Background: Young people with Special Educational Needs and Disabilities (SEND) are especially vulnerable to physical inactivity. Research has demonstrated the effectiveness of tailored cycle training for children with SEND, however, it is unclear whether this then results in a greater uptake of cycling.
Aims: To determine parent based perceptions of a SEND cycle training programme, factors which predict intention to cycle more and ongoing barriers to cycling.
Methods: A tailored questionnaire was distributed to parents of children who took part in the cycle training.
Results: Parents reported increased confidence in their child's ability to cycle independently with many also highlighting improvements in confidence and resilience. The outcome of the cycle training (level of enjoyment and change in cycling ability) had a positive influence on intention to cycle more while cycling frequency prior to training had a negative influence. Continuing barriers to cycling were identified which included difficulties accessing specialised equipment and a need for additional on-road cycle training.
Conclusions And Implications: This study demonstrates the success of a specialised cycle training programme for children with SEND in terms of improvement to cycling and influences on the intention to cycle more.
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http://dx.doi.org/10.1016/j.heliyon.2023.e16173 | DOI Listing |
JMIR Med Educ
January 2025
Centre for Digital Transformation of Health, University of Melbourne, Carlton, Australia.
Background: Learning health systems (LHS) have the potential to use health data in real time through rapid and continuous cycles of data interrogation, implementing insights to practice, feedback, and practice change. However, there is a lack of an appropriately skilled interprofessional informatics workforce that can leverage knowledge to design innovative solutions. Therefore, there is a need to develop tailored professional development training in digital health, to foster skilled interprofessional learning communities in the health care workforce in Australia.
View Article and Find Full Text PDFiScience
January 2025
Key Laboratory for Environmental Factors Control of Agro-product Quality Safety (Ministry of Agriculture and Rural Affairs), Tianjin Key Laboratory of Agro-environment and Safe-product, Institute of Agro-environmental Protection, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China.
Nitrogen-fixing microorganisms (NFMs) are important components of soil N sinks and are influenced by multiple environmental factors. We established a random forest model optimized by the distributed delayed particle swarm optimization (RODDPSO) algorithm to analyze the global NFM data. Soil pH, organic carbon (OC), mean annual precipitation (MAP), altitude, and total phosphorus (TP) are factors with contributions greater than 10% to NFMs.
View Article and Find Full Text PDFJ Educ Health Promot
December 2024
Medical Library and Information Science Department, Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Due to the increasing occurrence of natural disasters, it is essential to prioritize the improvement of health literacy during emergencies, particularly for individuals with chronic illnesses like diabetes who are especially vulnerable in the medical sector. The primary objective of this study was to identify the key themes within an emerging framework for disaster health literacy specifically tailored for diabetics. A scoping review design was selected based on the Arksey and O'Malley framework.
View Article and Find Full Text PDFRSC Adv
January 2025
Department of Food Science and Biotechnology, Gachon University 1342 Seongnamdaero Sujeong-gu Seongnam-si 13120 Republic of Korea
This study focuses on the synthesis, characterization, and evaluation of the photocatalytic efficiency of bismuth-based metal-organic frameworks (Bi-MOFs) and their derivatives, specifically Ag/Bi-MOF and NH /Ag/Bi-MOF, in the degradation of tetracycline (TC) and sulfamethoxazole (SMX) under visible light irradiation. Bi-MOFs are promising photocatalysts due to their large surface area, tunable porosity, and unique electronic properties that are favorable for visible light absorption. In this study, Bi-MOFs were synthesized using a solvothermal method, with the incorporation of silver (Ag) and ammonium (NH ) ions to enhance their photocatalytic performance.
View Article and Find Full Text PDFGates Open Res
January 2025
University of Virginia, Charlottesville, Virginia, USA.
Background: The TaqMan Array Card (TAC) is an arrayed, high-throughput qPCR platform that can simultaneously detect multiple targets in a single reaction. However, the manual post-run analysis of TAC data is time consuming and subject to interpretation. We sought to automate the post-run analysis of TAC data using machine learning models.
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