Cliona O'Riordan1, Amanda Clifford2, Pepijn Van De Ven3, John Nelson3. 1. Department of Clinical Therapies, University of Limerick, Limerick, Ireland. Electronic address: Cliona.ORiordan@ul.ie. 2. Department of Clinical Therapies, University of Limerick, Limerick, Ireland. 3. Department of Electronic and Computer Engineering, University of Limerick, Limerick, Ireland.
Abstract
OBJECTIVE: To identify the most effective components in an active exercise physiotherapy treatment intervention for chronic neck pain based on the frequency, intensity, time, and type (FITT) exercise method of tailoring physical activity recommendations to the individual needs and goals of patients. DATA SOURCES: Databases, including the Allied and Complementary Medicine Database, Cumulative Index to Nursing and Allied Health, MEDLINE, SPORTDiscus, Biomedical Reference Collection, and Academic Search Premier, were searched for relevant articles. STUDY SELECTION: Quantitative design studies that included active exercise as part of a multimodal or stand-alone approach were selected. Only studies scoring ≥6 on the Physiotherapy Evidence Database Scale were included in the review because this reflected a good level of evidence. DATA EXTRACTION: Study methodologies and relevant outcome measures, including isometric strength, Neck Disability Index scores, and pain scores, were extracted from relevant articles and grouped together for appraisal and synthesis. DATA SYNTHESIS: Evidence from selected articles was synthesized according to the FITT exercise principal to determine the most effective exercise type, frequency, and intensity in the treatment of chronic neck pain. CONCLUSIONS: Physiotherapy interventions using a multimodal approach appear to produce more beneficial outcomes in terms of increased strength, improved function, and health-related quality of life and reduced pain scores. Active strengthening exercises appear to be beneficial for all of these outcomes; the inclusion of additional stretching and aerobic exercise components appear to enhance the benefits of an exercise intervention.
OBJECTIVE: To identify the most effective components in an active exercise physiotherapy treatment intervention for chronic neck pain based on the frequency, intensity, time, and type (FITT) exercise method of tailoring physical activity recommendations to the individual needs and goals of patients. DATA SOURCES: Databases, including the Allied and Complementary Medicine Database, Cumulative Index to Nursing and Allied Health, MEDLINE, SPORTDiscus, Biomedical Reference Collection, and Academic Search Premier, were searched for relevant articles. STUDY SELECTION: Quantitative design studies that included active exercise as part of a multimodal or stand-alone approach were selected. Only studies scoring ≥6 on the Physiotherapy Evidence Database Scale were included in the review because this reflected a good level of evidence. DATA EXTRACTION: Study methodologies and relevant outcome measures, including isometric strength, Neck Disability Index scores, and pain scores, were extracted from relevant articles and grouped together for appraisal and synthesis. DATA SYNTHESIS: Evidence from selected articles was synthesized according to the FITT exercise principal to determine the most effective exercise type, frequency, and intensity in the treatment of chronic neck pain. CONCLUSIONS: Physiotherapy interventions using a multimodal approach appear to produce more beneficial outcomes in terms of increased strength, improved function, and health-related quality of life and reduced pain scores. Active strengthening exercises appear to be beneficial for all of these outcomes; the inclusion of additional stretching and aerobic exercise components appear to enhance the benefits of an exercise intervention.
Authors: José Edson França da Silva Júnior; Almir Vieira Dibai-Filho; Gabriela Nascimento de Santana; Aron Charles Barbosa da Silva; Fabiano Politti; Daniela Aparecida Biasotto-Gonzalez; Cid André Fidelis de Paula Gomes Journal: Lasers Med Sci Date: 2021-11-12 Impact factor: 3.161