Oncological treatment on physical training in patients with lung, head and neck Cancer: signs and symptoms influence

• Grant number: 21/04233-6
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Effective date (Start): November 01, 2021
• Effective date (End): February 28, 2023
• Field of knowledge: Health Sciences - Physiotherapy and Occupational Therapy
• Principal Investigator: Ercy Mara Cipulo Ramos
• Grantee: Matheus André Pedroso
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil

Abstract

Lung, head, and neck cancers present surgery, chemotherapy, and radiotherapy as main treatments; however, they can promote adverse effects on patients' health. Physical exercise as a complementary treatment to the usual cancer treatment can prevent or lessen the adverse effects of these treatments, nevertheless, these effects can still be present even with the complementary exercise intervention. Thus, the influence of the symptoms caused by the usual cancer treatments on the complementary exercise treatment and the overall cancer treatment completion rates need to be studied. Objective: to verify cancer treatment's adverse symptoms' influence on the treatment's completion rates and on the complementary exercise treatment on lung, head, and neck cancer patients, what are these symptoms, which are experienced more frequently and which are more evidently impactful on the complementary exercise treatment, also, the treatment's completion rate will be correlated with different variables. Methods: patients diagnosed with lung, head, and neck submitted to semi-supervised home-based exercise will be included in this study. These patients will be questioned weekly thorough the whole treatment. Statistical analysis: The normality of the data will be verified by the Shapiro-Wilk test. The ANOVA test to repeated measures (RMANOVA) will be performed to analyze the weekly symptoms. For the intra and inter-group analyses the t Student or the Mann-Whitney test will be used. For the subgroups' physical treatment conclusion data analysis, they will be divided between <50% conclusion rate, e50% conclusion rate <75%, and conclusion rate e75%, (independent variables) these subgroups will be correlated with their age, cancer staging, and body composition (dependent variables), if the data is not normal, the Spearman test will be used, if it is normal, the Pearson test will be used. The Chi-square test will be used to verify the frequency of certain symptoms, coupled with logistic regression analysis. The level of significance used will be p<0,05.(AU)