Dietary variety is associated with sleep efficiency in urban-dwelling older adults: A longitudinal study

Dietary variety is associated with sleep efficiency in urban-dwelling older adults: A longitudinal study
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饮食多样性与城市老年人的睡眠效率相关:一项纵向研究

DOI:
10.1016/j.clnesp.2020.10.013
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发表时间:
2021
影响因子:
3
通讯作者:
Watanabe Yutaka
Watanabe Yutaka
中科院分区:
--
文献类型:
--
作者:
Yamamoto Kaori;Motokawa Keiko;Yoshizaki Takahiro;Yano Tomohiro;Hirano Hirohiko;Ohara Yuki;Shirobe Maki;Hayakawa Misato;Inagaki Hiroki;Awata Shuichi;Shinkai Shoji;Watanabe Yutaka

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背景与目的提高睡眠质量对于老龄化社会非常重要。然而,还没有使用纵向数据对日本老年人饮食变化和睡眠效率之间的关系进行研究。这项研究是一项纵向研究,旨在阐明饮食变化与日本老年人睡眠效率之间的关系。方法本研究于2016年至2018年在日本东京大都市地区进行,调查对象为老年人(2016年≥为70岁)。测定所有受试者的饮食多样性评分(DVS)和睡眠效率,并分别用于评估饮食习惯和睡眠质量。结果在调整了年龄、性别、体重指数、当前饮酒状况、当前吸烟状况、锻炼习惯、(独居或与他人同住)方式等因素后,日本版老年抑郁量表(简表)、睡眠时间和退休时间对2018年的睡眠效率有预测作用(β=0.130,P<005)。
Background & aimsImproving sleep quality is important for an aging society. However, no study has been conducted on the association between dietary variety and sleep efficiency among older Japanese adults using longitudinal data. The current study is a longitudinal study that aimed to elucidate the association between dietary variety and sleep efficiency in older Japanese adults.MethodsThis study was conducted among older adults (≥70 years old in 2016) in the metropolitan area of Tokyo, Japan, between 2016 and 2018. Dietary variety score (DVS) and sleep efficiency were determined for all participants and were used to assess dietary habits and sleep quality, respectively. A cross-lagged panel analysis was used to consider the prospective associations between DVS and sleep efficiency, and this analysis was performed before and after adjusting for possible covariates in the 2016 data.ResultsAfter adjusting for age, sex, body mass index, current drinking status, current smoking status, exercise habits, living (alone or with others) style, the Japanese version of the Geriatric Depression Scale (Short Form), sleep duration and retiring time the DVS in 2016 predicted the sleep efficiency in 2018 (β= 0.130,p< 0.05).ConclusionThe possibility that DVS can predict sleep efficiency 2 years later was demonstrated.