Objective: To identify factors associated with leisure activities of elderly residents in rural areas.
Method: Quantitative cross-sectional study carried out with 258 elderly living in the rural area of Paraná. The collection instrument addressed sociodemographic, economic, and self-reported leisure activities. The association between variables and leisure activities was verified by means of bivariate and multivariate analysis.
Results: Among the elderly interviewed, 63.9% were female, and 36.1% were male, with an average of 68.3 years old (± 5.8 years). Participation in leisure activities was high (79.8%), and the factors associated with their practice were: marital status, gender, and education.
Conclusion: Considering that the practice of leisure activities promotes better living and health conditions, we reinforce the need to implement actions and instruments that provide individual and collective leisure in rural areas.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1590/0034-7167-2019-0600 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Motor modules are largely unaffected by pathological walking biomechanics: a simulation study.
J Neuroeng Rehabil
January 2025
Department of Mechanical and Aerospace Engineering, University of Florida, PO Box 116250, Gainesville, FL, 32611, USA.
Background: Motor module (a.k.a.
View Article and Find Full Text PDFTranscutaneous spinal cord stimulation combined with robotic-assisted body weight-supported treadmill training enhances motor score and gait recovery in incomplete spinal cord injury: a double-blind randomized controlled clinical trial.
J Neuroeng Rehabil
January 2025
Toledo Physiotherapy Research Group (GIFTO), Faculty of Physiotherapy and Nursing of Toledo, Universidad de Castilla-La Mancha, Toledo, Spain.
Background: Although transcutaneous spinal cord stimulation (tSCS) has been suggested as a safe and feasible intervention for gait rehabilitation, no studies have determined its effectiveness compared to sham stimulation.
Objective: To determine the effectiveness of tSCS combined with robotic-assisted gait training (RAGT) on lower limb muscle strength and walking function in incomplete spinal cord injury (iSCI) participants.
Methods: A randomized, double-blind, sham-controlled clinical trial was conducted.
Association between periodontitis and physical fitness in law enforcement workers.
Clin Oral Investig
January 2025
Unit of Periodontology, University College London, Eastman Dental Institute, London, UK.
Objectives: Oral and periodontal health have been linked to systemic health, cardiovascular disease and inflammation markers. Physical fitness has been linked to increased inflammatory response, but only few studies have investigated the association between oral health with physical activity. The aim of this study was to evaluate the association between oral and periodontal health status and physical fitness in British law enforcement workers.
View Article and Find Full Text PDFWorking With and Through Athletic Trainers to Meet Student-Athletes' Mental Performance and Mental Health Needs.
J Athl Train
January 2025
School of Health Professions, University of Southern Mississippi, Hattiesburg.
Recently, the National Collegiate Athletic Association (NCAA) has placed more attention on the mental health of student-athletes because they are experiencing mental health challenges at a higher rate than their nonathlete peers. This led the NCAA to create a mental health initiative that encouraged athletic departments to hire a mental health professional to meet the psychological needs of student-athletes. Over the last 7 years, we have seen an increase in the number of psychological providers hired in NCAA Division I athletics to meet the varying needs of student-athletes.
View Article and Find Full Text PDFGenerating context-specific sports training plans by combining generative adversarial networks.
PLoS One
January 2025
College of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China.
Personalized sports training plans are essential for addressing individual athlete needs, but traditional methods often need to integrate diverse data types, limiting adaptability and effectiveness. Existing machine learning (ML) and rule-based approaches cannot dynamically generate context-specific training programs, reducing their applicability in real-world scenarios. This study aims to develop a Generative Adversarial Network (GAN)- based framework to create context-specific training plans by integrating numeric attributes (e.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!