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Little is known about Se intakes and status in very young New Zealand children. However, Se intakes below recommendations and lower Se status compared with international studies have been reported in New Zealand (particularly South Island) adults. The Baby-Led Introduction to SolidS (BLISS) randomised controlled trial compared a modified version of baby-led weaning (infants feed themselves rather than being spoon-fed), with traditional spoon-feeding (Control). Weighed 3-d diet records were collected and plasma Se concentration measured using inductively coupled plasma mass spectrometry (ICP-MS). In total, 101 (BLISS n 50, Control n 51) 12-month-old toddlers provided complete data. The OR of Se intakes below the estimated average requirement (EAR) was no different between BLISS and Control (OR: 0·89; 95 % CI 0·39, 2·03), and there was no difference in mean plasma Se concentration between groups (0·04 μmol/l; 95 % CI −0·03, 0·11). In an adjusted model, consuming breast milk was associated with lower plasma Se concentrations (–0·12 μmol/l; 95 % CI −0·19, −0·04). Of the food groups other than infant milk (breast milk or infant formula), 'breads and cereals' contributed the most to Se intakes (12 % of intake). In conclusion, Se intakes and plasma Se concentrations of 12-month-old New Zealand toddlers were no different between those who had followed a baby-led approach to complementary feeding and those who followed traditional spoon-feeding. However, more than half of toddlers had Se intakes below the EAR. [ABSTRACT FROM AUTHOR]

The metabolic syndrome is common in older adults and may be modified by the diet. The aim of this study was to examine associations between a posteriori dietary patterns and the metabolic syndrome in an older New Zealand population. The REACH study (Researching Eating, Activity, and Cognitive Health) included 366 participants (aged 65–74 years, 36 % male) living independently in Auckland, New Zealand. Dietary data were collected using a 109-item FFQ with demonstrated validity and reproducibility for assessing dietary patterns using principal component analysis. The metabolic syndrome was defined by the National Cholesterol Education Program Adult Treatment Panel III. Associations between dietary patterns and the metabolic syndrome, adjusted for age, sex, index of multiple deprivation, physical activity, and energy intake were analysed using logistic regression analysis. Three dietary patterns explained 18 % of dietary intake variation – 'Mediterranean style' (salad/leafy cruciferous/other vegetables, avocados/olives, alliums, nuts/seeds, shellfish and white/oily fish, berries), 'prudent' (dried/fresh/frozen legumes, soya-based foods, whole grains and carrots) and 'Western' (processed meat/fish, sauces/condiments, cakes/biscuits/puddings and meat pies/hot chips). No associations were seen between 'Mediterranean style' (OR = 0·75 (95 % CI 0·53, 1·06), P = 0·11) or 'prudent' (OR = 1·17 (95 % CI 0·83, 1·59), P = 0·35) patterns and the metabolic syndrome after co-variate adjustment. The 'Western' pattern was positively associated with the metabolic syndrome (OR = 1·67 (95 % CI 1·08, 2·63), P = 0·02). There was also a small association between an index of multiple deprivation (OR = 1·04 (95 % CI 1·02, 1·06), P < 0·001) and the metabolic syndrome. This cross-sectional study provides further support for a Western dietary pattern being a risk factor for the metabolic syndrome in an older population. [ABSTRACT FROM AUTHOR]

Purpose: The global population is ageing. Evidence show dietary patterns may be associated with cognitive status in older adults. This cross-sectional study investigated associations between dietary patterns and cognitive function in older adults in New Zealand. Methods: The REACH study (Researching Eating, Activity, and Cognitive Health) included 371 participants (65–74 years, 36% male) living independently in Auckland, New Zealand. Valid and reproducible dietary patterns were derived, using principal component analysis, from dietary data collected by a 109-item validated food frequency questionnaire. Six cognitive domains (global cognition, attention and vigilance, executive function, episodic memory, working memory, and spatial memory) were tested using COMPASS (Computerised Mental Performance Assessment System). Associations between dietary patterns and cognitive scores, adjusted for age, sex, education, physical activity, energy, and Apolipoprotein E-ε4 status were analysed using multiple linear regression analysis. Results: Three dietary patterns explained 18% of dietary intake variation—'Mediterranean style' (comprising: salad vegetables, leafy cruciferous vegetables, other vegetables, avocados and olives, alliums, nuts and seeds, white fish and shellfish, oily fish, and berries); 'Western' (comprising: processed meats, sauces and condiments, cakes, biscuits and puddings, meat pies and chips, and processed fish); and 'Prudent' (comprising: dried legumes, soy-based foods, fresh and frozen legumes, whole grains, and carrots). No associations between any cognitive domain and dietary pattern scores were observed. Global cognitive function was associated with being younger and having a university education. Conclusion: In this cohort of community-dwelling, older adults in New Zealand, current dietary patterns were not associated with cognitive function. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Objective: Eating less frequently is associated with increased obesity risk in older children but data are potentially confounded by reverse causation, where bigger children eat less often in an effort to control their weight. Longitudinal data, particularly in younger children, are scarce. We aimed to determine whether eating frequency (meals and snacks) at 2 years of age is associated with past, current or subsequent BMI.Design: Cohort analysis of a randomised controlled trial. Eating frequency at 2 years of age was estimated using 48 h diaries that recorded when each child ate meals and snacks (parent-defined) in five-minute blocks. Body length/height and weight were measured at 1, 2 and 3·5 years of age. Linear regression assessed associations between the number of eating occasions and BMI Z-score, before and after adjustment for potential confounding variables.Setting: Prevention of Overweight in Infancy (POI) study, Dunedin, New Zealand.Subjects: Children (n 371) aged 1-3·5 years.Results: On average, children ate 5·5 (sd 1·2) times/d at 2 years of age, with most children (88-89 %) eating 4-7 times/d. Eating frequency at 2 years was not associated with current (difference in BMI Z-score per additional eating occasion; 95 % CI: -0·02; -0·10, 0·05) or subsequent change (0·02; -0·03, 0·06) in BMI. Similarly, BMI at age 1 year did not predict eating frequency at 2 years of age (difference in eating frequency per additional BMI Z-score unit; 95 % CI: -0·03; -0·19, 0·13).Conclusions: Number of eating occasions per day was not associated with BMI in young children in the present study. [ABSTRACT FROM AUTHOR]

Background: The Prevention of Overweight in Infancy (POI) study was a four-arm randomised controlled trial (RCT) in 802 families which assessed whether additional education and support on sleep (Sleep group); food, physical activity and breastfeeding (FAB group); or both (Combination group), reduced excessive weight gain from birth to 2 years of age, compared to usual care (Control group). The study had high uptake at recruitment (58 %) and retention at 2 years (86 %). Although the FAB intervention produced no significant effect on BMI or weight status at 2 years, the odds of obesity were halved in those who received the sleep intervention, despite no apparent effect on sleep duration. We speculate that enhanced self-regulatory behaviours may exist in the Sleep group. Self-regulation was not measured in our initial intervention, but extensive measures have been included in this follow-up study. Thus, the overall aim of the POI follow-up is to determine the extent to which augmented parental support and education on infant sleep, feeding, diet, and physical activity in the first 2 years of life reduces BMI at 3.5 and 5 years of age, and to determine the role of self-regulation in any such relationship.Methods/design: We will contact all 802 families and seek renewed consent to participate in the follow-up study. The families have received no POI intervention since the RCT finished at 2 years of age. Follow-up data collection will occur when the children are aged 3.5 and 5 years (i.e. up to 3 years post-intervention). Outcomes of interest include child anthropometry, body composition (DXA scan), diet (validated food frequency questionnaire), physical activity (accelerometry), sleep (questionnaire and accelerometry), and self-regulation (questionnaires and neuropsychological assessment).Discussion: Our follow-up study has been designed primarily to enable us to determine whether the intriguing benefit of the sleep intervention suggested at 2 years of age remains as children approach school age. However, cohort analyses will also investigate how BMI, self-regulation, and sleep consolidation develop during the early years. This information will be valuable to researchers and policy makers progressing the field of early childhood obesity prevention.Trial Registration: ClinicalTrials.gov number NCT00892983 . [ABSTRACT FROM AUTHOR]

Background: In 2002, the World Health Organization recommended that the age for starting complementary feeding should be changed from 4 to 6 months of age to 6 months. Although this change in age has generated substantial debate, surprisingly little attention has been paid to whether advice on how to introduce complementary foods should also be changed. It has been proposed that by 6 months of age most infants will have developed sufficient motor skills to be able to feed themselves rather than needing to be spoon-fed by an adult. This has the potential to predispose infants to better growth by fostering better energy self-regulation, however no randomised controlled trials have been conducted to determine the benefits and risks of such a "baby-led" approach to complementary feeding. This is of particular interest given the widespread use of "Baby-Led Weaning" by parents internationally.Methods/design: The Baby-Led Introduction to SolidS (BLISS) study aims to assess the efficacy and acceptability of a modified version of Baby-Led Weaning that has been altered to address potential concerns with iron status, choking and growth faltering. The BLISS study will recruit 200 families from Dunedin, New Zealand, who book into the region's only maternity hospital. Parents will be randomised into an intervention (BLISS) or control group for a 12-month intervention with further follow-up at 24 months of age. Both groups will receive the standard Well Child care provided to all parents in New Zealand. The intervention group will receive additional parent contacts (n = 8) for support and education on BLISS from before birth to 12 months of age. Outcomes of interest include body mass index at 12 months of age (primary outcome), energy self-regulation, iron and zinc intake and status, diet quality, choking, growth faltering and acceptability to parents.Discussion: This study is expected to provide insight into the feasibility of a baby-led approach to complementary feeding and the extent to which this method of feeding affects infant body weight, diet quality and iron and zinc status. Results of this study will provide important information for health care professionals, parents and health policy makers.Trial Registration: Australian New Zealand Clinical Trials Registry ACTRN12612001133820 . [ABSTRACT FROM AUTHOR]

Background: Despite an extensive well-child health service, 30% of New Zealand’s 2- to 4-y old children are overweight or obese. This suggests that additional intervention is necessary to establish healthy nutrition behaviors. Objective: The aim of this study was to assess the effect of intervention from 0 to 18 mo of age on food and nutrient intake, eating behaviors, and parental feeding practices in 18- to 24-mo-old children. Design: In total, 802 families with healthy infants were randomly allocated to 1 of 4 groups: Usual Care (UC); Food, Activity, and Breastfeeding (FAB); Sleep; or FAB and Sleep (Combination). All groups received standard “well-child” care. The FAB intervention comprised 7–8 additional contacts for education and support around breastfeeding, food, and activity. The Sleep intervention comprised 2 additional contacts for guidance about sleeping habits. Combination families received both interventions. A validated food-frequency questionnaire assessed food intake at 2 y. A questionnaire assessed eating behaviors and parental feeding practices at 18 and 24 mo. Results: At 2 y, there were no statistically significant differences in food and nutrient intake or eating behaviors in the groups receiving the FAB intervention (FAB, Combination; 325 children) compared with the groups who did not (Sleep, UC; 341 children). With the use of a 5-point scale, small but statistically significant differences in parental feeding practices were observed in the group s receiving the FAB intervention: greater child control over eating (difference: 0.14; 95% CI: 0.02, 0.26) and less pressure to eat (difference: 0.18; 95% CI: 0.04, 0.32) at 18 mo, as well as greater encouragement of nutrient-dense foods at 24 mo (difference: 0.16; 95% CI: 0.03, 0.30). No statistically significant differences were observed between the groups who received the Sleep intervention (Sleep, Combination; 313 children) and those who did not, except higher meat intake in the former (11 g/d). Conclusion: Additional education and support for parents from birth did not improve nutrition behaviors in this population at 2 y of age. This trial was registered at clinicaltrials.gov as NCT00892983. Am J Clin Nutr 2015;102:704–12 [ABSTRACT FROM AUTHOR]

Purpose: To investigate associations between dietary patterns and suboptimal iron status in premenopausal women living in Auckland, New Zealand. Methods: Premenopausal women ( n = 375; 18-44 years) were included in this cross-sectional analysis. Suboptimal iron status was defined as serum ferritin <20 μg/L. Participants completed a 144-item iron food frequency questionnaire (FeFFQ) and a questionnaire on dietary practices to assess dietary intake over the past month. Factor analysis was used to determine dietary patterns from the FeFFQ. Logistic regression was used to determine associations between these dietary patterns and iron status. Results: Seven dietary patterns were identified: refined carbohydrate and fat; Asian; healthy snacks; meat and vegetable; high tea and coffee; bread and crackers; and milk and yoghurt. Logistic regression suggested that following a 'meat and vegetable' dietary pattern reduced the risk of suboptimal iron status by 41 % (95 % CI: 18, 58 %; P = 0.002) and following a 'milk and yoghurt' pattern increased the risk of suboptimal iron status by 50 % (95 % CI: 15, 96 %; P = 0.003). Conclusions: These results suggest that dietary patterns characterized by either a low intake of meat and vegetables or a high intake of milk and yoghurt are associated with an increased risk of suboptimal iron status. Dietary pattern analysis is a novel and potentially powerful tool for investigating the relationship between diet and iron status. [ABSTRACT FROM AUTHOR]

Although concern is frequently expressed regarding the potential impact of baby food pouch use and Baby-Led Weaning (BLW) on infant health, research is scarce. Data on pouch use, BLW, energy intake, eating behaviour and body mass index (BMI) were obtained for 625 infants aged 7–10 months in the First Foods New Zealand study. Frequent pouch use was defined as ≥5 times/week during the past month. Traditional spoon-feeding (TSF), "partial" BLW and "full" BLW referred to the relative proportions of spoon-feeding versus infant self-feeding, assessed at 6 months (retrospectively) and current age. Daily energy intake was determined using two 24-h dietary recalls, and caregivers reported on a variety of eating behaviours. Researchers measured infant length and weight, and BMI z-scores were calculated (World Health Organization Child Growth Standards). In total, 28% of infants consumed food from pouches frequently. Frequent pouch use was not significantly related to BMI z-score (mean difference, 0.09; 95% CI -0.09, 0.27) or energy intake (92 kJ/day; −19, 202), but was associated with greater food responsiveness (standardised mean difference, 0.3; 95% CI 0.1, 0.4), food fussiness (0.3; 0.1, 0.4) and selective/restrictive eating (0.3; 0.2, 0.5). Compared to TSF, full BLW was associated with greater daily energy intake (BLW at 6 months: mean difference 150 kJ/day; 95% CI 4, 297; BLW at current age: 180 kJ/day; 62, 299) and with a range of eating behaviours, including greater satiety responsiveness, but not BMI z-score (6 months: 0.06 (−0.18, 0.30); current age: 0.06 (−0.13, 0.26)). In conclusion, neither feeding approach was associated with weight in infants, despite BLW being associated with greater energy intake compared with TSF. However, infants who consumed pouches frequently displayed higher food fussiness and more selective eating. [ABSTRACT FROM AUTHOR]

Parental feeding practices are associated with children's eating behaviours and weight, yet current use of such practices lacks detailed description. This limits our understanding of which behaviours to target to promote healthy growth. We explored the frequency with which a range of parental feeding practices occurs in mothers of toddler and preschool children. Combined data from four Australasian trials of healthy feeding and growth were utilized, each using the Comprehensive Feeding Practices Questionnaire (CFPQ). Data were included from mothers of toddlers (1.3-2 years; n = 1344) and preschool children (4-6 years; n = 795). Means and standard deviations for each CFPQ dimension were calculated for the two age groups. Scores were categorised by frequency, and percentages in each category calculated. Linear regression analysis determined associations between socio-demographics and feeding practices. In both age groups, mothers reported extensive use of some CFPQ dimensions including modelling, encouraging balance and variety, and healthy food environment (between 84% and 100% reported using these practices 'usually' to 'often'). Greater variation existed for other practices including pressure to eat and restriction for health. Food as a reward and pressure to eat were used more with preschool children (M = 2.5, SD = 1.0 and M = 3.1 SD = 0.9) than with toddlers (M = 1.7, SD = 0.8 and M = 2.5 SD = 0.9). For both age groups, mothers' age, education, SEP and BMI category, or the child's BMI, sex, or age predicted use of some feeding practices. Feeding practices such as modelling and providing a healthy food environment are important, but interventions are unlikely to detect effects as most parents report following best practice. In contrast, given greater variability in reported use of other feeding practices like pressure to eat and restriction for health these constructs may be more likely to detect change. [ABSTRACT FROM AUTHOR]

Abstract: Background: Using food frequency data to identify dietary patterns is a newly emerging approach to assessing the relationship between dietary intake and iron status. Food frequency questionnaires should be assessed for validity and reproducibility before use. Objective: We aimed to investigate the relative validity and reproducibility of an iron food frequency questionnaire (FeFFQ) specifically designed to identify iron-related dietary patterns. Design: Participants completed the FeFFQ at baseline (FeFFQ1) and 1 month later (FeFFQ2) to assess reproducibility. A 4-day weighed diet record (4DDR) was completed between these assessments to determine validity. Foods appearing in the 4DDR were classified into the same 144 food groupings as the FeFFQ. Factor analysis was used to determine dietary patterns from FeFFQ1, FeFFQ2, and the 4DDR. Participants/setting: A convenience sample of women (n=115) aged 18 to 44 years living in Auckland, New Zealand, during 2009. Statistical analyses performed: Agreement between diet pattern scores was compared using correlation coefficients, Bland–Altman analysis, cross-classification, and the weighted κ statistic. Results: A “healthy” and a “sandwich and drinks” dietary pattern were identified from all three dietary assessments. Correlation coefficients between FeFFQ1 and the 4DDR diet pattern scores (validity) were 0.34 for the healthy, and 0.62 for the sandwich and drinks pattern (both Ps<0.001). Correlation coefficients between the two FeFFQs (reproducibility) were 0.76 for both the healthy and sandwich and drinks pattern (P<0.001). The FeFFQ1 correctly classified >50% of participants into the correct tertile and <10% into the opposite tertile for both the healthy and sandwich and drinks diet pattern scores when compared with the 4DDR and FeFFQ2. Conclusions: The FeFFQ appears to be a reproducible and relatively valid method for identifying dietary patterns, and could be used to investigate the relationship between dietary patterns and iron status. [Copyright &y& Elsevier]

Dietary pattern analysis considers the overall dietary intake and combinations of foods eaten. Valid and reproducible tools for determining dietary patterns are necessary to assess diet–disease relationships. This study evaluated the relative validity and reproducibility of the Researching Eating, Activity, and Cognitive Health (REACH) Study food frequency questionnaire (FFQ) specifically designed to identify dietary patterns in older adults. A subset of participants from the REACH study completed two identical 109-item FFQs 1 month apart (FFQ1 and FFQ2) to assess reproducibility and a 4-day food record between FFQ administrations to assess relative validity. Foods from each dietary assessment tool were assigned to 57 food groups. Principal component analysis was applied to the food group consumption reported in each dietary assessment tool to derive dietary patterns. Dietary data were collected (2018 and 2019) from a subset of the REACH study (n = 294, 37% men) aged 65 to 74 years, living in Auckland, New Zealand. Daily intakes of 57 food groups and dietary patterns of older adults participating in REACH living in New Zealand. Agreement of dietary pattern loadings were assessed using Tucker's congruence coefficient. Agreement of dietary pattern scores and food group intakes were assessed using Spearman correlation coefficients (acceptable correlation rho = 0.20 to 0.49), weighted kappa statistic (acceptable statistic κ w = 0.20 to 0.60), and Bland-Altman analysis, including mean difference, limits of agreement, plots, and slope of bias. Three similar dietary patterns were identified from each dietary assessment tool: Mediterranean style, Western, and prudent. Congruence coefficients between factor loadings ranged from 0.54 to 0.80. Correlations of dietary pattern scores ranged from 0.47 to 0.59 (reproducibility) and 0.33 to 0.43 (validity) (all P values < 0.001); weighted kappa scores from 0.40 to 0.48 (reproducibility) and 0.27 to 0.37 (validity); limits of agreement from ± 1.79 to ± 2.09 (reproducibility) and ± 2.09 to ± 2.27 (validity); a negative slope of bias was seen in the prudent pattern for reproducibility and validity (P < 0.001). The REACH FFQ generated dietary patterns with acceptable reproducibility and relative validity and therefore can be used to examine associations between dietary patterns and health outcomes in older New Zealand adults. [ABSTRACT FROM AUTHOR]