ArticleInternational journal of environmental research and public health2014
Exploration of preterm birth rates using the public health exposome database and computational analysis methods.
Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
17 citing papers in PubMed.
- Antenatal N-acetylcysteine to improve outcomes of premature infants with intra-amniotic infection and inflammation (Triple I): randomized clinical trial.Pediatric research · 2021Trial
- 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
- Addressing Exposome: An Innovative Approach to Environmental Determinants in Pediatric Respiratory Health.Frontiers in public health · 2022Review
- County-level Variation in Low Birthweight and Preterm Birth: An Evaluation of State Medicaid Expansion Under the Affordable Care Act.Medical care · 2020Article
- Accidental Infant Suffocation and Strangulation in Bed: Disparities and Opportunities.Maternal and child health journal · 2019Article
- Patterns and Variability of Endocrine-disrupting Chemicals During Pregnancy: Implications for Understanding the Exposome of Normal Pregnancy.Epidemiology (Cambridge, Mass.) · 2019Article
- Article
- Applying an Exposome-Wide (ExWAS) Approach to Cancer Research.Frontiers in oncology · 2018Article
- The Exposome Research Paradigm: an Opportunity to Understand the Environmental Basis for Human Health and Disease.Current environmental health reports · 2017Review
- Using an External Exposome Framework to Examine Pregnancy-Related Morbidities and Mortalities: Implications for Health Disparities Research.International journal of environmental research and public health · 2015Article
- Using exposomics to assess cumulative risks and promote health.Environmental and molecular mutagenesis · 2015Article
- The public health exposome: a population-based, exposure science approach to health disparities research.International journal of environmental research and public health · 2014Article
- Scalable combinatorial tools for health disparities research.International journal of environmental research and public health · 2014Article
- A novel approach to analyzing lung cancer mortality disparities: Using the exposome and a graph-theoretical toolchain.Environmental diseaseArticle
- Geographic Hotspots for Low Birthweight: An Analysis of Counties With Persistently High Rates.Inquiry : a journal of medical care organization, provision and financingArticle
- A multifactorial obesity model developed from nationwide public health exposome data and modern computational analyses.Obesity research & clinical practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Recent advances in informatics technology has made it possible to integrate, manipulate, and analyze variables from a wide range of scientific disciplines allowing for the examination of complex social problems such as health disparities. This study used 589 county-level variables to identify and compare geographical variation of high and low preterm birth rates. Data were collected from a number of publically available sources, bringing together natality outcomes with attributes of the natural, built, social, and policy environments. Singleton early premature county birth rate, in counties with population size over 100,000 persons provided the dependent variable. Graph theoretical techniques were used to identify a wide range of predictor variables from various domains, including black proportion, obesity and diabetes, sexually transmitted infection rates, mother's age, income, marriage rates, pollution and temperature among others. Dense subgraphs (paracliques) representing groups of highly correlated variables were resolved into latent factors, which were then used to build a regression model explaining prematurity (R-squared = 76.7%). Two lists of counties with large positive and large negative residuals, indicating unusual prematurity rates given their circumstances, may serve as a starting point for ways to intervene and reduce health disparities for preterm births.
Indexed as
Identifiers
What OpenQuestion holds
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.