Describing the consumption of ultra-processed foods (UPF) and their association with the nutritional profiles among users of a health promotion service in a Brazilian city.

Cross-sectional study.

Public health promotion service of Primary Health Care in Belo Horizonte, Minas Gerais, Brazil.

Totally, 3372 participants.

UPF were found to contribute to 27·7 % of the diet’s total energy. The highest consumption was associated with higher values for energy intake (1561·8 v. 1331·8 kcal/d; P < 0·01), energy density (1·7 v. 1·4 kcal/g; P < 0·01), total (32·5 v. 27·3 %; P < 0·01) and trans-fats (2·1 v. 1·2 %; P < 0·01) and Na (1001·6 v. 758·9 mg/1000 kcal; P < 0·01) and with lower values for proteins (14·9 v. 19·6 %; P < 0·01), mono-unsaturated fats (16·1 v. 20·1 %; P = 0·02), n-3 (0·9 v. 1·1 %; P < 0·01) and some vitamins and minerals when comparing individuals in the last quintile of energy contribution from UPF in relation to the first one. The prevalence rate of nutrient inadequacy aimed at preventing non-communicable diseases increased between 30 % and 100 % when compared with the values of the fifth to the first quintile of UPF consumption (P < 0·001). However, the participants had lower energy intake, energy density and Na and higher fibre consumption when compared to Brazilian population.

Participants showed a high consumption of UPF, but also positive diet characteristics when compared with the national data. The results suggest the importance of health promotion services to promote healthy food and the need to include approaches to reduce UPF consumption.

This study aimed to characterise food consumption among students at the University of Carthage (Tunisia), assessing quality of diet and main dietary patterns, and their association with potential conditioning factors.

Cross-sectional study. Participants self-reported food consumption in two 24-h recalls and information about sociodemographic, anthropometric and lifestyle characteristics such as BMI, birthplace, physical activity, eating places or kitchen appliances. Mediterranean Diet Score (MDS) and the Nutrient Rich Foods (NRF) index (NRF9.3) were used to assess diet quality. Exploratory factor analysis was conducted to identify eating patterns. Linear regression models were used to test the association of dietary patterns with the diet quality markers.

Students at the University of Carthage, Tunisia.

132 students

Almost 96 % of participants need shifts towards healthier food. Four main food patterns were identified ‘Traditional food’, ‘Transitional food’, ‘European breakfast’ and ‘Western food’. ‘Traditional food’ was the first dietary model, positively associated with MDS and NRF9.3. Women showed higher adherence to ‘European breakfast’ and higher quality of diet by NRF9.3. Students eating out of home showed higher adherence to ‘Western food’, those who never kept a regular schedule of meals consumed lower amount of vegetables and tubers, and sedentary or low active students had a higher intake of ready-to-eat products.

Diet quality of the participating Tunisian students is inadequate, but traditional Mediterranean diet remains the main pattern in spite of the advanced transitional nutrition. Some lifestyle risk behaviours affecting quality of diet were identified in this work, which supports the youth’s particular vulnerability.

High-quality diets, characterised by nutrient-rich foods, are one of the foundations for health and well-being. Indicators of diet quality, antioxidants, are associated with protection against cardiometabolic diseases. The current study explores relationships between plasma antioxidants and cardiometabolic risk among Aboriginal people in Australia.

As part of a community-driven health promotion programme, we conducted a cross-sectional study including a health-behaviour questionnaire, plasma antioxidants and cardiometabolic risk markers (anthropometric, blood pressure measurements, fasting glucose, glycated Hb (HbA1c), lipids, C-reactive protein and albumin-creatinine-ratio) continuous and categorised into population-specific cut-offs. Antioxidants (β-carotene, β-cryptoxanthin, lycopene, lutein-zeaxanthin, retinol and α-tocopherol measured using HPLC) were applied to a principal component analysis, which aggregated these into a single component. Linear regression models were applied to investigate associations between the antioxidant component and cardiometabolic risk markers.

Community in a remote area in Northern Territory, Australia.

A total of 324 Aboriginal people, mean age 35·5 (range 15–75) years.

Antioxidant component levels were higher among individuals with higher self-reported vegetable intake (P < 0·01), higher among individuals with higher self-reported fruit intake (P = 0·05) and lower among current smokers (P = 0·06). Linear regression revealed an inverse association between the antioxidant component and C-reactive protein (β = –0·01, P < 0·01) after adjusting for confounders.

Higher plasma antioxidant levels, indicators of diet quality, were associated with lower levels of high-sensitivity C-reactive protein in this Aboriginal population in remote Australia. This association suggests plasma antioxidants may be protective against inflammation; however, longitudinal studies are needed to examine this potentially protective relationship.

Eating habits of Finns have improved dramatically in 40 years. The proportion of fat in the diet has decreased and vegetable and fruit consumption increased. Knowledge of Finnish young men’s dietary habits is limited. The aim was to assess food choices and quality of diet among young men and to analyse how background and health behaviour factors explain it.

In 2007, data on eating habits, sociodemographic background factors and health behaviours of 17–21-year-old men (n 2905) entering military service were collected by self-administrated questionnaire. Two indexes – core food index (CFI) and extra food index (EFI) – were formed to describe daily and redundant snacking-type eating, respectively. Associations of background factors and health behaviours on the indexes were analysed by general linear modelling.

In all, 13 % consumed fruits and berries daily and 8 % consumed vegetables, whereas 24 % consumed pizza and 19 % consumed hamburgers more than once a week. CFI increased with educational level (P < 0·001) and was explained by background and health behaviour (smoking, physical activity and eating breakfast). EFI was inversely associated with BMI (P < 0·001) and explained by health behaviour: (smoking, physical activity, drinking beer and eating breakfast).

These results indicate that in early adulthood, eating habits cluster with other health behaviours among men. In this age group, education is associated with core food but not with extra food eating habits. Furthermore, seasonal variation is seen in both types of eating. When promoting healthy eating, a distinction between core foods and extra foods by using feasible indexes will be helpful in targeting the efforts.