Caregiver burden of family members of cognitively impaired old people: The relationship with elders’ quality of life and time-space behavior

2010 ◽  
Vol 9 (2) ◽  
Author(s):  
G.K. Auslander ◽  
T. Gitlitz ◽  
S. Werner ◽  
R. Landau ◽  
N. Shoval ◽  
...  
Author(s):  
Christina N. Marsack-Topolewski

This study sought to explore the mediating effect of informal social support on the relationship between caregiver burden and quality of life among compound and noncompound caregivers. Parents ( N = 320) completed a web-based survey aimed to examine effects of caring for an adult child with autism spectrum disorder. Results of the mediation analysis suggested that informal social support partially mediated the relationship between caregiver burden and quality of life for both groups. Informal social support appears to be more impactful for noncompound caregivers compared with compound caregivers based on a greater reduction in explained variance. These results highlight the importance of informal social support as caregivers juggle ongoing challenges to provide care to one or more care recipients.


Author(s):  
Touraj Shahvand ◽  
Mehdi Reza Sarafraz

Abstract Objective Patients suffering from cancer need to receive care from their family; however, their family caregivers do this without preparation or training, so their involvement in patients’ care results in a caregiving burden that may affect patient’s hope and quality of life (QOL). Methods This study examines the effect of caregiving burden on the QOL of cancer patients (n = 100) with the mediatory role of hope and shame. To achieve this, Persian versions of Zarit Burden Interview, the World Health Organization QOL, Herth Hope Index, and Guilt and Shame Proneness Scale were used. Meanwhile, path regression analysis was implemented to analyze the relationship between caregiving burden and QOL. Results The results implied a relation among caregiver burden, hope, and QOL of patients diagnosed with cancer. It was found that there is a direct and negative relationship between caregiver burden and hope. In addition, there was an indirect and positive relationship between caregiver burden and QOL. Hope and QOL also had a high correlation. Besides, it was shown that there was a negative relationship between the shame experienced by patients and their hope and QOL. Conclusion caregiver burden was proved to be influential and negatively affected the factor for the QOL. Besides, patients’ hope decreases while caregiving burden increases; this will in turn affect patients’ recovery and their physical, mental, and cognitive functions. This study provides a foundation for future research in this critical area for oncology.


2020 ◽  
Vol 52 ◽  
pp. e108-e113 ◽  
Author(s):  
Özge Keniş-Coşkun ◽  
Cem Etken Atabay ◽  
Aynur Şekeroğlu ◽  
Esranur Akdeniz ◽  
Batuhan Kasil ◽  
...  

2022 ◽  
pp. 138-151
Author(s):  
Laura G. Buckner ◽  
Jillian Yarbrough

With autism there are so many questions. Researchers, educators, family members, and individuals with autism ask questions about the disorder. What causes the disorder? What are the outcomes? What does an autism diagnosis mean in terms of quality of life? Along with these practical questions, most individuals and families will also ask, “Why?” Why does one person have autism and not another? We are fortunate to be living in the 21st century where many elite researchers have developed answers to these questions and even answers, “Why?” In fact, many researchers are beginning to identify that there is a genetic component to autism. The following chapter will discuss a brief overview of critical historical research studies illuminating the relationship between autism and genetics.


2002 ◽  
Author(s):  
R. Arnold ◽  
A. V. Ranchor ◽  
N. H. T. ten Hacken ◽  
G. H. Koeter ◽  
V. Otten ◽  
...  

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.


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