Examining the Factor Structure and Psychometric Properties of the Quality of Life Scale Among People With Multiple Sclerosis

2015 ◽  
Vol 29 (2) ◽  
pp. 165-182
Author(s):  
Shawn M. Fitzgerald ◽  
Jian Li ◽  
Phillip D. Rumrill ◽  
Malachy Bishop ◽  
William R. Merchant

Rehabilitation counseling researchers seeking to more fully understand the phenomenon of psychosocial adaptation to disability are devoting increased attention to the impact of disability on quality of life (QOL). This impact has been of particular interest among multiple sclerosis (MS) researchers. The complex etiology, unpredictable nature, and the multiple functional limitations attendant to MS have been identified as major impediments in research efforts to develop psychometrically sound and clinically sensitive tools to evaluate the impact of MS on QOL. This article presents the results of a confirmatory factor analysis of the factor structure of the Quality of Life Scale (QOLS), which has been used in several studies to evaluate the impact of MS on QOL. The QOLS was developed to assess the self-reported QOL of people with chronic pain and evaluates the degree of satisfaction with 7 distinct domains of personal and social activity. The developers’ original principal component analysis revealed a single-factor model with high levels of internal consistency reliability. It is not clear, however, how the 1-factor model fits the population of individuals with MS and how the 7 items perform in terms of their measurement of the single factor. The 1-factor structure of the QOLS did not fit the data well in this sample of individuals with MS. Subsequent model iterations that incorporated 3 error covariances provided increasingly better fit and resulted in a reasonable model fit to the data.

Author(s):  
Germina-Alina Cosma ◽  
Alina Chiracu ◽  
Amalia Raluca Stepan ◽  
Marian Alexandru Cosma ◽  
Marian Costin Nanu ◽  
...  

The aim of this study was to analyze athletes’ quality of life during the COVID-19 pandemic. The study involved 249 athletes between 15 and 35 of age, M = 21.22, SD = 5.12. The sample was composed of eight Olympic Games medalists, three European medalists, 67 international medalists, and 63 national medalists. The instruments used were: (1) COVID-19 Anxiety Scale, (2) Athlete Quality of Life Scale, (3) Impact of Pandemic on Athletes Questionnaire, and (4) International Personality Item Pool (IPIP Anxiety, Depression, and Vulnerability Scales). The results indicate significant differences in COVID-19 anxiety depending on the sport practiced, F (9239) = 3.81, p < 0.01, showing that there were significant differences between sports. The negative impact of the COVID-19 pandemic mediates the relationship between trait anxiety and the athletes’ quality of life. The percentage of mediation was 33.9%, and the indirect effect was −0.11, CI 95% (−0.18, −0.03), Z = −2.82, p < 0.01. Trait anxiety has an increasing effect on the intensity of the negative impact of the COVID-19 pandemic, 0.23, CI 95% (.10, 0.35), Z = 3.56, p < 0.01, and the negative impact of the COVID-19 pandemic has a decreasing effect on quality of life, −0.47, CI 95% (−0.67, −0.27), Z = −4.62, p < 0.01. Gender and age did not moderate the relationship between the negative impact of COVID-19 and athletes’ quality of life. The results of the study highlighted the impact that social isolation and quarantine have on athletes’ affective well-being.


Author(s):  
Samira Zarrabi-Ajami ◽  
Hadi Zamanian ◽  
Mohammadali Amini-Tehrani ◽  
Zahra Farhadidanaloo ◽  
Razieh Janati Razavi ◽  
...  

2015 ◽  
Vol 46 (3) ◽  
pp. 680-687 ◽  
Author(s):  
Brian D. Stucky ◽  
Cathy D. Sherbourne ◽  
Maria Orlando Edelen ◽  
Nicole K. Eberhart

This study identifies the unique contributions of asthma severity, symptoms, control and generic measures of quality of life (QoL) to asthma-specific QoL, as measured by the 12-item RAND Negative Impact of Asthma on Quality of Life scale (RAND-IAQL-12).Using a sample of 2032 adults with asthma, we conducted multiple regression analyses that sequentially examined hypothesised predictors of asthma-specific QoL. The change in variance accounted for and total unique variance accounted for is calculated as hypothesised predictors are added in each step.Our results indicate that asthma severity and asthma symptoms are strong predictors of asthma-specific QoL only when not controlling for aspects of asthma control. In regression models that include other aspects of asthma control, the contributions of both asthma symptoms and severity were substantially reduced, with asthma control and aspects of QoL related to social roles and activities emerging as the strongest predictors of asthma-specific QoL.These findings suggest that researchers measuring the impact of asthma on QoL should also consider the importance of asthma control as measured by the RAND Asthma Control Measure (RAND-ACM) and generic QoL scales that measure aspects of daily life that are uniquely affected by asthma.


2009 ◽  
Vol 32 (2) ◽  
pp. 162-166 ◽  
Author(s):  
Derya Iren Akbiyik ◽  
Vildan Sumbuloglu ◽  
Zafer Guney ◽  
Kadriye Armutlu ◽  
Nilufer Korkmaz ◽  
...  

2012 ◽  
Vol 22 (8) ◽  
pp. 1943-1954 ◽  
Author(s):  
Antoine Baroin ◽  
Gilles Chopard ◽  
Gaye Siliman ◽  
Clément Michoudet ◽  
Aurore Vivot ◽  
...  

2002 ◽  
Vol 8 (5) ◽  
pp. 372-376 ◽  
Author(s):  
C R Nicholl ◽  
N B Lincoln ◽  
E D Playford

Objective: To investigate whether the Nottingham Extended Activities of Daily Living Scale (EADL) is reliable and valid for the assessment of disability in patients with multiple sclerosis (MS). Design: Questionnaire measures were administered on two occasions four months apart. Subjects: A total of 240 patients recruited through a randomized controlled trial of cognitive assessment and treatment in MS. Measures: The Nottingham EADL, Guys Neurological Disability Scale (GNDS) and SF-36 quality of life scale. Results: The EADL items did not form a Guttman Scale (CR 0.8, CS 0.3). The EADL and its four subscales all had high internal consistency (α 0.72-0.94). Test-retest reliability was satisfactory (rs 0.81-0.90) with a mean difference in scores on the two occasions of 0.29. Factor analysis generally supported the subscale structure. There were significant but weak correlations with quality of life measures. Conclusions: The EADL shows promise for the assessment of disability in MS, but the range of items needs to be extended. Further evaluation of the scale seems warranted.


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