Commentaries on Viewpoint: Hoping for the best, prepared for the worst: can we perform remote data collection in sport sciences?
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Tipo de produção
article
Data de publicação
2022
Título da Revista
ISSN da Revista
Título do Volume
Editora
AMERICAN PHYSIOLOGICAL SOCIETY
Autores
CARNEIRO, M. A. S.
NUNES, P. R. P.
COSTA, B.
CASTRO-E-SOUZA, P.
LIMA, L. A.
LISBOA, F.
KASSIANO, W.
CYRINO, E. S.
ORSATTI, F. L.
Citação
JOURNAL OF APPLIED PHYSIOLOGY, v.133, n.6, p.1433, 2022
Resumo
to the editor: Remote data collection (1) is of growing interest, especially in sport nutrition, whereby a specific diet and/or supplement is prescribed in conjunction with exercise training. Verifying adherence to prescribed interventions and estimation of dietary intake is paramount. Food diaries, dietary recall, and remote food photography methods (2) are already commonplace for monitoring dietary intake with the integration of training data (i.e., power output, heart rate) collected from online platforms (e.g., TrainingPeaks, Strava) connected to participants’ own sports equipment (3) permitting the estimation of daily energy expenditure remotely (4). Researchers may therefore bridge the gap between laboratory and techniques classically used in field situations without the need for expensive laboratory equipment. It may also facilitate greater participation and compliance. For example, in a study by Bennett et al. (3), 495 training sessions and 165 testing sessions were performed remotely by 55 participants within a 2-mo period of national lockdown due to the COVID-19 pandemic. However, it is important to ensure that standardization and quality control are maintained across all participants, by providing clear instructions and frequent contact points. Familiarization sessions should be scheduled and used to verify the reliability of procedures. It is also recommended that all training and dietary intake data be visually inspected (i.e., review raw data) to ensure that protocols are followed correctly. Finally, when additional metabolic or body composition measurement is required, we suggest combining online training and nutritional prescription with laboratory-based testing (5). At a time where we all need to reduce our carbon footprint, remote data collection appears more relevant than ever. © IMechE 2018.
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Referências
- Souza HLR, Bernardes BP, dos Prazeres EO, Arriel RA, Meireles A, Camilo GB, Mota GR, Marocolo M., Hoping for the best, prepared for the worst - can we perform remote data collection in sport sciences?, J Appl Physiol, (1985)
- Stables RG, Kasper AM, Sparks SA, Morton JP, Close GL., An assessment of the validity of the remote food photography method (termed Snap-N-Send) in experienced and inexperienced sport nutritionists, Int J Sport Nutr Exerc Metab, 31, pp. 125-134, (2021)
- Bennett S, Tiollier E, Brocherie F, Owens D, Morton J, Louis J., Three weeks of a home-based “sleep low-train low” intervention improves functional threshold power in trained cyclists: a feasibility study, PLoS One, 16, (2021)
- Taylor HL, Garabello G, Pugh J, Morton JP, Langan-Evans C, Louis J, Borgersen R, Areta JL., Patterns of energy availability of free-living athletes display day-to-day variability that is not reflected in laboratory-based protocols: insights from elite male road cyclists, J Sport Sci, 40, pp. 1849-1856, (2022)
- Marquet LA, Brisswalter J, Louis J, Tiollier E, Burke LM, Hawley JA, Hausswirth C., Enhanced endurance performance by periodization of carbohydrate intake: ''sleep low'' strategy, Med Sci Sports Exerc, 48, pp. 663-672, (2016)