Evidence map›Paper›PMID 40003445›Full record

ArticleInternational journal of environmental research and public health2025

Intersecting Paths to Health: A Factor Analysis Approach to Socioeconomic and Environmental Determinants in Indiana.

Siavash Ghorbany, Ming Hu, Siyuan Yao, Chaoli Wang, Matthew Sisk, Quynh C Nguyen, Kai Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Siavash GhorbanyDepartment of Civil and Environmental Engineering and Earth Sciences, College of Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0000-0002-9588-0527
Ming HuDepartment of Civil and Environmental Engineering and Earth Sciences, College of Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0000-0003-2583-1161
Siyuan YaoDepartment of Computer Science, College of Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0000-0002-4093-193X
Chaoli WangDepartment of Computer Science, College of Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0000-0002-0859-3619
Matthew SiskLucy Family Institute for Data & Society, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0000-0002-4141-9655
Quynh C NguyenNational Institute of Nursing Research, Bethesda, MD 20892, USA.ORCID 0000-0003-4745-6681
Kai ZhangDepartment of Population and Community Health, College of Public Health, The University of Texas Health Science Center at Fort Worth, Fort Worth, TX 76107, USA.

Funding

Rosie the Chatbot: Leveraging Automated and Personalized Health Information Communication to Reduce Disparities in Maternal and Child HealthR01MD016037 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, THU, NORELL, ELIZABETH MARIE · 2021 to 2025
$3.3M
NIMHD NIH HHS R01 MD016037University of Notre Dame NA
6 · The paper itself

Abstract

Public health is the basis of society's well-being and the nation's development. Despite the importance of this factor and huge investments in the health sector in the United States, public health is facing enormous challenges due to the unknown nature of the influential variables in this sector. This research aims to investigate the influential variables on public health from different sources including the demographic features, built environment, socioeconomic variables, and environmental factors impact on 30 major health issues. To achieve this goal, this study utilizes exploratory factor analysis and multiple regression methods on the data obtained from the state of Indiana. The results indicated that health issues and influential factors can be divided into five main factors. This study identifies Health Burdens and Socioeconomic Disparities as a key factor, encompassing a wide range of health issues and socioeconomic variables, highlighting a significant association between socioeconomic disparities, poor health outcomes, and environmental exposures. The analysis underscores the intricate relationship between socioeconomic status, health behaviors, chronic diseases, and environmental factors, suggesting that effective interventions must address healthcare access, quality, and broader determinants of health to improve outcomes in affected communities. The results of this study can be helpful to public health policymakers, urban planners, and future public health researchers.

Indexed as

Environmental ExposureHealth Status DisparitiesPublic HealthAdultFactor Analysis, StatisticalFemaleHumansIndianaMaleSocioeconomic Factorschronic health conditionshealth burdenshealth equitypublic healthsocioeconomic disparities

Identifiers

PMID40003445
PMCPMC11855551

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.