| Issue |
BIO Web Conf.
Volume 8, 2017
2016 International Conference on Medicine Sciences and Bioengineering (ICMSB2016)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 7 | |
| Section | Session II: Bioinformatics | |
| DOI | https://doi.org/10.1051/bioconf/20170802004 | |
| Published online | 11 January 2017 | |
Research on community elderly quality of life and its influencing factors in Changchun City of Jilin Province
College of Humanities & Sciences of Northeast Normal University, Changchun City 130117 Jilin Province, China
a Corresponding author: 543055940@qq.com
Objective: To understand the status and influencing factors of the quality of life of the elderly patients in the community of Changchun City, and provide the basis for drawing up the interventions about improving the quality of life of the elderly patients in the community. Methods: 498 elderly patients were investigated by using random sampling method and QOL - BREF and self-designed questionnaire. Results: The scores of the quality of life were: PSYCH (13.00±1.91), ENVIR (13.39±2.23), PHYS (13.47±1.71) and SOCIL (14.21±2.56). The scores of quality of life self-evaluation and health condition self-evaluation were respectively (72.01±17.14) and (66.30±14.23). The results showed that gender, age, degree of education, marriage situation, vocation, income level can affect four aspects of the quality of life. The main factors influenced the scores of QOL were: leisure opportunities, satisfaction with health care services, satisfaction with sleep, interpersonal relationship, self-appreciation in appearance and satisfaction with the degree of the ability of daily life. Conclusion: The effective measures should be taken to improve the quality of the elderly patients, such as improving the healthy care function, establishing great supporting system in community.
© The Authors, published by EDP Sciences, 2017
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.