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Association of sleep quality with glycemic variability assessed by flash glucose monitoring in patients with type 2 diabetes

BACKGROUND: Deterioration of sleep quality has been reported to contribute to the incidence of diabetes and may be responsible for glycemic status in diabetes. The present study explored the relationship between sleep quality and glycemic variability in patients with type 2 diabetes (T2D). METHODS:...

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Autores principales: Yang, Yang, Zhao, Li-hua, Li, Dan-dan, Xu, Feng, Wang, Xiao-hua, Lu, Chun-feng, Wang, Chun-hua, Yu, Chao, Zhang, Xiu-lin, Ning, Li-yan, Wang, Xue-qin, Su, Jian-bin, Wang, Li-hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461905/
https://www.ncbi.nlm.nih.gov/pubmed/34556157
http://dx.doi.org/10.1186/s13098-021-00720-w
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author Yang, Yang
Zhao, Li-hua
Li, Dan-dan
Xu, Feng
Wang, Xiao-hua
Lu, Chun-feng
Wang, Chun-hua
Yu, Chao
Zhang, Xiu-lin
Ning, Li-yan
Wang, Xue-qin
Su, Jian-bin
Wang, Li-hua
author_facet Yang, Yang
Zhao, Li-hua
Li, Dan-dan
Xu, Feng
Wang, Xiao-hua
Lu, Chun-feng
Wang, Chun-hua
Yu, Chao
Zhang, Xiu-lin
Ning, Li-yan
Wang, Xue-qin
Su, Jian-bin
Wang, Li-hua
author_sort Yang, Yang
collection PubMed
description BACKGROUND: Deterioration of sleep quality has been reported to contribute to the incidence of diabetes and may be responsible for glycemic status in diabetes. The present study explored the relationship between sleep quality and glycemic variability in patients with type 2 diabetes (T2D). METHODS: We recruited 111 patients with T2D for this cross-sectional study. Each patient underwent flash glucose monitoring for 14 days to obtain glycemic variability parameters, such as standard deviation of glucose (SD), coefficient of variation of glucose (CV), mean amplitude of glycemic excursions (MAGE), mean of daily differences (MODD), and time in glucose range of 3.9–10 mmol/L (TIR(3.9–10)). After 14 days of flash glucose monitoring, each patient received a questionnaire on the Pittsburgh Sleep Quality Index (PSQI) to evaluate subjective sleep quality. HbA1c was also collected to assess average glucose. RESULTS: HbA1c was comparable among the subgroups of PSQI score tertiles. Across ascending tertiles of PSQI scores, SD, CV and MAGE were increased, while TIR(3.9–10) was decreased (p for trend  <  0.05), but not MODD (p for trend  =  0.090). Moreover, PSQI scores were positively correlated with SD, CV, MODD and MAGE (r =  0.322, 0.361, 0.308 and 0.354, respectively, p  <  0.001) and were inversely correlated with TIR(3.9–10) (r  =  − 0.386, p  <  0.001). After adjusting for other relevant data by multivariate linear regression analyses, PSQI scores were independently responsible for SD (β  =  0.251, t  =  2.112, p  =  0.041), CV (β  =  0.286, t  =  2.207, p  =  0.033), MAGE (β  =  0.323, t  =  2.489, p  =  0.018), and TIR(3.9–10) (β  =  − 0.401, t  =  − 3.930, p  <  0.001) but not for MODD (β  =  0.188, t  =  1.374, p  =  0.177). CONCLUSIONS: Increased glycemic variability assessed by flash glucose monitoring was closely associated with poor subjective sleep quality evaluated by the PSQI in patients with T2D. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-021-00720-w.
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spelling pubmed-84619052021-09-24 Association of sleep quality with glycemic variability assessed by flash glucose monitoring in patients with type 2 diabetes Yang, Yang Zhao, Li-hua Li, Dan-dan Xu, Feng Wang, Xiao-hua Lu, Chun-feng Wang, Chun-hua Yu, Chao Zhang, Xiu-lin Ning, Li-yan Wang, Xue-qin Su, Jian-bin Wang, Li-hua Diabetol Metab Syndr Research BACKGROUND: Deterioration of sleep quality has been reported to contribute to the incidence of diabetes and may be responsible for glycemic status in diabetes. The present study explored the relationship between sleep quality and glycemic variability in patients with type 2 diabetes (T2D). METHODS: We recruited 111 patients with T2D for this cross-sectional study. Each patient underwent flash glucose monitoring for 14 days to obtain glycemic variability parameters, such as standard deviation of glucose (SD), coefficient of variation of glucose (CV), mean amplitude of glycemic excursions (MAGE), mean of daily differences (MODD), and time in glucose range of 3.9–10 mmol/L (TIR(3.9–10)). After 14 days of flash glucose monitoring, each patient received a questionnaire on the Pittsburgh Sleep Quality Index (PSQI) to evaluate subjective sleep quality. HbA1c was also collected to assess average glucose. RESULTS: HbA1c was comparable among the subgroups of PSQI score tertiles. Across ascending tertiles of PSQI scores, SD, CV and MAGE were increased, while TIR(3.9–10) was decreased (p for trend  <  0.05), but not MODD (p for trend  =  0.090). Moreover, PSQI scores were positively correlated with SD, CV, MODD and MAGE (r =  0.322, 0.361, 0.308 and 0.354, respectively, p  <  0.001) and were inversely correlated with TIR(3.9–10) (r  =  − 0.386, p  <  0.001). After adjusting for other relevant data by multivariate linear regression analyses, PSQI scores were independently responsible for SD (β  =  0.251, t  =  2.112, p  =  0.041), CV (β  =  0.286, t  =  2.207, p  =  0.033), MAGE (β  =  0.323, t  =  2.489, p  =  0.018), and TIR(3.9–10) (β  =  − 0.401, t  =  − 3.930, p  <  0.001) but not for MODD (β  =  0.188, t  =  1.374, p  =  0.177). CONCLUSIONS: Increased glycemic variability assessed by flash glucose monitoring was closely associated with poor subjective sleep quality evaluated by the PSQI in patients with T2D. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-021-00720-w. BioMed Central 2021-09-23 /pmc/articles/PMC8461905/ /pubmed/34556157 http://dx.doi.org/10.1186/s13098-021-00720-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yang, Yang
Zhao, Li-hua
Li, Dan-dan
Xu, Feng
Wang, Xiao-hua
Lu, Chun-feng
Wang, Chun-hua
Yu, Chao
Zhang, Xiu-lin
Ning, Li-yan
Wang, Xue-qin
Su, Jian-bin
Wang, Li-hua
Association of sleep quality with glycemic variability assessed by flash glucose monitoring in patients with type 2 diabetes
title Association of sleep quality with glycemic variability assessed by flash glucose monitoring in patients with type 2 diabetes
title_full Association of sleep quality with glycemic variability assessed by flash glucose monitoring in patients with type 2 diabetes
title_fullStr Association of sleep quality with glycemic variability assessed by flash glucose monitoring in patients with type 2 diabetes
title_full_unstemmed Association of sleep quality with glycemic variability assessed by flash glucose monitoring in patients with type 2 diabetes
title_short Association of sleep quality with glycemic variability assessed by flash glucose monitoring in patients with type 2 diabetes
title_sort association of sleep quality with glycemic variability assessed by flash glucose monitoring in patients with type 2 diabetes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461905/
https://www.ncbi.nlm.nih.gov/pubmed/34556157
http://dx.doi.org/10.1186/s13098-021-00720-w
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