Discretionary Food Intake Research Articles

Psychological distress and its association with intake of sugar-sweetened beverages, discretionary foods, and alcohol in women during the COVID-19 pandemic in Australia

ObjectivesThis study aimed to explore psychological distress, lifestyle, and demographic factors, as well as their relationship to discretionary choices in women of reproductive age during the coronavirus disease 2019 pandemic in Australia. MethodsReproductive-aged women (18–50 y) in Australia participated in a national online survey. Psychological distress score (using a validated 10-item Kessler Psychological Distress Scale questionnaire) was the primary exposure of interest, and key outcomes were frequencies of discretionary choices (sugar-sweetened beverages [SSBs], alcohol, and discretionary foods). Sociodemographic and physical activity data were also collected. Logistic regression was used to report adjusted odds ratio (aOR) and 95% confidence interval to predict SSBs (less than weekly; most days/daily), total discretionary foods (none/<2 times/d; ≥3 times/d), and alcohol use (never/less than monthly; most weeks/daily). ResultsA total of 1005 women were included in the study, of whom 40% had a high level of psychological distress. Women with high psychological distress (aOR: 1.96; 95% CI, 1.32–2.91) and those who gained weight during the pandemic (aOR: 1.71; 95% CI, 1.10–2.65) were more likely to consume discretionary foods ≥3 times/d. There was no association between psychological distress and SSB intake or alcohol; however, Australian, New Zealander, or Pacific Islander background (aOR: 1.68; 95% CI, 1.21–2.33) and more hours of sitting time (aOR: 1.88; 95% CI, 1.07–3.29) were associated with SSB consumption on most days/daily. Older age (aOR: 1.70; 95% CI, 1.00–2.89), higher household income (aOR: 1.44; 95% CI, 1.08–1.92), and moderate or high physical activity (aOR: 1.75; 95% CI, 1.10–2.80) were associated with alcohol intake on most weeks/daily. ConclusionsPublic health messaging to promote healthy eating should take into account the effect of psychological distress on health behavior. Messages aimed at maintaining a positive relationship between food intake and mental wellbeing, particularly among vulnerable groups, are warranted.

Diet and risk of Barrett's oesophagus: Melbourne collaborative cohort study.

Barrett's oesophagus (BE) is the precursor of oesophageal adenocarcinoma, which has become the most common type of oesophageal cancer in many Western populations. Existing evidence on diet and risk of BE predominantly comes from case-control studies, which are subject to recall bias in measurement of diet. We aimed to investigate the potential effect of diet, including macronutrients, carotenoids, food groups, specific food items, beverages and dietary scores, on risk of BE in over 20000 participants of the Melbourne Collaborative Cohort Study. Diet at baseline (1990-1994) was measured using a food frequency questionnaire. The outcome was BE diagnosed between baseline and follow-up (2007-2010). Logistic regression models were used to estimate OR and 95 % CI for diet in relation to risk of BE. Intakes of leafy vegetables and fruit were inversely associated with risk of BE (highest v. lowest quartile: OR = 0·59; CI: 0·38, 0·94; P-trend = 0·02 and OR = 0·58; CI: 0·37, 0·93; P-trend = 0·02 respectively), as were dietary fibre and carotenoids. Stronger associations were observed for food than the nutrients found in them. Positive associations were observed for discretionary food (OR = 1·54; CI: 0·97, 2·44; P-trend = 0·04) and total fat intake (OR per 10 g/d = 1·11; CI: 1·00, 1·23), the association for fat was less robust in sensitivity analyses. No association was observed for meat, protein, dairy products or diet scores. Diet is a potential modifiable risk factor for BE. Public health and clinical guidelines that incorporate dietary recommendations could contribute to reduction in risk of BE and, thereby, oesophageal adenocarcinoma.

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.

The Profiling of Diet and Physical Activity in Reproductive Age Women and Their Association with Body Mass Index.

Pre-pregnancy, pregnancy and postpartum are critical life stages associated with higher weight gain and obesity risk. Among these women, the sociodemographic groups at highest risk for suboptimal lifestyle behaviours and core lifestyle components associated with excess adiposity are unclear. This study sought to identify subgroups of women meeting diet/physical activity (PA) recommendations in relation to sociodemographics and assess diet/PA components associated with body mass index (BMI) across these life stages. Cross-sectional data (Australian National Nutrition and Physical Activity Survey 2011–2012) were analysed for pre-pregnancy, pregnant and postpartum women. The majority (63–95%) of women did not meet dietary or PA recommendations at all life stages. Core and discretionary food intake differed by sociodemographic factors. In pre-pregnant women, BMI was inversely associated with higher whole grain intake (β = −1.58, 95% CI −2.96, −0.21; p = 0.025) and energy from alcohol (β = −0.08, −0.14, −0.005; p = 0.035). In postpartum women, BMI was inversely associated with increased fibre (β = −0.06, 95% CI −0.11, −0.004; p = 0.034) and PA (β = −0.002, 95% CI −0.004, −0.001; p = 0.013). This highlights the need for targeting whole grains, fibre and PA to prevent obesity across life stages, addressing those most socioeconomically disadvantaged.

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.

Dietary patterns, genetic risk, and incidence of obesity: Application of reduced rank regression in 11,735 adults from the UK Biobank study

Few studies have derived dietary patterns based on intake of discretionary foods and beverages and examined associations with genetic risk and obesity. We examined associations between dietary patterns based on discretionary foods, saturated fatty acids (SFA), and fiber, with a polygenetic risk score (PRS) for obesity and risk of overall obesity, central obesity and high body fat (BF) up to 9.7 years later. Data from 11,735 adults from the UK Biobank cohort study were used. Dietary patterns were derived from 24-h dietary assessments using reduced rank regression (response variables: discretionary foods and beverages [%E]; SFA [%E]; fiber density [g/MJ]). Cox proportional hazard models were used to investigate associations between dietary patterns and incident overall obesity, central obesity and high BF, with interactions by PRS. Three dietary patterns (DP) were identified. DP1, correlated positively with discretionary foods and SFA, inversely with fiber, was associated with higher risk of central obesity (hazard ratio: 1.08; 95% confidence interval: 1.02, 1.14). DP2, correlated positively with discretionary foods and fiber, inversely with SFA, was not associated with obesity incidence. DP3, correlated positively with SFA and fiber, inversely with discretionary foods, was associated with lower risk of central obesity (hazard ratio: 0.92; 95% confidence interval: 0.87, 0.98). There was limited evidence of interactions with PRS. A dietary pattern high in high-SFA and low-fiber discretionary foods and beverages was associated with higher risk of obesity, independent of genetic predisposition.

Associations between dietary patterns, FTO genotype and obesity in adults from seven European countries

PurposeHigh-fat and low-fibre discretionary food intake and FTO genotype are each associated independently with higher risk of obesity. However, few studies have investigated links between obesity and dietary patterns based on discretionary food intake, and the interaction effect of FTO genotype are unknown. Thus, this study aimed to derive dietary patterns based on intake of discretionary foods, saturated fatty acids (SFA) and fibre, and examine cross-sectional associations with BMI and waist circumference (WC), and interaction effects of FTO genotype.MethodsBaseline data on 1280 adults from seven European countries were included (the Food4Me study). Dietary intake was estimated from a Food Frequency Questionnaire. Reduced rank regression was used to derive three dietary patterns using response variables of discretionary foods, SFA and fibre density. DNA was extracted from buccal swabs. Anthropometrics were self-measured. Linear regression analyses were used to examine associations between dietary patterns and BMI and WC, with an interaction for FTO genotype.ResultsDietary pattern 1 (positively correlated with discretionary foods and SFA, and inversely correlated with fibre) was associated with higher BMI (β:0.64; 95% CI 0.44, 0.84) and WC (β:1.58; 95% CI 1.08, 2.07). There was limited evidence dietary pattern 2 (positively correlated with discretionary foods and SFA) and dietary pattern 3 (positively correlated with SFA and fibre) were associated with anthropometrics. FTO risk genotype was associated with higher BMI and WC, with no evidence of a dietary interaction.ConclusionsConsuming a dietary pattern low in discretionary foods and high-SFA and low-fibre foods is likely to be important for maintaining a healthy weight, regardless of FTO predisposition to obesity.Trial registrationClinicaltrials.gov NCT01530139. Registered 9 February 2012 https://clinicaltrials.gov/ct2/show/NCT01530139

Relationship between discretionary food intake and sex, body image, health, and geographical remoteness among Indigenous Australian adolescents.

Determine the discretionary energy intake of Indigenous Australian adolescents and its relationship with sex, body image, health, and geographical remoteness. Cross-sectional data from the 2012 to 2013 National Aboriginal and Torres Strait Islander Nutrition and Physical Activity Survey (n= 264, 15-17 years). Dietary data were collected using an Automated Multiple-Pass Method, anthropometric data by trained interviewers; self-perceived measures of body weight, level of satisfaction with current weight, and self-assessed health were self-reported. General linear models were used to investigate predictors. Discretionary energy intake contributed 35.4% and 54.2% of total energy intake for males and females, respectively, primarily from the sub-groups: soft drinks; pastries; potatoes; sugar, honey and syrups; cordials; and potato snacks. Discretionary energy intake was associated with higher energy intake (p< 0.001) and self-perceived body weight (p= 0.022), while sex had significant interactions with self-assessed health (psex = 0.005), satisfaction with current weight (psex < 0.001), and geographical remoteness (psex = 0.007). Contribution of discretionary energy intake to total energy intake was greatest for males with an increased risk of metabolic complications (50% vs. 37%; p> 0.05), those who perceived themselves to be overweight (56% vs. 27%; p< 0.001), and those who were dissatisfied with their weight (56% vs. 19%; p< 0.001), compared to females. No differences were found by dieting status, risk of metabolic complications, and under-reporting of energy intake. Discretionary energy intake was excessive among Indigenous Australian adolescents and had relationships with self-perceived health, weight satisfaction, and geographical remoteness, which was moderated by sex. To successfully reduce discretionary food intake among Indigenous Australian adolescents, further research is required to develop sex specific and culturally appropriate strategies.

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.

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

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

The Australian Feeding Infants and Toddlers Study (OzFITS) 2021: Study Design, Methods and Sample Description.

(1) Background: Caregiver feeding practices during the first two years of a child’s life influence nutrition, growth, and development, as well as long term taste preferences and dietary patterns. Suboptimal feeding practices lead to poorer health outcomes, such as obesity, that persist into adulthood. Although the importance of early life nutrition is well-established, there are no Australia-wide surveys of dietary intakes of children under two years of age. The 2021 Australian Feeding Infants and Toddlers Study (OzFITS) aims to fill this gap. This paper describes the methods and study sample of OzFITS 2021. (2) Methods: OzFITS 2021 is a cross-sectional study of children aged 0 to 23.9 months of age and their caregiver across Australia. Data were collected between April 2020 and April 2021. A telephone-based survey was completed with a caregiver to obtain information on child and caregiver characteristics and feeding practices. For exclusively breastfed infants, the number of breastfeeds in a 24 h period was reported. Dietary intakes for mixed fed children were estimated using a one-day food record, with 30% of caregivers completing a second food record on a non-consecutive day. (3) Results: We enrolled 1140 caregiver and child dyads. Of those eligible to complete a food record, 853 (87%) completed the food record. Compared to the Australian population, caregivers were more likely to be university-educated (>75%), married or in a de facto relationship (94%), and have a household income >$100,000/y (60%). (4) Conclusions: OzFITS 2021 is the first national study to examine food and nutrient intake in Australian children aged under 2 years. The study will provide information on breastfeeding rates and duration, use of breast milk substitutes, and timing of solid food introduction. Dietary intake data will allow the comparison of core food groups and discretionary food intake to Australian guidelines and estimate the prevalence of inadequate intake of key nutrients, like iron. Healthcare practitioners and policymakers can use the study findings as a source of evidence to inform the next iteration of infant feeding guidelines.

Pesticide Toxicity Footprints of Australian Dietary Choices.

Pesticides are widely used in food production, yet the potential harm associated with their emission into the environment is rarely considered in the context of sustainable diets. In this study, a life cycle assessment was used to quantify the freshwater ecotoxicity, human toxicity carcinogenic effects, and human toxicity noncarcinogenic effects associated with pesticide use in relation to 9341 individual Australian adult daily diets. The three environmental indicators were also combined into a pesticide toxicity footprint, and a diet quality score was applied to each diet. Energy-dense and nutrient-poor discretionary foods, fruits, and protein-rich foods were the sources of most of the dietary pesticide impacts. Problematically, a dietary shift toward recommended diets was found to increase the pesticide toxicity footprint compared to the current average diet. Using a quadrant analysis, a recommended diet was identified with a 38% lower pesticide toxicity footprint. This was achieved mainly through a reduction in the discretionary food intake and by limiting the choice of fresh fruits. As the latter contradicts dietary recommendations to eat a variety of fruits of different types and colors, we concluded that dietary change may not be the best approach to lowering the environmental impacts of pesticides in the food system. Instead, targeted action in the horticultural industry may be more effective. Consumers might encourage this transition by supporting growers that reduce pesticide use and apply less environmentally harmful active ingredients.

Diet Quality following Total Meal Replacement Compared with Food-Based Weight-Loss Diets in Postmenopausal Women with Obesity: A Secondary Analysis of the TEMPO Diet Trial

BackgroundSeverely energy-restricted diets that utilize meal-replacement products are the most effective dietary treatment for obesity. However, there are concerns they may fail to educate individuals on how to adopt a healthy food-based diet after weight loss. ObjectivesThe aim of this research was to compare changes in diet quality following total meal replacement compared with food-based weight-loss diets. MethodsIn this secondary analysis of a randomized controlled trial, 79 postmenopausal women aged 45–65 y, with a BMI (in kg/m2) of 30–40, were randomly assigned to either a total meal-replacement diet (energy intake restricted by 65–75% relative to requirements) for 16 wks, followed by a food-based diet (energy intake restricted by 25–35% relative to requirements) until 52 wks, or the food-based diet for the entire 52-wk period. Diet quality was scored at baseline and 52 wks using the Healthy Eating Index for Australian Adults, with score changes compared between groups using an independent t test. ResultsDiet quality improved from baseline in both groups, but less so in the total meal-replacement group, with a mean (SD) increase of 3.6 (10.8) points compared with 11.8 (13.9) points in the food-based group, resulting in a mean between-group difference of −8.2 (P = 0.004; 95% CI: –13.8, –2.7) points. This improvement in diet quality within both groups was mostly driven by a reduction in the intake of discretionary foods. Intake remained below the recommendations at 52 wks for 4 of the 5 food groups in both dietary interventions. ConclusionsIn postmenopausal women with obesity, weight-loss interventions that involve either a total meal-replacement diet or a food-based diet both improve diet quality, however, not sufficiently to meet recommendations. This highlights the importance of addressing diet quality as a part of all dietary weight-loss interventions. This trial is registered with the Australia and New Zealand Clinical Trials Registry as 12612000651886.

Assessment of macronutrients consumption in the diet of adolescent school children in four seasons: a longitudinal study from an urban city in Pakistan

BackgroundA healthy diet in the adolescence period is essential for physical, mental, and immunological development. We aimed to assess macronutrient consumption in the diet of adolescent school children using 24 h recalls in four seasons of the year.MethodThis was a longitudinal study conducted from February 2014 to June 2015. The study population included 155 school children aged 7–14 years from an urban school in Karachi. 24HR recall was conducted on 4 random days of the 4 main seasons. A food composition table was developed where the weight, calories, carbohydrate, fat, and protein content of the food items were listed. Macronutrients quantification was calculated by using proportional weight from the food composition table. Food groups were also assigned to each food item including vegetables, fruits, grains, protein foods, dairy products, and oils.ResultsA total of 155 adolescent children aged between 7 and 14 years were approached. Out of the 155 preadolescents and adolescents, 150 (96.7%) agreed to participate. The mean (SD) age of the children was 11.31 (1.6) years, and 59% of all the children were males. Overall mean (SD) daily intake for all seasons was 195.31 (86.87) grams of carbohydrates, 94.77 (71.87) grams of proteins, and 55.87 (30.79) grams of fats. Carbohydrates formed 48.16%, protein 21.92%, and fat 29.93% of the total caloric intake. The mean (SD) daily caloric intake was 1517 (644) grams. Overall, the highest source of calories was from carbohydrate 781 (347) Kilocalories (Kcal), followed by fat 502 (277) Kcal and protein 379 (287). The Carbohydrate intake in 24 h was highest in the autumn; 212.81 (85.37), and there was a significant difference in carbohydrate intake in all seasons (p value 0.003). Consumption of discretionary food group was high (31.3%), and consumption of fruits and vegetables was low (29%).ConclusionThe study reports a suboptimal caloric intake of fewer than 2000 cal/day among the adolescents from school. The highest source of calories was from carbohydrates.The highest consumption of food was in autumn and the least in summer. Fruits and vegetable intake was low, and discretionary food intake was high.

Association between food-outlet availability near secondary schools and junk-food purchasing among Australian adolescents

ObjectivesWe sought to investigate the association between food-outlet availability near Australian secondary schools and frequency of Australian students’ discretionary food purchases. MethodsSecondary-school students in Perth (Western Australia) reported the frequency of their discretionary food purchases from food outlets near their school (17 schools, n = 2389 students grades 7–12, ages 12–17 y). Food-outlet availability was sourced from local governments, then geocoded. A mixed-effects model was used in analyses. ResultsAlmost half of students (45%) purchased discretionary foods from food outlets near their secondary school at least weekly. Only the density of top-ranking fast-food chain outlets near secondary schools was associated with a significant increase in the frequency of discretionary food purchases. ConclusionsAvailability of major fast-food chains near Australian secondary schools appears to be a key driver of Australian students’ discretionary food purchasing. Restricting these outlets near schools may help reduce adolescents’ discretionary food intake.

Early life and socio-economic determinants of dietary trajectories in infancy and early childhood \u2013 results from the HSHK birth cohort study

BackgroundEarly childhood is a period when dietary behaviours are established. This study aimed to examine the longitudinal intake of core and discretionary foods and identify early life and socio-economic factors influencing those intakes.MethodsMother-infant dyads (n = 934) from the Healthy Smiles Healthy Kids study, an ongoing birth cohort study, were interviewed. The information on ‘weekly frequency of core and discretionary foods intake’ using a food frequency questionnaire was collected at 4 months, 8 months, 1 year, 2 years and 3 years age points. Group-based trajectory modelling analyses were performed to identify diet trajectories for ‘core’ and ‘discretionary’ foods respectively. A multinomial logistic regression was performed to identify the maternal and child-related predictors of resulting trajectories.ResultsThe intake of core and discretionary foods each showed distinct quadratic (n = 3) trajectories with age. Overall, core foods intake increased rapidly in the first year of life, followed by a decline after age two, whereas discretionary foods intake increased steadily across the five age points. Multiparity (Relative Risk (RR): 0.46, 95%CI: 0.27–0.77), non-English speaking ethnicity of mother (RR: 0.66, 95%CI: 0.47–0.91) and having a single mother (RR: 0.40, 95%CI: 0.18–0.85) were associated with low trajectories of core foods intake whereas older maternal age (RR: 1.05, 95%CI: 1.01–1.08) and longer breastfeeding duration (RR: 1.02, 95%CI: 1.00–1.03) were associated with higher trajectories of core foods intake. Also, multiparity (RR 2.63, 95%CI: 1.47–4.70), low maternal education (RR 3.01, 95%CI: 1.61–5.65), and socio-economic disadvantage (RR 2.69, 95%CI: 1.31–5.55) were associated with high trajectories of discretionary foods intake. Conversely, longer duration of breastfeeding (RR 0.99, 95%CI: 0.97–0.99), and timely introduction of complementary foods (RR 0.30, 95%CI: 0.15–0.61) had a protective effect against high discretionary foods consumption in infancy and early childhood.ConclusionChildren’s frequency of discretionary foods intake increases markedly as they transition from infancy to preschool age, and the trajectories of intake established during early childhood are strongly influenced by socio-demographic factors and infant feeding choices. Hence, there is a need for targeted strategies to improve nutrition in early childhood and ultimately prevent the incidence of chronic diseases in children.

197Assessment of Depression, Anxiety and Fatigue in relation to diet quality in Multiple Sclerosis

Abstract Background Many people with multiple sclerosis (MS) modify their dietary intake, but there is low evidence that this influences MS disease activity or progression. We examined whether indices of diet quality (Dietary Quality Tracker and Australian Recommended Food Score) were associated with depression, anxiety and fatigue using a prospective cohort. Methods The Auslong Study participants were followed annually for 10 years (n = 223 with MS at 10 years). Depression &amp; anxiety (Hospital Anxiety &amp; Depression Scale, HADS) and fatigue (Fatigue Severity Scale) were assessed at the 5th and 10th-year reviews. Dietary intake in the preceding 12 months using the Cancer Council Victoria Food Frequency Questionnaire was assessed at the baseline, 5th and 10th year reviews. Results Overall diet quality at the 5th-year review was not associated with a change in depression, anxiety or fatigue in the subsequent 5 years. However, a higher intake of protein, grain and discretionary foods at the 5th-year review using the Dietary Quality Tracker were associated with an increase in HADS depression score over the subsequent 5 years (e.g. highest vs lowest quartile protein: β=2.14,95%CI=0.91,3.37,p&amp;lt;0.001). Also, a higher legume intake at the 5th-year review was associated with a decrease in HADS anxiety score over the subsequent 5 years( e.g. highest vs lowest quartile: β=-1.92,95%CI=-3.32,-0.53,p=0.01). Conclusion Overall diet quality was not associated with a subsequent change in depression, anxiety or fatigue over 5-years but some specific food groups were associated with depression and anxiety. Replication is required before testing these findings with diet intervention programs in people with MS. Key messages Overall diet quality was not associated with 5-year change in depression, anxiety and fatigue in people with MS. However, some individual food groups were associated with a change in depression and anxiety.

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.

A comparison of children's diet and movement behaviour patterns derived from three unsupervised multivariate methods.

BackgroundBehavioural patterns are typically derived using unsupervised multivariate methods such as principal component analysis (PCA), latent profile analysis (LPA) and cluster analysis (CA). Comparability and congruence between the patterns derived from these methods has not been previously investigated, thus it’s unclear whether patterns from studies using different methods are directly comparable. This study aimed to compare behavioural patterns derived across diet, physical activity, sedentary behaviour and sleep domains, using PCA, LPA and CA in a single dataset.MethodsParent-report and accelerometry data from the second wave (2011/12; child age 6-8y, n = 432) of the HAPPY cohort study (Melbourne, Australia) were used to derive behavioural patterns using PCA, LPA and CA. Standardized variables assessing diet (intake of fruit, vegetable, sweet, and savoury discretionary items), physical activity (moderate- to vigorous-intensity physical activity [MVPA] from accelerometry, organised sport duration and outdoor playtime from parent report), sedentary behaviour (sedentary time from accelerometry, screen time, videogames and quiet playtime from parent report) and sleep (daily sleep duration) were included in the analyses. For each method, commonly used criteria for pattern retention were applied.ResultsPCA produced four patterns whereas LPA and CA each generated three patterns. Despite the number and characterisation of the behavioural patterns derived being non-identical, each method identified a healthy, unhealthy and a mixed pattern. Three common underlying themes emerged across the methods for each type of pattern: (i) High fruit and vegetable intake and high outdoor play (“healthy”); (ii) poor diet (either low fruit and vegetable intake or high discretionary food intake) and high sedentary behaviour (“unhealthy”); and (iii) high MVPA, poor diet (as defined above) and low sedentary time (“mixed”).ConclusionWithin this sample, despite differences in the number of patterns derived by each method, a good degree of concordance across pattern characteristics was seen between the methods. Differences between patterns could be attributable to the underpinning statistical technique of each method. Therefore, acknowledging the differences between the methods and ensuring thorough documentation of the pattern derivation analyses is essential to inform comparison of patterns derived through a range of approaches across studies.

Association between diet quality in adolescence and adulthood and knee symptoms in adulthood: a 25-year cohort study.

We aimed to describe associations between diet quality in adolescence and adulthood and knee symptoms in adulthood. Two hundred seventy-five participants had adolescent diet measurements, 399 had adult diet measurements and 240 had diet measurements in both time points. Diet quality was assessed by Dietary Guidelines Index (DGI), reflecting adherence to Australian Dietary Guidelines. Knee symptoms were collected using Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Data were analysed using zero-inflated negative binomial regressions. The overall adolescent DGI was not associated with adult knee symptoms, although lower intake of discretionary foods (e.g. cream, alcohol, bacon and cake) in adolescence was associated with lower pain (mean ratio (MR) 0·96) and dysfunction (MR 0·94). The overall adult DGI was not associated with knee symptoms; however, limiting saturated fat was associated with lower WOMAC (Pain: MR 0·93; stiffness: MR 0·93; dysfunction: MR 0·91), drinking water was associated with lower stiffness (MR 0·90) and fruit intake was associated with lower dysfunction (MR 0·90). Higher DGI for dairy products in adulthood was associated with higher WOMAC (Pain: MR 1·07; stiffness: MR 1·13; dysfunction: MR 1·11). Additionally, the score increases from adolescence to adulthood were not associated with adult knee symptoms, except for associations between score increase in limiting saturated fat and lower stiffness (MR 0·89) and between score increase in fruit intake and lower dysfunction (MR 0·92). In conclusion, the overall diet quality in adolescence and adulthood was not associated with knee symptoms in adulthood. However, some diet components may affect later knee symptoms.