Relationship between subjective sleep disturbances and glycaemia in Chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study

Abstract We wanted to determine whether subjective sleep disturbance was associated with serum glycated hemoglobin (HbA1c) in people with type 2 diabetes mellitus. In total, 944 randomly-selected people with diabetes completed the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). Partici...

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Autores principales: Chunrong Xu, Pan Zhang, Quanyong Xiang, Guiqiu Chang, Ming Zhang, Lei Zhang, Ting Li, Cheng Qiao, Yu Qin, Peian Lou
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Publicado: Nature Portfolio 2019
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spelling oai:doaj.org-article:de3801c6d34e4b76bc88318b55991bb62021-12-02T15:09:00ZRelationship between subjective sleep disturbances and glycaemia in Chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study10.1038/s41598-019-50814-92045-2322https://doaj.org/article/de3801c6d34e4b76bc88318b55991bb62019-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-50814-9https://doaj.org/toc/2045-2322Abstract We wanted to determine whether subjective sleep disturbance was associated with serum glycated hemoglobin (HbA1c) in people with type 2 diabetes mellitus. In total, 944 randomly-selected people with diabetes completed the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). Participants’ glycaemia was assessed using HbA1c in March 2016 and September 2017. The PSQI score and the change in score(△PSQI), and the HbA1c and its change (△HbAlc) were analysed by sex and age (30–45, 46–60, 61–75, and 76–89 years). Associations between time point PSQI and △PSQI with static HbA1c and △HbA1c were analysed using multiple linear regression. The results showed subjective sleep disturbance among people with diabetes was not correlated with serum HbAlc (β coefficient = 0.032, P = 0.103). However, cross-sectional multiple linear regression showed the relationship was present in women (β coefficient = 0.163, P < 0.01). In multiple linear regression, △PSQI score was correlated with △HbAlc value (β coefficient = 0.142, P < 0.01). The regression coefficient (β) for the relationship between △PSQI score and △HbA1c in men was greater than that in women, and for age was β61–75years < β46–60years < β30–45years. The strongest relationship between △PSQI and △HbA1c was in men aged 30–45 years (β = 0.452, P < 0.01). Subjective sleep disturbance among people with diabetes was not related to glycaemic status in the whole sample, but there was a correlation in women. The change in subjective sleep disturbance correlated with the change in glycaemia, most strongly in younger participants, especially men aged 30–45 years.Chunrong XuPan ZhangQuanyong XiangGuiqiu ChangMing ZhangLei ZhangTing LiCheng QiaoYu QinPeian LouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Chunrong Xu
Pan Zhang
Quanyong Xiang
Guiqiu Chang
Ming Zhang
Lei Zhang
Ting Li
Cheng Qiao
Yu Qin
Peian Lou
Relationship between subjective sleep disturbances and glycaemia in Chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study
description Abstract We wanted to determine whether subjective sleep disturbance was associated with serum glycated hemoglobin (HbA1c) in people with type 2 diabetes mellitus. In total, 944 randomly-selected people with diabetes completed the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). Participants’ glycaemia was assessed using HbA1c in March 2016 and September 2017. The PSQI score and the change in score(△PSQI), and the HbA1c and its change (△HbAlc) were analysed by sex and age (30–45, 46–60, 61–75, and 76–89 years). Associations between time point PSQI and △PSQI with static HbA1c and △HbA1c were analysed using multiple linear regression. The results showed subjective sleep disturbance among people with diabetes was not correlated with serum HbAlc (β coefficient = 0.032, P = 0.103). However, cross-sectional multiple linear regression showed the relationship was present in women (β coefficient = 0.163, P < 0.01). In multiple linear regression, △PSQI score was correlated with △HbAlc value (β coefficient = 0.142, P < 0.01). The regression coefficient (β) for the relationship between △PSQI score and △HbA1c in men was greater than that in women, and for age was β61–75years < β46–60years < β30–45years. The strongest relationship between △PSQI and △HbA1c was in men aged 30–45 years (β = 0.452, P < 0.01). Subjective sleep disturbance among people with diabetes was not related to glycaemic status in the whole sample, but there was a correlation in women. The change in subjective sleep disturbance correlated with the change in glycaemia, most strongly in younger participants, especially men aged 30–45 years.
format article
author Chunrong Xu
Pan Zhang
Quanyong Xiang
Guiqiu Chang
Ming Zhang
Lei Zhang
Ting Li
Cheng Qiao
Yu Qin
Peian Lou
author_facet Chunrong Xu
Pan Zhang
Quanyong Xiang
Guiqiu Chang
Ming Zhang
Lei Zhang
Ting Li
Cheng Qiao
Yu Qin
Peian Lou
author_sort Chunrong Xu
title Relationship between subjective sleep disturbances and glycaemia in Chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study
title_short Relationship between subjective sleep disturbances and glycaemia in Chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study
title_full Relationship between subjective sleep disturbances and glycaemia in Chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study
title_fullStr Relationship between subjective sleep disturbances and glycaemia in Chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study
title_full_unstemmed Relationship between subjective sleep disturbances and glycaemia in Chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study
title_sort relationship between subjective sleep disturbances and glycaemia in chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/de3801c6d34e4b76bc88318b55991bb6
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