Proceedings of the 6th International Conference of Neuroscience, Neurology and Psychiatry Universitas Sumatera Utara (ICONAP 2023)

Correlative Analysis of Demographic Characteristics and Depressive Syndrome on Quality of Life

Authors
Riska Andriyani1, Mustafa M. Amin1, *, Muhammad Surya Husada1
1Department of Psychiatry, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia
*Corresponding author. Email: mustafa.mahmud@usu.ac.id
Corresponding Author
Mustafa M. Amin
Available Online 18 December 2023.
DOI
10.2991/978-94-6463-310-8_24How to use a DOI?
Abstract

Background: The main factor contributing to coronary heart disease (CHD), the world's biggest killer, is the buildup of plaque in the arteries that provide oxygen to the heart muscle. CHD continues to be a serious health issue with socioeconomic effects because it causes a decline in physical and psychological functioning that lowers quality of life. Depression has been linked to a poorer quality of life, influencing social, psychological, and physical elements as well as morbidity and death rates in the medical field. Depressive symptoms have been linked closely to health status, symptom severity, physical restrictions, and general quality of life in CHD patients. Therefore, the purpose of this study is to examine the relationship between the depressive syndrome, demographic features, and quality of life of CHD patients.

Method: This study used a cross-sectional and correlational analytical technique. Consecutive sampling, a non-probability sampling technique, was used to gather the samples. The Short Form-36 (SF-36) questionnaire, a standardized tool used to assess quality of life in individuals with chronic conditions, was used to measure quality of life. The evaluation tool was split into two categories: general (generic scale) and specific (specific scale), each of which was used to measure certain features of the disease, a specific demographic, or a function like emotions.

Result: The median age of the participants was 49 (30-55), with 79 subjects (65.8%) being male. The median duration of disease was 3 (1-9), 92 subjects (76.7%) were married, and 36 subjects (29.8%) had an educational level of primary school. Furthermore, the median income and quality of life were 3 (1-8) and 70 (40-85), respectively. There was a significant correlation between age and income with SF-36 among CHD patients (p=<0.001, r=0.318 and p=0.021, r=-0.324). The variables of gender, marital status, and educational level also showed significant associations with SF-36, and r values of 0.038, 0.664, and 0.118, respectively.

Conclusion: This study showed a close correlation between quality of life and CHD patients.

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 6th International Conference of Neuroscience, Neurology and Psychiatry Universitas Sumatera Utara (ICONAP 2023)
Series
Advances in Health Sciences Research
Publication Date
18 December 2023
ISBN
10.2991/978-94-6463-310-8_24
ISSN
2468-5739
DOI
10.2991/978-94-6463-310-8_24How 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  - Riska Andriyani
AU  - Mustafa M. Amin
AU  - Muhammad Surya Husada
PY  - 2023
DA  - 2023/12/18
TI  - Correlative Analysis of Demographic Characteristics and Depressive Syndrome on Quality of Life
BT  - Proceedings of the 6th International Conference of Neuroscience, Neurology and Psychiatry Universitas Sumatera Utara (ICONAP 2023)
PB  - Atlantis Press
SP  - 160
EP  - 165
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-310-8_24
DO  - 10.2991/978-94-6463-310-8_24
ID  - Andriyani2023
ER  -