Perceptions of Health Intervene in the Relationship Between Psychiatric Symptoms and Quality of Life for Individuals in Supportive Housing

2013 ◽  
Vol 40 (4) ◽  
pp. 469-475 ◽  
Author(s):  
Jason Matejkowski ◽  
Sungkyu Lee ◽  
Benjamin Henwood ◽  
Jonathon Lukens ◽  
Lara Carson Weinstein
1995 ◽  
Vol 7 (1) ◽  
pp. 217-226 ◽  
Author(s):  
Mary Dozier ◽  
Spring W. Lee

AbstractThis study examined the relationship between psychiatric symptomatology and the representations of attachment relationships held by adults with serious psychopathological disorders. Psychiatric symtomatology was assessed by self-report and three sets of expert ratings. Seventy-six persons with serious psychopathological disorders were included as participants. As expected, persons relying on hyperactivating strategies of attachment reported generally more psychiatric symptoms than did those relying on deactivating strategies of attachment. However, the three sets of experts rated persons relying on deactivating strategies as more symptomatic than others. More specifically, interviewers who conducted Quality of Life Interviews rated dismissing subjects as exhibiting looser thinking than others. Interviewers who conducted Attachment Interviews rated dismissing subjects as experiencing more delusions, hallucinations, and suspiciousness, and case managers rated dismissing subjects as generally more psychotic. These findings suggest that, although greater preoccupation with attachment issues is associated with more acknowledgment of distress generally and symptoms specifically, greater reliance on deactivating strategies may be associated with greater symptomatology observed by others.


2021 ◽  
pp. 1-22
Author(s):  
Alina I. Palimaru ◽  
Ryan McBain ◽  
Keisha McDonald ◽  
Priya Batra ◽  
Sarah B. Hunter

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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