To undertake a systematic review to determine similarities and differences in metrics and results between recently and/or currently used tools, protocols and methods for monitoring Australian healthy food prices and affordability.

Electronic databases of peer-reviewed literature and online grey literature were systematically searched using the PRISMA approach for articles and reports relating to healthy food and diet price assessment tools, protocols, methods and results that utilised retail pricing.

National, state, regional and local areas of Australia from 1995 to 2015.

Assessment tools, protocols and methods to measure the price of ‘healthy’ foods and diets.

The search identified fifty-nine discrete surveys of ‘healthy’ food pricing incorporating six major food pricing tools (those used in multiple areas and time periods) and five minor food pricing tools (those used in a single survey area or time period). Analysis demonstrated methodological differences regarding: included foods; reference households; use of availability and/or quality measures; household income sources; store sampling methods; data collection protocols; analysis methods; and results.

‘Healthy’ food price assessment methods used in Australia lack comparability across all metrics and most do not fully align with a ‘healthy’ diet as recommended by the current Australian Dietary Guidelines. None have been applied nationally. Assessment of the price, price differential and affordability of healthy (recommended) and current (unhealthy) diets would provide more robust and meaningful data to inform health and fiscal policy in Australia. The INFORMAS ‘optimal’ approach provides a potential framework for development of these methods.

Many dietary assessment methods attempt to estimate total food and nutrient intake. If the intention is simply to determine whether participants achieve dietary recommendations, this leads to much redundant data. We used data mining techniques to explore the number of foods that intake information was required on to accurately predict achievement, or not, of key dietary recommendations.

We built decision trees for achievement of recommendations for fruit and vegetables, sodium, fat, saturated fat and free sugars using data from a national dietary surveillance data set. Decision trees describe complex relationships between potential predictor variables (age, sex and all foods listed in the database) and outcome variables (achievement of each of the recommendations).

UK National Diet and Nutrition Survey (NDNS, 2008–12).

The analysis included 4156 individuals.

Information on consumption of 113 out of 3911 (3 %) foods, plus age and sex was required to accurately categorize individuals according to all five recommendations. The best trade-off between decision tree accuracy and number of foods included occurred at between eleven (for fruit and vegetables) and thirty-two (for fat, plus age) foods, achieving an accuracy of 72 % (for fat) to 83 % (for fruit and vegetables), with similar values for sensitivity and specificity.

Using information on intake of 113 foods, it is possible to predict with 72–83 % accuracy whether individuals achieve key dietary recommendations. Substantial further research is required to make use of these findings for dietary assessment.

To assess the stability and changes in fruit and vegetable (FV) consumption over a 3-year period during adolescence in a population-based birth cohort.

Longitudinal descriptive study. FV consumption was collected in 2008 and 2011/12 using an FFQ. We conducted descriptive analyses of medians to assess the trends in FV intake over time. Stability of FV intake was assessed by percentage of agreement and kappa coefficients.

Pelotas, Rio Grande do Sul, Brazil.

Adolescents from 15 to 18 years of age (n 3915).

We observed an overall slight decrease in FV consumption during adolescence and also a moderate stability, especially in those with higher socio-economic status (proportion of agreement 38·6 % and 40·5 % for boys and girls, respectively). About a half of those consuming low levels of FV at 15 years of age still consumed low levels 3 years later.

Our results showed that FV consumption presented a moderate stability across a 3-year period during adolescence, especially in those with higher socio-economic status. Given the great proportions of non-communicable diseases such as CVD, diabetes and obesity, knowledge about the patterns of FV consumption during adolescence has implications for health promotion interventions.

(i) To determine the Na content of commonly consumed fast foods in New Zealand and (ii) to estimate Na intake from savoury fast foods for the New Zealand adult population.

Commonly consumed fast foods were identified from the 2008/09 New Zealand Adult Nutrition Survey. Na values from all savoury fast foods from chain restaurants (n 471) were obtained from nutrition information on company websites, while the twelve most popular fast-food types from independent outlets (n 52) were determined using laboratory analysis. Results were compared with the UK Food Standards Agency 2012 sodium targets. Nutrient analysis was completed to estimate Na intake from savoury fast foods for the New Zealand population using the 2008/09 New Zealand Adult Nutrition Survey.

New Zealand.

Adults aged 15 years and above.

From chain restaurants, sauces/salad dressings and fried chicken had the highest Na content (per 100 g) and from independent outlets, sausage rolls, battered hotdogs and mince and cheese pies were highest in Na (per 100 g). The majority of fast foods exceeded the UK Food Standards Agency 2012 sodium targets. The mean daily Na intake from savoury fast foods was 283 mg/d for the total adult population and 1229 mg/d for fast-food consumers.

Taking into account the Na content and frequency of consumption, potato dishes, filled rolls, hamburgers and battered fish contributed substantially to Na intake for fast-food consumers in New Zealand. These foods should be targeted for Na reduction reformulation.

The relationship between caesarean sections (C-sections) and infant feeding varies between different samples and indicators of feeding. The current study aimed to determine the relationship between C-sections and five indicators of infant milk feeding (breast-feeding within 1 h after delivery, at the time of the survey (current) and ever; milk-based prelacteal feeds; and current non-breast milk use) over time in a country with a rapidly rising C-section rate.

Secondary data analysis on cross-sectional data from Demographic and Health Surveys from six different time points between 1986 and 2013.

Dominican Republic.

Infants under 6 months of age.

Over 90 % of infants were ever breast-fed in each survey sample. However, non-breast milk use has expanded over time with a concomitant drop in predominant breast-feeding. C-section prevalence has increased over time reaching 63 % of sampled infants in the most recent survey. C-sections remained significantly related to three infant feeding practices – the child not put to the breast within 1 h after delivery, milk-based prelacteal feeds and current non-breast milk use – in multivariate models that included sociodemographic control variables. However, current non-breast milk use was no longer related to C-sections when milk-based prelacteal feeds were factored into the model.

Reducing or avoiding milk-based prelacteal feeds, particularly among those having C-sections, may improve subsequent breast-feeding patterns. Simultaneously, efforts are needed to understand and help reduce the exceptionally high C-section rate in the Dominican Republic.

Measurement error in self-reported total sugars intake may obscure associations between sugars consumption and health outcomes, and the sum of 24 h urinary sucrose and fructose may serve as a predictive biomarker of total sugars intake.

The Study of Latinos: Nutrition & Physical Activity Assessment Study (SOLNAS) was an ancillary study to the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) cohort. Doubly labelled water and 24 h urinary sucrose and fructose were used as biomarkers of energy and sugars intake, respectively. Participants’ diets were assessed by up to three 24 h recalls (88 % had two or more recalls). Procedures were repeated approximately 6 months after the initial visit among a subset of ninety-six participants.

Four centres (Bronx, NY; Chicago, IL; Miami, FL; San Diego, CA) across the USA.

Men and women (n 477) aged 18–74 years.

The geometric mean of total sugars was 167·5 (95 % CI 154·4, 181·7) g/d for the biomarker-predicted and 90·6 (95 % CI 87·6, 93·6) g/d for the self-reported total sugars intake. Self-reported total sugars intake was not correlated with biomarker-predicted sugars intake (r=−0·06, P=0·20, n 450). Among the reliability sample (n 90), the reproducibility coefficient was 0·59 for biomarker-predicted and 0·20 for self-reported total sugars intake.

Possible explanations for the lack of association between biomarker-predicted and self-reported sugars intake include measurement error in self-reported diet, high intra-individual variability in sugars intake, and/or urinary sucrose and fructose may not be a suitable proxy for total sugars intake in this study population.

Despite the usefulness of quantitative research, qualitative research methodologies are equally needed to allow researchers to better understand the important social and environmental factors affecting food choice and eating habits. The present paper contributes insights from narrative inquiry, a well-established qualitative methodology, to a food-related doctoral research study. The connections between food shoppers and the producer, family, friends and others in the food system, between eaters and the earth, and how these connections affect people’s meaning-making of food and pathways to food citizenship, were explored in the research.

The research used narrative inquiry methodology and focus groups for data collection.

Five different food-ways in the Canberra region of Australia were selected for the present research; that is, community gardens, community-supported agriculture, farmers’ markets, fresh food markets and supermarkets.

Fifty-two people voluntarily attended eight focus groups with four to nine participants in each.

From a practical perspective, the present paper offers a guide to the way in which narrative inquiry has been applied to one research project. The paper describes the application of narrative inquiry methodology, revealing the important place of narratives in generating new knowledge. The paper further outlines how phased narrative analysis can lead to a defensible and rigorous interpretive framework grounded in the data generated from people’s stories and meaning-making.

We argue that individual, social and system change will not be possible without further rigorous qualitative studies to inform and complement the empirical basis of public health nutrition practice.

The contribution of subsidized food commodities to total food consumption is unknown. We estimated the proportion of individual energy intake from food commodities receiving the largest subsidies from 1995 to 2010 (corn, soyabeans, wheat, rice, sorghum, dairy and livestock).

Integrating information from three federal databases (MyPyramid Equivalents, Food Intakes Converted to Retail Commodities, and What We Eat in America) with data from the 2001–2006 National Health and Nutrition Examination Surveys, we computed a Subsidy Score representing the percentage of total energy intake from subsidized commodities. We examined the score’s distribution and the probability of having a ‘high’ (≥70th percentile) v. ‘low’ (≤30th percentile) score, across the population and subgroups, using multivariate logistic regression.

Community-dwelling adults in the USA.

Participants (n 11 811) aged 18–64 years.

Median Subsidy Score was 56·7 % (interquartile range 47·2–65·4 %). Younger, less educated, poorer, and Mexican Americans had higher scores. After controlling for covariates, age, education and income remained independently associated with the score: compared with individuals aged 55–64 years, individuals aged 18–24 years had a 50 % higher probability of having a high score (P<0·0001). Individuals reporting less than high-school education had 21 % higher probability of having a high score than individuals reporting college completion or higher (P=0·003); individuals in the lowest tertile of income had an 11 % higher probability of having a high score compared with individuals in the highest tertile (P=0·02).

Over 50 % of energy in US diets is derived from federally subsidized commodities.

Public health experts raise concerns about marketing unhealthy products to young people through television (TV) product placements. Coca-Cola brand appearances (product placements) reached a substantial child and adolescent audience in 2008, but additional brands now sponsor popular programming. We aimed to quantify child and adolescent exposure to food and beverage appearances since 2008.

In 2015, we purchased Nielsen data on occurrences and child/adolescent exposure to food, beverage and restaurant brand appearances on US prime-time TV from 2009 to 2014, and analysed appearances by product category, company, brand and year. We compared exposure to appearances with exposure to traditional commercials for top brands.

Nationally representative panel of approximately 20 000 TV-viewing households.

Children (2–11 years) and adolescents (12–17 years).

Exposure to food and beverage brand appearances peaked in 2012 and declined through 2014. Whereas full-calorie soda brands dominated before 2012, other sugary drink and quick-serve restaurant brands contributed over one-third of appearances viewed by children in 2013 and 2014. Nine hundred and fifty-four companies had brand appearances from 2009 to 2014, but just four were responsible for over half of exposures: The Coca-Cola Company, Dr Pepper Snapple Group, PepsiCo and Starbucks. Approximately half were viewed on reality TV programmes and one sitcom. Each year from 2009 to 2013, brand appearance exposure exceeded traditional advertising exposure for at least one brand.

Despite recent reductions in brand appearances viewed by young people, some unhealthy branded products continue to be marketed via this method. We suggest policy options to reduce child and adolescent exposure to such appearances.

The present study is the first to use nationally representative data to compare rates of food insecurity among households with veterans of the US Armed Forces and non-veteran households.

We used data from the 2005–2013 waves of the Current Population Survey – Food Security Supplement to identify rates of food insecurity and very low food security in veteran and non-veteran households. We estimated the odds and probability of food insecurity in veteran and non-veteran households in uncontrolled and controlled models. We replicated these results after separating veteran households by their most recent period of service. We weighted models to create nationally representative estimates.

Nationally representative data from the 2005–2013 waves of the Current Population Survey – Food Security Supplement.

US households (n 388 680).

Uncontrolled models found much lower rates of food insecurity (8·4 %) and very low food security (3·3 %) among veteran households than in non-veteran households (14·4 % and 5·4 %, respectively), with particularly low rates among households with older veterans. After adjustment, average rates of food insecurity and very low food security were not significantly different for veteran households. However, the probability of food insecurity was significantly higher among some recent veterans and significantly lower for those who served during the Vietnam War.

Although adjusting eliminated many differences between veteran and non-veteran households, veterans who served from 1975 and onwards may be at higher risk for food insecurity and should be the recipients of targeted outreach to improve nutritional outcomes.

To assess dietary intake of pregnant women against the Australian Dietary Guidelines with respect to the Five Food Group recommendations and determine predictors of adherence to the recommendations.

Cross-sectional web-based survey. Data were analysed using descriptive statistics and logistic regression.

Pregnant women living in Australia. A national sample was recruited using an online panel provider and a South Australian sample was recruited through the antenatal clinic of a large public maternity hospital.

A total of 857 pregnant women.

Fifty-six per cent, 29 % and less than 10 % of women met the recommendations for the fruit, dairy and other core food groups, respectively. None of the women met the recommendations for all Five Food Groups. Women who were born overseas and who were less physically active pre-pregnancy were less likely to adhere to the fruit and dairy recommendations. Women who smoked during pregnancy, were overweight pre-pregnancy and had lower household incomes were also less likely to meet the fruit recommendations; and women living in metropolitan areas were less likely to meet the vegetable recommendations. Sixty-one per cent believed their diet during this pregnancy was healthy.

The majority of pregnant women in Australia perceive their diets to be healthy yet they do not consume the recommended daily servings from the Five Food Groups. Intervention strategies are warranted, particularly those that increase women’s ability to evaluate their diet and also encourage positive dietary changes. These strategies may increase adoption of dietary guidelines and optimise pregnancy and other long-term health outcomes.

The present article tracks the development of the Australian National Food Plan as a ‘whole of government’ food policy that aimed to integrate elements of nutrition and sustainability alongside economic objectives.

The article uses policy analysis to explore the processes of consultation and stakeholder involvement in the development of the National Food Plan, focusing on actors from the sectors of industry, civil society and government. Existing documentation and submissions to the Plan were used as data sources. Models of health policy analysis and policy streams were employed to analyse policy development processes.

Australia.

Australian food policy stakeholders.

The development of the Plan was influenced by powerful industry groups and stakeholder engagement by the lead ministry favoured the involvement of actors representing the food and agriculture industries. Public health nutrition and civil society relied on traditional methods of policy influence, and the public health nutrition movement failed to develop a unified cross-sector alliance, while the private sector engaged in different ways and presented a united front. The National Food Plan failed to deliver an integrated food policy for Australia. Nutrition and sustainability were effectively sidelined due to the focus on global food production and positioning Australia as a food ‘superpower’ that could take advantage of the anticipated ‘dining boom’ as incomes rose in the Asia-Pacific region.

New forms of industry influence are emerging in the food policy arena and public health nutrition will need to adopt new approaches to influencing public policy.

To develop and validate a photographic food atlas of common foods for dietary assessment in southern Nepal.

We created a life-sized photographic atlas of forty locally prepared foods. Between March and June 2014, data collectors weighed portion sizes that respondents consumed during one mealtime and then a different data collector revisited the household the next day to record respondents’ estimations of their previous day’s intakes using the atlas. Validity was assessed by percentage error, Cohen’s weighted kappa (κw) and Bland–Altman limits of agreement.

Dhanusha and Mahottari districts in southern Nepal.

A random sample of ninety-five adults in forty-eight rural households with a pregnant woman.

Overall, respondents underestimated their intakes (mean error =−4·5 %). Rice and dal (spiced lentil soup) intakes were underestimated (−14·1 % and −34·5 %, respectively), but vegetable curry intake was overestimated (+20·8 %). Rice and vegetable curry portion size images were significantly reliably selected (Cohen’s κw (se): rice=0·391 (0·105); vegetable curry=0·430 (0·139)), whereas dal images were not. Energy intake over one mealtime was under-reported by an average of 569 kJ (136 kcal; 4·5 % error) using recall compared with the weighing method.

The photographic atlas is a useful tool for field estimation of dietary intake. Average errors were low, and there was ‘modest’ agreement between weighed and recalled portion size image selection of rice and vegetable curry food items. Error in energy estimation was low but with wide limits of agreement, suggesting that there is scope for future work to reduce error further.

We examined the association between dietary patterns and diabetes using the strengths of two methods: principal component analysis (PCA) to identify the eating patterns of the population and reduced rank regression (RRR) to derive a pattern that explains the variation in glycated Hb (HbA1c), homeostasis model assessment of insulin resistance (HOMA-IR) and fasting glucose.

We measured diet over a 3 d period with 24 h recalls and a household food inventory in 2006 and used it to derive PCA and RRR dietary patterns. The outcomes were measured in 2009.

Adults (n 4316) from the China Health and Nutrition Survey.

The adjusted odds ratio for diabetes prevalence (HbA1c≥6·5 %), comparing the highest dietary pattern score quartile with the lowest, was 1·26 (95 % CI 0·76, 2·08) for a modern high-wheat pattern (PCA; wheat products, fruits, eggs, milk, instant noodles and frozen dumplings), 0·76 (95 % CI 0·49, 1·17) for a traditional southern pattern (PCA; rice, meat, poultry and fish) and 2·37 (95 % CI 1·56, 3·60) for the pattern derived with RRR. By comparing the dietary pattern structures of RRR and PCA, we found that the RRR pattern was also behaviourally meaningful. It combined the deleterious effects of the modern high-wheat pattern (high intakes of wheat buns and breads, deep-fried wheat and soya milk) with the deleterious effects of consuming the opposite of the traditional southern pattern (low intakes of rice, poultry and game, fish and seafood).

Our findings suggest that using both PCA and RRR provided useful insights when studying the association of dietary patterns with diabetes.

To investigate the relationship between sweetened beverage consumption and depressive symptoms among adolescents.

In a cross-sectional study, adolescents were asked how often they drank soda and fruit drinks in the past 7 d. Depressive symptoms were measured using a brief adapted version of the Modified Depression Scale. Summation scores were standardized using the Z-transformation. We used multilevel multiple linear regression models to estimate the association between soda and fruit drink consumption and depressive symptoms.

The 2008 Boston Youth Survey.

Adolescents (n 1878), high-school students in grades 9–12 of Boston public schools, Massachusetts, USA.

Compared with those who never drank soda in the past 7 d, those who consumed soda 2–6 times/week (β=0·18; 95 % CI 0·04, 0·32) or ≥1 times/d (β=0·29; 95 % CI 0·13, 0·45) had higher depressive symptoms. Similarly, those who consumed fruit drinks 2–6 times/week (β=0·14; 95 % CI 0·00, 0·28) and those who consumed ≥1 times/d (β=0·22; 95 % CI 0·04, 0·40) had higher depressive symptoms.

Frequent consumption of both soda and fruit drinks is associated with greater depressive symptoms among adolescents.

To validate estimated intakes of carotenoid-rich foods from a web-based food recall (WebFR) using carotenoids in blood as an objective reference method.

Cross-sectional validation study using carotenoids in plasma to evaluate estimated intakes of selected carotenoid-rich foods. Participants recorded their food intake in the WebFR and plasma concentrations of β-carotene, α-carotene, β-cryptoxanthin, lycopene, lutein and zeaxanthin were measured.

Schools and homes of families in a suburb of the capital of Norway.

A total of 261 participants in the age groups 8–9 and 12–14 years.

Spearman’s rank correlation coefficients ranged from 0·30 to 0·44, and cross-classification showed that 71·6–76·6 % of the participants were correctly classified, when comparing the reported intakes of carotenoid-rich foods and concentrations of the corresponding carotenoids in plasma, not including lutein and zeaxanthin.

Correlations were acceptable and cross-classification analyses demonstrated that the WebFR was able to rank participants according to their reported intake of foods rich in α-carotene, β-carotene, β-cryptoxanthin and lycopene. The WebFR is a promising tool for dietary assessment among children and adolescents.

Menu labelling is a practical tool to inform consumers of the energy content of menu items and help consumers make informed decisions in the eating-out environment, and the volume of studies published recently regarding its effects is expanding, both quantitatively and geographically. The aim of the present review and meta-analysis is to consider the most recent evidence which assesses the effect of menu labelling regarding changes in energy consumed, ordered or selected in both real-world and experimental settings.

The review included fifteen peer-reviewed, full-text articles published between 2012 and 2014. Pertinent methodological information was extracted from each of the included studies and a quality assessment scheme was applied to classify the studies, after which systematic across-study comparisons were conducted. A meta-analysis was conducted including twelve of the fifteen studies, and stratified according to type of research setting and outcome: energy consumed, ordered or selected.

The rating yielded studies categorized by study quality: good (n 3), fair (n 9) and weak (n 3). Overall nine studies showed statistically significant reductions in energy consumed, ordered or selected. Three articles reported no effect of menu labelling. The meta-analysis showed statistically significant effects of menu labelling: overall energy consumed was reduced by a mean of 419·5 kJ (100·2 kcal) and energy ordered in real-world settings decreased by a mean of 325·7 kJ (77·8 kcal).

The review supports that menu labelling can effectively reduce energy ordered and consumed in the away-from-home food environment.

Health and nutritional information for many countries in the South-East Asian region is either lacking or no longer up to date. The present study aimed to calculate length/height percentile values for the South-East Asian Nutrition Survey (SEANUTS) populations aged 0·5–12 years, examine the appropriateness of pooling SEANUTS data for calculating common length/height percentile values for all SEANUTS countries and whether these values differ from the WHO growth references.

Data on length/height-for-age percentile values were collected. The LMS method was used for calculating smoothened percentile values. Standardized site effects (SSE) were used for identifying large or unacceptable differences (i.e. $\mid\! \rm SSE \!\mid$ >0·5) between the pooled SEANUTS sample (including all countries) and the remaining pooled SEANUTS samples (including three countries) after weighting sample sizes and excluding one single country each time, as well as with WHO growth references.

Malaysia, Thailand, Vietnam and Indonesia.

Data from 14202 eligible children were used.

From pair-wise comparisons of percentile values between the pooled SEANUTS sample and the remaining pooled SEANUTS samples, the vast majority of differences were acceptable (i.e. $\mid\! \rm SSE \!\mid$ ≤0·5). In contrast, pair-wise comparisons of percentile values between the pooled SEANUTS sample and WHO revealed large differences.

The current study calculated length/height percentile values for South East Asian children aged 0·5–12 years and supported the appropriateness of using pooled SEANUTS length/height percentile values for assessing children’s growth instead of country-specific ones. Pooled SEANUTS percentile values were found to differ from the WHO growth references and therefore this should be kept in mind when using WHO growth curves to assess length/height in these populations.

To assess the Na content reported on the labels of processed foods sold in Brazil that are usually consumed as snacks by children and adolescents.

Cross-sectional study that assessed Na content and serving size reporting on processed food labels.

A supermarket that is part of a large chain in Brazil.

All foods available for sale at the study’s location and reported in the literature as snacks present in the diets of Brazilian children and adolescents.

Of the 2945 processed foods, 87 % complied with the reference serving sizes, although variability in reporting was observed in most of the food subgroups. In addition, 21 % of the processed foods had high Na levels (>600 mg/100 g) and 35 % had medium Na levels (>120 and ≤600 mg/100 g). The meats, oils, fats and seeds groups as well as the prepared dishes had higher percentages of foods classified as high Na (81 %, 58 % and 53 %, respectively).

Most of the processed foods had high or medium Na content. We emphasize the importance of revising Brazilian nutrition labelling legislation to standardize reference serving sizes to avoid variation. Besides, we point out the potential for reducing Na levels in most processed foods, as evidenced by the variability in Na content within subgroups. Finally, we have identified the need to develop a method to classify Na levels in processed foods with specific parameters for children and adolescents.