Bioavailability of Australian pre-schooler iron intakes at specific eating occasions is low.

PURPOSE: Poor bioavailability may contribute to iron deficiency among children in high-resource countries, but iron bioavailability of Australian pre-schooler diets is unknown. This study aimed to estimate the bioavailability of Australian pre-schooler iron intakes across the day and by eating occasions to identify optimal timing for intervention, by using five previously developed algorithms, and to estimate the proportion of children with intakes of absorbable iron below the requirements. METHODS: Dietary data of children aged 2 to < 6 y (n = 812) from the 2011-12 National Nutrition and Physical Activity Survey were collected via two 24-h recalls. Usual food and nutrient intakes were estimated via Multiple Source Method. Phytate, polyphenol, and heme iron values were sourced from international databases or the literature. Five previously published algorithms were applied to observed dietary data to estimate iron bioavailability and calculate the prevalence of children with intakes of absorbable iron below requirements. RESULTS: Pre-schooler daily iron bioavailability was low (2.7-10.5%) and corresponded to intakes of 0.18-0.75 mg/d of absorbable iron. The proportion of children with inadequate intakes of absorbable iron ranged between 32 and 98%. For all eating occasions, dinner offered iron of the greatest bioavailability (4.2-16.4%), while iron consumed at breakfast was of the lowest bioavailability (1.2-5.6%). CONCLUSION: Future strategies are required to improve intakes of bioavailable iron for pre-schoolers to prevent the risk of deficiency. These strategies could include the encouragement of concomitant consumption of enhancers of iron absorption with iron-rich sources, particularly at breakfast.

Nutrition environments in early childhood education: do they align with best practice?

OBJECTIVE: To assess the comprehensiveness (scope of nutrition guidance) and strength (clarity of written language) of centre-based nutrition policies (CBNP) within early childhood education (ECE) centres. To also consider the applicability of an existing CBNP assessment tool and policy alignment with best practice food provision and feeding practices. DESIGN: Cross-sectional online study to assess written ECE CNBP using the Wellness Child Care Assessment Tool. SETTING: Licenced ECE centres in the state of Victoria, Australia. PARTICIPANTS: ECE centres (operating at least 8 h per d, 48 weeks per annum), stratified by location (rural and metropolitan), centre management type (profit and not-for-profit) and socio-economic area (low, middle, high). RESULTS: Included individual CBNP (n 118), predominantly from metropolitan centres (56 %) and low-medium socio-economic areas (78 %). Policies had low overall Wellness Child Care Assessment Tool scores, particularly strength scores which were low across all four domains (i.e. nutrition education, nutrition standards, health promotion and communication/evaluation). The nutrition standards domain had the lowest strength score. The communication/evaluation domain had the lowest comprehensiveness score. Content analysis indicated low scores may relate to the Wellness Child Care Assessment Tool applicability for the Australian context due to differences in best practice guidance. CONCLUSION: Despite the presence of written nutrition policies in ECE centres, many showed weak language and lacked comprehensiveness and strength. This may relate to poor implementation of best practice food provision or feeding practices. Low scores, however, may partly stem from using an assessment tool that is not country-specific. The redevelopment of country-specific tools to assess ECE CNBP may be warranted.

The effects of age on associations between pre-school children's eating behaviour traits and diet quality.

Child eating behaviour traits are associated with several aspects of dietary intake of pre-school children, however the associations between child eating behaviour traits and overall dietary quality in pre-school children has not been examined. Additionally, it is unknown how these relationships vary by age. This study examines the associations between child eating behaviour traits and pre-school children's dietary quality and whether children's age moderates these associations. This study utilises cross-sectional online survey data collected from mothers (n = 1367) of pre-school aged children (2-5 years) from across Australia. The survey included a validated measure of four child eating behaviour traits and a validated measure of diet quality. Multiple linear regression assessed associations between child eating behaviour traits and dietary quality, including interactions between child eating behaviour traits and child age. The average age of the children was 3.3 years, with 50.2% reported as males. Enjoyment of food was positively associated with dietary quality (B coefficient: 2.51, p < 0.001). Food fussiness and satiety responsiveness were inversely associated with dietary quality (B coefficients: 2.59 and -2.25, respectively, p < 0.001), while food responsiveness was not related to diet quality. Child age moderated associations between food fussiness and dietary quality (B coefficient: 0.38, p = 0.025). The difference in dietary quality between lower and higher food fussiness is most pronounced among 5-year-old children. In conclusion, this study demonstrates that it is important for future interventions aiming to improve dietary quality of pre-school children to target children with lower food enjoyment, higher food fussiness or satiety responsiveness as possible ways to improve child dietary quality. Future interventions should also have a particular focus on strategies to reduce food fussiness for older preschoolers.

Frequency and distribution of dietary energy, vegetable, fruit and discretionary food intakes in 18-month-old Australian children.

Dietary behaviours in early childhood are understudied despite links with later health. Assessing the distribution of key food groups across the day could identify opportunities for improvements. This study aimed to describe the 24-hourly distribution of dietary intakes and frequency of eating occasions for weekdays and weekend days among children aged 18 months and assess associations of eating frequency with vegetable, fruit and discretionary intakes and zBMI. Using two parent-reported 24-h recalls of child dietary intakes from the Melbourne Infant Feeding Activity and Nutrition Trial (InFANT) Program, mean frequency of daily eating occasions and hourly intake distributions were calculated for vegetables, fruits, discretionary foods, and total foods and energy-containing beverages on weekdays (n 428) and weekend days (n 376). Multivariable regression analyses assessed associations between frequency of eating occasions, total intake of food groups and zBMI. Overall, children had 7·8 ± 1·8 (mean ± sd) eating occasions/d on weekdays, where 1·5 ± 0·8 contained vegetables, 2·2 ± 1·1 contained fruit and 2·5 ± 1·5 contained discretionary foods. Weekend day intakes were similar. Energy intakes were highest at dinner time. Intakes of total foods, fruits and discretionary foods were spread across the day (06.00-22.00). Vegetable consumption was mainly about 18.00 with minimal intake at other times. Eating frequency was associated with amount of food consumed but not consistently with zBMI. These 18-month-old children ate frequently throughout the day, with little distinction between weekdays and weekend days. Most eating occasions lacked vegetables, and frequency of discretionary foods was higher than of vegetables. Promoting vegetable consumption at occasions other than dinner could improve vegetable intake.

Mothers' experiences of reducing family mealtime screen use in Australian households with young children.

OBJECTIVE: Screen use at mealtimes is associated with poor dietary and psychosocial outcomes in children and is disproportionately prevalent among families of low socio-economic position (SEP). This study aimed to explore experiences of reducing mealtime screen use in mothers of low SEP with young children. DESIGN: Motivational interviews, conducted via Zoom or telephone, addressed barriers and facilitators to reducing mealtime screen use. Following motivational interviews, participants co-designed mealtime screen use reduction strategies and trialled these for 3-4 weeks. Follow-up semi-structured interviews then explored maternal experiences of implementing strategies, including successes and difficulties. Transcripts were analysed thematically. SETTING: Australia. PARTICIPANTS: Fourteen mothers who had no university education and a child between six months and six years old. RESULTS: A range of strategies aimed to reduce mealtime screen use were co-designed. The most widely used strategies included changing mealtime location and parental modelling of expected behaviours. Experiences were influenced by mothers' levels of parenting self-efficacy and mealtime consistency, included changes to mealtime foods and an increased value of mealtimes. Experiences were reportedly easier, more beneficial and offered more opportunities for family communication, than anticipated. Change required considerable effort. However, effort decreased with consistency. CONCLUSIONS: The diverse strategies co-designed by mothers highlight the importance of understanding why families engage in mealtime screen use and providing tailored advice for reduction. Although promising themes were identified, in this motivated sample, changing established mealtime screen use habits still required substantial effort. Embedding screen-free mealtime messaging into nutrition promotion from the inception of eating will be important.

Environmental sustainability and food provision in the early childhood and education setting.

OBJECTIVE: To describe environmentally sustainable (ES) and healthy food provision practices in childcare services in Victoria, Australia. DESIGN: Cross-sectional study. SETTING: Childcare services providing food onsite. PARTICIPANTS: Staff completed an online survey that explored ES food provision practices including purchasing seasonal/local food, food waste awareness/management, and food cost/child/d. A purposively sampled subgroup conducted weighed audits to determine compliance with guidelines and total waste, serving waste (prepared, not served) and plate waste. RESULTS: Survey results found 8 % of services (n 129) had previously conducted food waste audits. Service audits (n 12) found 27 % total food waste (range: 9 % - 64 %). Statistically significant differences in plate waste were found between services who had previously conducted food waste audits (7 %) and those who had not (17 %) (P = 0·04). The most common ES practice was 'providing seasonal food'; the least common was 'maintaining a compost system' and 'less packaged foods'. Most services (95 %) purchased foods from supermarkets with 23 % purchasing from farmers' markets. This was statistically lower for regional/rural services (8 %), compared to metropolitan services (27 %) (P = 0·04). Twenty-seven per cent of services spent AUD2·50 or less per child per day on food. Only one audited service provided a menu compliant with childcare food provision guidelines. CONCLUSIONS: Childcare settings procure and provide large volumes of food; however, food waste awareness appears limited, and environmentally sustainable food procurement practices may be less affordable and difficult to achieve. Understanding the impact of food waste awareness on food waste practices and food costs across time merits further research.

Mapping the behaviour change potential of meal kits to positively influence parental food literacy.

OBJECTIVE: This study aimed to examine the theoretical potential of meal kit subscription services in Australia to promote parental food literacy using the retrospective application of behaviour change frameworks. DESIGN: A one-week subscription was purchased for all Australian-based meal kit subscription services (n 9) to access content and features available to subscribers. Behaviour change techniques (BCTs) identified in the subscription and meal planning features, meal kit delivery (i.e. ingredients and recipes) and website were coded using the behaviour change technique taxonomy (BCTTv1) and associated behaviour change frameworks. Identified BCTs were mapped to the theoretical domains framework to identify potential mechanisms of action for influencing parental food literacy development. SETTING: Australia. RESULTS: Thirty-five BCTs were identified across the nine meal kit services reviewed, ranging from nineteen to twenty-nine BCTs per company. Sixteen BCTs were common to all meal kits services, from the hierarchical clusters of 'goals and planning', 'shaping knowledge', 'social support', 'natural consequences', 'comparison of behaviour', 'repetitions and substitution', 'associations', 'reward and threat', 'antecedents' and 'regulation'. Across the meal kit services, the most frequently identified mechanisms of action were motivation (n 27) and capability (n 19). CONCLUSION: These findings support the applicability of behaviour change frameworks to commercial meal kit subscription services and provide a theory-informed process for identifying BCTs that may be relevant for promoting parental food literacy within this context. Further research is required to explore how families engage with meal kit subscription services to determine the exposure and delivery of identified BCT content and to evaluate the potential influence on food literacy development.

"That's the routine": A qualitative exploration of mealtime screen use in lower educated Australian families with young children.

BACKGROUND: Family meals are an opportune context for initiating healthy eating habits in young children. However, using screens at family mealtimes may negate some of the associated nutritional and social benefits. In High Income countries, frequent mealtime screen use is common, particularly in families of low socioeconomic position (SEP). This study aimed to explore experiences and acceptability of mealtime screen use in families of low SEP with young children. METHODS: Qualitative interviews with 25 mothers of low SEP were conducted via telephone or Zoom™ using Photo Interviewing and a semi-structured interview script. Transcripts were analysed thematically using a Constructivist paradigm. RESULTS: Many parents reported an eagerness for reducing family mealtime screen use. Three major themes were identified in explaining the reasons behind levels of engagement in family mealtime screen use. These included parental self-efficacy, such as parental confidence in saying no to screens at mealtimes, physical resources such as having enough space in the home for a functioning dining table without view of a television, and temporal priorities such as prioritising screen use for managing children's difficult behaviour at mealtimes over long-term health considerations. CONCLUSIONS: This study highlights that although family mealtime screen use is likely linked with a range of child behaviours and parenting practices that may negatively influence children's dietary intake and social engagement, parents often considered screens acceptable at mealtimes. Nonetheless, parents' desire to reduce family mealtime screen use provides an important opportunity to determine how best to support parents to achieve this.

Mothers' descriptions of their feeding strategies in response to fussy eating with children of different levels of trait fussiness.

Parent feeding practices influence a child's dietary intake. Many studies examining how parents react to children's fussy eating behaviours have been limited to questionnaire measures, which assess a limited number of feeding practices. There is a lack of research exploring the range of strategies parents use when their child is being fussy and/or refusing to eat. Therefore, the aims of this study are to describe the strategies used by mothers when their child is being fussy or refusing to eat, and to assess differences in the strategies depending on the child's trait fussiness levels. In 2018, 1504 mothers of children aged 2-5 years completed an online survey. Trait fussiness was assessed using the Children's Eating Behaviour Questionnaire. Mothers were also asked the open-ended question "What are the strategies you use when your child is being fussy or refusing to eat?". Inductive thematic analysis was conducted using NVivo. Themes were compared by child trait fussiness levels. Seven main themes were identified: child-led feeding/trust in child's appetite, spectrum of pressure, home or family strategies, different types of food offerings, communication, avoid certain strategies, and never or rarely fussy. Mothers of children with severe trait fussiness levels reported more pressuring or persuasive strategies. This study provides novel information regarding the diverse range of feeding practices parents use in response to children's fussy eating behaviours. Mothers used more feeding strategies typically associated with unhealthy dietary intake for children of high levels of trait fussiness. It is important that future interventions tailor the information to provide support to parents of children with high levels of trait fussiness regarding the use of feeding practices recommended to support healthy dietary intake.

Meal kit subscription services and opportunities to improve family vegetable consumption.

Popular commercial meal kit subscription services (MKSSs) may support families to overcome barriers to cooking and eating at home, and facilitate improved vegetable consumption. The global meal kit market has expanded rapidly creating a gap in our understanding of the health-promoting potential of MKSSs. This paper describes the contemporary MKSS market in Australia and provides a vegetable-specific content analysis of a sample of recipes. A 1-week subscription was purchased for all Australian-based MKSSs (n = 9) and websites were systematically reviewed to document key characteristics and recipe features. Vegetable content of all available recipes within a 1-week period were analysed. Our findings highlight the rapid expansion and evolution of MKSS market offerings over the past decade and their potential to support family vegetable consumption. Across all analysed recipes (n = 179), MKSSs provided a median of 2.5 vegetable serves per person (range 0.7-7.5 serves) and a median of 3 different types of vegetables from 2 vegetable subgroups (i.e. dark green, red and orange, starchy, legumes and all other vegetables). This suggests that MKSSs may support family vegetable consumption if families select recipes with a greater number and variety of vegetables. However, an opportunity remains for MKSSs to improve both vegetable quantity and variety to positively influence population health. Further research is required to describe how families use meal kits promoting a greater understanding of their potential to improve family nutrition.

Barriers and enablers to menu planning guideline implementation in Australian childcare centres and the role of government support services.

OBJECTIVE: To explore government support service access, perceived barriers/enablers to menu planning and menu compliance in long day care (LDC) centres in Victoria, Australia, where the Victorian Government-funded Healthy Eating Advisory Service (HEAS) is available to provide free LDC menu planning support. DESIGN: This is a cross-sectional study design. Data were collected from online surveys with the option of uploading 2 weeks of menus and recipes. Menu compliance was scored for quantity, quality and variety. Barriers/enablers to menu planning guideline implementation were determined using the Theoretical Domains Framework (TDF). Independent t tests, one-way ANOVA and chi-square tests assessed relationships between characteristics, barriers/enablers and menu scores. SETTING: Eighty-nine LDC centres that prepare food onsite. PARTICIPANTS: LDC staff responsible for menu planning (n 89) and menus from eighteen centres. RESULTS: Fifty-five per cent of centres had accessed HEAS. Of eighteen provided menus, only one menu was compliant with menu planning guidelines. HEAS access was associated with higher average scores in four of seven TDF domains, namely knowledge/awareness, skills/role, reinforcement/influence and optimism/intent. There were no correlations between menu score and barriers/enablers; however, menu quality scores were higher for those accessing HEAS. CONCLUSIONS: Childcare-specific government support services may be an important public health nutrition strategy and may improve menu planning guideline implementation as well as menu quality; however, this does not necessarily translate into menu compliance. Research should confirm these findings in larger studies to ascertain uptake of these services. Public health efforts should focus on exploring barriers and enablers to uptake of government support services to increase reach and acceptability.

Groups of mothers based on feeding practices and their associations with dietary quality of pre-school children: A latent profile analysis.

Parents' feeding practices are associated with children's food intake. However, little is known about the patterns of feeding practices used by groups of mothers or how these groupings of practices influence children's dietary intake. Therefore, the aims of this study are to classify and describe groups of mothers according to their patterns of feeding practices and to examine the associations between the groups of maternal feeding practices and pre-school children's dietary quality. In 2018, 1349 mothers based in Australia of children aged 2-5 years completed an online survey including validated measures of nine feeding practices and dietary quality, measured using thirteen summed dietary items. Latent profile analysis was used to identify distinct groups of mothers who shared similar feeding practices. Linear regression models were fitted to examine associations between the feeding practice profiles and child dietary quality. A three-profile model was chosen based on interpretation, profile size and statistical model fit criteria. Profile 1 had lower mean scores of structure-related feeding practices than the other profiles; profile 2 had mean scores reflecting slightly higher use of most structure-related feeding practices and lower mean scores of some non-responsive feeding practices; profile 3 had higher mean scores of non-responsive feeding practices than the other profiles. Profile 1 (-2.95, CI: 3.97; -1.92) and profile 3 (-2.81, CI: 3.49; -2.13) had lower mean child dietary quality scores compared with profile 2. Profile 2, which reflected the most engagement in structure-related feeding practices combined with least non-responsive feeding practices, was associated with higher child diet quality, compared with the other two profiles. The identification of these unique profiles could help to tailor future interventions to consider patterns of feeding practices used by groups of mothers.

Characterizing children's eating patterns: does the choice of eating occasion definition matter?

BACKGROUND: Recommendations to define eating occasions (EO) currently exist for research in adults, but not for children or adolescents. We examined how varying EO definitions affect the characterization of eating patterns in children and adolescents. METHODS: Cross-sectional dietary data collected using a 24-h recall data during the 2011-12 Australian National Nutrition and Physical Activity Survey (1364 boys and 1337 girls aged 2-18 years) were analyzed. Eight definitions were applied: participant-identified, time-of-day, and 6 neutral definitions (EO separated by 15- or 60-min and/or an additional energy criterion of 21 or 210 kJ). Frequency of and total energy intake from meals, snacks, and all EO were estimated. F tests stratified by gender and age-group, were used to assess differences between definitions. Agreement between definitions of meal and snack frequencies was assessed using intraclass correlation coefficients (ICC). Linear regression was used to estimate the proportion of variance in total energy intake (kJ) and BMI z-score predicted by each definition. RESULTS: Mean frequencies of meals and snacks differed between the participant-identified and time-of-day definitions, in boys and girls and for all age groups (P < 0.01). Across the six neutral definitions, there were differences between mean frequencies of EO with the largest mean difference observed for children aged 2-3 y (boys: 2.3, girls: 2.5; P < 0.003). Between the participant-identified and time-of-day definitions, there was good agreement for frequencies of snacks (ICC for both genders: 0.93) but not meals (boys: 0.36; girls: 0.38). The 15-min time interval plus 210 kJ definition of an EO consistently predicted the most variance in total energy intake (R2 range = 8.1-34.8). Definitions that delineated meals and snacks better predicted variance in BMI z-score, when compared to the neutral definitions. CONCLUSIONS: How eating patterns are characterized vary depending on the EO definitions employed, particularly in young children. Variance in total energy intake was best predicted by a variation of the neutral definition whereas definitions that delineated meals and snacks performed better in relation to predicting BMI variance. Further international research that compares EO definitions in children will help inform a standard approach.

Dietary patterns of Australian pre-schoolers and associations with haem and non-haem iron intakes.

PURPOSE: To describe Australian pre-schooler dietary patterns and examine their associations with dietary iron intakes. METHODS: Dietary data of children (n = 812, 2 to < 6 years old) from the 2011-12 National Nutrition and Physical Activity Survey were collected via two non-consecutive 24-h recalls and analysed using AUSNUT 2011-13. Usual food and nutrient intakes were estimated via Multiple Source Method. Principal component analysis was used to extract dietary patterns from 32 food groups. Associations between dietary patterns and energy-adjusted iron intakes were assessed using linear regression, accounting for the complex survey design. RESULTS: Mean (SD) usual total dietary and haem iron intakes were 6.3 (1.9) and 0.5 (0.3) mg/day, respectively. Three dietary patterns were identified, explaining 14% of the variance. Pattern 1 (positive loadings for cheese, breads, fats and oils, and water) was positively associated with total dietary iron intakes (ß = 0.08, 95% CI 0.01, 0.15). Pattern 3 (positive loadings for red meat, fortified fruit and vegetable products, and sauces and spreads) was negatively associated with total dietary iron (ß = - 0.08, 95% CI - 0.14, - 0.01) and non-haem iron (ß = - 0.09, 95% CI - 0.15, - 0.02) intakes. No dietary patterns were associated with haem iron intakes. CONCLUSIONS: Three main patterns characterise Australian pre-schooler diets. The pattern with which dietary iron is positively associated is predominately characterised by non-haem iron sources and non-iron-fortified foods. Future research is required to estimate the iron bioavailability of Australian pre-schooler diets.

Parenting style as a predictor of dietary score change in children from 4 to 14 years of age. Findings from the Longitudinal Study of Australian Children.

OBJECTIVE: To examine associations between parenting style and changes in dietary quality score across childhood. DESIGN: This longitudinal analysis included the child's frequency of consumption for twelve food and drink items reported by mothers of children (aged 4-8 years) and children (aged 10-14 years) during face-to-face interviews biennially. These items were combined into dietary scores based on the Australian Dietary Guidelines. Parenting styles were classified at baseline as authoritative, authoritarian, permissive and disengaged. Multilevel modelling was used to examine changes in diet quality score over time by maternal parenting styles. SETTING: The Longitudinal Study of Australian Children. PARTICIPANTS: A total of 4282 children aged 4 to 14 years. RESULTS: Children's diet quality score declined over time between 4 and 14 years of age (ß = -0·10, 95 % CI (-0·11, -0·08)). There was strong evidence to suggest that change in diet quality differed dependent on baseline maternal parenting style, although diet quality declined for all groups. Children with authoritative mothers had the greatest decline in diet quality score over time (ß = -0·13; 95 % CI (-0·18, -0·08)), while children with disengaged mothers had the lowest decline (ß = -0·03; 95 % CI (-0·07, 0·01)). However, it is important to note that children with authoritative mothers had a better dietary quality score than children of permissive or disengaged mothers for most of their childhood. CONCLUSION: These findings question the previous assumptions that early exposure to an authoritative parenting style has lasting positive effects on the dietary intake of children.

Reciprocal Regulation of HSD11B1 and HSD11B2 Predicts Glucocorticoid Sensitivity in Childhood Acute Lymphoblastic Leukemia.

There are few biomarkers to predict efficacy of glucocorticoid treatment in childhood acute lymphoblastic leukemia (ALL) at diagnosis. Here, we demonstrate reciprocal regulation of 11beta-hydroxysteroid dehydrogenase (11ß-HSD), may predict the apoptotic response of ALL to glucocorticoid treatment. Our data may be useful to refine glucocorticoid treatment, to retain benefit while minimizing side effects.

Adequacy of iron intakes and socio-demographic factors associated with iron intakes of Australian pre-schoolers.

PURPOSE: To estimate the prevalence of inadequate iron intakes and identify socio-demographic factors associated with iron intakes of Australian children aged 2-5 years. METHODS: Data from the 2011-2012 National Nutrition and Physical Activity Survey component of the Australian Health Survey were analysed (n = 783, 2-5 years old). Dietary intake was assessed via two non-consecutive 24-h recalls. Prevalence of inadequate iron intake was estimated using the full probability approach after estimating the distribution of usual intakes with PC-SIDE. Associations between potential socio-demographic factors and energy-adjusted iron intakes were assessed via linear regression accounting for the complex survey design. RESULTS: Mean (SD) iron intakes for pre-schoolers were 7.9 (1.9) mg/day and the prevalence of inadequate iron intake was 10.1% (95% CI 7.9%, 12.1%). Male sex (mean difference between boys and girls: - 0.22 (95% CI - 0.03, - 0.41) mg/day; p = 0.022) and age (each additional year was associated with 0.11 (95% CI - 0.22, - 0.00) mg/day lower iron intake; p = 0.048) were negatively associated with pre-schooler iron intakes. CONCLUSIONS: This study provides current data relating to the iron nutrition of Australian pre-schoolers. Poor iron intakes continue to be a problem for 10% of Australian children beyond the second year of life, with iron intakes being lower for boys compared to girls and declining with age. Future research should examine strategies to improve iron intakes of young children, with a focus on promoting iron-rich food sources.

Home environment predictors of vegetable and fruit intakes among Australian children aged 18 months.

Suboptimal vegetable and fruit consumption by young children is common. Identifying predictors of vegetable and fruit intakes is important for informing strategies to promote sufficient intakes of these foods from early life. The aim of the present study was to examine predictors of toddlers' vegetable and fruit intakes at age 18 months. This study involved secondary analysis of data from 361 child-mother dyads participating in the Melbourne Infant Feeding, Activity and Nutrition Trial in 2008-2010 at child ages four, nine and 18 months. Children's vegetable and fruit intakes were assessed at age 18 months using multiple 24-h dietary recalls. Data on potential predictor measures were collected via parent-completed questionnaires when children were four or nine months of age. Bivariate and multivariable linear regression models were used to test associations between children's average daily vegetable or fruit intake and potential predictors controlling for treatment arm and clustering by parent group. Multivariable models also controlled for covariates and potential confounders. Home availability of vegetables at age nine months was found to predict children's vegetable intake at age 18 months and remained significant (ß = 20.19, 95% CI:7.23, 33.15, p = 0.003) in the multivariable model. Children's average daily fruit intake at age 18 months was predicted by maternal education at child age four months and the availability of fruits in their home at child age nine months. Maternal education remained significant (ß = 30.83, 95% CI:12.17, 49.48, p = 0.002) in the multivariable model. Strategies to promote adequate vegetable and fruit intakes among young children should address known barriers to the availability of vegetables and fruits in the home from early in life. Additionally, messages encouraging fruit consumption may need to be tailored to mothers with lower levels of education.