Food Based Dietary Guidelines (FBDG) are a set of recommendations that describe the quantity and types of foods to consume to promote healthy eating and prevent diseases such as obesity. However, when assessing compliance with FBDG, calculating contributions from composite dishes is challenging, since the specific recipe ingredients are often unknown. This project aims to establish proportional contribution of composite dishes to food groups defined by the Irish and UK FBDG. This will facilitate automated assessment of compliance with FBDG for users of novel technology such as Nutritics, a suite of integrated nutrition analysis software tools for healthcare professionals, educators and industries. Territory specific food composition data (n = 3291) for Ireland and the UK were downloaded from the 2015 McCance & Widdowson Composition of Foods Integrated Dataset (CoFIDs). Recipes were identified and classified into groups broadly aligned with the food groups defined in the Healthy Food for Life Ireland and the Eatwell Guide UK. Supplementary recipe details were accessed from McCance & Widdowson 7th Edition book and online resources. Recipes were categorised by recipe type and ingredients were categorised into food groups. Percentage contribution of each food group to the total recipe was calculated. Of the 3,291 foods, 1,108 were classified as recipes, details were available for 138 of these. Of the 138 recipes, there were fruit & vegetable dishes (n = 20), breads, potatoes, pasta and rice dishes (n = 12), meat, fish and alternative protein sources dishes (n = 40), dairy dishes (n = 23), high fat/oil, sugar, salt dishes (n = 43). For fruit & vegetable dishes, the median percentage contribution to the fruit & vegetable food group was 67% (15% min/ 100% max). For breads, potatoes, pasta and rice dishes the median percentage contribution to the breads, potatoes, pasta and rice food group was 53% (17% min/ 89% max). For meat, fish and alternative protein sources dishes, the median percentage contribution to meat, fish and alternative protein sources food group was 55% (16% min/ 85% max), for dairy dishes, the median percentage contribution to the dairy food group was 90% (53% min/ 96% max). For high fat/oil, sugar, salt dishes the median percentage contribution to the high fat/oil, sugar, salt food group was 22% (3% min/ 97% max). The calculation of recipes into percentage contribution to food groups can support assessment of adherence to FBDG when using reference recipes. This is a useful tool to support healthcare professionals when assessing dietary intake where specific recipe components are unknown.

Food Based Dietary Guidelines (FBDG) are dietary recommendations described in terms of amounts of foods that should be consumed. They are designed to support healthy eating through simple messaging and indicate how to achieve a nutritionally adequate diet. However, assessing compliance with FBDG targets can be difficult. The quantity of food either being consumed or prescribed and the amount of that food that constitutes a serving are needed to calculate the contribution of the food towards a food group target. The aim of this study was to define the serving weight of foods, guided by definitions from Irish FBDG, to the McCance and Widdowson Composition of Foods Integrated Dataset 2015 (CoFID). This will enable the automatic assessment of compliance to FBDG using Nutritics nutrition analysis software. Foods from CoFID were categorised into six food groups as defined by Ireland's FBDG. Quantified servings from the Irish FBDG were matched to foods. Calculation criteria were developed to establish a serving size for remaining foods within each food group. For fats and oils, as well as raw fruits and vegetables, household measurements were converted to grams, using Food Portion Sizes from the Food Standards Agency. Quantities for cooked fruits and vegetables were calculated using weight-change factors published by Bognar. For the breads, cereals and potatoes group a serving size was calculated using the midpoint for the calorie bands in this group, as defined by the Food Safety Authority of Ireland. For the dairy group, a serving size was determined by calculating the quantity needed to provide 250 mg of calcium. This was in line with achieving the total daily recommended amount of calcium from the dairy group from 3 servings. For meat, fish and alternatives (MFA), serving sizes were developed using the recommended amount of protein per body weight reference value for males and females. For foods high in fat, sugar and salt, serving sizes were defined using 100kcal as the recommended amount of energy provided for snacks. Out of 3,291 foods, 1,980 were grouped into 6 food groups. Quantified servings were available for 694 foods in 3 food groups. Calculated serving sizes were developed for the remaining 1,276 foods. The quantity of each food that constitutes a serving will be integrated into Nutritics to automatically assess compliance to FBDG. This will enable Health Care and Food Industry Professionals to deliver informed advice on meeting population health targets.

Research suggests that food fussiness (FF) and food neophobia (FN) are two separate constructs. Food fussiness is the tendency to be selective about a large proportion of familiar and unfamiliar foods, while food neophobia is the refusal of novel foods. Therefore, the aim of this study is to explore the association between parental feeding practices and child's FF or FN.

Analysis was based on cross-sectional data from the nationally representative Irish National Children's Food Survey II (NCFSII; 2017–2018). The NCFSII collected detailed eating behaviour data from children aged 5–12 (n = 596) using the Children's Eating Behaviour Questionnaire (CEBQ). This questionnaire contained four items from the food fussiness subscale that represented FN and two items that represented FF. The Feeding Practices & Structure Questionnaire (FPSQ) assessed non-responsive and structure-related parental feeding practices. Spearman's correlation established the association between parental feeding practices and child's FF and FN. Moderation analyses was conducted to explore the extent to which child's age moderates the association.

Higher levels of child's FN was weakly to moderately associated with higher parental reports of reward for eating (RE) (r = .210, p < 0.001), persuasive feeding (PF) (r = .340, p < 0.001), overt restriction (OR) (r = .195, p < 0.001) and lower reports of structured meal settings (SMS) (r = -.085, p = 0.039) and family meals (FMS) (r = -.387, p < 0.001). Higher levels of child's FF had a slightly stronger association with the same parental feeding as FN, with additional associations with structured meal timings (SMT) (r = -.089, p = 0.031) and covert restriction (CR) (r = -.083, p = 0.045). Age moderated the association between both child's FF [b = .22, p < 0.001] and FN [b = .17, p = 0.002] and parental reports of PF, along with moderating the association between child's FF [b = .11, p = 0.04] and parental reports of SMT.

Overall, child's FN and FF were both associated with higher levels of non-responsive feeding practices and lower reports of structure-related feeding practices, with child's FF associated with more parental feeding practices than FN. These findings suggest that it is important to address FN and FF as separate constructs, with more structure-related feeding practices inversely associated with higher levels of FF only. In addition, as children get older findings suggest that less parental feeding practices are utilised, however, higher levels of child's FF/FN are associated with similar levels of PF and SMT (FF only) regardless of age.

The role of fathers in child rearing has changed in recent years due to an increase in maternal employment, which has increased the prevalence of co-parenting. It is important therefore to establish the role fathers have in feeding their child and how their attitudes and perceptions may influence the strategies they employ during mealtimes. In addition, research suggests that maternal and paternal feeding practices are associated with child's gender and weight status. Therefore, the aim of this research was to investigate the association between fathers’ perception of child's weight and paternal non-responsive and structure-related feeding practices, and the extent to which this is mediated by a child's gender.

Cross-sectional data from an Irish sample of fathers, who completed an online survey based on one of their children aged 5–12 years old (n = 155). The Feeding Practices and Structure Questionnaire (FPSQ) assessed paternal feeding practices, and it was validated for use within this sample. A 5-point Likert scale response ranging from Very Underweight to Very Overweight to the question “Do you think your child is . . ?” assessed fathers’ perception of child's weight. Associations were assessed using multiple linear regressions.

Fathers who perceived their sons as underweight reported higher levels of rewarding the child to eat (β = .24; p = 0.04) and overt restriction (β = .27; p = 0.03) than fathers who perceived their sons to be normal weight. Fathers who perceived their sons as overweight reported higher levels of overt restriction (β = .26; p = 0.04) than fathers who perceived their son to be normal weight. In relation to daughters, fathers who perceived them as underweight reported higher levels of both reward for behaviour (β = .28; p = 0.006) and reward for eating (β = .20; p = 0.04), while fathers who perceived their daughters as overweight reported lower levels of structured mealtimes (β = -.27; p = 0.012) compared to fathers who perceived their daughter as normal weight.

Findings suggest that paternal perception of child's weight influences the type of feeding practices utilised by fathers, with the child's gender a mediating influence on reported specific feeding practices. Overall, fathers who perceive their son or daughter to be underweight or overweight appear to engage in more non-responsive and less structure-related feeding practices than fathers who perceive their child to be normal weight.