Exploring chronic disease trends among adults in the USA: a statistical analysis with visual insights

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dc.contributor.authorNgo, Vuong M.en
dc.contributor.authorSood, Geetikaen
dc.contributor.authorDonohue, Fionnualaen
dc.contributor.authorKearney, Patriciaen
dc.contributor.authorPalllin, Jenniferen
dc.contributor.authorRoantree, Marken
dc.contributor.funderResearch Irelanden
dc.date.accessioned2025-05-22T11:32:52Z
dc.date.available2025-05-22T11:32:52Z
dc.date.issued2024en
dc.description.abstractChronic diseases are some of the most widespread and expensive health conditions in the United States. This study evaluates the prevalence of chronic diseases in the U.S. from 2011 to 2021, using data from the U.S. CDC, along with visualization and descriptive statistical analysis techniques. Despite increased awareness and advancements in prevention, diagnostics, and treatment, the prevalence of certain chronic diseases, such as obesity, diabetes, and asthma, continues to rise each year. Other conditions, such as kidney disease and heavy alcohol consumption, have shown little to no improvement. Notably, the prevalence of these diseases in each state is not directly correlated with population size but is instead influenced by various factors, including living conditions, unhealthy lifestyle habits, socioeconomic status, and access to healthcare services. For instance, Mississippi has an average obesity rate of 37.6% and an average diabetes rate of 12.8%, both of which are partially influenced by an average tobacco use rate of 23%. In comparison, the U.S. averages for obesity, diabetes, and tobacco use are 30.4%, 9.5%, and 18.3%, respectively.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationNgo, V. M., Sood, G., Donohue, F., Kearney, P., Palllin, J. and Roantree, M. (2024) 'Exploring chronic disease trends among adults in the USA: a statistical analysis with visual insights', 32nd Irish Conference on Artificial Intelligence and Cognitive Science (AICS-2024), Dubin, Ireland, 9-10 December. CEUR Workshop Proceedings, 3910, pp. 114-126. Available at: https://ceur-ws.org/Vol-3910/aics2024_p30.pdf (Accessed: 22 May 2025)en
dc.identifier.endpage126en
dc.identifier.issn1613-0073en
dc.identifier.journaltitleCEUR Workshop Proceedingsen
dc.identifier.startpage114en
dc.identifier.urihttps://hdl.handle.net/10468/17561
dc.identifier.volume3910en
dc.language.isoenen
dc.publisherCEUR-WSen
dc.relation.ispartof32nd Irish Conference on Artificial Intelligence and Cognitive Science (AICS-2024), Dubin, Ireland, 9-10 Decemberen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/National Challenge Fund::Digital for Resilience Challenge/22/NCF/DR/11244/IE/RECONNECT: Chronic disease: discovery, analysis and predictive modelling/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/Research Centres Programme::Phase 2/12/RC/2289_P2/IE/INSIGHT_Phase 2 /en
dc.rights© 2024, the Authors. Published under the Creative Commons License Attribution 4.0 International (CC BY 4.0)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectChronic kidney diseaseen
dc.subjectDiabetesen
dc.subjectObesityen
dc.subjectAsthmaen
dc.subjectAlcohol consumptionen
dc.subjectU.S. statesen
dc.titleExploring chronic disease trends among adults in the USA: a statistical analysis with visual insightsen
dc.typeConference itemen
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