Changes in sleep phase and body weight of mobile health App users during COVID-19 mild lockdown in Japan.

Changes in sleep phase and body weight of mobile health App users during COVID-19 mild lockdown in Japan.
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DOI:
10.1038/s41366-021-00890-7
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发表时间:
2021-10
期刊:
International journal of obesity (2005)
影响因子:
--
通讯作者:
Shibata S
Shibata S
中科院分区:
其他
文献类型:
--
作者:
Tahara Y;Shinto T;Inoue K;Roshanmehr F;Ito A;Michie M;Shibata S

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COVID-19疫情期间的居家令限制了个人的社交行为,因此影响了他们的生活方式,包括睡眠、饮食和体育活动。我们采用横断面研究设计,从日本的移动的健康App用户中抽取大样本量(N = 30,275),显示了非惩罚性“轻度封锁”期间(2020年4月至5月)与年龄相关的生活方式变化。工作日的睡眠开始和抵消延迟,但在自由日则没有,睡眠时间增加,社会时差减少,这种变化在年轻人群中更为明显。虽然由于用户的特点(95%的App用户试图减肥),平均体重变化几乎为零,但我们调查了生活方式变化与体重变化之间的关系。在轻度锁定期间报告睡眠阶段提前的参与者描述了体重减轻。相比之下,延迟睡眠阶段报告体重增加。在调整包括体力活动和膳食变化在内的混杂因素后,结果具有显著性。虽然有累积的证据表明晚期生理时钟型和肥胖之间的关系,但尚不清楚生理时钟型管理对控制体重的潜在益处。因此,据我们所知,这是第一项通过利用大型队列研究时钟型和体重变化之间关系的研究。
The stay-at-home order during the COVID-19 pandemic has restricted individuals’ social behaviors, and therefore, effected their lifestyle including sleep, diet, and physical activity. Using the cross-sectional study design with a large sample size (N = 30,275) from the mobile health App users in Japan, we show age-dependent lifestyle changes during a nonpunitive “mild lockdown” (from April to May 2020). Sleep onset and offset were delayed on work-days but not on free-days with increased sleep duration and decreased social jetlag, and the changes were more evident in the younger population. Although average weight change was close to none because of the users’ characteristic (95% of App users try to lose weight), we investigated an association between lifestyle change and body-weight change. Participants who reported advanced sleep phase during mild lockdown described a weight decrease. In contrast, the delayed sleep phase reported a weight gain. The results were significant after adjustment of confounding factors including physical activity and meal changes. Although there is cumulative evidence showing a relationship between late chronotype and obesity, it is still unclear about the potential benefit of the chronotype management to control body weight. Thus, to the best of our knowledge, this is the first study investigating the association between chronotype and weight changes by leveraging a large cohort.
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