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Introduction: Overconsumption of energy dense, nutrient poor foods and beverages is a major problem globally. This study describes what and how Australian adults consume and are willing to change their intake in terms of discretionary food and beverage categories., Methods: Cross-sectional data were collected via the CSIRO Junk Food Analyser. This online tool contains short questions on discretionary food and beverage consumption, and items relating to stage of and willingness and strategies to reduce discretionary food and beverage intake. Analyses focussed on describing discretionary intake, adherence to guidelines and the prediction of willingness to change discretionary food intake amongst those exceeding guidelines., Results: In 2021, 41,109 Australian adults completed the CSIRO Junk Food Analyser. Participants were mostly female (73.1%) and aged 31-70 years (78.9%). Most participants exceeded dietary guidelines for discretionary food and beverage intake (67.4%, 27,694/41,109) with 40% reporting actively trying to reduce intake. Most people exceeding guidelines did so in categories of alcohol (39.3%) and cakes and biscuits (21.0%). Yet, willingness to change intake was lowest for alcohol (median, IQR of 3, 2:4 out of 5). Almost half of the participants were willing to try 'having a few days off per week' (46.0%), while only 13.4% were willing to try to 'eliminate' their highest ranked category., Discussion: Australian adults are willing to reduce their discretionary food and beverage intake, but simply targeting the foods and beverages consumed most may not be the best place to start. Messages encouraging days off frequently consumed discretionary foods and beverages may be well received., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Mauch, Brindal and Hendrie.)

Planetary boundaries are an important sustainability concept, defining absolute limits for resource use and emissions that need to be respected to avoid major and potentially irreversible earth system change. To remain within the safe operating space for humanity, there is a need for urgent adoption of climate-neutral diets, which make no additional contribution to warming. In the first study of its kind, a new climate metric, the Global Warming Potential Star (GWP*), was used to assess greenhouse gas (GHG) emissions associated with 9341 Australian adult diets obtained from the Australian Health Survey. Dietary climate footprints averaged 3.4 kg CO 2 -equivelent per person per day, with total energy intake explaining around one quarter of the variation. Energy-dense and nutrient-poor discretionary foods contributed around one third. With lower climate footprint food choices, a diet consistent with current Australian dietary guidelines had a 42% lower climate footprint. Currently, it is not possible to define a climate-neutral dietary strategy in Australia because there are very few climate-neutral foods in the Australian food system. To bring Australian diets into line with the climate stabilization goals of the Paris Agreement, the most important need is for innovation across the agricultural and food processing industries to expand the range of climate-neutral foods available.

Globally, population dietary intakes fall below the guideline recommendations and large-scale interventions have had modest success in improving diet quality. To inform the development of more targeted approaches, this study analysed the variations in self-reported data from an online survey of Australian adults collected between 2015 and 2020, to identify common combinations of low scoring components within a dietary guideline index. A low score was defined as meeting less than half the guideline recommendations (a score <50 out of 100). Among 230,575 adults, a single component analysis showed that 79.5% had a low score for discretionary choices, 72.2% for healthy fats and 70.8% for dairy. The combinations approach showed 83.0% of individuals had two to five low scoring components, with men, younger adults aged 18-30 years and individuals with obesity (BMI ≥ 30) more likely to have five or more. The most common dietary pattern combination included low scores for discretionary choices, dairy and healthy fats. There was a considerable but systematic variation in the low scoring components within the dietary patterns, suggesting that interventions with the flexibility to address particular combinations of key food groups across subgroups could be an effective and resource efficient way to improve diet quality in the population.

Dietary habits in children may not only impact current health status but could also shape future, lifelong dietary choices. Dietary intake data in Singaporean children are limited. The current study aimed to define the overall diet quality of Singaporean children using an existing cross-sectional dataset and to consider how demographic factors (i.e., body mass index (BMI) status, ethnicity, age, and sex) were associated with these scores. Existing, cross-sectional dietary data ( n = 561 children aged 6-12 years, collected in 2014-2015) from duplicate 24-h recalls were assessed for diet quality using an index based on the Singaporean Health Promotion Board dietary guidelines. Total diet quality scores were calculated from ten different components (frequencies of rice and alternatives, whole grains, fruits, vegetables, meat and alternatives, dairy and alternatives, total fat, saturated fat, sodium intake, and added sugars). Association with demographic factors and BMI category was evaluated by one-way multivariate ANOVA (MANOVA) tests, with Bonferroni post hoc analyses. Median (interquartile range) total diet quality scores were 65.4 (57.1-73.0). Median scores for whole grains (0.0, 0.0-33.4), fruits (24.1, 0.0-65.3), vegetables (36.5, 10.4-89.8), and sodium (58.4, 0.0-100.0) intake were frequently sub-optimal. Children of Malay ethnic origin had statistically lower total diet quality scores ((55.3, 47.5-60.3) vs. other ethnic groups (combined median 65.4 (57.1, 73.0); p < 0.001). These findings highlight the need for continuing efforts to improve dietary intake in young Singaporeans and for longitudinal dietary monitoring in this group.

Aim: To assess dietary intake and nutritional adequacy amongst self-identified symptomatic wheat-avoiders., Methods: Thirty-four self-identified symptomatic avoiders of wheat-based products without a diagnosis of coeliac disease or wheat allergy were recruited to participate in a dietary assessment study. Dietary intake was assessed via a three-day weighed food record. Participants were aged 33 to 83 years, were predominantly women (n = 30) and had been avoiding wheat for a mean of six years. Nutrient intakes were compared with Nutrient Reference Values. Food group intakes were assessed and consumption of wheat-containing and wheat-free cereal-based foods described., Results: Inadequate intakes of key protective nutrients such as fibre and calcium were common; many participants reported avoiding dairy as well as wheat. Intakes of total and saturated fat exceeded recommendations. Although 85% of the sample reported avoiding all wheat products, at least one third of cereal products and dishes consumed in this group, comprising mostly discretionary-type foods, were wheat based., Conclusions: Dietary intake patterns and resulting nutrient imbalances in individuals restricting or eliminating wheat to manage symptoms are cause for concern. The situation is likely exacerbated by the tendency for many wheat avoiders to report also avoiding other foods, especially dairy products. A bi-disciplinary approach from medical practitioners and dietitians to individuals experiencing unexplained gastro-intestinal symptoms and strategies to support informed food choice is needed to combat longer-term health consequences of a diet with this nutritional profile., (© 2019 Dietitians Association of Australia.)

Parents are an ideal target to reduce children's unhealthy food intake. Motivation is one component of behavior change; however, there is a paucity of research exploring parental motivation in unhealthy food provision. This study aimed to understand the relationships between, and relative importance of, constructs of parents' reflective motivation and children's intake of unhealthy foods. An online survey captured parent-rated reflective motivation constructs based on the health action process approach (HAPA) model, and children's intake of unhealthy food using the short food survey. The HAPA model includes constructs of self-efficacy, risk perception, outcome expectancies, intention, and planning. Structural equation modelling was used to examine relationships between constructs and the HAPA model in its structural form. Four-hundred and ninety-five parents of three to seven-year olds completed the study. Model fit statistics (X 2 = 210.03, df = 83, p < 0.001; Comparative fit index (CFI) = 0.96; Tucker Lewis index (TLI) = 0.94) supported suitability of the HAPA model. The HAPA model explained 9.2% of the variance in children's unhealthy food intake. Constructs of self-efficacy (action to maintenance β = 0.69; maintenance to recovery β = 0.70; maintenance to planning β = 0.82) were found to be the most important constructs for reducing children's unhealthy food intake, followed by planning (to unhealthy food intake β = -0.32) and intention (to planning β = 0.21). This study provides an initial insight into parental motivation and identifies primary intervention targets to enhance parental motivation to reduce unhealthy food provision, and subsequently children's unhealthy food intake.

Population surveys have rarely identified dietary patterns associated with excess energy intake in relation to risk of obesity. This study uses self-reported food intake data from the validated Commonwealth Scientific and Industrial Research Organisation (CSIRO) Healthy Diet Score survey to examine whether apparent compliance with dietary guidelines varies by weight status. The sample of 185,951 Australian adults were majority female (71.8%), with 30.2%, 35.3% and 31.0% aged between 18-30, 31-50 and 51-70 years respectively. Using multinomial regression, in the adjusted model controlling for gender and age, individuals in the lowest quintile of diet quality were almost three times more likely to be obese than those in the highest quintile (OR 2.99, CI: 2.88:3.11; p < 0.001). The differential components of diet quality between normal and obese adults were fruit (difference in compliance score 12.9 points out of a possible 100, CI: 12.3:13.5; p < 0.001), discretionary foods (8.7 points, CI: 8.1:9.2; p < 0.001), and healthy fats (7.7 points, CI: 7.2:8.1; p < 0.001). Discretionary foods was the lowest scoring component across all gender and weight status groups, and are an important intervention target to improve diet quality. This study contributes to the evidence that diet quality is associated with health outcomes, including weight status, and will be useful in framing recommendations for obesity prevention and management., Competing Interests: The authors declare no conflict of interest.

Objective: To systematically review the literature and map published studies on 4-8-year-olds' intake of discretionary choices against an ecological framework (ANalysis Grid for Environments Linked to Obesity; ANGELO)., Design: Articles were identified through database searches (PubMed, PyscINFO®, Web of Science) in February and March 2014 and hand-searching reference lists. Studies were assessed for methodological quality and mapped against the ANGELO framework by environment size (macro and micro setting) and type (physical, economic, policy and socio-cultural influences)., Setting: Studies were conducted in the USA (n 18), Australia (n 6), the UK (n 3), the Netherlands (n 3), Belgium (n 1), Germany (n 1) and Turkey (n 1)., Subjects: Children aged 4-8 years, or parents/other caregivers., Results: Thirty-three studies met the review criteria (observational n 23, interventions n 10). Home was the most frequently studied setting (67 % of exposures/strategies), with the majority of these studies targeting family policy-type influences (e.g. child feeding practices, television regulation). Few studies were undertaken in government (5·5 %) or community (11 %) settings, or examined economic-type influences (0 %). Of the intervention studies only four were categorised as effective., Conclusions: The present review is novel in its focus on mapping observational and intervention studies across a range of settings. It highlights the urgent need for high-quality research to inform interventions that directly tackle the factors influencing children's excess intake of discretionary choices. Interventions that assist in optimising a range of environmental influences will enhance the impact of future public health interventions to improve child diet quality.

Objective: This study sought to determine the simultaneous effect of immediate eating environment variables; portion size, plate size, proximity to food, variety of food, side serves of salad/vegetables and presence of distraction on dietary energy intake (EI), of a reported evening meal, in the participants' real world setting., Design: A retrospective computer assisted telephone interview collected data on ten immediate eating environment variables, covariates and a 24-hour dietary recall of EI at an evening meal. Multiple regression analysis was conducted to determine relationships of these variables with EI. Significant (P<0.05) standardised beta coefficients (β) are reported., Setting: Australia wide, participants' homes., Subjects: Australian adult males and females (n 150) aged 18-65years., Results: Of the immediate eating environment variables, the absence of salads/vegetables (β=0.237), increased food variety (β=0.208), presence of music (β=0.207), and the consumption of pre-plated (as opposed to self-served) meals (β=0.195) had a positive association with EI, explaining 16.3% of the variance. Of the covariates, being male was the strongest predictor of EI (β=0.242); and hunger score also had a positive relationship with EI (β=0.190), explaining 17.5% of the variance., Conclusion: This study provides evidence that some immediate food environment variables at an evening eating occasion are associated with EI. Findings suggest there are several strategies that people could implement to assist in controlling their EI and help address over consumption., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

Objective: Early childhood settings are promising avenues to intervene to improve children's nutrition. Previous research has shown that a nutrition award scheme, Start Right - Eat Right (SRER), improves long day care centre policies, menus and eating environments. Whether this translates into improvements in children's dietary intake is unknown. The present study aimed to determine whether SRER improves children's food and nutrient intakes., Design: Pre-post cohort study., Setting: Twenty long day care centres in metropolitan Adelaide, South Australia, Australia., Subjects: Children aged 2-4 years (n 236 at baseline, n 232 at follow-up)., Methods: Dietary intake (morning tea, lunch, afternoon tea) was assessed pre- and post-SRER implementation using the plate wastage method. Centre nutrition policies, menus and environments were evaluated as measures of intervention fidelity. Comparisons between baseline and follow-up were made using t tests., Results: At follow-up, 80 % of centres were fully compliant with the SRER award criteria, indicating high scheme implementation and adoption. Intake increased for all core food groups (range: 0·2-0·4 servings/d, P<0·001) except for vegetable intake. Energy intake increased and improvements in intakes of eleven out of the nineteen nutrients evaluated were observed., Conclusions: SRER is effective in improving children's food and nutrient intakes at a critical time point when dietary habits and preferences are established and can inform future public health nutrition interventions in this setting.

Nutrition guidelines now consider the environmental impact of food choices as well as maintaining health. In Australia there is insufficient data quantifying the environmental impact of diets, limiting our ability to make evidence-based recommendations. This paper used an environmentally extended input-output model of the economy to estimate greenhouse gas emissions (GHGe) for different food sectors. These data were augmented with food intake estimates from the 1995 Australian National Nutrition Survey. The GHGe of the average Australian diet was 14.5 kg carbon dioxide equivalents (CO2e) per person per day. The recommended dietary patterns in the Australian Dietary Guidelines are nutrient rich and have the lowest GHGe (~25% lower than the average diet). Food groups that made the greatest contribution to diet-related GHGe were red meat (8.0 kg CO2e per person per day) and energy-dense, nutrient poor "non-core" foods (3.9 kg CO2e). Non-core foods accounted for 27% of the diet-related emissions. A reduction in non-core foods and consuming the recommended serves of core foods are strategies which may achieve benefits for population health and the environment. These data will enable comparisons between changes in dietary intake and GHGe over time, and provide a reference point for diets which meet population nutrient requirements and have the lowest GHGe.

Single dietary questions are used as a rapid method of monitoring diet. The aim of this investigation was to assess the performance of questions to measure population group intake compared to the mean of two 24-h recalls. Data from the Australian National Children's Nutrition and Physical Activity Survey 2007 was used (n = 4487). Children reported their intake on three questions relating to usual serves of fruit, vegetables and type of milk. Age, gender and body weight status were assessed as modifiers of the relationship between methods. There was a stepwise increase in fruit and vegetable intake (p < 0.001) measured by recall when grouped by response category of the short question. By recall, fruit consumption decreased with age (F = 12.92, p < 0.001) but this trend was not detectable from the short question (F = 2.31, p = 0.075). The difference in fruit intake between methods was greatest for obese children. Almost 85% of children who consumed whole milk by short question consumed mainly whole fat milk by recall, but agreement was lower for other milk types. Saturated fat and volume of milk was highest in whole milk consumers. Ease of administration suggests that short questions, at least for some aspects of diet, are a useful method to monitor population intakes for children.

Objective: Dairy food consumption is important for Australian children as it contributes key nutrients such as protein and Ca. The aim of the present paper is to describe dietary intake from dairy foods for Australian children aged 2-16 years in 2007., Design: Secondary analysis of a quota-sampled survey using population-weighted, 1 d (24 h) dietary recall data., Setting: Australian national survey conducted from February to August 2007., Subjects: Children (n 4487) aged 2-16 years., Results: Most Australian children consumed dairy foods (84-98 %), with the proportion consuming tending to decrease with age and males consuming significantly more than females from the age of 4 years. Milk was the most commonly consumed dairy food (58-88 %) and consumed in the greatest amount (243-384 g/d). Most children consumed regular-fat dairy products. The contribution of dairy foods to total energy intake decreased with age; from 22 % of total energy at age 2-3 years to 11 % at age 14-16 years. This trend was similar for all nutrients analysed. Dairy food intake peaked between 06.00 and 10.00 hours (typical breakfast hours) corresponding with the peak in dairy Ca intake. Australian children (older than 4 years) did not reach recommendations for dairy food intake, consuming ≤2 servings/d., Conclusions: The under-consumption of dairy foods by Australian children has important implications for intake of key nutrients and should be addressed by multiple strategies.

Objective: The present study aimed to define the complexity of the relationships between the family environment, health behaviours and obesity. A conceptual model that quantifies the relationships and interactions between parent factors, family environment, and certain aspects of children's behaviour and weight status is presented., Design: Exploratory structural equation modelling was used to quantitatively model the relationships between parent, child and family environmental factors., Setting: Adelaide, South Australia., Subjects: Families (n 157) with children aged 5-10 years completed self-reported questionnaires, providing data on parents' knowledge, diet quality and activity habits; child feeding and general parenting styles; and the food and physical activity environments. Outcome variables included children's fruit and vegetable intake, activity and sedentary habits and weight status., Results: The proposed model was an acceptable fit (normed fit index = 0·457; comparative fit index = 0·746; root-mean-squared error associated = 0·044). Parents' BMI (β = 0·32) and nutrition and physical activity knowledge (β = 0·17) had the strongest direct associations with children's BMI Z-score. Parents' dietary intake and energy expenditure behaviours were indirectly associated with children's behaviour through the creation of the home environment. The physical activity and food environments were associated with children's sedentary (β = -0·44) and activity habits (β = 0·29), and fruit and vegetable intake (β = 0·47), respectively., Conclusions: A conceptual model that quantifies the complex network of family environment factors influencing children's behaviour and weight status is presented. The model provides a basis for future research on larger representative samples with a view to guiding obesity prevention interventions.

Objective: To characterise the family activity environment in a questionnaire format, assess the questionnaire's reliability and describe its predictive ability by examining the relationships between the family activity environment and children's health behaviours - physical activity, screen time and fruit and vegetable intake., Method: This paper describes the creation of a tool, based on previously validated scales, adapted from the food domain. Data are from 106 children and their parents (Adelaide, South Australia). Factor analysis was used to characterise factors within the family activity environment. Pearson-Product Moment correlations between the family environment and child outcomes, controlling for demographic variation, were examined., Results: Three factors described the family activity environment - parental activity involvement, opportunity for role modelling and parental support for physical activity - and explained 37.6% of the variance. Controlling for demographic factors, the scale was significantly correlated with children's health behaviour - physical activity (r=0.27), screen time (r=-0.24) and fruit and vegetable intake (r=0.34)., Conclusions: The family activity environment questionnaire shows high internal consistency and moderate predictive ability. This study has built on previous research by taking a more comprehensive approach to measuring the family activity environment., Implications: This research suggests the family activity environment should be considered in family-based health promotion interventions., (© 2011 The Authors. ANZJPH © 2011 Public Health Association of Australia.)