Sleep quality and gestational diabetes in pregnant women: a systematic review and meta-analysis.

Sleep Med

Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA.

Published: March 2020

Poor sleep quality is very common among pregnant women. Gestational diabetes mellitus (GDM) has been related to various adverse maternal and neonatal outcomes. The aim of this systematic review was to examine the association between poor sleep quality and gestational diabetes risk. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic search was conducted in five electronic databases from inception to February 2019. Studies that examined the relationship between sleep quality and glucose in pregnant women were screened for eligibility. Pooled odds ratio (OR) with 95% confidence interval (CI) was calculated from aggregate data using a fixed-effect model. Thirteen non-experimental studies (n = 21,194 women) were eligible for inclusion. Poor sleep quality was measured using subjective questionnaires in nine studies and objective methods (actigraphy or polysomnography) in four studies. GDM was typically diagnosed following standard guidelines. Eight studies were included in the meta-analysis for GDM. Overall, self-reported poor sleep quality was a significant risk factor for GDM (pooled OR = 1.43, 95%CI: 1.16,1.77, p = 0.001). Three studies examined the association between objective sleep quality and GDM, but no significant relationship was observed. Subjective poor sleep quality was related to an increased risk for GDM, while objectively measured sleep quality was not. This review was limited by the assessment of sleep quality. Future larger studies are warranted to examine the effects of sleep quality on glucose metabolism in pregnancy. Ideally, these studies should measure sleep quality using both validated questionnaires and objective methods. These will provide further directions for improving sleep during pregnancy and exploring its effects on glucose metabolism.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.sleep.2019.11.1246DOI Listing

Publication Analysis

Top Keywords

sleep quality
48
poor sleep
20
sleep
13
gestational diabetes
12
pregnant women
12
quality
11
quality gestational
8
studies
8
studies examined
8
quality glucose
8

Similar Publications

Discrimination (unfair treatment due to group membership) is relatively common among adolescents and has been linked to poor sleep and physical health. Individual differences in physiological functioning may moderate these associations. A sample of 323 youth (48% boys, 52% girls; 58.

View Article and Find Full Text PDF

Associations of Tai Chi With Depression and Anxiety Among Older Adults: Nationwide Study Findings From a Network Perspective.

J Geriatr Psychiatry Neurol

January 2025

Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.

Within the global population, depression and anxiety are common among older adults. Tai Chi is believed to have a positive impact on these disturbances. This study examined the network structures of depression and anxiety among older Tai Chi practitioners vs non-practitioners.

View Article and Find Full Text PDF

The WOUND-Q is a patient-reported outcome measure for individuals with any type of chronic wound. This study aimed to identify patient and wound factors associated with the four WOUND-Q health-related quality of life (HRQL) scales: Life impact, Psychological, Sleep, and Social. Adults with a chronic wound were recruited internationally through clinical settings between August 2018 and May 2020, and through an online platform (i.

View Article and Find Full Text PDF

Objective: To compare the application effects of short-term peripheral nerve stimulation (st-PNS) and pulsed radiofrequency (PRF) technology in postherpetic neuralgia (PHN).

Methods: A retrospective analysis was conducted on the clinical data of 127 PHN patients from our hospital. Based on the treatment interventions received, patients were divided into a control group (n=63, treated with PRF) and an observation group (n=64, treated with st-PNS).

View Article and Find Full Text PDF

Artificial intelligence in respiratory care.

Front Digit Health

December 2024

Faculty of Engineering and Computing, Liwa College, Abu Dhabi, United Arab Emirates.

The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. Although the concept of AI in healthcare was introduced in the early 1970s, the integration of this technology in healthcare is still in the evolution phase. Despite barriers, the current decade is witnessing an increased utility of AI into diverse specialities of the medical field to enhance precision medicine, predict diagnosis, therapeutic results, and prognosis; this includes respiratory medicine, critical care, and in their allied specialties.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!