ArticleEnvironmetrics2024
Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability.
Article in Environmetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Multi-Tree Model for Precision Environmental Health with Longitudinally Assessed Mixture Exposure.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026Article
- Timing of Exposure to Parental Depression From Pregnancy to Young Adulthood and Mental Health in Adult Offspring.JAMA network open · 2026Article
- Prenatal greenness, air pollution, and birthweight: Assessing sensitive windows of exposure and sub-populations in a multi-exposure setting.Environment international · 2026Article
- Susceptible windows of long-term childhood exposure to air pollution on adult self-reported bronchitic symptoms.International journal of epidemiology · 2026Article
- DeepDiff-SHAP: Interpretable deep learning for subgroup-specific causal hypothesis generation using conditional SHAP.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2026Article
- Distributed lag interaction model with index modification.Biostatistics (Oxford, England) · 2025Article
- Semiparametric approaches for mitigating spatial confounding in large environmental epidemiology cohort studies.Environmetrics · 2025Article
- Particulate matter exposure during pregnancy and birth outcomes: exposure windows of susceptibility and socioeconomic inequalities.European journal of epidemiology · 2025Article
- Windows of susceptibility to air pollution during and surrounding pregnancy in relation to longitudinal maternal measures of adiposity and lipid profiles.Environmental research · 2025Article
- Structured Bayesian Regression Tree Models for Estimating Distributed Lag Effects: The R Package dlmtree.The R journal · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Maternal exposure to air pollution during pregnancy has a substantial public health impact. Epidemiological evidence supports an association between maternal exposure to air pollution and low birth weight. A popular method to estimate this association while identifying windows of susceptibility is a distributed lag model (DLM), which regresses an outcome onto exposure history observed at multiple time points. However, the standard DLM framework does not allow for modification of the association between repeated measures of exposure and the outcome. We propose a distributed lag interaction model that allows modification of the exposure-time-response associations across individuals by including an interaction between a continuous modifying variable and the exposure history. Our model framework is an extension of a standard DLM that uses a cross-basis, or bi-dimensional function space, to simultaneously describe both the modification of the exposure-response relationship and the temporal structure of the exposure data. Through simulations, we showed that our model with penalization out-performs a standard DLM when the true exposure-time-response associations vary by a continuous variable. Using a Colorado, USA birth cohort, we estimated the association between birth weight and ambient fine particulate matter air pollution modified by an area-level metric of health and social adversities from Colorado EnviroScreen.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.