ABSTRACT
This is a cross-sectional analysis of data obtained in the baseline of the Longitudinal Study on the Lifestyle and Health of University Students (n 685) carried out in a public Brazilian university. Food intake was assessed using a 24-h dietary recall. Dietary patterns (DP) for breakfast, lunch and dinner were identified using principal component analysis. Generalised linear models were used to analyse the variables associated with each DP. Three DP were extracted for each meal: breakfast: 'White bread and butter/margarine', 'Coffee and tea' and 'Sausages, whole wheat bread and cheese'; lunch: 'Traditional', 'Western' and 'Vegetarian' and dinner: 'Beans, rice and processed juice', 'White bread and butter/margarine' and 'White meat, eggs and natural juice'. Students who had meals at the campus showed greater adherence to the 'White bread and butter/margarine' (exp (ßadj) = 1·15, 95 % CI 1·11, 1·19) and 'Coffee and tea' (exp (ßadj) = 1·06, 95 % CI 1·02, 1·10) breakfast patterns; 'Western' lunch pattern (exp (ßadj) = 1·04, 95 % CI 1·01, 1·08) and to the 'Beans, rice and processed juice' dinner pattern (exp (ßadj) = 1·10, 95 % CI 1·06, 1·14). Having meals at the campus was associated with lower adherence to the 'Sausages, whole wheat bread and cheese' breakfast pattern (exp (ßadj) = 0·93, 95 % CI 0·89, 0·97), 'Traditional' lunch pattern (exp (ßadj) = 0·96, 95 % CI 0·93, 0·99) and to the 'White bread and butter/margarine' (exp (ßadj) = 0·96, 95 % CI 0·93, 0·99) and 'White meat, eggs and natural juice' (exp (ßadj) = 0·96, 95 % CI 0·93, 0·99) dinner pattern. The food environment at campus may influence students' DP. Recognising meal eating patterns is important to support healthy eating promotion strategies on campus. Adjustments in the University Canteen menu could contribute to healthier eating choices among students.
Subject(s)
Diet , Feeding Behavior , Meals , Brazil , Bread , Butter , Coffee , Cross-Sectional Studies , Eggs , Fruit and Vegetable Juices , Humans , Longitudinal Studies , Margarine , Meat , Students , Tea , UniversitiesABSTRACT
BACKGROUND/OBJECTIVES: The aim of this study was to evaluate the validity and reliability of the Main Meal Quality Index when applied on the UK population. SUBJECTS/METHODS: The indicator was developed to assess meal quality in different populations, and is composed of 10 components: fruit, vegetables (excluding potatoes), ratio of animal protein to total protein, fiber, carbohydrate, total fat, saturated fat, processed meat, sugary beverages and desserts, and energy density, resulting in a score range of 0-100 points. The performance of the indicator was measured using strategies for assessing content validity, construct validity, discriminant validity and reliability, including principal component analysis, linear regression models and Cronbach's alpha. RESULTS: The indicator presented good reliability. CONCLUSIONS: The Main Meal Quality Index has been shown to be valid for use as an instrument to evaluate, monitor and compare the quality of meals consumed by adults in the United Kingdom.
Subject(s)
Food Quality , Meals , Psychometrics , Biomarkers/blood , Blood Glucose/metabolism , Child , Cholesterol/blood , Cross-Sectional Studies , Diet , Diet Records , Dietary Carbohydrates/administration & dosage , Dietary Proteins/administration & dosage , Fruit , Humans , Micronutrients/administration & dosage , Nutrition Surveys , Principal Component Analysis , Surveys and Questionnaires , Triglycerides/blood , United Kingdom , VegetablesABSTRACT
This systematic review aimed to synthesise information on indices developed to evaluate nutritional quality of meals. A strategy for systematic search of the literature was developed using keywords related to assessment of meal quality. Databases searched included ScienceDirect, PubMed, Lilacs, SciELO, Scopus, Cochrane, Embase and Google Scholar. The literature search resulted in seven different meal quality indices. Each article was analysed in order to identify the following items: authors, country, year, study design, population characteristics, type of meal evaluated, dietary assessment method, characteristics evaluated (nutrients or food items), score range, index components, nutritional references, correlations performed, validation and relationship with an outcome (if existing). Two studies developed instruments to assess the quality of breakfast, three analysed lunch, one evaluated dinner and one was applied to all types of meals and snacks. All meal quality indices reviewed were based on the evaluation of presence or absence of food groups and relative contributions of nutrients, according to food-based guidelines or nutrient references, adapting the daily dietary recommendations to one specific meal. Most of the indices included three items as components for meal quality assessment: (I) total fat or some specific type of fat, (II) fruits and vegetables and (III) cereals or whole grains. This systematic review indicates aspects that need further research, particularly the numerous approaches to assessing meals considering different foods and nutrients, and the need for validation studies of meal indices.