Exploratory analysis of meal composition in Australia: meat and accompanying foods

Modelling the replacement of red and processed meat with plant-based alternatives and the estimated effect on insulin sensitivity in a cohort of Australian adults

Dietary guidelines are increasingly promoting mostly plant-based diets, limits on red meat consumption, and plant-based sources of protein for health and environmental reasons. It is unclear how the resulting food substitutions associate with insulin resistance, a risk factor for type 2 diabetes. We modelled the replacement of red and processed meat with plant-based alternatives and the estimated effect on insulin sensitivity. We included 783 participants (55 % female) from the Childhood Determinants of Adult Health study, a population-based cohort of Australians. In adulthood, diet was assessed at three time points using FFQ: 2004–2006, 2009–2011 and 2017–2019. We calculated the average daily intake of each food group in standard serves. Insulin sensitivity was estimated from fasting glucose and insulin concentrations in 2017–2019 (aged 39–49 years) using homoeostasis model assessment. Replacing red meat with a combination of plant-based alternatives was associated with higher insulin sensitivity (β = 10·5 percentage points, 95 % CI (4·1, 17·4)). Adjustment for waist circumference attenuated this association by 61·7 %. Replacing red meat with either legumes, nuts/seeds or wholegrains was likewise associated with higher insulin sensitivity. Point estimates were similar but less precise when replacing processed meat with plant-based alternatives. Our modelling suggests that regularly replacing red meat, and possibly processed meat, with plant-based alternatives may associate with higher insulin sensitivity. Further, abdominal adiposity may be an important mediator in this relationship. Our findings support advice to prioritise plant-based sources of protein at the expense of red meat consumption.

Achieving high diet quality at eating occasions: findings from a nationally representative study of Australian adults

This study examined differences in food groups consumed at eating occasions by the level of adherence to dietary guidelines in Australian adults (≤19 years) and whether consumption differed with respect to age, sex and education levels. Secondary analysis of the 2011-2012 National Nutrition and Physical Activity Survey (n 9054) was performed, using one 24-h dietary recall with self-reported eating occasions. Dietary Guideline Index scores were used to assess adherence to the 2013 Australian Dietary Guidelines. Mean differences (95 % CI) in servings of the five food groups and discretionary foods at eating occasions were estimated for adults with higher and lower diet quality, stratified by sex, age group and education. Using survey-based t-tests, differences of at least half a serving with P values < 0·05 were considered meaningful. Compared with adults with lower diet quality, women and men aged 19-50 years with higher diet quality consumed more serves of vegetables at dinner (mean difference (95 % CI), women; 1·0; 95 % CI (0·7, 1·2); men: 0·9; 95 % CI (0·6, 1·3)) and fewer serves of discretionary foods at snacks (women: -0·7; 95 % CI (-0·9, -0·5); men: -1·0; 95 % CI (-1·4, -0·7). Other food groups, such as grains, dairy products and alternatives, meats and alternatives, were not significantly different between adults with lower and higher diet quality, across any eating occasions and age groups. Discretionary food intake at lunch, dinner and snacks was consistently greater among adults with lower diet quality, regardless of education level. Our findings identify dinner and snacks as opportunities to increase vegetable intake and reduce discretionary food intake, respectively.

Meat or meatless meals at lunch and dinner – exploring the associated factors and transition between meals

This study aimed to explore the factors associated with the consumption of meat vs. meatless meals and to assess the applicability of a multi-state model to describe transitions between lunch and dinner. Fifteen thousand four hundred and eight main meals (lunch and dinner) from a sample of adults (18-84 years, n = 3852) from the Portuguese Food, Nutrition and Physical Activity Survey (IAN-AF 2015-2016) were categorised as meat, fish, ovolactovegetarian or snack. Adjusted generalised-mixed-effects models were used to explore the associations and a time-homogeneous Markov-multi-state model was applied to study the transitions. Women, older and higher educated individuals presented higher odds of consuming meatless meals and lower hazard of transitioning to meat in the following main meal. Strategies for replacing meat with more sustainable foods should be specific towards different population groups. Studying transitions across main meals, using multi-state models, can support the development of feasible, realistic and group-specific strategies to replace meat and promote dietary variety.

Age-related muscle anabolic resistance: inevitable or preventable?

Age-related loss of muscle mass, strength, and performance, commonly referred to as sarcopenia, has wide-ranging detrimental effects on human health, the ramifications of which can have serious implications for both morbidity and mortality. Various interventional strategies have been proposed to counteract sarcopenia, with a particular emphasis on those employing a combination of exercise and nutrition. However, the efficacy of these interventions can be confounded by an age-related blunting of the muscle protein synthesis response to a given dose of protein/amino acids, which has been termed "anabolic resistance." While the pathophysiology of sarcopenia is undoubtedly complex, anabolic resistance is implicated in the progression of age-related muscle loss and its underlying complications. Several mechanisms have been proposed as underlying age-related impairments in the anabolic response to protein consumption. These include decreased anabolic molecular signaling activity, reduced insulin-mediated capillary recruitment (thus, reduced amino acid delivery), and increased splanchnic retention of amino acids (thus, reduced availability for muscular uptake). Obesity and sedentarism can exacerbate, or at least facilitate, anabolic resistance, mediated in part by insulin resistance and systemic inflammation. This narrative review addresses the key factors and contextual elements involved in reduction of the acute muscle protein synthesis response associated with aging and its varied consequences. Practical interventions focused on dietary protein manipulation are proposed to prevent the onset of anabolic resistance and mitigate its progression.

The Influence of Increased Dairy Product Consumption, as Part of a Lifestyle Modification Intervention, on Diet Quality and Eating Patterns in Female Adolescents with Overweight/Obesity

Our study examined how increased dairy consumption versus habitually low dairy consumption, against a background of healthy eating (and exercise), influenced diet quality, nutrient intake, and snacking in Canadian female adolescents (14.8 ± 2.2 years) with overweight/obesity (OW/OB). We also explored dairy consumption patterns in the group consuming dairy products. Participants were randomized into two groups: higher/recommended dairy (RDa; 4 svg/d; n = 24) or low dairy (LDa; 0−2 svg/d; n = 23). Both groups participated in a 12-week, eucaloric, lifestyle modification intervention consisting of exercise training and nutritional counseling. The intervention increased the total Canadian Healthy Eating Index score (p < 0.001) with no differences between groups. The “other food” sub-score improved more in RDa than LDa (p = 0.02), and the “saturated fat” sub-score increased more in LDa than RDa (p = 0.02). The intervention significantly increased the consumption of dairy-related nutrients more in RDa than LDa (p < 0.05). The intervention also decreased snack size in both groups (p = 0.01) and improved percentage of healthy snack energy intake more in RDa than LDa (p = 0.04). More servings of dairy products were consumed as snacks than at breakfast, lunch, or dinner (p < 0.05). Thus, our study improved diet quality, and dairy product consumption improved intakes of key related nutrients and snack consumption in adolescents with OW/OB.

The energy density of meals and snacks consumed by young Australian adults (18-30 years old) are influenced by preparation location but not screen use nor social interactions: findings from the MYMeals wearable camera study

The present study examined the association of contextual factors (social and food preparation location) with the energy density of meals and snacks consumed in a sample of young Australian adults (18-30 years old) identified using wearable camera technology. Over three consecutive days, a subsample of young adults wore a wearable camera that captured images in 30 s intervals. Eating episodes from 133 participants were annotated for preparation location and social context (covering social interaction and screen use). Over the same period, participants completed daily 24 h recalls. The nutritional composition of meals and snacks was calculated by matching the items identified in the camera to the 24 h recall using time and date stamps. Self-reported data (weight and height) was used to calculate body mass index and (residential postcode) to assign socio-economic status. The association of context and demographic factors with energy density was determined using a mixed linear regression model employing the bootstrap method with bias-corrected and accelerated. In total, 1817 eating episodes were included in the analysis (n 8 preparation unclear and n 15 food components could not be identified excluded). Food prepared within the home was 1⋅1 kJ/g less energy-dense than other preparation locations. Lunches (CI -1⋅7 to -0⋅3) and dinners (CI -1⋅6 to -0⋅5) were both 1⋅0 kJ/g lower in energy density than breakfasts. Snacks were 3⋅5 kJ/g (CI 2⋅8-4⋅1) more energy-dense than breakfasts. Food prepared outside the home and food consumption during snacking appear to be adversely contributing to energy-dense food intake.

A Nudge-Inspired AI-Driven Health Platform for Self-Management of Diabetes

Diabetes mellitus is a serious chronic disease that affects the blood sugar levels in individuals, with current predictions estimating that nearly 578 million people will be affected by diabetes by 2030. Patients with type II diabetes usually follow a self-management regime as directed by a clinician to help regulate their blood glucose levels. Today, various technology solutions exist to support self-management; however, these solutions tend to be independently built, with little to no research or clinical grounding, which has resulted in poor uptake. In this paper, we propose, develop, and implement a nudge-inspired artificial intelligence (AI)-driven health platform for self-management of diabetes. The proposed platform has been co-designed with patients and clinicians, using the adapted 4-cycle design science research methodology (A4C-DSRM) model. The platform includes (a) a cross-platform mobile application for patients that incorporates a macronutrient detection algorithm for meal recognition and nudge-inspired meal logger, and (b) a web-based application for the clinician to support the self-management regime of patients. Further, the platform incorporates behavioral intervention techniques stemming from nudge theory that aim to support and encourage a sustained change in patient lifestyle. Application of the platform has been demonstrated through an illustrative case study via two exemplars. Further, a technical evaluation is conducted to understand the performance of the MDA to meet the personalization requirements of patients with type II diabetes.

Characterisation of breakfast, lunch, dinner and snacks in the Japanese context: an exploratory cross-sectional analysis

OBJECTIVE

To characterise different meal types by examining the contribution of specific meals to the total intakes and the nutritional quality of each meal.

DESIGN

A cross-sectional analysis was conducted based on dietary data collected using 4-d dietary record. Diet quality was assessed by the Healthy Eating Index-2015 and Nutrient-Rich Food Index 9.3.

SETTING

Japan.

PARTICIPANTS

Adults aged 20-81 years (n 639).

RESULTS

Diet quality was, on average, highest for dinner, followed, in order, by lunch, breakfast and snacks. Breakfast, lunch, dinner and snacks, on average, accounted for 21 %, 32 %, 40 % and 11 % of total energy intake, respectively. For many nutrients, the percentage contribution to total intake did not vary within each meal, broadly in line with that for energy: 18-24 % for breakfast, 26-35 % for lunch, 35-49 % for dinner and 4-15 % for snacks. However, intakes of many foods largely depended on one meal type. The foods mainly eaten at dinner were potatoes, pulses, total vegetables, fish, meat and alcoholic beverages (52-70 %), in contrast to noodles (58 %) at lunch and bread (71 %) and dairy products (50 %) at breakfast. The foods mainly eaten at snacks were confectioneries (79 %) and sugar-sweetened beverages (52 %). Conversely, rice and eggs were more evenly distributed across three main meals (19-41 % and 30-38 %, respectively), while fruit and non-energetic beverages were more evenly distributed across all meal types (17-30 % and 19-35 %, respectively).

CONCLUSIONS

These findings provide the background information on each meal type in Japanese and may help inform the development of meal-based guidelines and public health messages.

Parental work hours and household income as determinants of unhealthy food and beverage intake in young Australian children

OBJECTIVE

This study examined parental work hours and household income as determinants of discretionary (energy dense, nutrient poor) food and beverage intake in young children, including differences by eating occasion.

DESIGN

Secondary analysis of cross-sectional data. Three hierarchical regression models were conducted with percent energy from discretionary food and beverages across the day, at main meals, and at snack times being the outcomes. Dietary intake was assessed by 1x24-hour recall and 1-2x24-hour food record(s). Both maternal/paternal work hours were included, and total household income. Covariates included household, parent and child factors.

SETTING

Data from the NOURISH/SAIDI studies were collected between 2008-13.

PARTICIPANTS

Participants included 526 mother-child dyads (median(IQR) child age 1.99(1.96,2.03) years). Forty-one percent of mothers did not work while 57% of fathers worked 35-40 hours/week. Most (85%) households had an income of ≥$50k AUD/year.

RESULTS

Household income was consistently inversely associated with discretionary energy intake (β= -0.12 to -0.15). Maternal part-time employment (21-35 hours/week) predicted child consumption of discretionary energy at main meals (β=0.10, p=0.04). Paternal unemployment predicted a lower proportion of discretionary energy at snacks (β= -0.09, p=0.047).

CONCLUSIONS

This work suggests that household income should be addressed as a key opportunity-related barrier to healthy food provision in families of young children. Strategies to reduce the time burden of healthy main meal provision may be required in families where mothers juggle longer part-time working hours with caregiving and domestic duties. The need to consider the role of fathers and other parents/caregivers in shaping children's intake was also highlighted.

Relative validity and reliability of a novel diet quality assessment tool for athletes: the Athlete Diet Index

Diet quality indices are a practical, cost-effective method to evaluate dietary patterns, yet few have investigated diet quality in athletes. This study describes the relative validity and reliability of the recently developed Athlete Diet Index (ADI). Participants completed the electronic ADI on two occasions, 2 weeks apart, followed by a 4-d estimated food record (4-dFR). Relative validity was evaluated by directly comparing mean scores of the two administrations (mAdm) against scores derived from 4-dFR using Spearman's rank correlation coefficient and Bland-Altman (B-A) plots. Construct validity was investigated by comparing mAdm scores and 4-dFR-derived nutrient intakes using Spearman's coefficient and independent t test. Test-retest reliability was assessed using paired t test, intraclass correlation coefficients (ICC) and B-A plots. Sixty-eight elite athletes (18·8 (sd 4·2) years) from an Australian sporting institute completed the ADI on both occasions. Mean score was 84·1 (sd 15·2; range 42·5-114·0). The ADI had good reliability (ICC = 0·80, 95 % CI 0·69, 0·87; P < 0·001), and B-A plots (mean 1·9; level of agreement -17·8, 21·7) showed no indication of systematic bias (y = 4·57-0·03 × x) (95 % CI -0·2, 0·1; P = 0·70). Relative validity was evaluated in fifty athletes who completed all study phases. Comparison of mAdm scores with 4-dFR-derived scores was moderate (rs 0·69; P < 0·001) with no systematic bias between methods of measurement (y = 6·90-0·04 × x) (95 % CI -0·3, 0·2; P = 0·73). Higher scores were associated with higher absolute nutrient intake consistent with a healthy dietary pattern. The ADI is a reliable tool with moderate validity, demonstrating its potential for application to investigate the diet quality of athletes.

Food group intake at self-reported eating occasions across the day: secondary analysis of the Australian National Nutrition Survey 2011-2012

OBJECTIVE

To examine core and discretionary food and beverage intake at eating occasions, and to explore the variation in consumption by age and gender in Australian adults and children.

DESIGN

The study utilised one 24-h dietary recall with self-reported eating occasions from a nationally representative sample of Australians. Average servings of each food group for age and gender subpopulations were compared with the Australian Dietary Guidelines. The percentage contribution of each eating occasion to total daily food group intake and typical composition of eating occasions were described. Frequently consumed discretionary foods were reported for eating occasions by age and gender.

SETTING

2011-2012 Australian National Nutrition and Physical Activity Survey.

PARTICIPANTS

12 153 Australian people aged 2 years and above.

RESULTS

Grains were consumed in equal proportions throughout the day across all age and gender subgroups, while remaining core food groups were unequally distributed, featuring more prominently at specific eating occasions. Children consumed two-thirds of their fruit intake as snacks, and up to three quarters of adults' vegetable and meat intake was consumed at dinner. Children consumed more of their discretionary intake at mid-meals, while adults consumed a greater proportion as part of a main meal.

CONCLUSIONS

The present study provides a detailed understanding about when food groups are consumed, the 'typical' meal composition across the day, and how consumption patterns and compliance with dietary guidelines differ by age group and gender. These findings can assist in developing more specific nutrition messages which may help to achieve greater improvements in population dietary intake.

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 (P_trend < 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.

Vegetable intake in Australian children and adolescents: the importance of consumption frequency, eating occasion and its association with dietary and sociodemographic factors

OBJECTIVE

We aimed to profile vegetable consumption and its association with dietary and sociodemographic factors.

DESIGN

Secondary analysis of a nationally representative nutrition survey. 'Vegetables' refers to non-discretionary 'vegetables and legumes/beans' as defined by the Australian Dietary Guidelines (ADG). Prevalence of vegetable consumption, frequency of intake, proportion meeting ADG recommendations, most popular food groups, intake at each reported eating occasion, and the profile of high and low vegetable consumers (based on the median servings) were determined.

SETTING

Australian 2011-2012 National Nutrition and Physical Activity Survey.

PARTICIPANTS

Children and adolescents aged 2 to 18 years (n 2812).

RESULTS

Vegetables were consumed by 83·0% (95% CI 81·6, 84·4%) of participants, but the median vegetable servings was less than a third of the ADG recommendations. 'Leaf and stalk vegetables' and 'potatoes' were the most popular vegetable-dense food groups at lunch and dinner, respectively. Sixty-four percent had vegetables once a day, and predominantly at dinner. Vegetable frequency was positively associated with daily vegetable servings and variety. Participants who consumed vegetables twice a day generally had vegetables at both lunch and dinner and had nearly double the servings (2·6, sd 1·9) of those who consumed them once (1·5, sd 1·5). High vegetable consumers were older, had higher total energy, but lower discretionary energy intake and were less likely to be at risk of metabolic complications.

CONCLUSION

Increasing the frequency of vegetable consumption may assist with increasing daily vegetable servings. A focus on consuming vegetables at lunch may assist with increasing both total servings and variety.

The comparative validity of a brief diet screening tool for adults: The Fruit And Vegetable VAriety index (FAVVA)

BACKGROUND & AIMS

A brief assessment tool on frequency and variety of fruit and vegetable intake could provide a cost-effective and sustainable approach to improving diet. The primary aim was to evaluate the comparative validity of a brief index of Fruit And Vegetable VAriety (FAVVA) relative to food and nutrient intakes derived from a comprehensive food frequency questionnaire (FFQ). The secondary aim was to evaluate the FAVVA index in relation to fasting plasma carotenoid concentrations.

METHODS

Dietary intakes and fasting plasma carotenoid concentrations of 99 overweight and obese adults (49.5% female; 44.6 ± 9.9 years) were assessed at baseline and 3-months. Food and nutrient intakes were assessed using the Australian Eating Survey (AES) FFQ. The FAVVA index was derived from a sub-set of 35 AES questions related to fruit and vegetable intake frequency and variety. Associations were assessed using Spearman's correlation coefficients and linear regression analysis, and agreement using weighted kappa (K_w).

RESULTS

Total FAVVA score demonstrated moderate to strong, significant (all p < 0.01) correlations with total daily intakes of vegetables (r = 0.75), vitamin C (r = 0.71), fruit (r = 0.66), vitamin A (r = 0.49), fibre (r = 0.49), potassium (r = 0.46), magnesium (r = 0.39), iron (r = 0.26), riboflavin (r = 0.24), calcium (r = 0.23), zinc (r = 0.20) and niacin equivalent (r = 0.20). These associations remained significant in the adjusted regression analyses and agreement testing. Total FAVVA was significantly correlated with plasma carotenoid concentrations (μg/dL) of α-carotene (r = 0.22, p < 0.01), β-carotene (r = 0.26, p < 0.001), β-cryptoxanthin (r = 0.22, p < 0.01) and total carotenoids (r = 0.18, p < 0.05). The associations with α-carotene (β = 0.09, p < 0.001), β-carotene (β = 0.42, p < 0.05) and total plasma carotenoids (β = 0.85, p < 0.05) remained significant in the adjusted regression analyses and for agreement testing.

CONCLUSIONS

FAVVA is suitable as a brief tool to rank frequency and variety of fruit and vegetable intake.

Dietary Fibre Intake in Australia. Paper II: Comparative Examination of Food Sources of Fibre among High and Low Fibre Consumers

Intakes of dietary fibre in Australia are lower than recommended. An understanding of food choices associated with fibre intake can help to inform locally relevant dietary interventions that aim to increase its consumption. This study aimed to profile the relationship between dietary choices and fibre intake of Australians. Using Day 1 data from the 2011–2012 National Nutrition and Physical Activity Survey (n = 12,153, ≥2 years), dietary fibre intake was classified by quartiles for children (2–18 years) and adults (≥19 years). Intakes of the Australian Dietary Guidelines (ADG) food groups were calculated, as well as the major, sub-major, and minor food groups from the Australian Food Composition Database. Each of these food groups provide a progressively greater level of detail. Associations with ADG food groups and major food groups were determined, and the leading sub-major and minor food group sources of fibre for low (Quartile 1) and high (Quartile 4) fibre consumers were profiled. Energy-adjusted intakes of wholegrain and/or high fibre but not refined grain (cereal) foods, vegetables, and fruit were positively associated, and discretionary foods negatively associated, with quartile of fibre intake (p < 0.001). The top three sub-major food group sources of fibre were regular breads, cereal mixed dishes, and ready-to-eat breakfast cereals in high fibre consumers and regular breads, cereal mixed dishes, and potatoes in low fibre consumers. White breads was the leading minor food group contributor in low fibre consumers, and apples and lower sugar wheat based breakfast cereal were the leading fibre contributors in high fibre consumers in children and adults, respectively. Higher intakes of wholegrain, fruits, and vegetables, and a lower discretionary intake were associated with higher fibre intake. Encouraging these foods as part of any public health intervention is likely to be effective for increasing dietary fibre intakes.

Identifying usual food choices at meals in overweight and obese study volunteers: implications for dietary advice

Understanding food choices made for meals in overweight and obese individuals may aid strategies for weight loss tailored to their eating habits. However, limited studies have explored food choices at meal occasions. The aim of this study was to identify the usual food choices for meals of overweight and obese volunteers for a weight-loss trial. A cross-sectional analysis was performed using screening diet history data from a 12-month weight-loss trial (the HealthTrack study). A descriptive data mining tool, the Apriori algorithm of association rules, was applied to identify food choices at meal occasions using a nested hierarchical food group classification system. Overall, 432 breakfasts, 428 lunches, 432 dinners and 433 others (meals) were identified from the intake data (n 433 participants). A total of 142 items of closely related food clusters were identified at three food group levels. At the first sub-food group level, bread emerged as central to food combinations at lunch, but unprocessed meat appeared for this at dinner. The dinner meal was characterised by more varieties of vegetables and of foods in general. The definitions of food groups played a pivotal role in identifying food choice patterns at main meals. Given the large number of foods available, having an understanding of eating patterns in which key foods drive overall meal content can help translate and develop novel dietary strategies for weight loss at the individual level.