe Roncalli da Costa Oliveira
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Nutrition Journal, Vol 23, Iss 1, Pp 1-15 (2024)
Druh dokumentu: article
ISSN: 1475-2891
DOI: 10.1186/s12937-024-01021-4
Popis: Abstract Background The EAT-Lancet diet is a diet aimed at promoting population and planetary health from the perspective of sustainable diets in terms of environmental and health aspects. This study aimed to assess the association between adherence to the EAT-Lancet diet and cardiometabolic risk factors among adults and elderly individuals in a capital city in the northeastern region of Brazil. Methods This is an analytical cross-sectional observational study from a population-based sample conducted between 2019 and 2020, involving 398 non-institutionalized adults and elderly people, of both sexes from “Brazilian Usual Consumption Assessment” study (Brazuca-Natal). There was a 38% response rate due to the suspension of data collection due to the covid-19 pandemic, but According to the comparative analysis of socioeconomic and demographic variables between the surveyed and non-surveyed sectors, losses were found to be random (p = 0.135, Little’s MCAR test). Socioeconomic and lifestyle data, anthropometric measurements, and dietary consumption were collected. We used the Planetary Health Diet Index (PHDI) and the Cardiovascular Health Diet Index (CHDI) for cardiovascular health to assess adherence to the diet’s sustainability. The evaluated cardiometabolic parameters included fasting blood glucose, triglycerides, total cholesterol, HDL-C, LDL-C, and systolic and diastolic blood pressure measurements. We also assessed the presence of type 2 diabetes mellitus, arterial hypertension, and dyslipidemia. For the data analyses, sample weights and the effect of the study design were taken into account. Pearson’s chi-square test was used to evaluate the statistical significance of frequencies. Multiple linear regression models assessed the associations between PHDI and CHDI and its components and the cardiometabolic parameters. Results The mean PHDI was 29.4 (95% CI 28.04:30.81), on a total score ranging from 0 to 150 points and the mean CHDI was 32.63 (95% CI 31.50:33.78), on a total score ranging from 0 to 110 points. PHDI showed a significant positive association with the final CHDI score and components of fruits, vegetables, and legumes, and a negative association with Ultra-processed Food (UPF) (p
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