Publications by authors named "Miquel Pans"

The COVID-19 pandemic has remarkably impacted urban mobility. All non-essential movements were restricted in Valencia (Spain) to contain the virus. Thus, the transport usage patterns of Valencia's bike-sharing system (BSS) users changed during this emergency situation.

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It is currently difficult to have a global state of the art vision of certain scientific topics. In the field of physical activity (PA) and exercise, this is due to information overload. The present study aims to provide a solution by analysing a large mass of scientific articles using text mining (TM).

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University settings are socio-environmental contexts that can reduce health disparities in students with disabilities. Therefore, the aim of this study was twofold: (a) to examine the longitudinal physical activity (PA) changes of Spanish university students with disabilities during a three-year period; and (b) to identify the accomplishment of the World Health Organization's PA recommendations in this period. A three-year follow-up cohort study was conducted on 355 university students with disabilities (172 men, 183 women).

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The spread of the SARS-CoV-2 virus has transformed many aspects of people's daily life, including sports. Social networks have been flooded on these issues. The present study aims to analyze the tweets produced relating to sports and COVID-19.

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This paper qualitatively examines environmental factors operating as barriers and/or facilitators to participation in physical activity (PA) of people with physical disabilities. Interview data were collected from 27 Spanish university students through the innovative method of two-on-one interviews. Thereafter, data were subject to a flexible thematic analysis.

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Background: Screen time can play a significant role in the health and quality of life of people with disabilities. However, there is a lack of studies on this issue among people with disabilities, and even fewer in the university setting. Thus, the aim of our study was to explore the relationships between screen time, disability grade, body mass index (BMI), physical activity and sociodemographic variables (gender and socioeconomic status) in university students with different disabilities.

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