Increasing Children's Vegetable Consumption: Translating a Review of the Evidence Base to Develop Best Practice Guidelines.

Introduction: Dietary guidelines worldwide emphasize the importance of consuming vegetables as part of a healthy diet. Despite this, translating this information into messages for consumers that change behavior has been difficult. There have been population-level social marketing campaigns as well as several smaller campaigns directed specifically toward children, which have demonstrated small increases in consumption. However, achieving meaningful and sustained increases in children's vegetable consumption remains a challenge. This article describes the process of synthesizing the published literature and translating these findings to inform the development of 7 best practice guidelines to increase children's vegetable intake. Methods: The first step in this process was a systematic review of scientific literature to identify the components of interventions that were associated with successfully increasing vegetable intake. The synthesis of effective intervention components was guided by the Behavior Change Wheel. These scientific findings were translated to guidelines for best practice. This process involved a team of nutrition and behavioral researchers and nutrition practitioners translating the science into actionable advice that could be adopted by a range of stakeholders. The 6 selected stakeholders included long daycare centers, after-hours school care providers, primary schools, industry groups and growers, researchers, and government policy makers. Stakeholders were involved in the development process through surveys and interviews to understand their requirements for resources to support adoption of the best practice guidelines within each setting and within the context of existing practice. Results: The guidelines center on coordination of effort, with a focus on components such as planning, environmental restructuring, barrier reduction, feedback, and monitoring. In consultation with key stakeholders, a range of resources were developed for each setting to support the implementation of best practice, with the aim of achieving meaningful increases in intake. The resources and tools have been made available at http://www.vegkit.com.au. Conclusions: The translation of knowledge into practice is not traditionally included as part of the research process. Therefore, combining the process of reviewing the science and translating the evidence to stakeholder resources to influence practice in 1 research study is novel, and the study could be used to guide future research translation activities within and beyond the field of public health nutrition.

Predicting Disengagement to Better Support Outcomes in a Web-Based Weight Loss Program Using Machine Learning Models: Cross-Sectional Study.

BACKGROUND: Engagement is key to interventions that achieve successful behavior change and improvements in health. There is limited literature on the application of predictive machine learning (ML) models to data from commercially available weight loss programs to predict disengagement. Such data could help participants achieve their goals. OBJECTIVE: This study aimed to use explainable ML to predict the risk of member disengagement week by week over 12 weeks on a commercially available web-based weight loss program. METHODS: Data were available from 59,686 adults who participated in the weight loss program between October 2014 and September 2019. Data included year of birth, sex, height, weight, motivation to join the program, use statistics (eg, weight entries, entries into the food diary, views of the menu, and program content), program type, and weight loss. Random forest, extreme gradient boosting, and logistic regression with L1 regularization models were developed and validated using a 10-fold cross-validation approach. In addition, temporal validation was performed on a test cohort of 16,947 members who participated in the program between April 2018 and September 2019, and the remaining data were used for model development. Shapley values were used to identify globally relevant features and explain individual predictions. RESULTS: The average age of the participants was 49.60 (SD 12.54) years, the average starting BMI was 32.43 (SD 6.19), and 81.46% (39,594/48,604) of the participants were female. The class distributions (active and inactive members) changed from 39,369 and 9235 in week 2 to 31,602 and 17,002 in week 12, respectively. With 10-fold-cross-validation, extreme gradient boosting models had the best predictive performance, which ranged from 0.85 (95% CI 0.84-0.85) to 0.93 (95% CI 0.93-0.93) for area under the receiver operating characteristic curve and from 0.57 (95% CI 0.56-0.58) to 0.95 (95% CI 0.95-0.96) for area under the precision-recall curve (across 12 weeks of the program). They also presented a good calibration. Results obtained with temporal validation ranged from 0.51 to 0.95 for area under a precision-recall curve and 0.84 to 0.93 for area under the receiver operating characteristic curve across the 12 weeks. There was a considerable improvement in area under a precision-recall curve of 20% in week 3 of the program. On the basis of the computed Shapley values, the most important features for predicting disengagement in the following week were those related to the total activity on the platform and entering a weight in the previous weeks. CONCLUSIONS: This study showed the potential of applying ML predictive algorithms to help predict and understand participants' disengagement with a web-based weight loss program. Given the association between engagement and health outcomes, these findings can prove valuable in providing better support to individuals to enhance their engagement and potentially achieve greater weight loss.

Environmental sustainability in national food-based dietary guidelines: a global review.

Food-based dietary guidelines (FBDGs) provide country-specific guidance on what constitutes a healthy diet. With increasing evidence for the synergy between human and planetary health, FBDGs have started to consider the environmental sustainability of food choices. However, the number of countries that discuss environmental sustainability in their guidelines is unknown. The purpose of this Review was to identify countries with government-endorsed FBDGs that made explicit mention of environmental sustainability and to examine the breadth and depth of the inclusion of sustainability in FBDGs. The Food and Agriculture Organization of the UN identified 95 countries with FBDGs. We assessed 83 countries against our inclusion criteria, of which 37 mentioned environmental sustainability. Relevant content was assessed against a set of criteria based on the Food and Agriculture Organization's guiding principles for sustainable healthy diets. The depth to which environmental sustainability was discussed varied and it was often restricted to general explanations of what a sustainable diet is. Few FBDGs addressed why sustainability is important, how dietary changes can be made, or provided quantified advice for implementing sustainable diets.

Towards healthier and more sustainable diets in the Australian context: comparison of current diets with the Australian Dietary Guidelines and the EAT-Lancet Planetary Health Diet.

BACKGROUND: There is increasing focus on moving populations towards healthier and more environmentally sustainable dietary patterns. The Australian Dietary Guidelines provide dietary patterns that promote health and wellbeing. It is unclear how these guidelines align with the more recently published global recommendations of the EAT-Lancet Planetary Health Reference Diet, and how Australian diets compare to both sets of recommendations. METHODS: Data from one 24-h recall collected for the 2011-13 National Nutrition and Physical Activity Survey were analysed for 5,920 adults aged 19-50 years. Subgroups of this population were identified by diet quality and lower or higher consumption of foods often considered to be environmentally intensive (higher animal meat and dairy foods) or associated with healthiness (higher vegetables and lower discretionary choices). Food group and nutrient composition of Australian diets were compared to diets modelled on the Australian Dietary Guidelines and Planetary Health Reference Diet. The environmental impacts of diets were estimated using an index of combined metrics. RESULTS: Compared with the Planetary Health Reference Diet, the Australian Dietary Guidelines contained more servings of the vegetable, dairy and alternatives, fruit, and discretionary choices. The amount of meat and alternatives was higher in the Planetary Health Reference Diet than Australian Dietary Guidelines due to the inclusion of more plant-based meat alternatives. The average Australian diet contained two to almost four times the Australian Dietary Guidelines and Planetary Health Reference Diet maximum recommended intake of discretionary choices, and provided inadequate amounts of the vegetables, cereals, unsaturated fats and meats and alternatives food groups, primarily due to lower intakes of plant-based alternatives. The average Australian diet also contained less dairy and alternatives than the Australian Dietary Guidelines. In the average Australian diet, red meat and poultry contributed 73% to the total servings of meat and alternatives compared to 33% and 10% for the Australian Dietary Guidelines and Planetary Health Reference Diet respectively. The modelled Australian Dietary Guidelines diet met the relevant nutrient reference value for all 22 nutrients examined, whereas the Planetary Health Reference Diet contained an inadequate amount of calcium. The environmental impact scores of the Planetary Health Reference Diet and Australian Dietary Guidelines were 31% and 46% lower than the average Australian diet. CONCLUSIONS: Significant changes are required for Australians' dietary intake to align more closely with national and global dietary recommendations for health and environmental sustainability.

Beverage Intake and Associated Nutrient Contribution for Aboriginal and Torres Strait Islander Australians: Secondary Analysis of a National Dietary Survey 2012-2013.

Beverages contribute significantly to dietary intake. Research exploring the impact of beverage types on nutrient intake for Australian Aboriginal and Torres Strait Islander people is limited. A secondary analysis of the Australian Aboriginal and Torres Strait Islander Health Survey 2012-2013 (n = 4109) was undertaken. The daily intake, percentage of consumers, and contribution to total nutrient intake was estimated for 12 beverage categories. Beverage intake contributed to 17.4% of total energy, 27.0% of total calcium, 26.3% of total vitamin C, and 46.6% of total sugar intake. The most frequently consumed beverage categories for children (aged 2 to 18 years) were water, fruit juice/drinks, soft drinks, and cordial; and for adults, water, tea, coffee and soft drinks. The primary sources of beverages with added sugar were fruit juice/drinks (for children), tea (for people living remotely), coffee (for adults in metropolitan/regional areas) and soft drinks (for everyone). Actions to modify beverage intake to improve health should maintain the positive nutrient attributes of beverage intake. This analysis of a large-scale national dietary survey provides benchmarking of beverage intake to support program and policy development to modify intake where this is determined as a priority by the community.

Weight Loss and Usage of an Online Commercial Weight Loss Program (the CSIRO Total Wellbeing Diet Online) Delivered in an Everyday Context: Five-Year Evaluation in a Community Cohort.

BACKGROUND: Obesity is a global public health challenge, and there is a need for more evidence-based self-management programs that support longer-term, sustained weight loss. OBJECTIVE: This study used data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) Total Wellbeing Diet Online program to determine the reach and weight loss results over its first 5 years. METHODS: Participants were adults who joined the commercial weight loss program of their own volition between October 2014 and September 2019 (N=61,164). Information collected included year of birth, sex, height, weight, and usage data (eg, entries into the food diary, views of the menu, and program content). Weight loss and percentage of starting body weight lost were calculated. Members were divided into 2 groups for analysis: "stayers" were members who signed up for at least 12 weeks of the program and recorded a weight entry at baseline and at the end of the program, while "starters" began the program but did not record a weight after 12 weeks. Descriptive statistics and multiple linear regression were used to describe weight loss and determine the member and program characteristics associated with weight loss. RESULTS: Data were available from 59,686 members for analysis. Members were predominately female (48,979/59,686, 82.06%) with an average age of 50 years (SD 12.6). The average starting weight was 90.2 kg (SD 19.7), and over half of all members (34,195/59,688, 57.29%) were classified as obese. At week 12, 94.56% (56,438/59,686) of the members had a paid program membership, which decreased to 41.48% (24,756/59,686) at 24 weeks. At week 12, 52.03% (29,115/55,958) of the remaining members were actively using the platform, and by week 24, 26.59% (14,880/55,958) were using the platform. The average weight loss for all members was 2.8 kg or 3.1% of their starting body weight. Stayers lost 4.9 kg (5.3% of starting body weight) compared to starters, who lost 1.6 kg (1.7% of starting body weight). Almost half (11,082/22,658, 48.91%) the members who stayed on the program lost 5% or more of their starting body weight, and 15.48% (3507/22,658) achieved a weight loss of 10% or more. Of the members who were classified as class 1 obese when they joined the program, 41.39% (3065/7405) who stayed on the program were no longer classified as obese at the end, and across all categories of obesity, 24% (3180/13,319) were no longer classified as obese at the end of the program. Based on multiple linear regression, platform usage was the strongest predictor of weight loss (ß=.263; P<.001), with higher usage associated with greater weight loss. CONCLUSIONS: This comprehensive evaluation of a commercial, online weight loss program showed that it was effective for weight loss, particularly for members who finished the program and were active in using the platform and tools provided. If the results demonstrated here can be achieved at an even greater scale, the potential social and economic benefits will be extremely significant.

Sensory characteristics of vegetables consumed by Australian children.

OBJECTIVES: Consumption is driven by children's sensory acceptance, but little is known about the sensory characteristics of vegetables that children commonly eat. A greater understanding could help design more effective interventions to help raise intakes, thus realising beneficial health effects. This study sought to: (1) Understand the vegetable consumption patterns in children, with and without potatoes, using the Australian and WHO definitions. (2) Describe the sensory characteristics of vegetables consumed by children by age group, level of intake and variety. (3) Determine the vegetable preferences of children, by age group, level of intake and variety. DESIGN: Analysis of National Nutrition Survey data, combining reported vegetable intake with sensory characteristics described by a trained panel. SETTING: Australia. PARTICIPANTS: A nationally representative sample of Australian children and adolescents aged 2-17·9 years (n 2812). RESULTS: While consumption increased in older age groups, variety remained constant. Greater variety, however, was associated with higher vegetable consumption. Potato intake increased with consumption, contributing over one-third of total vegetable intake for highest vegetable consumption and for older age groups. Children favoured relatively sweet vegetables and reported lower consumption of bitter vegetables. There were no differences in the sensory properties of vegetables consumed by children in different age groups. After potatoes, carrots, sweetcorn, mixtures, fruiting and cruciferous types were preferred vegetables. CONCLUSION: Children tend to prefer vegetables with sensory characteristics consistent with innate taste preferences (sweet and low bitterness). Increasing exposure to a variety of vegetables may help increase the persistently low vegetable consumption patterns of children.

Strategies to Reduce Consumption of Unhealthy Foods and Beverages: Scenario Modeling to Estimate the Impact on the Australian Population's Energy and Nutrient Intakes.

BACKGROUND: Overconsumption of energy-dense, nutrient-poor "discretionary" foods and beverages can indicate poor diet quality, which is a risk factor for obesity and chronic disease. With 60% of Australians exceeding the recommended intake of discretionary foods, there is a need for interventions to reduce their consumption. OBJECTIVE: The objective was to model the impact of 26 specific scenarios to limit discretionary food intake on energy and nutrient intake. DESIGN: The scenario modeling analysis was based on reduction strategies targeting portion size, frequency, or variety of discretionary food and beverage items consumed. PARTICIPANTS/SETTING: Data from 12,153 respondents aged 2 to 85 years from the 2011-12 Australian National Nutrition and Physical Activity Survey were used. OUTCOME MEASURES: The outcome measures were change in servings of discretionary foods and key nutrients (energy, total fat, saturated fat, sugar, alcohol, sodium, trans fat) for the population, and by sex, age group, weight status, and socioeconomic status. STATISTICAL ANALYSES PERFORMED: Descriptive and inferential statistical analysis were conducted. RESULTS: Scenarios reduced total energy intake by up to 26% across the population as a whole. The removal of discretionary foods (not beverages) resulted in the greatest reduction in servings and energy (74.8% and 25.6%, respectively), followed by the removal of discretionary items in portions greater than 143 kcal (59.1% and 24.3%) and not consuming discretionary items at main meals (51.2% and 17.8%). Targeting single categories of discretionary foods reduced energy intake by an average of 5.6% for the removal of cakes and biscuits, 4.4% for alcohol, and 3.9% for sugar-sweetened beverages. Strategies reduced total fat, saturated fat, and sugar by up to 35%, 38%, and 40% respectively. CONCLUSIONS: Strategies that are specific to discretionary food and beverage intake targeting reductions in portion size, frequency, or variety have the potential to reduce energy intake and improve diet quality. These findings have implications for designing interventions with potential to tailor messages to current dietary habits. Exploration of how these strategies could be effectively implemented will be the focus of further research.

Linking Production and Consumption: The Role for Fish and Seafood in a Healthy and Sustainable Australian Diet.

Fish and seafood consumption in Australia has been growing, yet the implications of this trend across the food system, from both a health and sustainability perspective have not been fully explored. This paper aims to map out the fish and seafood food system in Australia, linking production and consumption, to articulate challenges and opportunities for enhancing the sector's contribution to future healthy and sustainable diets. We conducted a secondary analysis of publicly available datasets on fish and seafood production and consumption, triangulated and supplemented with peer-reviewed and grey literature on environmental, economic and social sustainability issues throughout the food system. A key challenge for health is the high proportion of fish and seafood consumed as discretionary food, particularly among children. Key challenges for sustainability include the narrow focus on environmental sustainability (with little consideration of the other domains), and the focus on production with little consideration for sustainability throughout post-harvest handling, processing, retail, distribution and consumption. Key opportunities for health and sustainability include the innovative use of processing and packaging technology to maximise nutritional quality; creation of markets and supply chains for a greater diversity of underutilised fish and seafood species and processing by-products; and reductions in waste and loss throughout the entire supply chain.

Drink Choice is Important: Beverages Make a Substantial Contribution to Energy, Sugar, Calcium and Vitamin C Intake among Australians.

It is important to understand the role of beverages in population dietary intake in order to give relevant advice. Population estimates were derived from one-day food recall dietary data from 12,153 participants in the 2011-2012 Australian National Nutrition and Physical Activity Survey. Almost all Australians (99.9%) consumed at least one beverage on the day of the survey, accounting for 16.6% of the total energy intake for adults (aged 19 years and over) and 13.0% for children (aged 2-18 years). Similarly, beverages contributed 26-29% to calcium intake, 22-28% to vitamin C intake, and 35-36% to sugar intake. Water was consumed on the day of the survey by 84.1% of Australian adults and 90.5% of children. For adults, the greatest beverage contributors to total energy intake were alcoholic drinks (5.6%), coffee (3.1%), and soft drinks (1.9%), and for children, plain milk (3.1%), flavoured milk (2.8%), and fruit juice (2.6%). Coffee (10.6%) made the greatest contribution to calcium intake for adults; and plain milk (9.9%) and flavoured milk (7.6%) for children. The greatest contributors to vitamin C intake were fruit juice (13.4%) and alcoholic drinks (6.1%) for adults; and fruit juice (23.4%) for children. For total sugar intake, soft drinks (8.0%), coffee (8.4%), and fruit juice (5.9%) made the highest contribution for adults; and fruit juice (9.8%) and soft drinks (8.7%) for children. The type and amount of beverage consumption has considerable relevance to dietary quality for Australians.

Strategies to increase children's vegetable intake in home and community settings: a systematic review of literature.

A systematic review was undertaken to identify intervention characteristics associated with increasing consumption of vegetables in children (2-12 years). PubMed, PsychINFO and CABabstracts were used to identify studies published between 2004-2014 that had measures of vegetable consumption, a minimum of 3-month follow-up and were conducted in home and community settings (outside of schools). Twenty-two studies were included in the review. Details of the study design, population, setting, intervention characteristics, target behaviour, behaviour change techniques used and vegetable intake were extracted. Study quality and intensity were scored. Overall, 12/22 studies were effective short-term, and 6/10 were effective long-term (6 + months); mean short-term change in vegetable intake was 29%, equating to an increase of a quarter to a half of a serving of vegetables. Intervention effectiveness was associated with number of settings targeted and frequency of contact but not length of intervention. Planning for social support, vegetable exposure and provision of staff training were commonly used behaviour change techniques in effective interventions. This review has identified strategies that may optimise effectiveness of future home-based and community-based interventions aiming to increase vegetable intake in young children.

Dairy food at the first occasion of eating is important for total dairy food intake for Australian children.

The cross-sectional 2007 Australian National Children's Nutrition and Physical Activity Survey collected detailed dietary information from a representative sample of more than 4400 children by 24-h dietary recall. Dairy food intake by Australian children is substantially lower than recommendations, and decreases as a percentage of energy intake as children grow older. Children aged 2 to 16 years are, on average, 2.3 times more likely to have a dairy food at the first daily occasion of eating, than at the second occasion. For children who consumed any dairy food at the first occasion of eating, the total daily intake of dairy foods was 129% (95% CI 120%-138%) greater than for children who did not consume a dairy food at the first occasion of eating. Their dairy food intake for the rest of the day following the first occasion of eating was also greater by 29% (95% CI 21%-37%). Younger age group, male sex, location of eating being at home or in a residence and starting the first occasion of eating from 6 a.m. to 9 a.m. are all jointly associated with having a dairy food at the first occasion of eating. A simple strategy to increase Australian children's intake from the dairy and alternatives food group may be to make sure that the first occasion of eating each day includes a dairy food or a nutritional equivalent.

Dairy food intake of Australian children and adolescents 2-16 years of age: 2007 Australian National Children's Nutrition and Physical Activity Survey.

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.