Faculty Bibliography

OBJECTIVE:To study the associations between maternal polycystic ovary syndrome (PCOS) and hirsutism with offspring attention-deficit/hyperactivity disorder (ADHD), anxiety, conduct disorder, and behavioral problems. DESIGN/METHODS:Prospective birth cohort study. SETTING/METHODS:Not applicable. PATIENT(S)/METHODS:A total of 1,915 mother-child dyads. INTERVENTION(S)/METHODS:None. MAIN OUTCOME MEASURE(S)/METHODS:Maternal report of offspring ADHD, anxiety, or conduct disorder diagnosis at 7 to 8 years; emotional symptoms, behavioral problems (including peer relationship, conduct, hyperactivity/inattention), and prosocial problems measured with the Strengths and Difficulties Questionnaire (SDQ) at 7 years. RESULT(S)/RESULTS:Prevalence of PCOS and hirsutism were 12.0% and 3.9%; 84% of women with hirsutism had PCOS. After adjustment for sociodemographic covariates, prepregnancy body mass index, and parental history of affective disorders, children born to mothers with PCOS had higher risk of anxiety (adjusted risk ratio [aRR] 1.62; 95% confidence interval [CI], 1.02-2.57) and borderline emotional symptoms (aRR 1.66; 95% CI, 1.18-2.33) compared with children born to mothers without PCOS. The associations between maternal PCOS and offspring ADHD were positive but imprecise. Maternal hirsutism was related to a higher risk of children's ADHD (aRR 2.33; 95% CI, 1.28-4.24), conduct disorder (aRR 2.54; 95% CI 1.18-5.47), borderline emotional symptoms, peer relationship problems, and conduct problems (aRRs 2.61; 95% CI, 1.69-4.05; 1.92; 95% CI, 1.16-3.17; and 2.22; 95% CI, 1.30-3.79, respectively). CONCLUSION(S)/CONCLUSIONS:Maternal PCOS was associated with offspring anxiety, and hirsutism was related to other offspring behavioral problems. These findings should be interpreted with caution as replication is needed in prospective cohort studies that assess PCOS and hirsutism diagnoses using medical records.

BACKGROUND:Impaired neuromotor development is often one of the earliest observations in children with autism spectrum disorder (ASD). We investigated whether a genetic predisposition to developmental disorders was associated with nonoptimal neuromotor development during infancy and examined the genetic correlation between nonoptimal neuromotor development and autistic traits in the general population. METHODS:In a population-based cohort in The Netherlands (2002-2006), we calculated polygenic risk scores (PRSs) for ASD and attention-deficit/hyperactivity disorder (ADHD) using genome-wide association study summary statistics. In 1921 children with genetic data, parents rated autistic traits at 6 years of age. Among them, 1174 children (61.1%) underwent neuromotor examinations (tone, responses, senses, and other observations) during infancy (9-20 weeks of age). We used linear regressions to examine associations of PRSs with neuromotor scores and autistic traits. We performed a bivariate genome-based restricted maximum likelihood analysis to explore whether genetic susceptibility underlies the association between neuromotor development and autistic traits. RESULTS:Higher PRSs for ASD were associated with less optimal overall infant neuromotor development, in particular low muscle tone. Higher PRSs for ADHD were associated with less optimal senses. PRSs for ASD and those for ADHD both were associated with autistic traits. The single nucleotide polymorphism-based heritability of overall motor development was 20% (SE = .21) and of autistic traits was 68% (SE = .26). The genetic correlation between overall motor development and autistic traits was .35 (SE = .21, p < .001). CONCLUSIONS:We found that genetic liabilities for ASD and ADHD covary with neuromotor development during infancy. Shared genetic liability might partly explain the association between nonoptimal neuromotor development during infancy and autistic traits in childhood.

INTRODUCTION/BACKGROUND:Perfluoroalkyl substances (PFAS) were among various persistent organic pollutants suspected to have been released during the collapse of the World Trade Center (WTC) on 9/11. Evidence suggests PFAS may have cardiometabolic effects, including alterations in lipid profiles. This study evaluated the association between cord PFAS and lipids in a population prenatally exposed to the WTC disaster. STUDY POPULATION/METHODS:222 pregnant women in the Columbia University WTC birth cohort enrolled between December 13, 2001 and June 26, 2002 at hospitals located near the WTC site: Beth Israel, St. Vincent's, and New York University Downtown. METHODS:We evaluated the association between five cord blood PFAS (perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), perfluorohexanesulfonic acid (PFHxS), perfluorononanoic acid (PFNA), perfluorodecane sulfonate (PFDS)) and cord blood lipids (total lipids, total cholesterol, triglycerides). RESULTS:Median (interquartile range (IQR)) concentrations of PFAS were 6.32 (4.58-8.57), 2.46 (1.77, 3.24), 0.38 (0.25, 0.74), 0.66 (0.48, 0.95) and 0.11 (0.09, 0.16) ng/mL for PFOS, PFOA, PFNA, PFHxS and PFDS, respectively. Median (IQR) for lipids were 59.0 (51.5, 68.5) mg/dL for total cholesterol, 196.5 (170.5, 221.2) mg/dL for total lipids and 33.1 (24.2, 43.9) mg/dL for triglycerides. In fully adjusted models, several PFAS were associated with higher lipid levels, including evidence of a strong linear trend between triglycerides and both PFOA and PFHxS. CONCLUSIONS:Findings support previous evidence of an association between PFAS exposure and altered lipid profiles and add novel information on this relationship in cord blood, as well as for an understudied PFAS, PFDS.

Importance/UNASSIGNED:Many children begin interacting with screen media as early as infancy. Although screen time is associated with negative developmental consequences, few longitudinal studies in the United States have examined covariates of screen time among children under 3 years of age. Objectives/UNASSIGNED:To identify trajectories of screen time among children aged 1 to 3 years, to examine their association with screen use at 8 years of age, and to assess potential determinants of screen time. Design, Setting, and Participants/UNASSIGNED:This prospective birth cohort study included 3895 children (3083 singletons and 812 unrelated multiples) in New York State who had screen time data available for at least 1 time point from 1 to 3 years of age; 1156 children had data at 8 years. The study spanned September 4, 2007, through June 12, 2014, in the first phase, and August 29, 2014, through November 15, 2019, in the second phase. Data analysis for the present study was conducted from September 28, 2018, to July 15, 2019. Main Outcomes and Measures/UNASSIGNED:Maternal reports of children's television, movie, and computer game times were summed for total daily screen time at 12, 18, 24, 30, and 36 months of age. Two screen time trajectories (low and increasing use) were classified by cluster analysis, and logistic regression was used to model risk factors for the increasing trajectory. Children exhibiting the highest 10th percentile of screen use at each point were examined, and linear mixed models were used to identify risk factors of this high exposure category. Results/UNASSIGNED:Among the 3895 children included in the analysis (2031 boys [52.1%] and 1864 girls [47.9%]), median daily screen time increased from 30 (interquartile range, 0-60) minutes at 12 months of age to 120 (interquartile range, 75-200) minutes at 36 months of age. Of 1045 children with complete data at all 5 time points, 279 (26.7%) had an increasing screen time trajectory. Female child sex (adjusted odds ratio [aOR], 0.90; 95% CI, 0.81-0.99) and graduate school levels of paternal (aOR, 0.73; 95% CI, 0.56-0.95) and maternal (aOR, 0.60; 95% CI, 0.47-0.77) education, compared with having completed college, were associated with lower risk of increasing trajectory. Maternal nulliparity was associated with higher risk of increasing trajectory (aOR, 1.14; 95% CI, 1.00-1.30). Children with an increasing trajectory from 1 to 3 years of age had an additional 22 (95% CI, 11-33) minutes per day of screen time at 8 years of age. Covariates associated with the highest 10th percentile of screen exposure included paterman graduate school education compared with college (aOR, 0.63; 95% CI, 0.39-0.99), maternal graduate school education compared with college (aOR, 0.55; 95% CI, 0.37-0.82), maternal nulliparity (aOR, 1.98; 95% CI, 1.50-2.61), twins compared with singletons (aOR, 1.41; 95% CI, 1.05-1.91), non-Hispanic black compared with non-Hispanic white race/ethnicity (aOR, 4.77; 95% CI, 2.25-10.10), and type of care (home-based care aOR, 2.17 [95% CI, 1.38-3.41]; parental care aOR, 2.11 [95% CI, 1.41-3.15]) compared with center-based care. Conclusions and Relevance/UNASSIGNED:These findings suggest that a range of parental and child characteristics are associated with screen time. Screen time habits appear to track from as early as infancy, emphasizing the need for earlier interventions.

The clinical management of well-appearing febrile infants 7-60 days of age remains variable due in part to multiple criteria differentiating the risk of a serious bacterial infection. The purpose of this quality improvement study was to standardize risk stratification in the emergency department and length of stay in the inpatient unit by implementing an evidence-based clinical practice guideline (CPG).

Declining life expectancy and increasing all-cause mortality in the United States have been associated with unhealthy behaviors, socioecological factors, and preventable disease. A growing body of basic science, clinical research, and population health evidence points to the benefits of healthy behaviors, environments and policies to maintain health and prevent, treat, and reverse the root causes of common chronic diseases. Similarly, innovations in research methodologies, standards of evidence, emergence of unique study cohorts, and breakthroughs in data analytics and modeling create new possibilities for producing biomedical knowledge and clinical translation. To understand these advances and inform future directions research, The Lifestyle Medicine Research Summit was convened at the University of Pittsburgh on December 4-5, 2019. The Summit's goal was to review current status and define research priorities in the six core areas of lifestyle medicine: plant-predominant nutrition, physical activity, sleep, stress, addictive behaviors, and positive psychology/social connection. Forty invited subject matter experts (1) reviewed existing knowledge and gaps relating lifestyle behaviors to common chronic diseases, such as cardiovascular disease, diabetes, many cancers, inflammatory- and immune-related disorders and other conditions; and (2) discussed the potential for applying cutting-edge molecular, cellular, epigenetic and emerging science knowledge and computational methodologies, research designs, and study cohorts to accelerate clinical applications across all six domains of lifestyle medicine. Notably, federal health agencies, such as the Department of Defense and Veterans Administration have begun to adopt "whole-person health and performance" models that address these lifestyle and environmental root causes of chronic disease and associated morbidity, mortality, and cost. Recommendations strongly support leveraging emerging research methodologies, systems biology, and computational modeling in order to accelerate effective clinical and population solutions to improve health and reduce societal costs. New and alternative hierarchies of evidence are also be needed in order to assess the quality of evidence and develop evidence-based guidelines on lifestyle medicine. Children and underserved populations were identified as prioritized groups to study. The COVID-19 pandemic, which disproportionately impacts people with chronic diseases that are amenable to effective lifestyle medicine interventions, makes the Summit's findings and recommendations for future research particularly timely and relevant.

The authors would like to update some important data in the manuscript. In Table 4, the pesticide means were reported in µg/mL, which is incorrect. The correct units are ng/mL (nanograms/milliliter). The same typographical inaccuracy applies for data in the fourth paragraph of the discussion (with minimal values of 0.0020 µg/mL and maximal values of 2.63 µg/mL), where the correct units are also ng/mL [1]. [...].

BACKGROUND:Insufficient or excessive gestational weight gain are associated with increased risks of adverse birth and childhood outcomes. Increasing evidence suggests that exposure to bisphenols and phthalates may disrupt hormonal pathways and thereby influence gestational weight gain. OBJECTIVE:To examine the associations of early and mid-pregnancy bisphenol and phthalate urine concentrations with gestational weight gain. METHODS:In a population-based prospective cohort study among 1,213 pregnant women, we measured early and mid-pregnancy bisphenol and phthalate urine concentrations. Maternal anthropometrics before pregnancy were obtained by questionnaire and repeatedly measured at our research center during pregnancy. We used linear and logistic regressions to evaluate the associations of bisphenols and phthalates with total and period-specific gestational weight gain. RESULTS:Higher maternal total bisphenols and bisphenol S were associated with a lower total gestational weight gain at nominal level. Stratification by body mass index group showed that higher total bisphenols and bisphenol S were associated with lower total gestational weight gain specifically in normal weight women (respectively -509 g [95% CI -819, -198] and -398 g [95% CI -627, -169]). Each log unit increase in early pregnancy total bisphenol and bisphenol A urine concentrations were associated with lower mid- to late pregnancy gestational weight gain in the whole group (effect estimates -218 g/log unit increase [95% CI -334, -102] and -132 g/log unit increase [95% CI -231, -34], respectively). These associations were independent of mid-pregnancy compounds. Mid-pregnancy bisphenols and phthalates concentrations were not associated with gestational weight gain. DISCUSSION/CONCLUSIONS:Higher maternal bisphenol urine concentrations in early pregnancy may lead to reduced gestational weight in second half of pregnancy. Further research is needed to assess the effects of maternal bisphenols and phthalates urine concentrations on placental and fetal growth and development.