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- Virtual reality gaming in rehabilitation after musculoskeletal injur: user experience pilot studyPublication . Gouveia, Élvio Rúbio; Campos, Pedro; França, Cristiano S.; Rodrigues, Louis M.; Martins, Francisco; França, Cíntia; Gonçalves, Frederica; Teixeira, Fernando; Ihle, Andreas; Gouveia, Bruna R.The purposes of this study were twofold: (1) to describe a new technological solution for the rehabilitation of musculoskeletal injuries based on virtual reality (VR) gaming, and (2) to analyze the variation in rated perceived exertion (RPE) and heart rate (HR) of the participants when undergoing a rehabilitation session based on different VR games. Thirty-seven participants aged 23.7 ± 7.0 years tested during five customized VR games to provide a complete rehabilitation session after a musculoskeletal injury. The results of the Friedman test indicated a statistically significant difference in RPE scale and HR across the five VR games throughout a complete rehabilitation session (χ2 (4, n = 35) = 75.59; p < 0.001 and χ2 (4, n = 35) = 27.75, p < 0.001, respectively). RPE and HR increased significantly from Game 1 to Game 2 (z = –5.16, p < 0.001), from Game 1 to Game 3 (z = – 5.05, p < 0.001), from Game 1 to Game 4 (z = –4.87, p < 0.001), and from Game 1 to Game 5 (z = –3.61, p < 0.001). Moreover, the results showed a high perceived usability of the system, greater intrinsic motivation to perform the rehabilitation exercises, a high level of immersion, and a good experience in the VR gaming environment. Our study stimulates extended intervention programs following up on this immersive virtual reality rehabilitation system to support soccer players recovering from musculoskeletal injuries.
- Differential Patterns in Motivations for Practicing Sport and Their Effects on Physical Activity Engagement across the LifespanPublication . Nascimento, Marcelo de Maio; Gouveia, Élvio Rúbio; Gouveia, Bruna R.; Marques, Adilson; França, Cíntia; Campos, Pedro Filipe Pereira; Martins, Francisco; García-Mayor, Jesús; Ihle, AndreasThis study aims to report what motivates individuals to be physically active, to determine whether motivating factors influence physical activity (PA) levels, and whether this differs across the lifespan. This is a cross-sectional study with 498 individuals: 117 adolescents, 306 adults, and 75 older adults. PA was assessed using Baecke’s questionnaire, and motivating factors for practicing sports were investigated using a scale with twelve questions. The factor analysis identified three motivating factors for sports practice: psychosocial, bodily, and well-being. The scale’s overall reliability and internal consistency indicated a Cronbach’s alpha of 0.885. The analysis of covariance (ANCOVA) adjusted for sex indicated the three factors as having a significant effect on PA (p < 0.050); however, only the well-being factor showed a significant interaction with age groups (p = 0.023, ηp 2 = 0.030). Subsequently, the effect of the well-being factor on PA scores in each age group was explored through regression analyses. Only older adults showed a significant association in the unadjusted [OR = 0.378, p = 0.001, R2 = 0.243] and the sex-adjusted analysis [OR = 0.377, p = 0.001, R2 = 0.288]. These results help us to better understand the underlying motivational reasons in different age groups for engaging in sports.
- Digital health in schools: a systematic reviewPublication . França, Cíntia; Santos, Francisco; Martins, Francisco; Lopes, Helder; Gouveia, Bruna; Gonçalves, Frederica; Campos, Pedro; Marques, Adilson; Ihle, Andreas; Gonçalves, Tatiana; Gouveia, Élvio RúbioWorldwide, the growing digitalization process and increase in smartphone usage have contributed to promoting mobile health (mHealth) services. This study provides an overview of the research targeting the effectiveness of mHealth interventions among children and adolescents in the school environment. A systematic literature review was performed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) in the PubMed, Web of Science, and Scopus databases. The results show that physical activity and nutrition are the main intervention topics. Health literacy, mental health, productive health, vaccination rates, and social interaction were also considered in mHealth interventions. Of the 13 studies that remained for analysis, 12 described positive outcomes in at least one health variable after using an mHealth tool. Overall, interventions ranged between four and 24 weeks. Only seven studies managed to have at least 80% of the participants from the baseline until completion. Adding personal information, user interaction, and self-reference comparisons of performance seems crucial for designing successful health digital tools for school-aged children and adolescents.