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Effects of Caffeine Intake on Self-Administered Sleeping Quality and Wearable Monitoring of Sleep in a Cohort of Young Healthy Adults.

若年健常成人コホートにおけるカフェイン摂取が自己申告による睡眠質とウェアラブル端末による睡眠モニタリングに及ぼす影響 (機械翻訳の邦題)

Nutrients2025Schlichtiger J, Brunner S, Strüven A, et al.
研究デザイン観察研究
対象ヒト

記録の確認項目

研究デザイン
観察研究
対象
ヒト
出版年
2025
出典
doi.org
抄録の表示
表示あり
出版状態
有効な記録
状態確認日
2026/08/17
収集日
2026/08/03
鮮度
確認期限内
確認段階
自動処理
記録状態
公開

日本語要約(機械生成)

本研究は、コーヒーおよびエナジードリンク由来のカフェイン摂取が睡眠に与える影響を、ウェアラブル端末と質問票を用いて検討した観察コホート研究である。対象はミュンヘン大学病院で2024年7月から2025年1月に実施され、コーヒー群とエナジードリンク群の2群を設定し、各群で水摂取を対照とした基準期間とカフェイン240mg/日を就寝3時間前に摂取する介入期間を比較した。主要評価項目は睡眠時間で、有意差は認められなかった(基準6.7時間、コーヒー6.9時間、エナジードリンク6.7時間、p=0.183)。また、レム睡眠や深い睡眠の時間、覚醒時間、入眠時間、心拍数などの客観的指標にも有意な変化はなかった。一方、自己評価による睡眠質は、コーヒー摂取で悪化が8%増加(29.7%)、エナジードリンクで20%増加(46.6%)し、カフェインが主観的な睡眠知覚に悪影響を及ぼすことが示唆された。ウェアラブル端末による低侵襲な睡眠記録の有用性が示された。

この要約は公開抄録のみを根拠にAIが機械的に生成したものです。正確な内容は原文を確認してください。

抄録

Background/Objective: Chronic sleep deprivation can lead to adverse health effects and therefore represents a public health burden While caffeine is a widely used stimulant, the relationship between caffeine consumption and sleep remains uncertain. Moreover, many studies might be subject to methodological bias, as invasive sleep measurements may themselves serve as confounders. The aim of the SleepSmart study was to assess the impact of caffeine consumption through coffee and energy drinks, utilizing both smartwatch data and questionnaire responses. Methods: The SleepSmart study is an observational cohort study conducted at LMU Hospital Munich, Germany, from July 2024 to January 2025. The study investigated two intervention groups: (1) coffee and (2) energy drink consumption. Each intervention lasted 1 week, with days 1 to 3 serving as a reference period (water consumption to adjust for increased fluid intake) and days 4 to 6 serving as the intervention period (consumption of an equivalent of 240 mg of caffeine per day, 3 h before bedtime). Data was collected through self-administered questionnaires and wearable devices. The primary endpoint was sleep duration. Objective measures of sleep (duration of light/deep sleep, duration of wake phases, heart rate) and self-assed quality of sleep (Pittsburgh Sleep Quality Index) served as secondary endpoints. Results: For the primary endpoint, we did not find a significant difference in average sleep duration (baseline [hours] 6.7, coffee 6.9, energy drink 6.7, p-value 0.183). Similarly, secondary endpoints related to sleep measures showed no significant changes in the duration of light/deep sleep (coffee [min]: 242.2, reference coffee [refC] 255.7 I energy drink: 237.5, reference energy drink [refE] 261.3), time awake (coffee 22.7, refC 23.4 I energy drink 21.3, refE 18.9), time to fall asleep/wake up (coffee 4.2, refC 4.0 I energy drink 4.4, refE 2.7), or average heart rate (coffee [bpm] 62.2, refC 62.1 I energy drink 62.6, refE 62.3)-neither between the two intervention groups nor compared to the reference period. However, self-assessed sleep quality revealed a decrease in perceived sleep quality, with reports of poor sleep increasing by 8% after coffee consumption (rather bad/very bad sleeping quality: 29.7%) and 20% after energy drink consumption (46.6%), compared to baseline data (21.6%). Conclusions: The SleepSmart study introduces wearable sleep tracking as an innovative, low-interference method for objectively recording sleep data. While wearable data did not indicate significant sleep deterioration in the group of young, healthy adults, caffeine appeared to negatively impact the subjective perception of sleep in the study cohort.

MeSH

AdultCaffeineCoffeeCohort StudiesEnergy DrinksFemaleGermanyHumansMaleSleepSleep QualitySurveys and QuestionnairesWearable Electronic DevicesYoung Adult

DOI 10.3390/nu17091503

PMID 40362813

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