Larissa Quintão Guilherme, Julia Pagotto Matos, Ana Claudia Pelissari Kravchychyn, Marco Tulio De Mello, Paulo Roberto Dos Santos Amorim, Helton de Sá Souza
{"title":"一个盲路超级马拉松运动员的睡眠-觉醒周期模式和他的指南:世界上第一个案例。","authors":"Larissa Quintão Guilherme, Julia Pagotto Matos, Ana Claudia Pelissari Kravchychyn, Marco Tulio De Mello, Paulo Roberto Dos Santos Amorim, Helton de Sá Souza","doi":"10.3390/clockssleep7020020","DOIUrl":null,"url":null,"abstract":"<p><p>Trail running has seen a surge in participants, including individuals with disabilities, particularly in ultratrail running (UTRs). Sleep-wake patterns are crucial for optimal performances in UTRs, which present unique physiological and behavioral challenges. This case study evaluated the sleep-wake cycle of a blind trail ultramarathoner (BTR) and his guide (GTR) before, during, and after an 80 km UTR. Two male participants (BTR: 54 years, BMI: 26.1 kg/m<sup>2</sup>; GTR: 48 years, BMI: 24.2 kg/m<sup>2</sup>) were assessed using validated questionnaires (MEQ, ESS, ISI, and PSQI) and actigraphy over 35 days. The BTR exhibited a morning chronotype (MEQ = 63), mild insomnia (ISI = 11), poor sleep quality (PSQI = 5), and prolonged sleep latency (>60 min), while the GTR showed an indifferent chronotype (MEQ = 52), good sleep quality (PSQI = 3), and shorter latency (10 min). Post-competition, both athletes experienced an increased total sleep time (TST): the BTR by 17.8% (05:32:00 vs. 04:25:00) and the GTR by 5.5% (07:01:00 vs. 06:39:00). The BTR demonstrated a greater Wakefulness after sleep onset (WASO 01:00:00 vs. 00:49:00) and awakenings (15.4 vs. 6.1). A time series analysis revealed greater variability in the BTR's post-competition sleep efficiency and TST, while the GTR exhibited a greater stability of the circadian phase. These findings highlight the intricate sleep challenges faced by blind athletes, informing strategies to optimize recovery and performance.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"7 2","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12015783/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Sleep-Wake Cycle Pattern of a Blind Trail Ultramarathon Runner and His Guide: The World's First Case.\",\"authors\":\"Larissa Quintão Guilherme, Julia Pagotto Matos, Ana Claudia Pelissari Kravchychyn, Marco Tulio De Mello, Paulo Roberto Dos Santos Amorim, Helton de Sá Souza\",\"doi\":\"10.3390/clockssleep7020020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Trail running has seen a surge in participants, including individuals with disabilities, particularly in ultratrail running (UTRs). Sleep-wake patterns are crucial for optimal performances in UTRs, which present unique physiological and behavioral challenges. This case study evaluated the sleep-wake cycle of a blind trail ultramarathoner (BTR) and his guide (GTR) before, during, and after an 80 km UTR. Two male participants (BTR: 54 years, BMI: 26.1 kg/m<sup>2</sup>; GTR: 48 years, BMI: 24.2 kg/m<sup>2</sup>) were assessed using validated questionnaires (MEQ, ESS, ISI, and PSQI) and actigraphy over 35 days. The BTR exhibited a morning chronotype (MEQ = 63), mild insomnia (ISI = 11), poor sleep quality (PSQI = 5), and prolonged sleep latency (>60 min), while the GTR showed an indifferent chronotype (MEQ = 52), good sleep quality (PSQI = 3), and shorter latency (10 min). Post-competition, both athletes experienced an increased total sleep time (TST): the BTR by 17.8% (05:32:00 vs. 04:25:00) and the GTR by 5.5% (07:01:00 vs. 06:39:00). The BTR demonstrated a greater Wakefulness after sleep onset (WASO 01:00:00 vs. 00:49:00) and awakenings (15.4 vs. 6.1). A time series analysis revealed greater variability in the BTR's post-competition sleep efficiency and TST, while the GTR exhibited a greater stability of the circadian phase. 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引用次数: 0
摘要
越野跑的参与者激增,其中包括残疾人,特别是超轨道跑(UTRs)。睡眠-觉醒模式对于utr的最佳表现至关重要,utr提出了独特的生理和行为挑战。本案例研究评估了盲道超级马拉松运动员(BTR)和他的向导(GTR)在80公里UTR之前、期间和之后的睡眠-觉醒周期。2名男性参与者(BTR: 54岁,BMI: 26.1 kg/m2;GTR: 48岁,BMI: 24.2 kg/m2)采用有效问卷(MEQ、ESS、ISI和PSQI)和35天的活动记录仪进行评估。BTR表现为早晨睡眠类型(MEQ = 63),轻度失眠(ISI = 11),睡眠质量差(PSQI = 5),睡眠潜伏期延长(bbb60 min),而GTR表现为无差异睡眠类型(MEQ = 52),睡眠质量好(PSQI = 3),潜伏期较短(10 min)。比赛结束后,两名运动员都经历了总睡眠时间(TST)的增加:BTR增加了17.8% (05:32:00 vs. 04:25:00), GTR增加了5.5% (07:01:00 vs. 06:39:00)。BTR在睡眠开始(WASO 01:00:00 vs. 00:49:00)和醒来(15.4 vs. 6.1)后表现出更大的清醒程度。时间序列分析显示,BTR的比赛后睡眠效率和TST变化较大,而GTR的昼夜节律阶段表现出更大的稳定性。这些发现突出了盲人运动员所面临的复杂的睡眠挑战,为优化恢复和表现提供了策略。
The Sleep-Wake Cycle Pattern of a Blind Trail Ultramarathon Runner and His Guide: The World's First Case.
Trail running has seen a surge in participants, including individuals with disabilities, particularly in ultratrail running (UTRs). Sleep-wake patterns are crucial for optimal performances in UTRs, which present unique physiological and behavioral challenges. This case study evaluated the sleep-wake cycle of a blind trail ultramarathoner (BTR) and his guide (GTR) before, during, and after an 80 km UTR. Two male participants (BTR: 54 years, BMI: 26.1 kg/m2; GTR: 48 years, BMI: 24.2 kg/m2) were assessed using validated questionnaires (MEQ, ESS, ISI, and PSQI) and actigraphy over 35 days. The BTR exhibited a morning chronotype (MEQ = 63), mild insomnia (ISI = 11), poor sleep quality (PSQI = 5), and prolonged sleep latency (>60 min), while the GTR showed an indifferent chronotype (MEQ = 52), good sleep quality (PSQI = 3), and shorter latency (10 min). Post-competition, both athletes experienced an increased total sleep time (TST): the BTR by 17.8% (05:32:00 vs. 04:25:00) and the GTR by 5.5% (07:01:00 vs. 06:39:00). The BTR demonstrated a greater Wakefulness after sleep onset (WASO 01:00:00 vs. 00:49:00) and awakenings (15.4 vs. 6.1). A time series analysis revealed greater variability in the BTR's post-competition sleep efficiency and TST, while the GTR exhibited a greater stability of the circadian phase. These findings highlight the intricate sleep challenges faced by blind athletes, informing strategies to optimize recovery and performance.