Issue |
BIO Web Conf.
Volume 111, 2024
2024 6th International Conference on Biotechnology and Biomedicine (ICBB 2024)
|
|
---|---|---|
Article Number | 03011 | |
Number of page(s) | 7 | |
Section | Medical Testing and Health Technology Integration | |
DOI | https://doi.org/10.1051/bioconf/202411103011 | |
Published online | 31 May 2024 |
A Study on the Association between Lifestyle, Psychological State, and Diabetes Mellitus among Chinese Elderly
1 Institue of Southeast Asian Studies, School of Foreign Languages at University of Electronic Science and Technology of China, Chengdu, China, 610000
2 School of Marxism, Chengdu University of Traditional Chinese Medicine, Chengdu, China, 610000
* Corresponding author: bobby.qin@qq.com; 1561301013@qq.com
This study is based on the questionnaire data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) to analyze the association between lifestyle, psychological status, and the prevalence of Diabetes Mellitus (DM) among Chinese adults aged 60 and above. A total of 9,695 participants were included in the study. Variance analysis, binary logistic regression, negative binomial regression and random forest were employed to examine the impact of sociodemographic factors (gender, highest level of education, marital status), lifestyle factors (smoking, alcohol consumption, physical activity, sleep), and depression on diabetes, as well as the mediating role of depression. The results indicate that both lifestyle factors and depression have varying degrees of influence on diabetes. Additionally, the highest level of education and marital status are associated with diabetes through their effects on depression.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.