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1.
J Sport Rehabil ; 33(3): 161-165, 2024 Mar 01.
Article in English | MEDLINE | ID: mdl-38194954

ABSTRACT

CONTEXT: Wheelchair Power Soccer (WPS) is the only team sport that allows the participation of people with severe physical disabilities who require the daily use of motorized wheelchairs. These individuals may live with chronic pain due to the characteristics of the disabilities and treatments, interfering with their health and limiting their participation in sports. OBJECTIVES: To investigate the prevalence of musculoskeletal pain and its relationship with mood in WPS players and to analyze the incidence of traumatic injuries during a championship. METHODS: A prospective, longitudinal study was carried out on 30 WPS athletes (93.33% male) with a mean (SD) (range) age of 22.37 (9.79) (47) years. Data collection was performed during a South American WPS Championship lasting 3 days, with: investigation of the presence of musculoskeletal pain and mood through a questionnaire; investigation of the occurrence of traumatic injuries through match observation; and confirmation of the occurrence of traumatic injuries through access to medical department records. RESULTS: About 30% (n = 9/30) of the sample presented some pain on the day of evaluation, with an intensity of 5.67 (3.35) (10) points on the visual analog scale. The most common regions of pain were the lower back (13.3%, n = 4/30), thoracic (10%; n = 3/30), and cervical (10%; n = 3/30) areas of the spine. A total of 46.7% (n = 14/30) reported pain in the month before data collection but of less intensity (2.56 [4] [10] points), the most common regions being the lower limbs (20%; n = 6/30) and cervical spine (20%; n = 6/30). Among the between-group comparisons (ie, participants with pain vs without pain), no relationship was observed between mood state and pain. No traumatic injuries were identified during the competition. CONCLUSION: The presence of musculoskeletal pain was common in WPS players, but it was not related to mood. As no traumatic injuries were observed during the championship, this modality seems to be safe for people with physical disabilities in general.


Subject(s)
Athletic Injuries , Musculoskeletal Pain , Soccer , Male , Humans , Middle Aged , Female , Musculoskeletal Pain/epidemiology , Athletic Injuries/epidemiology , Longitudinal Studies , Prospective Studies , Cervical Vertebrae
2.
Sustain Cities Soc ; 96: 104656, 2023 Sep.
Article in English | MEDLINE | ID: mdl-37287765

ABSTRACT

The COVID-19 pandemic has disrupted people's daily routines, including travel behaviors, social interactions, and work-related activities. However, the potential impacts of COVID-19 on the use of campus locations in higher education such as libraries, food courts, sports facilities, and other destinations are still unknown. Focusing on three largest universities in Texas (Texas A&M university, the University of Texas at Austin, and Texas Tech University), this study compares changes in campus destination visitations between pre and post COVID-19 outbreak (2019 Fall and 2021 Fall semesters, respectively) using the mobility data from SafeGraph. It also examines the potential moderation effects of walkable distance (i.e. 1 km) and greenery (i.e. NDVI value). The results presented the significant effects of COVID-19 on decreasing visitations to various campus places. The visitation decreased more significantly for people living within 1 km (defined as a walkable distance) of campus and for the food, eating, and drinking places and the sports, recreation, and sightseeing places. This finding suggests that those living near campus (mostly students) decreased their reliance on campus destinations, especially for eating/drinking and recreation purposes. The level of greeneries at/around campus destinations did not moderate campus visitations after COVID-19. Policy implications on campus health and urban planning were discussed.

3.
J Environ Manage ; 285: 112049, 2021 May 01.
Article in English | MEDLINE | ID: mdl-33578210

ABSTRACT

Forest plays an important role in keeping water ecosystem services, such as drinking water provision. Thus, payment for ecosystem services is an essential instrument to promote forest restoration in agricultural watersheds. However, funds are limited and must be well planned to ensure water resources conservation and water ecosystem services improvement. In this context, our study aimed to identify priority areas for forest restoration, based on water ecosystem services in agricultural landscapes. For this, we have developed a decision-making support model for agricultural watersheds (in the Atlantic Forest region), based on mixed approaches, that were multicriteria evaluation (MCE) and Participatory Technique. The model will help decision-makers and stakeholders to set priorities for payment for ecosystem services programs implementation. So, we evaluate its application in watersheds with different forest cover patterns to check if it can be applied to different landscape patterns. The base of the model was the following criteria, that were produced with high-resolution data and ranking in the Participatory Technique context, considering their importance for the study: proximity to spring, slope, soil erodibility, topographic index, and land-use/land-cover (LULC). The criteria were aggregated by the Weighted Linear Combination (WLC) method (an MCE method). The priorities maps showed areas classified as high priority near the rivers (at most 200 m far from rivers), on the greatest slopes (>40%), on soils associated with high potential of erosion, and predominantly in agriculture lands. However, this class presented more percentage of the area associated with native forest in the forested watershed (native forest covers 55% of its area) than in the watershed non-forested (native forest covers 25%). Another important point of the final maps was a high percentage of areas associated with the medium class, which is a characteristic of the WLC method. Thus, areas classified as high and medium priority was defined as targets for forest restoration in the watersheds. We can conclude that for small watersheds, the MCE method, with high-resolution data, supports an appropriate prioritization of areas for forest restoration, aiming at the improvement of water ecosystem services. This way, our model can be applied to various payments for ecosystem services schemes in agricultural landscapes worldwide.


Subject(s)
Conservation of Natural Resources , Ecosystem , Agriculture , Forests , Rivers , Water
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