Association of diet, lifestyle, and chronotype with metabolic health in Ukrainian adults: a cross-sectional study

Morning chronotypes are associated with healthier metabolic profiles and lifestyles compared to evening chronotypes. However, limited research examined the relationship between chronotype, dietary intake, and metabolic health using accurate measures such as food records. This cross-sectional study aimed to investigate the association between chronotype, dietary intake, and metabolic health markers in a cohort of Ukrainian individuals. Chronotypes were determined using the Morningness-Eveningness Questionnaire (MEQ) in 110 healthy to obese individuals (30–75 years) without type 2 diabetes. Dietary intake was derived from weighed seven days food diaries, anthropometrics and blood markers of glucose and lipid metabolism were measured. Morning chronotypes were significantly older and exhibited distinct dietary patterns, including lower intake of fat and animal protein and higher intake of carbohydrates when compared to evening chronotypes (p < 0.01). Higher MEQ scores, reflecting a tendency toward a morning chronotype, were associated with lower BMI, waist circumference, fasting triglycerides, and glucose (p < 0.05). Further, being of morning chronotype predicted better overall metabolic health. These associations remained significant after adjusting for confounders. The findings suggest that morning chronotypes have a different dietary pattern characterized by a more balanced diet and favorable metabolic profile. Synchronizing daily routines with morning preferences could positively influence metabolic health

Association of diet, lifestyle, and chronotype with metabolic health in Ukrainian adults: a cross-sectional study

Abstract Morning chronotypes are associated with healthier metabolic profiles and lifestyles compared to evening chronotypes. However, limited research examined the relationship between chronotype, dietary intake, and metabolic health using accurate measures such as food records. This cross-sectional study aimed to investigate the association between chronotype, dietary intake, and metabolic health markers in a cohort of Ukrainian individuals. Chronotypes were determined using the Morningness-Eveningness Questionnaire (MEQ) in 110 healthy to obese individuals (30–75 years) without type 2 diabetes. Dietary intake was derived from weighed seven days food diaries, anthropometrics and blood markers of glucose and lipid metabolism were measured. Morning chronotypes were significantly older and exhibited distinct dietary patterns, including lower intake of fat and animal protein and higher intake of carbohydrates when compared to evening chronotypes (p < 0.01). Higher MEQ scores, reflecting a tendency toward a morning chronotype, were associated with lower BMI, waist circumference, fasting triglycerides, and glucose (p < 0.05). Further, being of morning chronotype predicted better overall metabolic health. These associations remained significant after adjusting for confounders. The findings suggest that morning chronotypes have a different dietary pattern characterized by a more balanced diet and favorable metabolic profile. Synchronizing daily routines with morning preferences could positively influence metabolic health

Universal Dependencies 2.11

Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008)

Universal Dependencies 2.3

Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008)

Analysis of Outcomes in Ischemic vs Nonischemic Cardiomyopathy in Patients With Atrial Fibrillation A Report From the GARFIELD-AF Registry

IMPORTANCE Congestive heart failure (CHF) is commonly associated with nonvalvular atrial fibrillation (AF), and their combination may affect treatment strategies and outcomes