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Identifying multimorbidity risks in older adults

A cross-sectional study using the RGA screening data

Bibliographic Data

ID22077071
AuthorsJinmyoung Cho (0000-0002-5836-2368, Saint Louis University, corresponding author), Allison Gibson (0000-0002-4116-9465, Saint Louis University), Max Zubatsky (0000-0003-1679-643X, Saint Louis University), Wenjin Wang (0000-0002-3204-5006, Saint Louis University), Ebow Nketsiah (Florida Atlantic University), Angela Sanford, Angela M Sanford (Saint Louis University), Marla Berg‐Weger (0000-0002-6270-0921, Saint Louis University)
Year2025
Volume13
Pages1600779-1600779
Publication date2025-07-28
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1600779
PMID40791623
OpenAlexW4412683843
LanguageEN
Citations received1
References cited42

Approximately one in two older adults in the U.S. experiences multimorbidity, defined as the coexistence of two or more chronic diseases. The consequences of multimorbidity are significant, including increased vulnerability to acute illness, exacerbation of existing conditions, frequent hospitalizations, and elevated medical costs. Identifying the risk factors for multimorbidity in advance can guide healthcare service decision-making and help prevent adverse outcomes. This study examines the presence of multimorbidity (i.e., self-reported as having five or more illnesses) and specific geriatric syndromes in older adults with the Rapid Geriatric Assessment (RGA) tool. The RGA, which includes four geriatric syndromes: frailty, sarcopenia, geriatric anorexia, and cognitive decline, was administered to a total of 16,615 individuals aged 65 years and over across Missouri from 2015 to 2024. Nearly 40% of the participants (37.3%) reported having five or more illnesses. After controlling for demographic characteristics, logistic regression analysis showed that individuals with sarcopenia were over three times more likely to have multimorbidity compared to those without sarcopenia (OR = 3.807; CI: 3.488–4.156, p < 0.001). Similarly, the presence of geriatric anorexia and dementia was significantly associated with a 33% (OR = 1.329; CI: 1.224–1.443, p < 0.001) and 27% (OR = 1.273; CI: 1.158–1.401, p < 0.001) higher probability of having multimorbidity, respectively. This cross-sectional study provides evidence that the RGA is a valid screening tool for identifying individuals with multimorbidity across different practice settings. The findings underscore the importance of early detection of geriatric syndromes to prevent further morbidity and disability among older adult populations

Comorbidity · Cross-sectional study · Data science · Environmental health · Multimorbidity · Pathology · Chronic Disease Management Strategies · Computer Science · Frailty in Older Adults · Health Systems, Economic Evaluations, Quality of Life · Medicine

  • Cross-sectional observational study on prevalence and pattern of multimorbidity and its impact on geriatric outpatients in a south Indian tertiary hospital

    Open Access•Shilpa Avarebeel, Michael Vassallo et al.•Frontiers in Public Health•2026

  • Rural–Urban Differences in Cancer Incidence and Trends in the United States

    Whitney E Zahnd, Aimee S James et al.•Cancer Epidemiology, Biomarkers &…•2018

  • A simple frailty questionnaire (FRAIL) predicts outcomes in middle aged African Americans

    Open Access•John E Morley, Theodore K Malmstrom et al.•The Journal of nutrition, health…•2012

  • Global and regional prevalence of multimorbidity in the adult population in community settings

    Open Access•Saifur Rahman Chowdhury, Dipak Chandra Das et al.•EClinicalMedicine•2023

  • A new method of classifying prognostic comorbidity in longitudinal studies

    Open Access•Mary E Charlson, Peter Pompei et al.•Journal of Chronic Diseases•1987

  • Multimorbidity patterns and trajectories in young and middle-aged adults

    Open Access•Ignatios Ioakeim‐Skoufa, Ignatios Ioakeim-Skoufa et al.•Frontiers in Public Health•2024

  • Multimorbidity Patterns, Hospital Uses and Mortality by Race and Ethnicity Among Oldest-Old Patients

    Open Access•Jinmyoung Cho, Heather Allore et al.•Journal of Racial and Ethnic…•2025

  • Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data

    Hude Quan, Vijaya Sundararajan et al.•Medical Care•2005

  • Comorbidity Measures for Use with Administrative Data

    Anne Elixhauser, Claudia Steiner et al.•Medical Care•1998

Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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