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Objective To investigate the status of fatigue in maintenance hemodialysis (MHD) patients, analyze the correlation between fatigue and uncertainty and hope, and establish a multiple regression model to discuss the dependence between fatigue and uncertainty and hope situation in MHD Patients. Methods A convenient sampling method was used to select 150 patients with renal failure who were treated with MHD in the hemodialysis center of a third-class general hospital in Tianjin from June to September, 2018. The demographic data and disease data of the patients were collected with self-designed general data questionnaire. The patients were assessed with Piper Fatigue Revision Scale, Disease Uncertainty Scale and Herth Hope Scale. Results The results showed that the total fatigue score of MHD patients was 4.37 ± 1.17, belonging to the moderate level, with the highest score (4.95 ± 1.35) in behavioral dimension, and the lowest score (3.48 ± 1.37) in cognitive dimension. The results showed that the score of fatigue were different in MHD patients of different ages, marital status, educational level, work status, primary disease, and the number of complications (P＜0.05). The results of correlation analysis showed that the score of fatigue in MHD patients was positively correlated with the total score of uncertainty and its dimensions (r = 0.231-0.634, P＜0.05). The fatigue level of MHD patients was negatively correlated with the total score of hope and its dimensions (r =- 0.608- - 0.323, P＜0.05).Multiple linear regression showed that the independent variables entering the regression equation included marital status, number of complications, disease uncertainty and hope level score. And the determination coefficient R2 was 0.530,the adjusted determination coefficient was 0.501, F=18.454, P=0.000, which had statistical significance. Conclusions The fatigue level of MHD patients is moderate, and the score of fatigue in behavioral dimension is the highest, which is influenced by age, marital status, education, work condition, primary disease and the number of complications. The level of fatigue in MHD patients was positively correlated with disease uncertainty and its dimensions, and negatively correlated with the level of hope and its dimensions.
ABSTRACT
Objective@#To investigate the status of fatigue in maintenance hemodialysis (MHD) patients, analyze the correlation between fatigue and uncertainty and hope, and establish a multiple regression model to discuss the dependence between fatigue and uncertainty and hope situation in MHD Patients.@*Methods@#A convenient sampling method was used to select 150 patients with renal failure who were treated with MHD in the hemodialysis center of a third-class general hospital in Tianjin from June to September, 2018. The demographic data and disease data of the patients were collected with self-designed general data questionnaire. The patients were assessed with Piper Fatigue Revision Scale, Disease Uncertainty Scale and Herth Hope Scale.@*Results@#The results showed that the total fatigue score of MHD patients was 4.37 ± 1.17, belonging to the moderate level, with the highest score (4.95±1.35) in behavioral dimension, and the lowest score (3.48 ± 1.37) in cognitive dimension. The results showed that the score of fatigue were different in MHD patients of different ages, marital status, educational level, work status, primary disease, and the number of complications (P<0.05). The results of correlation analysis showed that the score of fatigue in MHD patients was positively correlated with the total score of uncertainty and its dimensions (r = 0.231-0.634, P<0.05). The fatigue level of MHD patients was negatively correlated with the total score of hope and its dimensions (r=-0.608- -0.323, P<0.05). Multiple linear regression showed that the independent variables entering the regression equation included marital status, number of complications, disease uncertainty and hope level score. And the determination coefficient R2 was 0.530,the adjusted determination coefficient was 0.501, F=18.454, P=0.000, which had statistical significance.@*Conclusions@#The fatigue level of MHD patients is moderate, and the score of fatigue in behavioral dimension is the highest, which is influenced by age, marital status, education, work condition, primary disease and the number of complications. The level of fatigue in MHD patients was positively correlated with disease uncertainty and its dimensions, and negatively correlated with the level of hope and its dimensions.
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Objective To investigate the status of undergraduates′ sub-health and explore the relationship between personality traits and sub-health and the mediating role of self-harmony. Methods A total of 196 undergraduate nursing students in Tianjin University of Traditional Chinese Medicine were investigated by Sub-health Self-rating Scale (SSS), Self Consistency and Congruence Scale (SCCS) and Eysenck Personality Questionnaire Short Scale. Results The the total scores of the undergraduate nursing students′personality traits, self-harmony and sub-health were 22.71±4.90, 102.74±14.41, 182.54± 31.76. The neuroticism and extroversion of personality traits were significantly correlated with self-harmony and sub-health (P<0.01). Neuroticism had a significant prediction on self-harmony (β=0.37, P<0.01) and sub-health (β=-0.64, P<0.01), after controlling self-harmony, the prediction on sub-health was reduced, but still significant (β=-0.56, P<0.01);extroversion had a significant prediction on self-harmony (β=-0.27, P<0.01) and sub-health (β=0.54, P<0.01), after controlling self-harmony, the prediction on sub-health was reduced, but still significant (β=0.46, P < 0.01). Conclusions The sub-health status of undergraduate nursing students was not optimistic. Nursing students′ personality traits of psychoticism, extroversion, which directly impact on the health status, and through self-harmony indirectly affect their health level, self-harmony played a intermediary role between personality traits and sub-health.