Dataset Information

Sleep Disparities Across Pregnancy: A Michigan Cohort Study.

ABSTRACT:

Introduction

Poor sleep health during pregnancy is related to adverse pregnancy outcomes. This study aims to identify sociodemographic characteristics associated with sleep health during pregnancy and to examine how they relate to changes in sleep during pregnancy.

Materials and methods

Participants (n = 458) were from the Michigan Archive for Research on Child Health, which is a prospective pregnancy cohort. Sociodemographic characteristics and self-reported sleep timing and quality were collected in phone interviews. This longitudinal study collected sleep parameters once during the early trimesters and once during the third trimester. Fall asleep and wake-up times were used to calculate sleep duration and sleep midpoint.

Results

Compared to the third trimester, sleep duration was 12 minutes longer (p = 0.02), fall asleep time was 21 minutes earlier (p < 0.001), and the midpoint of sleep was 12 minutes earlier (p = 0.01) in early trimesters. Shorter sleep duration was noted in younger women. Sleep midpoint was later in those who were younger, overweight, or obese, racial minorities, unmarried, and with lower educational levels or socioeconomic status, and who smoked before pregnancy after adjusting for covariates. After controlling for confounders, women who were not working for pay had higher likelihood of reduced sleep duration, and women who were unmarried were more likely to have a delayed sleep midpoint in the third trimester compared to the early trimesters.

Conclusions

This study suggests that sleep parameters changed during pregnancy and sleep health differed by sociodemographic characteristics. Understanding sleep disparities could help with early detection of at-risk populations during prenatal care.

SUBMITTER: Yang CL

PROVIDER: S-EPMC10210214 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Sleep Disparities Across Pregnancy: A Michigan Cohort Study.

Yang Chia-Lun CL Jansen Erica C EC Dunietz Galit Levi GL Hirko Kelly K O'Brien Louise M LM Kerver Jean M JM

Women's health reports (New Rochelle, N.Y.) 20230515 1

<h4>Introduction</h4>Poor sleep health during pregnancy is related to adverse pregnancy outcomes. This study aims to identify sociodemographic characteristics associated with sleep health during pregnancy and to examine how they relate to changes in sleep during pregnancy.<h4>Materials and methods</h4>Participants (<i>n</i> = 458) were from the Michigan Archive for Research on Child Health, which is a prospective pregnancy cohort. Sociodemographic characteristics and self-reported sleep timing a ...[more]

PMID: 37252253

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Project description:BackgroundGestational weight gain (GWG) has important health implications for both the mother and offspring. Maternal diet during pregnancy may play an important role in achieving adequate GWG, although its precise role is unclear.ObjectivesAssociations between maternal dietary components (fruits and vegetables, added sugar, percentage energy from fat, dairy) and GWG were examined in 327 pregnant women from the Archive for Research on Child Health cohort.MethodsSelf-reported usual dietary intake was assessed with validated dietary screening tools at the first prenatal visit. GWG was obtained from the birth certificate and was categorized as inadequate, adequate, or excessive according to the Institute of Medicine recommendations. Associations between dietary components and GWG were assessed using multivariable regression models, stratified by maternal prepregnancy BMI category.ResultsOnly 31.5% of women had adequate GWG, with 24.8% gaining insufficient weight and 43.7% gaining excessively. Women who consumed more fruits and vegetables were suggestively less likely to have excessive GWG (OR: 0.86; 95% CI: 0.75, 1.00) in the minimally adjusted model, but the association became nonsignificant after adjusting for covariates (OR: 0.89; 95% CI: 0.77, 1.03). In stratified models, higher fruit and vegetable intake was linked to lower likelihood of excessive GWG among women with obesity (OR: 0.77; 95% CI: 0.60, 0.97), whereas higher added sugar intake was linked to a slight reduction in likelihood of excessive GWG (OR: 0.91; 95% CI: 0.84, 0.99) among women with a prepregnancy BMI in the normal range. Other dietary components were not significantly associated with GWG.ConclusionsThese results suggest that consuming fruits and vegetables during pregnancy may reduce risk of excessive GWG among women with obesity. With the rising prevalence of obesity among women of reproductive age, interventions to increase fruit and vegetable intake during pregnancy may have broad public health impact by improving maternal and child health outcomes.

Project description:ObjectiveTo assess the frequency of obstructive sleep apnoea among women with and without hypertensive disorders of pregnancy.DesignCohort study.SettingObstetric clinics at an academic medical centre.PopulationPregnant women with hypertensive disorders (chronic hypertension, gestational hypertension, or pre-eclampsia) and women who were normotensive.MethodsWomen completed a questionnaire about habitual snoring and underwent overnight ambulatory polysomnography.Main outcome measuresThe presence and severity of obstructive sleep apnoea.ResultsObstructive sleep apnoea was found among 21 of 51 women with hypertensive disorders (41%), but in only three of 16 women who were normotensive (19%, chi-square test, P=0.005). [Author correction added on 16 June 2014, after first online publication: Results mentioned in the abstract were amended.] Non-snoring women with hypertensive disorders typically had mild obstructive sleep apnoea, but >25% of snoring women with hypertensive disorders had moderate to severe obstructive sleep apnoea. Among women with hypertensive disorders, the mean apnoea/hypopnoea index was substantially higher in snorers than in non-snorers (19.9±34.1 versus 3.4±3.1, P=0.013), and the oxyhaemoglobin saturation nadir was significantly lower (86.4±6.6 versus 90.2±3.5, P=0.021). Among women with hypertensive disorders, after stratification by obesity, the pooled relative risk for obstructive sleep apnoea in snoring women with hypertension compared with non-snoring women with hypertension was 2.0 (95% CI 1.4-2.8).ConclusionsPregnant women with hypertension are at high risk for unrecognised obstructive sleep apnoea. Although longitudinal and intervention studies are urgently needed, given the known relationship between obstructive sleep apnoea and hypertension in the general population, it would seem pertinent that hypertensive pregnant women who snore should be tested for obstructive sleep apnoea, a condition believed to cause or promote hypertension.

Project description:Little is understood about the roles of mitochondria in pregnancy-related adaptations. Therefore, we evaluated associations of maternal early-to-mid pregnancy mitochondrial DNA copy number (mtDNAcn) and mtDNA methylation with birth size and gestational length. Michigan women (n = 396) provided venous bloodspots at median 11 weeks gestation to quantify mtDNAcn marker NADH-ubiquinone oxidoreductase chain 1 (ND1) using real-time quantitative PCR and mtDNA methylation at several regions within four mitochondria-specific genes using pyrosequencing: MTTF (mitochondrially encoded tRNA phenylalanine), DLOOP (D-loop promoter region, heavy strand), CYTB (cytochrome b), and LDLR (D-loop promoter region, light strand). We abstracted gestational length and birthweight from birth certificates and calculated birthweight z-scores using published references. We used multivariable linear regression to evaluate associations of mtDNAcn and mtDNA methylation with birthweight and birthweight z-scores. Cox Proportional Hazards Models (PHMs) and quantile regression characterized associations of mitochondrial measures with gestational length. We also considered differences by fetal sex. Using linear regression and Cox PHMs, mtDNAcn was not associated with birth outcomes, whereas associations of mtDNA methylation with birth outcomes were inconsistent. However, using quantile regression, mtDNAcn was associated with shorter gestation in female newborns at the upper quantiles of gestational length, but with longer gestational length in males at the lower quantiles of gestational length. Maternal LDLR, DLOOP, and MTTF methylation was associated with longer gestational length in females at the upper quantiles and in males at lower gestational length quantiles. Maternal mtDNAcn and mtDNA methylation were associated with gestational length in babies born comparatively early or late, which could reflect adaptations in mitochondrial processes that regulate the length of gestation.

Project description:BackgroundDuring pregnancy, healthy maternal body weight and a nutritionally complete diet provide a favorable environment for fetal development. Yet nearly two-thirds of women of reproductive age in the United States (US) are either overweight or obese. The objective of this research was to investigate the relationship between a measure of dietary diversity and body mass index (BMI) in a sample of women enrolled in a US pregnancy cohort.MethodsDietary data was obtained from one 24-hour dietary recall collected during the third trimester of pregnancy (n = 40). Pre-pregnancy BMI was calculated from pre-pregnancy weight and height self-reported by survey at the time of enrollment. Using the Minimum Dietary Diversity for Women (MDD-W) indicator developed by the Food and Agriculture Organization of the United Nations, dietary data was categorized and scored.ResultsOverall, 35% of participants did not achieve minimum dietary diversity (MDD-W ?5). In addition, 45% of participants were obese, 35% were normal weight and 20% were overweight. Women with higher BMI had lower MDD-W scores than women with lower BMI (p < 0.05). The median MDD-W for both normal and overweight women was ?5 indicating that normal and overweight pregnant women tended to consume a diet that was high in micronutrients. Conversely, the median MDD-W for obese women was below 5 meaning these women tended to consume a diet that was low in micronutrient density. The most commonly consumed food group was grain. In addition, 75% of all participants consumed sweetened drinks. Individuals with an MDD-W score ?5, were more likely to have consumed dark green leafy vegetables, vitamin A-rich fruits or vegetables, other vegetables and other fruits than those with MDD-W scores <5.DiscussionIn this study, we show that a food group diversity indicator that has been shown to reflect adequacy of micronutrient intake in populations from less economically developed countries may also be informative in US populations. Furthermore, these results reflect the importance of encouraging all pregnant women with less varied diets to consume more fruits and vegetables.

Project description:ObjectiveAnemia has been reported to adversely influence sleep in infants. However, the association between anemia in pregnancy and infant sleep remains unclear. We aimed to examine the association between maternal anemia in pregnancy and sleep parameters of 6-month-old infants.MethodsWe enrolled 2,410 mother-infant pairs between 2018 and 2021 in Hefei. Data on maternal hemoglobin concentration were collected at 24-28 gestational weeks from the electronic medical records of the hospitals. Nocturnal and daytime sleep duration, number of night awakenings, nocturnal wakefulness, and sleep latency of infants aged 6 months were measured using the Brief Infant Sleep Questionnaire with five items. A restricted cubic spline model was used to examine the relationship between maternal hemoglobin concentration and infant nocturnal sleep duration after adjusting for potential confounders.ResultsIn our study, 807 (33.5%) mothers had anemia during pregnancy. Compared to infants born to mothers without anemia, infants born to mothers with anemia in pregnancy had shorter nocturnal sleep duration [mean (SD), 560.29 (79.57) mins vs. 574.27 (75.36) mins] at the age of 6 months. Subgroup analysis showed consistent significant differences in nocturnal sleep duration between infant born to anemic and non-anemic mothers, except in case of stratification by preterm birth [mean difference (mins), 2.03 (95% CI, -20.01, -24.07)] and pre-pregnancy obesity [mean difference (mins), -0.85 (95% CI, -16.86, -15.16)]. A J-shaped nonlinear correlation curve was observed between maternal hemoglobin concentration and infant nocturnal sleep duration. Compared with mothers without daily iron supplementation, mothers who had daily iron supplementation had higher hemoglobin concentrations [mean (SD), 112.39 (11.33) g/L vs. 110.66 (10.65) g/L] at delivery and their infants had longer nocturnal sleep duration [mean (SD), 565.99 (82.46) mins vs. 553.66 (76.03) mins].ConclusionAnemia in pregnancy may have an adverse influence on the sleep of 6-mon-old infants, and the relationship between maternal hemoglobin concentration and nocturnal sleep duration is nonlinear.

Project description:BackgroundHospital-focused maternal health safety and quality guidelines have been found to reduce pregnancy-related and -associated morbidity and mortality (PRAMM). Unfortunately, quality of obstetric care can improve without affecting disparities. This project is the first controlled implementation trial to test approaches to implementing safety guidelines that: (1) target PRAMM disparities; and (2) focus on community care (care provided outside hospitals in outpatient and other community settings, and coordination among care settings), where most deaths occur. It is also one of the first to test scale-up or sustainment implementation approaches to addressing maternal morbidity and mortality disparities.MethodsThis project, one of three in the federally funded Multilevel Interventions for Raci.a.l Equity (MIRACLE) Maternal Health Research Center of Excellence, will develop and evaluate an implementation approach for scaling up bundled equity-focused maternal health safety guidelines in community care settings county-wide. The scale-up approach will be co-developed with partners, and then tested using a cluster randomized stepped-wedge trial of 12 Michigan counties with a total population of nearly 6 million. Randomization occurs at the county level; birthing people and providers are clustered within counties. PRAMM outcomes (individual level; primary) will be extracted from a pre-existing statewide linked dataset that includes Medicaid claims and vital records data. The sample will include all Medicaid insured individuals in the 12 counties observed during pregnancy, at birth, and up to 1 year postpartum during the project period (~ 151,920 births, including ~ 49,110 births to Black and/or Hispanic mothers). Implementation outcomes (provider level) will be collected using annual provider (n = 600) surveys and will include scale-up (penetration, reach, control for delivery, and intervention effectiveness at scale) and sustainment (maintenance of fidelity to core elements, health benefits, and capacity to deliver core elements over time) of bundles and cost-effectiveness of implementation approaches.DiscussionThis implementation trial will be the first to evaluate an implementation approach to scaling community health equity-focused maternal safety guidelines, addressing an understudied aspect of implementation science (i.e., scale-up). The study will also provide information about implementation cost-effectiveness needed to drive policy decisions.Trial registrationThe study was prospectively registered on Clinicaltrials.gov (NCT06541951) on August 6, 2024. The first participant has not yet been recruited. The url for the trial registration is: https://clinicaltrials.gov/study/NCT06541951?locStr=Flint,%20MI&country=United%20States&state=Michigan&city=Flint&rank=1 .

Dataset Information

Sleep Disparities Across Pregnancy: A Michigan Cohort Study.

Introduction

Materials and methods

Results

Conclusions

Publications

Sleep Disparities Across Pregnancy: A Michigan Cohort Study.

Similar Datasets

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