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Published January 1, 2024

Interdisciplinary Rehabilitation / Rehabilitación Interdisciplinaria

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Editorial Salud, Ciencia y Tecnología

Title:

Interdisciplinary Rehabilitation / Rehabilitacion Interdisciplinaria

ISSN-L: 2953-5069

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2024-06-14 Original
Physical fitness assessment of a Venezuelan industrial direct labor force population

By Alejandro Labrador Parra, Evelin Escalona, Francisco Burgos Navarrete

Introduction The purpose of this research is to evaluate the physical fitness variables of Venezuelan workers, taking into account exercise batteries or submaximal tests that have been little used in the industrial environment.
Methods: A quantitative, descriptive, cross-sectional, epidemiological and field study was conducted in a Venezuelan population of industrial direct labor workers in bipedestation. The sample consisted of 185 workers (M: 136, W: 49) in the main industrial areas of the state of Aragua-Venezuela.
Results: Results were obtained on the physical fitness of Venezuelan industrial direct labor workers presenting average results in both sexes. Calculations for obtaining HRmax and RAC in ml O2 min-1 kg-1 were taken into account.
Conclusions: A population of industrial direct labor was observed, of low physical capacity with values associated with age (42.87 M-38.43W), physical wear and tear, poor physical fitness habits, poor dietary habits and decrease in muscle mass.

2024-04-29 Review
Artificial Intelligence in Sports: Data Analysis to Enhance Training

By Efrén Mesías Palacios Zumba, Vicente Anderson Aguinda Cajape, Jorge Luis Serrano Aguilar, Liliana Elizabeth Villagomez Arias, Zoila Esther Realpe Zambrano, Jaime Reinaldo Ramírez Guamán, Richar Jacobo Posso Pacheco

The objective of this article was to explore the role of artificial intelligence in the field of sports, focusing on data analysis to enhance training. A literature review was conducted to examine different artificial intelligence algorithms to identify patterns and trends that enable the application of effective and personalized training strategies. Additionally, practical and ethical implications of using artificial intelligence in sports were discussed, along with potential future directions for interdisciplinary research and sports development. In conclusion, the transformative potential of artificial intelligence in sports is revealed, emphasizing its ability to personalize training and enhance athlete performance.

 

Rheumatoid arthritis (RA) is a chronic, autoimmune, and systemic inflammatory disease that mainly affects diarthrodial joints. Its global prevalence is 0.5-1% in adults, increasing to 5% in women over 55 years old. RA reduces the quality of life and life expectancy by 3-10 years, mainly due to associated cardiovascular diseases. Current treatment is based on initiating early disease-modifying therapy with the goal of suppressing inflammation, inducing remission, preventing joint damage, and improving functionality. Antirheumatic medications include non-steroidal anti-inflammatory drugs, glucocorticoids, non-biological immunosuppressants like methotrexate, and biological immunomodulators such as anti-TNF or anti-interleukins, which have shown high clinical effectiveness. However, there is individual variability in therapeutic response, adverse effects, and loss of efficacy over time. This study conducted a systematic literature review following the PRISMA methodology. The search was performed on PubMed, Scopus, and Web of Science, using MESH terms and keywords related to rheumatoid arthritis, treatments, effectiveness, and prognostic factors. Studies published between 2015-2022 were included, ultimately selecting 30 articles that met eligibility criteria. The objective of this review was to compile and synthesize available evidence on currently used medications and therapies for rheumatoid arthritis, factors associated with therapeutic success, and the most frequently reported complications or adverse effects. The results contribute to enhancing treatment strategies, considering a personalized approach based on each patient's needs.

2024-03-11 Case Report
Physiotherapy for Alzheimer’s Disease: A Case Report

By Ambreen Fatima, Pragnya Jyoti Dash, Sachin Gupta, Sumera Khan

Alzheimer's disease is a progressive neurological condition characterized by brain changes resulting in the accumulation of specific proteins, leading to brain shrinkage and eventual cell death. It is the primary cause of dementia, resulting in a gradual decline in memory, cognition, behaviour, and social skills, impairing overall functionality. The case study involves an 84-year-old woman displaying symptoms of Alzheimer's disease requiring physiotherapy rehabilitation. Assessment reveals joint pain, abnormal gait, respiratory issues due to pneumonia, reduced balance and cognitive function, concentration difficulties, impaired decision-making, fluctuating moods, and behavioural issues such as depression and aggression. Physical examination shows shoulder shrugging and slight tension in the upper trapezius muscle. The rehabilitation program involves various interventions like stretching, strengthening, aerobic exercises, breathing exercises, lung clearance techniques, active range of motion exercises, postural control, and gait training. The role of the physiotherapist is to address the both physical and cognitive decline and improve mood and behaviour.

2023-12-31 Short communications
Advancement, utilization, and future outlook of Artificial Intelligence for physiotherapy clinical trials in India: An overview

By Mohammad Sidiq, Aksh Chahal, Sachin Gupta, Krishna Reddy Vajrala

As healthcare landscapes evolve, Artificial intelligence (AI) has emerged as a transformative force in physiotherapy research in India. The integration of machine learning algorithms, computer vision, and natural language processing has significantly advanced the analysis of patient data, enabling the prediction of treatment outcomes and personalization of physiotherapy interventions. This overview delves into specific examples of successful AI integration in ongoing clinical trials within the Indian context, showcasing notable improvements in trial efficiency and positive impacts on patient outcomes. Challenges in implementing AI, including data security, ethical considerations, and the need for specialized training, are discussed. Proposed solutions encompass robust data encryption, ethical guidelines, interpretability of AI models, and targeted educational programs for healthcare professionals. Looking forward, the future outlook emphasizes personalized treatment plans, expanded tele physiotherapy using wearable technology, and the integration of augmented and virtual reality. Ethical and regulatory frameworks, continued advancements in robotic assistance, and interdisciplinary collaboration are highlighted as key factors shaping the trajectory of AI in physiotherapy clinical trials in India. The primary objectives of this manuscript are to explore the current state of AI in physiotherapy clinical trials in India, assess its utilization, and discuss the potential future developments in the field.

Current Issue
2024-06-14 Original Scientific Articles

By Alejandro Labrador Parra, Evelin Escalona, Francisco Burgos Navarrete

2024-01-03 Original Scientific Articles

By Norma Beatriz Ríos, Celeste Macarena Arteaga, Yureny González Arias, Aylen Ayelen Martínez, Melina Hitomi Nogawa, Ayelen Macarena Quinteros, Carlos Jesús Canova Barrios

2024-04-01 Original Scientific Articles

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2024-04-29 Original Scientific Articles

By Efrén Mesías Palacios Zumba, Vicente Anderson Aguinda Cajape, Jorge Luis Serrano Aguilar, Liliana Elizabeth Villagomez Arias, Zoila Esther Realpe Zambrano, Jaime Reinaldo Ramírez Guamán, Richar Jacobo Posso Pacheco

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2024-03-11 Original Scientific Articles

By Ambreen Fatima, Pragnya Jyoti Dash, Sachin Gupta, Sumera Khan

2023-12-31 Original Scientific Articles

By Mohammad Sidiq, Aksh Chahal, Sachin Gupta, Krishna Reddy Vajrala

2024-02-11 Original Scientific Articles

By Manoela Gallon Pitta, Kelly Zhang, Gustavo Henrique de Mello Rosa, Lucas Hipolito do Espírito Santo, Elaine Caldeira de Oliveira Guirro, João Eduardo de Araujo

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