The Relationship between Loneliness and Perceived Quality of Life among Older Persons with Visual Impairments

2015 ◽  
Vol 109 (6) ◽  
pp. 487-499 ◽  
Author(s):  
Steven J. La Grow ◽  
Andy Towers ◽  
Polly Yeung ◽  
Fiona Alpass ◽  
Christine Stephens
2009 ◽  
Vol 17 (1) ◽  
pp. 69-79 ◽  
Author(s):  
Hamid R. Sohrabi ◽  
Kristyn A. Bates ◽  
Mark Rodrigues ◽  
Kevin Taddei ◽  
Georgia Martins ◽  
...  

2010 ◽  
Vol 20 (3) ◽  
pp. 407-413 ◽  
Author(s):  
Steven La Grow ◽  
Fiona Alpass ◽  
Christine Stephens ◽  
Andrew Towers

2021 ◽  
Vol 9 (2) ◽  
pp. 90-99
Author(s):  
Nahid Unkic ◽  
◽  
Jasmina Okicic ◽  

The purpose of this research is to provide some insights into relationship between decisionmaking heuristics and perceived quality of life. Using the purposive sampling technique, data collection was carried out, in Bosnia and Herzegovina, from June to October 2020, yielding a sample of 319 valid responses. To gain a better understanding of the relationship between decision-making heuristics and the perceived quality of life, we, primarily, use descriptive statistical analysis, chi-square test and probit regression model. The research findings have revealed positive association between all three decision-making heuristics, i.e. representativeness, anchoring, availability, and perceived quality of life. Furthermore, the group with above-average perceived quality of life have higher representativeness, anchoring, and availability scores comparing to the group with below-average perceived quality of life. These differences are statistically significant. Furthermore, out of three decision-making heuristics components, availability, or a heuristic whereby people make judgments about the likelihood of an event based on how easily a similar example comes to mind, seems to be the strongest predictor of the perceived quality of life. Memories that are easily recalled are often insufficient for estimating likelihood of occurring similar events again in the future. In that respect, availability may produce low-quality information in the decision making process. Ultimately, this may lead to bad decisions.


2012 ◽  
Vol 24 (1) ◽  
pp. 68-73 ◽  
Author(s):  
Oriana Fusco ◽  
Alessandro Ferrini ◽  
Michaela Santoro ◽  
Maria Rita Lo Monaco ◽  
Giovanni Gambassi ◽  
...  

2009 ◽  
Vol 103 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Elizabeth A. Holbrook ◽  
Jennifer L. Caputo ◽  
Tara L. Perry ◽  
Dana K. Fuller ◽  
Don W. Morgan

Author(s):  
Ana F. Silva ◽  
Jose Mª Cancela ◽  
Irimia Mollinedo ◽  
Miguel Camões ◽  
Pedro Bezerra

This study aimed to investigate the relationship between health perception and health predictors among the elderly. In this study, 376 older adults from four different countries (Hungary, n = 86; Italy, n = 133; Portugal, n = 95; and Spain, n = 62) were analyzed. All subjects completed the EQ-5D-5L to assess their quality-adjusted life years and were assessed in handgrip (HG) and in Timed Up and Go (TUG) tests. A three-way MANOVA was conducted to analyze the groups based on their age, sex, and country. The interaction effects in all included variables were also considered. The Bonferroni test was also executed as a post hoc test. Any interaction results were noticed. Regarding age, lower perceived quality of life scores and higher TUG results were registered in the oldest group, and greater values of left and right HG results were registered in the second-oldest group. Males showed greater left and right HG values than women. Spain showed lower perceived quality of life scores. Portugal and Italy showed greater HG left values, while Portugal had better HG right values. Hungary produced the greatest TUG scores. Quality of life is dependent on the subject’s age and physical fitness, as increasing age was associated with decreased values of HG and TUG. Only strength was different between sexes.


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