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BACKGROUND AND OBJECTIVES: Pragmatic language skills form the foundation for conversational competence, whereas deficits in this area are associated with behavioral problems and low literacy skills. Children who are deaf or hard of hearing demonstrate significant delays in this critical area of language. Our purpose with this research was to identify variables associated with pragmatic language ability in children who are deaf or hard of hearing. METHODS: This was a longitudinal study of 124 children with bilateral hearing loss between 4 and 7 years of age living in Colorado. As part of a comprehensive speech and language assessment, pragmatic language skills were evaluated annually by using the Pragmatics Checklist. RESULTS: The children’s pragmatic skills increased significantly with age. Higher levels of pragmatic language ability at 7 years of age were predicted by (1) meeting Early Hearing Detection and Intervention 1-3-6 guidelines (hearing screening by 1 month, identification of hearing loss by 3 months, and receiving intervention by 6 months of age), (2) greater quantity of parent talk, (3) higher nonverbal intelligence, (4) lesser degrees of hearing loss, and (5) higher maternal education. CONCLUSIONS: With the findings of this study, we underscore the importance of pediatricians and other health care professionals counseling parents about the value of adherence to the Early Hearing Detection and Intervention 1-3-6 guidelines with regard to intervention outcomes. The strong association between amount of child-directed parent talk in the first 4 years of life and pragmatic language outcomes at 7 years of age emphasizes the need for professionals to encourage parents to talk to their children as much as possible.

In this population-based cohort of 1179 children 11 to 12 years of age, equivalent benefits to adiposity and HRQoL were associated with different changes (trade-offs) in activities. BACKGROUND Understanding equivalence of time-use trade-offs may inform tailored lifestyle choices. We explored which time reallocations were associated with equivalent changes in children’s health outcomes. METHODS Participants were from the cross-sectional Child Health CheckPoint Study (N = 1181; 11–12 years; 50% boys) nested within the population-based Longitudinal Study of Australian Children. Outcomes were adiposity (bioelectrical impedance analysis, BMI and waist girth), self-reported health-related quality of life (HRQoL; Pediatric Quality of Life Inventory), and academic achievement (standardized national tests). Participants’ 24-hour time use (sleep, sedentary behavior, light physical activity, and moderate-to-vigorous physical activity [MVPA]) from 8-day 24-hour accelerometry was regressed against outcomes by using compositional log-ratio linear regression models. RESULTS Children with lower adiposity and higher HRQoL had more MVPA (both P < .001) and sleep (P = .002; P = .008), and less sedentary time (P = .02; P = .001) and light physical activity (P < .001; P = .04), each relative to remaining activities. Children with better academic achievement had more sedentary time (P = .03) and less light physical activity (P = .006), each relative to remaining activities. A 0.1 standardized decrease in adiposity was associated with either 55 minutes more sleep, 89 minutes less sedentary time, 34 minutes less light physical activity, or 19 minutes more MVPA. A 0.1 standardized increase in HRQoL was associated with either 64 minutes more sleep, 65 minutes less sedentary time, 72 minutes less light physical activity, or 29 minutes more MVPA. CONCLUSIONS Equivalent differences in outcomes were associated with several time reallocations. On a minute-for-minute basis, MVPA was 2 to 6 times as potent as sleep or sedentary time.

* Abbreviations: NEC — : necrotizing enterocolitis NIRS — : near-infrared spectroscopy In this issue of Pediatrics, Howarth et al1 report on a completed longitudinal study of 46 preterm infants born at 15 million infants are born preterm (

C Leps, C Carson, MA Quigley. Arch Dis Child. 2018;103(12):1138–1144 Preterm infants have an increased rate of asthma in early childhood. The purpose of this study was to see if the likelihood of asthma persists until ages 7 and 11 years. Patients were gathered from the UK Millennium Cohort Longitudinal Study who were born in 2000 to 2001, recruited at 9 months of age, and had follow-up interviews at 3, 5, 7, and 11 years of age. Eleven thousand six hundred ninety patients were included in the 11-year analysis. Gestational age was categorized into preterm or

BACKGROUND: Physicians must balance career and home responsibilities, yet previous studies on work-life balance are focused primarily on work-based tasks. We examined gender discrepancies and factors related to household responsibilities and work-life balance among pediatricians. METHODS: We used 2015 data from the American Academy of Pediatrics Pediatrician Life and Career Experience Study, a longitudinal study of early-career pediatricians. χ2 tests and multivariable logistic regression were used to examine the effects of gender on household responsibilities, satisfaction, and work-life balance attainment. We formally reviewed responses from 2 open-ended questions on work-life balance challenges and strategies for common themes. RESULTS: Seventy-two percent of participants completed the survey (1293 of 1801). Women were more likely than men to report having primary responsibility for 13 of 16 household responsibilities, such as cleaning, cooking, and routine care of children (all P < .001). All gender differences except budget management remained significant when controlling for part-time work status and spouse or partner work status (P < .05). Women were less satisfied with their share of responsibilities relative to others (52% vs 62%; P < .001), and few women and men report being very successful at achieving balance between their job and other life areas (15% vs 19%, respectively; P = .05). Open-ended responses (n = 1145) revealed many barriers to achieving work-life balance. Strategies to increase work-life balance included reducing work hours, outsourcing household-related work, and adjustments to personal responsibilities and relationships. CONCLUSIONS: Female pediatricians spend more time on household responsibilities than male pediatricians, and gender is a key factor associated with work-life balance satisfaction.

BACKGROUND: The US physician workforce includes an increasing number of women, with pediatrics having the highest percentage. In recent research on physicians, it is indicated that men earn more than women. It is unclear how this finding extends to pediatricians. METHODS: We examined cross-sectional 2016 data on earnings from the American Academy of Pediatrics Pediatrician Life and Career Experience Study, a longitudinal study of early- and midcareer pediatricians. To estimate adjusted differences in pediatrician earnings between men and women, we conducted 4 ordinary least squares regression models. Model 1 examined gender, unadjusted; model 2 controlled for labor force characteristics; model 3 controlled for both labor force and physician-specific job characteristics; and model 4 controlled for labor force, physician-specific job, and work-family characteristics. RESULTS: Sixty-seven percent of Pediatrician Life and Career Experience Study participants completed the 2016 surveys (1213 out of 1801). The analytic sample was restricted to participants who completed training and worked in general pediatrics, hospitalist care, or subspecialty care (n = 998). Overall pediatrician-reported mean annual income was $189 804. Before any adjustment, women earned ∼76% of what men earned, or ∼$51 000 less. Adjusting for common labor force characteristics such as demographics, work hours, and specialty, women earned ∼87% of what men earned, or ∼$26 000 less. Adjusting for a comprehensive set of labor force, physician-specific job, and work-family characteristics, women earned ∼94% of what men earned, or ∼$8000 less. CONCLUSIONS: Early- to midcareer female pediatricians earned less than male pediatricians. This difference persisted after adjustment for important labor force, physician-specific job, and work-family characteristics. In future work, researchers should use longitudinal analyses and further explore family obligations and choices.

BACKGROUND: Because little is known about long-term effects of adolescent protective factors across multiple health domains, we examined associations between adolescent connectedness and multiple health-related outcomes in adulthood. METHODS: We used weighted data from Waves I and IV of the National Longitudinal Study of Adolescent to Adult Health (n = 14 800). Linear and logistic models were used to examine associations between family and school connectedness in adolescence and self-reported health risk behaviors and experiences in adulthood, including emotional distress, suicidal thoughts and attempts, physical violence victimization and perpetration, intimate partner physical and sexual violence victimization, multiple sex partners, condom use, sexually transmitted infection (STI) diagnosis, prescription drug misuse, and other illicit drug use. RESULTS: In multivariable analyses, school connectedness in adolescence had independent protective associations in adulthood, reducing emotional distress and odds of suicidal ideation, physical violence victimization and perpetration, multiple sex partners, STI diagnosis, prescription drug misuse, and other illicit drug use. Similarly, family connectedness had protective effects for emotional distress, all violence indicators, including intimate partner violence, multiple sex partners, STI diagnosis, and both substance use indicators. Compared to individuals with low scores for each type of connectedness, having high levels of both school and family connectedness was associated with 48% to 66% lower odds of health risk behaviors and experiences in adulthood, depending on the outcome. CONCLUSIONS: Family and school connectedness may have long-lasting protective effects across multiple health outcomes related to mental health, violence, sexual behavior, and substance use. Increasing both family and school connectedness during adolescence has the potential to promote overall health in adulthood.

OBJECTIVES: A comprehensive understanding of how timing of exposure to disadvantage affects long-term developmental risk is needed for greater precision in child health policy. We investigated whether socioeconomic disadvantage in infancy (age 0–1 years) directly affects academic and self-regulation problems in late childhood (age 10–12 years), independent of disadvantage at school entry (age 4–6 years). METHODS: Analyses were replicated in 2 population-based cohorts: the Australian Temperament Project (ATP; N = 2443) and the Longitudinal Study of Australian Children (LSAC; N = 5107). Generalized linear models were used to estimate the crude and adjusted effects. Marginal structural models were used to estimate the controlled direct effect of socioeconomic disadvantage in infancy on academic and self-regulation outcomes in late childhood, independent of disadvantage at school entry. RESULTS: In both cohorts, socioeconomic disadvantage in infancy and at school entry was associated with poorer academic and self-regulation outcomes. Socioeconomic disadvantage in infancy had a direct effect on academic outcomes not mediated by disadvantage at school entry (ATP: risk ratio [RR] = 1.42; 95% confidence interval [CI]: 1.09–1.86; LSAC: RR = 1.87; 95% CI: 1.52–2.31). Little evidence was found for a direct effect of disadvantage in infancy on self-regulation (ATP: RR = 1.22; 95% CI: 0.89–1.65; LSAC: RR = 1.19; 95% CI: 0.95–1.49). CONCLUSIONS: Socioeconomic disadvantage in infancy had a direct effect on academic but not self-regulation outcomes in late childhood. More precise public policy responses are needed that consider both the timing of children’s exposure to disadvantage and the specific developmental domain impacted.

BACKGROUND: Previous studies have had inconsistent findings regarding the quantity and frequency of prenatal alcohol exposure (PAE) that lead to deficits in growth and neurodevelopment. This may be due to imprecise methods of exposure classification. Our objective in this study was to employ longitudinal trajectory modeling of maternal drinking patterns associated with infant growth or neurodevelopmental deficits to a homogenous sample of mothers and infants. METHODS: From a sample of 471 pregnant women prospectively enrolled in a longitudinal study in the Ukraine, we performed a longitudinal cluster analysis of drinking patterns across gestation. We employed multivariable regression analyses to determine if each trajectory group was associated with infant weight, length, or head circumference at birth or psychomotor or mental deficits in infancy. RESULTS: We identified 5 distinct PAE trajectory groups: minimal or no PAE throughout gestation, low-to-moderate PAE with discontinuation early in gestation, low-to-moderate PAE sustained across gestation, moderate-to-high PAE with reduction early in gestation, and high PAE sustained across gestation. The highest-trajectory group was associated with deficits in infant weight and length at birth and deficits in psychomotor and mental performance at 6 to 12 months of age. Although confidence intervals overlapped, low-to-moderate sustained use was more strongly associated with most negative infant outcomes than moderate-to-high PAE with early reduction. CONCLUSIONS: With these findings, we confirm that high, sustained PAE confers the highest risk for adverse infant outcomes but demonstrate that even low-to-moderate PAE continued across gestation is associated with certain deficits. This approach may be used to help clinicians identify high-risk infants for targeted early intervention.

Background: In the preliminary results of a longitudinal study, we gathered a baseline insight into students’ sleeping habits, activity levels and anxiety. The results showed that the seventh grade (now eighth grade) students reported mild anxiety, played sports non-competitively and slept recommended by the National Sleep Foundation (NSF). In the second year of this study, we continue to look at the trends of sleep, athletic performance and emotional wellness. Methods: 40 eight grade students were administered an ActiGraph watch to …

KA Robbins, RA Wood, CA Keet. J Allergy Clin Immunol . 2020;145(2):713–716.e4 To determine the long-term effects of persistent cow’s milk (CM) or peanut (PN) and/or tree nut allergy (TN) on growth past childhood age. A retrospective chart review of 191 children with persistent IgE–mediated allergy to CM or PN and/or TN at age 9 seen at the John Hopkins Pediatric Allergy Clinic from November 1994 to March 2015. Patients adhered to a strict elimination diet and had clinic visits between the ages of 2–4, 5–8, and 9–12 years. Clinical data and anthropometric measurements were collected at all visits for patients …

YC Chen, HY Fan, C Yang, YL Lee. Allergy. 2020;75(4):892–900 To explore the correlation, if any, between precocious puberty on the incidence of asthma and any combined effect of early puberty and being overweight. The data were obtained using the Taiwan Children Health Study of children 11–17 years old (2991 children). Parents, or patients themselves if they were 17 years old, completed a questionnaire to classify the child’s asthma. Staging of puberty was performed in 112 patients; 12-year-old children were assessed using a questionnaire and definitions were derived using the Tanner composite stage …

Z Liao, KE Lamb, D Burgner. Arch Dis Child. 2020;105(7):664–670 To assess associations between cesarean delivery and the development of childhood asthma, eczema, and impaired lung function. The study included data from two contemporary population-based, longitudinal studies of allergic diseases in Australian children, HealthNuts ( n = 3135) and Longitudinal Study of Australian Children (LSAC, n = 3654), at age 6–7 years old and lung function data from LSAC’s Child Health CheckPoint ( n = 1502) at age 11–12 years old. Parent-reported data on delivery mode at baseline and child’s current asthma and eczema were extracted from HealthNuts and LSAC …

OBJECTIVES: To examine profiles of infant regulatory behaviors and associated family characteristics in a community sample of 12-month-old infants and mental health difficulties at 5 and 11 years of age. METHODS: Items relating to demographic characteristics, maternal distress, and infant regulation were completed by 1759 mothers when their infants were 8 to 12 months old. The Strengths and Difficulties Questionnaire was completed by mothers at child ages 5 (n = 1002) and 11 (n = 871) years. RESULTS: Analyses revealed 5 profiles ranging from the most settled infants (36.8%) to those with mainly sleep problems (25.4%), isolated mild-to-moderate tantrums (21.3%), complex regulatory difficulties (13.2%), and complex and severe regulatory difficulties (3.4%). Compared with those in the settled profile, children in the moderately unsettled profile were more likely to score in the clinical range for total difficulties at 11 years of age (odds ratio [OR] 2.85; 95% confidence interval [CI]: 1.28 to 6.36; P < .01), and children in the severely unsettled profile were more likely to score in the clinical range at 5 (OR 9.35; 95% CI: 2.49 to 35.11; P < .01) and 11 years of age (OR 10.37; 95% CI: 3.74 to 28.70; P < .01). CONCLUSIONS: Infants with multiple moderate-to-severe regulatory problems experience substantially heightened odds of clinically significant mental health concerns during childhood, and these symptoms appear to worsen over time. Clinicians must inquire about the extent, complexity, and severity of infant regulatory problems to identify those in the most urgent need of intervention and support.

BACKGROUND: Research shows that the development of cardiometabolic disease can begin early in life with risk factors accumulating over time, but less is known about protective pathways to positive health. In this study, we use prospective data to test whether childhood assets predict a greater likelihood of being in optimal cardiometabolic health by age 17. METHODS: Data are from 3074 participants in the Avon Longitudinal Study of Parents and Children (mean age = 17.8). Four childhood assets were prospectively assessed via cognitive tests and parent report when children were between ages 8 and 10: strong executive functioning skills, prosocial behaviors, and low levels of internalizing and externalizing problems. Cardiometabolic health was assessed at ages 9 and 17 by using a composite dysregulation score derived from multiple biological parameters, including cholesterol, blood pressure, C-reactive protein, insulin resistance, and BMI. Associations between assets and optimal health at age 17 (ie, a dysregulation score of ≤1) were evaluated with Poisson regression models with robust error variances. RESULTS: After controlling for covariates (including sociodemographics, correlates of cardiometabolic health, and dysregulation scores at age 9), participants with multiple assets were 1.08 to 1.27 times more likely to be in optimal cardiometabolic health at age 17 compared with those with 0 or 1 asset. Each additional asset conferred a 6% greater likelihood of optimal health over time (relative risk = 1.06 [95% confidence interval: 1.01 to 1.11]). CONCLUSIONS: Childhood assets predicted cardiometabolic health with seemingly cumulative impacts. Identifying early assets may provide novel targets for prevention and elucidate pathways to positive adult health.

BACKGROUND: Little is known about the characteristics of electronic cigarettes (e-cigarettes) used by adolescents. Understanding the product landscape of adolescent e-cigarette use may inform counseling and policy strategies. METHODS: Results are from 13 651 adolescents in wave 1 and 12 172 adolescents in wave 2 of the Population Assessment of Tobacco and Health Study, a nationally representative longitudinal study. Past 30-day regular e-cigarettes users were asked about the characteristics of the e-cigarette they used most of the time. RESULTS: In waves 1 and 2, 2.1% and 2.8% of adolescents were regular users in the past 30 days, respectively. These adolescents more often used rechargeable rather than disposable devices (wave 1: 76.0%; wave 2: 82.9%) and refillable rather than nonrefillable devices (wave 1: 66.6%; wave 2: 84.4%) and tended not to use cartridge systems (wave 1: 33.7%; wave 2: 30.5%). Most adolescent past 30-day users (wave 1: 87.5%; wave 2: 89.4%) reported using flavored e-cigarettes. An increased frequency of use was associated with the use of rechargeable (wave 1 adjusted odds ratio [aOR]: 2.7; wave 2 aOR: 2.7) and refillable e-cigarettes (wave 1 aOR: 2.0; wave 2 aOR: 2.7; P < .05). Most users in wave 1 did not continue regular use in wave 2 (70.2%). Among those who continued to use and had reported using closed systems (nonrechargeable and/or nonrefillable) in wave 1, most had progressed to open systems (rechargeable and refillable) in wave 2. CONCLUSIONS: Most adolescents use open-system e-cigarettes, and frequent users are even more likely to use open-system e-cigarettes. The majority of regular users use rechargeable devices that are refillable. A change in product preferences across waves suggests a starter product phenomenon, with a graduation to products that have weaker quality controls and may increase health risks.

D Clifford, C Ni Chaoimh, E Stanley, J O’B Hourihane. Pediatr Allergy Immunol. 2019;30(1):93–98 To prospectively determine the incidence of Hymenoptera stings in children

Is the lack of a prognostic tool to assist clinicians in identifying youth at risk of transitioning from never to ever smoking a major barrier to counseling? Sylvestre et al1 address this in a longitudinal study of 12- to 13-year-olds in Montreal. They start with 58 candidate items on youth tobacco use initiation and monitor these early adolescents closely from 1999 to 2005, finding that 12 variables (age, 4 worry or stress items, 1 depression item, 2 self-esteem items, and 4 alcohol or tobacco items) are a best fit in predicting which youth go on to be among the ∼16% who were nonsmokers at baseline and then puffed on a cigarette during the coming year. The authors’ statistical analysis and use of modeling are elegant, and they call attention to an important and often overlooked fact that a first puff of a cigarette is a sentinel event that can rapidly lead to nicotine dependence and sustained smoking. However, the assumptions made by the authors in the question they posed, and thus the tool they developed, raise concerns that … Address correspondence to Jonathan D. Klein, MD, MPH, FAAP, Department of Pediatrics, University of Illinois at Chicago, 840 S Wood St, MC 856, Chicago, IL 60612. E-mail: jonklein{at}uic.edu

BACKGROUND AND OBJECTIVES: Although prenatal alcohol and nicotine exposure are associated with reduced cognition in children, associations between consumption of alcohol during lactation and cognition have not been examined. We aimed to examine whether drinking or smoking while breastfeeding lowers children’s cognitive scores. We hypothesized that increased drinking or smoking would be associated with dose-dependent cognitive reductions. METHODS: Data were sourced from Growing Up in Australia: The Longitudinal Study of Australian Children. Participants were 5107 Australian infants recruited in 2004 and assessed every 2 years. Multivariable linear regression analyses assessed relationships between drinking and smoking habits of breastfeeding mothers and children’s Matrix Reasoning, Peabody Picture Vocabulary Test–Third Edition and Who Am I? scores at later waves. RESULTS: Increased or riskier wave 1 maternal alcohol consumption was associated with reductions in Matrix Reasoning scores at age 6 to 7 years in children who had been breastfed (B = −0.11; SE = 0.03; 95% confidence interval: −0.18 to −0.04; P = .01). This relationship was not evident in infants who had never breastfed (B = −0.02; SE = 0.10; 95% confidence interval = −0.20 to 0.17; P = .87). Smoking during lactation was not associated with any outcome variable. CONCLUSIONS: Exposing infants to alcohol through breastmilk may cause dose-dependent reductions in their cognitive abilities. This reduction was observed at age 6 to 7 years but was not sustained at age 10 to 11 years. Although the relationship is small, it may be clinically significant when mothers consume alcohol regularly or binge drink. Further analyses will assess relationships between alcohol consumption or tobacco smoking during lactation and academic, developmental, physical, and behavioral outcomes in children.

BACKGROUND: Cigarettes have been strongly associated with subsequent marijuana use among adolescents, but electronic cigarettes (e-cigarettes) are now rapidly replacing traditional cigarettes among youth. This study examines associations between youth e-cigarette use and subsequent marijuana use in a national sample. METHODS: Youth (aged 12–17 years) never marijuana users at wave 1 (n = 10 364; 2013–2014) from the Population Assessment of Tobacco and Health study were followed-up in 1 year (wave 2, 2014–2015). Multivariable logistic regressions were performed to evaluate associations between e-cigarette use at wave 1 and ever/heavy marijuana use in the past 12 months (P12M) and at wave 2. RESULTS: Among never marijuana users, e-cigarette ever use (versus never use) at wave 1 was associated with increased likelihood of marijuana P12M use (adjusted odds ratio [aOR] = 1.9; 95% confidence interval [CI]: 1.4–2.5) at wave 2. There was a significant interaction between e-cigarette use and age (P < .05) with aOR = 2.7 (95% CI: 1.7–4.3) for adolescents aged 12 to 14 and aOR = 1.6 (95% CI: 1.2–2.3) for adolescents aged 15 to 17. The association with heavy marijuana use was significant among younger adolescents (aOR = 2.5; 95% CI: 1.2–5.3) but was not among older adolescents. Heavier e-cigarette use at wave 1 yielded higher odds of P12M and heavy marijuana use at wave 2 for younger adolescents. CONCLUSIONS: E-cigarette use predicts subsequent marijuana use among youth, with a stronger associations among young adolescents. Reducing youth access to e-cigarettes may decrease downstream marijuana use.

OBJECTIVES: The prevalence of childhood obesity is significantly higher among racial and/or ethnic minority children in the United States. It is unclear to what extent well-established obesity risk factors in infancy and preschool explain these disparities. Our objective was to decompose racial and/or ethnic disparities in children’s weight status according to contributing socioeconomic and behavioral risk factors. METHODS: We used nationally representative data from ∼10 700 children in the Early Childhood Longitudinal Study Birth Cohort who were followed from age 9 months through kindergarten entry. We assessed the contribution of socioeconomic factors and maternal, infancy, and early childhood obesity risk factors to racial and/or ethnic disparities in children’s BMI z scores by using Blinder-Oaxaca decomposition analyses. RESULTS: The prevalence of risk factors varied significantly by race and/or ethnicity. African American children had the highest prevalence of risk factors, whereas Asian children had the lowest prevalence. The major contributor to the BMI z score gap was the rate of infant weight gain during the first 9 months of life, which was a strong predictor of BMI z score at kindergarten entry. The rate of infant weight gain accounted for between 14.9% and 70.5% of explained disparities between white children and their racial and/or ethnic minority peers. Gaps in socioeconomic status were another important contributor that explained disparities, especially those between white and Hispanic children. Early childhood risk factors, such as fruit and vegetable consumption and television viewing, played less important roles in explaining racial and/or ethnic differences in children’s BMI z scores. CONCLUSIONS: Differences in rapid infant weight gain contribute substantially to racial and/or ethnic disparities in obesity during early childhood. Interventions implemented early in life to target this risk factor could help curb widening racial and/or ethnic disparities in early childhood obesity.

* Abbreviation: E-cigarette — : electronic cigarette In a longitudinal study in this month’s issue of Pediatrics , Bold et al1 examined past-month cigarette and electronic cigarette (e-cigarette) use in high school students from 2013 to 2015 in Connecticut. They found that having used an e-cigarette in the past month significantly and strongly predicted combustible cigarette use. The odds of e-cigarette use at each wave predicting future cigarette use was 7.08 from wave 1 to 2 and 3.87 from wave 2 to 3. Not surprisingly, e-cigarette use leads to traditional product use. In contrast, traditional combustible cigarette use did not predict future e-cigarette use. And a substantial proportion of both cigarette and e-cigarette users progressed to heavy use, reporting that they smoked 21 to 30 days in the past month at the 2-year follow-up. This is consistent with patterns of use seen with young people’s increasing addiction to nicotine in numerous studies.2 E-cigarette products were not part of … Address correspondence to Jonathan D. Klein, MD, MPH, Pediatrics, University of Illinois at Chicago, 820 S. Wood St, Chicago, IL 60612. E-mail: jonklein{at}uic.edu

BACKGROUND AND OBJECTIVES: Parents often do not accurately perceive overweight and/or obesity in their children. Changing this is widely considered an essential first step to reducing child overweight, but recent research suggests that, in fact, this could promote greater weight gain. We aimed to determine the directionality over time between higher child adiposity and parental perception of child overweight. METHODS: Participants were from 2 cohorts of the population-based Longitudinal Study of Australian Children followed biennially since 2004. Repeated measures of BMI z scores and parental perceptions of overweight were available for the kindergarten cohort at 6 waves (ages 4–5, 6–7, 8–9, 10–11, 12–13, and 14–15 years; n = 4632) and for the birth cohort at 4 waves (ages 2–3, 4–5, 8–9, and 10–11 years; n = 4445). Bidirectionality between overweight perception and BMI z score was examined by using cross-lagged regression models. RESULTS: In both cohorts, wave-on-wave lagged effects were strong (all: P < .001) but much larger from BMI z score to parent perception. For every unit increase in the BMI z score, the odds of a child being perceived as overweight in the next wave ranged from 2.9 (birth cohort: age 2–3 years) to 10.4 (kindergarten cohort: age 6–7 years). These effects were ∼3 to 12 times larger than the reverse, whereby the perception of overweight predicted 0.2 to 0.5 higher BMI z score in the next wave. CONCLUSIONS: Higher child BMI z scores strikingly predicted a subsequent parental perception of child overweight. Parent-perceived overweight preceded rising (not falling) BMI, but these effects were small. Clinician efforts to make parents aware of overweight may not be harmful but seem unlikely to improve children’s BMI status.

A Bedard, K Northstone, AJ Henderson, SO Shaheen. Eur Respir J. 2017;50(1):1700073 To assess the association between maternal consumption of free sugar during pregnancy and the development of respiratory and atopic diseases. The study included 14 541 pregnant women from the Avon Longitudinal Study of Parents and Children cohort. These pregnancies resulted in 13 972 children who were included in the study. Data on maternal diet in pregnancy were collected at 32 weeks by a food frequency questionnaire, which was used to ask about the daily consumption of 43 food …

L Paternoster, OEM Savenije, J Heron. J Allergy Clin Immunol. 2018;141(3):964–971 To identify distinct, longitudinal atopic dermatitis (AD) subphenotypes that could be reproduced in 2 independent cohorts and correlate temporal disease patterns with genetic and environmental mechanisms. In the study, we included 14 701 UK children ages 6 months to 16.5 years in the Avon Longitudinal Study of Parents and Children (ALSPAC) and 3963 Dutch children ages 3 months to 11 years in the Prevention and Incidence of Asthma and Mite Allergy (PIAMA) study. Parental questionnaires at set time points ascertained the presence of …

BACKGROUND AND OBJECTIVES: Concerns have been raised about associations between cesarean delivery and childhood obesity and asthma. However, published studies have not examined the long-term neurodevelopmental outcomes or fully addressed confounding influences. We used data from the LSAC (Longitudinal Study of Australian Children) to explore the relationship between cesarean delivery and physical and socio-emotional outcomes from 0 to 7 years, taking into account confounding factors. METHODS: Data were from 5 waves of LSAC representing 5107 children born in 2003 and 2004. Outcome measures included: global health, asthma, BMI, use of prescribed medication, general development, medical conditions and/or disabilities, special health care needs, and socio-emotional development. Models adjusted for birth factors, social vulnerability, maternal BMI, and breastfeeding. RESULTS: Children born by cesarean delivery were more likely to have a medical condition at 2 to 3 years (odds ratio: 1.33; P = .03), use prescribed medication at 6 to 7 years (odds ratio: 1.26; P = .04), and have a higher BMI at 8 to 9 years (coefficient: 0.08; P = .05), although this last effect was mediated by maternal obesity. Parent-reported quality of life for children born by cesarean delivery was lower at 8 to 9 years (coefficient: –0.08; P = .03) but not at younger ages. Contrasting this finding, cesarean delivery was associated with better parent-reported global health at 2 to 3 years (odds ratio: 1.23; P = .05) and prosocial skills at age 6 to 7 years (coefficient: 0.09; P = .02). CONCLUSIONS: Cesarean delivery was associated with a mix of positive and negative outcomes across early childhood, but overall there were few associations, and these were not consistent across the 5 waves. This study does not support a strong association between cesarean delivery and poorer health or neurodevelopmental outcomes in childhood.

BACKGROUND: The systemic responses to burns (in particular, elevated levels of catecholamines and stress hormones) have been shown to have an impact on cardiac function for at least 3 years in children with burns. However, it is not clear if these changes lead to long-term effects on the heart. The aim of this study was to assess whether pediatric burn injury is associated with increased long-term hospital use for circulatory diseases. METHODS: A population-based longitudinal study was undertaken using linked hospital and death data from Western Australia for children younger than 15 years when hospitalized for a first burn injury (n = 10 436) in 1980–2012 and a frequency matched noninjury comparison cohort, randomly selected from Western Australia’s birth registrations (n = 40 819). Crude admission rates and cumulative length of stay for circulatory diseases were calculated. Negative binomial and Cox proportional hazards regression modeling were used to generate incidence rate ratios and hazard ratios, respectively. RESULTS: After adjustment for demographic factors and preexisting health status, the burn cohort had 1.33 (incidence rate ratio) times (95% confidence interval [CI]: 1.08–1.64) as many circulatory system hospitalizations, 2.26 times the number of days in hospital with a diagnosis of a circulatory disease (2.26, 95% CI: 1.06–4.81), and were at a higher risk of incident admissions (hazard ratio 1.22, 95% CI: 1.03–1.46), compared with the uninjured cohort. CONCLUSIONS: Children who sustain burn injury experience elevated hospital admission rates and increased length of hospital stay for diseases of the circulatory system for a prolonged period of time after burn discharge.

BACKGROUND: Very preterm (VP; gestational age METHODS: The Bavarian Longitudinal Study is a prospective geographically defined cohort study that followed 260 VP/VLBW and 229 term-born individuals from birth to adulthood. Data on cognitive function were assessed with developmental and IQ tests at 5 and 20 months and at 4, 6, 8, and 26 years of age. RESULTS: Across all assessments, VP/VLBW individuals had significantly lower IQ scores than term-born controls, even when individuals with severe cognitive impairment (n = 69) were excluded. IQ scores were found to be more stable over time for VP/VLBW than term-born individuals, yet differences in stability disappeared when individuals with cognitive impairment were excluded. Adult IQ could be predicted with fair certainty (r > 0.50) from age 20 months onward for the whole VP/VLBW sample (n = 260) and from 6 years onward for term-born individuals (n = 229). CONCLUSIONS: VP/VLBW individuals more often suffer from cognitive problems across childhood into adulthood and these problems are relatively stable from early childhood onward. VP/VLBW children’s risk for cognitive problems can be reliably diagnosed at the age of 20 months. These findings provide strong support for the timing of cognitive follow-up at age 2 years to plan special support services for children with cognitive problems.

BACKGROUND AND OBJECTIVES: There is a lack of evidence on the value of head circumference (HC) as a screening measure. We aimed to describe the incidence of head centile shifting and the relationship between extremes of head size and later neurodevelopmental problems in the Avon Longitudinal Study of Parents and Children. METHODS: HC was measured routinely at 2, 9, and 18 or 24 months and by researchers at ages 4, 8, 12, and 18 months. IQ according to the Wechsler Intelligence Scale for Children was measured in research clinics at age 8 for all. Neurocognitive disorders (NCDs) were identified from chart review. RESULTS: There were 10 851 children with ≥2 head measurements. At each age, 2% to 3% of children had scores that were < −2 or >2 SDs below or above the mean, but for most children this was only found at 1 age. More than 15% of children showed centile shifts, but less than one-third of these were sustained at subsequent measurements. Only 0.5% showed a sustained shift beyond the normal range. Children with consistently small heads were up to 7 times more likely to have an NCD, but 85% of children with small heads had no NCDs, and 93% of children with NCDs had head SD scores within the normal range. CONCLUSIONS: Centile shifts within the normal range occur commonly and seem mainly to reflect measurement error. This finding makes robust assessment of the head trajectory difficult and may result in many children being investigated unnecessarily. Extreme head size is neither specific nor sensitive for detecting NCDs, suggesting that routine measurement of HC is unhelpful.