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ORIGINAL RESEARCH article

Front. Public Health

Sec. Aging and Public Health

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1473572

This article is part of the Research Topic Measurement Matters in Epidemiologic Studies of Health in Aging and Across the Life-course View all 3 articles

Multimorbidity characteristics in older adults and their associated factors in complex networks: a cross-sectional study

Provisionally accepted
Dan Wu Dan Wu 1Jiani Xu Jiani Xu 2,3Haibo Zhang Haibo Zhang 4Kai Zhang Kai Zhang 5Yongqian Zhu Yongqian Zhu 6*
  • 1 Department of Endocrinology, First Affiliated Hospital, Nanjing Medical University, Nanjing, Liaoning Province, China
  • 2 Center for Data Management, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
  • 3 Jiangsu Province Engineering Research Center of Chronic Disease Big Data Application and Smart Healthcare Service, Nanjing, China
  • 4 Medical administrative department, The First Affifiliated Hospital with Nanjing Medical University, Nanjing, China
  • 5 Pancreas Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
  • 6 First Affiliated Hospital, Nanjing Medical University, Nanjing, China

The final, formatted version of the article will be published soon.

    Background Multimorbidity of chronic diseases has become an increasingly serious public health problem. However, the research on the current situation of multimorbidity in the older adults in Jiangsu, China is relatively lacking.We surveyed a total of 229,926 inpatients aged above 60 and with two or more chronic diseases in the First Affiliated Hospital with Nanjing Medical University from January 1, 2015 to December 31, 2021. The Apriori algorithm was used to analyze the association rules of the multimorbidity patterns in old adults.The mean age of these patients was 72.0±8.7 years, and the male-to-female ratio was 1:1.53. These patients during the COVID-19 period(from 2020 to 2021) displayed younger, higher male rate, shorter median length of hospital stay, higher ≥6 multimorbidities rate and lower median cost than those not during the COVID-19 period (from 2015 to 2019). In all of these patients, the top 5 chronic diseases were "Hypertensive diseases(I10-I15)", "Other forms of heart disease(I30-I52)", "Diabetes mellitus(E10-E14)", "lschaemic heart diseases(I20-I25)" and "Cerebrovascular diseases(I60-I69)". The complex networks of multimorbidity showed that Hypertensive diseases had a higher probability of co-occurrence with multiple diseases in all these patients, followed by Diabetes mellitus, Other forms of heart disease, and lschaemic heart diseases(I20-I25).In conclusion, the patterns of multimorbidity among the aged varied by COVID-19. Our results highlighted the importance of control of hypertensive diseases, diabetes, and heart disease in most periods. However, during the pandemic period, we should pay more attention to diseases that require urgent treatment, such as malignant tumors. For different periods, 3 the spectrum of diseases we focus on should change accordingly.

    Keywords: Multimorbidity patterns, COVID-19, older adults, Inpatients, China

    Received: 12 Aug 2024; Accepted: 12 Feb 2025.

    Copyright: © 2025 Wu, Xu, Zhang, Zhang and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yongqian Zhu, First Affiliated Hospital, Nanjing Medical University, Nanjing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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