Literature DB >> 23320955

Psychometric properties of the QuickPIPER: a shortened version of the PIPER Fatigue scale.

A I Cuesta-Vargas1, C Férnandez-Lao, I Cantarero-Villanueva, A M Castro-Sánchez, C Fernández-de-Las Peñas, M J Polley, M Arroyo-Morales.   

Abstract

This paper proposes 'QuickPIPER', a 15-item, validated one-dimensional model representing cancer-related fatigue, based on factor analysis testing of the Piper Fatigue Scale-revised (R-PFS). One hundred and eleven breast cancer survivors participated in this prospective, observational study of the QuickPIPER validation. Participants completed the R-PFS and the Profile of Mood States (POMS) Fatigue and Vigor subscales. The questionnaires were tested concurrently before and after a multimodal exercise programme trial. Psychometric characteristics assessed from the sample included internal consistency and factor analysis, concurrent criterion validity and predictive ability. The results shows that the correlation matrix for the QuickPIPER questionnaire was determined as suitable with the Kaiser-Meyer-Oklin values (0.89) and Bartlett's Test of Sphericity (P < 0.001). The total cumulative variance explained was 65.32%. The goodness-of-fit indices of confirmatory factor analysis were satisfactory (normed fit index = 0.91 and comparative fit index = 0.92). Test-retest reliability was very good (r = 0.947, P < 0.001). The QuickPIPER scores correlated with POMS Fatigue (r = 0.800) and POMS Vigor (r = -0.352) subscales. Predictive ability showed that the area under the curves for the screening questionnaires was 0.743 (95% confidence interval 0.579-0.906). The 15-item QuickPIPER possesses similar properties to the 22-item R-PFS and offers the important advantage of brevity.
© 2013 Blackwell Publishing Ltd.

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Year:  2013        PMID: 23320955     DOI: 10.1111/ecc.12022

Source DB:  PubMed          Journal:  Eur J Cancer Care (Engl)        ISSN: 0961-5423            Impact factor:   2.520


  5 in total

1.  Comparison of fatigue accumulated during and after prolonged robotic and laparoscopic surgical methods: a cross-sectional study.

Authors:  Manuel González-Sánchez; Ivan González-Poveda; Santiago Mera-Velasco; Antonio I Cuesta-Vargas
Journal:  Surg Endosc       Date:  2016-06-28       Impact factor: 4.584

2.  Effects of traditional Chinese medicine Shu Gan Jian Pi granules on patients with breast cancer and cancer-related fatigue: study protocol for a randomized controlled trial.

Authors:  Chen Li; GuoWang Yang; MingWei Yu; YongMei Xu; Na Xue; Nan Nan; XiaoMin Wang
Journal:  Trials       Date:  2015-04-26       Impact factor: 2.279

3.  Cancer-related fatigue stratification system based on patient-reported outcomes and objective outcomes: A cancer-related fatigue ambulatory index.

Authors:  Antonio Cuesta-Vargas; Jena Buchan; Bella Pajares; Emilio Alba; Cristina Roldan-Jiménez
Journal:  PLoS One       Date:  2019-04-22       Impact factor: 3.240

4.  Screening and Assessment of Cancer-Related Fatigue: A Clinical Practice Guideline for Health Care Providers.

Authors:  Mary Insana Fisher; Joy C Cohn; Shana E Harrington; Jeanette Q Lee; Daniel Malone
Journal:  Phys Ther       Date:  2022-09-04

5.  Effectiveness of an individualized program of muscular strength and endurance with aerobic training for improving germ cell cancer-related fatigue in men undergoing chemotherapy: EFICATEST study protocol for a randomized controlled trial.

Authors:  Antonio Ignacio Cuesta-Vargas; Francisco Carabantes; Zaira Caracuel; Inmaculada Conejo; Emilio Alba
Journal:  Trials       Date:  2016-01-05       Impact factor: 2.279

  5 in total

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