Identifying early language predictors: A replication of Gasparini et al. (2023) confirming applicability in a general population cohort.

BACKGROUND: Identifying language disorders earlier can help children receive the support needed to improve developmental outcomes and quality of life. Despite the prevalence and impacts of persistent language disorder, there are surprisingly no robust predictor tools available. This makes it difficult for researchers to recruit young children into early intervention trials, which in turn impedes advances in providing effective early interventions to children who need it. AIMS: To validate externally a predictor set of six variables previously identified to be predictive of language at 11 years of age, using data from the Longitudinal Study of Australian Children (LSAC) birth cohort. Also, to examine whether additional LSAC variables arose as predictive of language outcome. METHODS & PROCEDURES: A total of 5107 children were recruited to LSAC with developmental measures collected from 0 to 3 years. At 11-12 years, children completed the Clinical Evaluation of Language Fundamentals, 4th Edition, Recalling Sentences subtest. We used SuperLearner to estimate the accuracy of six previously identified parent-reported variables from ages 2-3 years in predicting low language (sentence recall score ≥ 1.5 SD below the mean) at 11-12 years. Random forests were used to identify any additional variables predictive of language outcome. OUTCOMES & RESULTS: Complete data were available for 523 participants (52.20% girls), 27 (5.16%) of whom had a low language score. The six predictors yielded fair accuracy: 78% sensitivity (95% confidence interval (CI) = [58, 91]) and 71% specificity (95% CI = [67, 75]). These predictors relate to sentence complexity, vocabulary and behaviour. The random forests analysis identified similar predictors. CONCLUSIONS & IMPLICATIONS: We identified an ultra-short set of variables that predicts 11-12-year language outcome with 'fair' accuracy. In one of few replication studies of this scale in the field, these methods have now been conducted across two population-based cohorts, with consistent results. An imminent practical implication of these findings is using these predictors to aid recruitment into early language intervention studies. Future research can continue to refine the accuracy of early predictors to work towards earlier identification in a clinical context. WHAT THIS PAPER ADDS: What is already known on the subject There are no robust predictor sets of child language disorder despite its prevalence and far-reaching impacts. A previous study identified six variables collected at age 2-3 years that predicted 11-12-year language with 75% sensitivity and 81% specificity, which warranted replication in a separate cohort. What this study adds to the existing knowledge We used machine learning methods to identify a set of six questions asked at age 2-3 years with ≥ 71% sensitivity and specificity for predicting low language outcome at 11-12 years, now showing consistent results across two large-scale population-based cohort studies. What are the potential or clinical implications of this work? This predictor set is more accurate than existing feasible methods and can be translated into a low-resource and time-efficient recruitment tool for early language intervention studies, leading to improved clinical service provision for young children likely to have persisting language difficulties.

Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study.

BACKGROUND: Common pregnancy and perinatal complications are associated with offspring cardiometabolic risk factors. These complications may influence multiple metabolic traits in the offspring and these associations might differ with offspring age. METHODS: We used data from eight population-based cohort studies to examine and compare associations of pre-eclampsia (PE), gestational hypertension (GH), gestational diabetes (GD), preterm birth (PTB), small (SGA) and large (LGA) for gestational age (vs. appropriate size for gestational age (AGA)) with up to 167 plasma/serum-based nuclear magnetic resonance-derived metabolic traits encompassing lipids, lipoproteins, fatty acids, amino acids, ketones, glycerides/phospholipids, glycolysis, fluid balance, and inflammation. Confounder-adjusted regression models were used to examine associations (adjusted for maternal education, parity age at pregnancy, ethnicity, pre/early pregnancy body mass index and smoking, and offspring sex and age at metabolic trait assessment), and results were combined using meta-analysis by five age categories representing different periods of the offspring life course: neonates (cord blood), infancy (mean ages: 1.1-1.6 years), childhood (4.2-7.5 years); adolescence (12.0-16.0 years), and adulthood (22.0-67.8 years). RESULTS: Offspring numbers for each age category/analysis varied from 8925 adults (441 PTB) to 1181 infants (135 GD); 48.4% to 60.0% were females. Pregnancy complications (PE, GH, GD) were each associated with up to three metabolic traits in neonates (P≤0.001) with some evidence of persistence to older ages. PTB and SGA were associated with 32 and 12 metabolic traits in neonates respectively, which included an adjusted standardised mean difference of -0.89 standard deviation (SD) units for albumin with PTB (95% CI: -1.10 to -0.69, P=1.3×10-17) and -0.41 SD for total lipids in medium HDL with SGA (95% CI: -0.56 to -0.25, P=2.6×10-7), with some evidence of persistence to older ages. LGA was inversely associated with 19 metabolic traits including lower levels of cholesterol, lipoproteins, fatty acids, and amino acids, with associations emerging in adolescence, (e.g. -0.11 SD total fatty acids, 95% CI: -0.18 to -0.05, P=0.0009), and attenuating with older age across adulthood. CONCLUSIONS: These reassuring findings suggest little evidence of wide-spread and long-term impact of common pregnancy and perinatal complications on offspring metabolic traits, with most associations only observed for newborns rather than older ages, and for perinatal rather than pregnancy complications.

Using machine-learning methods to identify early-life predictors of 11-year language outcome.

BACKGROUND: Language is foundational for neurodevelopment and quality of life, but an estimated 10% of children have a language disorder at age 5. Many children shift between classifications of typical and low language if assessed at multiple times in the early years, making it difficult to identify which children will have persisting difficulties and benefit most from support. This study aims to identify a parsimonious set of preschool indicators that predict language outcomes in late childhood, using data from the population-based Early Language in Victoria Study (n = 839). METHODS: Parents completed surveys about their children at ages 8, 12, 24, and 36 months. At 11 years, children were assessed using the Clinical Evaluation of Language Fundamentals 4th Edition (CELF-4). We used random forests to identify which of the 1990 parent-reported questions best predict children's 11-year language outcome (CELF-4 score ≤81 representing low language) and used SuperLearner to estimate the accuracy of the constrained sets of questions. RESULTS: At 24 months, seven predictors relating to vocabulary, symbolic play, pragmatics and behavior yielded 73% sensitivity (95% CI: 57, 85) and 77% specificity (95% CI: 74, 80) for predicting low language at 11 years. [Corrections made on 5 May 2023, after first online publication: In the preceding sentence 'motor skills' has been corrected to 'behavior' in this version.] At 36 months, 7 predictors relating to morphosyntax, vocabulary, parent-child interactions, and parental stress yielded 75% sensitivity (95% CI: 58, 88) and 85% specificity (95% CI: 81, 87). Measures at 8 and 12 months yielded unsatisfactory accuracy. CONCLUSIONS: We identified two short sets of questions that predict language outcomes at age 11 with fair accuracy. Future research should seek to replicate results in a separate cohort.

Does inflammation mediate the association between obesity and hearing status in mid-childhood and mid-life?

BACKGROUND: Obesity is characterized by heightened inflammation, and both phenotypes are associated with hearing loss. We aimed to determine if inflammation mediates the associations between obesity and hearing ability in mid-childhood and mid-life. METHODS: Participants: 1165 11- to 12-year-old children and 1316 parents in the population-based cross-sectional Child Health CheckPoint within the Longitudinal Study of Australian Children. Adiposity measures: Body mass index (BMI) classified as normal, overweight and obesity; waist-to-height ratio (WHtR) classified as <0.5 and ≥0.5; fat mass index. Inflammatory biomarkers: Serum glycoprotein A (GlycA); high-sensitivity C-reactive protein (hsCRP). Audiometry: Composite high Fletcher Index (mean threshold of 1, 2, 4 kHz) in the better ear. ANALYSIS: Causal mediation analysis decomposed a 'total effect' (obesity on hearing status) into 'indirect' effect via a mediator (eg GlycA, hsCRP) and 'direct' effect via other pathways, adjusting for age, sex and socioeconomic position. RESULTS: Compared to adults with BMI within the normal range, those with obesity had hearing thresholds 1.9 dB HL (95% CI 1.0-2.8) higher on the high Fletcher Index; 40% of the total effect was mediated via GlycA (indirect effect: 0.8 dB HL, 95% CI 0.1-1.4). Children with obesity had hearing thresholds 1.3 dB HL (95% CI 0.2-2.5) higher than those with normal BMI, of which 67% (indirect effect: 0.9 dB HL, 95% CI 0.4-1.4) was mediated via GlycA. Similar mediation effects were noted using other adiposity measures. Similar but less marked mediation effects were observed when hsCRP was used as the inflammatory biomarker (6-23% in adults and 23-33% in children). CONCLUSIONS: Inflammation may play an important mediating role in the modest hearing reductions associated with obesity, particularly in children. These findings offer insights into possible mechanisms and early prevention strategies for hearing loss.

Can adult polygenic scores improve prediction of body mass index in childhood?

BACKGROUND/OBJECTIVES: Modelling genetic pre-disposition may identify children at risk of obesity. However, most polygenic scores (PGSs) have been derived in adults, and lack validation during childhood. This study compared the utility of existing large-scale adult-derived PGSs to predict common anthropometric traits (body mass index (BMI), waist circumference, and body fat) in children and adults, and examined whether childhood BMI prediction could be improved by combining PGSs and non-genetic factors (maternal and earlier child BMI). SUBJECTS/METHODS: Participants (n = 1365 children, and n = 2094 adults made up of their parents) were drawn from the Longitudinal Study of Australian Children. Children were weighed and measured every two years from 0-1 to 12-13 years, and adults were measured or self-reported measurements were obtained concurrently (average analysed). Participants were genotyped from blood or oral samples, and PGSs were derived based on published genome-wide association studies. We used linear regression to compare the relative utility of these PGSs to predict their respective traits at different ages. RESULTS: BMI PGSs explained up to 12% of child BMI z-score variance in 10-13 year olds, compared with up to 15% in adults. PGSs for waist circumference and body fat explained less variance (up to 8%). An interaction between BMI PGSs and puberty (p = 0.001-0.002) suggests the effect of some variants may differ across the life course. Individual BMI measures across childhood predicted 10-60% of the variance in BMI at 12-13 years, and maternal BMI and BMI PGS each added 1-9% above this. CONCLUSION: Adult-derived PGSs for BMI, particularly those derived by modelling between-variant interactions, may be useful for predicting BMI during adolescence with similar accuracy to that obtained in adulthood. The level of precision presented here to predict BMI during childhood may be relevant to public health, but is likely to be less useful for individual clinical purposes.

Synthesizing Core Outcome Sets for outcomes research in cohort studies: a systematic review.

BACKGROUND: Life course studies are designed to "collect once, use multiple times" for observational and, increasingly, interventional research. Core Outcome Sets (COS) are minimum sets developed for clinical trials by multi-stakeholder consensus methodologies. We aimed to synthesize published COS that might guide outcomes selection for early life cohorts with an interventional focus. METHODS: We searched PubMed, Medline, COMET, and CROWN for COS published before January 2021 relevant to four life stages (pregnancy, newborns, children <8 years, and parents (adults aged 18-50 years)). We synthesized core outcomes into overarching constructs. RESULTS: From 46 COS we synthesized 414 core outcomes into 118 constructs. "Quality of life", "adverse events", "medication use", "hospitalization", and "mortality" were consistent across all stages. For pregnancy, common constructs included "preterm birth", "delivery mode", "pre-eclampsia", "gestational weight gain", "gestational diabetes", and "hemorrhage"; for newborns, "birthweight", "small for gestational age", "neurological damage", and "morbidity" and "infection/sepsis"; for pediatrics, "pain", "gastrointestinal morbidity", "growth/weight", "breastfeeding", "feeding problems", "hearing", "neurodevelopmental morbidity", and "social development"; and for adults, "disease burden", "mental health", "neurological function/stroke", and "cardiovascular health/morbidity". CONCLUSION: This COS synthesis generated outcome constructs that are of high value to stakeholders (participants, health providers, services), relevant to life course research, and could position cohorts for trial capabilities. IMPACT: We synthesized existing Core Outcome Sets as a transparent methodology that could prioritize outcomes for lifecourse cohorts with an interventional focus. "Quality of life", "adverse events", "medication use", "hospitalization", and "mortality" are important outcomes across pregnancy, newborns, childhood, and early-to-mid-adulthood (the age range relevant to parents). Other common outcomes (such as "birthweight", "cognitive function/ability", "psychological health") are also highly relevant to lifecourse research. This synthesis could assist new early life cohorts to pre-select outcomes that are of high value to stakeholders (participants, health providers, services), are relevant to lifecourse research, and could position them for future trials and interventional capability.

Does an inflammatory diet affect mental well-being in late childhood and mid-life? A cross-sectional study.

Inflammatory diets are increasingly recognised as a modifiable determinant of mental illness. However, there is a dearth of studies in early life and across the full mental well-being spectrum (mental illness to positive well-being) at the population level. This is a critical gap given that inflammatory diet patterns and mental well-being trajectories typically establish by adolescence. We examined the associations of inflammatory diet scores with mental well-being in 11-12-year-olds and mid-life adults. Throughout Australia, 1759 11-12-year-olds (49 % girls) and 1812 parents (88 % mothers) contributed cross-sectional population-based data. Alternate inflammatory diet scores were calculated from a twenty-six-item FFQ, based on the prior literature and prediction of inflammatory markers. Participants reported negatively and positively framed mental well-being via psychosocial health, quality of life and life satisfaction surveys. We used causal inference modelling techniques via generalised linear regression models (mean differences and risk ratios (RR)) to examine how inflammatory diets might influence mental well-being. In children and adults, respectively, a 1 sd higher literature-derived inflammatory diet score conferred between a 44 % (RR 95 % CI 1·2, 1·8) to 57 % (RR 95 % CI 1·3, 2·0) and 54 % (95 % CI 1·2, 2·0) to 86 % (RR 95 % CI 1·4, 2·4) higher risk of being in the worst mental well-being category (i.e. <16th percentile) across outcome measures. Results for inflammation-derived scores were similar. BMI mediated effects (21-39 %) in adults. Inflammatory diet patterns were cross-sectionally associated with mental well-being at age 11-12 years, with similar effects observed in mid-adulthood. Reducing inflammatory dietary components in childhood could improve population-level mental well-being across the life course.

Inequality in early childhood chronic health conditions requiring hospitalisation: A data linkage study of health service utilisation and costs.

BACKGROUND: The cost of socioeconomic inequality in health service use among Australian children with chronic health conditions is poorly understood. OBJECTIVES: To quantify the cost of socioeconomic inequality in health service use among Australian children with chronic health conditions. METHODS: Cohort study using a whole-of-population linked administrative data for all births in Queensland, Australia, between July 2015 and July 2018. Socioeconomic status was defined by an areas-based measure, grouping children into quintiles from most disadvantaged (Q1) to least disadvantaged (Q5) based on their postcode at birth. Study outcomes included health service utilisation (inpatient, emergency department, outpatient, general practitioner, specialist, pathology and diagnostic imaging services) and healthcare costs. RESULTS: Of the 238,600 children included in the analysis, 10.4% had at least one chronic health condition. Children with chronic health conditions in Q1 had higher rates of inpatient (6.6, 95% confidence interval [CI] 6.4, 6.7), emergency department (7.2, 95% CI 7.0, 7.5) and outpatient (20.3, 95% CI 19.4, 21.3) service use compared to children with chronic health conditions in Q5. They also had lower rates of general practitioner (37.5, 95% CI 36.7, 38.4), specialist (8.9, 95% CI 8.5, 9.3), pathology (10.7, 95% CI 10.2, 11.3), and diagnostic imaging (4.3, 95% CI 4.2,4.5) service use. Children with any chronic health condition in Q1 incurred lower median out-of-pocket fees than children in Q5 ($0 vs $741, respectively), lower median Medicare funding ($2710, vs $3408, respectively), and higher median public hospital funding ($31, 052 vs $23, 017, respectively). CONCLUSIONS: Children of most disadvantage are more likely to access public hospital provided services, which are accessible free of charge to patients. These children are less likely to access general practitioner, specialist, pathology and diagnostic imaging services; all of which are critical to the ongoing management of chronic health conditions, but often attract an out-of-pocket fee.

Multi-omics analysis from archival neonatal dried blood spots: limitations and opportunities.

Newborn screening (NBS) programs operate in many countries, processing millions of dried bloodspot (DBS) samples annually. In addition to early identification of various adverse health outcomes, these samples have considerable potential as a resource for population-based research that could address key questions related to child health. The feasibility of archival DBS samples for emerging targeted and untargeted multi-omics analysis has not been previously explored in the literature. This review aims to critically evaluate the latest advances to identify opportunities and challenges of applying omics analyses to NBS cards in a research setting. Medline, Embase and PubMed databases were searched to identify studies utilizing DBS for genomic, proteomic and metabolomic assays. A total of 800 records were identified after removing duplicates, of which 23 records were included in this review. These papers consisted of one combined genomic/metabolomic, four genomic, three epigenomic, four proteomic and 11 metabolomic studies. Together they demonstrate that the increasing sensitivity of multi-omic analytical techniques makes the broad use of NBS samples achievable for large cohort studies. Maintaining the pre-analytical integrity of the DBS sample through storage at temperatures below -20 °C will enable this important resource to be fully realized in a research capacity.

Potential indirect impacts of the COVID-19 pandemic on children: a narrative review using a community child health lens.

▪In this narrative review, we summarise the vast and burgeoning research on the potential and established indirect impacts on children of the COVID-19 pandemic. We used a community child health lens to organise our findings and to consider how Australia might best respond to the needs of children (aged 0-12 years). ▪We synthesised the literature on previous pandemics, epidemics and natural disasters, and the current COVID-19 pandemic. We found clear evidence of adverse impacts of the COVID-19 pandemic on children that either repeated or extended the findings from previous pandemics. ▪We identified 11 impact areas, under three broad categories: child-level factors (poorer mental health, poorer child health and development, poorer academic achievement); family-level factors that affect children (poorer parent mental health, reduced family income and job losses, increased household stress, increased abuse and neglect, poorer maternal and newborn health); and service-level factors that affect children (school closures, reduced access to health care, increased use of technology for learning, connection and health care). ▪There is increasing global concern about the likely disproportionate impact of the current pandemic on children experiencing adversity, widening existing disparities in child health and developmental outcomes. ▪We suggest five potential strategy areas that could begin to address these inequities: addressing financial instability through parent financial supplements; expanding the role of schools to address learning gaps and wellbeing; rethinking health care delivery to address reduced access; focusing on prevention and early intervention for mental health; and using digital solutions to address inequitable service delivery.

An Economic Evaluation of Australia's Newborn Hearing Screening Program: A Within-Study Cost-Effectiveness Analysis.

OBJECTIVES: Hearing loss is one of the most prevalent congenital disorders among children. Many countries have implemented universal newborn hearing screening (UNHS) for the early diagnosis and treatment of hearing loss. Despite widespread implementation, the value for money of UNHS is unclear due to lack of cost and outcomes data from rigorous study designs. The objective of this research is to conduct a within-study cost-effectiveness analysis of UNHS compared with targeted screening (targeting children with risk factors of hearing loss) from the Australian healthcare system perspective. This evaluation is the first economic evaluation to assess the cost-effectiveness of UNHS compared to targeted screening using real-world data from a natural experiment. DESIGN: The evaluation assumed the Australian healthcare system perspective and considered a time horizon of 5 years. Utilities were estimated using responses to the Health Utilities Index Mark III. Screening costs were estimated based on the Victorian Infant Hearing Screening Program. Ongoing costs were estimated based on administrative data, while external data sources were used to estimate costs related to hearing services. Missing data were handled using the multiple imputation method. Outcome measures included quality-adjusted life years (QALYs) and four language and communication-related outcomes: Peabody Picture Vocabulary Test, Wechsler Nonverbal Scale of Ability, Progressive Achievement Test, and comprehensive, expressive, and total language scores based on the Preschool Language Scale. RESULTS: On average, the UNHS cost an extra Australian dollar (A$)22,000 per diagnosed child and was associated with 0.45 more QALYs per diagnosed child compared with targeted screening to 5 years, resulting in an incremental cost-effectiveness ratio (ICER) of A$48,000 per QALY gained. The ICERs for language outcomes lay between A$3,900 (for expressive language score) and A$83,500 per one-point improvement in language score (for Wechsler Nonverbal Scale of Ability). UNHS had a 69% probability of being more cost-effective compared to targeted screening at a willingness to pay threshold of A$60,000 per QALY gained. ICERs were most sensitive to the screening costs. CONCLUSIONS: The evaluation demonstrated the usefulness of a within-study economic evaluation to understand the value for money of the UNHS program in the Australian context. Findings from this evaluation suggested that screening costs were the key driver of cost-effectiveness results. Most outcomes were not significantly different between UNHS and targeted screening groups. The ICER may be overestimated due to the short follow-up period. Further research is warranted to include long-term resource use and outcome data, late diagnosis, transition and remission between severity levels, and timing of diagnosis and treatment.

The role of Australian clinical quality registries in pregnancy care: A scoping review.

BACKGROUND: Pregnancy represents a time of increased morbidity and mortality for women and their infants. Clinical quality registries (CQRs) collect, analyse and report key healthcare quality indicators for patient cohorts to improve patient care. There are limited data regarding existing CQRs in pregnancy. This scoping review aimed to: (1) identify Australian CQRs specific to pregnancy care and describe their general characteristics; and (2) outline their aims and measured outcomes METHODS: The scoping review was undertaken according to Joanna Briggs Institute guidelines. CQRs were identified using a systematic approach from publications (Ovid MEDLINE, PubMed, Google Scholar), peer consultation, the Australian register of clinical registries and web searches. Details surrounding general characteristics, aims and outcomes were collated. RESULTS: We identified two primary sources of information about pregnancy care. (1) Six CQRs are specific to pregnancy (Australia and New Zealand twin-twin transfusion syndrome registry, Australian Pregnancy Register for women with epilepsy and those taking anti-epileptic drugs, National Register of Antipsychotic Medication in Pregnancy, Australasian Maternity Outcomes Surveillance System, Neonatal Alloimmune Thrombocytopaenia Registry and the Diabetes in Pregnancy clinical register). (2) Fourteen observational cohort studies were facilitated by non-pregnancy-specific CQRs where a subsection of patients underwent pregnancy. CONCLUSIONS: Australian CQRs currently report varied information regarding some selected conditions during pregnancy and offer therapeutic and epidemiological insight into their care. Further research into their effectiveness is warranted. We note the lack of a CQR spanning the common problems of pregnancy in general, where significant health, service and economic gains are possible.

Diet quality trajectories and cardiovascular phenotypes/metabolic syndrome risk by 11-12 years.

OBJECTIVE: To investigate associations between early-life diet trajectories and preclinical cardiovascular phenotypes and metabolic risk by age 12 years. METHODS: Participants were 1861 children (51% male) from the Longitudinal Study of Australian Children. At five biennial waves from 2-3 to 10-11 years: Every 2 years from 2006 to 2014, diet quality scores were collected from brief 24-h parent/self-reported dietary recalls and then classified using group-based trajectory modeling as 'never healthy' (7%), 'becoming less healthy' (17%), 'moderately healthy' (21%), and 'always healthy' (56%). At 11-12 years: During children's physical health Child Health CheckPoint (2015-2016), we measured cardiovascular functional (resting heart rate, blood pressure, pulse wave velocity, carotid elasticity/distensibility) and structural (carotid intima-media thickness, retinal microvasculature) phenotypes, and metabolic risk score (composite of body mass index z-score, systolic blood pressure, high-density lipoproteins cholesterol, triglycerides, and glucose). Associations were estimated using linear regression models (n = 1100-1800) adjusted for age, sex, and socioeconomic position. RESULTS: Compared to 'always healthy', the 'never healthy' trajectory had higher resting heart rate (2.6 bpm, 95% CI 0.4, 4.7) and metabolic risk score (0.23, 95% CI 0.01, 0.45), and lower arterial elasticity (-0.3% per 10 mmHg, 95% CI -0.6, -0.1) and distensibility (-1.2%, 95% CI -1.9, -0.5) (all effect sizes 0.3-0.4). Heart rate, distensibility, and diastolic blood pressure were progressively poorer for less healthy diet trajectories (linear trends p ≤ 0.02). Effects for systolic blood pressure, pulse wave velocity, and structural phenotypes were less evident. CONCLUSIONS: Children following the least healthy diet trajectory had poorer functional cardiovascular phenotypes and metabolic syndrome risk, including higher resting heart rate, one of the strongest precursors of all-cause mortality. Structural phenotypes were not associated with diet trajectories, suggesting the window to prevent permanent changes remains open to at least late childhood.

Backyard benefits? A cross-sectional study of yard size and greenness and children's physical activity and outdoor play.

BACKGROUND: The home environment is the most important location in young children's lives, yet few studies have examined the relationship between the outdoor home environment and child physical activity levels, and even fewer have used objectively measured exposures and outcomes. This study examined relationships between objectively assessed home yard size and greenness, and child physical activity and outdoor play. METHODS: Data were drawn from the HealthNuts study, a longitudinal study of 5276 children in Melbourne, Australia. We used cross-sectional data from a sample at Wave 3 (2013-2016) when participants were aged 6 years (n = 1648). A sub-sample of 391 children had valid accelerometer data collected from Tri-axial GENEActive accelerometers worn on their non-dominant wrist for 8 consecutive days. Yard area and greenness were calculated using geographic information systems. Objective outcome measures were minutes/day in sedentary, light, and moderate-vigorous physical activity (weekday and weekend separately). Parent-reported outcome measures were minutes/day playing outdoors (weekend and weekday combined). Multi-level regression models (adjusted for child's sex, mother's age at the birth of child, neighbourhood socioeconomic index, maternal education, and maternal ethnicity) estimated effects of yard size and greenness on physical activity. RESULTS: Data were available on outdoor play for 1648 children and usable accelerometer data for 391. Associations between yard size/greenness and components of physical activity were minimal. For example, during weekdays, yard size was not associated with daily minutes in sedentary behaviour (ß: 2.4, 95% CI: - 6.2, 11.0), light physical activity (ß: 1.4, 95% CI: - 5.7, 8.5) or MVPA (ß: -2.4, 95% CI: - 6.5, 1.7), with similar patterns at weekends. There was no relationship between median annual yard greenness and physical activity or play. CONCLUSION: In our study of young children residing in higher socio-economic areas of Melbourne yard characteristics did not appear to have a major impact on children's physical activity. Larger studies with greater variation in yard characteristics and identification of activity location are needed to better understand the importance of home outdoor spaces and guide sustainable city planning.

Insights into adolescent well-being from computerised analysis of written language.

AIM: To examine associations between patterns of language use and early adolescent well-being. METHODS: Participants were 1763 Australian 11- to 12-year-olds in the Child Health CheckPoint. Six patterns of language use were identified from a writing activity using Linguistic Inquiry and Word Count and factor analysis: Acting in the present and future, Positive emotion, Gender and relationships, Self-aware, Inquisitive and time focused, and Confident. Well-being measures represented a spectrum from negatively to positively framed psychosocial health. Associations between language use and well-being were estimated using linear regression adjusted for age, sex and social disadvantage. RESULTS: Positive emotion (high emotional tone, positive emotion) was associated with better general well-being (standardised regression coefficient (SRC) 0.05; 95% confidence interval 0.00 to 0.11; p = 0.04), life satisfaction (0.06; 0.01 to 0.11; p = 0.03), psychosocial health (0.07; 0.02 to 0.12; p = 0.01) and quality of life (QoL) (0.06; 0.01 to 0.11; p = 0.02). Similarly, Self-aware (high first person singular pronouns, authentic, low clout) was associated with better general well-being, life satisfaction and psychosocial health (SRC 0.05, 0.09, 0.08), but Confident (high clout, first person plural pronouns, affiliation) was associated with worse life satisfaction, psychosocial health and QoL (SRC -0.06, -0.09, -0.06). CONCLUSION: If replicated in 'real-world' settings (e.g., social media), language patterns could provide naturalistic insights into early adolescents' well-being.

Association of in utero antibiotic exposure on childhood ear infection trajectories: Results from a national birth cohort study.

AIM: Most prescribed medicines during pregnancy are antibiotics, with unknown effects on a fetus and on the infant's acquired microbiome. This study investigates associations between in utero antibiotic exposure and ear infection trajectories over the first decade of life, hypothesising effects on early or persistent, rather than later-developing, ear infections. METHODS: Design and participants: The Longitudinal Study of Australian Children birth cohort recruited a nationally-representative sample of 5107 infants in 2004. MEASURES: Mothers reported antibiotic use in pregnancy when a child was 3-21 months old (wave 1), and ongoing problems with ear infection every 2 years spanning ages 0-1 to 10-11 years (waves 1-6). ANALYSIS: Latent class models identified ear infection trajectories, and univariable and multivariable multinomial logistic regression determined odds of adverse trajectories by antibiotic exposure. RESULTS: A total of 4500 (88.1% of original sample) children contributed (mean baseline age 0.7 years; 51.3% boys); 10.4% of mothers reported antibiotic use in pregnancy. Four probability trajectories for ear infection emerged: 'consistently low' (86.2%), 'moderate to low' (5.6%), 'low to moderate' (6.7%) and 'consistently high' (1.4%). Antibiotic use in pregnancy was associated with children following 'consistently high' (adjusted odds ratio 2.04, 95% confidence interval 1.08-3.88, P = 0.03) and 'moderate to low' (adjusted odds ratio 1.78, 95% confidence interval 1.25-2.53, P = 0.001) trajectories. CONCLUSIONS: Antibiotic use in pregnancy is associated with an increased risk of persistent and early childhood ear infections. This highlights the wisdom of cautious antibiotic use during pregnancy, and the need for the study of potential mechanisms underlying these associations.

Maximizing Participant Engagement, Participation, and Retention in Cohort Studies Using Digital Methods: Rapid Review to Inform the Next Generation of Very Large Birth Cohorts.

BACKGROUND: Many current research needs can only be addressed using very large cohorts. In such studies, traditional one-on-one phone, face-to-face, or paper-based engagement may not be feasible. The only realistic mechanism for maintaining engagement and participation at this scale is via digital methods. Given the substantial investment being made into very large birth cohort studies, evidence for optimal methods of participant engagement, participation, and retention over sustained periods without in-person contact from researchers is paramount. OBJECTIVE: This study aims to provide an overview of systematic reviews and meta-analyses evaluating alternative strategies for maximizing participant engagement and retention rates in large-scale studies using digital methods. METHODS: We used a rapid review method by searching PubMed and Ovid MEDLINE databases from January 2012 to December 2019. Studies evaluating at least 1 e-engagement, participation, or retention strategy were eligible. Articles were screened for relevance based on preset inclusion and exclusion criteria. The methodological quality of the included reviews was assessed using the AMSTAR-2 (Assessing the Methodological Quality of Systematic Reviews 2) measurement tool, and a narrative synthesis of the data was conducted. RESULTS: The literature search yielded 19 eligible reviews. Overall, 63% (n=12) of these reviews reported on the effectiveness of e-engagement or participation promotion strategies. These evaluations were generally not conducted within very large observational digital cohorts. Most of the contributing reviews included multipurpose cohort studies (with both observational and interventional elements) conducted in clinical and research settings. Email or SMS text message reminders, SMS text messages or voice notifications, and incentives were the most commonly used design features to engage and retain participants. For parental outcomes, engagement-facilitation interventions influenced uptake and behavior change, including video feedback, goal setting, and intensive human facilitation and support. Participant-stated preferences for content included new knowledge, reminders, solutions, and suggestions about health issues presented in a clear, short, and personalized way. Perinatal and postpartum women valued self-monitoring and personalized feedback. Digital reminders and multiple SMS text messages were specific strategies that were found to increase adherence to medication and clinic attendance, respectively. CONCLUSIONS: This review adds to the growing literature evaluating methods to optimize engagement and participation that may apply to large-scale studies using digital methods; it is promising that most e-engagement and participation promotion strategies appear to be effective. However, these reviews canvassed relatively few strategies, suggesting that few alternative strategies have been experimentally evaluated. The reviews also revealed a dearth of experimental evidence generated within very large observational digital cohort studies, which may reflect the small number of such studies worldwide. Thus, very large studies may need to proactively build in experimental opportunities to test engagement and retention approaches to enhance the success of their own and other large digital contact studies.

Associations of retinal microvascular caliber with large arterial function and structure: A population-based study of 11 to 12 year-olds and midlife adults.

OBJECTIVE: We examined associations between retinal microvascular and large arterial phenotypes to explore relationships between the micro- and macro-vasculature in childhood and midlife. METHODS: Participants were 1288 children (11-12 years, 50.9% female) and 1264 adults (mean age 44 years, 87.6% female) in a cross-sectional population-based study. Exposures were retinal arteriolar and venular caliber quantified from retinal images. Outcomes included arterial function (pulse wave velocity; carotid arterial elasticity) and structure (carotid intima-media thickness). Multivariable regression models were performed adjusting for age, sex, and family socioeconomic position. RESULTS: In children, one standard deviation wider arteriolar caliber was associated with slower pulse wave velocity (-0.15 SD, 95% CI -0.21, -0.09) and higher elasticity (0.13 SD, 95% CI 0.06, 0.20); per SD wider venular caliber was associated with faster pulse wave velocity (0.09 SD, 95% CI 0.03, 0.15) and lower elasticity (-0.07 SD, 95% CI -0.13, -0.01). The size of adult associations was approximately double. Wider arteriolar caliber was associated with smaller carotid intima-media thickness (-0.09 SD, 95% CI -0.16, -0.03) in adults but not children. Venular caliber and carotid intima-media thickness showed little evidence of association. CONCLUSIONS: Narrower retinal arterioles and wider venules are associated with large arterial function as early as mid-childhood. Associations strengthen by midlife and also extend to arterial structure, although effect sizes remain small.

Do body mass index and waist-to-height ratio over the preceding decade predict retinal microvasculature in 11-12 year olds and midlife adults?

BACKGROUND/OBJECTIVES: Microvascular changes may contribute to obesity-associated cardiovascular disease. We examined whether body mass index (BMI) and waist-to-height ratio (WHtR) (1) at multiple earlier time points and (2) decade-long trajectories predicted retinal microvascular parameters in mid-childhood/adulthood. METHODS: Participants/design: 1288 11-12 year olds (51% girls) and 1264 parents (87% mothers) in the population-based Child Health CheckPoint (CheckPoint) module within the Longitudinal Study of Australian Children (LSAC). LSAC exposure measures: biennial BMI z-score and WHtR for children at five time points from age 2-3 to 10-11 years and self-reported parent BMI at six time points from child age 0-1 years to 10-11 years. CheckPoint outcome measures: retinal arteriolar and venular caliber. ANALYSES: BMI/WHtR trajectories were identified by group-based trajectory modeling; linear regression models estimated associations between BMI/WHtR at each time point/trajectories and later retinal vascular caliber, adjusted for age, sex, and family socioeconomic status. RESULTS: In time point analyses, higher child BMI/WHtR from age 4 to 5 years was associated with narrower arteriolar caliber at the age of 11-12 years, but not venular caliber. For example, each standard deviation higher in BMI z-score at 4-5 years was associated with narrower arteriolar caliber at 11-12 years (standardized mean difference (SMD): -0.05, 95% confidence interval (CI): -0.10 to 0.01); by 10-11 years, associations had doubled to -0.10 (95% CI: -0.16 to -0.05). In adults, these finding were similar, except the magnitude of BMI and arteriolar associations were similar across all time points (SMD: -0.11 to -0.13). In child and adult BMI trajectory analyses, less favorable trajectories predicted narrower arteriolar (p-trend < 0.05), but not venular (p-trend > 0.1), caliber. Compared with those in the average BMI trajectory, SMDs in arterial caliber for children and adults in the highest trajectory were -0.25 (95% CI: -0.44 to -0.07) and -0.42 (95% CI: -0.73 to -0.10), respectively. Venular caliber showed late associations with child WHtR, but not with BMI in children or adults. CONCLUSIONS: Associations of decade-long high BMI trajectories with narrowed retinal arteriolar caliber emerge in children, and are clearly evident by midlife. Adiposity appears to exert its early adverse life course impacts on the microcirculation more via arteriolar than venular mechanisms.

Early clinical markers of overweight/obesity onset and resolution by adolescence.

OBJECTIVES: We examined how combinations of clinical indicators at various ages predict overweight/obesity development, as well as resolution, by 10-11 and 14-15 years of age. METHODS: Data were derived from Birth (N = 3469) and Kinder (N = 3276) cohorts of the Longitudinal Study of Australian Children, followed from ages 2-3 and 4-5 years, respectively. Every two years, 25 potential obesity-relevant clinical indicators were quantified. Overweight/obesity was defined using International Obesity Taskforce cutpoints at 10-11 years and 14-15 years. RESULTS: In both cohorts, three factors predicted both development and resolution of overweight/obesity in multivariable models. Among normal weight children, increased odds of developing overweight/obesity were associated with higher child (odd ratio (OR) 1.67-3.35 across different study waves) and maternal (OR 1.05-1.09) BMI, and inversely with higher maternal education (OR 0.60-0.62, when assessed at age 2-7 years). Lower odds of resolving existing overweight/obesity were related with higher child (OR 0.51-0.79) and maternal (OR 0.89-0.95) BMI, and inversely with higher maternal education (OR 1.62-1.92, when assessed at age 2-5 years). The prevalence of overweight/obesity at the age of 14-15 years was 13% among children with none of these risk factors at age 6-7 years, compared with 71% among those with all 3 risk factors (P < 0.001). CONCLUSIONS: From early childhood onwards, child and maternal BMI and maternal education predict overweight/obesity onset and resolution by adolescence. A simple risk score, easily available to child health clinicians, could help target treatment or prevention.