Consistency index of daily activity pattern and its correlations with subjective ratings of QOL

Consistency index of daily activity pattern and its correlations with subjective ratings of QOL
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日常活动模式一致性指数及其与生活质量主观评分的相关性

DOI:
10.1007/s41105-020-00271-z
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发表时间:
2020
影响因子:
1.1
通讯作者:
M. Nakao
M. Nakao
中科院分区:
医学4区
文献类型:
--
作者:
R. Amano;A. Karashima;I. Motoike;N. Katayama;K. Kinoshita;M. Nakao

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由于睡眠受到昼夜节律和动态平衡的调节,调节机制的状态可以从日常活动模式中得知,包括睡眠和清醒状态。因此,他们的定量表征与相关的主观生活质量之间的关系有望为维持/改善生活质量提供实践知识。采用活动一致性指数(ACI),以匹兹堡睡眠质量指数(PSQI)和凯斯勒心理困难量表(K6)为基础,分析了活动一致性指数(ACI)与主观生活质量评分(QOL)之间的相关性。使用参数集来量化经参数转换的活动图数据的一致性,该参数集被调整以优化一致性测量和生活质量之间的总体相关性。根据ACI和先前提出的睡眠规律性指数(SRI:睡眠规律性指数)与参与者主观生活质量评分的相关性进行比较。ACI和SRI在日常活动的各种数量特征方面的比较表明,ACI调整到PSQI只与平均入睡时间和平均睡眠时间相关,而SRI与大多数睡眠数量特征相关。此外,相关资料显示出性别依赖。对于20岁的男性和女性,S的分析表明,PSQI和ACI之间存在显著的相关性,但PSQI和SRI之间没有显著的相关性。ACI被证明是与主观睡眠质量相关的日常活动模式的良好指标。这一能力表明,ACI可能是预测主观睡眠质量的基础。通过使用ACI评估日常活动模式,个人可能能够选择适当的生活方式来维持/改善生活质量。
Since sleep is under circadian and homeostatic regulation, the status of regulatory mechanisms can be known from daily activity patterns, including both sleep and wake states. Therefore, the relationship between their quantitative characterization and associated subjective QOL can be expected to provide practical knowledge for maintaining/improving QOL. An index quantifying the consistency of daily activity patterns over days, the activity consistency index (ACI), was developed, and its correlations with subjective QOL ratings based on the Pittsburgh sleep quality index (PSQI) and the Kessler Psychological Distress Scale (K6) were analyzed using actigraphy data obtained from university students and IT workers. The consistency of the parametrically transformed actigraphy data was quantified using a parameter set tuned to optimize an ensemble correlation between the consistency measure and QOL. Comparisons of ACI with a previously proposed index (SRI: sleep regularity index) were made according to their correlations with the participants’ subjective ratings of QOL. The comparison of ACI and SRI with respect to the various quantitative features of daily activity revealed that ACI tuned to PSQI was correlated only with mean sleep-onset time and mean sleep duration, while SRI was correlated with most of the quantitative features of sleep. In addition, the correlation profile showed gender dependency. For male and female subjects in their 20 s, the analysis indicated a significant correlation between PSQI and ACI, but not between PSQI and SRI. ACI was shown to work well as an index of daily activity patterns relevant to subjective sleep quality. This ability suggests that ACI could be a basis for predicting subjective sleep quality. Through evaluating daily activity patterns using ACI, an individual may be able to select an appropriate lifestyle for maintaining/improving QOL.
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