Cuesta-Vargas, AntonioBuchan, JenaPajares, BellaAlba, EmilioRoldan-Jiménez, Cristina2024-02-102024-02-102019-04-22http://hdl.handle.net/10668/13860http://hdl.handle.net/20.500.12105/17853Although breast cancer mortality is decreasing, morbidity following treatment remains a significant issue, as patients face symptoms such as cancer-related fatigue (CRF). The aim of the present study is to develop a classification system that monitors fatigue via integration of an objective clinical assessment with patient self-report. Forty-three women participated in this research. Participants were post-treatment breast cancer survivors who had been surgically treated for their primary tumour with no evidence of neoplastic disease at the time of recruitment. Self-perceived fatigue was assessed with the Spanish version of the Piper Fatigue Scale-Revised (R-PFS). Objective fatigue was assessed by the 30 second Sit-to-Stand (30-STS) test. Confirmatory factor analysis was done with Maximum Likelihood Extraction (MLE). Internal consistency was obtained by Cronbach's α coefficients. Bivariate correlation showed that 30-STS performance was negatively-inversely associated with R-PFS. The MANOVA model explained 54.3% of 30-STS performance variance. Using normalized scores from the MLE, a classification system was developed based on the quartiles. This study integrated objective and subjective measures of fatigue to better allow classification of patient CRF experience. Results allowed development of a classification index to classify CRF severity in breast cancer survivors using the relationship between 30-STS and R-PFS scores. Future research must consider the patient-perceived and clinically measurable components of CRF to better understand this multidimensional issue.engVoRhttp://creativecommons.org/licenses/by/4.0/AdultAgedBreast NeoplasmsFatigueFemaleHumansMiddle AgedMultivariate AnalysisPatient Reported Outcome MeasuresReproducibility of ResultsAttribution 4.0 International31009501144e021566210.1371/journal.pone.02156621932-6203PloS oneopen access