Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

Variety of Chronic Diseases of the Elderly in a Pension Institution in Guilin

Authors
Meiting Wu1, Shangyuhui Huang2, Jingwen Liang3, Tao Jiang2, *
1School of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China
2School of Humanities and Management, Guilin Medical University, Guilin, China
3Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
*Corresponding author. Email: tj290uow@163.com
Corresponding Author
Tao Jiang
Available Online 27 October 2023.
DOI
10.2991/978-94-6463-276-7_22How to use a DOI?
Keywords
Multiple chronic diseases; health management; Basic physiological indicators
Abstract
Objective

According to the clinical characteristics and types of chronic diseases of an elder care institution in Guilin, the number of multiple chronic disease types, basic physiological indicators, and influencing factors were counted. This paper aims to explore the establishment of an efficient risk management system for elderly care institutions in Guilin, Guangxi Province, based on the clinical characteristics and types of chronic, existing literature and the experience of Aged care institutions. Methods: SPSS22.0 was applied for statistical data analysis. Descriptive analysis was used to analyze the characteristics of the general situation, and the Chi-square test was used to compare the prevalence of multiple chronic diseases in the elderly with sex, age, and other data. The laboratory indicators are measurement data, which determine whether it meets the normal distribution, and the mean ± standard deviation is expressed in line with the normal distribution, and independent samples t-tests are used between different groups. The difference of p<0.05 was used to determine whether it was statistically significant. Result: The number of chronic diseases and age, gender, marital status, and BMI were not statistically significant, hypertension, cerebrovascular disease and diabetes had a higher incidence in the elder care institution, and the most common two chronic diseases were combined with hypertension + cerebrovascular disease, followed by hypertension + diabetes, and the most common three chronic diseases were combined with hypertension + diabetes + cerebrovascular disease. LDL-C data were significantly different in the control group of older adults with more than 4 chronic diseases. Conclusion: Among the elderly with multiple chronic diseases hospitalized in this elder care institution, the proportion of elderly people suffering from 2 and 3 chronic diseases was the highest. Among the elderly with multiple chronic diseases hospitalized in this elder care institution, the mean value of LDL-C in the elderly control group with more than 4 chronic diseases was relatively low.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 October 2023
ISBN
10.2991/978-94-6463-276-7_22
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_22How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Meiting Wu
AU  - Shangyuhui Huang
AU  - Jingwen Liang
AU  - Tao Jiang
PY  - 2023
DA  - 2023/10/27
TI  - Variety of Chronic Diseases of the Elderly in a Pension Institution in Guilin
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 214
EP  - 222
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_22
DO  - 10.2991/978-94-6463-276-7_22
ID  - Wu2023
ER  -