Suchergebnisse

health and wellness, chronic disease prevention and management, curriculum, Cooperative Extension, Extension, health programming, Health and Wellness Framework, ECOP Action Teams

Chronic diseases are strongly associated with premature death and increased health care costs. Nearly half of American adults report they have one or more chronic health conditions. Cooperative Extension is calling for refocus to refine and align with broader efforts to promote public health by supporting the prevention and management of chronic disease. The success of this refocus is dependent on a shared vision between funding agencies, stakeholders, and Extension. As part of developing this shared vision, the Chronic Disease Health Implementation Team surveyed 152 Extension administrators, faculty, and Extension Agents/Educators to determine their perception of the role of Extension in chronic disease prevention and management in the next century. Respondents answered the open-ended question, "What role should Cooperative Extension have in working to reduce chronic diseases in America for the next 10, 25, and 100 years?" Analysis with grounded theory identified three themes. The respondents perceived the role of Extension professionals as educators and collaborators in chronic disease prevention and management who focus on influencing individuals and environments. As educators, Extension should deliver evidence-based programs to communicate, inform, facilitate, and teach. As collaborators, Extension should facilitate and nurture partnerships to effect changes in chronic disease prevention and management.

Food liking-disliking patterns may strongly influence food choices and health. Here we assess: (1) whether food preference patterns are genetic/environmentally driven; and (2) the relationship between metabolomics profiles and food preference patterns in a large population of twins. 2,107 individuals from TwinsUK completed an online food and lifestyle preference questionnaire. Principle components analysis was undertaken to identify patterns of food liking-disliking. Heritability estimates for each liking pattern were obtained by structural equation modeling. The correlation between blood metabolomics profiles (280 metabolites) and each food liking pattern was assessed in a subset of 1,491 individuals and replicated in an independent subset of monozygotic twin pairs discordant for the liking pattern (65 to 88 pairs). Results from both analyses were meta-analyzed. Four major food-liking patterns were identified (Fruit and Vegetable, Distinctive Tastes, Sweet and High Carbohydrate, and Meat) accounting for 26% of the total variance. All patterns were moderately heritable (Fruit and Vegetable,h2[95% CI]: 0.36 [0.28; 0.44]; Distinctive Tastes: 0.58 [0.52; 0.64]; Sweet and High Carbohydrate: 0.52 [0.45, 0.59] and Meat: 0.44 [0.35; 0.51]), indicating genetic factors influence food liking-disliking. Overall, we identified 14 significant metabolite associations (Bonferronip< 4.5 × 10−5) with Distinctive Tastes (8 metabolites), Sweet and High Carbohydrate (3 metabolites), and Meat (3 metabolites). Food preferences follow patterns based on similar taste and nutrient characteristics and these groupings are strongly determined by genetics. Food preferences that are strongly genetically determined (h2≥ 0.40), such as for meat and distinctive-tasting foods, may influence intakes more substantially, as demonstrated by the metabolomic associations identified here.