Moriah J Brier1, Dianne L Chambless1, Laura Lee2, Jun J Mao3. 1. Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania. 2. Washington University School of Medicine, St. Louis, Missouri. 3. Department of Family Medicine and Community Health, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Abstract
BACKGROUND: Breast cancer survivors on aromatase inhibitors often experience joint pain as a side effect of their treatment; qualitative investigations suggest that this arthralgia may cause women to feel that they are aging faster than they should be. To facilitate further study of this experience, the Penn Arthralgia Aging Scale (PAAS) was developed. This report describes the development and validation of the PAAS in a racially diverse sample of breast cancer survivors suffering from joint pain. METHODS: The items of the scale were developed from a content analysis of interviews with patients. The scale was pilot-tested, and modifications were made on the basis of patient feedback. Subsequently, 596 breast cancer survivors who endorsed joint pain completed the 8-item PAAS. The factor structure (with exploratory factor analysis), the internal consistency, and the convergent, divergent, and incremental validity were examined. RESULTS: The resulting scale had a 1-factor structure with strong internal consistency (Cronbach's α = .94) and demonstrated both convergent and divergent validity: the PAAS was significantly correlated with joint pain severity (rs = 0.55, P < .01) and had a small and nonsignificant correlation with actual age (rs = -0.07, P = .10). The PAAS was also found to explain incremental variance in anxiety, depression, and pain interference outcomes. CONCLUSIONS: These findings suggest that the PAAS produces reliable and valid scores that capture perceptions of aging due to arthralgia among breast cancer survivors. With further research, the PAAS may advance our understanding of how perceptions of aging may affect breast cancer survivors' emotional, behavioral, and clinical outcomes.
BACKGROUND:Breast cancer survivors on aromatase inhibitors often experience joint pain as a side effect of their treatment; qualitative investigations suggest that this arthralgia may cause women to feel that they are aging faster than they should be. To facilitate further study of this experience, the Penn Arthralgia Aging Scale (PAAS) was developed. This report describes the development and validation of the PAAS in a racially diverse sample of breast cancer survivors suffering from joint pain. METHODS: The items of the scale were developed from a content analysis of interviews with patients. The scale was pilot-tested, and modifications were made on the basis of patient feedback. Subsequently, 596 breast cancer survivors who endorsed joint pain completed the 8-item PAAS. The factor structure (with exploratory factor analysis), the internal consistency, and the convergent, divergent, and incremental validity were examined. RESULTS: The resulting scale had a 1-factor structure with strong internal consistency (Cronbach's α = .94) and demonstrated both convergent and divergent validity: the PAAS was significantly correlated with joint pain severity (rs = 0.55, P < .01) and had a small and nonsignificant correlation with actual age (rs = -0.07, P = .10). The PAAS was also found to explain incremental variance in anxiety, depression, and pain interference outcomes. CONCLUSIONS: These findings suggest that the PAAS produces reliable and valid scores that capture perceptions of aging due to arthralgia among breast cancer survivors. With further research, the PAAS may advance our understanding of how perceptions of aging may affect breast cancer survivors' emotional, behavioral, and clinical outcomes.
Authors: Jun J Mao; Annie Chung; Adrian Benton; Shawndra Hill; Lyle Ungar; Charles E Leonard; Sean Hennessy; John H Holmes Journal: Pharmacoepidemiol Drug Saf Date: 2013-01-16 Impact factor: 2.890
Authors: Kannie Chim; Sharon X Xie; Carrie T Stricker; Qing S Li; Robert Gross; John T Farrar; Angela DeMichele; Jun J Mao Journal: BMC Cancer Date: 2013-09-03 Impact factor: 4.430
Authors: Sheila N Garland; Brad Johnson; Christina Palmer; Rebecca M Speck; Michelle Donelson; Sharon X Xie; Angela DeMichele; Jun J Mao Journal: Breast Cancer Res Date: 2014-07-31 Impact factor: 6.466