About

Eduardo García is a visiting professor with over four decades of experience reporting on Mexico’s political and economic transformations. His work has contributed to the modernization of Mexico’s media landscape. In the 1990s and early 2000s, he launched and led Bloomberg’s Mexico City bureau. He later founded Sentido Común, Mexico’s first digital financial news outlet, which aimed to bring U.S.-style journalistic rigor and data-driven reporting to Spanish-speaking audiences. As editor and publisher of Sentido Común, García oversaw in-depth reporting on economic policy, corporate strategy, and regulation during a period of significant economic liberalization and integration into global markets. His coverage included documenting monopolistic practices of major Mexican corporations, notably telecom magnate Carlos Slim, and highlighting the impact on consumer welfare and living standards. After selling Sentido Común to Infosel in 2018, García served as Infosel’s editorial director until 2023. Currently, he writes Materia Gris, a Substack publication analyzing Mexico’s evolving economic, political, and social landscape, and co-hosts MexMoves, a business-focused podcast. He also collaborates with Puente News Collaborative on reporting related to U.S.–Mexico political and economic relations. García holds a bachelor’s degree in economics from the Instituto Tecnológico Autónomo de México (ITAM) and a master’s degree in journalism from New York University.

Research topics

• Environmental health
• Medicine
• Internal medicine
• Chemistry
• Intensive care medicine
• Biochemistry
• Physiology
• Surgery
• Endocrinology

Selected publications

• Confounding and scale-dependency of interactions: Threats to validity when quantifying the contribution of air conditioning to heat adaptation

  Epidemiology · 2026-04-01

  articleSenior author
  PublisherDOI

• Gene−Air Pollution Interaction and Diversity of Genetic Sampling: The Southern California Children's Health Study

  Genetic Epidemiology · 2025-01-25 · 1 citations

  articleOpen accessSenior authorCorresponding

  ABSTRACT Gene−environment interactions have been observed for childhood asthma, however few have been assessed in ethnically diverse populations. Thus, we examined how polygenic risk score (PRS) modifies the association between ambient air pollution exposure (nitrogen dioxide [NO 2 ], ozone, particulate matter < 2.5 and < 10 μm) and childhood asthma incidence in a diverse cohort. Participants ( n = 1794) were drawn from the Southern California Children's Health Study, a multi‐wave prospective cohort followed from 4th to 12th grade. PRS was developed using single nucleotide polymorphisms previously associated with childhood asthma. PRS−asthma associations and PRS−air pollutant interactions were estimated using Poisson regression. An interquartile range PRS increase was associated with 36% (95% CI: 9%, 70%) higher asthma incidence among non‐Hispanic children, but not associated with asthma among Hispanic children (rate ratio: 0.81 [95% CI: 0.62, 1.04]). NO 2 −PRS interaction was borderline significant in the overall sample (coefficient: 0.23 [95% CI: −0.03, 0.49]). Limited evidence was observed for a positive interaction between PRS and NO 2 exposure associated with asthma incidence; however, the literature‐based PRS was not associated with asthma among Hispanic participants. Equitable, diverse genetic sampling approaches are needed to better identify clinically relevant SNPs in this population.

  PublisherOA PDFDOI

• Plasma Metabolomic and Proteomic Signatures of Blood Pressure Management After Bariatric Surgery Among Adolescents

  Hypertension · 2025-10-20 · 1 citations

  articleOpen access

  BACKGROUND: Emerging omics approaches, including metabolomics and proteomics, can be integrated into obesity treatment for better blood pressure management. We tested whether preoperative metabolomic and proteomic profiles predict long-term elevated blood pressure (EBP) changes better than known risk factors in adolescents undergoing bariatric surgery. METHODS: We included 108 participants from the Teen-LABS (Teen-Longitudinal Assessment of Bariatric Surgery). Plasma untargeted metabolomics (via liquid chromatography with high-resolution mass spectrometry) and Olink proteomics were assessed pre surgery. An elastic net model with stability selection was used to identify features predictive of EBP reductions 5 years post surgery. Models including identified metabolites, proteins, and known risk factors (age, sex, race, clinical sites, parents' education level, body mass index, systolic blood pressure, and diastolic blood pressure at baseline) were compared with known-risk-factors-only models. For biological relevance, the consistency of association directions was examined in a multiethnic non-interventional adolescent cohort (n=79). RESULTS: <0.01). Higher levels of 4 metabolites (uric acid, taurocholic acid, nonadecanoic acid, and cystine) were consistently associated with reduced likelihood of EBP improvement or blood pressure improvement across cohorts. SERPINA11 (serine protease inhibitor, clade A, member 11), ICAM5 (intercellular adhesion molecule 5), and TINAGL1 (tubulointerstitial nephritis antigen-like 1) demonstrated consistent associations in both cohorts. CONCLUSIONS: This is the first study identifying potential preoperative biomarkers for EBP reductions in adolescents following bariatric surgery. Integrating metabolomics and proteomics with known risk factors substantially improved predictive models compared with known-risk-factors-only models. Larger and more diverse cohorts are needed to confirm these findings and whether identified features are associated with other blood pressure treatments.

  PublisherOA PDFDOI

• Wildfire-specific fine particulate matter and preterm birth: a US ECHO Cohort analysis

  The Lancet Planetary Health · 2025-11-05 · 3 citations

  articleOpen access

  BACKGROUND: exposure intensity, duration, and timing. METHODS: exposure with preterm birth (delivery before 37 weeks of gestation) were analysed by adjusted pooled logistic regression in the nationwide ECHO sample and in the US West census region. Associations between smoke days in gestational weeks 0-35 and preterm birth were evaluated by logistic regression in the national sample. FINDINGS: or greater. INTERPRETATION: exposure in the western USA, with findings suggesting an exposure-response relationship for increasing exposure intensity and duration. Preterm birth was also associated with exposure to smoke days in mid-to-late pregnancy at the national level. For practice and policy, these findings support the need for public health interventions aimed at reducing exposure to wildfire smoke during pregnancy. FUNDING: ECHO Program, US National Institutes of Health Office of the Director.

  PublisherDOI

• A co-created, community-informed model for electric vehicle adoption in disadvantaged communities

  Transportation Research Part D Transport and Environment · 2025-06-05 · 3 citations

  articleOpen accessSenior author

  To co-create a community-informed model of EV adoption, we conducted one English-speaking and two Spanish-speaking focus groups with 29 residents from six disadvantaged urban communities in Southeast Los Angeles. Participants were asked whether they owned an EV or hybrid vehicle, benefits and obstacles to EV ownership, and recommendations for making EV adoption feasible and acceptable. A Community Advisory Council participated in preparation of an interview guide and a review of findings. Social, environmental and personal benefits were cited as reasons for EV ownership but were considered secondary to cost, limited infrastructure (e.g., chargers), and lack of information. This information was used to generate a logic model listing adoption determinants, strategies, causal mechanisms and outcomes. A community informed model serves as a potential tool for promoting the adoption of EVs in disadvantaged communities and creating the conditions necessary for such adoption to be perceived by residents as acceptable, feasible, and appropriate.

  PublisherDOI

• Metabolic Signatures in Adipose Tissue Linking Lipophilic Persistent Organic Pollutant Mixtures to Blood Pressure Five Years After Bariatric Surgery Among Adolescents

  Environmental Science & Technology · 2025-02-25 · 3 citations

  articleOpen access

  Persistent organic pollutants (POPs) are lipophilic environmental contaminants accumulated in the adipose tissue. Weight loss interventions, such as bariatric surgery, can mobilize POPs from adipose tissue into the bloodstream. We hypothesized that this mobilization could contribute to increases in blood pressure among 57 adolescents with severe obesity undergoing bariatric surgery. POPs and metabolic features were measured from visceral adipose tissue collected during surgery using gas and liquid chromatography, coupled with high-resolution mass spectrometry. Blood pressure was assessed at baseline, 6 months, and 5 years post-surgery. We used quantile g-computation to estimate associations of POP mixtures with blood pressure changes. With one quartile increase in POP mixtures, systolic blood pressure (SBP) increased by 6.4% five years after bariatric surgery compared to baseline SBP [95% confidence interval (CI): 0.4%, 12.4%]. The meet-in-the-middle approach identified overlapping metabolic features and pathways linking POP mixtures to SBP changes, highlighting the role of prostaglandin formation via arachidonic acid metabolism. POP mixtures were negatively associated with indole-3-acetate (-0.729, 95% CI: -1.234, -0.223), which was negatively associated with SBP changes at five years (-3.49%, 95% CI: -6.51%, -0.48%). Our findings suggested that lipophilic POP mixtures attenuated the beneficial effect of bariatric surgery on improved blood pressure among adolescents via alterations in lipid metabolism.

  PublisherOA PDFDOI

• Efficiency of case-crossover versus time-series study designs for extreme heat exposures

  Environmental Epidemiology · 2025-02-13 · 1 citations

  articleOpen access

  Background: Time-stratified case-crossover (CC) and Poisson time series (TS) are two popular methods for relating acute health outcomes to time-varying ubiquitous environmental exposures. Our aim is to compare the performance of these methods in estimating associations with rare, extreme heat exposures and mortality-an increasingly relevant exposure in our changing climate. Methods: Daily mortality data were simulated in various scenarios similar to observed Los Angeles County data from 2014 to 2019 (N = 367,712 deaths). We treated observed temperature as either a continuous or dichotomized variable and controlled for day of week and a smooth function of time. Five temperature dichotomization cutoffs between the 80th and 99th percentile were chosen to investigate the effects of extreme heat events. In each of 10,000 simulations, the CC and several TS models with varying degrees of freedom for time were fit to the data. We reported bias, variance, and relative efficiency (ratio of variance for a "reference" TS method to variance of another method) of temperature association estimates. Results: CC estimates had larger uncertainty than TS methods, with the relative efficiency of CC ranging from 91% under the 80th percentile cutoff to 80% under the 99th percentile cutoff. As previously reported, methods best capturing data-generating time trends generally had the least bias. Additionally, TS estimates for observed Los Angeles data were larger with less uncertainty. Conclusions: We provided new evidence that, compared with TS, CC has increasingly poor efficiency for rarer exposures in ecological study settings with shared, regional exposures, regardless of underlying time trends. Analysts should consider these results when applying either TS or CC methods.

  PublisherDOI

• Abstract P2108: Longitudinal Changes of Chemical Exposome on Blood Pressure after Bariatric Surgery among Adolescents

  Circulation · 2025-03-11

  article

  Background: The heterogeneous response in cardiometabolic outcomes following obesity treatment, such as bariatric surgery, is well documented, yet the underlying environmental contributors remain unclear. One potential factor is the chemical exposome which can have an obesogenic effect. To date, no prior studies have examined the longitudinal changes in chemical exposures after obesity treatment and their influence on cardiometabolic outcomes. This study aimed to assess the associations between chemical exposome trajectories and blood pressure after bariatric surgery among adolescents. Methods: We quantified the plasma chemical exposome in 5 classes (polycyclic aromatic hydrocarbons (PAHs), per- and polyfluoroalkyl substances (PFAS), phthalates, pyrethroid pesticides and other pesticides) in plasma collected prior to surgery and post-surgery at 6-months, 1 year and 3 years using gas and liquid chromatography with high-resolution mass spectrometry. The cohort included 149 adolescents from the prospective Teen-Longitudinal Assessment of Bariatric Surgery (Teen-LABS) study. Outcomes were systolic and diastolic blood pressure measurements (SBP, DBP), mean arterial pressure (MAP) and pulse pressure at 3 years and 5 years following surgery. We used linear mixed models with random intercepts and slopes to estimate exposure trajectories, and model-based clustering based on each chemical exposure trajectories to generate aggregate exposure trajectory profiles. Linear regression was used to assess the associations of these profiles with blood pressure, adjusting for baseline age, race, sex, parents’ annual income, BMI and blood pressure medications. Results: Two distinct exposure trajectory profiles were generated based on longitudinal changes in individual chemicals. Profile 1 (100 participants) showed a decrease in pesticides and an increase in phthalates. Profile 2 (49 participants) showed the opposite trend. Compared with profile 1, profile 2 was statistically significantly lower for the association in MAP (b = -3.91 mmHg, 95%CI: -7.41, -0.41) and DBP (b = -3.41 mmHg, 95%CI: -6.68, -0.14) three years after bariatric surgery. The associations with blood pressure at five years were weaker. Conclusion: This study identified chemical exposome trajectory profiles after bariatric surgery and highlighted how longitudinal changes in these exposures may play an important role in explaining the heterogeneity in cardiometabolic outcomes after bariatric surgery.

  PublisherDOI

• The potential effects of hypothetical PM2.5 interventions on childhood autism in different neighborhood socioeconomic contexts

  American Journal of Epidemiology · 2025-02-06

  articleOpen accessSenior author

  Particulate air pollution is associated with autism spectrum disorder (ASD), with disadvantaged neighborhoods potentially increasing vulnerability due to stress or other social determinants of health. Understanding the impact of air pollution interventions on ASD incidence across neighborhood disadvantage levels can guide policies to protect vulnerable populations. We examined 2 sets of hypothetical particulate matter (PM)2.5 interventions: percentage reduction and regulatory standards as thresholds, to assess their potential effects on ASD cumulative incidence. Using G-computation under a counterfactual framework, we estimated changes in the cumulative incidence of ASD by age 5 under hypothetical interventions compared to observed exposures. Our study involved a birth cohort of 318 298 children born between 2001-2014 in Southern California, with 4548 diagnosed with ASD by age 5. Pregnancy average PM2.5 and neighborhood disadvantage were assigned to residential addresses. Adjusted Cox regression models were applied to estimate ASD cumulative incidence. Reducing pregnancy average PM2.5 by 30% or below 9 μg/m3 would have prevented 10.6 (95% CI, 3.6-19.2) and 12.5 (2.7-23.6) ASD cases per 10 000 children, respectively. The decreases in ASD cumulative incidence under hypothetical interventions were similar across neighborhood disadvantage levels. These findings suggest that reducing ambient PM2.5 levels to meet or surpass current standards could help prevent ASD.

  PublisherOA PDFDOI

• Wildfire-Specific Fine Particulate Matter and Preterm Birth in the U.S. ECHO-Wide Cohort

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access
  PublisherDOI

Frequent coauthors

• Rob McConnell

  University of Southern California

  31 shared

• Sandrah P. Eckel

  University of Southern California

  29 shared

• Frank D. Gilliland

  University of Southern California

  26 shared

• Kiros Berhane

  Columbia University

  21 shared

• Xavier Basagaña

  Barcelona Institute for Global Health

  21 shared

• Barbara Heude

  Sorbonne Université

  19 shared

• Martine Vrijheid

  Pompeu Fabra University

  18 shared

• Maribel Casas

  Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública

  18 shared