Sleep duration and quality, and risk of gestational diabetes mellitus in pregnant Chinese women

Association between sleep duration during pregnancy and gestational diabetes mellitus: a systematic review and meta-analysis

Objective

To systematically review studies on the correlation between sleep duration during pregnancy and gestational diabetes mellitus (GDM) and use meta-analysis to explore the correlation between the two to provide a basis for preventing GDM during pregnancy.

Methods

The search databases were China Knowledge Network (CNKI), Weipu, Wanfang, China Biomedical Literature Service System (SinoMed), Cochrane Library, Web of Science, Embase, and PubMed, and the search time was from the establishment of the above databases to July 2023. The data were statistically analyzed using STATA/MP17 and RevMan 5.3 software. Publication bias could be accurately assessed using funnel plots and Egger's test.

Results

A total of 5,197 papers were searched, and 13 studies were finally included, which included 80,259 individuals, including 3,461 patients with GDM. The comprehensive analysis showed that. Based on pooled data from prospective, cross-sectional, and case-control studies, extreme sleep duration during pregnancy was strongly associated with GDM compared with average sleep duration. The results of the prospective studies showed that both short (OR = 1.50, 95% CI: 1.07-2.10, I2 = 60.9%, p = 0.02) and long (OR = 1.28, 95% CI: 1.13-1.46, I2 = 0.0%, p < 0.0001) sleep duration increased the risk of gestational diabetes mellitus, but the harms were more pronounced with short sleep. In analyzing the association between extreme sleep duration and GDM, publication bias was found in prospective, cross-sectional, and case-control studies with moderate heterogeneity and prospective-only studies with low heterogeneity.

Conclusion

Both too short and too long sleep duration during pregnancy are strongly associated with GDM. Either too short or too long sleep duration predicts the risk of developing GDM, but the harms are more pronounced with short sleep. These findings remind us of the importance of controlling sleep duration during pregnancy and help to optimize early strategies to prevent GDM.Systematic review registration: http://www.crd.york.ac.uk/prospero, identifier [CRD42023470925].

Association between nighttime sleep duration, midday napping, and sleep quality during early pregnancy and risk of gestational diabetes mellitus: A prospective cohort study in China

AIM

To evaluate the prospective associations of nighttime sleep duration, midday napping, and sleep quality during early pregnancy with gestational diabetes mellitus (GDM) risk among Chinese pregnant women.

METHODS

Sleep-related information was assessed by the Pittsburgh Sleep Quality Index in baseline surveys during the 6-15 (mean 10.3) gestational weeks. GDM was diagnosed during 24-28 gestational weeks according to the Chinese Guidelines on Diagnosis and Management of Hyperglycemia in Pregnancy (2022). Multivariable logistic regression models with adjustments for socio-demographic and lifestyle factors were used to estimate odds ratios (ORs) and 95 % confidence intervals (CIs) for the associations of sleep traits with GDM risk.

RESULTS

We identified 503 incident GDM cases among 6993 participants. Compared with women who slept for 7-9 hours/night in early pregnancy, those who slept <7 hours/night showed a higher risk of GDM (OR, 1.75; 95 % CI: 1.20-2.54), whereas those who slept >9 hours/night showed no significant association for GDM risk (OR, 1.01; 95 % CI: 0.78-1.30). Compared with women with absolutely no napping, those with ≤60 and > 60 min/day midday napping showed no significant association for GDM risk (OR, 0.82; 95 % CI: 0.64-1.05 for ≤60 min/day midday napping; OR, 0.87; 95 % CI: 0.66-1.15 for >60 min/day midday napping). Poor sleep quality was not associated with GDM risk compared with good quality (OR, 0.90; 95 % CI: 0.72-1.12).

CONCLUSION

A short nighttime sleep duration during early pregnancy was associated with a higher risk of GDM, which was independent of midday napping, sleep quality and lifestyle factors.

Sleep disorders during pregnancy: an underestimated risk factor for gestational diabetes mellitus

Sleep disorders are highly prevalent during pregnancy and significantly affect women's health and quality of life. Gestational diabetes mellitus (GDM) is one of the most common metabolic complications during pregnancy and constitutes a significant risk factor for both mother and fetus in the short and the long term. While the association between sleep disorders and type 2 diabetes mellitus (T2DM) is indisputable, it is not clear whether there is a link between sleep disorders and GDM. The aim of this article was to investigate the association between sleep disorders and GDM and whether the treatment of sleep disorders may prevent GDM development. Insomnia, obstructive sleep apnea (OSA), restless legs syndrome (RLS), and narcolepsy were the most common sleep disorders identified during pregnancy and were related to poor sleep quality and short or prolonged sleep duration. They were all associated with an increased risk of GDM. The ideal sleep duration for pregnant women was determined at 8-9 h daily. In conclusion, sleep disorders constitute a risk factor for GDM. It is imperative that prospective studies be conducted to evaluate the effect of the early management of sleep disorders on GDM manifestation and control. Healthcare providers should highlight the importance of sufficient sleep to reinforce pregnancy outcomes.

Effects of sleep quality in early pregnancy on pregnancy outcomes and mood state

PURPOSE

To clarify the relationship between quality of sleep and pregnancy outcomes and to explore how sleep quality affects mood state in the first trimester of pregnancy.

METHODS

This prospective cohort study enrolled pregnant women from June 2020 to June 2021. Maternal sleep conditions, daytime sleepiness, and mood state in the first trimester were assessed using four Chinese self-rating scales, namely, the Pittsburgh Sleep Quality Index (PSQI), the Sleep Hygiene Practice Scale (SHPS), Epworth Sleepiness Scale (ESS), and the abbreviated version of the Profile of Mood States (a-POMS). Participants were divided into an exposed group (PSQI score > 5, poor sleep quality group) and a non-exposed group (PSQI score ≤ 5, good sleep quality group). Maternal characteristics, pregnancy outcomes, and the relationship among sleep quality, sleepiness, and mood state were analyzed. Comparisons of sleep hygiene behavior variables between the two subgroups were also analyzed.

RESULTS

A total of 2703 pregnant women were enrolled in the study. Poor sleep quality increased the probability of gestational diabetes mellitus (GDM) (1.573, 1.315-1.863), liver function damage (1.467, 1.021-2.107), preterm delivery (1.468, 1.077-2.002), mild sleepiness (1.612, 1.357-1.915), and excessive sleepiness (2.134, 1.686-2.701). Poor maternal sleep quality was significantly associated with the occurrence of preterm premature rupture of membranes (1.947, 1.168-3.243) and perinatal death (1.003, 1.000-1.006). Additionally, a significant positive correlation between the PSQI score and the total mood disturbance (TMD) score was revealed by Spearman's correlation analysis (r = 0.378, P < 0.01). Enter Regression analysis demonstrated that sleep quality (R2 = 0.390, P < 0.01) and sleepiness (R2 = 0.234, P < 0.01) exerted significant direct effects on mood state during pregnancy. Furthermore, Spearman's correlation analysis indicated a positive association between the PSQI score and the SHPS total score (r = 0.227, P < 0.01).

CONCLUSIONS

Poor sleep quality is significantly associated with elevated rates of maternal mood disturbances, obstetric complications, and adverse outcomes in infants. The findings suggest that it may be useful to provide comprehensive sleep assessment and education on sleep hygiene during the early stages of pregnancy.

Effect of folic acid supplementation in the association between short sleep duration and gestational diabetes mellitus

PURPOSE

To examine whether or not folic acid (FA) supplementation may modify the relationships between duration or quality of sleep and gestational diabetes mellitus (GDM) risk.

METHODS

In a case-control study of patients with GDM and controls, mothers were interviewed face-to-face at enrollment. The Pittsburgh Sleep Quality Scale was used to assess duration and quality of sleep during early pregnancy, and information on FA supplementation and covariates was obtained using a semiquantitative questionnaire.

RESULTS

Among 396 patients with GDM and 904 controls, GDM risk increased by 328% and 148% among women with short (< 7 h) and long (≥ 9 h) sleep durations, respectively, compared to those averaging 7-8.9 h sleep. Mothers with poor sleep quality increased their GDM risk by an average of 75% (all p < 0.05). The effect of short sleep duration on GDM risk was much weaker among women with adequate FA supplementation (taking supplements containing ≥ 0.4 mg FA daily for each day of the first three months of pregnancy) than that among women with inadequate FA supplementation, with a p-value for interaction = 0.003. There were no significant effects of FA on links among long duration and poor quality of sleep with GDM risk.

CONCLUSIONS

Sleep duration and quality in early gestation were related to increased GDM risks. FA supplementation may reduce GDM risk associated with short sleep duration.

Sleep deprivation during pregnancy leads to poor fetal outcomes in Sprague-Dawley rats

Sleep deprivation is a common problem during pregnancy, but its impact on the fetus remains unclear. We aimed to investigate the effect of sleep deprivation during pregnancy on fetal outcomes and its mechanism in Sprague-Dawley rats. Sleep deprivation was performed from gestational day(GD) 1-19 using a multiplatform method for 18 h/day. Rats were sacrificed on GD20, and their blood and placentas were collected. Fetal and placental parameters were ascertained. Melatonin, adrenocorticotropic hormone (ACTH) and corticosterone were also measured in serum. The levels of arylalkylamine N-acetyltransferase (AANAT) and two melatonin receptors MT1 and MT2, in placental tissues were detected by western blotting. The inflammatory status and oxidative stress in serum and placentas were investigated. Miscarriage and intrauterine growth restriction were observed in the sleep deprivation group. Sleep deprivation resulted in an increased fetal absorption rate, while fetal weight, crown-rump length and placental weight were reduced. Placental histopathology showed that the labyrinth ratio in the sleep deprivation group was significantly reduced, with hypoplastic villi and obviously decreased blood vessels. Sleep deprivation decreased melatonin in serum and the expression of AANAT, MT1 and MT2 in placental tissues, elevated the oxidative stress products 8-hydroxy-deoxyguanosine (8-OHdG) and malondialdehyde(MDA) in serum and 4-hydroxynonenal (4HNE) in the placenta, and decreased the antioxidants superoxide dismutase (SOD) and total antioxidant capacity (T-AOC) in serum. Serum proinflammatory cytokines including interleukin-1-beta (IL-1β), interleukin-6 (IL-6), necrotizing factor-alpha (TNF-α), and interleukin-8(IL-8), were all elevated by sleep deprivation, and the inflammatory regulatory factor nuclear factor-κB p65 (NF-κB p65) in the placenta was enhanced when examined by immunohistochemistry. Corticosterone levels were comparable between the two groups, although ACTH levels were elevated significantly in the sleep deprivation group. Our study revealed that sleep deprivation during pregnancy can adversely impact fetal outcomes. Melatonin may play an important role in this pathology through the oxido-inflammatory process.

Sleep Deficiency in Pregnancy

Sleep is a critical aspect of one's daily life for overall health, with a recommended 7 to 9 hours in adulthood (ages 26-64). Up to a third of women do not sleep sufficiently, and pregnant women are at an increased risk for sleep deficiency. Throughout pregnancy, sleep is affected in differing ways. For example, in the first trimester, hormones affect sleep cycles, but by the third trimester, physical complaints such as increasing frequent urination and fetal movement create frequent awakenings. Associations between sleep deficiency and gestational diabetes, hypertensive disorders, depression, and some evidence regarding preterm birth exist. A woman's labor course and perception of delivery are also negatively affected by short sleep duration.

Unraveling the associations and causalities between glucose metabolism and multiple sleep traits

Purpose

The aim of our study is to estimate the associations and causalities of glucose metabolism traits of fasting blood glucose (FBG), fasting insulin (FINS), glycosylated hemoglobin (HbA1c), and 2-h glucose post-challenge (2hGlu) with sleep traits consisting of excessive daytime sleepiness (EDS), insomnia, and sleep duration.

Methods

We employed standard quantitative analysis procedures to assess the associations between sleep traits and glucose metabolism. Moreover, we acquired published genome-wide association studies (GWAS) summary statistics for these traits and conducted Mendelian randomization (MR) analyses to estimate their causal directions and effects. Inverse variance weighting (IVW) was employed as the primary approach, followed by sensitivity analyses.

Results

A total of 116 studies with over 840,000 participants were included in the quantitative analysis. Our results revealed that participants with abnormal glucose metabolism had higher risks for EDS (OR [95% CI] = 1.37 [1.10,1.69]), insomnia (OR [95% CI] = 1.65 [1.24,2.20]), and both short and long sleep duration (OR [95% CI] = 1.35 [1.12,1.63]; OR [95% CI] = 1.38 [1.13,1.67] respectively). In addition, individuals with these sleep traits exhibited alterations in several glycemic traits compared with non-affected controls. In MR analysis, the primary analysis demonstrated causal effects of 2hGlu on risks of EDS (OR [95% CI] = 1.022 [1.002,1.042]) and insomnia (OR [95% CI] = 1.020[1.001,1.039]). Furthermore, FINS was associated with short sleep duration (OR [95% CI] = 1.043 [1.018,1.068]), which reversely presented a causal influence on HbA1c (β [95% CI] = 0.131 [0.022,0.239]). These results were confirmed by sensitivity analysis.

Conclusion

Our results suggested mutual risk and causal associations between the sleep traits and glycemic traits, shedding new light on clinical strategies for preventing sleep disorders and regulating glucose metabolism. Future studies targeting these associations may hold a promising prospect for public health.

Depression, sleep quality, and body image disturbances among pregnant women in India: a cross-sectional study

BACKGROUND

Pregnancy is associated with a number of physical, emotional, and biological changes that can exacerbate maternal psychological disturbances, such as body image concerns and depression. Sleep disturbances during pregnancy can also have adverse impacts. This study aimed to determine the prevalence of depression, sleep disturbances, and body image concerns among pregnant women. The study also examined the relationship between these factors and pregnancy-related variables, such as bad obstetric history and whether the pregnancies were unplanned.

METHODS

A cross-sectional study of 146 pregnant patients was conducted at a tertiary care center over 15 months. The patients were administered the Beck Depression Inventory, Pittsburgh Sleep Quality Index, and Body Image Concern Inventory questionnaires. Contingency tables, Fisher exact test, and Spearman correlation were used to identify underlying relationships.

RESULTS

The prevalence of depression was 22.6%. Although body image disturbance was noted in only 2.7% of patients, 46.6% had poor sleep quality. Poor sleep was associated with primigravida status. Bad obstetric history and unplanned pregnancy were associated with depression. Depression was found to be significantly correlated with body image disturbances and poor sleep quality.

CONCLUSION

Psychiatric disorders were prevalent during pregnancy. This study highlights the importance of screening for depression in pregnant patients. Counselling and caregiver education can be useful for mitigating psychological disturbances. Management of pregnancies by multidisciplinary teams that include psychiatrists could be immensely useful in improving the pregnancy experiences of patients.

Sleep quality in women with diabetes in pregnancy: a single-center retrospective study

PURPOSE

Sleep quality is an important indicator of individual quality of life, which not only affects people's mental health but is also closely related to the occurrence of many diseases. Sleep disorders associated with diabetes in pregnancy can greatly endanger the health of both mothers and babies, and their hazards are strongly associated with blood glucose levels. This study explored the quality of sleep and sleep disorders in pregnant women with diabetes.

METHODS

From June 2020 to July 2021, a total of 693 patients diagnosed with diabetes during pregnancy in Gansu Provincial Maternal and Child Health Hospital were used as the experiment group, including 626 patients with gestational diabetes mellitus (GDM) and 67 patients with pregestational diabetes mellitus (PGDM). At the same time, 709 women not having diabetes were randomly selected as the control group. To obtain the general situation of the participants, the participants were surveyed using the Pittsburgh Sleep Quality Index (PSQI) and the STOP-BANG (S, Snoring; T, Tiredness; O, Observed apnea; P, high blood Pressure; B, Body mass index > 35 kg/ m2; A, Age > 50 years; N, Neck circumference > 40 cm; G, male Gender) questionnaire. The differences in sleep quality and obstructive sleep apnea-hypopnea syndrome (OSAHS) were analyzed between the experiment group and the control group by using chi-square and t-test, and the clinical features and related factors of sleep disorder were analyzed.

RESULTS

Compared with the control group, the age, pre-pregnancy weight, body mass index (BMI), and neck circumference were larger in the experimental group (P < 0.05). The experimental group had higher PSQI scores for sleep quality, time to fall asleep score, sleep duration, sleep efficiency, sleep disorder, and daytime dysfunction than the control group (all P < 0.001). Specific analysis of the clinical features of sleep disorders indicated that the experimental group scored higher than the control group (P < 0.05). The analysis of the types of daytime dysfunction showed that the experiment group scored higher in terms of frequently feeling sleepy and lack of energy to do things than the control group (P < 0.05). Analysis of STOP-BANG scores indicated that the proportion of patients with GDM or PGDM having fatigue, hypertension, BMI > 35 kg/m2, and neck circumference > 40 cm was higher than that in the control group (P < 0.05). According to regression analysis, sleep quality of patients with GDM was significantly impacted by the increases in age (OR: 1.243, CI:1.197-1.290), neck circumference (OR: 1.350, CI: 1.234-1.476), PSQI score (OR: 2.124, CI:1.656-2.724), and sleep efficiency score (OR: 3.083, CI:1.534-6.195), whereas that of patients with PGDM was impacted by age (OR: 1.191, CI:1.086-1.305), neck circumference (OR: 1.981, CI: 1.469-2.673), and PSQI score (OR: 7.835, CI: 2.383-25.761).

CONCLUSIONS

Pregnant women with diabetes had poorer sleep quality and a higher risk of developing OSAHS than those without diabetes. There may be some link between sleep quality and the onset of diabetic.

Common sleep disorders in pregnancy: a review

In this review, we provide a comprehensive overview of common sleep disorders during pregnancy, including their characterization, prevalence, risk factors, and possible contribution to maternal and fetal outcomes. We conducted a quasi-systematic literature search of the MEDLINE database and identified 744 studies from 1991 through 2021, inclusive, that met our inclusion criteria. We synthesized the existing literature on sleep disorders during pregnancy and highlighted controversies, research gaps, and needed clinical developments. Our review covers a range of sleep disorders, including insomnia, obstructive sleep apnea, restless legs syndrome, and circadian rhythm disorders. We discuss the prevalence of these disorders in pregnancy and their potential impact on maternal and fetal health outcomes. We also explore the relationship between sleep disorders, pre-pregnancy comorbidities such as obesity, and pregnancy-related conditions such as gestational diabetes mellitus and preeclampsia. In addition to summarizing the existing literature on sleep disorders during pregnancy, we also highlight opportunities for further research in this area. We suggest that future studies should strive to employ validated and objective measurement tools for sleep disorders and prioritize utilization of longitudinal methods with participant follow-up through postpartum, mid-life, menopause, and beyond. We also put forward investigation into the impact of circadian rhythm disruption on reproductive physiology and early pregnancy outcomes as an area of important work. Overall, our review provides valuable insights on sleep and reproduction and into common sleep disorders during pregnancy and their potential impact on maternal and fetal health outcomes.

Poor sleep quality in early pregnancy increases the risk of developing gestational diabetes mellitus: a propensity score matching analysis

PURPOSE

This study aimed to demonstrate the relationship between poor sleep quality in early pregnancy and the risk of developing gestational diabetes mellitus (GDM).

METHODS

We conducted a nested case-control study and performed a 1:3 propensity score (PS) matching to match pregnant women with GDM to women without GDM. After PS matching, logistic regressions were carried out to describe the association between sleep quality (assessed by Pittsburgh Sleep Quality Index [PSQI]) and the risk of GDM. We also performed a second analysis to explore the association in groups divided according to maternal age.

RESULTS

A total of 535 women were enrolled in this study. Of 456 women with complete data, the incidence of GDM was 12.1% (55/456). After PS matching, we found poor sleep quality (PSQI > 5) in early pregnancy was a statistically significant risk factor for GDM (OR 2.03; 95% CI 1.02-4.01; p-value = 0.043). The association of poor sleep quality (PSQI > 5) with GDM was significant among women less than 35 years old (OR 2.72; 95% CI 1.22-6.43; p-value = 0.018) but not among women more than or equal to 35 years old after adjusting for all covariates.

CONCLUSION

Poor sleep quality in early pregnancy is associated with higher risk of developing GDM, especially for women under 35 years old. Screening expectant mothers with sleep problems in the first trimester is suggested.

The association between long-term exposure to outdoor artificial light at night and poor sleep quality among Chinese veterans: A multi-city study

BACKGROUND

A handful of previous studies have reported the association between exposure to outdoor artificial light at night (ALAN) and sleep problems. However, evidence for such association is limited in low- and middle-income countries. This study aimed to examine the association between outdoor ALAN exposure and sleep quality in veterans across different regions of China.

METHODS

Within the network of the Chinese Veteran Clinical Research Platform, we selected 7258 participants from 277 veteran communities in 18 cities across China during December 2009 and December 2011, using a multi-stage stratified cluster sampling strategy. Face-to-face interviews with the participants were conducted by trained investigators. We used the Pittsburgh Sleep Quality Index (PSQI) to assess participants' sleep quality. We defined poor sleep quality as a PSQI global score >7. The 3-year average exposure to outdoor ALAN prior to the baseline interview was calculated using satellite imagery data, according to participants' geolocation information. The association of ALAN exposure with sleep quality was examined using the mixed-effects logistic regression models with natural cubic splines.

RESULTS

The exposure-response curve for sleep quality associated with ALAN exposure was nonlinear, with a threshold value of 49.20 nW/cm2/sr for the 3-year average exposure to outdoor ALAN prior to the baseline interview. Higher ALAN exposure above the threshold was associated with increased risk of poor sleep quality. After adjusting for potential confounders, the odds ratios (and 95%CI, 95% confidence intervals) were 1.15 (0.97, 1.36) and 1.45 (1.17, 1.78) at the 75th and 95th percentiles of ALAN against the threshold. The association of ALAN exposure with poor sleep quality was more pronounced in veterans with depression than those without. Higher OR of poor sleep quality at the 75th percentile of ALAN against the threshold was observed in veterans with depression than those without [2.09 (1.16, 3.76) vs. 1.09 (0.92, 1.30)].

CONCLUSIONS

Long-term exposure to outdoor ALAN was associated with higher risk of poor sleep quality in Chinese veterans. Effective outdoor ALAN management may help to reduce the burden of sleep disorders in Chinese veterans.

Efficacy of cognitive behavioural therapy for insomnia or sleep disturbance in pregnant women: A systematic review ad meta-analysis

During pregnancy many women may experience negative emotions and sleep disturbances. This systematic review and meta-analysis was conducted to assess the efficacy of cognitive behavioural therapy for insomnia (CBT-I) or sleep disturbance in pregnant women. From the earliest available publications to 15 April 2022, seven electronic literature databases were searched: PubMed, Web of Science, Cochrane Library, Embase, Chinese National Knowledge Infrastructure, Wanfang Data, and VIP Database for Chinese Science and Technology Journal. Randomised controlled trials of CBT-I in pregnant women with insomnia or sleep disorders were included. The methodological bias of the included studies was assessed using the Cochrane risk of bias tool. The meta-analysis was performed using RevMan 5.4 software. Stata Statistical Software: Release 15 was used for sensitivity analysis and publication bias. We included eight randomised controlled trials involving 743 pregnant women. Meta-analysis showed that, compared with the control group, CBT-I significantly improved the Insomnia Severity Index (mean difference [MD] = -4.25, 95% confidence interval [CI, -6.32, -2.19], p < 0.001), The Pittsburgh Sleep Quality Index (MD = -3.30, 95% CI [-4.81, -1.79], p < 0.001), sleep onset latency (standardised mean difference [SMD] = -1.25, 95% CI [-2.01, -0.50], p = 0.001), anxiety (SMD = -0.99, 95% CI [-1.32, -0.67], p < 0.001), and depression (SMD = -0.40, 95% CI [-0.72, -0.07], p = 0.02). No significant differences were found in total sleep time (SMD = 0.31, 95% CI [-0.54, 1.17], p = 0.47) and sleep efficiency (SMD = 0.80, 95% CI [-0.53, 2.13], p = 0.24). CBT-I significantly improved pregnant women's sleep quality, insomnia severity, depression, and anxiety. This meta-analysis provides evidence that CBT-I is valid for insomnia or sleep disturbances during pregnancy.

Study on the sleep quality of women pregnant with a second child and the influencing factors

Objectives

To investigate the sleep quality of women pregnant with a second child and the influencing factors and provide a scientific basis for health care guidance to clinically improve the sleep quality of pregnant women.

Methods

A total of 162 women pregnant with a second child at a first-class tertiary hospital in Changsha from January to August 2018 were selected as the research subjects. General demographic characteristics were collected, and the Pittsburgh Sleep Quality Index (PSQI) scale was used to assess their sleep quality. Multivariate logistic regression analysis was used to explore the influencing factors of the sleep quality of women pregnant with a second child.

Results

The PSQI score (except hypnotic drugs) and total score of pregnant women with second birth were higher than those of normal female population, and the difference was statistically significant (P < 0.05). Univariate analysis showed statistically significant differences in sleep quality among women pregnant with a second child of different ages, marital relationships, gender expectations, education levels, monthly family incomes, planned or unplanned pregnancy, and gestational weeks (P < 0.05). The results of the multi-factor analysis showed that the low education level (OR = 0.224, P = 0.001), low family monthly income (OR = 3.035, P = 0.014), expectation of gender (OR = 0.065, P = 0.038), and dissatisfaction with marital relationship (OR = 0.275, P = 0.001) were the primary risk factors of poor sleep quality of in women with second pregnant.

Conclusions

The overall sleep quality of women pregnant with a second child is poor, and 37.65% have sleep quality problems. Low education levels, low family monthly incomes, fetal gender expectations, and poor relationship between husband and wife are the main factors affecting the sleep quality of women pregnant with a second child. Pregnant women with the above factors should pay attention to their sleep quality and take necessary measures for intervention and guidance to improve the level of health care during pregnancy.

Effects of Gestational Sleep Patterns and Their Changes on Maternal Glycemia and Offspring Physical Growth in Early Life

Maternal sleep patterns during pregnancy are drawing increased attention to examine its role in the regulation of maternal glycemia and physical growth of offspring within 24 months. Among 3329 eligible mother−child pairs included in the Shanghai Maternal−Child Pairs Cohort, sleep patterns of pregnant women were assessed by Pittsburgh Sleep Quality Index and objective measurement in early and late pregnancy. Offspring physical growth within 24 months was primarily indicated by the body mass index Z-score (BAZ), catch-up growth, and overweight/obesity. In total, 3329 and 382 pregnant women were included with subjectively assessed and objectively measured sleep pattern, respectively. The increased risk of GDM was associated with maternal night-time sleep duration ≥8.5 h in early pregnancy, or sleep quality change from poor to good during pregnancy (OR = 1.48; 95% CI, 1.06 to 2.07). In the GDM group, the effect of sleep duration in early pregnancy on overweight/obesity in offspring within 24 months showed a U-shaped curve, with a 1.73-fold and 1.43-fold increased risk of overweight/obesity of offspring in pregnant women with <7.5 or ≥8.5 h of sleep duration, respectively. A good gestational sleep pattern was required to reduce the risk of GDM and offspring overweight/obesity within 24 months.

Sleep Deficiency in Pregnancy

Sleep is a critical aspect of one's daily life for overall health, with a recommended 7 to 9 hours in adulthood (ages 26-64). Up to a third of women do not sleep sufficiently, and pregnant women are at an increased risk for sleep deficiency. Throughout pregnancy, sleep is affected in differing ways. For example, in the first trimester, hormones affect sleep cycles, but by the third trimester, physical complaints such as increasing frequent urination and fetal movement create frequent awakenings. Associations between sleep deficiency and gestational diabetes, hypertensive disorders, depression, and some evidence regarding preterm birth exist. A woman's labor course and perception of delivery are also negatively affected by short sleep duration.

Maternal sleep during pregnancy and adverse pregnancy outcomes: a systematic review and meta-analysis

AIM/INTRODUCTION

Sleep problem is an important public health concern worldwide. We conducted a meta-analysis to quantitatively evaluate whether sleep duration associated with pregnancy outcomes, and the associations were modified by important characteristics of studies.

MATERIALS AND METHODS

Basing on PubMed, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL) databases, we searched for the published literature related to maternal sleep duration and adverse pregnancy outcomes before 30 June, 2021. We conducted risk of bias assessment, subgroup analyses and sensitivity analysis. The relative risks (RR) or odds ratios (OR) with 95% confidence intervals (CI) were used to estimate the pooled effects.

RESULTS

5246 references were identified through databases searching, 41 studies were included in the study. Pregnant with short sleep duration had 1.81 times (95% CI 1.35-2.44, P < 0.001) risk of gestational diabetes mellitus (GDM). The association between short sleep duration and the risk of gestational hypertension (GH), cesarean section (CS), low birthweight (LBW), preterm birth (PTB) and small for gestational age (SGA) were not significant (P > 0.05). Furthermore, long sleep duration was significantly correlated with GDM (OR 1.24. 95% CI 1.12-1.36, P < 0.001) and CS (OR 1.13. 95% CI 1.04-1.22, P = 0.004), while long sleep duration was not linked with GH, LBW, PTB and SGA (P > 0.05).

CONCLUSIONS

Short / long sleep duration appeared to be associated with adverse pregnancy outcome, specifically with an increased risk of GDM. Sleep should be systematically screened in the obstetric population.

Impact of sleep patterns upon female neuroendocrinology and reproductive outcomes: a comprehensive review

Sleep is vital to human bodily function. Growing evidence indicates that sleep deprivation, disruption, dysrhythmia, and disorders are associated with impaired reproductive function and poor clinical outcomes in women. These associations are largely mediated by molecular-genetic and hormonal pathways, which are crucial for the complex and time sensitive processes of hormone synthesis/secretion, folliculogenesis, ovulation, fertilization, implantation, and menstruation. Pathologic sleep patterns are closely linked to menstrual irregularity, polycystic ovarian syndrome, premature ovarian insufficiency, sub/infertility, and early pregnancy loss. Measures of success with assisted reproductive technology are also lower among women who engage in shift work, or experience sleep disruption or short sleep duration. Extremes of sleep duration, poor sleep quality, sleep disordered breathing, and shift work are also associated with several harmful conditions in pregnancy, including gestational diabetes and hypertensive disorders. While accumulating evidence implicates pathologic sleep patterns in impaired reproductive function and poor reproductive outcomes, additional research is needed to determine causality and propose therapeutic interventions.

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 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.

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

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.

Machine learning risk score for prediction of gestational diabetes in early pregnancy in Tianjin, China

AIMS

This study aimed to develop a machine learning-based prediction model for gestational diabetes mellitus (GDM) in early pregnancy in Chinese women.

MATERIALS AND METHODS

We used an established population-based prospective cohort of 19,331 pregnant women registered as pregnant before the 15th gestational week in Tianjin, China, from October 2010 to August 2012. The dataset was randomly divided into a training set (70%) and a test set (30%). Risk factors collected at registration were examined and used to construct the prediction model in the training dataset. Machine learning, that is, the extreme gradient boosting (XGBoost) method, was employed to develop the model, while a traditional logistic model was also developed for comparison purposes. In the test dataset, the performance of the developed prediction model was assessed by calibration plots for calibration and area under the receiver operating characteristic curve (AUR) for discrimination.

RESULTS

In total, 1484 (7.6%) women developed GDM. Pre-pregnancy body mass index, maternal age, fasting plasma glucose at registration, and alanine aminotransferase were selected as risk factors. The machine learning XGBoost model-predicted probability of GDM was similar to the observed probability in the test data set, while the logistic model tended to overestimate the risk at the highest risk level (Hosmer-Lemeshow test p value: 0.243 vs. 0.099). The XGBoost model achieved a higher AUR than the logistic model (0.742 vs. 0.663, p < 0.001). This XGBoost model was deployed through a free, publicly available software interface (https://liuhongwei.shinyapps.io/gdm_risk_calculator/).

CONCLUSION

The XGBoost model achieved better performance than the logistic model.

Physical activity and sleep duration during pregnancy have interactive effects on caesarean delivery: a population-based cohort study in Tianjin, China

Background

There were inconsistent findings in the literature regarding the associations of physical activity and sleep duration during pregnancy with caesarean delivery for different reasons. It was also unknown whether physical activity and sleep duration during pregnancy had interactive effects on the risks of different types of caesarean delivery. The study aimed to investigate the effects of physical activity, sleep duration and their interactions on the risk of caesarean delivery for medical reasons and non-medical reasons.

Methods

From October 2010 to August 2012, a prospective population-based cohort of 13,015 pregnant women was established in six central urban districts of Tianjin, China. Pregnancy outcomes were retrieved from an electronic database and caesarean delivery was divided into caesarean delivery for medical reasons and caesarean delivery for non-medical reasons. Physical activity and sleep status were collected at 24–28 weeks of gestation using self-reported questionnaires. Logistic regression and additive interaction were used to examine physical activity, sleep duration and their interactive effects on risk of caesarean delivery.

Results

In the cohort, 5692 (43.7%) and 2641 (20.3%) of women had caesarean delivery for medical reasons and non-medical reasons, respectively. Low physical activity increased the risk of caesarean delivery for medical reasons (adjusted OR: 1.13, 95%CI 1.04–1.23) but not caesarean delivery for non-medical reasons. Sleep duration < 7 h/day and poor sleep quality were not associated with caesarean delivery. Sleep duration ≥9 h/day increased the risk of caesarean delivery for medical reasons (1.12, 1.02–1.22) and caesarean delivery for non-medical reasons (1.16, 1.05–1.29). Co-presence of low physical activity and sleep duration ≥9 h/day increased risk of caesarean delivery (1.25, 1.12–1.41), and their additive interaction was statistically significant for caesarean delivery for medical reasons but not for caesarean delivery for non-medical reasons.

Conclusions

Low physical activity and excessive sleep duration during pregnancy each increased the risk of caesarean delivery, and they had an interactive effect on the risk of caesarean delivery for medical reasons but not on the risk of caesarean delivery for non-medical reasons. Increasing physical activity and maintaining recommended sleep duration during pregnancy may have benefits for perinatal health.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-021-03788-4.

Effects of sleep duration and sleep quality in early pregnancy and their interaction on gestational diabetes mellitus

PURPOSE

To examine the association of sleep duration and quality in early pregnancy with gestational diabetes mellitus (GDM), and explore their interaction effect on GDM.

METHODS

Participants from 2 hospitals were enrolled in this case-control study between April 2018 and November 2020. Sleep duration and quality were measured using the Pittsburg Sleep Quality Index (PSQI).

RESULTS

A total of 1300 participants (396 GDM and 904 controls) were included. After adjusting for potential confounders, higher global PSQI scores or poor sleep quality were associated with GDM with odds ratios of 1.13 (95% CI 1.07, 1.19, p < 0.001) and 1.75 (95% CI 1.29, 2.38, p < 0.001), respectively; sleep duration < 7 h, 9-9.9 h and ≥ 10 h were all associated with increased GDM with odds ratios of 4.28 (95% CI 2.51, 7.31, p < 0.001), 1.69 (95% CI 1.20, 2.39, p = 0.003), and 4.42 (95% CI 3.01, 6.50, p < 0.001), respectively. In the stratified analysis based on sleep duration, the effect of poor sleep quality on GDM in the < 7 h group (OR 5.47, 95% CI 2.57, 11.64, p < 0.001) was much stronger than that in the 7-8.9 h group (OR 1.24, 95% CI 0.81, 1.91, p = 0.327), and the p value of the interaction was 0.011.

CONCLUSIONS

Poor sleep quality and short or long sleep duration in early pregnancy were all associated with GDM, and an interaction effect between short sleep duration and poor sleep quality on GDM was noted.

Pregnancy-induced changes in β-cell function: what are the key players?

Maternal metabolic adaptations during pregnancy ensure appropriate nutrient supply to the developing fetus. This is facilitated by reductions in maternal peripheral insulin sensitivity, which enables glucose to be available in the maternal circulation for transfer to the fetus for growth. To balance this process and avoid excessive hyperglycaemia and glucose intolerance in the mother during pregnancy, maternal pancreatic β-cells undergo remarkable changes in their function including increasing their proliferation and glucose-stimulated insulin secretion. In this review we examine how placental and maternal hormones work cooperatively to activate several signalling pathways, transcription factors and epigenetic regulators to drive adaptations in β-cell function during pregnancy. We also explore how adverse maternal environmental conditions, including malnutrition, obesity, circadian rhythm disruption and environmental pollutants, may impact the endocrine and molecular mechanisms controlling β-cell adaptations during pregnancy. The available data from human and experimental animal studies highlight the need to better understand how maternal β-cells integrate the various environmental, metabolic and endocrine cues and thereby determine appropriate β-cell adaptation during gestation. In doing so, these studies may identify targetable pathways that could be used to prevent not only the development of pregnancy complications like gestational diabetes that impact maternal and fetal wellbeing, but also more generally the pathogenesis of other metabolic conditions like type 2 diabetes.

Sleep disturbances during pregnancy and adverse maternal and fetal outcomes: A systematic review and meta-analysis

Sleep disturbances are highly prevalent in pregnancy and are frequently overlooked as a potential cause of significant morbidity. The association between sleep disturbances and pregnancy outcomes remains largely controversial and needs to be clarified to guide management. To evaluate the association between sleep disturbances and maternal complications and adverse fetal outcomes, we performed a systematic search of PubMed, Embase and Web of Science for English-language articles published from inception to March 6, 2020, including observational studies of pregnant women with and without sleep disturbances assessing the risk of obstetric complications in the antenatal, intrapartum or postnatal period, and neonatal complications. Data extraction was completed independently by two reviewers. We utilized the Newcastle-Ottawa Scales to assess the methodological quality of included studies and random-effect models to pool the associations. A total of 120 studies with 58,123,250 pregnant women were included. Sleep disturbances were assessed, including poor sleep quality, extreme sleep duration, insomnia symptoms, restless legs syndrome, subjective sleep-disordered breathing and diagnosed obstructive sleep apnea. Significant associations were found between sleep disturbances in pregnancy and a variety of maternal complications and adverse fetal outcomes. Overall sleep disturbances were significantly associated with pre-eclampsia (odds ratio = 2.80, 95% confidence interval: 2.38-3.30), gestational hypertension (1.74, 1.54-1.97), gestational diabetes mellitus (1.59, 1.45-1.76), cesarean section (1.47, 1.31-1.64), preterm birth (1.38, 1.26-1.51), large for gestational age (1.40, 1.11-1.77), and stillbirth (1.25, 1.08-1.45), but not small for gestational age (1.03, 0.92-1.16), or low birth weight (1.27, 0.98-1.64). Sleep disturbances were related to higher morbidities in pregnant women who are 30 y or older and overweight before pregnancy. The findings indicate that sleep disturbances, which are easily ignored and treatable for both pregnant women and clinical services, deserve more attention from health care providers during prenatal counseling and health care services.

Association Between Nausea and Vomiting During Pregnancy and Sleep Quality: Mediating Effect of Depressive Symptoms

Purpose

Nausea and vomiting during pregnancy (NVP) of varying degrees of severity are commonly experienced by pregnant women. This paper explores the association between NVP and poor sleep quality.

Patients and Methods

A cross-sectional study was conducted in an obstetrics clinic. A total of 2494 pregnant women (representing a response rate of 92.7%) completed a self-administered questionnaire.

Results

Of the 2494 participants, the mean sleep duration was 7.76 hours, and 54.3% of them report poor sleep quality (ie, a Pittsburgh Sleep Quality Index global score > 5). In this study, 49.1%, 49.3% and 1.6% women reported mild, moderate, and severe NVP, respectively. Compare with women with mild NVP, women with moderate or severe NVP were more likely to report poor sleep quality (χ ² = 30.16, p < 0.001). After adjusted for demographics and gestational age, moderate and severe NVP were associated with poor sleep quality (adjusted odds ratio (AOR) = 1.66, 95% confidence interval (CI) = 1.40-1.96, and AOR = 2.95, 95% CI = 1.44-6.02, respectively). Moreover, depressive symptoms mediated the association between NVP and poor sleep quality (β = 0.060, p = 0.033, 95% CI = 0.028-0.180).

Conclusion

Our study suggested that moderate and severe NVP increase the risk of poor sleep quality. Further studies are warranted that focus on the mechanisms of the association between NVP and poor sleep quality.

Prevalence of and Risk Factors for Poor Sleep During Different Trimesters of Pregnancy Among Women in China: A Cross-Sectional Study

BACKGROUND

The management of poor sleep during pregnancy is important for maternal and foetal health. The aim of the present study was to investigate the prevalence of poor sleep quality and risk factors for poor sleep during different trimesters of pregnancy for better management of sleep during pregnancy.

METHODS

A cross-sectional study was conducted among pregnant women in Foshan Women's and Children's Hospital. In total, 2281 pregnant women were analysed, and the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Cluster logistic regression was used to analyse the risk factors for poor sleep among all participants, and logistic regression models were built to identify potential risk factors for poor sleep quality in different trimesters of pregnancy.

RESULTS

Over half of the participants reported poor sleep quality (51.8%). The rate of poor sleep was lowest in the second trimester. Women who were unmarried had >12 years of education, exercised <3 days/week, were in the third trimester, had a high level of nausea and vomiting during pregnancy (NVP) and had a history of infertility had a higher risk of poor sleep. Pregnancy-related factors contributed most to poor sleep. In the first trimester, the main risk factors for poor sleep were a history of infertility and a high level of NVP. In the second trimester, only a high level of NVP was a risk factor for poor sleep. In the last trimester, the risk factors for poor sleep were more education years, exercise <3 days/week and high levels of NVP.

CONCLUSION

The prevalence and risk factors for poor sleep were different in different trimesters. Clinicians should screen and address poor sleep prior to the first and, especially, the third trimester of pregnancy. Management of poor sleep should be consistent throughout pregnancy and be adjusted in different trimesters.

Association between sleep duration in early pregnancy and risk of gestational diabetes mellitus: a prospective cohort study

AIMS

As cohort studies of the impact of sleep duration during early pregnancy on gestational diabetes mellitus (GDM) are lacking, our study aimed to explore the association between sleep duration in the first trimester and GDM in one region of mainland China.

METHODS

For this prospective cohort study, sleep duration data were collected from 3692 pregnant women at the first prenatal care appointment before 14 weeks of gestation. Multivariable log-binomial regression models were used to analyze the association of sleep duration with GDM after adjusting for demographic characteristics, health status (such as family history of diabetes, history of GDM, prepregnancy body mass index, gestational weight gain) and lifestyle habits (such as physical activity, dietary intakes).

RESULTS

Our cohort included 166 (4.5%) short sleepers and 505 (14%) long sleepers. Shorter sleep duration was more likely to be observed in women aged ≥35 years who were multiparous, and had previous pregnancy, insufficient gestational weight gain, engaged in more vigorous physical activity, drank alcohol, were vegan and/or never took folic-acid supplements. Compared with normal sleepers (29%), the prevalence of GDM was significantly higher in short sleepers (38%; P = 0.01), but not in long sleepers (31%; P = 0.224). In the multivariable model, women with short sleep durations during early pregnancy had a 32% greater risk of GDM [adjusted risk ratio (aRR): 1.32, 95% CI: 1.06-1.63], whereas long sleepers did not (aRR: 1.09, 95% CI: 0.94-1.26).

CONCLUSION

Short sleep duration during early pregnancy is associated with an increased risk of GDM. This suggests that more attention should be paid to controlling the development of GDM in pregnant women with insufficient sleep.

The effect of sleep impairment on gestational diabetes mellitus: a systematic review and meta-analysis of cohort studies

OBJECTIVE

This systematic review and meta-analysis evaluated the influence of sleep duration or impairment (poor sleep quality, snoring, and obstructive sleep apnea [OSA]) on gestational diabetes mellitus (GDM) risk.

METHODS

PubMed, Embase, EBSCO, and WOS databases were searched up to March 4th, 2019. Cohort studies were included and relative risk (RR) with 95% confidence interval (CI) were used as the measure of effects. Heterogeneity was assessed by the Chi-squared and I² tests. Subgroup analyses, sensitivity analysis, and dose-response analysis were performed. The overall quality of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.

RESULTS

A total of 16 studies with 2,551,017 pregnant women and 142,103 GDM cases were included in this study. Both short and long sleep duration were associated with increased risk of GDM. There was a U-shaped relationship between sleep duration and GDM risk (P_{-nonlinearity} < 0.001), and pregnant women with 8 h of sleep presented lower GDM risk. Poor sleep quality, snoring and OSA also increased the subsequent risk of GDM.

CONCLUSIONS

Pregnant women should be made aware of the benefits of proper sleep, and those with poor sleep quality, snoring, and OSA should be screened for GDM.

Development and validation of an early pregnancy risk score for the prediction of gestational diabetes mellitus in Chinese pregnant women

OBJECTIVE

To develop and validate a set of risk scores for the prediction of gestational diabetes mellitus (GDM) before the 15th gestational week using an established population-based prospective cohort.

METHODS

From October 2010 to August 2012, 19 331 eligible pregnant women were registered in the three-tiered antenatal care network in Tianjin, China, to receive their antenatal care and a two-step GDM screening. The whole dataset was randomly divided into a training dataset (for development of the risk score) and a test dataset (for validation of performance of the risk score). Logistic regression was performed to obtain coefficients of selected predictors for GDM in the training dataset. Calibration was estimated using Hosmer-Lemeshow test, while discrimination was checked using area under the receiver operating characteristic curve (AUC) in the test dataset.

RESULTS

In the training dataset (total=12 887, GDM=979 or 7.6%), two risk scores were developed, one only including predictors collected at the first antenatal care visit for early prediction of GDM, like maternal age, body mass index, height, family history of diabetes, systolic blood pressure, and alanine aminotransferase; and the other also including predictors collected during pregnancy, that is, at the time of GDM screening, like physical activity, sitting time at home, passive smoking, and weight gain, for maximum performance. In the test dataset (total=6444, GDM=506 or 7.9%), the calibrations of both risk scores were acceptable (both p for Hosmer-Lemeshow test >0.25). The AUCs of the first and second risk scores were 0.710 (95% CI: 0.680 to 0.741) and 0.712 (95% CI: 0.682 to 0.743), respectively (p for difference: 0.9273).

CONCLUSION

Both developed risk scores had adequate performance for the prediction of GDM in Chinese pregnant women in Tianjin, China. Further validations are needed to evaluate their performance in other populations and using different methods to identify GDM cases.

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

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.

Higher thyroid-stimulating hormone levels in the first trimester are associated with gestational diabetes in a Chinese population

AIM

To evaluate the relationship between maternal thyroid-stimulating hormone levels during the first trimester and gestational diabetes risk.

METHODS

In Tianjin, China, 7258 women underwent a thyroid-stimulating hormone screening test within 12 gestational weeks and then had a glucose challenge test at 24-28 weeks of gestational age. The women with a glucose challenge test ≥7.8 mmol/l underwent a 75 g oral glucose tolerance test. Gestational diabetes was diagnosed following International Association of Diabetes and Pregnancy Study Group criteria. Restricted cubic spline analysis was performed to explore full-range risk associations of thyroid-stimulating hormone levels with gestational diabetes. Logistic regression was performed to obtain odds ratios and 95% confidence intervals.

RESULTS

In all, 594 women (8.2%) had gestational diabetes. Among women with thyroid-stimulating hormone ≤3.2 mIU/l, a positive association between thyroid-stimulating hormone levels and gestational diabetes risk was found (adjusted OR: 1.13, 95% CI: 1.00-1.27). There was no relationship between thyroid-stimulating hormone levels and gestational diabetes risk in univariable and multivariable analyses among women with thyroid-stimulating hormone >3.2 mIU/l. In subgroup analyses, among women with thyroid-stimulating hormone ≤3.2 mIU/l and BMI ≥25 kg/m² , the adjusted odds ratio for thyroid-stimulating hormone levels with gestational diabetes was enhanced to 1.25 (95% CI: 1.02-1.53).

CONCLUSIONS

In pregnant Chinese women, thyroid-stimulating hormone levels even within normal range in the first trimester were positively related to gestational diabetes risk, especially for pre-pregnancy overweight/obese women.

Sleep in Pregnancy and Maternal Hyperglycemia: a Narrative Review

PURPOSE OF REVIEW

Prevalence of gestational diabetes is increasing globally and sleep may be a modifiable lifestyle factor associated with it. However, existing findings have been inconsistent.

RECENT FINDINGS

Majority of studies reviewed found a link between extreme sleep durations and elevated risk of maternal hyperglycemia. The findings with sleep-disordered breathing are less consistent. Methodological differences across studies, in terms of sleep assessment methods (subjective vs. objective), study population (low vs. high risk), classification of gestational diabetes and sleep problems, may have contributed to the inconsistent findings. Some studies also suggest the possibility of trimester-specific association between sleep and maternal hyperglycemia. Large-scale prospective studies comprising objective measurements of sleep, preferably over three trimesters and preconception, are needed to better evaluate the relationship between sleep and maternal hyperglycemia.

Delayed Lactogenesis II is Associated With Lower Sleep Efficiency and Greater Variation in Nightly Sleep Duration in the Third Trimester

BACKGROUND

Metabolic and hormonal disturbances are associated with sleep disturbances and delayed onset of lactogenesis II.

RESEARCH AIMS

The aim of this study was to measure sleep using wrist actigraphy during gestation weeks 22 and 32 to determine if sleep characteristics were associated with blood glucose, body mass index, gestational related disease, delayed onset of lactogenesis II, or work schedule.

METHODS

Demographic data were collected at study intake from primiparous women who wore a wrist actigraph during gestation weeks 22 (n = 50) and 32 (n = 44). Start and end sleep time, total nighttime sleep, sleep efficiency, wake after sleep onset, and sleep fragmentation were measured. Night to night variability was assessed with the root mean square of successive difference. Blood glucose levels, body mass index, and gestational disease data were abstracted from medical charts. Timing of lactogenesis II was determined by survey.

RESULTS

Between gestation week 22 and 32, sleep efficiency decreased and fragmentation increased (p < .05). During gestation week 32, blood glucose was negatively correlated with sleep duration, and positively related to fragmentation (p < .05). Women who experienced delayed lactogenesis II had lower sleep efficiency and greater fragmentation (p < .05), and greater night-to-night variability in sleep start and end time, efficiency, and duration during gestation week 32 (p < .05).

CONCLUSION

Women with better sleep efficiency and more stable nightly sleep time are less likely to experience delayed onset of lactogenesis II. Interventions to improve sleep may improve maternal health and breastfeeding adequacy.

Effect of residential exposure to green space on maternal blood glucose levels, impaired glucose tolerance, and gestational diabetes mellitus

BACKGROUND

Residential surrounding green spaces can affect human health. However, limited studies have examined their impacts on maternal blood glucose homeostasis outcomes.

OBJECTIVE

We examined the associations of residential exposure to green space with maternal blood glucose levels, gestational impaired glucose tolerance (IGT), and gestational diabetes mellitus (GDM).

METHODS

Pregnant women were recruited from a prospective birth cohort between October 2012 and September 2015. Exposure to green space was calculated as the mean value of the normalized difference vegetation index (NDVI) within a 300-m circular buffer area surrounding each residence. Maternal glucose was measured between 24 and 28 weeks of gestation, and gestational IGT and GDM were diagnosed using valid methods. We estimated the associations of residential NDVI with maternal glucose levels using multiple linear regression models with adjustment for age, education, BMI, passive smoking during pregnancy, parity, season of conception, income, and urbancity. We estimated the relative risks of residential NDVI with IGT and GDM using a generalized estimating equation model with modified Poisson regression. The mediation effects of residential exposure to air pollution and maternal physical activity were assessed using causal mediation analysis.

RESULTS

Of 6807 pregnant women, 751 (11.3%) and 604 (8.8%) were diagnosed with IGT and GDM, respectively. One SD increment of residential NDVI was associated with a decrease of 0.06 mmol/L (95% CI: -0.07, -0.05), 0.09 mmol/L (95% CI: -0.13, -0.05), and 0.06 mmol/L (95% CI: -0.09, -0.03) in maternal fasting glucose levels, 1-h glucose levels, and 2-h glucose levels, respectively, as well as reduced risks of incident IGT (RR: 0.92, 95% CI: 0.86, 0.99) and GDM (RR: 0.85, 95% CI: 0.79, 0.92). The association between residential NDVI and maternal fasting glucose levels was partly mediated by maternal exposure to PM_2.5.

CONCLUSION

Living with higher levels of green space was significantly associated with decreased maternal glucose levels and attenuated risks of incident maternal IGT and GDM. Our findings provide evidence linking green space to better maternal glucose outcomes. More studies are needed to further explore the maternal and child health benefits related to our findings.

Exploring associations of maternal sleep during periconceptional period with congenital heart disease in offspring

Background

In general, the existing evidence points to a role for maternal sleep in pregnancy complications and fetal growth, however, little has been focused on birth defects. We aimed to explore the association between periconceptional poor sleep and the risk of congenital heart disease (CHD), and to examine if daytime napping could to some extent change the association.

Methods

A case–control study was conducted in Shanghai Children's Medical Center, in which, a total of 524 cases (262 simple CHD vs. 262 severe CHD), along with 262 controls.

Results

In the multivariable logistic analysis, poor sleep could increase the risk of both simple CHD (OR = 2.486, 95% CI = 1.619–3.818) and severe CHD (OR = 1.950, 95% CI = 1.269–2.997), while routine daytime nap could decrease risk of simple CHD (OR = 0.634, 95% CI = 0.435–0.923). In the stratified analysis, the concurrence with routine daytime nap could weaken the risk of simple CHD caused by poor sleep (OR = 3.183, 95% CI: 1.830–5.537 decreased to OR = 2.236, 95% CI: 1.200–4.165). The examinations were repeated in ventricular septal defect and tetralogy of Fallot, and the established associations can be verified. Moreover, all these findings were also similarly observed in both propensity‐score‐adjusted and propensity‐score‐matched analyses.

Conclusions

Poor maternal sleep around periconceptional period seems to be an independent risk factor for CHD. The concurrence with daytime nap could to some extent reduce the risk in simple CHD. The results individually and collectively put forward the importance of maternal sleep in embryonic heart development.

Association of Adverse Pregnancy Outcomes With Self-Reported Measures of Sleep Duration and Timing in Women Who Are Nulliparous

STUDY OBJECTIVES

To examine the relationship of self-reported sleep during pregnancy with adverse pregnancy outcomes. A secondary objective was to describe the concordance between self-reported and objectively assessed sleep during pregnancy.

METHODS

In this prospective cohort, women completed a survey of sleep patterns at 6 to 13 weeks' gestation (visit 1) and again at 22 to 29 weeks' gestation (visit 3). Additionally, at 16 to 21 weeks (visit 2), a subgroup completed a week-long sleep diary coincident with an actigraphy recording. Weekly averages of self-reported sleep duration and sleep midpoint were calculated. A priori, sleep duration < 7 hours was defined as "short," and sleep midpoint after 5:00 AM was defined as "late." The relationship of these sleep abnormalities with hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM) was determined.

RESULTS

Of the 10,038 women enrolled, sleep survey data were available for 7,524 women at visit 1 and 7,668 women at visit 3. A total of 752 women also provided ≥ 5 days of sleep diary data coincident with actigraphy at visit 2. We did not observe any consistent relationship between self-reported short sleep and HDP or GDM. There was an association between self-reported late sleep midpoint and GDM (visit 1 adjusted odds ratio 1.67, 95% confidence interval 1.17, 2.38; visit 2 adjusted odds ratio 1.73, 95% confidence interval 1.23, 2.43). At visit 2, 77.1% of participants had concordance between their diary and actigraphy for short sleep duration, whereas 94.3% were concordant for sleep midpoint.

CONCLUSIONS

Self-reported sleep midpoint, which is more accurate than self-reported sleep duration, is associated with the risk of GDM.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov, Title: Pregnancy as a Window to Future Cardiovascular Health: Adverse Pregnancy Outcomes as Predictors of Increased Risk Factors for Cardiovascular Disease, Identifier: NCT02231398, URL: https://clinicaltrials.gov/ct2/show/NCT02231398.

Relationship Between Sleep Quality, Depression Symptoms, and Blood Glucose in Pregnant Women

Sleep quality during pregnancy affects maternal/child health. We aimed to assess changes in sleep quality during pregnancy and determine its relationship to maternal mood, blood glucose, and work schedule among primiparous women. We conducted a prospective/longitudinal/observational study. Ninety-two pregnant women were recruited from Midwestern hospital. Mood and sleep quality data were collected using Edinburgh Postnatal Depression Scale/Pittsburgh Sleep Quality Index at Gestational Weeks 22 and 32. Forty-three women completed the study. Twenty-six women (63%) were African American and the mean age was 23.64 ( SD = 3.82) years. Rate of poor sleep quality increased during pregnancy with 25% of women had scores indicative of depression symptoms. Poor sleep quality score was related to mood scores ( p < .05) and work schedule. Blood glucose was not significantly related to sleep duration. In conclusion, poor sleep quality during pregnancy was associated with poor mood and work schedule, suggesting that interventions targeting mental health and lifestyles are needed.

Association between sleep duration during pregnancy and gestational diabetes mellitus: a meta-analysis

OBJECTIVE

Sleep is critical for glucose metabolism. Pregnant women often have sleep disturbances and extreme sleep duration. Investigations of the relationship between sleep duration during pregnancy and gestational diabetes mellitus (GDM) have reported inconsistent results. The present study aimed to meta-analyze the relationship between sleep duration during pregnancy and GDM risk.

METHODS

We performed a systematic search of the PubMed, ISI Web of Science, and PsycINFO databases for studies that were published up to October 2017, that reported associations between sleep duration during pregnancy and GDM risk. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated as the effect sizes for all studies. Heterogeneity and potential publication biases were assessed.

RESULTS

A total of 4366 papers were retrieved, among which seven studies assessed the relationship between sleep duration during pregnancy and GDM development. The seven articles included 18,203 subjects at baseline and 1294 GDM cases during follow-up. Compared to normal sleep duration, extreme sleep duration during early and middle pregnant stages had a close relationship with GDM based upon pooled data from prospective and cross-sectional studies. Prospective results showed that long sleep duration during pregnancy was a risk factor for GDM, but not short sleep duration. Publication biases were found when analyzing the relationship between extreme sleep duration and GDM.

CONCLUSIONS

Extreme sleep duration during pregnancy is closely associated with GDM. Moreover, long but not short sleep duration can predict the risk of developing GDM. These findings remind us of the importance of sleep duration control during pregnancy and help optimize early strategies for the prevention of GDM.

Poor sleep during early pregnancy increases subsequent risk of gestational diabetes mellitus

OBJECTIVES

To examine the relationship between poor sleep quality during pregnancy and the risk of gestational diabetes mellitus (GDM).

METHODS

A total of 4066 singleton pregnant women from the Tongji Maternal and Child Health Cohort (TMCHC) without overt diabetes before pregnancy were analyzed. Sleep quality and duration during early pregnancy were self-reported by enrolled women at their first antenatal care visit before 16 weeks of gestation. Gestational diabetes mellitus (GDM) was assessed with a 75-g, 2-h oral glucose tolerance test at 24-28 weeks of gestation. Information about self-reported sleep quality and duration in mid-pregnancy were also collected at this time. Odds ratios (OR) and 95% CIs were calculated by multivariable logistic regression models, and adjusted for potential confounders to estimate the effect of poor sleep quality and the interaction between sleep quality and duration on the development of GDM. Stratified analyses were performed according to age, parity, family history of diabetes and napping.

RESULTS

A total of 335 (8.2%) participants were diagnosed with GDM. Poor sleep quality was reported in 259 (6.4%) women during early pregnancy and 248 (6.1%) in mid-pregnancy. The risk of GDM was increased in women with poor sleep quality during early pregnancy (OR 1.77, 95% CI 1.20-2.61). No association was found between poor sleep quality during mid-pregnancy and the risk of GDM. The risk of GDM was highest in women with poor sleep and longer nighttime sleep duration during early pregnancy (OR 2.27, 95% CI 1.20-4.29) when compared with those who reported good sleep and 7.0-8.5 h of sleep duration per night. Stratified analysis found that the association between poor sleep quality in early pregnancy and the risk of GDM was stronger among women aged ≥30 years (OR 2.35, 95% CI 1.35-4.09) and those with a family history of diabetes (OR 4.02, 95% CI 1.54-10.48).

CONCLUSIONS

Poor sleep quality during early pregnancy was associated with an increased risk of GDM. Screening for and treating sleep problems in early pregnancy could potentially reduce the risk of GDM.

The role of sleep duration and sleep disordered breathing in gestational diabetes mellitus

Many women experience sleep problems during pregnancy. This includes difficulty initiating and maintaining sleep due to physiologic changes that occur as pregnancy progresses, as well as increased symptoms of sleep-disordered breathing (SDB). Growing evidence indicates that sleep deficiency alters glucose metabolism and increases risk of diabetes. Poor sleep may exacerbate the progressive increase in insulin resistance that normally occurs during pregnancy, thus contributing to the development of maternal hyperglycemia. Here, we critically review evidence that exposure to short sleep duration or SDB during pregnancy is associated with gestational diabetes mellitus (GDM). Several studies have found that the frequency of GDM is higher in women exposed to short sleep compared with longer sleep durations. Despite mixed evidence regarding whether symptoms of SDB (e.g., frequent snoring) are associated with GDM after adjusting for BMI or obesity, it has been shown that clinically-diagnosed SDB is prospectively associated with GDM. There are multiple mechanisms that may link sleep deprivation and SDB with insulin resistance, including increased levels of oxidative stress, inflammation, sympathetic activity, and cortisol. Despite emerging evidence that sleep deficiency and SDB are associated with increased risk of GDM, it has yet to be demonstrated that improving sleep in pregnant women (e.g., by extending sleep duration or treating SDB) protects against the development of hyperglycemia. If a causal relationship can be established, behavioral therapies for improving sleep can potentially be used to reduce the risk and burden of GDM.

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Many pregnant women experience reduced sleep or sleep-disordered breathing.

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Growing evidence suggests that short sleep is associated with gestational diabetes.

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Sleep-disordered breathing may increase risk of gestational diabetes.

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Poor sleep during pregnancy may promote mechanisms linked with insulin resistance.

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Future studies should test if improving sleep reduces risk of gestational diabetes.