Antonio Ignacio Cuesta-Vargas1, Bella Pajares2, Manuel Trinidad-Fernandez3, Emilio Alba4, Cristina Roldan-Jiménez5. 1. Physical Therapy Department, Health Sciences Faculty, University of Málaga, Av/Arquitecto Penalosa s/n (Treatinos Campus Expansion), Málaga 29071 Spain; The Institute of Biomedical Research in Malaga (IBIMA), Malaga, Spain; and School of Clinical Science, Faculty of Health Science, Queensland University Technology, Brisbane, Queensland, Australia. 2. The Institute of Biomedical Research in Malaga (IBIMA). 3. Physical Therapy Department, Health Sciences Faculty, University of Málaga. 4. University of Málaga, Andalucia Tech, and The Institute of Biomedical Research in Malaga (IBIMA), Oncology. 5. Physical Therapy Department, Health Sciences Faculty, University of Málaga, Andalucía Tech, Málaga, Spain, and The Institute of Biomedical Research in Malaga (IBIMA).
Abstract
BACKGROUND: Cancer-related fatigue is a symptom commonly reported in survivors of breast cancer and is the most variable symptom. Besides questionnaires like PIPER to assess cancer-related fatigue, there is a need to objectively measure fatigue. OBJECTIVE: The aim of this study was to assess the physiological dimension of fatigue based on acceleration during a 30-second maximal sit-to-stand test. DESIGN: This was a cross-sectional study. METHODS: Linear acceleration from a smartphone placed on the sternum was recorded in 70 survivors of breast cancer. Fourth-degree polynomial adjustment from the acceleration signal to the vertical and anterior-posterior axis was calculated. The fatigue temporal cut-off point was detected as a change in the curve slope of the first maximum point of acceleration. RESULTS: Women were aged 51.8 (8.9) years with a body mass index of 25.4 (5.1) Kg/m2. They performed 23.6 (6.57) number of repetitions. The mean fatigue cut-off point from the total sample was 10.2 (3.1) seconds. LIMITATIONS: Further research should employ time-prolonged tests to study acceleration behavior beyond 30 seconds as well as include a physiological criterion that justifies the nonlinear saturation of the acceleration-based criterion. CONCLUSIONS: This study assessed fatigue through a low-cost and easy-to-use methodology during a functional and widely used test such as 30-second maximal sit-to-stand. This would allow clinicians to assess fatigue in a short-effort exercise to individualize exercise prescription dose, measure changes during intervention, and track fatigue objectively throughout survivorship.
BACKGROUND:Cancer-related fatigue is a symptom commonly reported in survivors of breast cancer and is the most variable symptom. Besides questionnaires like PIPER to assess cancer-related fatigue, there is a need to objectively measure fatigue. OBJECTIVE: The aim of this study was to assess the physiological dimension of fatigue based on acceleration during a 30-second maximal sit-to-stand test. DESIGN: This was a cross-sectional study. METHODS: Linear acceleration from a smartphone placed on the sternum was recorded in 70 survivors of breast cancer. Fourth-degree polynomial adjustment from the acceleration signal to the vertical and anterior-posterior axis was calculated. The fatigue temporal cut-off point was detected as a change in the curve slope of the first maximum point of acceleration. RESULTS:Women were aged 51.8 (8.9) years with a body mass index of 25.4 (5.1) Kg/m2. They performed 23.6 (6.57) number of repetitions. The mean fatigue cut-off point from the total sample was 10.2 (3.1) seconds. LIMITATIONS: Further research should employ time-prolonged tests to study acceleration behavior beyond 30 seconds as well as include a physiological criterion that justifies the nonlinear saturation of the acceleration-based criterion. CONCLUSIONS: This study assessed fatigue through a low-cost and easy-to-use methodology during a functional and widely used test such as 30-second maximal sit-to-stand. This would allow clinicians to assess fatigue in a short-effort exercise to individualize exercise prescription dose, measure changes during intervention, and track fatigue objectively throughout survivorship.
Authors: Cristina Roldán-Jiménez; Bella Pajares; Sofía Ruiz-Medina; Manuel Trinidad-Fernández; Manuel González-Sánchez; Nuria Ribelles; José Manuel García-Almeida; María José Ríos-López; Emilio Alba; Antonio Ignacio Cuesta-Vargas Journal: Support Care Cancer Date: 2021-08-31 Impact factor: 3.359
Authors: Estíbaliz Díaz-Balboa; Violeta González-Salvado; Beatriz Rodríguez-Romero; Amparo Martínez-Monzonís; Milagros Pedreira-Pérez; Antonio I Cuesta-Vargas; Rafael López-López; José R González-Juanatey; Carlos Pena-Gil Journal: Support Care Cancer Date: 2022-07-11 Impact factor: 3.359