Convenience and cost impact on people’s meal decisions. Takeaway and pre-prepared foods save preparation time but may contribute to poorer-quality diets. Analysing the impact of time on relative cost differences between meals of varying convenience contributes to understanding the barrier of time to selecting healthy meals.

Six popular New Zealand takeaway meals were identified from two large national surveys and compared with similar, but healthier, home-made and home-assembled meals that met nutrition targets consistent with New Zealand Eating and Activity Guidelines. The cost of each complete meal, cost per kilogram, and confidence intervals of the cost of each meal type were calculated. The time-inclusive cost was calculated by adding waiting or preparation time cost at the minimum wage.

A large urban area in New Zealand.

For five of six popular meals, the mean cost of the home-made and home-assembled meals was cheaper than the takeaway meals. When the cost of time was added, all home-assembled meal options were the cheapest and half of the home-made meals were at least as expensive as the takeaway meals. The home-prepared meals were designed to provide less saturated fat and Na and more vegetables than their takeaway counterparts; however, the home-assembled meals provided more Na than the home-made meals.

Healthier home-made and home-assembled meals were, except one, cheaper options than takeaways. When the cost of time was added, either the home-made or the takeaway meal was the most expensive. This research questions whether takeaways are better value than home-prepared meals.

Climate change is projected to increase the burden of food insecurity (FI) globally, particularly among populations that depend on subsistence agriculture. The impacts of climate change will have disproportionate effects on populations with higher existing vulnerability. Indigenous people consistently experience higher levels of FI than their non-Indigenous counterparts and are more likely to be dependent upon land-based resources. The present study aimed to understand the sensitivity of the food system of an Indigenous African population, the Batwa of Kanungu District, Uganda, to seasonal variation.

A concurrent, mixed methods (quantitative and qualitative) design was used. Six cross-sectional retrospective surveys, conducted between January 2013 and April 2014, provided quantitative data to examine the seasonal variation of self-reported household FI. This was complemented by qualitative data from focus group discussions and semi-structured interviews collected between June and August 2014.

Ten rural Indigenous communities in Kanungu District, Uganda.

FI data were collected from 130 Indigenous Batwa Pygmy households. Qualitative methods involved Batwa community members, local key informants, health workers and governmental representatives.

The dry season was associated with increased FI among the Batwa in the quantitative surveys and in the qualitative interviews. During the dry season, the majority of Batwa households reported greater difficulty in acquiring sufficient quantities and quality of food. However, the qualitative data indicated that the effect of seasonal variation on FI was modified by employment, wealth and community location.

These findings highlight the role social factors play in mediating seasonal impacts on FI and support calls to treat climate associations with health outcomes as non-stationary and mediated by social sensitivity.

Dietary advice is fundamental in the prevention and management of type 2 diabetes (T2DM). Advice is improved by individual assessment but existing methods are time-consuming and require expertise. We developed a twenty-five-item questionnaire, the UK Diabetes and Diet Questionnaire (UKDDQ), for quick assessment of an individual’s diet. The present study examined the UKDDQ’s repeatability and relative validity compared with 4 d food diaries.

The UKDDQ was completed twice with a median 3 d gap (interquartile range=1–7 d) between tests. A 4 d food diary was completed after the second UKDDQ. Diaries were analysed and food groups were mapped on to the UKDDQ. Absolute agreement between total scores was examined using intra-class correlation (ICC). Agreement for individual items was tested with Cohen’s weighted kappa (κw).

South West of England.

Adults (n 177, 50·3 % women) with, or at high risk for, T2DM; mean age 55·8 (sd 8·6) years, mean BMI 34·4 (sd 7·3) kg/m2; participants were 91 % White British.

The UKDDQ showed excellent repeatability (ICC=0·90 (0·82, 0·94)). For individual items, κw ranged from 0·43 (‘savoury pastries’) to 0·87 (‘vegetables’). Total scores from the UKDDQ and food diaries compared well (ICC=0·54 (0·27, 0·70)). Agreement for individual items varied and was good for ‘alcohol’ (κw=0·71) and ‘breakfast cereals’ (κw=0·70), with no agreement for ‘vegetables’ (κw=0·08) or ‘savoury pastries’ (κw=0·09).

The UKDDQ is a new British dietary questionnaire with excellent repeatability. Comparisons with food diaries found agreements similar to those for international dietary questionnaires currently in use. It targets foods and habits important in diabetes prevention and management.

To review regulations and to perform a media audit of promotion of products under the scope of the International Code of Marketing of Breast-milk Substitutes (‘the Code’) in South-East Asia.

We reviewed national regulations relating to the Code and 800 clips of editorial content, 387 advertisements and 217 Facebook posts from January 2015 to January 2016. We explored the ecological association between regulations and market size, and between the number of advertisements and market size and growth of milk formula.

Cambodia, Indonesia, Myanmar, Thailand and Vietnam.

Regulations on the child’s age for inappropriate marketing of products are all below the Code’s updated recommendation of 36 months (i.e. 12 months in Thailand and Indonesia; 24 months in the other three countries) and are voluntary in Thailand. Although the advertisements complied with the national regulations on the age limit, they had content (e.g. stages of milk formula; messages about the benefit; pictures of a child) that confused audiences. Market size and growth of milk formula were positively associated with the number of newborns and the number of advertisements, and were not affected by the current level of implementation of breast-milk substitute laws and regulations.

The present media audit reveals inappropriate promotion and insufficient national regulation of products under the scope of the Code in South-East Asia. Strengthened implementation of regulations aligned with the Code’s updated recommendation should be part of comprehensive strategies to minimize the harmful effects of advertisements of breast-milk substitutes on maternal and child nutrition and health.

To determine and compare the level of implementation of policies for healthy food environments in Thailand with reference to international best practice by state and non-state actors.

Data on the current level of implementation of food environment policies were assessed independently using the adapted Healthy Food Environment Policy Index (Food-EPI) by two groups of actors. Concrete actions were proposed for Thai Government. A joint meeting between both groups was subsequently held to reach consensus on priority actions.

Thailand.

Thirty state actors and twenty-seven non-state actors.

Level of policy implementation varied across different domains and actor groups. State actors rated implementation levels higher than non-state actors. Both state and non-state actors rated level of implementation of monitoring of BMI highest. Level of implementation of policies promoting in-store availability of healthy foods and policies increasing tax on unhealthy foods were rated lowest by state and non-state actors, respectively. Both groups reached consensus on eleven priority actions for implementation, focusing on food provision in public-sector settings, food composition, food promotion, leadership, monitoring and intelligence, and food trade.

Although the implementation gaps identified and priority actions proposed varied between state and non-state actors, both groups achieved consensus on a comprehensive food policy package to be implemented by the Thai Government to improve the healthiness of food environments. This consensus is a platform for continued policy dialogue towards cross-sectoral policy coherence and effective actions to address the growing burden of non-communicable diseases and obesity in Thailand.

To investigate socio-economic differences in children’s diet, activity and inactivity and changes in these differences over 4 years during which new policies on food in schools were introduced.

Two cross-sectional surveys in which diet was assessed by FFQ and physical activity and inactivity were assessed by interviewer-administered questionnaire. Socio-economic status was assessed by the area-based Scottish Index of Multiple Deprivation.

Scotland, 2006 and 2010.

Children aged 3–17 years (n 1700 in 2006, n 1906 in 2010).

In both surveys there were significant linear associations between socio-economic deprivation and intakes of energy, non-milk extrinsic sugars (NMES) as a percentage of food energy, sugar-sweetened beverages, confectionery, crisps and savoury snacks and leisure-time screen use (all higher among children in more deprived areas), while intakes of fruit, fruit juice and vegetables showed the opposite trend. In 2010 children in more deprived areas engaged in more physical activity out of school than those in more affluent areas, but between 2006 and 2010 there was an overall reduction in physical activity out of school. There were also small but statistically significant overall reductions in intakes of confectionery, crisps and savoury snacks, energy and NMES and saturated fat as a percentage of food energy, but no statistically significant change in socio-economic gradients in diet or activity between the two surveys.

Interventions to improve diet and physical activity in children in Scotland need to be designed so as to be effective in all socio-economic groups.

The role of school lunches in diet quality has not been well studied. Here, we aimed to determine the contribution of school lunches to overall nutrient intake in Japanese schoolchildren.

The study was conducted nationwide under a cross-sectional design. A non-consecutive, three-day diet record was performed on two school days and a non-school day separately. The prevalence of inadequate nutrient intake was estimated for intakes on one of the school days and the non-school day, and for daily habitual intake estimated by the best-power method. The relationship between food intake and nutrient intake adequacy was examined.

Fourteen elementary and thirteen junior high schools in Japan.

Elementary-school children (n 629) and junior high-school children (n 281).

Intakes between the school and non-school days were significantly different for ≥60 % of nutrients. Almost all inadequacies were more prevalent on the non-school day. Regarding habitual intake, a high prevalence of inadequacy was observed for fat (29·9–47·7 %), dietary fibre (18·1–76·1 %) and salt (97·0–100 %). Inadequate habitual intake of vitamins and minerals (except Na) was infrequent in elementary-school children, but was observed in junior high-school children, particularly boys.

School lunches appear to improve total diet quality, particularly intake of most vitamins and minerals in Japanese children. However, excess intakes of fat and salt and insufficient intake of dietary fibre were major problems in this population. The contribution of school lunches to improving the intakes of these three nutrients was considered insufficient.

To comprehensively assess the extent, nature and impact of unhealthy food advertising targeted to children on New Zealand television.

Four weekdays and four weekend days were randomly selected over the period June–August 2015. Programming was recorded from 06.00 to 00.00 hours (midnight), for a total of 432 h. Audience ratings were used to identify children’s peak viewing times.

New Zealand.

The three major free-to-air channels.

The majority of foods advertised (n 1807) were unhealthy; 68·5 % of food advertisements included at least one food not permitted to be marketed to children according to the WHO nutrient profiling model. The mean hourly rate of unhealthy food advertising was 9·1 (sd 5·2). One-third of unhealthy food advertisements included a promotional character and one-third a premium offer. About 88 % of unhealthy food advertisements were shown during children’s peak viewing times. If unhealthy food advertisements were to be restricted during times when at least 25 % of children are watching television, this would reduce the average unhealthy food advertising impact by 24 % during weekdays and 50 % during weekend days, and if the WHO instead of the current nutrient profiling model were used to restrict unhealthy food advertising to children, the average impact would be reduced by 24 % during weekdays and 29 % during weekend days.

Current self-regulation is ineffective in protecting children from exposure to unhealthy food advertising on television. The WHO nutrient profiling model needs to be used to restrict unhealthy food advertising, especially during children’s peak viewing times.

Rates of premature mortality have been higher in Scotland than in England since the 1970s. Given the known association of diet with chronic disease, the study objective was to identify and synthesise evidence on current and historical differences in food and nutrient intakes in Scotland and England.

A rapid review of the peer-reviewed and grey literature was carried out. After an initial scoping search, Medline, CINAHL, Embase and Web of Science were searched. Relevant grey literature was also included. Inclusion criteria were: any date; measures of dietary intake; representative populations; cross-sectional or observational cohort studies; and English-language publications. Study quality was assessed using the Quality Assessment Tool for Observational Cohort and Cross-sectional Studies. A narrative synthesis of extracted information was conducted.

Fifty publications and reports were included in the review. Results indicated that children and adults in Scotland had lower intakes of vegetables and vitamins compared with those living in England. Higher intakes of salt in Scotland were also identified. Data were limited by small Scottish samples, difficulty in finding England-level data, lack of statistical testing and adjustment for key confounders.

Further investigation of adequately powered and analysed surveys is required to examine more fully dietary differences between Scotland and England. This would provide greater insight into potential causes of excess mortality in Scotland compared with England and suitable policy recommendations to address these inequalities.

The present study assessed systematic bias and the effects of data set error on the validity of food environment measures in two municipal and two commercial secondary data sets.

Sensitivity, positive predictive value (PPV) and concordance were calculated by comparing two municipal and two commercial secondary data sets with ground-truthed data collected within 800 m buffers surrounding twenty-six schools. Logistic regression examined associations of sensitivity and PPV with commercial density and neighbourhood socio-economic deprivation. Kendall’s τ estimated correlations between density and proximity of food outlets near schools constructed with secondary data sets v. ground-truthed data.

Vancouver, Canada.

Food retailers located within 800 m of twenty-six schools

All data sets scored relatively poorly across validity measures, although, overall, municipal data sets had higher levels of validity than did commercial data sets. Food outlets were more likely to be missing from municipal health inspections lists and commercial data sets in neighbourhoods with higher commercial density. Still, both proximity and density measures constructed from all secondary data sets were highly correlated (Kendall’s τ>0·70) with measures constructed from ground-truthed data.

Despite relatively low levels of validity in all secondary data sets examined, food environment measures constructed from secondary data sets remained highly correlated with ground-truthed data. Findings suggest that secondary data sets can be used to measure the food environment, although estimates should be treated with caution in areas with high commercial density.

To explore cross-sectional adherence to cancer prevention recommendations by adults enrolled in a prospective cohort in Alberta, Canada.

Questionnaire data were used to construct a composite cancer prevention adherence score for each participant, based on selected personal recommendations published by the World Cancer Research Fund/American Institute for Cancer Research (2007). Data were self-reported on health and lifestyle, past-year physical activity and past-year FFQ. The scores accounted for physical activity, dietary supplement use, body size, and intakes of alcohol, fruit, vegetables and red meat. Tobacco exposure was also included. Scores ranged from 0 (least adherent) to 7 (most adherent).

Alberta’s Tomorrow Project; a research platform based on a prospective cohort.

Adult men and women (n 24 988) aged 35–69 years recruited by random digit dialling and enrolled in Alberta’s Tomorrow Project between 2001 and 2009.

Of the cohort, 14 % achieved adherence scores ≥5 and 60 % had scores ≤3. Overall adherence scores were higher in women (mean (sd): 3·4 (1·1)) than in men (3·0 (1·2)). The extent of overall adherence was also associated with level of education, employment status, annual household income, personal history of chronic disease, family history of chronic disease and age.

Reported adherence to selected personal recommendations for cancer prevention was low in this cohort of adults. In the short to medium term, these results suggest that more work is required to identify behaviours to target with cancer prevention strategies at a population level. Future work will explore the associations between adherence scores and cancer risk in this cohort.

To update the estimate of mean salt intake for the Australian population made by the Australian Health Survey (AHS).

A secondary analysis of the data collected in a cross-sectional survey was conducted. Estimates of salt intake were made in Lithgow using the 24 h diet recall methodology employed by the AHS as well as using 24 h urine collections. The data from the Lithgow sample were age- and sex-weighted, to provide estimates of daily salt intake for the Australian population based upon (i) the diet recall data and (ii) the 24 h urine samples.

Lithgow, New South Wales, Australia.

Individuals aged ≥20 years residing in Lithgow and listed on the 2009 federal electoral roll.

Mean (95 % CI) salt intake estimated from the 24 h diet recalls was 6·4 (6·2, 6·7) g/d for the Lithgow population compared with a corresponding figure of 6·2 g/d for the Australian population derived from the AHS. The corresponding estimate of salt intake for Lithgow adults based upon the 24 h urine collections was 9·0 (8·6, 9·4) g/d. When the age- and sex-specific estimates of salt intake obtained from the 24 h urine collections in the Lithgow sample were weighted using Australian census data, estimated salt intake for the Australian population was 9·0 (8·6, 9·5) g/d. Further adjustment for non-urinary Na excretion made the best estimate of daily salt intake for both Lithgow and Australia about 9·9 g/d.

The dietary recall method used by the AHS likely substantially underestimated mean population salt consumption in Australia.

To determine the extent that Australian fast-food websites contain nutrition content and health claims, and whether these claims are compliant with the new provisions of the Australia New Zealand Food Standards Code (‘the Code’).

Systematic content analysis of all web pages to identify nutrition content and health claims. Nutrition information panels were used to determine whether products with claims met Nutrient Profiling Scoring Criteria (NPSC) and qualifying criteria, and to compare them with the Code to determine compliance.

Australian websites of forty-four fast-food chains including meals, bakery, ice cream, beverage and salad chains.

Any products marketed on the websites using health or nutrition content claims.

Of the forty-four fast-food websites, twenty (45 %) had at least one claim. A total of 2094 claims were identified on 371 products, including 1515 nutrition content (72 %) and 579 health claims (28 %). Five fast-food products with health (5 %) and 157 products with nutrition content claims (43 %) did not meet the requirements of the Code to allow them to carry such claims.

New provisions in the Code came into effect in January 2016 after a 3-year transition. Food regulatory agencies should review fast-food websites to ensure compliance with the qualifying criteria for nutrition content and health claim regulations. This would prevent consumers from viewing unhealthy foods as healthier choices. Healthy choices could be facilitated by applying NPSC to nutrition content claims. Fast-food chains should be educated on the requirements of the Code regarding claims.

The present review aimed to examine the association of eating frequency with body weight or body composition in adults of both sexes.

PubMed, EMBASE and Scopus databases were searched. PRISMA and MOOSE protocols were followed. Observational studies published up to August 2016 were included. The methodological quality of the studies was assessed with the Downs and Black checklist.

A systematic review of the literature.

Adults (n 136 052); the majority of studies were developed in the USA and Europe.

Thirty-one articles were included in the review: two prospective and twenty-nine cross-sectional studies. Thirteen per cent of the studies received quality scores above 80 %. The assessment of eating frequency and body composition or body weight varied widely across the studies. Potential confounders were included in 73 % of the studies. Fourteen studies reported an inverse association between eating frequency and body weight or body composition, and seven studies found a positive association. The majority of studies applied multiple analyses adjusted for potential confounders, such as sex, age, education, income, smoking, physical activity and alcohol intake. Six studies took into account under-reporting of eating frequency and/or energy intake in the analysis, and one investigated the mediation effect of energy intake.

There is not sufficient evidence confirming the association between eating frequency and body weight or body composition when misreporting bias is taken into account. However, in men, a potential protective effect of high eating frequency was observed on BMI and visceral obesity.

To estimate the proportion of products meeting Indian government labelling regulations and to examine the Na levels in packaged foods sold in India.

Nutritional composition data were collected from the labels of all packaged food products sold at Indian supermarkets in between 2012 and 2014. Proportions of products compliant with the Food Safety Standards Authority of India (FSSAI) regulations and labelled with Na content, and mean Na levels were calculated. Comparisons were made against 2010 data from Hyderabad and against the UK Department of Health (DoH) 2017 Na targets.

Eleven large chain retail stores in Delhi and Hyderabad, India.

Packaged food products (n 5686) categorised into fourteen food groups, thirty-three food categories and ninety sub-categories.

More packaged food products (43 v. 34 %; P<0·001) were compliant with FSSAI regulations but less (32 v. 38 %; P<0·001) reported Na values compared with 2010. Food groups with the highest Na content were sauces and spreads (2217 mg/100 g) and convenience foods (1344 mg/100 g). Mean Na content in 2014 was higher in four food groups compared with 2010 and lower in none (P<0·05). Only 27 % of foods in sub-categories for which there are UK DoH benchmarks had Na levels below the targets.

Compliance with nutrient labelling in India is improving but remains low. Many packaged food products have high levels of Na and there is no evidence that Indian packaged foods are becoming less salty.

Dietary diversity, and in particular consumption of nutrient-rich foods including fruits, vegetables, nuts, beans and animal-source foods, is linked to greater nutrient adequacy. We developed a ‘dietary gap assessment’ to evaluate the degree to which a nation’s food supply could support healthy diets at the population level.

In the absence of global food-based dietary guidelines, we selected the Dietary Approaches to Stop Hypertension (DASH) diet as an example because there is evidence it prevents diet-related chronic disease and supports adequate micronutrient intakes. We used the DASH guidelines to shape a hypothetical ‘healthy’ diet for the test country of Cameroon. Food availability was estimated using FAO Food Balance Sheet data on country-level food supply. For each of the seven food groups in the ‘healthy’ diet, we calculated the difference between the estimated national supply (in kcal, edible portion only) and the target amounts.

In Cameroon, dairy and other animal-source foods were not adequately available to meet healthy diet recommendations: the deficit was −365 kcal (–1527 kJ)/capita per d for dairy products and −185 kcal (–774 kJ)/capita per d for meat, poultry, fish and eggs. Adequacy of fruits and vegetables depended on food group categorization. When tubers and plantains were categorized as vegetables and fruits, respectively, supply nearly met recommendations. Categorizing tubers and plantains as starchy staples resulted in pronounced supply shortfalls: −109 kcal (–457 kJ)/capita per d for fruits and −94 kcal (–393 kJ)/capita per d for vegetables.

The dietary gap assessment illustrates an approach for better understanding how food supply patterns need to change to achieve healthier dietary patterns.

We quantified the prevalence of vitamin D status in 6–24-month-old underweight and normal-weight children and identified the socio-economic and dietary predictors for status.

Cross-sectional, baseline data from a nutritional intervention study were analysed. Multinomial logistic regression was used to estimate the odds of being vitamin D deficient or insufficient with the reference being vitamin D sufficient.

Urban slum area of Mirpur field site, Dhaka, Bangladesh.

Underweight (weight-for-age Z-score <−2·00) and normal-weight (weight-for-age Z-score ≥−1·00) children aged 6–24 months.

Among 468 underweight children, 23·1 % were sufficient, 42·3 % insufficient, 31·2 % deficient and 3·4 % severely vitamin D deficient. Among 445 normal-weight children, 14·8 % were sufficient, 39·6 % insufficient and 40·0 % deficient and 5·6 % severely deficient. With adjusted multinominal regression analysis, risk factors (OR (95 % CI)) for vitamin D deficiency in underweight children were: older age group (18–24 months old; 2·9 (1·5–5·7)); measurement of vitamin D status during winter (3·0 (1·4–6·4)) and spring (6·9 (3·0–16·1)); and maternal education (≥6 years of institutional education; 2·2 (1·0–4·9)). In normal-weight children, older age group (3·6 (1·2–10·6)) and living in the richest quintile (3·7 (1·1–12·5)) were found to be significantly associated with vitamin D insufficiency.

The study demonstrates a significant burden of vitamin D insufficiency and deficiency in both underweight and normal-weight children <2 years of age from an urban slum of Bangladesh. Identification of risk factors may help in mitigating the important burden in such children.