Relationship of Serious Psychological Distress to Quality of Life in Adults with Diabetes

2014 ◽  
Vol 48 (2) ◽  
pp. 135-146 ◽  
Author(s):  
Clara E. Dismuke ◽  
Melba A. Hernandez-Tejada ◽  
Leonard E. Egede
2021 ◽  
Vol 71 (1) ◽  
pp. 18-23
Author(s):  
Neelam Ehsan ◽  
Nayab . ◽  
Adam Khan ◽  
Amna Khan Shahid

Objective: To study the relationship and impact of post traumatic growth and psychological distress on qualityof life among renal failure patients seeking dialysis, and to see differences in these variables among different age group patients. Study Design: Cross sectional study. Place and Duration of Study: Lady Reading Hospital, Peshawar, Government Hospital Mardan Pakistan, fromJan to Jun 2019. Methodology: A sample of 300 renal failure Patients 18 years or older who had a diagnosis of end-stage renal disease receiving treatment within different dialysis units were approached through purposive sampling technique. Post traumatic growth inventory Quality of life scale and the Psychological distress scale were used to measure the study variables. Results: Results reveal that psychological distress has a negative correlation with post traumatic growth (r=-0.77**, p<0.01) and Quality of Life (r= -0.73**, p<.01). Whereas, Post Traumatic Growth has a strong positive correlation with Quality of Life (r=0.68*, p<0.01). Similarly, Psychological distress (β= -0.89, p<.000) and post traumatic growth (β=0.25, p<.000) significantly predict quality of life and explained 57% variance (F (2,297) = 198.4, p<0.000, R2=0.57) among the sample. Moreover, the results also show significant differences in the study variables between the two age groups (i.e., 16 to 32 years and 33 to 48 years) and it further suggest that middle age patients had higher levels of PTG as compared to younger and older patients. Conclusion: This study reveals a significant negative relationship of post traumatic growth with psychologicaldistress and a significant effect of post traumatic growth and psychological distress on the quality of life in thesample. This study also concludes that middle-age group patients had higher levels of post traumatic growth ascompared to young and old patients.


2010 ◽  
Vol 19 (1) ◽  
pp. 102-109 ◽  
Author(s):  
Leigh Anne Faul ◽  
Heather S. Jim ◽  
Charles Williams ◽  
Loretta Loftus ◽  
Paul B. Jacobsen

2020 ◽  
Vol 29 (4) ◽  
pp. 2097-2108
Author(s):  
Robyn L. Croft ◽  
Courtney T. Byrd

Purpose The purpose of this study was to identify levels of self-compassion in adults who do and do not stutter and to determine whether self-compassion predicts the impact of stuttering on quality of life in adults who stutter. Method Participants included 140 adults who do and do not stutter matched for age and gender. All participants completed the Self-Compassion Scale. Adults who stutter also completed the Overall Assessment of the Speaker's Experience of Stuttering. Data were analyzed for self-compassion differences between and within adults who do and do not stutter and to predict self-compassion on quality of life in adults who stutter. Results Adults who do and do not stutter exhibited no significant differences in total self-compassion, regardless of participant gender. A simple linear regression of the total self-compassion score and total Overall Assessment of the Speaker's Experience of Stuttering score showed a significant, negative linear relationship of self-compassion predicting the impact of stuttering on quality of life. Conclusions Data suggest that higher levels of self-kindness, mindfulness, and social connectedness (i.e., self-compassion) are related to reduced negative reactions to stuttering, an increased participation in daily communication situations, and an improved overall quality of life. Future research should replicate current findings and identify moderators of the self-compassion–quality of life relationship.


2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.


Sign in / Sign up

Export Citation Format

Share Document