Effect of Acute Exercise on Sleep Patterns in Patients With PLMS Using a Wearable Device Compared With a Control Group
The effects of chronic exercise on health promotion, improvement of quality of life, and reduction of the risk of developing chronic diseases such as obesity, diabetes mellitus, cardiovascular diseases, depression, and cancer are well established. In addition, the positive influence of exercise on sleep patterns and sleep quality is widely recognized. However, few studies have addressed the effects of a single session of physical exercise on the circadian cycle and sleep disorders. Regarding Periodic Limb Movement Disorder (PLMD), which is characterized by periodic episodes of repetitive and highly stereotyped limb movements, the scientific literature indicates that the effects of a single session of intense exercise remain insufficiently explored. Therefore, the present study aims to investigate, through a controlled interventional study, the effects of acute exercise on the Periodic Limb Movements of Sleep (PLMS) index. To this end, the study will recruit healthy participants as well as individuals with PLMS to perform acute exercise sessions, followed by a polysomnographic examination and a longitudinal observation period. Throughout the study, participants will use wearable and mobile devices to monitor their physiological patterns. In addition, questionnaires related to sleep, physical exercise, cognitive decline, and depression will be administered to better characterize the study population. Thus, this study aims to generate evidence regarding the influence of acute exercise on sleep patterns in participants with PLMS, as well as to obtain data to support the development of algorithms related to sleep quality, including PLMS detection, which may be embedded in wearable or mobile devices in the future.
• Aged 22 years or older;
• Self-reported habitual sleep of at least 5 consecutive hours per night. Specific Inclusion Criteria for the PLMS Group
• Having a prior polysomnography (PSG) showing a PLMS index ≥ 15/h;
• Screening PSG for participants without a PSG in the last 6 months showing a PLMS index ≥ 15/h.
⁃ Note: Efforts will be made to ensure that approximately 50% of the sample consists of participants with a PLMS index \> 50/h. -