Unpacking the cost of the lunchbox for Australian families: a secondary analysis.

Ninety per cent of Australian school children bring a home-packed lunch to school, with 44% of the food consumed during school hours being unhealthy. Among other factors, cost is a key consideration for food provision; however, the costs to Australian families are not well understood. Therefore, we aimed to determine what families are currently paying for school lunchboxes in Australian primary schools and to examine associations between food costs and socio-demographic factors with dietary quality. An audit of local retail outlets was used to determine the food costs of lunchbox contents. Costs (AUD) were adjusted for inflation as of early 2023. The lunchboxes of 1026 children aged 4-12 years at 12 Catholic primary schools in New South Wales, Australia, were assessed at the start of the day, using photography assessment methods and a validated School Food Checklist. The mean cost of lunchbox contents was $4.48 AUD (SD 1.53), containing a mean energy of 2699 kJ (SD 859), with 37.3% (SD 23.9) of energy sourced from unhealthy foods. Multiple linear regression analyses found that the strongest predictors of higher lunchbox cost (P < 0.05) were a higher proportion of energy from unhealthy foods (B = 0.016) and lower Socio-Economic Indexes for Areas (B = -0.178), when controlling for child socio-demographics. The results indicated that lunchbox food costs to Australian families are comparable to alternative school food service models in Australia and internationally. Results demonstrate the cost of food is not the only barrier to providing a healthy school lunchbox. Demonstrating a need for cost-considerate systematic interventions addressing food provision challenges and socio-economic disparities faced by families.

Understanding the influence of physical resources and social supports on primary food providers' snack food provision: a discrete choice experiment.

BACKGROUND: Snack eating occasions contribute approximately a third of children's energy intake, with approximately half of all unhealthy foods consumed during snack times. Therefore, it is critical to understand the drivers of primary food providers' snack provision. The study aims were to determine the relative importance of physical resources and social supports when primary food providers are choosing snacks to provide to their child, and to investigate how these attributes differ in social versus non-social occasions, and between subgroups of primary food providers based on socio-economic position. METHODS: Primary food providers of three to seven-year olds completed an online discrete choice experiment, by making trade-offs when completing repeated, hypothetical choice tasks on the choice of snacks to provide to their child in: 1) non-social and 2) social condition. Choice tasks included two alternatives consisting of varying attribute (i.e. factor) levels, and an opt-out option. The order of conditions shown were randomized across participants. Multinomial logit model analyses were used to determine utility weights for each attribute. RESULTS: Two-hundred and twenty-five primary food providers completed the study, providing 1125 choice decisions per condition. In the non-social condition, the top three ranked attributes were type of food (utility weight 1.94, p < 0.001), child resistance (- 1.62, p < 0.001) and co-parent support (0.99, p < 0.001). In the social condition, top ranking attributes were child resistance (utility weight - 1.50, p < 0.001), type of food (1.38, p < 0.001) and co-parent support (1.07, p < 0.001). In both conditions, time was not a significant influence and cost was of lowest relative importance. Subgroup analyses revealed cost was not a significant influence for families from higher socio-economic backgrounds. CONCLUSIONS: Type of food, child resistance and co-parent support were of greatest relative importance in primary food providers' snack provision decision-making, regardless of social condition or socio-economic position. In designing future interventions to reduce unhealthy snacks, researchers should prioritize these influences, to better support primary food providers in changing their physical and social opportunity. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry no. ACTR N12618001173280.

Dietary assessment toolkits: an overview.

OBJECTIVE: A wide variety of methods are available to assess dietary intake, each one with different strengths and weaknesses. Researchers face multiple challenges when diet and nutrition need to be accurately assessed, particularly in the selection of the most appropriate dietary assessment method for their study. The goal of the current collaborative work is to present a collection of available resources for dietary assessment implementation.Design/Setting/ParticipantsAs a follow-up to the 9th International Conference on Diet and Physical Activity Methods held in 2015, developers of dietary assessment toolkits agreed to collaborate in the preparation of the present paper, which provides an overview of each toolkit. The toolkits presented include: the Diet, Anthropometry and Physical Activity Measurement Toolkit (DAPA; UK); the National Cancer Institute's (NCI) Dietary Assessment Primer (USA); the Nutritools website (UK); the Australasian Child and Adolescent Obesity Research Network (ACAORN) method selector (Australia); and the Danone Dietary Assessment Toolkit (DanoneDAT; France). An at-a-glance summary of features and comparison of the toolkits is provided. RESULTS: The present review contains general background on dietary assessment, along with a summary of each of the included toolkits, a feature comparison table and direct links to each toolkit, all of which are freely available online. CONCLUSIONS: This overview of dietary assessment toolkits provides comprehensive information to aid users in the selection and implementation of the most appropriate dietary assessment method, or combination of methods, with the goal of collecting the highest-quality dietary data possible.

Mobile Apps to Support Healthy Family Food Provision: Systematic Assessment of Popular, Commercially Available Apps.

BACKGROUND: Modern families are facing conflicting demands on their time and resources, which may be at the detriment of child and family diet quality. Innovative nutrition interventions providing parents with behavioral support for the provision of healthy food could alleviate this issue. Mobile apps have the potential to deliver such interventions by providing practical behavioral support remotely, interactively, and in context. OBJECTIVE: This review aimed to identify and assess popular, commercially available food- and nutrition-related mobile apps that offer support for the provision of healthy family food by (1) describing app scope and characteristics, (2) assessing app quality, and (3) conducting a behavioral analysis of app content and features. METHODS: Searches in the Google Play Store and Apple App Store between August 2017 and November 2017 identified apps addressing the food provision process. Apps were included if they were applicable to parents or families, written in English, and with a user rating of ≥4 stars. Weight loss and diet monitoring apps and subscription apps with no free versions were excluded. App quality was assessed using the Mobile App Rating Scale (4 domains: engagement, functionality, aesthetics, and information). App content and features were extracted and behavior change techniques (BCTs) identified. RESULTS: Of the 2881 apps screened, 1.77% (51/2881) were included for assessment, comprising 23 recipe and recipe manager apps, 12 meal planning apps, 10 shopping list apps, 4 family organizers, and 2 food choice apps. Half (n=26) of the apps functioned primarily through user data input. Food choice and family organizer apps scored highest for app quality (mean 3.5 [SD 0.6] out of 5), whereas most apps scored well for functionality and poorly for engagement. Common app features with the potential to support healthy food provision included meal planners (n=26), shopping lists (n=44), and the ability to share app content (n=48). Behavioral support features mapped to relatively few BCTs (mean 3.9 [SD 1.9] per app), with Adding objects to the environment present in all apps, and 65% (33/51) including Instruction on how to perform the behavior. CONCLUSIONS: Recipe and recipe manager apps, meal planning apps, and family organizers with integrated meal planning and shopping lists scored well for functionality and incorporated behavioral support features that could be used to address barriers to healthy food provision, although features were focused on planning behaviors. Future apps should combine a range of features such as meal planners, shopping lists, simple recipes, reminders and prompts, and food ordering to reduce the burden of the food provision pathway and incorporate a range of BCTs to maximize behavior change potential. Researchers and developers should consider features and content that improve the engagement quality of such apps.

Adjustment Factors Can Improve Estimates of Food Group Intake Assessed Using a Short Dietary Assessment Instrument.

BACKGROUND: Methods to address misreporting associated with short dietary assessment instruments are needed. OBJECTIVE: Our objective was to develop and evaluate the direct and indirect validity of adjustment factors applied to a short dietary assessment instrument to improve estimates of usual consumption of core and discretionary food and beverage intake. DESIGN: Validation of the Short Food Survey relative to 24-hour recalls was performed. The Short Food Survey requires individuals to report their usual intake of fruit, vegetables, grains, meat, dairy, and discretionary choices in multiples of standard servings. Adjustment factors were developed based on a ratio (usual portion size estimated from national data to standard serving size). The estimates of food group intakes (unadjusted and adjusted) were compared to 24-hour recalls. PARTICIPANTS/SETTING: Three population samples were used in this study. The direct validation used data from 61 Australian adults (collected 2013-2014). The indirect validation compared data from the 2011-2013 Australian National Nutrition and Physical Activity Survey (n=9,435) to a sample of 145,975 who completed the Short Food Survey in a format that is freely available online (2015-2016). MAIN OUTCOME MEASURES: Food group intake (in servings) was measured. STATISTICAL ANALYSES PERFORMED: Descriptive and inferential statistical analyses were conducted. RESULTS: Direct validation showed the adjustment factors improved the survey-derived estimates of intake for all food groups except grain foods. For grains, the mean difference went from -0.6 servings to +1.2 to 1.5 servings. The absolute difference in food group intake between the adjusted Short Food Survey and recalls remained statistically significant for fruit, meat, dairy, and grains, but was not different for vegetables and discretionary foods. The indirect validation showed that the adjusted estimates of intake from the online Short Food Survey were closer to the population estimates reported by 24-hour recall for all food groups except meat. CONCLUSIONS: Adjustment factors can improve estimates of food group intake assessed using a short dietary assessment instrument for some but not all food groups.

Reducing discretionary food and beverage intake in early childhood: a systematic review within an ecological framework.

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.

A short food-group-based dietary questionnaire is reliable and valid for assessing toddlers' dietary risk in relatively advantaged samples.

Identifying toddlers at dietary risk is crucial for determining who requires intervention to improve dietary patterns and reduce health consequences. The objectives of the present study were to develop a simple tool that assesses toddlers' dietary risk and investigate its reliability and validity. The nineteen-item Toddler Dietary Questionnaire (TDQ) is informed by dietary patterns observed in Australian children aged 14 (n 552) and 24 (n 493) months and the Australian dietary guidelines. It assesses the intake of 'core' food groups (e.g. fruit, vegetables and dairy products) and 'non-core' food groups (e.g. high-fat, high-sugar and/or high-salt foods and sweetened beverages) over the previous 7 d, which is then scored against a dietary risk criterion (0-100; higher score = higher risk). Parents of toddlers aged 12-36 months (Socio-Economic Index for Areas decile range 5-9) were asked to complete the TDQ for their child (n 111) on two occasions, 3·2 (SD 1·8) weeks apart, to assess test-retest reliability. They were also asked to complete a validated FFQ from which the risk score was calculated and compared with the TDQ-derived risk score (relative validity). Mean scores were highly correlated and not significantly different for reliability (intra-class correlation = 0·90, TDQ1 30·2 (SD 8·6) v. TDQ2 30·9 (SD 8·9); P= 0·14) and validity (r 0·83, average TDQ ((TDQ1+TDQ2)/2) 30·5 (SD 8·4) v. FFQ 31·4 (SD 8·1); P= 0·05). All the participants were classified into the same (reliability 75 %; validity 79 %) or adjacent (reliability 25 %; validity 21 %) risk category (low (0-24), moderate (25-49), high (50-74) and very high (75-100)). Overall, the TDQ is a valid and reliable screening tool for identifying at-risk toddlers in relatively advantaged samples.

Diet spanning infancy and toddlerhood is associated with child blood pressure at age 7.5 y.

BACKGROUND: Diet in the first 2 y of life may be a pivotal period regarding effects on future blood pressure (BP). However, data on early-life diet and BP in childhood are sparse. OBJECTIVE: We prospectively assessed associations between types of diet spanning infancy and toddlerhood (ie, transition diets across the complementary feeding period) and BP at age 7.5 y. DESIGN: In a birth cohort study (Avon Longitudinal Study of Parents and Children; United Kingdom), a total of 1229 children had complete dietary intake data at 6, 15, and 24 mo; BP data at 7.5 y of age; and all 18 covariables. RESULTS: Of the 2 transition diets that were extracted by using principal components analysis, the less-healthy diet was associated with an increase in systolic BP of 0.62 mm Hg (95% CI: 0.00, 1.24 mm Hg) and an increase in diastolic BP of 0.55 mm Hg (95% CI: 0.10, 1.00 mm Hg) for every one-unit (SD) increase in the less-healthy-diet score after adjustment for 15 potential confounders, including maternal characteristics and sociodemographic factors, birth variables, and breastfeeding duration. In contrast with systolic BP, the positive association between the less-healthy transition-diet score and diastolic BP persisted after additional adjustment for child body-size factors [height, body mass index (BMI), and waist circumference] at 7.5 y. CONCLUSIONS: A less-healthy transition diet by age 2 y was associated with higher BP at 7.5 y. The BMI-related reduction in effect size reinforces the importance of BMI on the diet-BP relation.

Characterization of transition diets spanning infancy and toddlerhood: a novel, multiple-time-point application of principal components analysis.

BACKGROUND: The portrayal of diet over time is a natural progression from the characterization of diet at single time points. The transition dietary period, a dynamic period of rapid dietary change spanning infancy and toddlerhood when children shift from a milk-based to a food-based diet, has not been characterized. OBJECTIVE: The objective was to summarize variation in dietary intakes spanning infancy and toddlerhood. DESIGN: A prospective principal components analysis was applied to dietary intakes from 3 successive follow-ups of children enrolled in the ALSPAC (Avon Longitudinal Study of Parents and Children). The frequency of food and beverage consumption was assessed via questionnaire at ages 6, 15, and 24 mo (n = 2169). RESULTS: Two types of transition diet were identified. The first transition diet was characterized by the consumption of home-prepared and raw foods ("healthy") at all time points and the second by ready-prepared and discretionary foods ("less healthy") consistently over time. Higher educational level and maternal age were associated with higher scores on the "healthy" diet, whereas younger maternal age and a lower educational level were associated with higher scores on the "less healthy" diet. Maternal BMI, number of older siblings, and lower social class were associated with the less-healthy transition diet but not with the healthy transition diet. CONCLUSIONS: Unique transition diets, including a less-healthy type, emerge by age 2 y. These diets are consistent with childhood and adult dietary patterns reported at single time points and show convergent validity both with known maternal sociodemographic predictors of childhood diet and with intake gradients across diet scores.

Characterizing whole diets of young children from developed countries and the association between diet and health: a systematic review.

Early childhood is an important nutritional period that involves the transition from a milk-based diet to ordinary foods. A systematic review was conducted of studies that applied whole-of-diet analysis of children aged 1-5 years to examine associations between diet and nutrition, health, and development. Literature searches identified 40 articles using dietary indices, principal component analysis, or cluster analysis. Reports that applied indices (n = 23, 18 indices) were cross-sectional, and most measured diet quality or variety. Articles reporting principal component or cluster analyses (n =17) described between two and six dietary patterns, and most identified healthy, unhealthy, and traditional patterns. In cross-sectional analyses, mixed associations were found between index or pattern scores and nutrient intake (n = 10), nutritional biomarkers (n = 1), and anthropometry (n = 10). Five reports from two birth cohorts showed healthier dietary patterns were associated with better lean mass, cognition, and behavior, but not with bone mass or body mass index at later ages. Few studies have characterized the diets of children under 5 years of age and linked diet with health. Given the limited evidence, research establishing the predictive validity of whole-of-diet methods in childhood is needed.

Scores on the dietary guideline index for children and adolescents are associated with nutrient intake and socio-economic position but not adiposity.

Diet quality indices reflect overall dietary patterns better than single nutrients or food groups. The study aims were to develop a measure of adherence with dietary guidelines applicable to child and adolescent populations in Australia and determine the association between index scores and food and nutrient intake, socio-demographic characteristics, and measures of adiposity. Data were analyzed from 4- to 16-y-old participants of the 2007 Australian Children's Nutrition and Physical Activity Survey (n = 3416). The Dietary Guideline Index for Children and Adolescents (DGI-CA) comprises 11 components: 5 core food groups, wholegrain bread, reduced-fat dairy foods, extra foods (nutrient poor and high in fat, salt, and added sugar), healthy fats/oils, water, and diet variety (possible score of 100). The index criteria were age specific. The mean DGI-CA score was low (53.6 ± 0.4), similar between boys and girls, and differed by age; the youngest children scored higher than the oldest children (P < 0.0001). Higher DGI-CA scores were associated with lower energy intake, energy density, total and saturated fat, and sugar intake; higher protein, carbohydrate, fiber, calcium, iron, vitamin C, vitamin A, folate, phosphorous, magnesium, zinc, and iodine intakes; and a higher polyunsaturated:saturated fat ratio (P < 0.0001). DGI-CA scores were associated with socio-economic characteristics and measures of family circumstance. Weak positive associations were observed between DGI-CA score and BMI or waist circumference Z-scores in the 4- to 10-y and 12- to 16-y age groups only. This index is the first validated index in Australia and one of the few international indices to describe the diet quality of children and adolescents.

Randomised controlled trials in overweight children: practicalities and realities.

AIM: To highlight and discuss the practical aspects of conducting high quality, randomised controlled trials (RCTs) with overweight and obese children and their families. CONTENT: Realistic considerations and suggestions for researchers arising from the experiences of three Australian interventions in overweight/obese children are highlighted. The practical implications of key issues arising during this type of RCT include study design, obtaining ethical approval, choice of outcome measures, recruitment, working with families, impact and process evaluation, retention strategies, managing multi-site trials and data management. CONCLUSION: Interventions for overweight children and their families are challenging. Although there were some differences in the design and outcome measures among the three studies, there were many similarities. Multi-site trials, although more expensive than single-site trials, are advantageous in increasing sample size and external validity. Collectively we have developed strategies to address key problems in conducting RCTs, including the common challenges of recruitment, retention and working with families.