About

Barry M. Lester, Ph.D., is a Professor of Psychiatry & Human Behavior and Pediatrics, and serves as the Director of the Brown Center for the Study of Children at Risk at the Brown Alpert Medical School and Women & Infants Hospital. His research focuses on understanding how biological and social factors influence child development, particularly in children at risk due to prenatal substance exposure, stress, maternal depression, prematurity, and environmental adversity. Dr. Lester's work investigates the mechanisms by which these factors affect neurodevelopmental, cognitive, emotional, and behavioral outcomes, including the role of epigenetic processes and physiological mechanisms such as heart rate variability and cortisol reactivity. Throughout his career, he has been extensively funded by federal agencies and has contributed over 250 peer-reviewed publications and 100 chapters and books. His research aims to develop preventive interventions to mitigate adverse developmental outcomes in vulnerable children.

Research topics

• Medicine
• Pediatrics
• Psychiatry
• Psychology
• Internal medicine
• Obstetrics
• Developmental psychology

Selected publications

• Host factors are associated with vaginal microbiome structure in pregnancy in the ECHO Cohort Consortium

  Scientific Reports · 2024 · 8 citations

  • Biology
  • Demography
  • Medicine

  Using pooled vaginal microbiota data from pregnancy cohorts (N = 683 participants) in the Environmental influences on Child Health Outcomes (ECHO) Program, we analyzed 16S rRNA gene amplicon sequences to identify clinical and demographic host factors that associate with vaginal microbiota structure in pregnancy both within and across diverse cohorts. Using PERMANOVA models, we assessed factors associated with vaginal community structure in pregnancy, examined whether host factors were conserved across populations, and tested the independent and combined effects of host factors on vaginal community state types (CSTs) using multinomial logistic regression models. Demographic and social factors explained a larger amount of variation in the vaginal microbiome in pregnancy than clinical factors. After adjustment, lower education, rather than self-identified race, remained a robust predictor of L. iners dominant (CST III) and diverse (CST IV) (OR = 8.44, 95% CI = 4.06-17.6 and OR = 4.18, 95% CI = 1.88-9.26, respectively). In random forest models, we identified specific taxonomic features of host factors, particularly urogenital pathogens associated with pregnancy complications (Aerococcus christensenii and Gardnerella spp.) among other facultative anaerobes and key markers of community instability (L. iners). Sociodemographic factors were robustly associated with vaginal microbiota structure in pregnancy and should be considered as sources of variation in human microbiome studies.

  PublisherOA PDFDOI

• The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort

  American Journal of Epidemiology · 2023 · 177 citations

  • Medicine
  • Environmental health
  • Gerontology

  The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort Study (EWC), a collaborative research design comprising 69 cohorts in 31 consortia, was funded by the National Institutes of Health (NIH) in 2016 to improve children's health in the United States. The EWC harmonizes extant data and collects new data using a standardized protocol, the ECHO-Wide Cohort Data Collection Protocol (EWCP). EWCP visits occur at least once per life stage, but the frequency and timing of the visits vary across cohorts. As of March 4, 2022, the EWC cohorts contributed data from 60,553 children and consented 29,622 children for new EWCP data and biospecimen collection. The median (interquartile range) age of EWCP-enrolled children was 7.5 years (3.7-11.1). Surveys, interviews, standardized examinations, laboratory analyses, and medical record abstraction are used to obtain information in 5 main outcome areas: pre-, peri-, and postnatal outcomes; neurodevelopment; obesity; airways; and positive health. Exposures include factors at the level of place (e.g., air pollution, neighborhood socioeconomic status), family (e.g., parental mental health), and individuals (e.g., diet, genomics).

  DOI

• Association of Antipsychotic Drug Exposure in Pregnancy With Risk of Neurodevelopmental Disorders

  JAMA Internal Medicine · 2022 · 61 citations

  • Medicine
  • Psychiatry
  • Obstetrics

  Importance: Although antipsychotic drugs cross the placenta and animal data suggest potential neurotoxic effects, information regarding human neurodevelopmental teratogenicity is limited. Objective: To evaluate whether children prenatally exposed to antipsychotic medication are at an increased risk of neurodevelopmental disorders (NDD). Design, Settings, and Participants: This birth cohort study used data from the Medicaid Analytic eXtract (MAX, 2000-2014) and the IBM Health MarketScan Research Database (MarketScan, 2003-2015) for a nationwide sample of publicly (MAX) and privately (MarketScan) insured mother-child dyads with up to 14 years of follow-up. The MAX cohort consisted of 2 034 883 children who were not prenatally exposed and 9551 who were prenatally exposed to antipsychotic medications; the MarketScan consisted of 1 306 408 and 1221 children, respectively. Hazard ratios were estimated through Cox proportional hazards regression, using propensity score overlap weights for confounding control. Estimates from both cohorts were combined through meta-analysis. Exposures: At least 1 dispensing of a medication during the second half of pregnancy (period of synaptogenesis), assessed for any antipsychotic drug, at the class level (atypical and typical), and for the most commonly used drugs (aripiprazole, olanzapine, quetiapine, risperidone, and haloperidol). Main Outcomes and Measures: Autism spectrum disorder, attention-deficit/hyperactivity disorder, learning disability, speech or language disorder, developmental coordination disorder, intellectual disability, and behavioral disorder, identified using validated algorithms, and the composite outcome of any NDD. Data were analyzed from April 2020 to January 2022. Results: The MAX cohort consisted of 2 034 883 unexposed pregnancies and 9551 pregnancies with 1 or more antipsychotic drug dispensings among women with a mean (SD) age of 26.8 (6.1) years, 204 (2.1%) of whom identified as Asian/Pacific Islander, 2720 (28.5%) as Black, 500 (5.2%) as Hispanic/Latino, and 5356 (56.1%) as White. The MarketScan cohort consisted of 1 306 408 unexposed and 1221 exposed pregnancies among women with a mean (SD) age of 33.1 (5.0) years; race and ethnicity data were not available. Although the unadjusted results were consistent with an approximate 2-fold increased risk for most exposure-outcome contrasts, risks were no longer meaningfully increased after adjustment (eg, pooled unadjusted vs adjusted hazard ratios [95% CI] for any NDD after any antipsychotic exposure: 1.91 [1.79-2.03] vs 1.08 [1.01-1.17]), with the possible exception of aripiprazole (1.36 [1.14-1.63]). Results were consistent across sensitivity analyses. Conclusions and Relevance: The findings of this birth cohort study suggest that the increased risk of NDD seen in children born to women who took antipsychotic drugs late in pregnancy seems to be explained by maternal characteristics and is not causally related with prenatal antipsychotic exposure. This finding highlights the importance of closely monitoring the neurodevelopment of the offspring of women with mental illness to ensure early intervention and support. The potential signal for aripiprazole requires replication in other data before causality can be assumed.

  DOI

• Association of Antidepressant Use During Pregnancy With Risk of Neurodevelopmental Disorders in Children

  JAMA Internal Medicine · 2022 · 86 citations

  • Medicine
  • Pediatrics
  • Psychiatry

  Importance: Antidepressant use during pregnancy has been associated with neurodevelopmental disorders in children in some studies. However, results may be explained by uncontrolled confounding by parental mental health status, genetics, and environmental factors. Objective: To evaluate the association between antidepressant use in pregnancy and neurodevelopmental outcomes in children. Design, Setting, and Participants: This cohort study of health care utilization data was separated into cohorts of publicly and privately insured pregnant individuals and their children nested in the Medicaid Analytic eXtract (MAX; 2000-2014) and the IBM MarketScan Research Database (MarketScan; 2003-2015). A total of 1.93 million pregnancies in MAX and 1.25 million pregnancies in MarketScan were recorded. Children were followed from birth until outcome diagnosis, disenrollment, death, or end of study (maximum 14 years). Analyses were conducted between August 2020 and July 2021. Exposures: Dispensing of antidepressant medication from gestational week 19 until delivery, the period of synaptogenesis. Main Outcomes and Measures: Neurodevelopmental disorders in children defined using validated algorithms. Early pregnancy exposure was considered in sensitivity analyses, and approaches to confounding adjustment included propensity score fine stratification, discontinuers comparison, and sibling analyses. Results: Among the individuals included in the analysis, there were 145 702 antidepressant-exposed and 3 032 745 unexposed pregnancies; the mean (SD) age among the antidepressant exposed and unexposed was 26.2 (5.7) and 24.3 (5.8) years in MAX and 32.7 (4.6) and 31.9 (4.6) years in MarketScan, respectively; and in MAX, which collected information on race and ethnicity, 72.4% of the antidepressant-exposed and 37.1% of the unexposed individuals were White. Crude results suggested up to a doubling in risk of neurodevelopmental outcomes associated with antidepressant exposure; however, no association was observed in the most fully adjusted analyses. When comparing antidepressant-exposed and unexposed siblings, hazard ratios were 0.97 (95% CI, 0.88-1.06) for any neurodevelopmental disorder, 0.86 (95% CI, 0.60-1.23) for autism spectrum disorder, 0.94 (95% CI, 0.81-1.08) for attention-deficit/hyperactivity disorder, 0.77 (95% CI, 0.42-1.39) for specific learning disorders, 1.01 (95% CI, 0.88-1.16) for developmental speech/language disorder, 0.79 (95% CI, 0.54-1.17) for developmental coordination disorder, 1.00 (95% CI, 0.45-2.22) for intellectual disability, and 0.95 (95% CI, 0.80-1.12) for behavioral disorders. Results were generally consistent for antidepressant classes and drugs and across exposure windows. Conclusions and Relevance: The results of this cohort study suggest that antidepressant use in pregnancy itself does not increase the risk of neurodevelopmental disorders in children. However, given strong crude associations, antidepressant exposure in pregnancy may be an important marker for the need of early screening and intervention.

  DOI

• Neurodevelopmental Disorders Among Publicly or Privately Insured Children in the United States

  JAMA Psychiatry · 2022 · 99 citations

  • Medicine
  • Psychiatry
  • Pediatrics

  IMPORTANCE: Neurodevelopmental disorders are associated with poor health and social outcomes. Population-based data on incidence, age at diagnosis, and demographic variations are essential to identify modifiable risk factors and inform the planning of services and interventions. OBJECTIVES: To assess the incidence and timing of diagnosis of neurodevelopmental disorders during childhood in the US and to evaluate differences by population characteristics. DESIGN, SETTING, AND PARTICIPANTS: This population-based cohort study used nationwide data on birth cohorts nested in the 2000-2014 Medicaid Analytic eXtract and the 2003-2015 IBM MarketScan Research Database on 2 070 541 publicly and 1 309 900 privately insured children enrolled at birth. Data were analyzed between May 1, 2020, and June 30, 2021. MAIN OUTCOMES AND MEASURES: Neurodevelopmental disorders, autism spectrum disorders, attention-deficit/hyperactivity disorder, learning disabilities, speech or language disorders, developmental coordination disorders, intellectual disabilities, and behavioral disorders were identified based on validated algorithms. Kaplan-Meier analyses were used to estimate the incidence and timing of diagnosis, stratified by child's sex, birth year, maternal age at delivery, and race and ethnicity. RESULTS: The cohorts comprised 2 070 541 publicly insured children (1 045 426 boys [50.5%]) and 1 309 900 privately insured children (667 607 boys [51.0%]) enrolled at birth. By 8 years of age, 23.9% of publicly insured children and 11.0% of privately insured children received a diagnosis of 1 or more neurodevelopmental disorders (autism spectrum disorder, 1.6% and 1.3%; attention-deficit/hyperactivity disorder, 14.5% and 5.8%; learning disability, 1.2% and 0.6%; speech or language disorder, 8.4% and 4.5%; developmental coordination disorder, 0.9% and 0.7%; intellectual disability, 0.7% and 0.1%; and behavioral disorder, 8.4% and 1.5%). Risks were substantially higher among boys (incidence of ≥1 neurodevelopmental disorder by age 8 years for boys vs girls: 30.7% vs 16.7% among publicly insured children and 15.0% vs 6.7% among privately insured children) and White children (30.2% vs 9.1% among Asian children, 23.0% among Black children, 15.4% among Hispanic children, and 22.7% among children of unknown race or ethnicity; information on race and ethnicity was available only for publicly insured children). The association of maternal age and birth year with incidence of neurodevelopmental disorders varied by outcome. Except for attention-deficit/hyperactivity disorder, the diagnosis tended to be established somewhat earlier for privately insured children. The association of race and ethnicity with age at diagnosis varied by outcome. Co-occurring neurodevelopmental disorders were common, especially among children with autism spectrum disorder and intellectual disability (>70% had ≥1 other disorder). CONCLUSIONS AND RELEVANCE: In this population-based cohort study, a relatively high incidence of and co-occurrence of neurodevelopmental disorders as well as the disparity in incidence and timing of diagnosis by insurance type and race and ethnicity were found. These findings represent important public health concerns and underscore the need for timely and accessible developmental assessments and educational services to help reduce the burden of these disorders.

  DOI

• Associations of Neighborhood Opportunity and Social Vulnerability With Trajectories of Childhood Body Mass Index and Obesity Among US Children

  JAMA Network Open · 2022 · 106 citations

  • Demography
  • Medicine
  • Gerontology

  Importance: Physical and social neighborhood attributes may have implications for children's growth and development patterns. The extent to which these attributes are associated with body mass index (BMI) trajectories and obesity risk from childhood to adolescence remains understudied. Objective: To examine associations of neighborhood-level measures of opportunity and social vulnerability with trajectories of BMI and obesity risk from birth to adolescence. Design, Setting, and Participants: This cohort study used data from 54 cohorts (20 677 children) participating in the Environmental Influences on Child Health Outcomes (ECHO) program from January 1, 1995, to January 1, 2022. Participant inclusion required at least 1 geocoded residential address and anthropometric measure (taken at the same time or after the address date) from birth through adolescence. Data were analyzed from February 1 to June 30, 2022. Exposures: Census tract-level Child Opportunity Index (COI) and Social Vulnerability Index (SVI) linked to geocoded residential addresses at birth and in infancy (age range, 0.5-1.5 years), early childhood (age range, 2.0-4.8 years), and mid-childhood (age range, 5.0-9.8 years). Main Outcomes and Measures: BMI (calculated as weight in kilograms divided by length [if aged <2 years] or height in meters squared) and obesity (age- and sex-specific BMI ≥95th percentile). Based on nationwide distributions of the COI and SVI, Census tract rankings were grouped into 5 categories: very low (<20th percentile), low (20th percentile to <40th percentile), moderate (40th percentile to <60th percentile), high (60th percentile to <80th percentile), or very high (≥80th percentile) opportunity (COI) or vulnerability (SVI). Results: Among 20 677 children, 10 747 (52.0%) were male; 12 463 of 20 105 (62.0%) were White, and 16 036 of 20 333 (78.9%) were non-Hispanic. (Some data for race and ethnicity were missing.) Overall, 29.9% of children in the ECHO program resided in areas with the most advantageous characteristics. For example, at birth, 26.7% of children lived in areas with very high COI, and 25.3% lived in areas with very low SVI; in mid-childhood, 30.6% lived in areas with very high COI and 28.4% lived in areas with very low SVI. Linear mixed-effects models revealed that at every life stage, children who resided in areas with higher COI (vs very low COI) had lower mean BMI trajectories and lower risk of obesity from childhood to adolescence, independent of family sociodemographic and prenatal characteristics. For example, among children with obesity at age 10 years, the risk ratio was 0.21 (95% CI, 0.12-0.34) for very high COI at birth, 0.31 (95% CI, 0.20-0.51) for high COI at birth, 0.46 (95% CI, 0.28-0.74) for moderate COI at birth, and 0.53 (95% CI, 0.32-0.86) for low COI at birth. Similar patterns of findings were observed for children who resided in areas with lower SVI (vs very high SVI). For example, among children with obesity at age 10 years, the risk ratio was 0.17 (95% CI, 0.10-0.30) for very low SVI at birth, 0.20 (95% CI, 0.11-0.35) for low SVI at birth, 0.42 (95% CI, 0.24-0.75) for moderate SVI at birth, and 0.43 (95% CI, 0.24-0.76) for high SVI at birth. For both indices, effect estimates for mean BMI difference and obesity risk were larger at an older age of outcome measurement. In addition, exposure to COI or SVI at birth was associated with the most substantial difference in subsequent mean BMI and risk of obesity compared with exposure at later life stages. Conclusions and Relevance: In this cohort study, residing in higher-opportunity and lower-vulnerability neighborhoods in early life, especially at birth, was associated with a lower mean BMI trajectory and a lower risk of obesity from childhood to adolescence. Future research should clarify whether initiatives or policies that alter specific components of neighborhood environment would be beneficial in preventing excess weight in children.

  DOI

Recent grants

• NIH Grant N01HD023159

  NIH · $4.8M · 2002

• NIH Grant U10DA024119

  NIH · $8.1M · 2013

Frequent coauthors

• Lyn LaGasse

  Providence College

  16 shared

• Michael E. Msall

  Comer Children's Hospital

  16 shared

• Jo‐Ann Blaymore Bier

  16 shared

• Michelle R. Tremont

  Harvard University

  16 shared

• Linda L. LaGasse

  Brown University

  15 shared

• Yanmin Zhu

  Brigham and Women's Hospital

  14 shared

• Krista F. Huybrechts

  Harvard University

  14 shared

• Loreen Straub

  Brigham and Women's Hospital

  14 shared

Education

• Ph.D.

  Brown University

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