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Sleep Quality is an Independent Predictor of Blood Glucose and Gestational Diabetes Mellitus: A Longitudinal Study of 4550 Chinese Women

PURPOSE: To investigate whether pregnant women’s subjective sleep quality during the first trimester independently predicted blood glucose and gestational diabetes mellitus (GDM). METHODS: A total of 4550 pregnant women in the first trimester were enrolled in Chongqing Health Center for Women and Ch...

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Autores principales: Chen, Hongyan, He, Yang, Zeng, Xiaoling, Chen, Qing, Zhou, Niya, Yang, Huan, Zhou, Wenzheng, Zhang, Liwen, Yang, Rong, Huang, Qiao, Zhang, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012300/
https://www.ncbi.nlm.nih.gov/pubmed/35431589
http://dx.doi.org/10.2147/NSS.S353742
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author Chen, Hongyan
He, Yang
Zeng, Xiaoling
Chen, Qing
Zhou, Niya
Yang, Huan
Zhou, Wenzheng
Zhang, Liwen
Yang, Rong
Huang, Qiao
Zhang, Hua
author_facet Chen, Hongyan
He, Yang
Zeng, Xiaoling
Chen, Qing
Zhou, Niya
Yang, Huan
Zhou, Wenzheng
Zhang, Liwen
Yang, Rong
Huang, Qiao
Zhang, Hua
author_sort Chen, Hongyan
collection PubMed
description PURPOSE: To investigate whether pregnant women’s subjective sleep quality during the first trimester independently predicted blood glucose and gestational diabetes mellitus (GDM). METHODS: A total of 4550 pregnant women in the first trimester were enrolled in Chongqing Health Center for Women and Children, China, from January to October 2020.The Pittsburgh Sleep Quality Index (PSQI) was used to measure subjective sleep quality. Depression symptoms and anxiety were measured with the Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7). Oral glucose tolerance tests (OGTT) and blood glucose area under the curve (AUC) were used for estimation of blood glucose and diagnosis of GDM during the second trimester. Linear, mixed model, and logistic regression were used to analyze the association between PSQI and blood glucose as well as GDM. RESULTS: 946/4550 were diagnosed with GDM (20.8%). In the mixed model analysis, the blood glucose level of the highest-scoring group (PSQI score = 18) was 1.94 (95% CI: 0.45~3.43, P = 0.011) mmol/L higher than that of the lowest-scoring group (PSQI score = 0). After adjusting for potential confounders, a one-point PSQI score increase was associated with a 0.014 (95% CI: 0.001~0.027, P = 0.039) mmol/L increase in blood glucose level. Blood glucose AUC was also positively associated with PSQI scores (β = 0.034, 95% CI: 0.003~0.064, P = 0.030). The results for the logistic regression model showed that PSQI was marginal positively correlated with GDM (OR = 1.146, 95% CI: 0.995~1.321, P = 0.059) when age and BMI were not controlled for. When investigating the association between PSQI and the GDM-diagnosed time window, the 1-h diagnosed GDM had a borderline positive correlation with PSQI (OR = 1.182, 95% CI: 0.993~1.405, P = 0.060). CONCLUSION: Sleep quality during the first trimester may be a risk factor for elevated blood glucose and GDM later in gestation.
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spelling pubmed-90123002022-04-16 Sleep Quality is an Independent Predictor of Blood Glucose and Gestational Diabetes Mellitus: A Longitudinal Study of 4550 Chinese Women Chen, Hongyan He, Yang Zeng, Xiaoling Chen, Qing Zhou, Niya Yang, Huan Zhou, Wenzheng Zhang, Liwen Yang, Rong Huang, Qiao Zhang, Hua Nat Sci Sleep Original Research PURPOSE: To investigate whether pregnant women’s subjective sleep quality during the first trimester independently predicted blood glucose and gestational diabetes mellitus (GDM). METHODS: A total of 4550 pregnant women in the first trimester were enrolled in Chongqing Health Center for Women and Children, China, from January to October 2020.The Pittsburgh Sleep Quality Index (PSQI) was used to measure subjective sleep quality. Depression symptoms and anxiety were measured with the Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7). Oral glucose tolerance tests (OGTT) and blood glucose area under the curve (AUC) were used for estimation of blood glucose and diagnosis of GDM during the second trimester. Linear, mixed model, and logistic regression were used to analyze the association between PSQI and blood glucose as well as GDM. RESULTS: 946/4550 were diagnosed with GDM (20.8%). In the mixed model analysis, the blood glucose level of the highest-scoring group (PSQI score = 18) was 1.94 (95% CI: 0.45~3.43, P = 0.011) mmol/L higher than that of the lowest-scoring group (PSQI score = 0). After adjusting for potential confounders, a one-point PSQI score increase was associated with a 0.014 (95% CI: 0.001~0.027, P = 0.039) mmol/L increase in blood glucose level. Blood glucose AUC was also positively associated with PSQI scores (β = 0.034, 95% CI: 0.003~0.064, P = 0.030). The results for the logistic regression model showed that PSQI was marginal positively correlated with GDM (OR = 1.146, 95% CI: 0.995~1.321, P = 0.059) when age and BMI were not controlled for. When investigating the association between PSQI and the GDM-diagnosed time window, the 1-h diagnosed GDM had a borderline positive correlation with PSQI (OR = 1.182, 95% CI: 0.993~1.405, P = 0.060). CONCLUSION: Sleep quality during the first trimester may be a risk factor for elevated blood glucose and GDM later in gestation. Dove 2022-04-11 /pmc/articles/PMC9012300/ /pubmed/35431589 http://dx.doi.org/10.2147/NSS.S353742 Text en © 2022 Chen et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Chen, Hongyan
He, Yang
Zeng, Xiaoling
Chen, Qing
Zhou, Niya
Yang, Huan
Zhou, Wenzheng
Zhang, Liwen
Yang, Rong
Huang, Qiao
Zhang, Hua
Sleep Quality is an Independent Predictor of Blood Glucose and Gestational Diabetes Mellitus: A Longitudinal Study of 4550 Chinese Women
title Sleep Quality is an Independent Predictor of Blood Glucose and Gestational Diabetes Mellitus: A Longitudinal Study of 4550 Chinese Women
title_full Sleep Quality is an Independent Predictor of Blood Glucose and Gestational Diabetes Mellitus: A Longitudinal Study of 4550 Chinese Women
title_fullStr Sleep Quality is an Independent Predictor of Blood Glucose and Gestational Diabetes Mellitus: A Longitudinal Study of 4550 Chinese Women
title_full_unstemmed Sleep Quality is an Independent Predictor of Blood Glucose and Gestational Diabetes Mellitus: A Longitudinal Study of 4550 Chinese Women
title_short Sleep Quality is an Independent Predictor of Blood Glucose and Gestational Diabetes Mellitus: A Longitudinal Study of 4550 Chinese Women
title_sort sleep quality is an independent predictor of blood glucose and gestational diabetes mellitus: a longitudinal study of 4550 chinese women
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012300/
https://www.ncbi.nlm.nih.gov/pubmed/35431589
http://dx.doi.org/10.2147/NSS.S353742
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