Influence of Education Level on Mental Health and Medical Coping Modes: A Correlation Analysis in the Elderlies
American Journal of Nursing Science
Volume 8, Issue 6, December 2019, Pages: 324-328
Received: Sep. 27, 2019; Accepted: Oct. 26, 2019; Published: Nov. 8, 2019
Views 112      Downloads 56
Saisai Cui, Health Management Center of the General Hospital of Northern Theater Command, Shenyang, China
Rui Wang, Vcanbio Cell & Gene Engineering CORP., LTD, Tianjin, China
Leping Lu, Health Management Center of the General Hospital of Northern Theater Command, Shenyang, China
He Wang, Health Management Center of the General Hospital of Northern Theater Command, Shenyang, China
Yan Zhang, Health Management Center of the General Hospital of Northern Theater Command, Shenyang, China
Article Tools
Follow on us
Objective: To investigate the influence of education level on mental condition and medical coping modes in the elderlies, which may provide some evidence for mental care in health management. Methods: Clinical Symptom Checklist 90 (SCL-90) and Medical Coping Modes Questionnaire (MCMQ) were applied to evaluate mental condition of 160 elderlies who were randomly chosen from the outpatients of a hospital in Shenyang. The patients were divided into 2 groups by education levels, highly educated group (n=71) and non-highly educated group (n=89). Scores of the two questionnaires were compared between the 2 groups, and correlation analysis was conducted between symptoms and medical coping modes within either group. Results: Compared with the non-highly educated group, the highly educated group has lower scores on all factors of SCL-90 and higher scores on all factors of MCMQ (P < 0.05). It was showed by the correlation analysis that “confrontation” was positively related to “psychoticism” in non-highly educated group (P < 0.05) but negatively related to “phobic anxiety” in highly educated group (P < 0.05), and “avoidance” was related to no factors of SCL-90 (P > 0.05), and “acceptance/resignation” was positively related to all the 9 factors of SCL-90 (P < 0.05) in non-highly educated group while positively related to 6 factors of SCL-90 (P < 0.05) except for “hostility”, “phobic anxiety” and “psychoticism” (P > 0.05) in highly educated group. Conclusion: Highly education provides elderly people with more positive medical coping modes as well as better mental conditions.
Education, Mental Health, Medical Coping Modes, Correlation Analysis, Health Management
To cite this article
Saisai Cui, Rui Wang, Leping Lu, He Wang, Yan Zhang, Influence of Education Level on Mental Health and Medical Coping Modes: A Correlation Analysis in the Elderlies, American Journal of Nursing Science. Vol. 8, No. 6, 2019, pp. 324-328. doi: 10.11648/j.ajns.20190806.16
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Huang Ping, Li Taiping. The definition of educational process and the interpretation of its generative characteristics [J]. Education research, 2013, 7, 18-27.
KLOOS N, DROSSAERT C H C, BOHLMEIJER E T, et al. Online positive psychology intervention for nursing home staff: A cluster-randomized controlled feasibility trial of effectiveness and acceptability [J]. International Journal of Nursing Studies, 2019, 98, 48-56.
RAYMOND I J, RAYMOND C M. Positive psychology perspectives on social values and their application to intentionally delivered sustainability interventions [J]. Sustainability Science, 2019, 14 (5), 1381-1393.
SUN J, TANG X L. Research on Statistics and Analysis of Mental Health Status of Chinese College Students Based on Positive Psychology and T-test [J]. Basic Clin Pharmacol Toxicol, 2019, 124, 86-87.
Zhang Hao. On the characteristics of positive psychology and its application in teaching [J]. Intelligence journal, 2014, 1 (30), 142.
TAO K, LIU W X, XIONG S Y, et al. Associations between Self-Determined Motivation, Accelerometer-Determined Physical Activity, and Quality of Life in Chinese College Students [J]. Int J Environ Res Public Health, 2019, 16 (16), 1-15.
BOICHE J, SARRAZIN P, CHANAL J. A Longitudinal Study of Perceived Conflict and Instrumental Relationships Between Life Contexts Among Adolescents: The Role of Self-Determined Motivation [J]. J Appl Sport Psychol, 2015, 27 (4), 430-448.
Zhang Rong, Cui Jiucai, Zhu Waner. Research progress in theory and application of positive psychology [J]. International journal of psychiatry, 2009, 3, 168-170.
SMITH B A, GEORGIOPOULOS A M, QUITTNER A L. Maintaining mental health and function for the long run in cystic fibrosis [J]. Pediatr Pulmonol, 2016, 51, 71-78.
ASHBY S, GRAY M, RYAN S, et al. Maintaining occupation-based practice in Australian mental health practice: A critical stance [J]. Br J Occup Ther, 2015, 78 (7), 431-439.
WEI Y D, LI H Y, WANG H L, et al. Psychological Status of Volunteers in a Phase I Clinical Trial Assessed by Symptom Checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) [J]. Med Sci Monitor, 2018, 24, 4968-7493.
BECH P, BILLE J, MOLLER S B, et al. Psychometric validation of the Hopkins Symptom Checklist (SCL-90) subscales for depression, anxiety, and interpersonal sensitivity [J]. J Affect Disord, 2014, 160, 98-103.
CHEN F X, CHEN X S, GUO J C, et al. Serotonin transporter-linked polymorphic region genotypes in relation to stress conditions among patients with papillary thyroid carcinoma [J]. Int J Clin Exp Pathol, 2019, 12 (3), 968-977.
MA F Q, CAO H Y, SONG L J, et al. Effects of comprehensive care on mood and quality of life in infertile patients [J]. Int J Clin Exp Med, 2018, 11 (4), 4072-4079.
SHEN X Y, ZHU X M, WU Y N, et al. Effects of a psychological intervention programme on mental stress, coping style and immune function in percutaneous coronary intervention patients [J]. PLoS One, 2018, 13 (1), 1-13.
Wang Xiangdong, Wang Xilin, Ma Hong. Mental health rating scale manual [M]. Chinese Mental Health Journal, 1999.
Zhang Hangkong. The present situation and changes of the education level of the elderly population in China [J]. Chinese journal of gerontology, 2016, 36 (5), 1215-1216.
SWINDELL R, VASSELLA K, MORGAN L, et al. University of the Third Age in Australia and New Zealand: Capitalising on the cognitive resources of older volunteers [J]. Australas Ageing, 2011, 30 (4), 196-201.
ZIELINSKA-WIECZKOWSKA H. Correlations between satisfaction with life and selected personal resources among students of Universities of the Third Age [J]. Clin Interv Aging, 2017, 12, 1391-1399.
ANDREWS J A, BROWN L J E, HAWLEY M S, et al. Older Adults' Perspectives on Using Digital Technology to Maintain Good Mental Health: Interactive Group Study [J]. J Med Internet Res, 2019, 21 (2), 1-11.
Brennan J., Shah T. Managing quality in higher education: an international perspective on institutional assessment and change [J]. Quality Assurance in Education, 2000, 7 (2), 209-241.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186