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Network Analysis of Relationships and Change Patterns in Depression and Multiple Chronic Diseases Based on the China Health and Retirement Longitudinal Study

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Health Information Science (HIS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14305))

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Abstract

This study aims to explore the relationships and change patterns between depression and multiple chronic diseases using network analysis techniques applied to the China Health and Retirement Longitudinal Study (CHARLS) data. Depression and chronic diseases often coexist and have a significant impact on individuals’ health and well-being. However, the complex interplay and dynamic nature of these conditions remain poorly understood. By utilizing network analysis on longitudinal data, we aim to uncover the underlying network structure and identify key variables associated with depression and multiple chronic diseases. Specifically, we employed Mixed Graphical Model (MGM) networks to estimate the relationships among selected items and investigated network interconnectedness, stability, temporal differences, community structure, and bridge nodes. Our network analyses were conducted on a large cohort sample of middle-aged participants, revealing central items and strong associations. These findings contribute to a better understanding of the complex relationships between depression and chronic diseases, offering insights for the development of targeted interventions to improve health outcomes.

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Authors and Affiliations

  1. La Trobe University, Melbourne, Australia

    Xia Li

  2. Shandong Experimental High School, Jinan, China

    Shuo Li

  3. China Academy of Chinese Medical Sciences, Beijing, China

    Ying Liu

Authors
  1. Xia Li
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  2. Shuo Li
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  3. Ying Liu
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Corresponding author

Correspondence to Xia Li .

Editor information

Editors and Affiliations

  1. University of Southern Queensland, Darling Heights, Australia

    Yan Li

  2. Vrije University, Amsterdam, The Netherlands

    Zhisheng Huang

  3. DAV University Jalandhar, Jalandhar, Punjab, India

    Manik Sharma

  4. Swinburne University of Technology, Hawthorn, VIC, Australia

    Lu Chen

  5. Swinburne University of Technology, Hawthorn, VIC, Australia

    Rui Zhou

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Li, X., Li, S., Liu, Y. (2023). Network Analysis of Relationships and Change Patterns in Depression and Multiple Chronic Diseases Based on the China Health and Retirement Longitudinal Study. In: Li, Y., Huang, Z., Sharma, M., Chen, L., Zhou, R. (eds) Health Information Science. HIS 2023. Lecture Notes in Computer Science, vol 14305. Springer, Singapore. https://doi.org/10.1007/978-981-99-7108-4_3

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  • DOI: https://doi.org/10.1007/978-981-99-7108-4_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7107-7

  • Online ISBN: 978-981-99-7108-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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