Consumption Of Discretionary Foods Research Articles

Australians' willingness to change their discretionary food intake: findings from the CSIRO junk food analyser.

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. 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. 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. 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.

The Health4Life e-health intervention for modifying lifestyle risk behaviours of adolescents: secondary outcomes of a cluster randomised controlled trial.

To investigate the effectiveness of a school-based multiple health behaviour change e-health intervention for modifying risk factors for chronic disease (secondary outcomes). Cluster randomised controlled trial. Students (at baseline [2019]: year 7, 11-14 years old) at 71 Australian public, independent, and Catholic schools. Health4Life: an e-health school-based multiple health behaviour change intervention for reducing increases in the six major behavioural risk factors for chronic disease: physical inactivity, poor diet, excessive recreational screen time, poor sleep, and use of alcohol and tobacco. It comprises six online video modules during health education class and a smartphone app. Comparison of Health4Life and usual health education with respect to their impact on changes in twelve secondary outcomes related to the six behavioural risk factors, assessed in surveys at baseline, immediately after the intervention, and 12 and 24 months after the intervention: binge drinking, discretionary food consumption risk, inadequate fruit and vegetable intake, difficulty falling asleep, and light physical activity frequency (categorical); tobacco smoking frequency, alcohol drinking frequency, alcohol-related harm, daytime sleepiness, and time spent watching television and using electronic devices (continuous). A total of 6640 year 7 students completed the baseline survey (Health4Life: 3610; control: 3030); 6454 (97.2%) completed at least one follow-up survey, 5698 (85.8%) two or more follow-up surveys. Health4Life was not statistically more effective than usual school health education for influencing changes in any of the twelve outcomes over 24 months; for example: fruit intake inadequate: odds ratio [OR], 1.08 (95% confidence interval [CI], 0.57-2.05); vegetable intake inadequate: OR, 0.97 (95% CI, 0.64-1.47); increased light physical activity: OR, 1.00 (95% CI, 0.72-1.38); tobacco use frequency: relative difference, 0.03 (95% CI, -0.58 to 0.64) days per 30 days; alcohol use frequency: relative difference, -0.34 (95% CI, -1.16 to 0.49) days per 30 days; device use time: relative difference, -0.07 (95% CI, -0.29 to 0.16) hours per day. Health4Life was not more effective than usual school year 7 health education for modifying adolescent risk factors for chronic disease. Future e-health multiple health behaviour change intervention research should examine the timing and length of the intervention, as well as increasing the number of engagement strategies (eg, goal setting) during the intervention. Australian New Zealand Clinical Trials Registry: ACTRN12619000431123 (prospective).

Does adiposity influence the relationship between diet quality and bodily pain in Australia adults?

Chronic pain affects 20-30% of people worldwide(1). While the impact of nutrition and dietary patterns on bodily pain has gained attention in recent years, the underlying linking mechanisms remain poorly understood; it is possible that body weight, specifically adiposity, may be a mediating factor(2). Thus, the primary aim of this study was to explore whether adiposity mediates the relationship between diet quality and bodily pain. This cross-sectional analysis included 654 adults (57% women, mean age 50.4 ± 1.1 years, BMI 29.0 ± 6.2 kg/m2) with complete diet, adiposity, and pain measures from the Whyalla Intergenerational Study of Health (2008-09). Diet quality was calculated using the Dietary Guideline Index (DGI total score, core and non-core scores)(3), and pain assessed via the Short Form-36 bodily pain scale (SF36-BPS) transformed percent score. Adiposity was determined from body mass index (BMI), waist circumference (WC), and body fat percent (BF, via dual energy x-ray absorptiometry). Mediation analyses determined the role of adiposity in the direct and indirect relationships between diet quality and pain in the whole population, then stratified by sex (self-report). There were no significant indirect or direct effects between DGI total scores and SF36-BPS, for any measure of adiposity. Direct effects were observed for DGI core-food scores on SF36-BPS for each measure of adiposity (BMI, β = 0.258, 95% CI 0.048, 0.467; WC β = 0.246, 95% CI 0.037, 0.455; BF β = 0.247, 95% CI 0.040, 0.454; all p<0.05). Each measure of adiposity accounted for <10% of the relationship between diet quality and pain, with a better-quality diet associated with less bodily pain (higher SF36-BPS). Relationships differed by sex; with no direct or indirect effects seen between DGI scores and SF36-BPS for men while, in women, there was non-mediation with direct positive effects between DGI total score and SF36-BPS for each measure of adiposity (BMI, β = 0.362, 95% CI 0.132, 0.591; WC β = 0.345, 95% CI 0.116, 0.574; BF β = 0.357, 95% CI 0.130, 0.584; all p<0.05). Also in women, body fat mediated 85% of the relationship between DGI non-core scores on bodily pain (indirect effect β=-0.242, 95% CI −0.358, −0.126, p <0.05). While adiposity did not mediate the relationship between diet quality and pain, this study highlights that diet quality plays a role in the pain experience with higher consumption of core foods showing direct associations with lower levels of bodily pain. Moreover, sex differences were observed, with less bodily pain in women associated with higher overall diet quality. Interestingly, body fat drove the relationship between higher pain scores and greater consumption of non-core foods (discretionary), but body fat alone was associated with consumption of fewer discretionary foods. This anomaly requires further investigation.

Visual communication design: a neglected factor in nutrition promotion via packaged food labels.

Packaging design is a communication device and a critical component in branding strategy, and has relevance for food policy. Presently, packaging-related nutrition policy initiatives focus on the role of regulated claims, nutrition information panels and front-of-pack nutrition labels to help guide consumer food choices and address high prevalences of discretionary and ultra-processed food consumption in many countries. However, these nutrition labelling systems are not optimized as public health policy tools as many consumers do not use them to inform their food choices. Visual communication design theory posits that a designer orders the elements and principles of design into hierarchies that prioritize certain elements over others, and that some of these elements are more dominant and given more emphasis than others. The overall design of the package thereby directs consumer attention to some aspects of pack design (e.g., characters, contents of the package) and away from others (e.g., nutrition details). Dual processing frameworks propose that food decisions are made with the interplay between automatic and rational thinking processes. Packaging designs affect whether consumers rely predominantly on automatic or rational thinking to select a food. This narrative review outlines the role of food packaging design and how it impacts the clear communication of nutrition aspects of food products and how the use of nutrition information by consumers to make decisions may depend upon design structures in packaging. This article attests that nutrition scientists and policy makers should incorporate visual communication design into research on the food packaging as a public health promotion tool. A stronger focus on the communication of regulated front-of-pack nutrition information can be made with a re-evaluation of the hierarchy of elements in the front-of-pack design enabling consumers to make healthier decisions.

Discretionary foods and drinks in Norwegian children and adolescents' diet: data from the national dietary survey Ungkost 3.

This study aimed to identify the amount of discretionary foods and drinks consumed by Norwegian children and adolescents, describe how such products contribute to the intake of total energy and nutrients, and study the distribution in intake of discretionary foods and drinks across different meals. Secondly, the aim was to explore factors associated with those children and adolescents having the highest consumption of discretionary foods and drinks. Secondary analysis of data from a national survey of dietary intake among Norwegian children and adolescents. Schools in fifty randomly selected municipalities in Norway. The study population included 636 pupils in 4th grade (9-11 years) and 687 pupils in 8th grade (12-14 years). Discretionary foods and drinks contributed to about 20 % of the children and adolescents' total energy intake. These products contributed to about two-thirds of the participants' intake of added sugar, and limited amounts of dietary fibre, vitamins and minerals. The quartile which had the lowest proportion of their energy intake from discretionary foods and drinks seemed to have a higher intake of whole grains, and fish and seafood. Almost all 4th and 8th graders in Norway consumed discretionary foods and drinks, and these products contributed to a substantial proportion of the total energy intake and limited amounts of nutrients. Those children and adolescents consuming the least discretionary foods and drinks had a higher intake of whole grains, fish and seafood, indicating healthier and more sustainable food habits.

Predicting discretionary food consumption using temporal self-regulation theory and food reward sensitivity

Discretionary foods account for over a third of the average adult's total daily energy intake. But its excess consumption is a risk factor for obesity, Type 2 diabetes, and other diet-related diseases. This study aimed to use temporal self-regulation theory (intention, past behaviour, habit, self-regulatory capacity) and food reward sensitivity to identify predictors of discretionary food consumption. Two hundred and seventy-three participants aged between 18 and 80 (M = 42.55, SD = 17.07) comprising of mostly females (79.5%) and those residing in Australia (93.4%), completed a two-part online survey, one week apart. Participants completed measures of intention, past behaviour, habit, self-regulatory capacity, food reward sensitivity and demographic information at time one, and discretionary food consumption at time two. Data was analysed using a hierarchical multiple regression analysis. All variables in combination accounted for a significant 40.3% of the variance in discretionary food consumption (R2 = 0.40, p < .001). However, past behaviour and intention were the only unique significant predictors of discretionary food consumption. No significant moderation effects found. Findings offer insight into the motivators of discretionary food consumption, which can inform the development of effective interventions to reduce discretionary food consumption. Past behaviour should be considered, and intention targeted in interventions to reduce discretionary food consumption.

Instabrand courtside: a content analysis of marketing strategies by food and beverage brands during the 2021 Australian Open tennis tournament

Objective. To examine the marketing techniques food and beverage brands use on Instagram, as part of their sport sponsorship strategy. Methods. We conducted a qualitative content analysis of 31 Instagram accounts during the 2021 Australian Open tennis tournament. Branded food and beverage posts with tennis‐linked content were coded based on an initial screening and previously published frameworks. Results. Of the 152 included posts, 92% were made by food and beverage companies that were official ‘partners’ of the Australian Open. Products in posts were mostly discretionary foods and alcohol. The most frequently used strategies were ‘Engagement’ (89%) and ‘Branding’ (80%) and nearly half (45%) of alcohol posts invited direct consumption of their product. Conclusions. The powerful combination of sport and social media are utilised by brands to interact and build relationship with consumers while promoting the consumption of alcohol and discretionary foods – products which impede rather than promote health. The indirect marketing techniques favoured by brands make this form of advertising difficult to identify and control. Implications for public health. These results highlight the need for counter‐marketing, policy and regulatory actions to remove unhealthy food and alcohol from sport and reorient sponsorship of sporting events towards products that promote health.

Changes in the food and drink consumption patterns of Australian women during the COVID‐19 pandemic

ObjectiveThis paper uses data from the seventh fortnightly Coronavirus (COVID‐19) Survey sent to women in the Australian Longitudinal Study on Women's Health to investigate the relationship between the COVID‐19 pandemic and the food and drink consumption of women born in 1946‐51, 1973‐78 and 1989‐95. MethodsA survey about changes in fruit, vegetable, discretionary food, takeaway and sugary drink consumption during the pandemic was emailed on 22 July 2020 to 28,709 women in three cohorts of the Australian Longitudinal Study on Women's Health. Thematic qualitative analysis was conducted on comments about changes in consumption, and basic quantitative analysis was included for context. ResultsThere were significant associations between age and all categories of food and drink consumption. Women wrote of lifestyle changes and choices during lockdowns, comfort and emotional eating, and access to food and drink changing their consumption behaviours. ConclusionsThe COVID‐19 pandemic and interventions had both positive and negative impacts on the food and drink consumption behaviours of Australian women. Implications for public healthThese findings can be used to directly influence practice around healthy food and drink consumption, highlighting enablers, including being at home, and barriers, including mental health, that should be considered.

Cost-effectiveness of LiveLighter® - a mass media public education campaign for obesity prevention.

BackgroundThe Western Australian LiveLighter® program has implemented a series of mass media advertising campaigns that aim to encourage adults to achieve and maintain a healthy weight through healthy behaviours. This study aimed to assess the cost-effectiveness of the LiveLighter® campaign in preventing obesity-related ill health in the Western Australian population from the health sector perspective.MethodsCampaign effectiveness (delivered over 12 months) was estimated from a meta-analysis of two cohort studies that surveyed a representative sample of the Western Australian population aged 25–49 years on discretionary food consumption one month pre- and one month post-campaign. Campaign costs were derived from campaign invoices and interviews with campaign staff. Long-term health (measured in health-adjusted life years (HALYs)) and healthcare cost-savings resulting from reduced obesity-related diseases were modelled over the lifetime of the population using a validated multi-state lifetable Markov model (ACE-Obesity Policy model). All cost and health outcomes were discounted at 7% and presented in 2017 values. Uncertainty analyses were undertaken using Monte-Carlo simulations.ResultsThe 12-month intervention was estimated to cost approximately A$2.46 million (M) (95% uncertainty interval (UI): 2.26M; 2.67M). The meta-analysis indicated post-campaign weekly reduction in sugary drinks consumption of 0.78 serves (95% UI: 0.57; 1.0) and sweet food of 0.28 serves (95% UI: 0.07; 0.48), which was modelled to result in average weight reduction of 0.58 kilograms (95%UI: 0.31; 0.92), 204 HALYs gained (95%UI: 103; 334), and healthcare cost-savings of A$3.17M (95%UI: A$1.66M; A$5.03M). The mean incremental cost-effectiveness ratio showed that LiveLighter® was dominant (cost-saving and health promoting; 95%UI: dominant; A$7 703 per HALY gained). The intervention remained cost-effective in all sensitivity analyses conducted.ConclusionThe LiveLighter® campaign is likely to represent very good value-for-money as an obesity prevention intervention in Western Australia and should be included as part of an evidence-based obesity prevention strategy.

Mealtime TV Use Is Associated with Higher Discretionary Food Intakes in Young Australian Children: A Two-Year Prospective Study.

Background: Mealtime television use has been cross-sectionally associated with suboptimal diets in children. This study aimed to assess the two-year prospective association between baseline mealtime television use and subsequent diets in young children, and identify socioeconomic differences. Methods: Parents reported their child’s television use at meals, and fruit, vegetable, and discretionary food intakes. Multivariable linear and logistic regression analyses assessed the association between baseline mealtime television use and follow-up diet outcomes. Differences were assessed by socioeconomic position. Results: Participants were 352 Australian parents of children aged six months to six years. Daily mealtime television use (average frequency/day) was associated with higher daily frequency of discretionary food intakes (β 0.2, 95% confidence interval (CI) 0.07–0.67) at the 2-year follow-up. Individually, television use during breakfast and dinner (1–2 days/week compared to never) predicted higher daily intake frequency of discretionary food, β 0.36 (95% CI 0.12–0.60) and β 0.19 (95% CI 0.00–0.39), respectively. Similarly, 3–7 days/week of television use during breakfast and lunch predicted higher frequency of discretionary food intake, β 0.18 (95% CI 0.02–0.37) and β 0.31 (95% CI 0.07–0.55), respectively. Associations were not socioeconomically patterned. Conclusions: Investigating mealtime television use motivators across the socioeconomic spectrum could inform interventions targeting the high consumption of discretionary foods in children.

Patterns of discretionary food intake among Australian children and their association with socio-demographic, lifestyle, and adiposity measures.

Australian children consume 35% of energy from discretionary food and beverages which increases their risk of non-communicable diseases like type 2 diabetes. Despite this concerning statistic, broad analysis of the profile of discretionary food intake has not been fully undertaken. This study asks: what is the discretionary food and beverage intake profile, contribution to nutrient intakes, and associations with demographic and health characteristics? Cross-sectional data from the 2011-12 National Nutrition and Physical Activity Survey (n= 2812, 2-18 years) were used to profile discretionary food consumption. Dietary intake was assessed by 24-h recall. General linear models tested the difference in respondent characteristics by age group, sex, and quartiles of discretionary food energy contribution. Ninety-nine percent of respondents consumed discretionary foods, 74% exceeded the maximum discretionary food recommended serves. Among 10 eating occasions available to select: snack, dinner, lunch and morning tea appeared to contribute 76% of discretionary food energy, with snack and dinner contributing 24% each. Age and frequency of discretionary food consumption were positively associated with energy intake from discretionary foods (p< 0.001); while sex, socio-economic status, physical activity and body composition had no association. High discretionary food consumers chose specific discretionary food items in a large quantity (1.0-3.5-serves/discretionary food) compared to low discretionary food consumers (0.4-1.4-serves/discretionary food). Nearly all Australian children and adolescents consumed discretionary food daily. No demographic or anthropometric characteristics beyond increasing age were associated with higher discretionary food. Targeted public health policy and community interventions are required to focus on addressing the largest contributors to discretionary food intake in terms of equivalent serve sizes, popularity, and eating occasion.

Lifestyle risk behaviours among adolescents: a two-year longitudinal study of the impact of the COVID-19 pandemic

ObjectiveTo examine changes in the prevalence of six key chronic disease risk factors (the “Big 6”), from before (2019) to during (2021) the COVID-19 pandemic, among a large and geographically...

Regulated nutrition claims increase perceived healthiness of an ultra-processed, discretionary toddler snack food and ultra-processed toddler milks: A discrete choice experiment

There has been a prolonged increase in the sale and consumption of ultra-processed, discretionary foods and ultra-processed milks for toddlers, which display numerous on-pack claims that influence health perceptions. This study investigated the relative impact of different regulated and unregulated claims on parent perceptions of the healthiness of a toddler snack food and milk in Australia. Participants aged 18+ years completed an online survey, including discrete choice experiments for an ultra-processed, discretionary toddler snack food and an ultra-processed toddler milk, which displayed combinations of claims across nutrition, health, and other domains. Participants were asked to choose the ‘most and least healthy’ products between three alternatives over seven choice sets. Data were analysed using an ordinal logistic regression model. Likelihood-ratio tests revealed the most important contribution was variation in regulated nutrition-content claims. For the toddler snack, participants were nearly 14 times more likely to perceive a product with the regulated nutrition-content claim “no added sugar, no added salt” as most healthy (OR 13.71, p < 0.001), compared to when no regulated nutrition-content claim was present. For the toddler milk, participants were more than two and a half times more likely to choose a product that contained the regulated nutrition-content claim “2 serves = up to 50% of RDI recommended dietary intake of 14 vitamins and minerals” as most healthy (OR 2.65, p < 0.001) compared to when no regulated nutrition-content claim was present. In Australia, regulated nutrition-content claims can be displayed on packaged foods regardless of healthiness. These results indicate that such claims increase perceptions of healthiness of ultra-processed, discretionary toddler snack foods and ultra-processed toddler milks. Further controls are required to regulate the use of nutrition-content and health claims to facilitate informed consumer choice.

Comparison of Discretionary Food and Drink Intake Based on a Short Web-Based Sugar-Rich Food Screener and a Validated Web-Based 7-Day Dietary Record.

A high consumption of discretionary foods and drinks has been associated with increased risk of multiple adverse health outcomes, including risk of overweight and dental caries. The family-based cluster randomized intervention study “Are you too sweet?” aimed at reducing the intake of discretionary foods and drinks in a population of children starting pre-school. As part of the intervention a new short web-based sugar-rich food screener (SRFS), was developed to make the parents and the school health nurses aware of the children’s intake of discretionary foods and drinks. In addition to the short assessment tool the parents also completed a validated web-based 7-day dietary record for the children. In the present study, estimates for intake of discretionary foods and drinks from the two assessment tools were compared (n = 80). There was significant correlation between estimates from the two assessment tools, but the SRFS provided lower estimates for intake of discretionary foods and drinks compared to the 7-day dietary record. The correlation coefficient between the two assessment tools was 0.49 (p < 0.001) and Kappa coefficient was 0.33. It is concluded that the SRFS can provide a fairly ranking of participants according to their intake of discretionary foods and drinks when compared to a validated 7-day dietary record. The screener may be a useful tool in practical settings, such as school health nurse consultations, in order to gain insight into the child’s sweet intake habits.

A Rapid Review of the Environmental Impacts Associated with Food Consumption in Australia and New Zealand.

The 2013 Australian Dietary Guidelines (ADG) have been criticised for making only brief reference to sustainability considerations. With the ADG currently under review, the purpose of this rapid review was to determine the environmental impacts associated with food consumption in Australia and New Zealand. Of the 20 articles included, greenhouse gas emissions (GHGe) were the most common environmental indicator (n = 12), followed by water use and water footprint (n = 7), and carbon footprint (n = 3). Whilst there are commonalities between different environmental indicators such as the large impact of discretionary food consumption on GHGe, cropland scarcity footprint, and water scarcity footprint, there is wide variation in these indicators for other food groups. Furthermore, modelling of current food consumption data to the recommended diet does not necessarily result in improvement of all indicators. The next iteration of the ADG should promote consumption of foods and dietary patterns that are associated with positive health and environmental outcomes.

Consumption of avocado and associations with nutrient, food and anthropometric measures in a representative survey of Australians: a secondary analysis of the 2011-2012 National Nutrition and Physical Activity Survey.

Avocados are a rich source of nutrients including monounsaturated fats, dietary fibre, potassium and Mg, as well as phytochemicals. However, no epidemiological analysis for the associations between avocado consumption and participant anthropometric measures has been conducted in Australia. The present study aimed to perform a secondary analysis of the 2011-2012 National Nutrition and Physical Activity Survey (NNPAS) to quantify avocado consumption in the Australian population and explore the associations between avocado intakes, consumption of nutrients and food groups based on the Australian Dietary Guidelines and anthropometric measurements. Usual avocado consumption in the 2011-2012, NNPAS was determined using the multiple source method regression model. The relationship between avocado consumption and intakes of key nutrients and food groups and participant weight, BMI and waist circumference were examined using linear regression. Mean avocado intake was 2·56 (95 % CI: 2·37, 2·75) grams per day with 15·9 % of Australians considered to be 'avocado consumers' (n 21526456 population size; n 12153 observations). Greater consumption (g) of avocados was associated with significantly higher consumption of monounsaturated fats, polyunsaturated fats, dietary fibre, vitamin E, Mg and potassium, as well as 'whole grains', 'vegetables', 'fruit' and 'meat and alternatives' food groups. Greater consumption (g) of avocados was associated with significantly lower consumption of carbohydrates and discretionary foods. When adjusted for covariates, greater consumption of avocados was significantly associated with a lower body weight (P = 0·034), BMI (P < 0·001) and waist circumference (P < 0·001). Avocados may be incorporated into an eating pattern and may be beneficial in weight management.

436Food addiction, mental health and substance-use during a transition period: Data from 6,700 Australian 12/13-year-olds

Abstract Background Early adolescence is a challenging transition period where mental ill-health and experimentation with alcohol and tobacco often increases. Some foods and eating behaviours can be addictive in a way that is comparable to addictive substances. Few studies have examined the prevalence of food addiction in young people, and none have measured it with mental ill-health and substance-use. Methods 6,700 Year 7 students across NSW, WA and QLD completed the baseline questionnaire for “Health4Life” (Mage=12.7±0.5, 49%F). The prevalence of, and associations between, food addiction (YFAS-C), anxiety (PROMIS-A), depression (PHQ-A), psychological distress (K6), discretionary food/drink intake (SPANS) and alcohol and tobacco use were examined. Results Respondents who met diagnostic criteria for food addiction (5.2%, n = 272) were significantly more likely to screen positively for anxiety (X23=315.4, P &amp;lt; 0.001), probable major depression (X21=299.9, P &amp;lt; 0.001) and psychological distress at levels of serious mental illness (X21=238.885, P &amp;lt; 0.001). They were also significantly more likely to have consumed a full standard drink and smoked tobacco in the past 6-months (X21=53.8, P &amp;lt; 0.001 and X21=29.7, P &amp;lt; 0.001, respectively) and to consume high amounts of sugar-sweetened beverages (X21=15.2, P &amp;lt; 0.001), discretionary foods (X22=26.4, P &amp;lt; 0.001) and energy drinks (X25=28.4, P &amp;lt; 0.001). Relative risks ranged 1.29-4.35. Conclusions Findings suggest a strong link between food addiction, substance use, discretionary food and drink consumption and mental ill-health in early adolescence. Further analysis will model multivariable relationships whilst controlling for affluence, BMI and gender. Key messages Links between food addiction, substance use and mental ill-health are found in the largest sample of adolescents screened for these variables worldwide.

The impact of maternal post-partum depressive symptoms on child diet at 18 months.

Post‐partum depression (PPD) is a serious mental health problem, which can impair maternal behaviours and adversely affect the cognitive, emotional and behavioural development of children. This study aims to explore the impact of maternal depressive symptoms at 3 months post‐partum (baseline) on child diet at 18 months of age (follow‐up). This study used longitudinal data from 263 first‐time mothers from the Melbourne Infant Feeding, Activity and Nutrition Trial (InFANT) Extend. Women self‐reported depressive symptoms (10‐item Center for Epidemiological Studies Depression Scale [CES‐D]) and child diet (fruits, vegetables and discretionary foods). Multiple linear regression analyses were used to explore the relationship between maternal depressive symptoms at baseline and child fruit and vegetable intake and discretionary food intake (g day−1) at follow‐up. Baseline maternal depressive symptoms were associated with higher childhood consumption of discretionary foods at 18 months of age (β = 0.45, 95% confidence interval [CI] 0.03 to 0.87, P = 0.034 [adjusted]). There was no evidence of association for maternal depressive symptoms and child intake of fruits and vegetables. Further longitudinal studies are warranted to confirm these findings, with the hope of translating this knowledge into optimal clinic care and improved physical and mental health for mother and child.

Dietary Intake and Anthropometric Measurement at Age 36 Months Among Aboriginal and/or Torres Strait Islander Children in Australia

Interventions to reduce early childhood caries should be examined for their effects on anthropometry given their design to improve children's diets. To compare the outcomes of dietary intake, anthropometric measurements, and blood pressure measurements between children at age 36 months in the immediate intervention group vs those in the delayed intervention group. This secondary analysis was a follow-up to the 2-group Baby Teeth Talk randomized clinical trial conducted across the state of South Australia, Australia. Participants were Aboriginal and/or Torres Strait Islander children and their caregivers who were randomized to the immediate intervention group or delayed intervention group. The intervention was provided from February 1, 2011, to May 31, 2012. The prespecified follow-up when the participating children were aged 36 months was conducted from November 1, 2014, to February 28, 2016, in participant homes or public locations. Data were analyzed from October 5, 2018, to April 29, 2019. The immediate intervention group received the intervention during pregnancy and at 6, 12, and 18 months of age. The delayed intervention group received the intervention at 24, 30, and 36 months of age. Both groups received an intervention consisting of free dental care for mothers, fluoride varnish on children's teeth, anticipatory guidance on oral health and dietary advice, and motivational interviewing. Dietary intake was measured with a caregiver-completed, 17-item food frequency questionnaire. Frequency of consumption of discretionary foods and beverages were the main dietary outcomes. Children's weight, height, and mid-upper arm circumference were measured and converted to age- and sex-specific z scores. Body mass index z score was the main anthropometric outcome. A total of 330 children were followed up to age 36 months among the 448 mothers and 454 children who were randomized to the 2 groups. At baseline, the women had a mean (SD) age of 24.9 (5.9) years, and the children had a mean (SD) weight of 3.3 (0.6) kilograms at birth, and 205 were boys (46%); sex was not recorded for 63 children (14%). Diet outcomes were similar between the groups. For example, the mean (SD) intake of discretionary beverages by the immediate intervention group was similar to that by the delayed intervention group (507 [536] mL/d vs 520 [546] mL/d; adjusted mean difference [MD], -16 [95% CI, -133 to 102] mL/d; P = .79). Height was similar between the 2 groups, but the mean (SD) z scores of weight (0.7 [1.0] vs 0.4 [1.0]; adjusted MD, 0.3 [95% CI, 0.1-0.5]; P = .02), arm circumference (1.6 [1.0] vs 1.3 [0.9]; adjusted MD, 0.2 [95% CI, 0.1-0.5]; P = .03), and body mass index (1.1 [1.1] vs 0.9 [0.9]; adjusted MD, 0.2 [95% CI, 0.0-0.4]; P = .04) were higher in the immediate intervention group than the delayed intervention group. This study found no differences in dietary intakes between children who received an intervention to reduce dental caries early and those who received it later. At age 36 months, children in the immediate intervention group had greater z scores for weight, arm circumference, and body mass index than their counterparts in the delayed intervention group, suggesting a potential implication of oral health interventions for anthropometric outcomes. ANZCTR Identifier: ACTRN12611000111976.

A Multicomponent mHealth-Based Intervention (SWAP IT) to Decrease the Consumption of Discretionary Foods Packed in School Lunchboxes: Type I Effectiveness-Implementation Hybrid Cluster Randomized Controlled Trial.

BackgroundThere is significant opportunity to improve the nutritional quality of foods packed in children’s school lunchboxes. Interventions that are effective and scalable targeting the school and home environment are therefore warranted.ObjectiveThis study aimed to assess the effectiveness of a multicomponent, mobile health–based intervention, SWAP IT, in reducing the energy contribution of discretionary (ie, less healthy) foods and drinks packed for children to consume at school.MethodsA type I effectiveness–implementation hybrid cluster randomized controlled trial was conducted in 32 primary schools located across 3 local health districts in New South Wales, Australia, to compare the effects of a 6-month intervention targeting foods packed in children’s lunchboxes with those of a usual care control. Primary schools were eligible if they were not participating in other nutrition studies and used the required school communication app. The Behaviour Change Wheel was used to co-design the multicomponent SWAP IT intervention, which consisted of the following: school lunchbox nutrition guidelines, curriculum lessons, information pushed to parents digitally via an existing school communication app, and additional parent resources to address common barriers to packing healthy lunchboxes. The primary outcome, mean energy (kilojoules) content of discretionary lunchbox foods and drinks packed in lunchboxes, was measured via observation using a validated school food checklist at baseline (May 2019) and at 6-month follow-up (October 2019). Additional secondary outcomes included mean lunchbox energy from discretionary foods consumed, mean total lunchbox energy packed and consumed, mean energy content of core lunchbox foods packed and consumed, and percentage of lunchbox energy from discretionary and core foods, all of which were also measured via observation using a validated school food checklist. Measures of school engagement, consumption of discretionary foods outside of school hours, and lunchbox cost were also collected at baseline and at 6-month follow-up. Data were analyzed via hierarchical linear regression models, with controlling for clustering, socioeconomic status, and remoteness.ResultsA total of 3022 (3022/7212, 41.90%) students consented to participate in the evaluation (mean age 7.8 years; 1487/3022, 49.22% girls). There were significant reductions between the intervention and control groups in the primary trial outcome, mean energy (kilojoules) content of discretionary foods packed in lunchboxes (–117.26 kJ; 95% CI –195.59 to –39.83; P=.003). Relative to the control, the intervention also significantly reduced secondary outcomes regarding the mean total lunchbox energy (kilojoules) packed (–88.38 kJ; 95% CI –172.84 to –3.92; P=.04) and consumed (–117.17 kJ; 95% CI –233.72 to –0.62; P=.05). There was no significant difference between groups in measures of student engagement, consumption of discretionary foods outside of school hours, or cost of foods packed in children’s lunchboxes.ConclusionsThe SWAP IT intervention was effective in reducing the energy content of foods packed for and consumed by primary school–aged children at school. Dissemination of the SWAP IT program at a population level has the potential to influence a significant proportion of primary school–aged children, impacting weight status and associated health care costs.Trial RegistrationAustralian Clinical Trials Registry ACTRN12618001731280; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=376191&isReview=trueInternational Registered Report Identifier (IRRID)RR2-10.1186/s12889-019-7725-x