To identify consumption patterns of fruit and vegetables within a representative sample of US adults with a focus on degree of produce processing and to explore sociodemographic, lifestyle and nutritional profiles associated with these patterns.

Cross-sectional analysis. Fruit and vegetable (F&V) consumption data were collected using two non-consecutive 24 h recalls. For the purpose of the study, F&V intakes were aggregated into seven subgroups indicating degree of processing, which afterwards were used as inputs into cluster analysis.

The 2005–2006 National Health and Nutrition Examination Survey.

The sample consisted of 2444 adults aged 20–59 years.

Total average F&V intake of the adults was below the recommended level. Thereby, 20 % of the respondents consumed fruit only in the form of juice. Three F&V consumption patterns were identified: ‘low-intake F&V consumers’ (74 % of respondents), ‘consumers of healthier F&V options’ (13 %) and ‘intensive fruit juice consumers’ (13 %). These groups differed markedly in terms of their sociodemographic, lifestyle and health characteristics, such as gender, age, race/ethnicity, education, smoking, weight status, etc. Differences in nutrient profiles were also found, with the ‘consumers of healthier F&V options’ showing better nutritional quality compared with other clusters.

Only a small share of US adults combines high F&V intakes with healthier F&V options that lead to a better nutritional profile. This raises discussion about a need to deliver more specific F&V promotion messages, including advice on healthier preparation methods, especially for the specific population groups.

To examine: (i) children's food intake and adherence to both Canada's Food Guide for Healthy Eating and Dietary Reference Intakes; and (ii) the social and demographic factors related to children's food intake.

A cross-sectional study.

Data were obtained through the Quebec Longitudinal Study of Child Development 1998–2010, a representative sample (n 2103) of children born in 1998 in the province of Quebec, Canada. Information on energy, macronutrient and food consumption was derived from responses to a 24 h dietary recall interview addressed to children's mothers and day-care staff when the children were 4 years old.

A total of 1549 children aged 4 years who participated in a nutritional sub-study.

The mean daily total energy intake was 6360 kJ (1520 kcal) for girls and 6916 kJ (1653 kcal) for boys. For boys and girls alike, energy intake was comprised of approximately 54 % carbohydrates, 31 % fats and 15 % proteins. The mean number of servings consumed from each of the four essential food groups closely approached the dietary recommendations made by Canada's Food Guide for Healthy Eating; however, <2 % of the children in the present study actually met the full dietary guidelines. The dietary intake of pre-school children was associated with socio-economic and demographic factors, most notably mother's level of education, mother's immigrant status and sex of the child.

Diet-related disparities associated with socio-economic and demographic factors exist from as early as 4 years of age.

To estimate the association strength of dietary behaviour and sedentary habits in relation to childhood obesity in Spain.

A matched case–control study was carried out using data collected by sentinel network paediatricians in general practices.

Five Spanish autonomous communities.

Cases were 437 children (2–14 years old) with BMI >95th percentile according to Spanish reference tables. Controls were 751 children (2–14 years old; two paired per case) with BMI <84th percentile. Data were collected in two phases: individual (questionnaires filled in by sentinel paediatricians) and family (self-administered questionnaires filled in a family environment). Crude OR and adjusted OR (ORc and adj OR) for the given variables were calculated using a simple and multiple conditional logistic regression analysis.

The factors with the greatest effect on obesity were family history of obesity: both parents (adj OR = 11·2), mother but not father (adj OR = 9·1), father but not mother (adj OR = 6·1), siblings (adj OR = 2·7); and eating between meals (adj OR = 2·5) and consumption of sweets and soft drinks >2 times/week (adj OR = 2·0). The highest protection effect was found for five meals per day (adj OR = 0·5), the regular consumption of breakfast (adj OR = 0·5) and for eating fruit for dessert (adj OR = 0·6). Factors related to sedentary habits did not appear as noteworthy.

We have determined the association between certain dietary behaviour and family history with childhood obesity in several Spanish regions.

To investigate predictors of adolescent obesity in rural South Africa.

Cross-sectional study. Height, weight and waist circumference were measured using standard procedures. Overweight and obesity in adolescents aged 10–17 years were assessed using the International Obesity Taskforce cut-offs, while the WHO adult cut-offs were used for participants aged 18–20 years. Waist-to-height ratio of >0·5 defined central obesity in those at Tanner stages 3–5. Linear and logistic regression analysis was used to evaluate risk factors.

Agincourt sub-district, rural South Africa.

Participants (n 1848) were aged 10–20 years.

Combined overweight and obesity was higher in girls (15 %) than boys (4 %), as was central obesity (15 % and 2 %, respectively). With regard to overweight/obesity, fourfold higher odds were observed for girls and twofold higher odds were observed for participants from households with the highest socio-economic status (SES). The odds for overweight/obesity were 40 % lower if the household head had not completed secondary level education. For central obesity, the odds increased 10 % for each unit increase in age; girls had sevenfold higher odds v. boys; post-pubertal participants had threefold higher odds v. pubertal participants; those with older mothers aged 50+ years had twofold higher odds v. those whose mothers were aged 35–49 years; those in highest SES households had twofold higher odds v. those in lowest SES households.

In rural South Africa, adolescent females are most at risk of obesity which increases with age and appears to be associated with higher SES. To intervene effectively, it is essential to understand how household factors influence food choice, diet and exercise.