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


Journal

Clinical nutrition ESPEN
ISSN: 2405-4577
Titre abrégé: Clin Nutr ESPEN
Pays: England
ID NLM: 101654592

Informations de publication

Date de publication:
02 2021
Historique:
received: 19 09 2020
accepted: 19 10 2020
entrez: 25 1 2021
pubmed: 26 1 2021
medline: 25 9 2021
Statut: ppublish

Résumé

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. 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. 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 < 0.05). The possibility that DVS can predict sleep efficiency 2 years later was demonstrated.

Sections du résumé

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 < 0.05).
CONCLUSION
The possibility that DVS can predict sleep efficiency 2 years later was demonstrated.

Identifiants

pubmed: 33487295
pii: S2405-4577(20)31058-5
doi: 10.1016/j.clnesp.2020.10.013
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

391-397

Informations de copyright

Copyright © 2020. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Auteurs

Kaori Yamamoto (K)

Graduate School of Food and Nutritional Science, Toyo University, 1-1-1, Izumino, Itakura-machi, Ora-gun, Gunma, 374-0193, Japan; Tokyo Metropolitan Institute of Gerontology, 35-2, Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.

Keiko Motokawa (K)

Tokyo Metropolitan Institute of Gerontology, 35-2, Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan. Electronic address: kemotokawa@gmail.com.

Takahiro Yoshizaki (T)

Graduate School of Food and Nutritional Science, Toyo University, 1-1-1, Izumino, Itakura-machi, Ora-gun, Gunma, 374-0193, Japan.

Tomohiro Yano (T)

Graduate School of Food and Nutritional Science, Toyo University, 1-1-1, Izumino, Itakura-machi, Ora-gun, Gunma, 374-0193, Japan.

Hirohiko Hirano (H)

Tokyo Metropolitan Institute of Gerontology, 35-2, Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.

Yuki Ohara (Y)

Tokyo Metropolitan Institute of Gerontology, 35-2, Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.

Maki Shirobe (M)

Tokyo Metropolitan Institute of Gerontology, 35-2, Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.

Misato Hayakawa (M)

Tokyo Metropolitan Institute of Gerontology, 35-2, Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.

Hiroki Inagaki (H)

Tokyo Metropolitan Institute of Gerontology, 35-2, Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.

Shuichi Awata (S)

Tokyo Metropolitan Institute of Gerontology, 35-2, Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.

Shoji Shinkai (S)

Tokyo Metropolitan Institute of Gerontology, 35-2, Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan; Kagawa Nutrition University, 3-9-21, Chiyoda, Sakado-city, Saitama, 350-0288, Japan.

Yutaka Watanabe (Y)

Graduate School of Food and Nutritional Science, Toyo University, 1-1-1, Izumino, Itakura-machi, Ora-gun, Gunma, 374-0193, Japan; Tokyo Metropolitan Institute of Gerontology, 35-2, Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan; Gerodontology, Department of Oral Health Science, Faculty of Dental Medicine, Hokkaido University, 7-13, Kita-ku, Sapporo-city, Hokkaido, 060-8586, Japan.

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