Sleep behavior and chronotype before and throughout pregnancy

Balanced time perspective as a factor mitigating the negative consequences of sleep disruptions in the perinatal period

One of the basic causes of depressive symptoms is problems with adaptation to the changing conditions of current life. A period of life in which major changes occur in pregnancy and postpartum. These changes are primarily related to circadian rhythm disturbances. In adapting to living conditions, the attitude to time is of fundamental importance. The aim of the present study was to examine associations between circadian rhythms disruptions, time perspective, and perinatal depressive symptoms among 37 women at three time points: in the first and third trimesters of pregnancy and after delivery. Objective measures of sleep-wake behavior were obtained, including three 1-week actigraphy recordings. Self-reported disruptions in circadian rhythms were evaluated using the Biological Rhythms Interview of Assessment in Neuropsychiatry. The Zimbardo Time Perspective Inventory and the Dark Future Scale were used to assess balanced time perspective. The Edinburgh Postnatal Depression Scale was used to measure perinatal depressive symptoms. Balanced time perspective was a moderator of the relationship between sleep efficiency, measured using actigraphs, and self-reported disruptions in circadian rhythms. Moreover, the less balanced time perspective, the more disruptions in circadian rhythms and the more depressive symptoms women reported. The results suggest that balanced time perspective may function as a protective factor, mitigating the adverse effects of sleep disturbances during pregnancy and after childbirth.

The association between maternal sleep and circadian rhythms during pregnancy and infant sleep and socioemotional outcomes

Studies have established that maternal sleep and circadian rhythm disturbances during pregnancy are associated with poor prenatal and perinatal outcomes for mothers and offspring. However, little work has explored its effects on infant sleep or socioemotional outcomes. The current study examined the relationship between maternal sleep and circadian rhythm disturbances during pregnancy and infant sleep and socioemotional outcomes in a diverse sample of N = 193 mothers and their infants (51% White; 52% Female; Mage = 11.95 months). Maternal sleep and circadian rhythms during pregnancy were assessed using self-reports and actigraphy. Mothers reported on infants' sleep and socioemotional outcomes when infants were one year old. When controlling for infant sex, age, gestational age at birth, family income-to-needs ratios, and maternal depression, mothers who reported more sleep problems during pregnancy had infants with more sleep disturbances when they were one year old. Moreover, mothers who had later sleep timing (i.e., went to bed and woke up later, measured via actigraphy) during pregnancy had infants with more dysregulation (e.g., increased feeding difficulties, sensory sensitivities) and externalizing problems, and mothers with increased intra-daily variability in rest-activity rhythms (as measured via actigraphy) had infants with more externalizing problems. Findings suggest that maternal sleep and circadian rhythm disturbances during pregnancy may be a risk factor for infant sleep problems and socioemotional difficulties.

The mediating role of resilience and sleep quality between self-efficacy and prenatal anxiety: A mediational analysis

BACKGROUND AND OBJECTIVE

During pregnancy, prenatal anxiety is one of the most common mental disorders that women experience. This study aims to assess the prevalence of prenatal anxiety among Chinese pregnant women and explore the parallel mediating role of resilience and sleep quality in the relationship between self-efficacy and prenatal anxiety.

METHODS

Between February and June 2023, a total of 1071 pregnant women were recruited from three hospitals in Nantong, Jiangsu Province, China, using a convenience sampling method. The participants completed general survey questionnaires and were assessed using the Depression Anxiety Stress Scale-21, the Pittsburgh Sleep Quality Index, the 10-item Connor-Davidson Resilience Scale, and the Chinese version of the General Self-Efficacy Scale. In addition, a hierarchical multiple regression analysis was employed to investigate the relevant and mediating factors of prenatal anxiety. This study utilized a structural equation model to examine the mediating role of resilience and sleep quality in the relationship between self-efficacy and prenatal anxiety.

RESULTS

Multivariate regression analysis showed that self-efficacy, resilience, and sleep quality were associated with prenatal anxiety (P < 0.05). The results of the mediation analysis indicated that resilience and sleep quality acted as fully mediators between self-efficacy and prenatal anxiety. The mediating effect of resilience was -1.8970 (95% CI -2.5259 to -1.3145), accounting for 72.07% of the total effect, and the mediating effect of sleep quality was -0.5482 (95% CI -0.7450 to -0.3726), accounting for 20.83% of the total effect. While self-efficacy accounted for 7.10% of the total effect (P = 0.5625), resilience, and sleep quality fully mediated prenatal anxiety.

CONCLUSION

In Chinese pregnant women, the study revealed that sleep quality and resilience played a fully mediating role in the impact of self-efficacy on symptoms of prenatal anxiety. This suggests that enhancing resilience, improving sleep quality, and promoting self-efficacy may help alleviate symptoms of prenatal anxiety.

Sleep variability and time to achieving pregnancy: findings from a pilot cohort study of women desiring pregnancy

OBJECTIVE

To determine whether chronodisruption is associated with achieving pregnancy.

DESIGN

Pilot prospective cohort study.

SETTING

Academic Medical Center.

PATIENT(S)

One hundred eighty-three women desiring pregnancy were recruited from the local community of an academic medical center located in the Midwest and provided sleep information between February 1, 2015, and November 30, 2017.

INTERVENTION

Sleep and activity data were obtained via actigraphy watches worn continuously for 2 weeks to assess measures of chronodisruption, including sleep period onset, offset, midtime, and duration; as well as variability in each of these measures.

MAIN OUTCOME MEASURES

Time to becoming pregnant over 1-year of follow-up.

RESULTS

Of the 183 eligible women, 82 became pregnant over a median of 2.8 months of follow-up. Greater interdaily variability in time of sleep onset and variability in sleep duration were associated with a longer time to achieving pregnancy after adjusting for age, body mass index, race, education, income, and smoking status (adjusted hazard ratio [aHR], 0.60; 95% confidence interval [CI], 0.36-0.999 comparing participants with a standard deviation of >1.8 hours to <1.8 hours in daily time of sleep onset; and aHR, 0.58; 95% CI, 0.36-0.98 comparing participants with a standard deviation of >2.3 hours to <2.3 hours in daily sleep duration). In adjusted analyses, no statistically significant associations were observed for average time of sleep onset and offset, midsleep time, and sleep duration, or for variability in time of sleep offset and midtime.

CONCLUSIONS

Higher day-to-day variability in time of sleep onset and sleep duration-two measures of chronodisruption-were associated with a longer time to achieving pregnancy over 1 year of follow-up in women desiring pregnancy. If replicated in additional studies, these findings could point to lifestyle interventions to help women achieve a desired pregnancy.

Combination of body mass index and body fat percentage in middle and late pregnancy to predict pregnancy outcomes in patients with gestational diabetes in Wenzhou, China: a single-centre retrospective cohort study

OBJECTIVES

The present study aimed to evaluate whether body mass index (BMI) and body fat percentage (BFP) could be used to predict pregnancy outcomes in patients with gestational diabetes mellitus (GDM).

DESIGN

Retrospective cohort study.

SETTING

Wenzhou Medical University Affiliated Second Hospital (Zhejiang Province, China). Clinical data were collected from electronic medical records.

PARTICIPANTS

Data from 683 patients with GDM admitted to the Wenzhou Medical University Affiliated Second Hospital between January 2019 and December 2021 were retrospectively analysed.

OUTCOME MEASURES

Pregnancy outcomes.

RESULTS

The results showed that pregnant women with BFP ≥33% were more prone to abnormal amniotic fluid volume, abnormal blood pressure and anaemia (p<0.05). Additionally, these patients were more likely to experience postpartum haemorrhage and macrosomia, as well as risk factors associated with caesarean section at labour (p<0.05). BMI exhibited a strong predictive value for abnormal blood pressure (OR 1.170; 95% CI 1.090 to 1.275), anaemia (OR 1.073; 95% CI 1.016 to 1.134), caesarean section (OR 1.150; 95% CI 1.096 to 1.208) and macrosomia (OR 1.169; 95% CI 1.063 to 1.285). Additionally, classified BFP had a predictive value for abnormal amniotic fluid volume (OR 3.196; 95% CI 1.294 to 7.894), abnormal blood pressure (OR 2.321; 95% CI 1.186 to 4.545), anaemia (OR 1.817; 95% CI 1.216 to 2.714), and caesarean section (OR 1.734; 95% CI 1.270 to 2.367).

CONCLUSIONS

The results suggest that patients with GDM with BFP ≥33% were more likely to experience unfavourable pregnancy outcomes, undergo caesarean section and develop macrosomia. The combination of BMI with classified BFP could better predict abnormal blood pressure and caesarean section in patients with GDM during the middle and late stages of pregnancy.

Circadian Regulation of Lipid Metabolism during Pregnancy

A cluster of metabolic changes occur to provide energy for fetal growth and development during pregnancy. There is a burgeoning body of research highlighting the pivotal role of circadian rhythms in the pathogenesis of metabolic disorders and lipid homeostasis in mammals. Perturbations of the circadian system and lipid metabolism during gestation might be responsible for a variety of adverse reproductive outcomes comprising miscarriage, gestational diabetes mellitus, and preeclampsia. Growing studies have confirmed that resynchronizing circadian rhythms might alleviate metabolic disturbance. However, there is no clear evidence regarding the specific mechanisms by which the diurnal rhythm regulates lipid metabolism during pregnancy. In this review, we summarize previous knowledge on the strong interaction among the circadian clock, lipid metabolism, and pregnancy. Analyzing the circadian clock genes will improve our understanding of how circadian rhythms are implicated in complex lipid metabolic disorders during pregnancy. Exploring the potential of resynchronizing these circadian rhythms to disrupt abnormal lipid metabolism could also result in a breakthrough in reducing adverse pregnancy outcomes.

Objective and self-reported assessment of sleep quality during each trimester of pregnancy: A prospective observational study

OBJECTIVES

Studies on actual circumstances of sleep in pregnant women are limited to surveys of self-reported symptoms, and objective assessments are missing. Sleep disturbances due to hormonal imbalances are common during pregnancy. This study aimed to assess sleep quality by objective assessment using an actigraph and by self-reported assessment using a questionnaire for sleep during each trimester of pregnancy and to elucidate how sleep quality changed from the first to the third trimester of pregnancy.

STUDY DESIGN

A longitudinal questionnaire survey was administered and sleep measurements using an actigraph were recorded at three time points during the first, second, and third trimesters in primiparous women who had conceived naturally.

RESULTS

During the first trimester, "feeling of being refreshed when waking up in the morning" was not noted, and a decline was observed in mental function. During the second trimester, a positive correlation was observed between morning sickness and sleep quality.

CONCLUSIONS

Sleep quality was the worst during the third trimester, with the shortest total sleep time and poor sleep efficiency, along with poor physical function scores. Back pain and leg cramps significantly correlated with sleep efficiency in the third trimester. Poor sleep during pregnancy begins in the first trimester. If minor problems, such as morning sickness, continue in the second trimester, sleep quality is greatly affected. Furthermore, during the third trimester of pregnancy, low back pain and leg cramps are more likely to occur due to an increase in the abdominal area and may interfere with sleep.

Associations between anxiety, sleep, and blood pressure parameters in pregnancy: a prospective pilot cohort study

BACKGROUND

The potential effect modification of sleep on the relationship between anxiety and elevated blood pressure (BP) in pregnancy is understudied. We evaluated the relationship between anxiety, insomnia, and short sleep duration, as well as any interaction effects between these variables, on BP during pregnancy.

METHODS

This was a prospective pilot cohort of pregnant people between 23 to 36 weeks' gestation at a single institution between 2021 and 2022. Standardized questionnaires were used to measure clinical insomnia and anxiety. Objective sleep duration was measured using a wrist-worn actigraphy device. Primary outcomes were systolic (SBP), diastolic (DBP), and mean (MAP) non-invasive BP measurements. Separate sequential multivariable linear regression models fit with generalized estimating equations (GEE) were used to separately assess associations between anxiety (independent variable) and each BP parameter (dependent variables), after adjusting for potential confounders (Model 1). Additional analyses were conducted adding insomnia and the interaction between anxiety and insomnia as independent variables (Model 2), and adding short sleep duration and the interaction between anxiety and short sleep duration as independent variables (Model 3), to evaluate any moderating effects on BP parameters.

RESULTS

Among the 60 participants who completed the study, 15 (25%) screened positive for anxiety, 11 (18%) had subjective insomnia, and 34 (59%) had objective short sleep duration. In Model 1, increased anxiety was not associated with increases in any BP parameters. When subjective insomnia was included in Model 2, increased DBP and MAP was significantly associated with anxiety (DBP: β 6.1, p = 0.01, MAP: β 6.2 p < 0.01). When short sleep was included in Model 3, all BP parameters were significantly associated with anxiety (SBP: β 9.6, p = 0.01, DBP: β 8.1, p < 0.001, and MAP: β 8.8, p < 0.001). No moderating effects were detected between insomnia and anxiety (p interactions: SBP 0.80, DBP 0.60, MAP 0.32) or between short sleep duration and anxiety (p interactions: SBP 0.12, DBP 0.24, MAP 0.13) on BP.

CONCLUSIONS

When including either subjective insomnia or objective short sleep duration, pregnant people with anxiety had 5.1-9.6 mmHg higher SBP, 6.1-8.1 mmHg higher DBP, and 6.2-8.8 mmHg higher MAP than people without anxiety.

Sleep and circadian rhythms during pregnancy, social disadvantage, and alterations in brain development in neonates

Pregnant women in poverty may be especially likely to experience sleep and circadian rhythm disturbances, which may have downstream effects on fetal neurodevelopment. However, the associations between sleep and circadian rhythm disturbances, social disadvantage during pregnancy, and neonatal brain structure remains poorly understood. The current study explored the association between maternal sleep and circadian rhythm disturbances during pregnancy and neonatal brain outcomes, examining sleep and circadian rhythm disturbances as a mediator of the effect of social disadvantage during pregnancy on infant structural brain outcomes. The study included 148 mother-infant dyads, recruited during early pregnancy, who had both actigraphy and neuroimaging data. Mothers' sleep was assessed throughout their pregnancy using actigraphy, and neonates underwent brain magnetic resonance imaging in the first weeks of life. Neonatal structural brain outcomes included cortical gray matter, subcortical gray matter, and white matter volumes along with a measure of the total surface area of the cortex. Neonates of mothers who experienced greater inter-daily deviations in sleep duration had smaller total cortical gray and white matter volumes and reduced cortical surface areas. Neonates of mothers who had higher levels of circadian misalignment and later sleep timing during pregnancy showed smaller subcortical gray matter volumes. Inter-daily deviations in sleep duration during pregnancy mediated the association between maternal social disadvantage and neonatal structural brain outcomes. Findings highlight the importance of regularity and rhythmicity in sleep schedules during pregnancy and bring to light the role of chronodisruption as a potential mechanism underlying the deleterious neurodevelopmental effects of prenatal adversity. RESEARCH HIGHLIGHTS: Social disadvantage was associated with sleep and circadian rhythm disturbances during pregnancy, including later sleep schedules, increased variability in sleep duration, circadian misalignment, and a higher proportion of the sleep period spent awake. Maternal sleep and circadian rhythm disturbances during pregnancy were associated with decreased brain volume and reduced cortical surface area in neonates. Maternal inter-daily deviations in sleep duration during pregnancy mediated the association between social disadvantage and neonatal brain volume and cortical surface area.

Sleep and its association with depressive and anxiety symptoms during the last weeks of pregnancy: A population-based study

OBJECTIVE

To evaluate the association between sleep characteristics and depressive and anxiety symptoms during the immediate postpartum period.

METHODS

People who had hospital births during 2019 in the municipality of Rio Grande (southern Brazil) were assessed with a standardized questionnaire concerning sociodemographic (eg, age and self-reported skin color) and health-related variables (eg, parity and stillbirth) (n = 2314) 24-48 hours after birth. We used the Munich Chronotype Questionnaire to assess sleep latency, inertia, duration, and chronotype; the Edinburgh Postpartum Depression Scale for depressive symptoms; and the General Anxiety Disorder 7-Item Scale to evaluate anxiety symptoms. We used logistic regression models to calculate odds ratios.

RESULTS

The prevalence of depressive symptoms was 13.7%, and of anxiety symptoms was 10.7%. Depressive symptoms were more likely in those with vespertine chronotype (odds ratios = 1.63; 95% CI: 1.14-2.35) and those with a sleep latency of more than 30 minutes (OR = 2.36; 95% CI: 1.68-3.32). The probability of depressive symptoms decreased by 16% for each additional hour of sleep (OR = 0.84; 95% CI: 0.77-0.92). Sleep inertia of 11-30 minutes increased the probability of anxiety on free days (OR = 1.73; 95% CI: 1.27-2.36) and increased the probability of depressive (OR = 2.68; 95% CI: 1.82-3.83) and anxiety symptoms (OR = 1.69; 95%CI: 1.16-2.44) on workdays.

CONCLUSION

Participants with vespertine chronotype or shorter sleep duration were more likely to have depressive symptoms. Those who took more time to fall asleep or get out of bed were more likely to have both anxiety and depressive symptoms, but the association was stronger for depressive symptoms.

Sleep Disparities Across Pregnancy: A Michigan Cohort Study

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.

Psychometric evaluation of the Chinese version of Sleep Health Index in pregnant women

OBJECTIVE

The aim of this study was to investigate the psychometric properties of the Chinese version of the Sleep Health Index (SHI-C) among pregnant women.

DESIGN

Cross-sectional design.

SETTING

Outpatient clinic of three hospitals in China.

PARTICIPANTS

Pregnant women (N = 264) aged between 18 and 45 years were recruited via convenience sampling.

METHODS

The Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS) and Insomnia Severity Index (ISI) were used to measure sleep quality, daytime sleepiness, and insomnia, respectively. The Fatigue Assessment Scale (FAS) and the Edinburgh Postnatal Depression Scale (EPDS) were used to measure fatigue and depression, respectively. Structural validity was assessed via confirmatory factor analysis (CFA). Concurrent and convergent validity were assessed using bivariate correlation analyses. Known-group validity was assessed by comparing the SHI-C score between different groups. Cronbach's α was calculated for reliability.

FINDINGS

The average sample age was 30.6 years old and their average score of SHI-C was 86.4 (SD 8.2). Based on PSQI, ISI, and ESS, 43.6%, 32.2%, and 26.9% had poor sleep quality, insomnia, and excessive daytime sleepiness, respectively. The SHI-C total and sleep quality sub-index scores had moderate to strong correlations with both PSQI (r=-0.542, p<0.01; r=-0.648, p<0.01) and ISI (r=-0.692, p<0.01; r=-0.752, p<0.01). The SHI-C total and sleep quality sub-index scores were significantly associated with ESS, FAS, and EPDS (r=-0.171 to -0.276; p<0.01). The SHI-C total score was higher in the second trimester and among those who were working, never drank coffee, or took a nap every day. The Cronbach's α of the SHI-C total and the sleep quality sub-index were 0.723 and 0.806, respectively. The Cronbach's α of sleep duration and disordered sleep sub-indices were 0.594 and 0.545, respectively.

KEY CONCLUSIONS

Overall, the SHI-C has good validity and acceptable reliability among the pregnant population in China. It can be a useful tool for the assessment of sleep health. More research is warranted to refine the sleep duration and disordered sleep sub-indices.

IMPLICATIONS FOR PRACTICE

The use of SHI-C would facilitate the assessment of sleep health among pregnant women, which could contribute to the promotion of perinatal care.

Associations between chronotype, sleep quality, maternal mental health, and child development in mother-infant dyads

OBJECTIVE/BACKGROUND

Studies on circadian rhythms throughout development and their physiological and behavioral impacts at early stages are still scarce. Previous studies have shown that mother-infant interactions are important for both sleep and child development. In this cross-sectional study we investigated whether infants' chronotype, sleep and development were associated with their respective mothers' chronotype, sleep, mental health and socioeconomic status.

PATIENTS/METHODS

the following were used to evaluate mothers: the Morningness-Eveningness Questionnaire (MEQ), Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS) and Self-Reporting Questionnaire 20 (SRQ-20). To assess the infants' characteristics, the following were used: the 19th question from the Morningness-Eveningness Questionnaire (MEQ), infant nocturnal midpoint of sleep (iMSF), Brief Infant Sleep Questionnaire (BISQ) and Ages and Stages Questionnaire-3 (ASQ3). Socioeconomic aspects were assessed using the Brazilian Economic Class Criterion of the Brazilian Association of Research Companies (ABEP).

RESULTS

A hundred and eight mother-infant dyads participated in the study. Sleep disorders were observed in 38 (35%) infants and atypical development (ASQ3) in 35 (32%). The infants' sleep phases were partially explained by the mother's chronotype. Infants' sleep duration was negatively correlated with sleep latency, which was higher in the group with atypical development. Mothers of infants with sleep disorders or discordant chronotypes (32%) had higher Pittsburgh scores (worse sleep quality) and higher SRQ-20 scores (screen for Common Mental Disorders).

CONCLUSIONS

We found evidence for the contribution of sleep quality and chronotypes to mothers' mental health and infant development. However, further studies are needed to confirm the influence of sleep and circadian phenotypes in the early stages.

Sleep habits and problems across gestational progress in Japanese women

BACKGROUND

Pregnancy-related anatomic, physiologic, and hormonal factors can occur at different stages of pregnancy and affect sleep disturbances. Sleep problems and habits among Japanese women across gestational stages have not been described. This study aimed to elucidate sleep problems, including a high risk of sleep-disordered breathing and sleep habits, among Japanese women across gestational progress, including postpartum.

METHODS

A questionnaire survey using the Pittsburgh Sleep Quality Index (PSQI) and Berlin Questionnaire was conducted for 683 pregnant women (223 in the second trimester, 453 in the third trimester) and 386 postpartum (within 1 week after delivery).

RESULTS

The total PSQI score was 5.3 [2.6] in the second trimester, 6.1 [2.8] in the third trimester, and 6.8 [3.1] in the first week postpartum. The percentage of those at high risk for sleep-disordered breathing, as determined by the Berlin Questionnaire, was 11.8% in the second trimester, 21.3% in the third trimester, and 19.2% in the first week postpartum, with the highest percentage of those at high risk in the third trimester of pregnancy.

CONCLUSION

The PSQI total score exceeded the cut-off value in the third trimester and the first week postpartum, suggesting sleep deterioration. Therefore, it is necessary to understand and support sleep in pregnant women to ensure safe delivery, postpartum recovery, and health.

Longitudinal changes in objective sleep parameters during pregnancy

BACKGROUND

Sleep disturbances are associated with adverse perinatal outcomes. Thus, it is necessary to understand the continuous patterns of sleep during pregnancy and how moderators such as maternal age and pre-pregnancy body mass index impact sleep.

OBJECTIVE

This study aimed to examine the continuous changes in sleep parameters objectively (i.e. sleep stages, total sleep time, and awake time) in pregnant women and to describe the impact of maternal age and/or pre-pregnancy body mass index as moderators of these objective sleep parameters.

DESIGN

This was a longitudinal observational design.

METHODS

Seventeen women with a singleton pregnancy participated in this study. Mixed model repeated measures were used to describe weekly patterns, while aggregated changes describe these three pregnancy periods (10-19, 20-29, and 30-39 gestational weeks).

RESULTS

For the weekly patterns, we found significantly decreased deep (1.26 ± 0.18 min/week, p < 0.001), light (0.72 ± 0.37 min/week, p = 0.05), and total sleep time (1.56 ± 0.47 min/week, p < 0.001) as well as increased awake time (1.32 ± 0.34 min/week, p < 0.001). For the aggregated changes, we found similar patterns to weekly changes. Women (⩾30 years) had an even greater decrease in deep sleep (1.50 ± 0.22 min/week, p < 0.001) than those younger (0.84 ± 0.29 min/week, p = 0.04). Women who were both overweight/obese and ⩾30 years experienced an increase in rapid eye movement sleep (0.84 ± 0.31 min/week, p = 0.008), but those of normal weight (<30 years) did not.

CONCLUSION

This study appears to be the first to describe continuous changes in sleep parameters during pregnancy at home. Our study provides preliminary evidence that sleep parameters could be potential non-invasive physiological markers predicting perinatal outcomes.

Changes in Sleep Patterns during Pregnancy and Predictive Factors: A Longitudinal Study in Saudi Women

This study aimed to assess sleep patterns during the three trimesters of pregnancy and whether vitamin D concentrations, along with other risk factors, are associated with these alterations. In a longitudinal study, 140 pregnant women (age 18 to 39 years) were followed throughout their first, second, and third trimesters. Sleep was measured using the Pittsburgh Sleep Quality Index (PSQI) at each trimester, along with an assessment of biochemical parameters, including serum vitamin D levels. The information that was collected included anthropometric data, socio-economic status, dietary intake, and physical activity. The PSQI was higher in mid and late pregnancy than in early pregnancy (both p = 0.001), and the sleep duration was also higher in late versus early pregnancy. Linear regression analyses revealed independent predictors of deteriorating sleep quality from early to late pregnancy, including low income (B ± SE −0.60 ± 0.26, p = 0.03) and low serum vitamin D levels in the second trimester (B ± SE −0.20 ± 0.01, p = 0.04). Energy intake and sitting in the second half of pregnancy were positively associated with changes in the PSQI score from the second to third trimesters (B ± SE 0.15 ± 0.07, p = 0.048) and (B ± SE 0.01 ± 0.00, p = 0.044), respectively. Low socio-economic status, low serum vitamin D levels, greater energy intake, and sitting time were associated with worsening patterns of sleep quality from early to late pregnancy.