A5079887473- Air Quality and Health Impacts
- Energy and Environment Impacts
- Climate Change and Health Impacts
- Noise Effects and Management
- Urban Transport and Accessibility
- Autism Spectrum Disorder Research
- Family and Disability Support Research
- Smoking Behavior and Cessation
- Air Quality Monitoring and Forecasting
- Breastfeeding Practices and Influences
- Atmospheric chemistry and aerosols
- Child Nutrition and Feeding Issues
- Child Development and Digital Technology
University of Southern California
2021-2024
University of California, Los Angeles
2023-2024
Southern California University for Professional Studies
2023
Personal exposure to fine particulate matter (PM
Air pollution is a global health concern, with fine particulate matter (PM2.5) constituents posing potential risks to human health, including children's neurodevelopment. Here we investigated associations between exposure during pregnancy and infancy specific traffic-related PM2.5 components Autism Spectrum Disorder (ASD) diagnosis. For assessment, estimated related traffic (Barium [Ba] as marker of brake dust Zinc [Zn] tire wear marker, Black Carbon [BC]) oxidative stress (OSP) markers...
Abstract Autism Spectrum Disorders (ASD) prevalence has risen globally, with regional variation and sociodemographic disparities affecting diagnosis intervention. This study examines ASD trends from 1990 to 2018 in California (CA), focusing on factors that may inform policy/interventions. Using CA Department of Public Health birth records (1990–2018) Developmental Services cases (1994–2022), we analyzed incidence by age 4 or 8, stratified factors. From 2018, for each year the cumulative 8...
In-utero exposure to outdoor particulate matter with aerodynamic diameter less than 2.5 μm (PM2.5) is linked low birthweight. However, previous results are mixed, likely due measurement error introduced by estimating personal from ambient data. This study investigated the effect of total PM2.5 on birthweight and whether it differed when was more heavily impacted sources indoor vs origin in MADRES cohort study.Personal measured 205 pregnant women 3rd trimester using 48 h integrated,...
BACKGROUND AND AIM: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with social, behavioral, and learning challenges, likely caused by mix of genetic environmental factors. Its prevalence has surged in the US, causing significant health economic burdens. This study examines link between ASD exposure to toxins like PM25, NO2, O3, considering sociodemographic regional METHOD: employed population-based cohort design (N = 2,376,489), utilizing 2013-2018 birth records...
Background In-utero exposure to outdoor particulate matter with aerodynamic diameter less than 2.5µm (PM2.5) is linked low birthweight. However, previous results are mixed, likely due measurement error introduced by estimating personal from ambient data. We investigated the effect of total PM2.5 on birthweight and whether it differed when was more heavily impacted sources indoor vs origin in MADRES cohort. Methods Personal measured 205 pregnant women 3rd trimester using 48-hour integrated,...
In-utero exposure to fine particulate matter (PM
Secondhand smoke (SHS) exposure during pregnancy is linked to adverse birth outcomes, such as low weight and preterm birth. While questionnaires are commonly used assess SHS exposure, their ability capture true can vary, making it difficult for researchers harmonize measures. This study aimed compare self-reported with measurements of airborne in personal samples pregnant women.
Abstract In-utero exposure to fine particulate matter (PM 2.5 ) and specific sources components of PM have been linked with lower birthweight. However, previous results mixed, likely due heterogeneity in impacting measurement error from using ambient data. Therefore, we investigated the effect their high-loading on birthweight data 198 women 3rd trimester MADRES cohort 48-h personal monitoring sub-study. The mass contributions six major were estimated for pregnant EPA Positive Matrix...
Atmospheric nitrogen oxides (NOx) primarily from fuel combustion have recognized acute and chronic health environmental effects. Machine learning (ML) methods significantly enhanced our capacity to predict NOx concentrations at ground-level with high spatiotemporal resolution but may suffer estimation bias since they lack physical chemical knowledge about air pollution dynamics. Chemical transport models (CTMs) leverage this knowledge; however, accurate predictions of typically necessitate...
Background: Secondhand smoke (SHS) exposure during pregnancy is associated with adverse birth outcomes, including reduced birthweight and preterm birth. Questionnaires are commonly used to assess SHS exposure; however, the wording of questions their ability capture true can vary, limiting researchers’ harmonize measures. Therefore, we compared association self-reported in a cohort measurements environmental tobacco (ETS) particulate matter (PM2.5) personal samples 3rd trimester.Methods: We...
BACKGROUND AND AIM: In-utero exposure to particulate matter with aerodynamic diameter less than 2.5µm (PM2.5) in the 3rd trimester has been linked low birth weight and childhood obesity risk, especially Hispanic populations. However, previous results have mixed, likely due measurement error introduced by estimating personal from ambient data. We investigated effect of total PM2.5 on birthweight whether it differed indoor vs outdoor origin MADRES cohort study. METHODS: Personal was measured...