This study aimed to evaluate the effect of marine-based rumen buffer (Lithothamnium calcareum) supplementation on rumen health as well as milk yield and composition and also behavioural and metabolic parameters of dairy cows. Thirty-six lactating multiparous Holstein cows were used with a milk yield average of 39 kg/d and 64 d in milk. The experiment was conducted over 60 d using two groups: control (CON; n = 18) was supplemented with sodium bicarbonate at 1.1% dry matter and a treatment group that received Lithothamnium calcareum at 0.5% of dry matter (LITHO; n = 18). Each group was fed daily with the buffers mixed to the total mixed ration containing 29.28% starch. Ruminal fluid collections were performed weekly to evaluate pH and volatile fatty acids. Feeding behaviour data were obtained through automatic feeders, while overall behavioural data were obtained using monitoring collars. Milk yield was recorded daily and adjusted for fat and energy. Milk samples were retrieved once weekly for analysis of fat, protein, lactose and total solids. Blood samples were collected weekly for metabolic analysis and faecal samples were collected weekly to evaluate pH and starch concentrations. LITHO produced more fat- and energy-corrected milk (P ≤ 0.01) as well as the highest percentage of fat and solids (P < 0.05) when compared to the CON group. Data on feeding behaviour showed an increased eating time (P ≤ 0.01) in the LITHO group but a higher eating rate (P < 0.01) in the CON group. Animals from the LITHO group had lower faecal pH (P < 0.05). The treatment did not affect dry matter intake, animal behaviour, ruminal acid–base balance, or faecal starch. In summary, Lithothamnium calcareum supplementation at 0.5% of dry matter improved milk yield, milk composition and, presumably, feed conversion efficiency.

Feeding is an interactive process between parents and children and is related to children’s healthy nutrition, growth, and feelings about the child or parent. The effectiveness of the interaction between feeding and behaviour is strongly influenced by how well this reciprocal procedure is stimulated and supported.

The current study aimed to cross-culturally adapt and validate the About Your Child’s Eating (AYCE) questionnaire in its Greek language version for Greek-Cypriot parents and caregivers of children aged six months to 16 years with or without feeding and swallowing problems.

One hundred Greek-Cypriot parents/caregivers of children with feeding and swallowing difficulties and 100 Greek-Cypriot parents/caregivers of children without feeding and swallowing difficulties participated in this study. This study was conducted at mainstream schools and private speech-language therapy clinics in Cyprus. According to WHO, the AYCE questionnaire was translated and culturally tailored for Greek speakers.

The analysis revealed a statistically significant difference between the AYCE total mean scores of parents in the Typical Development of Feeding Behaviors group (c-TDFB) (M = 44.03, SD = 11.18) and parents in the Atypical Development of Feeding Behaviors group (c-ADFB) (M = 63.56, SD: 16.22) (P < 0.001), with c-ADFB scoring significantly higher. The overall evaluation of the scale yielded a Cronbach’s α coefficient of 0.916.

The validity of the AYCE questionnaire in Cyprus was also assessed. The findings demonstrate that the AYCE can be a beneficial tool for determining critical facets of the feeding parent–child interaction for preschool- and school-aged Greek-Cypriot children in Cyprus.

Rapid prenatal and postnatal weight gain seem to alter appetite regulation and hypothalamic functions through different pathways; however, little is known on how early life growth trajectories may influence appetitive traits in school-age. We aimed to explore the associations between weight trajectories from birth to 5 years and appetitive traits at 7. Participants were from the Generation XXI birth cohort (n 3855). Four weight trajectories were investigated: ‘normal weight gain’ (closely overlaps the 50th percentile in the weight-for-age curve), ‘weight gain during infancy’ (low birth weight and weight gain mainly during infancy), ‘weight gain during childhood’ (continuous weight gain since birth) and ‘persistent weight gain’ (always showing higher weight than the average). Appetitive traits were assessed through the Children’s Eating Behaviour Questionnaire. Associations were tested using generalised linear models, adjusted for maternal and child characteristics. Compared with ‘normal weight gain’, those in the other growth trajectories showed greater enjoyment of food and eating in response to food stimuli (i.e. Food Responsiveness) but were less able to compensate for prior food intake and ate faster at 7 (i.e. less Satiety Responsiveness and Slowness in Eating). Also, those with ‘weight gain during infancy’ showed to have greater Emotional Overeating and less Emotional Undereating and were fussier. Associations were stronger if greater weight gain occurred during infancy. Early infancy seems to be a sensitive period in the development of later appetitive traits. The control of rapid growth during infancy, besides strategies focused on the overall environment where children are living, is necessary.

Evidence on the association between children’s food insecurity (FI) and dietary patterns (DPs) is scarce. This study assessed the association between children’s FI and a priori and a posteriori-defined DPs in a Portuguese population-based sample of children. A cross-sectional study including 2800 children from the 10-year-old follow-up of the Generation XXI birth cohort was performed. Data on food security status, assessed by the Self-administered Food Security Survey Module for children (SAFSSMC), dietary intake and socio-demographics were collected. A previously developed Healthy Eating Index (HEI) was adapted for this study. Using the HEI score and its food groups, linear and logistic regression models were performed. Using latent class analysis, five a posteriori-defined DPs were identified. The DPs names considered an overall picture of the DP. Food security status as a categorical (food security/FI) and continuous variable (SAFSSMC raw score: higher scores representing higher FI) was used. Multinomial logistic regression models were used to assess the association between food security status and DPs. Children’s FI (9·4 %) was inversely associated with the HEI score (β=–0·695;95%CI:–1·154,–0·235), representing worse diet quality. A higher SAFSSMC raw score was associated with low fruit and vegetables (OR=1·089;95%CI:1·023,1·159) and seafood and eggs consumption (OR=1·073;95%CI:1·009,1·142) and high consumption of meat and meat products (OR=1·091;95%CI:1·026,1·160), salty snacks (OR=1·067;95%CI:1·003,1·136) and soft drinks (OR=1·097;95%CI:1·031,1·168). The SAFSSMC raw score was positively associated with ‘Low consumption’ (OR=1·119;95%CI:1·016,1·232), ‘Energy-dense foods’ (OR=1·155;95%CI:1·028,1·298) and ‘Snacking’ (OR=1·119;95%CI:1·006,1·245) DPs. FI was associated with worse dietary choices. Intervention strategies targeting food insecure children should be developed to promote healthy dietary habits.

This study aimed to investigate the association of ultra-processed food consumption at 4 and 7 years of age with appetitive traits at 7 years and BMI at 10 years of age. Participants were 1175 children of the population-based birth cohort Generation XXI, who provided food diaries and complete data on socio-demographic variables, anthropometric measures and the Portuguese Children’s Eating Behaviour Questionnaire (P-CEBQ). Foods were grouped according to NOVA classification into: ‘unprocessed, minimally or moderately processed, and culinary preparations’; ‘processed’ and ‘ultra-processed’. To assess tracking of groups’ consumption, Pearson’s correlation coefficient (r) and the intraclass correlation coefficient (ICC) were calculated. Generalised linear models were fitted to test main associations, mediators and interactions among the variables. Ultra-processed consumption exhibited a fair level of stability between ages 4 and 7 years (r 0·34; ICC = 0·32; 95 % CI 0·25, 0·39), corresponding, respectively, to 27·3 % (1881·9 (SD 908·8) kJ/d) and 29·3 % (2204·5 (SD 961·1) kJ/d) of total energy intake. After adjusting for maternal and child characteristics, higher ultra-processed consumption at 4 years was associated directly with ‘Food Responsiveness’ (β = 0·019; 95 % CI 0·007, 0·037) and indirectly through energy intake with avoidant traits: ‘Food Fussiness’ (β = –0·007; 95 % CI 0·002, 0·012) and ‘Satiety Responsiveness’ (β = –0·007; 95 % CI 0·003, 0·012). Ultra-processed consumption at 4 years old was associated with BMI at 10 years old, but appetitive behaviours were not powerful mediators of this association. The results suggest a path by which ultra-processed products may impact on later appetitive traits and higher BMI in children.

Infants with slow weight gain cause concern in parents and professionals, but it is difficult to be certain whether such infants are genetically small or whether their energy intake is insufficient. The aim of the present study was to assess the impact of diet and feeding behaviours on slow weight gain early in infancy. The sample was 11 499 term infants from the Avon Longitudinal Study of Parents and Children (ALSPAC). A total of 507 cases of slow weight gain from birth to 8 weeks were identified and the remaining 10 992 infants were used as controls. It was found that infants who gained weight slowly between birth and 8 weeks were more likely to exhibit feeding problems such as weak sucking and slow feeding during this period. Feeding problems were substantially reduced during the recovery phase (8 weeks to 2 years) when these infants exhibited enhanced catch-up in weight. The proportion of mothers breast-feeding in the 4th week after birth was higher for slow weight gainers, but they were more likely to switch to formula at the start of recovery. During recovery, slow-weight gain infants had a slightly higher energy intake from formula and solids than controls. In conclusion, feeding problems seem to be the most important factors associated with the onset of early slow weight gain. Subsequently, a reduction of feeding problems and an increase in overall energy intake may contribute to their weight recovery. Health professionals should look for feeding problems in the first few weeks after birth and help mothers establish adequate feeding practices.