Validation of a sports nutrition knowledge questionnaire for athletes in the United Kingdom and Ireland.

Sound general and sports nutrition knowledge in athletes is essential for making appropriate dietary choices. Assessment of nutrition knowledge enables evaluation and tailoring of nutrition education. However, few well-validated tools are available to assess nutrition knowledge in athletes. The objective of the present study was to establish the validity of the Platform to Evaluate Athlete Knowledge Sports - Nutrition Questionnaire (PEAKS-NQ) for use in the United Kingdom and Irish (UK-I) athletes. To confirm content validity, twenty-three sports nutritionists (SNs) from elite, UK-I sports institutes provided feedback on the PEAKS-NQ via a modified Delphi method. After minor changes, the UK-I version of the PEAKS-NQ was administered to UK-I SN from the British Dietetic Association Sport and Exercise Nutrition Register, and elite athletes (EA) training at elite sports institutes in the UK and Ireland. Independent samples t-test and independent samples median tests were used to compare PEAKS-NQ total and subsection scores between EA and SN (to assess construct validity). Cronbach's alpha (good ≥ 0⋅7) was used to establish internal consistency. The SN achieved greater overall [SN (n 23) 92⋅3 (9⋅3) v. EA (n 154): 71⋅4 (10⋅0)%; P < 0⋅001] and individual section scores (P < 0⋅001) except Section B, Identification of Food Groups (P = 0⋅07). Largest knowledge differences between SN and EA were in Section D, Applied Sports Nutrition [SN: 88⋅5 (8⋅9) v. EA: 56⋅7 (14⋅5)%; P < 0⋅00]. Overall ES was large (2⋅1), with subsections ranging from 0⋅6 to 2⋅3. Cronbach's alpha was good (0⋅83). The PEAKS-NQ had good content and construct validity, supporting its use to assess nutrition knowledge of UK-I athletes.

Dietary intake in hospitals: A systematic literature review of the validity of the visual estimation method to assess food consumption and energy and protein intake.

BACKGROUND: Accurate dietary assessment is an essential component for nutrition care planning and monitoring. The visual estimation method (VEM) of dietary assessment is routinely used in hospitals around the world. Therefore, clarity regarding its validity is imperative. AIM: To conduct a systematic literature review to evaluate the validity of the VEM to assess food consumption and energy and protein intake in the hospital setting. METHODS: This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement and checklist. Full-text manuscripts, published in English between January 2000 and September 2021, were searched using five electronic databases. A further manual search of reference lists was conducted. RESULTS: 14 studies evaluating the validity of 12 different VEMs were included. 12 studies used various point-scales (0-100%), three with pre-determined nutrient estimates assigned to each intake level, and nine without. Two studies used modern technology. Results indicate that the VEM can achieve validity at the group level, but support at the individual level was limited. No one method of visual estimation appeared to be more valid than another; however, training of raters appears to be important. CONCLUSION: The VEM shows potential as a valid tool for dietary monitoring in hospitals. Further high-quality research is required to establish the effects of meal and rater characteristics on validity at the group and individual levels. Furthermore, to reflect current modes of implementation more fully, research is needed to evaluate the validity of the VEM when operated via food-service software suites.

The association of social and food preparation location context with the quality of meals and snacks consumed by young adults: findings from the MYMeals wearable camera study.

PURPOSE: This study examined the association of social contexts and food preparation location with the quality of meals and snacks (predominately from the five food groups (FFG) versus discretionary foods) in a sample of young Australian adults (18-30 years old) using wearable camera technology. METHODS: A sub-sample from the cross-sectional MYMeals study wore a wearable camera that captured images every 30 s for three consecutive days. Eating episodes from 133 participants (55% female) were classified across 4 domains: food quality (observed proportion of FFG and discretionary items), preparation location, social interaction, and screen use. Socio-economic status (SES) was assigned using residential postcode and gender self-reported. Associations of contexts and demographic factors with food quality stratified by meal type were determined using mixed binary logistic regression models. RESULTS: Of the 1840 eating episodes identified, 1775 were included in analysis (n = 8 preparation location and n = 57 food components that could not be identified were excluded). Food prepared at home was more likely to be from the FFG at lunch (OR = 4.8 95% CI 2.7-8.6), dinner (OR = 14.8 95% CI 7.6-28.6), and snacks (OR = 3.2 95% CI 2.2-4.8). Participants from higher SES areas were more likely to consume breakfasts (OR = 3.2 95% CI 1.4-7.4) and lunches (OR = 1.9 95% CI 1.0-3.7) predominately from the FFG. Females were more likely to consume lunches (OR = 2.0 95% CI 1.1-3.8) that was largely from the FFG. Social interaction and screen use were not associated with meal or snack quality. CONCLUSION: Wearable cameras have verified the importance of addressing meals and snacks prepared outside of home as an important contributor of discretionary food.

Enhancing Nutrition Care Through Real-Time, Sensor-Based Capture of Eating Occasions: A Scoping Review.

As food intake patterns become less structured, different methods of dietary assessment may be required to capture frequently omitted snacks, smaller meals, and the time of day when they are consumed. Incorporating sensors that passively and objectively detect eating behavior may assist in capturing these eating occasions into dietary assessment methods. The aim of this study was to identify and collate sensor-based technologies that are feasible for dietitians to use to assist with performing dietary assessments in real-world practice settings. A scoping review was conducted using the PRISMA extension for scoping reviews (PRISMA-ScR) framework. Studies were included if they were published between January 2016 and December 2021 and evaluated the performance of sensor-based devices for identifying and recording the time of food intake. Devices from included studies were further evaluated against a set of feasibility criteria to determine whether they could potentially be used to assist dietitians in conducting dietary assessments. The feasibility criteria were, in brief, consisting of an accuracy ≥80%; tested in settings where subjects were free to choose their own foods and activities; social acceptability and comfort; a long battery life; and a relatively rapid detection of an eating episode. Fifty-four studies describing 53 unique devices and 4 device combinations worn on the wrist (n = 18), head (n = 16), neck (n = 9), and other locations (n = 14) were included. Whilst none of the devices strictly met all feasibility criteria currently, continuous refinement and testing of device software and hardware are likely given the rapidly changing nature of this emerging field. The main reasons devices failed to meet the feasibility criteria were: an insufficient or lack of reporting on battery life (91%), the use of a limited number of foods and behaviors to evaluate device performance (63%), and the device being socially unacceptable or uncomfortable to wear for long durations (46%). Until sensor-based dietary assessment tools have been designed into more inconspicuous prototypes and are able to detect most food and beverage consumption throughout the day, their use will not be feasible for dietitians in practice settings.

Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App.

Technology-enhanced methods of dietary assessment may still face common limitations of self-report. This study aimed to assess foods and beverages omitted when both a 24 h recall and a smartphone app were used to assess dietary intake compared with camera images. For three consecutive days, young adults (18-30 years) wore an Autographer camera that took point-of-view images every 30 seconds. Over the same period, participants reported their diet in the app and completed daily 24 h recalls. Camera images were reviewed for food and beverages, then matched to the items reported in the 24 h recall and app. ANOVA (with post hoc analysis using Tukey Honest Significant Difference) and paired t-test were conducted. Discretionary snacks were frequently omitted by both methods (p < 0.001). Water was omitted more frequently in the app than in the camera images (p < 0.001) and 24 h recall (p < 0.001). Dairy and alternatives (p = 0.001), sugar-based products (p = 0.007), savoury sauces and condiments (p < 0.001), fats and oils (p < 0.001) and alcohol (p = 0.002) were more frequently omitted in the app than in the 24 h recall. The use of traditional self-report methods of assessing diet remains problematic even with the addition of technology and finding new objective methods that are not intrusive and are of low burden to participants remains a challenge.

The Contribution of Foods Prepared Outside the Home to the Diets of 18- to 30-Year-Old Australians: The MYMeals Study.

Young adults are the highest consumers of food prepared outside home (FOH) and gain most weight among Australian adults. One strategy to address the obesogenic food environment is menu labelling legislation whereby outlets with >20 stores in one state and >50 Australia-wide must display energy content in kJ. The aim of this study was to assess the contribution of FOH to the energy and macronutrients, saturated fat, total sugars and sodium intakes of young Australians. One thousand and one 18 to 30-year-olds (57% female) residing in Australia's most populous state recorded all foods and beverages consumed and the location of preparation for three consecutive days using a purpose-designed smartphone application. Group means for the daily consumption of energy, percentage energy (%E) for protein, carbohydrate, total sugars, total and saturated fats, and sodium density (mg/1000 kJ) and proportions of nutrients from FOH from menu labelling and independent outlets were compared. Overall, participants consumed 42.4% of their energy intake from FOH with other nutrients ranging from 39.8% (sugars) to 47.3% (sodium). Independent outlets not required to label menus, contributed a greater percentage of energy (23.6%) than menu labelling outlets (18.7%, p < 0.001). Public health policy responses such as public education campaigns, extended menu labelling, more detailed nutrition information and reformulation targets are suggested to facilitate healthier choices.

Approaches to patient satisfaction measurement of the healthcare food services: A systematic review.

BACKGROUND & AIMS: Monitoring consumer's satisfaction is important in ensuring effective foodservice improvements and to provide a patient-centred foodservice experience. The aim of this study is to systematically review available patient foodservice satisfaction survey instruments developed and validated within the acute and long-term care settings. METHODS: A literature search of four scientific databases was performed to identify relevant studies with 50 participants or greater. Study characteristics, such as identifying information, contexts, and descriptive data regarding the tool and its evaluation study, were extracted and synthesised. Quality appraisal of individual studies was undertaken to assess the risk of bias during data collection. RESULTS: Majority of the survey instruments included utilised a quantitative research approach in the form of self- or interview-administered questionnaires. Tools within the long-term care settings were more likely to be administered via interviews using a shorter and even rating scale, potentially resulting in a higher degree of bias and reduced data sensitivity. Food quality was consistently shown to be the main predictor of the overall satisfaction in food services. Factors that are context-specific to the settings, opportunities to allow open-ended comments, and the involvement of patients' perspectives in instrument development were also critical in improving survey quality. CONCLUSION: The available validated survey instruments are generally valid and of acceptable quality, enabling effective foodservice satisfaction measurement in the healthcare settings. Nonetheless, gaps have been identified in the literature with limited evidence available for foodservice satisfaction measurement within the paediatric settings, supporting the value of future research in this field.

Energy misreporting is more prevalent for those of lower socio-economic status and is associated with lower reported intake of discretionary foods.

The role of socio-economic status (SES) on the misreporting of food and energy intakes is not well understood with disagreement in the literature. The aim of this study was to examine the associations between low energy reporting, dietary quality and SES in a representative sample of adults. Dietary data were collected using 2 d of 24-h recalls for 6114 adults aged 19 years and over, participating in the Australian National Nutrition and Physical Activity Survey 2011-2012. Low energy reporters (LER) and plausible reporters (PR) were identified. Discretionary food intake was used as a proxy indicator of diet quality. SES was determined using area-level SES and educational attainment. Regression analysis was applied to examine the effects of LER and SES on diet quality, adjusting for potential confounders. LER was more common in populations of lower SES than higher SES (area-level OR 1·46 (95 % CI 1·06, 2·00); education OR 1·64 (95 % CI 1·28, 2·09). LER and SES were independently associated with diet quality, with LER reporting lower percentage energy from discretionary foods compared with PR (27·4 v. 34·2, P < 0·001), and those of lower area-level SES and education reporting lower diet quality compared with those of higher SES (33·7 v. 31·2, P < 0·001; and 33·5 v. 29·6, P < 0·001, respectively). No interaction effect was found between LER and SES, indicating percentage energy in discretionary foods was not differentially misreported across the SES areas (0·3078) or education (P = 0·7078). In conclusion, LER and higher SES were associated with better diet quality.

Using wearable cameras to monitor eating and drinking behaviours during transport journeys.

PURPOSE: Young adults are vulnerable to weight gain and dietary behaviours such as 'eating on the run' are likely contributors. The objective of this study was to examine eating and drinking behaviours during transport journeys in a sample of young adults using wearable cameras that take continuous images every 30 s. METHODS: Seventy-eight 18-30 year olds wore an Autographer wearable camera for three consecutive days. Image coding schedules were designed to assess physical activity (included transportation) and diet. For the general description of data, frequency analysis was calculated as image number (percentage) and mean (± SD) or median (IQR) when appropriate. RESULTS: A total of 281,041 images were coded and 32,529 (14%) of images involved transport. The median (IQR) camera wear time was 8 h per day (7-9 h). The camera images identified 52 participants (67%) either eating or drinking during transport (excluding water). A total of 143 eating and drinking occasions were identified, averaging 3 occasions per person over the three study days. Fifty five (38%) eating episodes were identified by the camera images of which 27 (49%) were discretionary and 88 (62%) drinking episodes were identified of which (45%) were discretionary. CONCLUSION: This study confirms that transport is a potential setting for intervention. Young adults are consuming discretionary food and beverages during transport which may contribute to energy-dense diets and compromise diet quality. Substituting unhealthy with healthy food advertising and potentially prohibiting eating and drinking whilst on public transport is suggested.

Prevalence of Product Claims and Marketing Buzzwords Found on Health Food Snack Products Does Not Relate to Nutrient Profile.

Growth in the consumer health and wellness industry has led to an increase of packaged foods marketed as health food (HF) products. In consequence, a 'health halo' around packaged HF has arisen that influences consumers at point-of-purchase. This study compared product claims (nutrient content claims (NCC), health claims and marketing 'buzzwords') displayed on packaged HF snack products sold in HF stores and HF aisles in supermarkets to equivalent products sold in regular aisles (RA) of supermarkets. Product Health Star Rating (HSR), nutrient profile and price were also compared. Data were collected for 2361 products from three supermarket chains, two HF chains and one independent HF store in Sydney, Australia. Mann-Whitney U tests compared the product claims, HSR, nutrient composition and unit ($) price. HF snacks displayed significantly more product claims per product compared to RA foods (HSR ≤ 2.5), median (IQR) 5.0(4.0) versus 1.0(2) and (HSR > 2.5) 4.0(4.0) versus 3.0(4), respectively (p < 0.001). A significantly different HSR was evident between HF and RA snack products, median 2.5(0) versus 2.0(1.5), respectively (p < 0.001). HF snacks cost significantly more than RA snack foods, irrespective of product HSR (p < 0.001). These findings support the recommendation for revised labelling regulations and increased education regarding consumers food label interpretation.

Breakfast size is associated with daily energy intake and diet quality.

OBJECTIVES: The aim of this study was to investigate the role of breakfast consumption and breakfast size on daily energy, nutrient intakes, and diet quality. METHODS: One-day 24-h recall data from the 2011 to 2012 National Nutrition and Physical Activity Survey (n = 9341, adults ≥ 19 y) were analyzed, and respondents were classified into breakfast consumers or skippers. Breakfast consumers were further classified into quartile of breakfast size (energy intake [EI] from breakfast × 100%/daily EI). Diet quality was assessed using the Healthy Eating Index for Australian Adults. General linear modeling was undertaken to compare groups, adjusting for potential confounders. RESULTS: Overall, 85.9% of adults consumed breakfast, contributing a mean of 19.9 ± 10.9% of daily EI for consumers. Among breakfast consumers, obtaining a higher proportion of daily EI from breakfast was associated with lower daily intakes of energy, added sugars, saturated fat, and alcohol (%E); higher intakes of dietary fiber (%E) and most micronutrients (per 1000 kJ); and better Healthy Eating Index for Australian Adults scores (Ptrend < 0.0001). Additionally, those in the highest quartile of breakfast size (>25.5% EI) had higher diet quality scores (P < 0.001) but similar daily EI (P = 0.751) compared with breakfast skippers. CONCLUSIONS: These findings indicate that obtaining a higher proportion of daily EI from breakfast may result in more favorable dietary profiles and lower daily EI. Further research is needed to confirm this.

The efficacy of electronic health interventions targeting improved sleep for achieving prevention of weight gain in adolescents and young to middle-aged adults: A systematic review.

Sleep is emerging as a modifiable risk factor in counteracting harmful weight gain. Electronic and mobile devices offer a channel for wide-reaching intervention delivery. This systematic review aimed to determine the efficacy of interventions that included sleep behaviour as part of health promotion for preventing weight gain. Seven databases were searched from 1 January 2000 until 28 June 2019. Eligible studies were controlled trials of weight gain prevention programs that addressed sleep in healthy participants aged 13 to 44 years of age. The primary outcome was change in measured or self-reported weight. From 824 publications located, only six eligible trials with a total of 3,277 participants were identified and all addressed multiple behaviours. One study demonstrated a decrease in weight for the intervention group, and two other studies showed a decreased prevalence of overweight and obesity. Only one trial showed improved sleep duration but failed to show differences in weight. No definitive conclusions concerning the efficacy of electronic weight gain prevention interventions that include sleep can be made, but future trials should provide more detail about intervention techniques used, employ objective sleep and physical activity measures and undertake mediation analysis to judge the contributions of changes in sleep to study outcomes. PROSPERO REGISTRATION: CRD42019121879.

Comparison between serving sizes of cakes and muffins sold in Australian supermarkets and coffee shop chains.

AIM: Cakes and muffins are commonly consumed discretionary foods that have increased significantly in portion size over the past decades. The present study aimed to (i) investigate serving sizes and energy per serving of cakes and muffins sold in supermarkets and coffee chains, (ii) compare to standard discretionary serves and (iii) propose feasible and appropriate serving size recommendations. METHODS: Serving sizes and energy content of cakes and muffins were collected from four major Australian supermarkets (n = 219) and eight coffee chains (n = 248) between March and April 2017 and classified into eight categories and compared using Mann-Whitney tests. Median energy per serving of cakes and muffins from supermarkets and coffee chains were compared to the Australian Dietary Guidelines standard serve of 600 kJ for discretionary food. RESULTS: The median serving size of cakes and muffins from supermarkets, 58 g (interquartile range, IQR: 47-83) and their energy content, 915 kJ (IQR: 745-1243) were significantly smaller compared with coffee chain equivalents, 148 g (IQR: 115-171, P < 0.001) and 1805 kJ (IQR: 1436-2004, P < 0.001), respectively. The majority of cakes and muffins exceeded the Australian Dietary Guidelines standard serve (78% from supermarkets and 99% from coffee chains). CONCLUSIONS: The larger servings of cakes and muffins sold in coffee chains contain nearly double the energy content of smaller servings sold in supermarkets. We recommend reference serving sizes for industry and food retail are set for this category, in combination with consumer education to guide consumers to select appropriate portion sizes.

A comparison of the Health Star Rating and nutrient profiles of branded and generic food products in Sydney supermarkets, Australia.

OBJECTIVE: To compare the Health Star Rating (HSR) and the nutritional profile of branded and generic packaged foods in Australia. DESIGN: In-store audits of packaged food products capturing data on HSR and nutritional content to analyse differences between branded and generic foods across ten food categories. SETTING: The audit was conducted in four major supermarket chains across various locations within metropolitan Sydney regions, Australia. RESULTS: A total of 6269 products were analysed with 57 % of generic products and 28 % of branded products displaying an HSR. The median HSR of branded products was significantly greater than for generic products overall (4·0 v. 3·5, P<0·005) and in six out of ten food categories (P<0·005). However, when branded products could be matched to their generic counterparts for paired comparisons (n 146), no statistical difference was observed in all ten food categories. Branded products that chose to display an HSR had significantly lower saturated fat and Na, but higher fibre contents than branded products not displaying an HSR. CONCLUSIONS: Our data show no difference in the HSR or nutrient profiles of similar branded and generic products that display HSR. Branded products appear to exploit the voluntary nature of the HSR scheme, preferentially displaying an HSR on healthier products compared with their generic counterparts.

Oxidation of fish oil supplements in Australia.

Fish oils oxidise readily, forming primary and secondary oxidation products, which may be harmful for humans. Some recent studies reported that fish oil supplements in Australasia are oxidised above acceptable international limits, however other studies reported low levels of oxidation. This study employed peroxide and p-anisidine values determination to measure primary and secondary oxidation of fish oils in the Australian market. Of 26 supplements tested, 38% exceeded the limit for primary oxidation, 25% exceeded the limit for secondary oxidation and 33% exceeded the limit for total oxidation, according to international recommendations. Four specially marketed supplements were found to deliver significantly lower amounts of fish oil per capsule (165 vs. 577 mg, p = .007), yet cost significantly more on a per gram basis ($2.97 vs $0.39, p < .001). However, there were no differences in any oxidative markers between regular supplements and the specially marketed products.

Diet-Quality and Socio-Demographic Factors Associated with Non-Nutritive Sweetener Use in the Australian Population.

Non-nutritive sweeteners (NNS) are used in the food supply to replace sugar and/or to reduce dietary energy intake. The aim of this research was to assess the consumption prevalence and food sources of NNS in the Australian population. Food group and nutrient intakes were assessed to compare diet quality of NNS consumers and non-consumers. Secondary analysis of the Australian National Nutrition and Physical Activity Survey, 2011/12 was conducted (n = 12,435) after identifying all NNS products consumed in the population. The proportion of participants that reported intake of NNS per day was 18.2% for adults (19+ years), and 8.5% for children (2⁻18 years), with the most common food sources being carbonated soft drinks, tabletop sweeteners, and yoghurt. Characteristics associated with NNS consumption in adults included being female, higher body mass index (BMI), self-reported diabetes status, and being on a weight-loss diet. For adults, NNS consumers had lower free sugar intake but energy intake did not differ from non-consumers. However, for children, no differences in free sugar or energy intake were observed between consumers and non-consumers. While these results support the use of NNS in reducing sugar intake, these data suggest compensatory increases in energy intake may occur.

Evaluating the Nutritional Content of Children's Breakfast Cereals in Australia.

Breakfast is an important contributor to the daily dietary intake of children. This study investigated the nutritional composition of ready to eat (RTE) children’s breakfast cereals, which display fictional cartoon characters and themes, compared to other cereals available in Australia. Nutrient content claims on packaging were also examined. Data were collected from RTE breakfast cereal packages (N = 347) from four major supermarkets in Sydney. Cereals were classified based on product type and promotional information displayed. Overall, 46% of children’s cereals were classified as “less healthy” as per nutrient profiling score criteria. Children’s cereals had a similar energy and sodium content per 100 g compared to other cereals but contained significantly higher levels of total sugar and lower levels of protein and dietary fibre compared to other varieties. Children’s cereals with nutrient content claims had improved (lower) nutrient profiling scores than those that did not (2 vs. 13, p = 0.021), but total sugar per 100 g was similar: 25 g (interquartile range (IQR) 14 g) vs. 32 g (IQR 19 g). In conclusion, RTE children’s breakfast cereals were found to be less healthy compared to other cereals on the market and the use of nutrient content claims on children’s cereals may mislead consumers regarding their overall nutrient profile.

Large Variations in Declared Serving Sizes of Packaged Foods in Australia: A Need for Serving Size Standardisation?

Declared serving sizes on food packaging are unregulated in Australia, and variations in serving size within similar products reduces the usability of this information. This study aimed to (i) assess the variations in declared serving sizes of packaged foods from the Five Food Groups, and (ii) compare declared serving sizes to the Australian Dietary Guidelines standard serves and typical portion sizes consumed by Australian adults. Product information, including serving size, was collected for 4046 products from four major Australian retailers. Within product categories from the Five Food Groups, coefficients of variation ranged from 0% to 59% for declared serving size and 9% to 64% for energy per serving. Overall, 24% of all products displayed serving sizes similar (within ±10%) to the standard serves, and 23-28% were similar to typical portion sizes consumed by adults, for females and males, respectively. In conclusion, there is substantial variation in the declared serving sizes of packaged foods from the Five Food Groups, and serving sizes are not aligned with either the Dietary Guidelines or typical portion sizes consumed. Future research into effective means of standardising serving sizes is warranted.

Examining the Frequency and Contribution of Foods Eaten Away From Home in the Diets of 18- to 30-Year-Old Australians Using Smartphone Dietary Assessment (MYMeals): Protocol for a Cross-Sectional Study.

BACKGROUND: Young Australians aged between 18 and 30 years have experienced the largest increase in the body mass index and spend the largest proportion of their food budget on fast food and eating out. Frequent consumption of foods purchased and eaten away from home has been linked to poorer diet quality and weight gain. There has been no Australian research regarding quantities, type, or the frequency of consumption of food prepared outside the home by young adults and its impact on their energy and nutrient intakes. OBJECTIVES: The objective of this study was to determine the relative contributions of different food outlets (eg, fast food chain, independent takeaway food store, coffee shop, etc) to the overall food and beverage intake of young adults; to assess the extent to which food and beverages consumed away from home contribute to young adults' total energy and deleterious nutrient intakes; and to study social and physical environmental interactions with consumption patterns of young adults. METHODS: A cross-sectional study of 1008 young adults will be conducted. Individuals are eligible to participate if they: (1) are aged between 18 and 30 years; (2) reside in New South Wales, Australia; (3) own or have access to a smartphone; (4) are English-literate; and (5) consume at least one meal, snack, or drink purchased outside the home per week. An even spread of gender, age groups (18 to 24 years and 25 to 30 years), metropolitan or regional geographical areas, and high and low socioeconomic status areas will be included. Participants will record all food and drink consumed over 3 consecutive days, together with location purchased and consumed in our customized smartphone app named Eat and Track (EaT). Participants will then complete an extensive demographics questionnaire. Mean intakes of energy, nutrients, and food groups will be calculated along with the relative contribution of foods purchased and eaten away from home. A subsample of 19.84% (200/1008) of the participants will complete three 24-hour recall interviews to compare with the data collected using EaT. Data mining techniques such as clustering, decision trees, neural networks, and support vector machines will be used to build predictive models and identify important patterns. RESULTS: Recruitment is underway, and results will be available in 2018. CONCLUSIONS: The contribution of foods prepared away from home, in terms of energy, nutrients, deleterious nutrients, and food groups to young people's diets will be determined, as will the impact on meeting national recommendations. Foods and consumption behaviors that should be targeted in future health promotion efforts for young adults will be identified.

Smartphone apps and the nutrition care process: Current perspectives and future considerations.

OBJECTIVE: To provide dietitians with practical guidance on incorporating smartphone applications (apps) in the nutrition care process (NCP) to optimize patient education and counseling. METHODS: The current evidence-base for mobile health (mHealth) apps was searched using PubMed and Google Scholar. Where and how apps could be implemented by dietitians across the four steps of the NCP is discussed. RESULTS: With functionality to automatically convert patient dietary records into nutrient components, nutrition assessment can be streamlined using nutrition apps, allowing more time for dietitians to deliver education and nutrition counseling. Dietitians could prescribe apps to provide patients with education on nutrition skills and in counseling for better adherence to behavior change. Improved patient-provider communication is also made possible through the opportunity for real-time monitoring and evaluation of patient progress via apps. A practical framework termed the 'Mobile Nutrition Care Process Grid' provides dietitians with best-practice guidance on how to use apps. CONCLUSIONS: Including apps into dietetic practice could enhance the efficiency and quality of nutrition care and counseling delivered by dietitians. PRACTICE IMPLICATIONS: Apps should be considered an adjunct to enable dietetic counseling and care, rather than to replace the expertise, social support and accountability provided by dietitians.