Evaluation of daily eating patterns on overall diet quality using decision tree analyses.

BACKGROUND: Preliminary evidence suggests that meal timing is associated with higher quality diets. Less is known about whether types of food consumed during specific eating episodes (i.e., day-level eating patterns) predict diet quality. OBJECTIVES: We investigated the association between day-level eating patterns and diet quality. METHODS: Decision tree models were built using 24-h dietary recall data from the National Health and Nutrition Examination Survey 2015 and 2017 cycles in a cross-sectional study. Sixteen food groups and 12 eating episodes (e.g., breakfast, lunch) were included as input parameters. Diet quality was scored using the Healthy Eating Index-2020 and categorized as higher or lower quality diets based on the median score. Mean decrease in impurity (MDI) ± standard deviation determined the relative contribution that day-level eating patterns had on diet quality; higher values represented greater contributions. RESULTS: We analyzed 12,597 dietary recalls from 9347 United States adults who were aged 18 y and older with ≥1 complete recall. Meals (breakfast, lunch, dinner) and respective snacking episodes had the greatest variety of dietary groups that contributed to the Healthy Eating Index-2020 score. Any whole-grain intake at breakfast predicted a higher quality diet (MDI = 0.08 ± 0.00), followed by lower solid fat intake (<8.94 g; MDI = 0.07 ± 0.00) and any plant protein intake at dinner (MDI = 0.05 ± 0.00). CONCLUSIONS: Day-level eating patterns were associated with diet quality, emphasizing the relevance of both food type and timing in relation to a high-quality diet. Future interventions should investigate the potential impact of targeting food type and timing to improve diet quality.

STEMI, Revascularization, and Peak Troponin by Adverse Pregnancy Outcomes in Women With Myocardial Infarction.

Background: Women with a history of adverse pregnancy outcomes have a higher risk of coronary heart disease. Emerging evidence suggests that women with a history of preeclampsia have a different pattern of overall coronary atherosclerosis and that they at the time of myocardial infarction (MI) more frequently present with ST-segment elevation MI (STEMI) compared to women with no such history. Objectives: The purpose of this study was to determine whether among women with MI, those with a history of adverse pregnancy outcomes are more likely to present with STEMI or other clinical characteristics indicating a more severe myocardial injury. Methods: The study sample consisted of 8,320 women aged ≤65 years with first MI in Sweden 2007 to 2022. Regression models were used to estimate the association between adverse pregnancy outcomes (hypertensive disorders of pregnancy [non-preeclamptic hypertension and preeclampsia], small for gestational age [SGA] infant, and preterm delivery) and STEMI, invasive revascularization, and high troponin, while considering known predictors of coronary heart disease. Results: In total, 3,128 (38%) of women suffered STEMI. The adjusted OR of presenting with STEMI were higher in women with a history of preterm preeclampsia (OR: 1.40; 95% CI: 1.05-1.88), or an SGA infant (OR: 1.30; 95% CI: 1.13-1.50) compared to women with no such history, as well as for in-hospital revascularization. Stratified by infarct type, troponin levels did not differ by adverse pregnancy outcome history. Conclusions: Among women with a first MI, a history of preterm preeclampsia or SGA infant were associated with STEMI and invasive revascularization.