1. Dietary variety is associated with sleep efficiency in urban-dwelling older adults: A longitudinal study
- Author
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Takahiro Yoshizaki, Maki Shirobe, Keiko Motokawa, Hirohiko Hirano, Yutaka Watanabe, Yuki Ohara, Misato Hayakawa, Tomohiro Yano, Shoji Shinkai, Hiroki Inagaki, Shuichi Awata, and Kaori Yamamoto
- Subjects
0301 basic medicine ,Gerontology ,Longitudinal study ,Urban Population ,Endocrinology, Diabetes and Metabolism ,030209 endocrinology & metabolism ,03 medical and health sciences ,0302 clinical medicine ,Humans ,Medicine ,Longitudinal Studies ,Aged ,030109 nutrition & dietetics ,Nutrition and Dietetics ,Sleep quality ,business.industry ,Sleep in non-human animals ,Diet ,Cross-Sectional Studies ,Panel analysis ,Drinking Status ,Smoking status ,Geriatric Depression Scale ,Sleep ,business ,Body mass index - Abstract
Summary Background & aims Improving 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. Methods This 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. Results After 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 Conclusion The possibility that DVS can predict sleep efficiency 2 years later was demonstrated.
- Published
- 2021
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