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Effects of resistance training on sleep architecture in adolescents: study protocol for a randomized clinical trial


Resistance training (RT) has been regarded as a non-pharmacological strategy with the potential to improve subjective sleep quality in adolescents. However, there is a lack of studies investigating the effects of RT on objective parameters such as sleep architecture.


To describe the study protocol of a randomized controlled trial (RCT) designed to analyze the effects of RT on sleep architecture in adolescents.


This parallel RCT will include adolescents (13-19 years of age) with self-reported sleep complaints, who will be allocated randomly into two groups: RT or health sleep group (control). Sex-differences in sleep quality have been observed; therefore, adolescents will be block randomized according to their sex and subjective sleep quality. Individuals in RT will undertake 12-weeks of progressive RT (8 exercises structured in 3 sets, 8-10 repetitions, 3 times per week). The control group will not perform physical exercise during the study (adolescents will attend one-hour meetings (once a week) to speeches, videos, talk wheels about health, sleep hygiene, nutrition that will be adapted according to the participants). The primary outcome will be the slow-wave sleep measured by polysomnography. Secondary outcomes will include the other sleep architecture parameters (total sleep time, sleep onset latency, wake after sleep onset; sleep efficiency; NREM sleep latency; N1 Stage; N2 stage; N3 stage; Slow-wave activity; REM sleep; REM latency), subjective sleep quality and daytime sleepiness, muscle strength, and body composition. Before and after the intervention, physical activity level will also be assessed to guarantee the isolated effects of RT on sleep parameters.


.Without results


The study results will provide information on the efficacy of RT on sleep parameters in adolescents, as well as provide insights about the mechanisms underlying such beneficial effects.


Exercise; Youth; Slow-wave sleep; Polysomnography




Universidade de Pernambuco - Pernambuco - Brasil


Maria Julia Lyra, Antonio Henrique Germano-Soares, Ozeas de Lima Lins-Filho, Rodrigo Pinto Pedrosa, Marcos André Moura Santos