Background: Recent research on mild cognitive impairment (MCI) has primarily focused on searching for measures to prevent or delay the progression of MCI to dementia. Physical exercise has shown to be effective in the prevention of age-related cognitive decline in elderly adults with MCI. However, the most effective type and dose of exercise for the improvement of cognition are yet to be determined. Objective: To compare the cognitive effects of choreographed exercise (Choreography group) with a multimodal physical therapy program (Physical Therapy group) in elderly adults with amnestic MCI, a population with an increased risk of developing dementia. Methods: We conducted a randomized clinical trial with two parallel groups under allocation concealment and assessor blinding. Participants were allocated into Choreography or Physical Therapy group and performed exercises twice per week in 60-minute sessions during 12 weeks.

The use of mobile fitness apps has been on the rise for the last decade and especially during the worldwide SARS-CoV-2 pandemic, which led to the closure of gyms and to reduced outdoor mobility. Fitness apps constitute a promising means for promoting more active lifestyles, although their attrition rates are remarkable and adherence to their training plans remains a challenge for developers. The aim of this project was to design an automatic classification of users into adherent and non-adherent, based on their training behavior in the first three months of app usage, for which purpose we proposed an ensemble of regression models to predict their behaviour (adherence) in the fourth month. The study was conducted using data from a total of 246 Mammoth Hunters Fitness app users. Firstly, pre-processing and clustering steps were taken in order to prepare the data and to categorize users into similar groups, taking into account the first 90 days of workout sessions. Then, an ensemble approach for regression models was used to predict user training behaviour during the fourth month, which were trained with users belonging to the same cluster. This was used to reach a conclusion regarding their adherence status, via an approach that combined affinity propagation (AP) clustering algorithm, followed by the long short-term memory (LSTM), rendering the best results (87% accuracy and 85% F1_score). This study illustrates the suggested the capacity of the system to anticipate future adherence or non-adherence, potentially opening the door to fitness app creators to pursue advanced measures aimed at reducing app attrition.

Background In other healthcare professions, there has been extensive research into students’ motivation, but studies aiming to determine what leads individuals to choose a degree in physiotherapy are scarce. This research study had three main objectives: to obtain a sociodemographic profile of first-year physiotherapy students in Catalonia; to determine the factors that lead individuals to choose a degree in physiotherapy; and to determine potential differences, according to gender and country of origin. Methods This is an observational, cross-sectional, multicentre study. Data were collected by means of a self-administered, ad-hoc questionnaire, consisting of 15 Likert scale questions, options ranging from “not influencing at all -1-” to “extremely influencing -5-”. Ten out of the twelve universities in Catalonia (Spain) that offer a degree in physiotherapy participated in this study. The sample consisted of 941 first-year physiotherapy students (55.2% men; mean age 20.1, SD: 3.4). Results The most determinant factors leading individuals to pursue a degree in physiotherapy were: helping others (95.6%); the relationship between physiotherapy and sports (79%); physiotherapy involving manual work (76.4%); and it being perceived as providing multiple job opportunities (75.9%). Male and French students were attracted due to its relation to sports (MD = 0.369, p < 0.001 and MD = 0.130, p < 0.027), perception of it being an easy degree (MD = 0.148, p < 0.001 and MD = 0.091, p < 0.037), admiration for a known physiotherapist (MD = 0.223, p = 0.006 and MD = 0.265, p = 0.001), employability (MD = 0.297, p < 0.001 and MD = 0.706, p < 0.001), good income (MD = 0.190, p = 0.002 and MD = 0.609, p < 0.001) and social recognition (MD = 0.164, p = 0.011 and MD = 0.286, p < 0.001). Helping others (MD = −0.149, p < 0.001) and interest in the sciences (MD = −0.164, p = 0.030) were more determinant for female students. Male students were more guided by recommendation (MD = 0.234, p = 0.001) and to complement previous studies (MD = 0.237, p = 0.016). French students tended to present more interest in the selection of physiotherapy as a wish since childhood (MD = 0.595, p < 0.001), due to its multiple job opportunities (MD = 0.427, p < 0.001) and because of manual work, and did not choose it to complement previous studies (MD = −1.122, p < 0.001). Conclusions The desire to help and care for others, the relation to sports, and involving manual work are the predominant factors that lead students to pursue a degree in physiotherapy. Female students favour helping others and science, whereas male students favour its relation to sports, complementing studies, social factors (admiration, recommendation, friendship) and socioeconomic determinants such as employability, good income or social recognition. When compared to Spanish students, French students were more motivated by its connection to sports, social and socioeconomic factors and some vocational determinants such as being a wish since childhood and interest in a manual profession.