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ORIGINAL RESEARCH article
Front. Psychiatry
Sec. Psychological Therapy and Psychosomatics
Volume 15 - 2024 |
doi: 10.3389/fpsyt.2024.1431772
Exploring Factors Influencing the Quality of Life in Diabetes: A Network Analysis-based Study
Provisionally accepted- 1 Beijing Hospital, Peking University, Beijing, Beijing Municipality, China
- 2 Harbin Medical University, Harbin, China
- 3 The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
- 4 The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
Objective: The purpose of this study was to explore the key pathways leading to low quality of life in type 2 diabetes patients by means of network analysis, so as to provide the possibility of effective interventions.Methods: The study involved 1,011 adult type 2 diabetes patients from a tertiary hospital in Harbin. Data was collected through questionnaires, and network analysis was performed using R software to assess the centrality and predictability of each node.Results: "Depression" and "Submission" (weight = 0.26), "Depression" and "Physiological field" (weight = -0.16), exhibit the strongest associations. Overall, "Depression" has the highest weight in the association with diabetes symptom, regarding betweenness, "Depression" and "Submission" exhibit the highest scores, Furthermore, the analysis of closeness centrality reveals that "Depression" and "Submission" share the highest level of proximity, it suggests that they have the shortest distances to other network factors in our research network.Conclusion: Depression and Submission are likely to be key factors affecting the quality of life of people with diabetes. Providing psychological support and scientific coping strategies for diabetes patients may be an effective way to help them live a better life.
Keywords: Network analysis, diabetes, Quality of Life, Depression, Mental Health, medical coping
Received: 12 May 2024; Accepted: 30 Oct 2024.
Copyright: © 2024 Chen, Li, Qiao, Qiao, Xiang, Zhou, Bu, Hu, Ke, Kan, Xuan, Yanping, Qiu and Yang. 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:
Lu Chen, Beijing Hospital, Peking University, Beijing, 100730, Beijing Municipality, China
Ling Li, Harbin Medical University, Harbin, China
Kexin Qiao, Harbin Medical University, Harbin, China
Ying Xiang, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
Jiawei Zhou, Harbin Medical University, Harbin, China
Xiaomeng Hu, Harbin Medical University, Harbin, China
Siyuan Ke, Harbin Medical University, Harbin, China
Yuecui Kan, Harbin Medical University, Harbin, China
Ji Yanping, The Fourth Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
Xiaohui Qiu, Harbin Medical University, Harbin, China
Yanjie Yang, Harbin Medical University, Harbin, China
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