All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Bayesian network model of ethno-racial disparities in cardiometabolic-based chronic disease using NHANES 1999-2018

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F24%3A00081795" target="_blank" >RIV/00159816:_____/24:00081795 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1409731" target="_blank" >https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1409731</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fpubh.2024.1409731" target="_blank" >10.3389/fpubh.2024.1409731</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bayesian network model of ethno-racial disparities in cardiometabolic-based chronic disease using NHANES 1999-2018

  • Original language description

    Background Ethno-racial disparities in cardiometabolic diseases are driven by socioeconomic, behavioral, and environmental factors. Bayesian networks offer an approach to analyze the complex interaction of the multi-tiered modifiable factors and non-modifiable demographics that influence the incidence and progression of cardiometabolic disease.Methods In this study, we learn the structure and parameters of a Bayesian network based on 20 years of data from the US National Health and Nutrition Examination Survey to explore the pathways mediating associations between ethno-racial group and cardiometabolic outcomes. The impact of different factors on cardiometabolic outcomes by ethno-racial group is analyzed using conditional probability queries.Results Multiple pathways mediate the indirect association from ethno-racial group to cardiometabolic outcomes: (1) ethno-racial group to education and to behavioral factors (diet); (2) education to behavioral factors (smoking, physical activity, and-via income-to alcohol); (3) and behavioral factors to adiposity-based chronic disease (ABCD) and then other cardiometabolic drivers. Improved diet and physical activity are associated with a larger decrease in probability of ABCD stage 4 among non-Hispanic White (NHW) individuals compared to non-Hispanic Black (NHB) and Hispanic (HI) individuals.Conclusion Education, income, and behavioral factors mediate ethno-racial disparities in cardiometabolic outcomes, but traditional behavioral factors (diet and physical activity) are less influential among NHB or HI individuals compared to NHW individuals. This suggests the greater contribution of unmeasured individual- and/or neighborhood-level structural determinants of health that impact cardiometabolic drivers among NHB and HI individuals. Further study is needed to discover the nature of these unmeasured determinants to guide cardiometabolic care in diverse populations.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30300 - Health sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Frontiers in Public Health

  • ISSN

    2296-2565

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    OCT 2024

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    11

  • Pages from-to

    1409731

  • UT code for WoS article

    001344230000001

  • EID of the result in the Scopus database