Item type |
itemtype_ver1(1) |
公開日 |
2022-09-05 |
タイトル |
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タイトル |
Relationships between sleep efficiency and lifestyle evaluated by objective sleep assessment: SLeep Epidemiology Project at University of Tsukuba |
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言語 |
en |
著者 |
Ikeda, Yu
Morita, Emi
Muroi, Kei
Arai, Yo
Ikeda, Tomohiko
Takahashi, Tsukasa
Shiraki, Nagisa
Doki, Shotaro
Hori, Daisuke
Oi, Yuichi
Sasahara, Shin-ichiro
Ishihara, Asuka
Matsumoto, Sumire
Yanagisawa, Masashi
Satoh, Makoto
Matsuzaki, Ichiyo
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アクセス権 |
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アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
権利 |
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言語 |
en |
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権利情報Resource |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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権利情報 |
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International |
キーワード |
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主題Scheme |
Other |
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主題 |
sleep |
キーワード |
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主題Scheme |
Other |
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主題 |
lifestyle |
キーワード |
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主題Scheme |
Other |
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主題 |
actigraphy |
キーワード |
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主題Scheme |
Other |
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主題 |
worker |
キーワード |
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主題Scheme |
Other |
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主題 |
sleep efficiency |
内容記述 |
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内容記述タイプ |
Abstract |
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内容記述 |
Objectively measured sleep efficiency has recently been shown to be associated with health problems. Although several factors have previously been reported to be associated with sleep efficiency, most of these studies were conducted on older or younger adults, and the factors associated with sleep efficiency in healthy workers remain unknown. The aim of this study was to investigate the relationship between sleep efficiency and lifestyle factors using sleep measurement data recorded by an activity meter worn by workers. In total, 693 workers (male, 43.6%; mean age, 42.7 ± 11.3 years) were recruited from five offices in 2017. Sleep was measured over the period of 1 week by actigraphy. Workers’ attributes, lifestyle habits, and occupational stress were identified using a questionnaire, and the association of sleep efficiency with lifestyle, occupational stress, and attributes was explored by logistic regression analysis. A logistic regression analysis using attributes and occupational stress as adjustment variables revealed that “longer sleeping hours on weekends than on weekdays” [odds ratios (OR), 0.66; 95% confidence interval (CI), 0.47–0.94], “water ingestion at bedtime” [OR, 2.09; 95% CI, 1.28–3.41], and “smartphone use at bedtime” [OR, 1.90; 95% CI, 1.28–2.83] were associated with decreased sleep efficiency. This study found that lifestyle habits were associated with sleep efficiency among workers. It is necessary to verify whether intervention in these lifestyle habits would contribute to the improvement of sleep efficiency in future studies. |
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言語 |
en |
出版者 |
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出版者 |
Nagoya University Graduate School of Medicine, School of Medicine |
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言語 |
en |
言語 |
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言語 |
eng |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
departmental bulletin paper |
出版タイプ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
ID登録 |
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ID登録 |
10.18999/nagjms.84.3.554 |
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ID登録タイプ |
JaLC |
関連情報 |
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関連タイプ |
isVersionOf |
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識別子タイプ |
URI |
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関連識別子 |
https://www.med.nagoya-u.ac.jp/medlib/nagoya_j_med_sci/843.html |
収録物識別子 |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
0027-7622 |
収録物識別子 |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
2186-3326 |
書誌情報 |
en : Nagoya Journal of Medical Science
巻 84,
号 3,
p. 554-569,
発行日 2022-08
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