A nationally generalisable cohort (n 5770) was used to determine the prevalence of non-timely (early/late) introduction of complementary food and core food groups and associations with maternal sociodemographic and health behaviours in New Zealand (NZ). Variables describing maternal characteristics and infant food introduction were sourced, respectively, from interviews completed antenatally and during late infancy. The NZ Infant Feeding Guidelines were used to define early (≤ 4 months) and late (≥ 7 months) introduction. Associations were examined using multivariable multinomial regression, presented as adjusted relative risk ratios and 95 % confidence intervals (RRR; 95% CI). Complementary food introduction was early for 40·2 % and late for 3·2 %. The prevalence of early food group introduction were fruit/vegetables (23·8 %), breads/cereals (36·3 %), iron-rich foods (34·1 %) and of late were meat/meat alternatives (45·9 %), dairy products (46·2 %) and fruits/vegetables (9·9 %). Compared with infants with timely food introduction, risk of early food introduction was increased for infants: breastfed < 6months (2·52; 2·19–2·90), whose mothers were < 30 years old (1·69; 1·46–1·94), had a diploma/trade certificate v. tertiary education (1·39; 1·1–1·70), of Māori v. European ethnicity (1·40; 1·12–1·75) or smoked during pregnancy (1·88; 1·44–2·46). Risk of late food introduction decreased for infants breastfed < 6 months (0·47; 0.27–0·80) and increased for infants whose mothers had secondary v. tertiary education (2·04; 1·16–3·60) were of Asian v. European ethnicity (2·22; 1·35, 3·63) or did not attend childbirth preparation classes (2·23; 1·24–4·01). Non-timely food introduction, specifically early food introduction, is prevalent in NZ. Interventions to improve food introduction timeliness should be ethnic-specific and support longer breast-feeding.

Dietary pattern analysis is typically based on dimension reduction and summarises the diet with a small number of scores. We assess ‘joint and individual variance explained’ (JIVE) as a method for extracting dietary patterns from longitudinal data that highlights elements of the diet that are associated over time. The Auckland Birthweight Collaborative Study, in which participants completed an FFQ at ages 3·5 (n 549), 7 (n 591) and 11 (n 617), is used as an example. Data from each time point are projected onto the directions of shared variability produced by JIVE to yield dietary patterns and scores. We assess the ability of the scores to predict future BMI and blood pressure measurements of the participants and make a comparison with principal component analysis (PCA) performed separately at each time point. The diet could be summarised with three JIVE patterns. The patterns were interpretable, with the same interpretation across age groups: a vegetable and whole grain pattern, a sweets and meats pattern and a cereal v. sweet drinks pattern. The first two PCA-derived patterns were similar across age groups and similar to the first two JIVE patterns. The interpretation of the third PCA pattern changed across age groups. Scores produced by the two techniques were similarly effective in predicting future BMI and blood pressure. We conclude that when data from the same participants at multiple ages are available, JIVE provides an advantage over PCA by extracting patterns with a common interpretation across age groups.

Using data from a nationally generalisable birth cohort, we aimed to: (i) describe the cohort’s adherence to national evidence-based dietary guidelines using an Infant Feeding Index (IFI) and (ii) assess the IFI’s convergent construct validity, by exploring associations with antenatal maternal socio-demographic and health behaviours and with child overweight/obesity and central adiposity at age 54 months. Data were from the Growing Up in New Zealand cohort (n 6343). The IFI scores ranged from zero to twelve points, with twelve representing full adherence to the guidelines. Overweight/obesity was defined by BMI-for-age (based on the WHO Growth Standards). Central adiposity was defined as waist-to-height ratio > 90th percentile. Associations were tested using multiple linear regression and Poisson regression with robust variance (risk ratios, 95 % CI). Mean IFI score was 8·2 (sd 2·1). Maternal characteristics explained 29·1 % of variation in the IFI score. Maternal age, education and smoking had the strongest independent relationships with IFI scores. Compared with children in the highest IFI tertile, girls in the lowest and middle tertiles were more likely to be overweight/obese (1·46, 1·03, 2·06 and 1·56, 1·09, 2·23, respectively) and boys in the lowest tertile were more likely to have central adiposity (1·53, 1·02, 2·30) at age 54 months. Most infants fell short of meeting national Infant Feeding Guidelines. The associations between IFI score and maternal characteristics, and children’s overweight/obesity/central adiposity, were in the expected directions and confirm the IFI’s convergent construct validity.

Research into associations between early life nutritional exposures and vulnerability to adult non-communicable disease (NCD) highlights the importance of maternal diet. A booklet outlining evidence-based dietary guidelines for the first 1000 days of life was first published in 2016 by early life nutrition experts for distribution to pregnant women in Australia and New Zealand. First-time New Zealand mothers’ (n=9) perceptions of the booklet and its relevance for the future health of their child were explored via semi-structured focus groups and interviews. Recruitment took place via social media channels and antenatal classes around Auckland. Three major themes were identified using thematic analysis: 1. A difference in the ways mothers related to the booklet depending on their apparent level of health literacy and communication preferences; 2. A tendency for women to outsource decision-making to nutrition ‘rules’, rather than interpreting information to suit personal circumstances; 3. Intense pressure to comply, resulting in feelings of shame or guilt when the ‘rules’ were not followed. In this study, first-time mums expressed feeling under pressure to ‘get it right’ and identified a desire for more support from healthcare providers and society. Nutrition education is essential; however, a booklet should provide a starting point for conversation rather than a stand-alone list of recommendations. Further exploration is needed to develop a resource that can be used by health professionals working alongside women and their partners to support healthy child development.

The Eating Assessment in Toddlers FFQ (EAT FFQ) has been shown to have good reliability and comparative validity for ranking nutrient intakes in young children. With the addition of food items (n 4), we aimed to re-assess the validity of the EAT FFQ and estimate calibration factors in a sub-sample of children (n 97) participating in the Growing Up Milk – Lite (GUMLi) randomised control trial (2015–2017). Participants completed the ninety-nine-item GUMLi EAT FFQ and record-assisted 24-h recalls (24HR) on two occasions. Energy and nutrient intakes were assessed at months 9 and 12 post-randomisation and calibration factors calculated to determine predicted estimates from the GUMLi EAT FFQ. Validity was assessed using Pearson correlation coefficients, weighted kappa (κ) and exact quartile categorisation. Calibration was calculated using linear regression models on 24HR, adjusted for sex and treatment group. Nutrient intakes were significantly correlated between the GUMLi EAT FFQ and 24HR at both time points. Energy-adjusted, de-attenuated Pearson correlations ranged from 0·3 (fibre) to 0·8 (Fe) at 9 months and from 0·3 (Ca) to 0·7 (Fe) at 12 months. Weighted κ for the quartiles ranged from 0·2 (Zn) to 0·6 (Fe) at 9 months and from 0·1 (total fat) to 0·5 (Fe) at 12 months. Exact agreement ranged from 30 to 74 %. Calibration factors predicted up to 56 % of the variation in the 24HR at 9 months and 44 % at 12 months. The GUMLi EAT FFQ remained a useful tool for ranking nutrient intakes with similar estimated validity compared with other FFQ used in children under 2 years.

Dietary patterns describe the combination of foods and beverages in a diet and the frequency of habitual consumption. Better understanding of childhood dietary patterns and antenatal influences could inform intervention strategies to prevent childhood obesity. We derived empirical dietary patterns in 1142 children (average age 6·0 (sd 0·2) years) in New Zealand, whose mothers had participated in the Screening for Pregnancy Endpoints (SCOPE) cohort study and explored associations with measures of body composition. Participants (Children of SCOPE) had their diet assessed by FFQ, and dietary patterns were extracted using factor analysis. Three distinct dietary patterns were identified: ‘Healthy’, ‘Traditional’ and ‘Junk’. Associations between dietary patterns and measures of childhood body composition (waist, hip, arm circumferences, BMI, bioelectrical impedance analysis-derived body fat % and sum of skinfold thicknesses (SST)) were assessed by linear regression, with adjustment for maternal influences. Children who had higher ‘Junk’ dietary pattern scores had 0·24 (sd 0·08; 95 % CI 0·04, 0·13) cm greater arm and 0·44 (sd 0·05; 95 % CI 0·01, 0·10) cm greater hip circumferences and 1·13 (sd 0·07; 95 % CI 0·03, 0·12) cm greater SST and were more likely to be obese (OR 1·74; 95 % CI 1·07, 2·82); those with higher ‘Healthy’ pattern scores were less likely to be obese (OR 0·62; 95 % CI 0·39, 1·00). In a large mother–child cohort, a dietary pattern characterised by high-sugar and -fat foods was associated with greater adiposity and obesity risk in children aged 6 years, while a ‘Healthy’ dietary pattern offered some protection against obesity. Targeting unhealthy dietary patterns could inform public health strategies to reduce the prevalence of childhood obesity.

Folic acid (FA) supplementation is recommended in the periconceptional period, for the prevention of neural tube defects. Limited data are available on the folate status of New Zealand (NZ) pregnant women and its association with FA supplementation intake. Objectives were to examine the relationship between plasma folate (PF) and reported FA supplement use at 15 weeks’ gestation and to explore socio-demographic and lifestyle factors associated with PF. We used data and blood samples from NZ participants of the Screening for Pregnancy Endpoints cohort study. Healthy nulliparous women with singleton pregnancy (n 1921) were interviewed and blood samples collected. PF was analysed via microbiological assay. Of the participants, 73 % reported taking an FA supplement at 15 weeks’ gestation – of these, 79 % were taking FA as part of/alongside a multivitamin supplement. Of FA supplement users, 56 % reported consuming a daily dose of ≥800 μg; 39 % reported taking less than 400 µg/d. Mean PF was significantly higher in women reporting FA supplementation (54·6 (se 1·5) nmol/l) v. no FA supplementation (35·1 (se 1·6) nmol/l) (P<0·0001). Reported daily FA supplement dose and PF were significantly positively correlated (r 0·41; P<0·05). Younger maternal age, Pacific and Maori ethnicity and obesity were negatively associated with PF levels; vegetarianism was positively associated with PF. Reported FA supplement dose was significantly associated with PF after adjustment for socio-demographic, lifestyle confounders and multivitamin intake. The relationship observed between FA supplementation and PF demonstrates that self-reported intake is a reliable proxy for FA supplement use in this study population.

The second year of life is a period of nutritional vulnerability. We aimed to investigate the dietary patterns and nutrient intakes from 1 to 2 years of age during the 12-month follow-up period of the Growing Up Milk – Lite (GUMLi) trial. The GUMLi trial was a multi-centre, double-blinded, randomised controlled trial of 160 healthy 1-year-old children in Auckland, New Zealand and Brisbane, Australia. Dietary intakes were collected at baseline, 3, 6, 9 and 12 months post-randomisation, using a validated FFQ. Dietary patterns were identified using principal component analysis of the frequency of food item consumption per d. The effect of the intervention on dietary patterns and intake of eleven nutrients over the duration of the trial were investigated using random effects mixed models. A total of three dietary patterns were identified at baseline: ‘junk/snack foods’, ‘healthy/guideline foods’ and ‘breast milk/formula’. A significant group difference was observed in ‘breast milk/formula’ dietary pattern z scores at 12 months post-randomisation, where those in the GUMLi group loaded more positively on this pattern, suggesting more frequent consumption of breast milk. No difference was seen in the other two dietary patterns. Significant intervention effects were seen on nutrient intake between the GUMLi (intervention) and cows’ milk (control) groups, with lower protein and vitamin B12, and higher Fe, vitamin D, vitamin C and Zn intake in the GUMLi (intervention) group. The consumption of GUMLi did not affect dietary patterns, however, GUMLi participants had lower protein intake and higher Fe, vitamins D and C and Zn intake at 2 years of age.

A child's diet is an important determinant of growth and development. Because of this, the accurate assessment of dietary intake in young children remains a challenge. A systematic search of studies validating FFQ methodologies in children 12 to 36 months of age was completed. English-language articles published until March 2016 were searched using three electronic databases (MEDLINE, EMBASE and CINAHL). Quality assessment of the identified studies was carried out using The Reduced Summary Score and EURopean micronutrient RECommendations Aligned (EURRECA) scoring system. Seventeen studies were included and categorised according to whether they reflected long-term (≥7 d) or short-term (<7 d) intake, or used a biomarker. A total score for each micronutrient was calculated from the mean of the correlation coefficients weighted by the study quality score. At least three validation studies per micronutrient were required for inclusion. Fifteen studies (83 %) that considered validity of the FFQ in assessing nutrient intakes had quality scores from 2·5 to 6·0. Of those, ten (67 %) studies found FFQ to have good correlations in assessing dietary intake (>0·4). Of the nutrients with three or more studies available, FFQ validated using a reference method reflecting short-term intake had a good weighted correlation for Ca (0·51), and acceptable weighted correlations for vitamin C (0·31) and Fe (0·33). Semi-quantitative FFQ were shown to be valid and reproducible when estimating dietary intakes at a group level, and are an acceptable instruments for estimating intakes of Ca, vitamin C and Fe in children 12 to 36 months of age.

This controlled treatment-outcome study compared the effects of behavioural parent training (BPT) and standard dietary education (SDE) on the mealtime interaction, feeding behaviour, nutritional status, and adjustment of children with feeding disorders. Participants were 20 children (aged between 18 months and five years) with persistent feeding difficulties, and their families. Children underwent initial screening (involving medical assessment, behavioural observation of mealtime interaction, nutritional intake analysis, and self-report measures of parent and child adjustment) and were randomly assigned to BPT or SDE. Results indicated that children in both treatment conditions showed improvement on the child behaviour measures (e.g. food refusal, disruptive behaviour during mealtimes) at home and in mealtime observations in the clinic. Children in both conditions also showed an increase in the variety of foods sampled by follow-up. Following treatment, mothers who received BPT showed more positive mother–child interaction during mealtimes, and both parents were more satisfied with treatment than parents in SDE. Mothers in both conditions showed slight elevations in mood at posttest and follow-up, and increased marital satisfaction at posttest (which decreased by follow-up). All other treatment effects were maintained at a three- to four-month follow-up assessment.

Maternal nutritional status before and during pregnancy is important for the growth and development of the fetus. The effects of pre-pregnancy nutrition (estimated by maternal size) are well documented. There is little information in today's Western society on the effect of maternal nutrition during pregnancy on the fetus. The aim of the study was to describe dietary patterns of a cohort of mothers during pregnancy (using principal components analysis with a varimax rotation) and assess the effect of these dietary patterns on the risk of delivering a small-for-gestational-age (SGA) baby. The study was a case–control study investigating factors related to SGA. The population was 1714 subjects in Auckland, New Zealand, born between October 1995 and November 1997, about half of whom were born SGA ( ≤ 10th percentile for sex and gestation). Maternal dietary information was collected using FFQ after delivery for the first and last months of pregnancy. Three dietary patterns (traditional, junk and fusion) were defined. Factors associated with these dietary patterns when examined in multivariable analyses included marital status, maternal weight, maternal age and ethnicity. In multivariable analysis, mothers who had higher ‘traditional’ diet scores in early pregnancy were less likely to deliver a SGA infant (OR = 0·86; 95 % CI 0·75, 0·99). Maternal diet, particularly in early pregnancy, is important for the development of the fetus. Socio-demographic factors tend to be significantly related to dietary patterns, suggesting that extra resources may be necessary for disadvantaged mothers to ensure good nutrition in pregnancy.