
George Papandonatos
· Professor of Biostatistics (R)VerifiedBrown University · Biostatistics
Active 1997–2026
About
George D. Papandonatos is a Professor of Biostatistics (Research) at Brown University, having joined the institution in 1998. His academic background includes a B.Sc. in Mathematics, Operational Research & Economics from the University of Essex, a Diploma in Statistics from the University of Kent, and both M.S. and Ph.D. degrees in Statistics from the University of Minnesota. His research focuses on behavioral medicine, epidemiology, and biostatistics, with extensive collaborations in areas such as lifestyle interventions and environmental exposure assessment. Dr. Papandonatos has served as Principal Investigator and project biostatistician on numerous NIH-funded projects, and has supervised multiple graduate thesis and dissertation projects. His work encompasses a broad range of public health issues, including smoking cessation, physical activity, cognitive aging, and environmental health, contributing significantly to the understanding of how environmental and behavioral factors influence health outcomes.
Research topics
- Medicine
- Family medicine
- Gerontology
- Computer Science
- Internal medicine
- Audiology
- Physical medicine and rehabilitation
- Simulation
- Endocrinology
- Biology
- Psychiatry
- Nursing
- Physical therapy
- Psychology
Selected publications
Blood Lead Concentrations and Depressive and Anxiety Symptoms in Childhood
JAMA Network Open · 2026-01-28
articleOpen accessImportance: Low-level lead exposure during early brain development is associated with lower cognitive abilities and externalizing behavioral problems in children. However, the association of lead exposure with depression and anxiety remains understudied, particularly in later childhood, when these symptoms often manifest. Objective: To examine associations between low-level, serial blood lead concentrations in children and symptoms of depression and anxiety and to investigate for periods of susceptibility. Design, Setting, and Participants: This cohort study used data from a prospective population of 218 caregiver-child dyads (218 children and 218 parents in the Health Outcomes and Measures of Environment [HOME] Study) recruited from 2003 to 2006 in Cincinnati, Ohio. Children and their families were followed up from the second trimester to age 12 years (2016-2019). Data were analyzed between June 2024 to November 2025. Exposure: Serial blood lead concentrations in children were measured at ages 1, 2, 3, 4, 5, 8, and 12 years. Main Outcomes and Measures: We measured self- and caregiver-reported child depressive and anxiety symptoms at age 12 years using the Behavioral Assessment System for Children-3 (BASC-3), Children's Depression Inventory-II (CDI-II), and Screen for Child Anxiety Related Disorders (SCARED). Results: Among 218 children (121 female [55.5%]; 78 Black [35.8%] and 140 White and other race or ethnicity [64.2%]; mean [SD] age, 12.4 [0.7] years), the median (IQR; range) mean within-child blood lead concentration was 9.6 (7.8 to 12.6; 4.8 to 32.4) μg/L. Each doubling in mean childhood blood lead concentrations was associated with increased risk of elevated child-reported depressive symptoms on the BASC-3 (relative risk [RR], 1.90; 95% CI, 1.00 to 3.66; P = .05) and increased risk of child- and caregiver-reported child depressive symptoms (RR, 1.76; 95% CI, 1.12 to 2.78; P = .02). By blood lead concentration, there were increasing adjusted mean differences in self-reported BASC-3 depression scores from age 1 year (1.82; 95% CI, -1.10 to 4.74; P = .22), a nonsignificant outcome, through age 8 years (3.22; 95% CI, 0.53 to 5.90; P = .02), a significant outcome. There were no associations between blood lead concentrations and self-reported depression measured with the Children's Depression Inventory-II or anxiety measured with the SCARED. Child sex and race did not modify these associations. Conclusions and Relevance: In this study, low-level childhood blood lead concentrations were associated with self-reported depressive symptoms in later childhood, with particularly large increases in risk for exposures occurring in late childhood and early adolescence. These findings suggest that lead exposure during childhood may be associated with mental health in later childhood, highlighting the need for continued efforts to prevent lead exposure.
Reliability and validity of the Rhode Island Mobile Cognitive Assessment Tool
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · 2026-01-01
articleOpen accessAbstract INTRODUCTION This study evaluated the reliability and validity of the Rhode Island Mobile Cognitive Assessment Tool (RIMCAT), a proctored digital cognitive screening test. METHODS One hundred older adult participants (healthy controls [HC] n = 50; cognitively impaired [CI], n = 50) completed the RIMCAT. RESULTS Test–retest reliability across 4 weeks was excellent. Internal consistency was high. RIMCAT total scores were significantly correlated with the Mini‐Mental State Examination and the Mattis Dementia Rating Scale. RIMCAT component scores were significantly correlated with corresponding in‐office neuropsychological measures. Logistic regression analysis of RIMCAT total scores correctly classified 77.9% of individuals as cognitively impaired or cognitively healthy. Receiver operating characteristic analysis revealed an optimal sensitivity of 84.8% and specificity of 79.6%. A second model, including total reaction time, correctly classified 83.2% of cases and resulted in sensitivity and specificity of 84.8% and 83.7%, respectively. DISCUSSION Results supported RIMCAT as an effective digital tool for cognitive screening of older adults in supervised settings.
Cumulative childhood lead exposure estimation and school-age IQ in a prospective birth cohort
Environmental Health · 2025-11-27
articleOpen accessBACKGROUND: Lead is a well-known neurotoxicant with no identified safe level. Prior studies found that childhood lead exposure is associated with decreased intelligence quotient (IQ) scores. However, most studies rely on a limited number of blood lead measurements. In this prospective pregnancy and birth cohort, we estimated cumulative childhood lead exposure using repeated blood lead concentrations and regression calibration, allowing for more accurate assessment of lead burden over time and its association with IQ. METHODS: This prospective study included 262 mother-child dyads from Greater Cincinnati enrolled in the Health Outcomes and Measures of the Environment (HOME) Study from 2003 to 2006. We obtained serial blood lead measurements and estimated cumulative childhood lead exposure using a regression calibration method. Outcome was assessed via Wechsler-based IQ testing at ages 5-12 years. We examined the association between estimated cumulative childhood lead exposure and child IQ using linear regression models. RESULTS: Our cohort had low levels of estimated lifetime average lead exposure (geometric mean: 1.21 μg/dL). Overall, estimated lead exposure decreased from age 12 months to time of IQ test. Cumulative childhood lead exposure estimate was associated with decreased IQ at ages 5-12 years in unadjusted analyses, but not after adjusting for maternal IQ, household income, reported prenatal vitamin use, Home Observation for Measurement of the Environment score, and maternal serum cotinine. Sensitivity analyses additionally adjusting for prenatal total folate did not markedly change our results. We assessed early-life, school-age, or concurrent blood lead exposure estimate in place of cumulative childhood lead exposure estimate and observed a similar pattern of results. CONCLUSIONS: We used a regression calibration method to leverage robust, repeated lead exposure data in our prospective pregnancy and birth cohort. In this cohort with low levels of lead exposure, cumulative childhood lead exposure estimate was negatively associated with school-age IQ in unadjusted analyses but not adjusted analyses. We considered sociodemographic and maternal factors previously associated with cognitive development. Our results suggest these factors may confound the association between low-level child lead exposure and child IQ.
Drug and Alcohol Dependence · 2025-06-21
articleSenior authorSubstance Abuse Treatment Prevention and Policy · 2025-11-02
articleOpen accessSenior authorOBJECTIVE: To examine patterns of abstinence from nicotine vaping and cannabis use among adolescent and young adult (YA) e-cigarette users in two text message vaping cessation trials. METHODS: Among adolescents with complete 7-month data (n = 1,016) at baseline, 25.4% were Exclusive E-cigarette Users (no past 30-day cannabis use) and 74.6% were Dual Users (past 30-day cannabis use). Among YAs with complete 7-month data (n = 1,829), 40.8% were Exclusive E-cigarette Users and 59.2% were Dual Users at baseline. Primary analyses examined the proportion of participants who were Dual Abstinent at 7-months by treatment arm differences. We also examined for interaction effects between baseline product use and vaping status at 7 months on cannabis use outcomes. RESULTS: At 7-months, adolescent categories of use were: Dual Abstinent, 31.7% (95% CI: 28.8, 34.6); Exclusive E-cigarette Users, 18.2% (95% CI: 15.9, 20.7); Exclusive Cannabis Users, 15.1% (95% CI: 12.9, 17.4); Dual Users, 35.0% (95% CI: 32.1, 38.1). Among YAs: Dual Abstinent, 15.6% (95% CI: 13.9, 17.3); Exclusive E-cigarette Users, 29.4% (95% CI: 27.3, 31.6); Exclusive Cannabis Users, 12.8% (95% CI: 11.3, 14.5); Dual Users, 42.2% (95% CI: 39.9, 44.5). Intervention outperformed Control in promoting rates of Dual Abstinence among adolescents (38.5% vs. 25.0%, p < 0.0001) and YAs (17.9% vs. 13.3%, p = 0.007). A higher proportion of Exclusive E-cigarette Users compared to Dual Users were Dual Abstinent at follow-up (adolescents: 37.6% vs. 29.7%, p = 0.019; YAs: 25.8% vs. 8.5%, p < 0.001). CONCLUSION: A text message nicotine vaping cessation intervention promoted dual abstinence from e-cigarettes and cannabis among adolescents and YAs. Dual abstinence rates were higher among exclusive vapers than dual users, signaling the need to optimize cessation programs for dual users. TRIAL REGISTRATION: Studies included were registered on ClinicalTrials.gov (NCT04251273, registered on January 31, 2020; NCT04919590, registered on June 9, 2021).
Environment International · 2025-12-06 · 1 citations
articleOpen accessBACKGROUND: Maternal serum concentrations of per- and polyfluoroalkyl substances (PFAS) during pregnancy have been consistently associated with reduced birthweight. However, these associations may be confounded by the timing of sample collection due to pregnancy-related changes in pharmacokinetics that impact both serum PFAS concentrations and birthweight. METHODS: We measured nine serum PFAS concentrations in each trimester among 728 women in the MABC Study (Ma'anshan, China, enrolled 2013-2014). We estimated covariate-adjusted differences in birthweight for individual PFAS and their mixture, as well as percent change in PFAS by infant birthweight. We repeated our analyses in 70 women-infant dyads from the HOME Study (Cincinnati, Ohio, enrolled 2003-2006) with repeated PFAS measures in 2nd trimester and at delivery. RESULTS: -transformed 1st and 3rd trimester PFOA was associated with a 6-gram (95 % CI:-35, 22) and 26-gram (95 % CI:-54, 3) decrease in birthweight, respectively. Concentrations of six PFAS declined more steeply among women who gave birth to larger vs. smaller infants. PFOA declined by 11.3 % (95 % CI:-12.7, -9.9) vs. 8.9 % (95 % CI:-10.3, -7.5) per 13 weeks among women who gave birth to infants born at the 90th vs. 10th birthweight percentiles, respectively. We observed similar findings in the HOME Study. CONCLUSIONS: These findings suggest that physiological changes in pregnancy may confound associations between serum PFAS and birthweight. Studies with PFAS measures later in pregnancy may overestimate the true effect of PFAS on fetal growth.
Prenatal PFAS exposures and cardiometabolic health in middle childhood in the MIREC cohort
Environmental Research · 2025-03-06 · 1 citations
articleAcademic Pediatrics · 2025-11-09
reviewPediatric Research · 2025-08-16 · 2 citations
articleSocial Science & Medicine · 2025-07-21
article
Frequent coauthors
- 172 shared
Amanda L. Graham
Georgetown University Medical Center
- 171 shared
Joseph M. Braun
Providence College
- 120 shared
Brian R. Ott
Brown University
- 116 shared
Kimberly Yolton
Cincinnati Children's Hospital Medical Center
- 116 shared
Bruce P. Lanphear
Child and Family Research Institute
- 92 shared
Raymond Niaura
New York University
- 73 shared
Laura R. Stroud
Brown University
- 72 shared
Jennifer Davis
Brown University
Education
B.S., Mathematics, Operational Research & Economics
University of Essex, UK
Other, Statistics
University of Kent, UK
M.S., Statistics
University of Minnesota (Twin Cities), USA
Ph.D., Statistics
University of Minnesota (Twin Cities), USA
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