Regional variation in sudden unexpected death in infancy in New Zealand.

AIM: To estimate the relative risk of sudden unexpected death in infancy (SUDI) by district health board (DHB) in New Zealand after adjustment for socio-economic deprivation, ethnicity and other demographic factors. METHODS: We conducted a population-based cohort study using data from the Integrated Data Infrastructure, a large research database containing linked data from a range of government agencies. The study population was all live births and their mothers in New Zealand from 2012 to 2018. The exposure of interest was DHB. The outcome was SUDI. RESULTS: There were 418 068 live births in New Zealand from 2012 to 2018, and of these 415 401 (99.4%) had valid DHB data. There was considerable variation in the proportion of infants in each DHB living in the most deprived decile varying from 4.5% in Nelson, West Coast and Canterbury to 29.7% in Counties Manukau. There were 267 SUDI cases, giving an overall rate of 0.64/1000 live births during the study period (2012-2018). The SUDI rate varied from 1.11/1000 in Northland to 0.30/1000 in Waitemata and Auckland. Counties Manukau had the largest number of deaths (n = 54; rate = 1.08/1000). Five DHB regions had increased risk of SUDI compared to the reference group but, after adjustment, no DHB was significantly increased. CONCLUSIONS: This study found that there is marked variation in SUDI risk by DHB, but this is explained by socio-economic and demographic variation within DHBs. This study emphasises the importance of the contribution of social determinants of health to SUDI.

Further reductions in the prevalence of obesity in 4-year-old New Zealand children from 2017 to 2019.

OBJECTIVE: To examine whether the prevalence of age- and sex-adjusted BMI at, or above, the 85th, 95th and 99.7th percentiles continues to decline in New Zealand preschool children, over time. METHODS: As part of a national screening programme, 438,972 New Zealand 4-year-old children had their height and weight measured between 2011 and 2019. Age- and sex-adjusted BMI was calculated using WHO Growth Standards and the prevalence of children at, or above, the 85th, 95th, and 99.7th percentiles and at, or below, the 2nd percentile were determined. Log-binomial models were used to estimate linear time trends of ≥85th, ≥95th and ≥99.7th percentiles for the overall sample and separately by sex, deprivation, ethnicity and urban-rural classification. RESULTS: The percentage of children at, or above, the 85th, 95th and 99.7th percentile reduced by 4.9% [95% CI: 4.1%, 5.7%], 3.5% [95% CI: 2.9%, 4.1%], and 0.9% [95% CI: 0.7%, 1.2%], respectively, between '2011/12' and '2018/19'. There was evidence of a decreasing linear trend (risk reduction, per year) for the percentage of children ≥85th (risk ratio (RR): 0.980 [95% CI: 0.978, 0.982]), ≥95th (RR: 0.966 [95% CI: 0.962, 0.969]) and ≥99.7th (RR: 0.957 [95% CI: 0.950, 0.964]) percentiles. Downward trends were also evident across all socioeconomic indicators (sex, ethnicity, deprivation, and urban-rural classification), for each of the BMI thresholds. Larger absolute decreases were evident for children residing in the most deprived compared with the least deprived areas, at each BMI threshold. There appeared to be no consistent trend for the percentage of children ≤2nd percentile. CONCLUSIONS: Reassuringly, continued declines of children with age- and sex-adjusted BMI at, or above, the 85th, 95th and 99.7th percentiles are occurring over time, overall and across all sociodemographic indicators, with little evidence for consistent trends in the prevalence of children at, or below, the 2nd percentile.

Adherence to 24-h movement behavior guidelines and psychosocial functioning in young children: a longitudinal analysis.

BACKGROUND: A recent paradigm shift has highlighted the importance of considering how sleep, physical activity and sedentary behaviour work together to influence health, rather than examining each behaviour individually. We aimed to determine how adherence to 24-h movement behavior guidelines from infancy to the preschool years influences mental health and self-regulation at 5 years of age. METHODS: Twenty-four hour movement behaviors were measured by 7-day actigraphy (physical activity, sleep) or questionnaires (screen time) in 528 children at 1, 2, 3.5, and 5 years of age and compared to mental health (anxiety, depression), adaptive skills (resilience), self-regulation (attentional problems, hyperactivity, emotional self-control, executive functioning), and inhibitory control (Statue, Head-Toes-Knees-Shoulders task) outcomes at 5 years of age. Adjusted standardised mean differences (95% CI) were determined between those who did and did not achieve guidelines at each age. RESULTS: Children who met physical activity guidelines at 1 year of age (38.7%) had lower depression (mean difference [MD]: -0.28; 95% CI: -0.51, -0.06) and anxiety (MD: -0.23; 95% CI: -0.47, 0.00) scores than those who did not. At the same age, sleeping for 11-14 h or having consistent wake and sleep times was associated with lower anxiety (MD: -0.34; 95% CI: -0.66, -0.02) and higher resilience (MD: 0.35; 95% CI: 0.03, 0.68) scores respectively. No significant relationships were observed at any other age or for any measure of self-regulation. Children who consistently met screen time guidelines had lower anxiety (MD: -0.43; 95% CI: -0.68, -0.18) and depression (MD: -0.36; 95% CI: -0.62, -0.09) scores at 5. However, few significant relationships were observed for adherence to all three guidelines; anxiety scores were lower (MD: -0.42; 95% CI: -0.72, -0.12) in the 20.2% who adhered at 1 year of age, and depression scores were lower (MD: -0.25; 95% CI: -0.48, -0.02) in the 36.7% who adhered at 5 years of age compared with children who did not meet all three guidelines. CONCLUSIONS: Although adherence to some individual movement guidelines at certain ages throughout early childhood was associated with improved mental health and wellbeing at 5 years of age, particularly reduced anxiety and depression scores, there was little consistency in these relationships. Future work should consider a compositional approach to 24-h time use and how it may influence mental wellbeing. TRIAL REGISTRATION: ClinicalTrials.gov number NCT00892983.

Introduction and uptake of electronic growth charts in southern New Zealand.

AIM: The introduction of an electronic system for recording and displaying growth measurements replaces multiple paper growth charts and theoretically improves the availability and consistency of information to support clinical decision-making. Introducing this in a single New Zealand District Health Board provided the opportunity to evaluate usage in hospital settings and determine the uptake of growth recording in a defined population. METHODS: All records between 2010 and 2015 in the Southern District Health Board (SDHB) anthropometry database were downloaded and examined in a retrospective cohort analysis. Records were extracted after matching to demographic and clinical setting data from the hospital patient management system. RESULTS: Analysis included 30 670 data entry points, representing 8551 children. Data entry increased over time to a maximum of 8407 observations in 2015. By the fifth year of use, up to 67% of available clinical encounters had anthropometry recorded in the outpatient department. Rates were lower in the inpatient setting, where only up to 18.4% had anthropometry recorded. The errors identified were low (0.2% of all data). Weight was the most commonly recorded measurement (98.2% of anthropometry entries, 35.1% of available clinical presentations). Height was available for 82.6% of entries and 29.5% of presentations. A body mass index z-score was available for 81.5% of entries and 29.1% of presentations. A head circumference was available for 50.2% of children <2 years age who had anthropometry recorded. CONCLUSIONS: The introduction of an electronic anthropometry database has been successful with increasing rates of use over time, especially in outpatient clinics. Further focus to improve inpatient recording of height and weight is needed.

Management of childhood obesity: An audit of clinical practice in secondary care.

AIM: Childhood obesity continues to be a major health issue for children world-wide, with well-recognised major health effects. This study evaluated the prevalence of obesity in children presenting to secondary care in Southern New Zealand, as well as their clinical management. METHODS: Obesity prevalence was determined by a review of data contained in the electronic anthropometry database in the region for the period 19 July 2010-16 July 2015. All clinical records were further examined using a standard data extraction form for 333 obese children regarding their clinical management. RESULTS: A total of 8551 individuals were identified in the database for review. The prevalence of overweight and obesity was higher than the average national rates but stable over the 5-year period. Children of Maori and Pacific Island ethnicity, those most deprived and males were over-represented in terms of obesity. Of the 333 obese children whose clinical management was examined, 45.0% received a diagnosis of obesity. Of those diagnosed, 24.7% had further investigations related to possible obesity complications, and 72.7% were given management plans. Older females were more likely to receive clinical intervention, while Maori and Pacific Island children were less likely. CONCLUSIONS: Of the children seen in this secondary care setting, 40% are overweight or obese, and yet the rate of clinical intervention left room for improvement, suggesting a need for further staff education and clear guidelines. Maori and Pacific Island children have higher obesity burden but were less likely to receive clinical intervention. This may highlight a need for specific education regarding cultural practices.

24-h movement behaviors from infancy to preschool: cross-sectional and longitudinal relationships with body composition and bone health.

BACKGROUND: New physical activity guidelines for children address all movement behaviors across the 24-h day (physical activity, sedentary behavior, sleep), but how each component relates to body composition when adjusted for the compositional nature of 24-h data is uncertain. AIMS: To i) describe 24-h movement behaviors from 1 to 5 years of age, ii) determine cross-sectional relationships with body mass index (BMI) z-score, iii) determine whether movement behaviors from 1 to 5 years of age predict body composition and bone health at 5 years. METHODS: 24-h accelerometry data were collected in 380 children over 5-7 days at 1, 2, 3.5 and 5 years of age to determine the proportion of the day spent: sedentary (including wake after sleep onset), in light (LPA) and moderate-to-vigorous physical activity (MVPA), and asleep (including naps). BMI was determined at each age and a dual-energy x-ray absorptiometry (DXA) scan measured fat mass, bone mineral content (BMC) and bone mineral density (BMD) at 5 years of age. 24-h movement data were transformed into isometric log-ratio co-ordinates for multivariable regression analysis and effect sizes back-transformed. RESULTS: At age 1, children spent 49.6% of the 24-h day asleep, 38.2% sedentary, 12.1% in LPA, and 0.1% in MVPA, with corresponding figures of 44.4, 33.8, 19.8 and 1.9% at 5 years of age. Compositional time use was only related significantly to BMI z-score at 3.5 years in cross-sectional analyses. A 10% increase in mean sleep time (65 min) was associated with a lower BMI z-score (estimated difference, - 0.25; 95% CI, - 0.42 to - 0.08), whereas greater time spent sedentary (10%, 47 min) or in LPA (10%, 29 min) were associated with higher BMI z-scores (0.12 and 0.08 respectively, both p < 0.05). Compositional time use from 1 to 3.5 years was not related to future BMI z-score or percent fat. Although MVPA at 2 and 3.5 years was consistently associated with higher BMD and BMC at 5 years, actual differences were small. CONCLUSIONS: Considerable changes in compositional time use occur from 1 to 5 years of age, but there is little association with adiposity. Although early MVPA predicted better bone health, the differences observed had little clinical relevance. TRIAL REGISTRATION: ClinicalTrials.gov number NCT00892983 .

Predictors of breastfeeding duration in a predominantly Maori population in New Zealand.

BACKGROUND: Although breastfeeding duration in New Zealand's indigenous Maori is shorter than in non-Maori, we know little about barriers or motivators of breastfeeding in this community. The aim of this analysis was to identify predictors for extended duration of breastfeeding amongst participants drawn from predominantly Maori communities in regional Hawke's Bay. METHODS: Mother/baby dyads were recruited from two midwifery practices serving predominantly Maori women in mostly deprived areas, for a randomised controlled trial comparing the risks and benefits of an indigenous sleeping device (wahakura) and a bassinet. Questionnaires were administered at baseline (pregnancy) and at one, three and six months postnatal. Several questions relating to breastfeeding and factors associated with breastfeeding were included. The data from both groups were pooled to examine predictors of breastfeeding duration. RESULTS: Maori comprised 70.5% of the 197 participants recruited. The median time infants were fully breastfed was eight weeks and Maori women were more likely to breastfeed for a shorter duration than New Zealand European women with an odds-ratio (OR) of 0.45 (95% CI 0.24, 0.85). The key predictors for extended duration of breastfeeding were the strong support of the mother's partner (OR = 3.64, 95% CI 1.76, 7.55) or her mother for breastfeeding (OR = 2.47, 95% CI 1.27, 4.82), longer intended duration of maternal breastfeeding (OR = 1.02, 95% CI 1.00, 1.03) and being an older mother (OR = 1.07, 95% CI 1.02, 1.12). The key predictors for shorter duration of breastfeeding were pacifier use (OR = 0.28, 95% CI 0.17, 0.46), daily cigarette smoking (OR = 0.51, 95% CI 0.37, 0.69), alcohol use (OR = 0.54, 95% CI 0.31, 0.93) and living in a more deprived area (OR 0.40, 95% CI 0.22, 0.72). CONCLUSIONS: Breastfeeding duration in this group of mainly Maori women was shorter than the national average. Increasing the duration of breastfeeding by these mothers could be further facilitated by ante and postnatal education involving their own mothers and their partners in the support of breastfeeding and by addressing pacifier use, smoking and alcohol use.

The Pepi-Pod study: Overnight video, oximetry and thermal environment while using an in-bed sleep device for sudden unexpected death in infancy prevention.

AIM: The aim of this study was to identify the potential risks and benefits of sleeping infants in a Pepi-Pod distributed to families with high risk of sudden unexpected death in infancy compared to a bassinet. METHODS: Forty-five mostly indigenous Maori mothers who were referred by local health providers to receive a Pepi-Pod were surveyed at recruitment, 1 and 3 months. A sleep study at 1 month included infrared video, oximetry and temperature measures. RESULTS: When compared with 89 historical bassinet controls, an intention-to-treat analysis of questionnaires showed no increase in direct bed sharing but demonstrated significantly less sharing of the maternal bedroom at both interviews, with the majority of those not sleeping in the maternal bedroom, actually sleeping in the living room. The 1 month 'as-used' analysis showed poorer maternal sleep quality. The 'as-used' analysis of video data (24 Pepi-Pod and 113 bassinet infants) also showed no increase in direct bed sharing, head covering or prone/side sleep position. Differences in oxygen saturation were not significant, but heart rate was higher in the Pepi-Pod infants by 8.37 bpm (95% confidence interval 4.40, 12.14). Time in the thermal comfort zone was not different between groups despite Pepi-Pod infants being situated in significantly warmer rooms. CONCLUSIONS: Overall, we found that most differences in infant risk behaviours in a Pepi-Pod compared to a bassinet were small, with confidence intervals excluding meaningful differences. We noted poorer maternal sleep quality at 1 month. Higher infant heart rates in the Pepi-Pod group may be related to higher room temperatures. The Pepi-Pod appears physiologically safe but is associated with lower reported maternal sleep quality.

Eating frequency in relation to BMI in very young children: a longitudinal analysis.

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.

High-Dose Monthly Maternal Cholecalciferol Supplementation during Breastfeeding Affects Maternal and Infant Vitamin D Status at 5 Months Postpartum: A Randomized Controlled Trial.

BACKGROUND: Many countries recommend daily infant vitamin D supplementation during breastfeeding, but compliance is often poor. A monthly, high-dose maternal regimen may offer an alternative strategy, but its efficacy is unknown. OBJECTIVE: The objective of the study was to determine the effect of 2 different monthly maternal doses of cholecalciferol on maternal and infant 25-hydroxyvitamin D [25(OH)D] status during the first 5 mo of breastfeeding. METHODS: With the use of a randomized, double-blind, placebo-controlled design, women who were planning to exclusively breastfeed for 6 mo (n = 90; mean age: 32.1 y; 71% exclusively breastfeeding at week 20) were randomly assigned to receive either cholecalciferol (50,000 or 100,000 IU) or a placebo monthly from week 4 to week 20 postpartum. The treatment effects relative to placebo were estimated as changes in maternal and infant serum 25(OH)D from baseline to week 20 postpartum by using a linear fixed-effects regression model. Additional secondary analyses, adjusted for potential confounders such as season of birth, vitamin D-fortified formula intake, and infant or maternal skin color, were also conducted. RESULTS: After 16 wk of supplementation, changes in maternal serum 25(OH)D were significantly higher in the 50,000-IU/mo (12.8 nmol/L; 95% CI: 0.4, 25.2 nmol/L) and 100,000-IU/mo (21.5 nmol/L; 95% CI: 9.2, 33.8 nmol/L) groups than in the placebo group (P = 0.43 and P < 0.001, respectively). For infants, the unadjusted mean changes in serum 25(OH)D were 4.5 nmol/L (95% CI: -16.2, 25.0 nmol/L) for the 50,000-IU/mo group and 15.8 nmol/L (95% CI: -4.7, 36.4 nmol/L) for the 100,000-IU/mo group, but the changes did not differ from the placebo reference group. However, after adjustment for season of birth, vitamin D-fortified formula intake, and infant skin color, the mean change effect size for the 100,000-IU/mo group was 19.1 nmol/L (95% CI: 2.5, 35.6 nmol/L; P = 0.025) higher than that in the placebo group. CONCLUSIONS: Maternal cholecalciferol supplementation at a dose of 100,000 IU/mo during the first 5 mo of breastfeeding potentially benefits infant vitamin D status. Further studies are required to determine optimum dose and dosing frequency. This trial was registered at www.anzctr.org.au as ACTRN12611000108910.

Three-year follow-up of a randomised controlled trial to reduce excessive weight gain in the first two years of life: protocol for the POI follow-up study.

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 .

The stability of sleep patterns in children 3 to 7 years of age.

OBJECTIVE: To determine the reliability and stability of sleep (duration and quality) over time in young children using repeated accelerometer estimates of sleep. STUDY DESIGN: One hundred ninety-four children wore Actical accelerometers for 5-day periods (24-hour monitoring) at 3, 4, 5, 5.5, 6.5, and 7 years of age. Sleep variables of interest (duration, onset, offset, latency, efficiency, and wake after sleep onset) were estimated using the Sadeh algorithm within a commercial data reduction program (ActiLife). Children were divided into various groups according to sleep stability, and demographic and behavioral differences were compared across groups by ANOVA. RESULTS: All measures of sleep quantity and quality required 4-7 days of accelerometry to obtain acceptable reliability estimates, except morning wake time (2-4 days), and sleep latency (11-21 days). Average year-to-year correlations were only moderate for most measures (r = 0.41-0.51), but considerably higher than those observed for sleep latency, efficiency, and wake after onset (r = 0.15-0.24). Only 29 children were classified as sleep-stable over the 4 years. These children were less likely to be from ethnic minority groups (P = .017) and had higher levels of day-time physical activity (P = .032). CONCLUSIONS: Sleep patterns in children are not particularly stable, showing considerable variation both within a week and across the years. Few children exhibit stable sleep patterns over time, yet characterization of these children might provide further information regarding how sleep benefits health.

Lactation Consultant Support from Late Pregnancy with an Educational Intervention at 4 Months of Age Delays the Introduction of Complementary Foods in a Randomized Controlled Trial.

BACKGROUND: Although the WHO recommends that complementary feeding in infants should begin at 6 mo of age, it often begins before this in developed countries. OBJECTIVE: Our objective was to determine whether lactation consultant (LC) support, with educational resources given at 4-mo postpartum, can delay the introduction of complementary foods until around 6 mo of age. METHODS: A total of 802 mother-infant pairs were recruited from the single maternity hospital serving Dunedin, New Zealand (59% response rate) and randomly assigned to the following: 1) usual care (control group); 2) infant sleep education intervention (Sleep); 3) food, activity, and breastfeeding intervention (FAB); or 4) combination (both) intervention (Combo). Certified LCs delivered 3 intervention sessions (late pregnancy and 1-wk and 4-mo postpartum). The 4-mo contact used educational resources focused on developmental readiness for complementary foods. Age when complementary foods were introduced was obtained from repeated interviews (monthly from 3- to 27-wk postpartum). RESULTS: A total of 49.5% and 87.2% of infants received complementary foods before 5 and 6 mo of age, respectively. There was evidence of group differences in the number of infants introduced to complementary foods before 5 mo (P = 0.006), with those receiving support and resources (FAB and Combo groups combined; 55.6%) more likely to wait until at least 5 mo compared with controls (control and Sleep groups combined; 43.3%) (OR: 1.52; 95% CI: 1.08, 2.16). However, there was no evidence they were more likely to wait until 6 mo of age (P = 0.52). Higher maternal age, higher parity, and a less positive attitude toward breastfeeding were positively associated, and drinking alcohol during pregnancy was negatively associated, with later age of introduction of complementary foods. CONCLUSIONS: Providing an LC and educational resources at 4-mo postpartum to predominantly well-educated, mainly European, women can delay the introduction of complementary foods until 5 mo of age, but not until the WHO recommendation of 6 mo. This trial was registered at clinicaltrials.gov as NCT00892983.

Baby-Led Introduction to SolidS (BLISS) study: a randomised controlled trial of a baby-led approach to complementary feeding.

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 .

Safe sleep practices in a New Zealand community and development of a Sudden Unexpected Death in Infancy (SUDI) risk assessment instrument.

BACKGROUND: Interventions to prevent sudden unexpected death in infancy (SUDI) have generally been population wide interventions instituted after case-control studies identified specific childcare practices associated with sudden death. While successful overall, in New Zealand (NZ), the rates are still relatively high by international comparison. This study aims to describe childcare practices related to SUDI prevention messages in a New Zealand community, and to develop and explore the utility of a risk assessment instrument based on international guidelines and evidence. METHODS: Prospective longitudinal study of 209 infants recruited antenatally. Participant characteristics and infant care data were collected by questionnaire at: baseline (third trimester), and monthly from infant age 3 weeks through 23 weeks. Published meta-analyses data were used to estimate individual risk ratios for 6 important SUDI risk factors which, when combined, yielded a "SUDI risk score". RESULTS: Most infants were at low risk for SUDI with 72% at the lowest or slightly elevated risk (combined risk ratio ≤1.5). There was a high prevalence of the safe practices: supine sleeping (86-89% over 3-19 weeks), mother not smoking (90-92% over 3-19 weeks), and not bed sharing at a young age (87% at 3 weeks). Five independent predictors of a high SUDI risk score were: higher parity (P =0.028), younger age (P =0.030), not working or caring for other children antenatally (P =0.031), higher depression scores antenatally (P =0.036), and lower education (P =0.042). CONCLUSIONS: Groups within the community identified as priorities for education about safe sleep practices beyond standard care are mothers who are young, have high parity, low educational levels, and have symptoms of depression antenatally. These findings emphasize the importance of addressing maternal depression as a modifiable risk factor in pregnancy.

Using motivational interviewing for weight feedback to parents of young children.

AIM: To determine whether a single session of motivational interviewing (MI) for feedback of a child's overweight status promotes engagement in treatment following screening. METHODS: One thousand ninety-three children aged 4-8 years were recruited through primary and secondary care to attend health screening, including assessment of parenting practices and motivation (questionnaire). Families with normal-weight children were informed about their child's weight but had no further involvement. Parents of overweight (body mass index ≥ 85th percentile) children (n = 271) were randomised to receive weight feedback via MI or best practice care (BPC) using a traffic light concept to indicate degree of health risk. Follow-up interviews were held 2 weeks later to examine intervention uptake, changes to motivation and behaviour, and parental response to feedback. RESULTS: Recruitment into the intervention was high (76%) and not altered by feedback condition (percentage difference 6.6 (95% confidence interval -2.9, 16.0). High scores on the Health Care Climate Questionnaire (rating of the interviewer) indicated satisfaction with how the information was provided to parents. No differences were observed in multiple indicators of harm. However, self-determined motivation for healthy life-styles was significantly higher in the MI condition at follow-up (0.18: 0.00, 0.35), after only a single session of MI. CONCLUSIONS: MI and BPC were both successful in encouraging parents to participate in a family-based intervention, with MI offering little significant benefit over BPC. A traffic light approach to weight feedback is a suitable way of providing sensitive information to parents not expecting such news.

What factors influence uptake into family-based obesity treatment after weight screening?

OBJECTIVES: To determine what factors drive participation in a family-based weight management program for 4- to 8-year-old children following screening for overweight or obesity. STUDY DESIGN: Children (n = 1093) attended a comprehensive screening appointment where parents completed questionnaires on demographics, motivation for healthy lifestyles, feeding practices, and beliefs about child size, prior to feedback about the child's weight. Parents of overweight or obese children (body mass index ≥85th percentile) attended a follow-up interview to assess reactions to feedback and willingness to participate in a 2-year intervention. RESULTS: A total of 271 (24.8%) children were overweight or obese with 197 (72.7%) agreeing to the intervention. Socioeconomic status differed in intervention participants (n = 197) compared with non-participants (n = 74), whereas no differences were observed in parental feeding practices, ineffective parenting practices, or self-determined forms of motivation. However, fewer non-participating parents believed their child to be overweight (23% vs 49%, P < .001) or were concerned about it (16% vs 43%, P < .001), despite children having an average body mass index approximating the 95th percentile. Non-participating parents did not expect their child to be overweight (P = .002) and rated receiving this information as less useful (P = .008) than participating parents. CONCLUSION: Preconceptions about child weight and reactions to feedback determined intervention uptake more than parenting or motivation for health. Many parents agreed to participate in the intervention despite not viewing their child as overweight.

Prevalence of low and high BMI during the first 3 years of life: using New Zealand national electronic health data.

BACKGROUND: Data on body mass index (BMI) in infants and toddlers worldwide are lacking, relative to older age groups. OBJECTIVES: To describe the growth (weight, length/height, head circumference, and BMI z-score) of New Zealand children under the age of 3 years, and examine differences by sociodemographic characteristics (sex, ethnicity, and deprivation). METHODS: Electronic health data were collected by Whanau Awhina Plunket, who provide free 'Well Child' services for approximately 85% of newborn babies in New Zealand. Data from children under the age of 3, who had their weight and length/height measured between 2017 and 2019, were included. The prevalence of BMI (WHO child growth standards) ≤2nd, ≥85th, and ≥95th percentiles were determined. RESULTS: Between 12 weeks and 27 months of age, the percentage of infants ≥85th BMI percentile increased from 10.8% (95% CI, 10.4%-11.2%) to 35.0% (34.2%-35.9%). The percentage of infants with high BMI (≥95th percentile) also increased, particularly between 6 months (6.4%; 95% CI, 6.0%-6.7%) and 27 months (16.4%; 15.8%-17.1%). By contrast, the percentage of infants with low BMI (≤2nd percentile) appeared steady between 6 weeks and 6 months, and declined at older ages. The prevalence of infants with a high BMI appears to increase substantially from 6 months across sociodemographic characteristics, with a widening prevalence gap by ethnicity occurring from 6 months, mirroring that of infants with a low BMI. CONCLUSIONS: The number of children with high BMI increases rapidly between 6 months and 27 months of age, suggesting this is an important timeframe for monitoring and preventive action. Future work should investigate the longitudinal growth trajectories of these children to determine if any particular patterns predict later obesity and what strategies could effectively change them.

Is the cost-effectiveness of an early-childhood sleep intervention to prevent obesity affected by socioeconomic position?

OBJECTIVE: This study aimed to determine whether the cost-effectiveness of an infant sleep intervention from the Prevention of Overweight in Infancy (POI) trial was influenced by socioeconomic position (SEP). METHODS: An SEP-specific economic evaluation of the sleep intervention was conducted. SEP-specific intervention costs and effects at age 5 years, derived from the trial data, were applied to a representative cohort of 4,898 4- to 5-year-old Australian children. Quality-adjusted life years and health care costs were simulated until age 17 years using a purpose-built SEP-specific model. Incremental cost-effectiveness ratios and acceptability curves were derived for each SEP group. RESULTS: The incremental cost-effectiveness ratios, in Australian dollars per quality-adjusted life year gained, were smaller in the low- ($23,010) and mid-SEP ($18,206) groups compared with the high-SEP group ($31,981). The probability that the intervention was cost-effective was very high in the low- and mid-SEP groups (92%-100%) and moderately high in the high-SEP group (79%). CONCLUSIONS: An infant sleep intervention is more cost-effective in low- and mid-SEP groups compared with high-SEP groups. Targeting this intervention to low-SEP groups would not require trade-offs between efficiency and equity.

Rapid infant weight gain or point-in-time weight status: Which is the best predictor of later obesity and body composition?

OBJECTIVE: The aim of this study was to determine which growth indicator (weight, weight-for-length, BMI) and time frame (6- or 12-month intervals between 0 and 24 months) of rapid infant weight gain (RIWG) best predicted obesity risk and body composition at 11 years of age. METHODS: RIWG (increase ≥0.67 z scores between two time points) was calculated from weight and length/height at birth, 0.5, 1, 1.5, and 2 years. The predictive value of each measure and time frame was calculated in relation to obesity (BMI ≥95th percentile) and body fat (fat mass index [FMI], dual-energy X-ray absorptiometry scan) at 11 years. RESULTS: The sensitivity (1.5% to 62.1%) and positive predictive value (12.5% to 33.3%) of RIWG to predict obesity varied considerably. Having obesity at any time point appeared a stronger risk factor than any indicator of RIWG for obesity at 11 years. Obesity at any age during infancy consistently predicted a greater FMI of around 1.1 to 1.5 kg/m2 at 11 years, whereas differences for RIWG were inconsistent. CONCLUSIONS: A simple measure of obesity status at a single time point between 6 and 24 months of age appeared a stronger risk factor for later obesity and FMI than RIWG assessed by any indicator, over any time frame.