Articles
Questionnaires Measuring 24-Hour Movement Behaviors in Childhood and Adolescence: Content Description and Measurement Properties-A Systematic Review
Rodrigues, B., Encantado, J., Carraça, E., Martins, J., Marques, A., Lopes, L., Sousa-Sá, E., Cliff, D., Mendes, R., & Santos, R. (2023). Questionnaires Measuring 24-Hour Movement Behaviors in Childhood and Adolescence: Content Description and Measurement Properties-A Systematic Review. JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 20(1), 50-76. doi: https://doi.org/10.1123/jpah.2022-0399.
Implementation determinants of physical activity interventions in primary health care settings using the TICD framework: a systematic review
Silva, C. S., Godinho, C., Encantado, J., Rodrigues, B., Carraça, E. V., Teixeira, P., & Silva, M. N. (2023). Implementation determinants of physical activity interventions in primary health care settings using the TICD framework: a systematic review. BMC HEALTH SERVICES RESEARCH, 23, Article 1082. doi: https://doi.org/10.1186/s12913-023-09881-y.
The association between physical activity and mental health during the first year of the COVID-19 pandemic: a systematic review
36) Marconcin, P., Werneck, A. O., Peralta, M., Ihle, A., Gouveia, E. R., Ferrari, G., Sarmento, H., & Marques, A. (2022). The association between physical activity and mental health during the first year of the COVID-19 pandemic: a systematic review. BMC Public Health, doi: https://doi.org/10.1186/s12889-022-12590-6.
Diagnostic accuracy of keystroke dynamics as digital biomarkers for fine motor decline in neuropsychiatric disorders: a systematic review and meta-analysis
Alfalahi, H., Khandoker, A. H., Chowdhury, N., Iakovakis, D., Dias, S. B., Chaudhuri, K., & Hadjileontiadis, L. J. (2022). Diagnostic accuracy of keystroke dynamics as digital biomarkers for fine motor decline in neuropsychiatric disorders: a systematic review and meta-analysis. Scientific reports, 12(1), 1-24. doi: 10.1038/s41598-022-11865-7.
DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era
Dias, S. B., Hadjileontiadou, S. J., Diniz, J., and Hadjileontiadis, L. J. (2020). DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era. Scientific reports, 10(1), 1-17. doi: 10.1038/s41598-020-76740-9.
The effect of a programme to improve men’s sedentary time and physical activity: The European Fans in Training (EuroFIT) randomised controlled trial
Wyke, S., Bunn, C., Andersen, E., Silva, M. N., van Nassau, F., McSkimming, P., Kolovos, S., Gill, J. M. R., Gray, C. M., Hunt, K., Anderson, A. S., Bosmans, J., Jelsma, J. G. M., Kean, S., Lemyre, N., Loudon, D. W., Macaulay, L., Maxwell, D. J., McConnachie, A., Mutrie, N., Nijhuis-Van der Sanden, M., Pereira, H. V., Philpott, M., Roberts, G. C., Rooksby, J., Røynesdal, Ø. B., Sattar, N., Sørensen, M., Teixeira, P. J., Treweek, S., van Achterberg, T., van de Glind, I., van Mechelen, W., & van der Ploeg, H. P. (2019). The effect of a programme to improve men’s sedentary time and physical activity: The European Fans in Training (EuroFIT) randomised controlled trial. PLoS Medicine, 16(2), e1002736. doi: 10.1371/journal.pmed.1002736.
