Elective labor induction vs expectant management of pregnant women at term and children's educational outcomes at 8 years of age.

OBJECTIVE: To estimate the effect of elective induction of labor at 39 weeks' gestation on children's educational outcomes as measured using the Australian National Assessment Program-Literacy and Numeracy (NAPLAN) tests in school year 3 (∼8 years of age), compared with expectant management. METHODS: We merged perinatal data on all infants born in South Australia from 1999 to 2008 with children's school assessment data from NAPLAN. The study population included all singleton infants born without a malformation at 39-42 weeks in vertex presentation. Children who had undertaken the NAPLAN test in school year 3 were included. We excluded births to women who had a contraindication to vaginal delivery and those with a condition possibly justifying elective delivery before 39 weeks. The outcome of interest was children's educational outcome as measured using NAPLAN, which includes five learning domains (reading, writing, spelling, grammar and numeracy). Each domain was categorized according to performance at or below vs above the national minimum standard (NMS). Average treatment effects (ATEs) of elective induction of labor at 39 weeks compared with expectant management on the proportion of children performing at/below the NMS for each domain were estimated using the augmented inverse-propensity-weighted estimator, accounting for potential confounders. RESULTS: Of 53 843 children born at 39-42 weeks in vertex presentation from 1999 to 2008 and who were expected to participate in the year-3 NAPLAN from 2008 to 2015, a total of 31 120 had at least one year-3 NAPLAN domain. Of these, 1353 children were delivered after elective induction of labor at 39 weeks while 29 767 children were born following expectant management. The ATEs (mean differences) of elective induction of labor at 39 weeks compared with expectant management on the proportion of children scoring at/below the NMS on each domain were 0.01 (95% CI, -0.02 to 0.03) for reading, 0.02 (95% CI, 0.00-0.04) for writing, 0.01 (95% CI, -0.01 to 0.04) for spelling, 0.02 (95% CI, -0.01 to 0.04) for grammar and 0.03 (95% CI, 0.00-0.05) for numeracy. CONCLUSION: Elective induction of labor at 39 weeks did not affect children's standardized literacy and numeracy testing outcomes at 8 years of age when compared with expectant management. © 2020 International Society of Ultrasound in Obstetrics and Gynecology.

Estimating Bias Due to Unmeasured Confounding in Oral Health Epidemiology.

Confounding can make an association seem bigger when the true effect is smaller or vice-versa and it can also make it appear negative when it may actually be positive. In short, both the direction and the magnitude of an association are dependent on confounding. Therefore, understanding and adjusting for confounding in epidemiological research is central to addressing whether an observed association is causal or not. Moreover, unmeasured confounding in observational studies can give rise to biased estimates. Several techniques have been developed to account for bias and conducting sensitivity analysis. Using an hypothetical example this paper illustrates application of simple methods for conducting sensitivity analysis for unmeasured confounder(s).

Are trajectories of self-regulation abilities from ages 2-3 to 6-7 associated with academic achievement in the early school years?

BACKGROUND: The aim of this study was to estimate the association between two key aspects of self-regulation, 'task attentiveness' and 'emotional regulation' assessed from ages 2-3 to 6-7 years, and academic achievement when children were aged 6-7 years. METHODS: Participants (n = 3410) were children in the Longitudinal Study of Australian Children. Parents rated children's task attentiveness and emotional regulation abilities when children were aged 2-3, 4-5 and 6-7. Academic achievement was assessed using the Academic Rating Scale completed by teachers. Linear regression models were used to estimate the association between developmental trajectories (i.e. rate of change per year) of task attentiveness and emotional regulation, and academic achievement at 6-7 years. RESULTS: Improvements in task attentiveness between 2-3 and 6-7 years, adjusted for baseline levels of task attentiveness, child and family confounders, and children's receptive vocabulary and non-verbal reasoning skills at age 6-7 were associated with greater teacher-rated literacy [B = 0.05, 95% confidence interval (CI) = 0.04-0.06] and maths achievement (B = 0.04, 95% CI = 0.03-0.06) at 6-7 years. Improvements in emotional regulation, adjusting for baseline levels and covariates, were also associated with better teacher-rated literacy (B = 0.02, 95% CI = 0.01-0.04) but not with maths achievement (B = 0.01, 95% CI = -0.01-0.02) at 6-7 years. For literacy, improvements in task attentiveness had a stronger association with achievement at 6-7 years than improvements in emotional regulation. CONCLUSIONS: Our study shows that improved trajectories of task attentiveness from ages 2-3 to 6-7 years are associated with improved literacy and maths achievement during the early school years. Trajectories of improving emotional regulation showed smaller effects on academic outcomes. Results suggest that interventions that improve task attentiveness when children are aged 2-3 to 6-7 years have the potential to improve literacy and maths achievement during the early school years.

Impact of age, gender and indigenous status on access to diagnostic coronary angiography for patients presenting with non-ST segment elevation acute coronary syndromes in Australia.

Using Australian guidelines for management of acute coronary syndromes, we investigated the proportion of high-risk patients enrolled in the Acute Coronary Syndromes Prospective Audit registry who received a coronary angiogram. A prospective nationwide multicentre registry involving 39 Australian hospitals was used. The study cohort were patients with high-risk clinical features without ST segment elevation (n = 1948) admitted from emergency departments between 1 November 2005 and 31 July 2007. Eighty nine per cent of patients with ST segment elevation myocardial infarction and only 53% of eligible patients with high-risk acute coronary syndromes with no ST elevation received a diagnostic angiogram. Increasing age was associated with lower rates of angiography; a high-risk patient at the age of ≥ 70 years was 19% less likely to receive an angiogram than one at the age of <70 years (risk ratio (RR) = 0.81 95% confidence interval (CI) 0.76, 0.76). Women were 26% less likely than men to receive an angiogram (RR = 0.74; 95% CI = 0.65, 0.83). The adjusted RR from the multivariate analysis suggests that a patient at the age of ≥ 70 years was 35% less likely to receive an angiogram than one at the age of <70 years (RR = 0.65, 95% CI = 0.60, 0.73), and that women were 13% less likely than men to receive an angiogram (RR = 0.87, 95% CI = 0.80, 0.96). Indigenous patients were as likely to access angiography as eligible non-indigenous patients (RR = 1.03, 95% CI 0.85, 1.25). There is underinvestigation of high-risk patients without ST segment elevation in Australian hospitals, particularly for women and older patients. Indigenous patients are younger and have poorer risk profiles, and represent a group that would benefit from greater investment in prevention strategies.

Early Childhood Caries Intervention in Aboriginal Australian Children: A Cross-in Randomized Trial.

INTRODUCTION: Early childhood caries (ECC) is the strongest predictor of dental caries in adulthood. Indigenous children have higher levels of ECC compared with non-Indigenous children. The study aimed to estimate the efficacy of an ECC intervention among Aboriginal Australian children. METHODS: Baby Teeth Talk was an outcome assessor-blinded, closed-cohort cross-in randomized controlled trial conducted in South Australia, Australia. We randomly allocated 448 women pregnant with an Aboriginal child to either an immediate (II) or delayed (DI) intervention group between January 2011 and May 2012. The immediate intervention comprised (1) provision of dental care to mothers during pregnancy; (2) application of fluoride varnish to teeth of children at ages 6, 12; and 18 mo; (3) motivational interviewing delivered in conjunction; and (4) anticipatory guidance. Mothers/children in the DI group received the same intervention commencing when the child was 24 mo of age. The outcomes were assessed by the number of decayed, missing, and filled teeth (dmft) in children aged 24, 36, and 60 mo. Regression-based approaches with generalized linear mixed effect (log-Poisson) model characterized the mean dmft to estimate risk ratios (RRs) and 95% confidence intervals (95% CIs). RESULTS: A total of 223 participants were randomly allocated to the II group and 225 to the DI group. Three hundred sixty-five children (178 II, 187 DI) received at least 1 dental clinical examination at 24, 36, and 60 mo of follow-up. The mean dmft was lower in the II group (0.48, 1.32, and 2.06) than in the DI group (0.82, 1.90, and 3.29) at each time point, respectively. The direct ECC intervention effect was to prevent/decrease dental decay experience (dmft) occurrence by 84% (RR = 1.84, 95% CI: 1.20-2.48) after adjusting for all covariates. CONCLUSIONS: Our analysis indicated that the time-varied ECC intervention had immediate and longer-term effects on the prevention of ECC among Indigenous Australian children. KNOWLEDGE TRANSFER STATEMENT: The study aimed to estimate the efficacy of an early childhood caries (ECC) intervention among Aboriginal Australian children. The findings indicated that the culturally appropriate ECC intervention is effective for the preventive of ECC and can be used by clinicians, educators, and policy makers when planning an ECC intervention, so as to prevent and reduce ECC and meet identified oral health needs across the Australian population, which is important for preventive dental care.

Examining Bias and Reporting in Oral Health Prediction Modeling Studies.

Recent efforts to improve the reliability and efficiency of scientific research have caught the attention of researchers conducting prediction modeling studies (PMSs). Use of prediction models in oral health has become more common over the past decades for predicting the risk of diseases and treatment outcomes. Risk of bias and insufficient reporting present challenges to the reproducibility and implementation of these models. A recent tool for bias assessment and a reporting guideline-PROBAST (Prediction Model Risk of Bias Assessment Tool) and TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis)-have been proposed to guide researchers in the development and reporting of PMSs, but their application has been limited. Following the standards proposed in these tools and a systematic review approach, a literature search was carried out in PubMed to identify oral health PMSs published in dental, epidemiologic, and biostatistical journals. Risk of bias and transparency of reporting were assessed with PROBAST and TRIPOD. Among 2,881 papers identified, 34 studies containing 58 models were included. The most investigated outcomes were periodontal diseases (42%) and oral cancers (30%). Seventy-five percent of the studies were susceptible to at least 4 of 20 sources of bias, including measurement error in predictors (n = 12) and/or outcome (n = 7), omitting samples with missing data (n = 10), selecting variables based on univariate analyses (n = 9), overfitting (n = 13), and lack of model performance assessment (n = 24). Based on TRIPOD, at least 5 of 31 items were inadequately reported in 95% of the studies. These items included sampling approaches (n = 15), participant eligibility criteria (n = 6), and model-building procedures (n = 16). There was a general lack of transparent reporting and identification of bias across the studies. Application of the recommendations proposed in PROBAST and TRIPOD can benefit future research and improve the reproducibility and applicability of prediction models in oral health.

Modifiable Factors Explain Socioeconomic Inequalities in Children's Dental Caries.

The aim of this article was to quantify socioeconomic inequalities in dental caries experience among Australian children and to identify factors that explain area-level socioeconomic inequalities in children's dental caries. We used data from the National Child Oral Health Survey conducted in Australia between 2012 and 2014 (n = 24,664). Absolute and relative indices of socioeconomic inequalities in the dental caries experience in primary and permanent dentition (decayed, missing, and filled surfaces [dmfs] and DMFS, respectively) were estimated. In the first stage, we conducted multilevel negative binomial regressions to test the association between area-level Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD) and dental caries experience (dmfs for 5- to 8-y-olds and DMFS for 9- to 14-y-olds) after adjustment for water fluoridation status, sociodemographics, oral health behaviors, pattern of dental visits, and sugar consumption. In the second stage, we performed Blinder-Oaxaca and Neumark decomposition analyses to identify factors that explain most of the area-level socioeconomic inequalities in dental caries. Children had a mean dmfs of 3.14 and a mean DMFS of 0.98 surfaces. Children living in the most disadvantaged and intermediately disadvantaged areas had 1.96 (95% confidence interval, 1.69-2.27) and 1.45 (1.26-1.68) times higher mean dmfs and 1.53 (1.36-1.72) and 1.43 (1.27-1.60) times higher mean DMFS than those living in the most advantaged areas, respectively. Water fluoridation status (33.6%), sugar consumption (22.1%), parental educational level (14.2%), and dental visit patterns (12.7%) were the main factors explaining area-level socioeconomic inequalities in dental caries in permanent dentition. Among all the factors considered, the factors that contributed most in explaining inequalities in primary dental caries were dental visits (30.3%), sugar consumption (20.7%), household income (20.0%), and water fluoridation status (15.9%). The inverse area-level socioeconomic inequality in dental caries was mainly explained by modifiable risk factors, such as lack of fluoridated water, high sugar consumption, and an unfavorable pattern of dental visits.

Associations between dietary patterns at 6 and 15 months of age and sociodemographic factors.

BACKGROUND/OBJECTIVES: Data from the Avon Longitudinal Study of Parents and Children (ALSPAC) have previously shown that dietary patterns are observable by 3 years. However, it is not clear when dietary patterns emerge. We aimed to describe dietary patterns in early life and their associations with maternal and infant sociodemographic characteristics. SUBJECTS/METHODS: Principal component analysis was applied to diet questionnaires of ALSPAC participants at 6 months (n = 7052) and 15 months (n = 5610) to extract dietary patterns. The sociodemographic factors associated with dietary patterns were investigated using regression analyses. RESULTS: Four dietary patterns were extracted at both 6 and 15 months. A traditional-style pattern characterized by home-prepared meats, vegetables and desserts, a second pattern characterized by ready-prepared baby foods and a third pattern characterized by discretionary foods such as biscuits, sweets and crisps were identified at both ages. At 6 months, the fourth pattern was characterized predominantly by breastfeeding and at 15 months, by contemporary-style foods including herbs, legumes, nuts, raw fruit and vegetables. Higher maternal age and education, number of siblings and lower body mass index (BMI) was associated with higher scores on the breastfeeding or meat, vegetables and desserts patterns, whereas higher discretionary food pattern scores were associated with younger maternal age, lower education, higher BMI and more siblings. Associations between sociodemographic factors and the ready-prepared baby food pattern scores were inconsistent across ages. CONCLUSIONS: Dietary patterns emerge from infancy and are associated with sociodemographic characteristics.