Faculty Bibliography

OBJECTIVE:To estimate the prevalence of perinatal cannabis use (ie, before and/or during pregnancy); document the frequency, modes, and motivations for use; and identify predictors of perinatal cannabis use. METHODS:Six states in the Pregnancy Risk Assessment Monitoring System, a state-specific, population-based surveillance system, administered a supplemental questionnaire on perinatal cannabis use in 2016-2018. Women with live births were surveyed 2-6 months postpartum about behaviors ≤3 months preconception and during pregnancy. Demographic, psychosocial, and behavioral characteristics were examined in relation to perinatal cannabis use using multinomial regression models. Those who: (1) never used cannabis, (2) only used in preconception period, and (3) used in both preconception and prenatal periods were compared. RESULTS:Among 6428 respondents, 379 (5.8%) used cannabis preconceptionally only and 466 (4.4%) used in both the preconception and prenatal periods. Among those using prenatally, most reported smoking as their single mode (87.1%), with the two most common reasons being stress (83.8%) and nausea/vomiting (79.2%). Marital status, race/ethnicity, socioeconomic status, parity, and cigarette and alcohol use were significantly associated with perinatal cannabis use. Single (vs partnered) women were more likely to use cannabis prenatally (odds ratio = 2.4, 95% confidence interval: 1.5, 3.9) and non-Hispanic Black (vs White) women were less likely to use prenatally (odds ratio = 0.4, 95% confidence interval: 0.2, 0.8). CONCLUSIONS:Using a population-based sample of US births in six states, several demographic, psychosocial, and behavioral characteristics were identified in relation to perinatal cannabis use. These data are valuable for counseling in prenatal care and investigations of health effects.

OBJECTIVES/OBJECTIVE:To assess the association between age of juice introduction and child anthropometry after the American Academy of Pediatrics changed their guidelines in 2017 to recommend delaying juice introduction until at least 12 months of age (previously 6 months), citing concerns of weight gain. STUDY DESIGN/METHODS:percentiles. Controlling for sociodemographic characteristics and parental BMI, we assessed the associations of age of juice introduction with child anthropometry. RESULTS:Prevalence of childhood obesity was 16.4% at 2-3 (n=1713) and 22.8% at 7-9 years (n=1283). Juice introduction at <6 versus ≥12 months was associated with higher weight-for-age Z score at 2-3 years (mean difference=0.21; 95% confidence interval 0.04-0.37). At 7-9 years, juice introduction at <6 versus ≥12 months was related to higher BMI-for-age (0.38; 0.12-0.64) and weight-for-age Z scores (0.27; 0.06-0.49). Risk of developing overweight/obesity and obesity was 1.54 (0.99-2.38) and 2.17 (1.11-4.23) times higher among children with juice introduced at <6 months. No associations were found with juice introduced at 6-<12 vs ≥12 months. CONCLUSIONS:Risk of developing overweight/obesity or obesity is higher among children introduced to juice before 6 months of age compared with ≥12 months.

Previous studies have provided data on determinants of phthalates in pregnant women, but results were disparate across regions. We aimed to identify the food groups and demographic factors that predict phthalate exposure in an urban contemporary pregnancy cohort in the US. The study included 450 pregnant women from the New York University Children's Health and Environment Study in New York City. Urinary concentrations of 22 phthalate metabolites, including metabolites of di-2-ethylhexylphthalate (DEHP), were determined at three time points across pregnancy by liquid chromatography coupled with tandem mass spectrometry. The Diet History Questionnaire II was completed by pregnant women at mid-pregnancy to assess dietary information. Linear mixed models were fitted to examine determinants of urinary phthalate metabolite concentrations. Using partial-linear single-index (PLSI) models, we assessed the major contributors, among ten food groups, to phthalate exposure. Metabolites of DEHP and its ortho-phthalate replacement, diisononyl phthalate (DiNP), were found in >90% of the samples. The sum of creatinine-adjusted DiNP metabolite concentrations was higher in older and single women and in samples collected in summer. Hispanic and non-Hispanic Black women had lower urinary concentrations of summed metabolites of di-n-octyl phthalate (DnOP), but higher concentrations of low molecular weight phthalates compared with non-Hispanic White women. Each doubling of grain products consumed was associated with a 20.9% increase in ∑DiNP concentrations (95%CI: 4.5, 39.9). PLSI models revealed that intake of dried beans and peas was the main dietary factor contributing to urinary ∑DEHP, ∑DiNP, and ∑DnOP levels, with contribution proportions of 76.3%, 35.8%, and 27.4%, respectively. Urinary metabolite levels of phthalates in pregnant women in NYC varied by age, marital status, seasonality, race/ethnicity, and diet. These results lend insight into the major determinants of phthalates levels, and may be used to identify exposure sources and guide interventions to reduce exposures in susceptible populations.

OBJECTIVE:To determine if feeding problems are an indicator of developmental delay. STUDY DESIGN/METHODS:percentile across time. The Battelle Developmental Inventory (BDI-2) assessed development in 5 domains for a subset of children at 4 years. RESULTS:In adjusted analyses, feeding problems (per point increase) were increasingly associated with six ASQ domains from 18 months (Odds Ratios (ORs) ranged from 1.30 to 1.98) to 24 months (ORs = 2.07 - 2.69) to 30 months (ORs = 3.90 - 5.64). Compared with children who never experienced feeding problems, children who experienced high feeding problems at one or two time points were more than twice as likely to fail all ASQ domains (ORs = 2.10 - 2.50), and children who experienced high feeding problems at all three time points were four or more times as likely to fail all ASQ domains (ORs = 3.94 - 5.05). Children with one-point higher feeding problems at 30 months scored 3-4 points lower on all BDI-2 domains at 4 years. CONCLUSIONS:Frequent feeding problems, especially those that persist into the third year, could be used to identify children at risk for developmental delay for more targeted screening.

While definitions vary, endocrine-disrupting chemicals (EDCs) have two fundamental features: their disruption of hormone function and their contribution to disease and disability. The unique vulnerability of children to low-level EDC exposures has eroded the notion that only the dose makes the thing a poison, requiring a paradigm shift in scientific and policy practice. In this review, we discuss the unique vulnerability of children as early as fetal life and provide an overview of epidemiological studies on programming effects of EDCs on neuronal, metabolic, and immune pathways as well as on endocrine, reproductive, and renal systems. Building on this accumulating evidence, we dispel and address existing myths about the health effects of EDCs with examples from child health research. Finally, we provide a list of effective actions to reduce exposure, and subsequent harm that are applicable to individuals, communities, and policy-makers. Expected final online publication date for the Annual Review of Pharmacology and Toxicology, Volume 62 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Prenatal exposure to nonpersistent chemicals such as phthalates, bisphenols, and organophosphate (OP) pesticides is ubiquitous and occurs in mixtures. So far, epidemiological studies investigating neurodevelopmental consequences of these exposures have mainly been restricted to single-pollutant models. Thus, we studied the association between prenatal exposure to nonpersistent chemical mixtures and child IQ and emotional and behavioral problems. Data came from 782 mother-child pairs. Eleven phthalate, one bisphenol, and five OP pesticide urinary exposure biomarkers were measured three times during pregnancy and averaged. Nonverbal IQ, internalizing and attention problems, aggressive behavior, and autistic traits were assessed at child age 6 years. We used quantile g-computation to estimate the change in each outcome per quartile increase in all chemicals within the mixture. Higher exposure to the mixture was associated with lower nonverbal IQ (-4.0 points (95%CI = -7.0, -1.0), -5.5 points (95%CI = -10.2, -0.9), and -4.6 points (95%CI = -10.8, 1.5) for the second, third, and fourth quartile, respectively, compared to the first quartile). These results were mainly driven by the phthalate mixture. No association was observed with emotional and behavioral problems. Prenatal exposure to nonpersistent chemical mixtures was associated with lower nonverbal IQ in children. Exposure to chemical mixtures during gestation is universal and may impact neurodevelopment.

Early in the pandemic, in the North American epicenter, we investigated associations between sociodemographic factors and rates of pediatric COVID-19 diagnoses in a non-clinical setting and whether symptoms varied by child age. From 20 April-31 August 2020, COVID-19-related data were collected on 2694 children aged ≤ 18 years living in households participating in the New York University Children's Health and Environment Study. We examined differences in rates of subjective and objective diagnoses according to sociodemographic characteristics and differences in reported symptoms by child age. Children of women who were non-Hispanic White, had private health insurance, higher income, or more education were more likely to be diagnosed via WHO criteria or healthcare provider. Children of women who were Hispanic or Asian, reported low income, had less education, or were/lived with an essential worker were more likely to test positive. Older children were less likely to experience cough or runny nose and more likely to experience muscle/body aches, sore throat, headache, and loss of smell or taste than younger children. In conclusion, relying on subjective disease ascertainment methods, especially in the early stage of an outbreak when testing is not universally available, may misrepresent the true prevalence of disease among sociodemographic subgroups. Variations in symptoms by child age should be considered when determining diagnostic criteria.

Women are nearly twice as likely to develop mood disorders compared with men, and incidence is greatest during reproductive transitions, including pregnancy and postpartum. Because these periods are characterized by dramatic hormonal and physiologic changes, there is heightened susceptibility to external factors, such as exposure to environmental toxicants, which may play a role in maternal psychopathology. The purpose of this scoping review was to provide an overview of studies conducted in humans and animal models on the effects of nonoccupational exposure to environmental chemicals on maternal psychopathology during the perinatal period. The largest number of studies examined exposure to environmental tobacco smoke and antenatal depression and showed consistently positive findings, although more prospective studies using biomarkers for exposure assessment are needed. The few studies examining persistent organic pollutants such as polybrominated diphenyl ethers and perinatal depression were consistent in showing associations with increased depressive symptoms. Results were mixed for exposure to heavy metals and non-persistent chemicals, but a strong literature in animal models supported an association between bisphenols and phthalates and reduced maternal behavior and care of pups after parturition. Biological mechanisms may include endocrine disruption, neurotransmitter system impairment, alterations in gene expression, and immune activation and inflammation. Additional longitudinal studies that include biospecimen collection are essential to furthering the understanding of how environmental toxicants during pregnancy may affect perinatal psychopathology and the underlying mechanisms of action. Future work should also leverage the parallels between animal and human maternal behavior, thereby highlighting the opportunity for multidisciplinary work in this avenue.

BACKGROUND:The American Academy of Pediatrics recommends that if parents choose to introduce juice, they wait until ≥12 months, citing concerns of obesity and dental caries. OBJECTIVES/OBJECTIVE:We sought to identify correlates of early juice introduction (<6 months) and determine whether early introduction establishes a pattern of sugary beverage intake in childhood. METHODS:Upstate KIDS is a prospective birth cohort study with follow-up through 7 years (n = 4989). The age of juice introduction was assessed from responses on periodic questionnaires from 4-18 months and categorized as <6,  6 to <12, and ≥12 months. Sociodemographic information was reported using vital records or maternal questionnaires. At 24, 30, and 36 months and 7 years, mothers reported their child's regular juice, soda, water, and milk intakes. The analysis was restricted to singletons and 1 randomly selected twin from each pair with information on juice introduction (n = 4067). We assessed associations of sociodemographic correlates with juice introduction using Cox proportional hazard models. The relations of juice introduction with beverage intake were evaluated using Poisson or logistic regression for adjusted risk ratios (aRR) or ORs, adjusting for sociodemographic covariates and total beverage intake. RESULTS:Of the mothers, 25% and 74% introduced juice prior to 6 and 12 months, respectively. Younger maternal age; black or Hispanic race/ethnicity; lower educational attainment; Special Supplemental Nutrition Program for Women, Infants, and Children participation (yes); smoking during pregnancy; a higher pre-pregnancy BMI; a lower household income; and living in a townhouse/condominium or mobile home were associated with earlier juice introduction. Earlier juice introduction was related to a higher childhood juice intake, any soda intake, and lower water intake, holding total beverage intake constant [aRR, 1.5 (95% CI: 1.3-1.7; P-trend < 0.0001); adjusted OR 1.6 (95% CI: 1.0-2.4; P-trend = 0.01); aRR 0.9 (95% CI: 0.8-0.9; P-trend < 0.0001), respectively]. CONCLUSIONS:Markers of lower socioeconomic status are strongly associated with earlier juice introduction, which, in turn, relates to sugary beverage intake in childhood, potentially replacing water.