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Canonical Correlation Analysis on the Association Between Sleep Quality and Nutritional Status Among Centenarians in Hainan

Objective: To analyze the correlation between nutritional status and sleep quality among centenarians. Methods: A total of 1,002 centenarians in Hainan were included in the full sample survey. The Mini Nutritional Assessment-Short Form (MNA-SF) was used for nutritional risk assessment and the Pittsb...

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Autores principales: Liu, Guangdong, Yang, Shanshan, Liu, Wei, Wang, Shengshu, Tai, Penggang, Kou, Fuyin, Jia, Wangping, Han, Ke, Liu, Miao, He, Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716598/
https://www.ncbi.nlm.nih.gov/pubmed/33330327
http://dx.doi.org/10.3389/fpubh.2020.585207
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author Liu, Guangdong
Yang, Shanshan
Liu, Wei
Wang, Shengshu
Tai, Penggang
Kou, Fuyin
Jia, Wangping
Han, Ke
Liu, Miao
He, Yao
author_facet Liu, Guangdong
Yang, Shanshan
Liu, Wei
Wang, Shengshu
Tai, Penggang
Kou, Fuyin
Jia, Wangping
Han, Ke
Liu, Miao
He, Yao
author_sort Liu, Guangdong
collection PubMed
description Objective: To analyze the correlation between nutritional status and sleep quality among centenarians. Methods: A total of 1,002 centenarians in Hainan were included in the full sample survey. The Mini Nutritional Assessment-Short Form (MNA-SF) was used for nutritional risk assessment and the Pittsburgh Sleep Quality Index Scale (PSQI) was used for evaluating sleep quality. Canonical correlation analysis was conducted to analyze their correlation. Results: Two statistically significant (p < 0.05) canonical coefficients were found, with the first canonical correlation coefficient having a value of 0.247, eigenvalue of 0.065, and contribution rate of 89.0%. The linear combination of nutrition variable V(1), mainly determined by MNA1 (appetite loss), MNA5 (dementia/depression), and MNA2 (weight loss), indicates an association with sleep quality; the linear combination of sleep quality W(1), mainly determined by PSQI1 (subjective sleep quality), PSQI7 (daytime dysfunction), and PSQI2 (sleep latency), indicates an association with nutritional status. Appetite loss, dementia/depression, and weight loss have negative correlations with subjective sleep quality and daytime dysfunction. Conclusion: Among centenarians, the relationship between nutritional status and sleep quality is bidirectional. Furthermore, appetite loss, dementia/depression, weight loss, subjective sleep quality, and daytime dysfunction are the main relevant factors.
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spelling pubmed-77165982020-12-15 Canonical Correlation Analysis on the Association Between Sleep Quality and Nutritional Status Among Centenarians in Hainan Liu, Guangdong Yang, Shanshan Liu, Wei Wang, Shengshu Tai, Penggang Kou, Fuyin Jia, Wangping Han, Ke Liu, Miao He, Yao Front Public Health Public Health Objective: To analyze the correlation between nutritional status and sleep quality among centenarians. Methods: A total of 1,002 centenarians in Hainan were included in the full sample survey. The Mini Nutritional Assessment-Short Form (MNA-SF) was used for nutritional risk assessment and the Pittsburgh Sleep Quality Index Scale (PSQI) was used for evaluating sleep quality. Canonical correlation analysis was conducted to analyze their correlation. Results: Two statistically significant (p < 0.05) canonical coefficients were found, with the first canonical correlation coefficient having a value of 0.247, eigenvalue of 0.065, and contribution rate of 89.0%. The linear combination of nutrition variable V(1), mainly determined by MNA1 (appetite loss), MNA5 (dementia/depression), and MNA2 (weight loss), indicates an association with sleep quality; the linear combination of sleep quality W(1), mainly determined by PSQI1 (subjective sleep quality), PSQI7 (daytime dysfunction), and PSQI2 (sleep latency), indicates an association with nutritional status. Appetite loss, dementia/depression, and weight loss have negative correlations with subjective sleep quality and daytime dysfunction. Conclusion: Among centenarians, the relationship between nutritional status and sleep quality is bidirectional. Furthermore, appetite loss, dementia/depression, weight loss, subjective sleep quality, and daytime dysfunction are the main relevant factors. Frontiers Media S.A. 2020-11-20 /pmc/articles/PMC7716598/ /pubmed/33330327 http://dx.doi.org/10.3389/fpubh.2020.585207 Text en Copyright © 2020 Liu, Yang, Liu, Wang, Tai, Kou, Jia, Han, Liu and He. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Liu, Guangdong
Yang, Shanshan
Liu, Wei
Wang, Shengshu
Tai, Penggang
Kou, Fuyin
Jia, Wangping
Han, Ke
Liu, Miao
He, Yao
Canonical Correlation Analysis on the Association Between Sleep Quality and Nutritional Status Among Centenarians in Hainan
title Canonical Correlation Analysis on the Association Between Sleep Quality and Nutritional Status Among Centenarians in Hainan
title_full Canonical Correlation Analysis on the Association Between Sleep Quality and Nutritional Status Among Centenarians in Hainan
title_fullStr Canonical Correlation Analysis on the Association Between Sleep Quality and Nutritional Status Among Centenarians in Hainan
title_full_unstemmed Canonical Correlation Analysis on the Association Between Sleep Quality and Nutritional Status Among Centenarians in Hainan
title_short Canonical Correlation Analysis on the Association Between Sleep Quality and Nutritional Status Among Centenarians in Hainan
title_sort canonical correlation analysis on the association between sleep quality and nutritional status among centenarians in hainan
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716598/
https://www.ncbi.nlm.nih.gov/pubmed/33330327
http://dx.doi.org/10.3389/fpubh.2020.585207
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