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
复制标题
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
中科院分区:
文献类型:
--
作者:
R. Amano;A. Karashima;I. Motoike;N. Katayama;K. Kinoshita;M. Nakao
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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影响因子:
2.4
作者:
Krystal, Andrew D.
通讯作者:
Krystal, Andrew D.
DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
W. Liang;T. Chikritzhs
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T. Chikritzhs
影响因子:
11.3
作者:
BUYSSE, DJ;REYNOLDS, CF;KUPFER, DJ
通讯作者:
KUPFER, DJ
DOI:
--
发表时间:
2008
期刊:
影响因子:
--
作者:
涌井幸子;安江恒;鎌田直人;武田孝志;徳本守彦
通讯作者:
徳本守彦
影响因子:
4.6
作者:
Zhang H;Werner JP;García-Bustamante E;González-Rouco F;Wagner S;Zorita E;Fraedrich K;Jungclaus JH;Ljungqvist FC;Zhu X;Xoplaki E;Chen F;Duan J;Ge Q;Hao Z;Ivanov M;Schneider L;Talento S;Wang J;Yang B;Luterbacher J
通讯作者:
Luterbacher J