ArticleBMC public health2022
The public health exposome and pregnancy-related mortality in the United States: a high-dimensional computational analysis.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- The socio-environmental exposome and maternal cardiometabolic health in the us: a machine learning approach.American journal of preventive cardiology · 2026Article
- Assessing and adjusting for bias in ecological analysis using multiple sample datasets.BMC medical research methodology · 2025Article
- Scoping review of climate drivers on maternal health: current evidence and clinical implications.AJOG global reports · 2025Review
- Integrating the exposome and one health approach to national health surveillance: an opportunity for Latin American countries in health preventive management.Frontiers in public health · 2024Article
- Seminar: Scalable Preprocessing Tools for Exposomic Data Analysis.Environmental health perspectives · 2023Article
- Community-level exposomics: a population-centered approach to address public health concerns.Exposome · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundRacial inequities in maternal mortality in the U.S. continue to be stark.
methodsThe 2015-2018, 4-year total population, county-level, pregnancy-related mortality ratio (PRM; deaths per 100,000 live births; National Center for Health Statistics (NCHS), restricted use mortality file) was linked with the Public Health Exposome (PHE). Using data reduction techniques, 1591 variables were extracted from over 62,000 variables for use in this analysis, providing information on the relationships between PRM and the social, health and health care, natural, and built environments. Graph theoretical algorithms and Bayesian analysis were applied to PHE/PRM linked data to identify latent networks.
resultsPHE variables most strongly correlated with total population PRM were years of potential life lost and overall life expectancy. Population-level indicators of PRM were overall poverty, smoking, lack of exercise, heat, and lack of adequate access to food.
conclusionsIn this high-dimensional analysis, overall life expectancy, poverty indicators, and health behaviors were found to be the strongest predictors of pregnancy-related mortality. This provides strong evidence that maternal death is part of a broader constellation of both similar and unique health behaviors, social determinants and environmental exposures as other causes of death.
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Registered trials
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