School lunches represent a key opportunity to improve diets and health of schoolchildren. No recent nationally representative studies have examined the nutritional differences between school meals and packed lunches in the UK. This study aimed to characterise and compare the nutritional quality of school meals and packed lunches among primary and secondary school-age children.

A pooled cross-sectional analysis of the UK’s National Diet and Nutrition Survey (2008–2017).

United Kingdom.

3001 children (aged 4–16 years) who completed a 3/4-d food diary which recorded meal type (school meal/packed lunch). Multivariable logistic regression models assessed associations of meeting food and nutrient recommendations by meal type. Analyses were stratified by academic key stages (KS).

KS-1 (4–7 years) and 2 (8–11 years) children consuming school meals were more likely to meet minimum recommendations for vegetables, protein-rich foods and fibre, and not exceed maximum recommendations for salt, savoury and sweet snacks compared with pupils consuming packed lunches. However, in KS-3 (12–14 years) and 4 (14–16 years), these effects were reduced. As children aged, the median weight of fruits, vegetables, protein-rich foods and dairy products consumed typically decreased for both school meals and packed lunches, and generally an increasing proportion of school meals contained sweet and savoury snacks.

These findings suggest school meals are nutritionally superior to packed lunches but are not yet optimal. Quality declined at higher KS. Actions to improve lunches of primary and secondary schoolchildren across the UK are needed, with attention to KS-3 and 4 in secondary schools.

To determine the status of nutritional literacy and its affecting factors among the adolescents who are in the 9th grade in Çivril, in Denizli province, in Turkey.

This is a cross-sectional study that determines the sociodemographic characteristics, nutritional habits, nutritional behaviour, nutritional literacy status of adolescents and affecting factors.

Denizli, Turkey.

We included 523 adolescents in ninth grade in this study.

Half (49·7 %) of the participants were female; 47 %, in normal BMI; and 68·1 %, non-smokers. The mean (sd) Adolescent Nutrition Literacy Scale score was 67·6 (sd 7·9). Nutrition literacy status was related to mothers’ education level (P 0·021); health perceptions (P 0·008); positive body perception (P 0·032); unhealthy food consumption status (P 0·017); information barriers (undecided about effort for information gathering (P 0·026), undecided about the difficulty of understanding information (P 0·042) and thinking it is difficult to understand (P 0·003)), trust in nutrition, diet information sources (nutrition and diet expert, dietitian trusting (according to others) (P 0·001), nutrition and diet expert, dietitian neutral to trust (compared with others) (P 0·011) and trust in textbooks (P 0·023)).

The level of nutrition literacy status of participants was moderate. It is important to carry out interventions to increase the education level of women, positive body perceptions and general health perceptions of adolescents and to remove information barriers related to nutrition.

The current paper describes methods of evaluating dietary habits of Sri Lankan adolescents based on the Diet Quality Index–International (DQI-I), which has been used in multiple international studies to describe dietary variety, moderation, adequacy and balance. The paper describes the method for calculating DQI-I scores and examines associations between DQI-I scores and dietary intake, and between DQI-I scores and sociodemographic factors.

The study followed a three-stage cluster randomised sampling method. Dietary intake was collected using a validated FFQ. Estimated micronutrient intakes and number of servings consumed were described according to DQI-I quartiles. DQI-I scores were tabulated according to sociodemographic characteristics. Multilevel modelling was used to examine associations between sociodemographic characteristics and DQI-I scores.

Secondary schools in rural Sri Lanka.

Adolescents (n 1300) aged 12–18 years attending secondary school in rural Sri Lanka.

DQI-I scores increased with consumption of fat (% energy), cholesterol (mg/d), energy (kJ/d), protein (% energy), Na (mg), dietary fibre (g), Fe (mg) and Ca (mg), but decreased according to percentage of energy coming from carbohydrates. DQI-I scores were significantly lower among females and students with lower levels of maternal education.

Policies are needed to increase the availability and affordability of nutrient-rich foods such as fruits, vegetables and high-protein foods, particularly to students from lower socio-economic backgrounds. Significant differences in diet quality according to sex, socio-economic status and district suggest there is potential for targeted interventions that aim to increase access to affordable, nutrient-rich foods among these groups.

The present study aimed to take stock of nutrition interventions that warrant consideration as a minimum package of interventions in Indonesia to improve four key nutrition indicators for adolescents: stunting, thinness, overweight and anaemia.

We conducted a review of the peer-reviewed literature published between 1995 and 2017 on nutrition-specific and nutrition-sensitive interventions that target adolescents in Indonesia. The search to identify studies was conducted in PubMed, Google Scholar and EMBASE, using key search terms. We also explored programmatic and policy documents from the grey literature as they related to adolescents and/or Indonesia. Our search yielded thirty-five peer-reviewed articles and programmatic documents.

Indonesia.

Adolescent girls and boys.

There is very limited evidence on the impact of interventions specifically among adolescents in Indonesia. Nevertheless, findings from our review suggest the minimum package of interventions in Indonesia could include the following nutrition-specifc interventions: (i) iron–folic acid supplements, paired with antihelminths delivered at scale via school-based platforms and through health centres; and (ii) diet counselling and nutrition education provided through school-based platforms, adolescent youth centres/peer education and technology-based platforms. The minimum package could also include the following nutrition-sensitive interventions: (i) improving access to reproductive health services; and (ii) increasing the coverage of interventions designed to increase school attendance.

Programmes and policies targeting adolescent nutrition are relatively new and coverage is low. To improve the nutritional status of this vulnerable population, additional evaluations of adolescent programming and surveillance data on adolescents are needed.

In 2012, Massachusetts enacted school competitive food and beverage standards similar to national Smart Snacks. These standards aim to improve the nutritional quality of competitive snacks. It was previously demonstrated that a majority of foods and beverages were compliant with the standards, but it was unknown whether food manufacturers reformulated products in response to the standards. The present study assessed whether products were reformulated after standards were implemented; the availability of reformulated products outside schools; and whether compliance with the standards improved the nutrient composition of competitive snacks.

An observational cohort study documenting all competitive snacks sold before (2012) and after (2013 and 2014) the standards were implemented.

The sample included thirty-six school districts with both a middle and high school.

After 2012, energy, saturated fat, Na and sugar decreased and fibre increased among all competitive foods. By 2013, 8 % of foods were reformulated, as were an additional 9 % by 2014. Nearly 15 % of reformulated foods were look-alike products that could not be purchased at supermarkets. Energy and Na in beverages decreased after 2012, in part facilitated by smaller package sizes.

Massachusetts’ law was effective in improving the nutritional content of snacks and product reformulation helped schools adhere to the law. This suggests fully implementing Smart Snacks standards may similarly improve the foods available in schools nationally. However, only some healthier reformulated foods were available outside schools.

To determine the nutritional status of a cohort of 11–12 year olds and ascertain social and demographic factors associated with under- and overweight in early adolescence.

Cross-sectional.

Subgroup (n=1698) of the birth cohort (September–October 1986) of the Jamaican Perinatal Survey enrolled in schools in the Kingston Metropolitan area. One thousand and sixty-three parents or caregivers provided social and demographic information.

Undernutrition and overnutrition are of public health significance among adolescent Jamaican children. Ten per cent of 11–12 year olds had body mass index (BMI) values below the 5th percentile (boys, 10.6%; girls, 7.1%) but this prevalence is relatively low compared with other developing countries. The prevalence of stunting was low (3%). The prevalence of overweight (BMI≥85th percentile) (19.3%) was approaching prevalence rates found in the USA. Similar social and demographic variables were associated with thinness and fatness in males. Birth weight predicted overweight in girls.

Under- and overnutrition in early adolescence are important problems in Jamaica. There is a need to address both under- and overnutrition in adolescence in preventive and rehabilitative intervention programmes.

To assess the ability of a food frequency questionnaire (FFQ1) and a food checklist (FCL) to determine energy and macronutrient intakes of adolescent girls in the general population.

Energy and macronutrient intakes determined by FFQ1 and the FCL were compared with those from a 7-day weighed dietary record (WDR). The reproducibility of FFQ1 was assessed by a comparison of intakes with those from a repeated questionnaire (FFQ2) completed a month later.

Southampton, UK.

Forty-seven 15-year-old girls completed FFQ1 and the WDR and FCL; and 61 girls completed FFQ1 and FFQ2.

The broad dietary patterns described by the three methods of assessment were similar, although absolute intakes differed. Energy and macronutrient intakes determined by FFQ1 were higher than those recorded in the WDR (all P < 0.001), but intakes assessed by the FCL and WDR were similar. Only FFQ1-assessed energy intakes appeared consistent with predicted energy requirements. With the exception of protein intake, there was reasonable agreement between FFQ1 and the WDR in their estimation of energy and macronutrient intake (range of correlation coefficients 0.28 for energy to 0.33 for carbohydrate). The poorer agreement between FFQ1 and the WDR in their estimates of protein intake arose principally from the misclassification of meat and fish intake, although there was no obvious explanation for this. Energy and macronutrient intakes were similar for FFQ1 and FFQ2.

Adolescent girls give reproducible answers in response to a self-administered FFQ, which yield useful information about their broad dietary patterns. The FFQ may be a more suitable dietary assessment method than prospective records for use in general population studies of girls of this age. We discuss suggestions for its improved performance.