Body Weight Status and Sleep Disturbances During Pregnancy: Does Adherence to Gestational Weight Gain Guidelines Matter?

Association between sleep quality and weight gain in pregnancy: a cross-sectional study

INTRODUCTION

There are grounds for the hypothesis that poor sleep quality, regardless of the pre-gestational nutritional status, is a risk factor for inadequate gestational weight gain.

OBJECTIVE

To investigate the association between sleep quality and insufficient or excessive gestational weight gain in Brazilian pregnant women without gestational complications and monitored in public prenatal care units.

METHODS

This is a cross-sectional study nested within a cohort study that reviewed pregnant women's mental health, sleep, and nutritional outcome. Data collection was carried out from May 2018 to June 2019 through face-to-face and telephone interviews and consultation of pregnant women's medical records. Sleep quality was assessed using the Mini-sleep Questionnaire. The pregnancy weight gain was measured based on the Institute of Medicine's recommendations. Univariate and multivariate Poisson regression analysis was used for the two outcomes: insufficient or excessive weight gain, using pregnant women with adequate weight gain as the reference category. Associations were considered significant when p < 0.05.

RESULTS

The prevalence of severe sleep disorders was high: 63.4% of pregnant women experienced this condition. Severe sleep disorders enhanced independently the risk of insufficient gestational weight gain (PR = 2.40; 95% CI = 1.06-5.42, p = 0.035). There was no association between sleep disorders and excessive gestational weight gain.

CONCLUSION

The hypothesis that poor sleep quality influences gestational weight gain was confirmed. Severe sleep disorders, a highly prevalent condition, significantly increased the prevalence of insufficient gestational weight gain, yet it was not associated with excessive weight gain. Thus, educational actions should be included in the preconception and prenatal periods, in order to encourage the adoption of habits that favor sleep quality, an intervention that may have positive effects in reducing insufficient gestational weight gain.

Assessment of Sleep Quality in Spanish Twin Pregnancy: An Observational Single-Center Study

Women with twin pregnancies experience greater sleep disturbance compared to women with singleton pregnancies. The aims of this study were to explore the sleep quality in women with twin pregnancies and to compare their sleep dimensions with coetaneous single pregnancies. This was an observational study in which women were enrolled at the end of pregnancy in the Obstetric Service of Hospital La Paz (Spain). The women were classified as single (n = 143) or twin pregnancy (n = 62). Pregnant women responded to the Pittsburgh Sleep Quality Index to evaluate sleep quality, latency, duration, efficiency, perturbance, use of medication, and daytime dysfunction. The higher the index, the greater the alteration of sleep quality. Without statistical differences, a poor sleep quality was higher in women with single (66.7%) than women with twin pregnancies (22.8%). The good sleeper slept 6.8 h/day in single pregnancy and 7.3 h/day in twin pregnancy. The sleep perturbation and dysfunctionality were higher in women with twin than single pregnancies. The use of medication to sleep was significantly lower in women with twin than single pregnancies. In women with twin pregnancy, the body weight gain during first trimester had a positive correlation with worse sleep quality and sleep perturbations. Twin pregnancy needed more than 7 h/day to have a high sleep quality, showing greater sleep perturbations and daytime dysfunction than single pregnancies. The control of gestational body weight can improve the sleep quality, disturbances, and duration in twin gestations. Sleep screening during pregnancy would be necessary to handle sleep issues and increase benefits in twin gestational outcomes.

Dietitian-led cluster randomised controlled trial on the effectiveness of mHealth education on health outcomes among pregnant women: a protocol paper

INTRODUCTION

Nutrition education is the cornerstone to maintain optimal pregnancy outcomes including gestational weight gain (GWG). Nevertheless, default for appointments is common and often lead to suboptimal achievement of GWG, accompanied with unfavourable maternal and child health outcomes. While mobile health (mHealth) usage is increasing and helps minimising barriers to clinic appointments among pregnant mothers, its effectiveness on health outcomes has been inconclusive. Therefore, this study aimed to address the gap between current knowledge and clinical care, by exploring the effectiveness of mHealth on GWG as the primary outcome, hoping to serve as a fundamental work to achieve optimal health outcomes with the improvement of secondary outcomes such as physical activity, psychosocial well-being, dietary intake, quality of life and sleep quality among pregnant mothers.

METHODS AND ANALYSIS

A total of 294 eligible participants will be recruited and allocated into 3 groups comprising of mHealth intervention alone, mHealth intervention integrated with personal medical nutrition therapy and a control group. Pretested structured questionnaires are used to obtain the respondents' personal information, anthropometry data, prenatal knowledge, physical activity, psychosocial well-being, dietary intake, quality of life, sleep quality and GWG. There will be at least three time points of data collection, with all participants recruited during their first or second trimester will be followed up prospectively (after 3 months or/and after 6 months) until delivery. Generalised linear mixed models will be used to compare the mean changes of outcome measures over the entire study period between the three groups.

ETHICS AND DISSEMINATION

Ethical approvals were obtained from the ethics committee of human subjects research of Universiti Putra Malaysia (JKEUPM-2022-072) and medical research & ethics committee, Ministry of Health Malaysia: NMRR ID-22-00622-EPU(IIR). The results will be disseminated through journals and conferences targeting stakeholders involved in nutrition research.

TRIAL REGISTRATION NUMBER

Clinicaltrial.gov ID: NCT05377151.

Poor Sleep Quality Increases Gestational Weight Gain Rate in Pregnant People: Findings from the MADRES Study

Background

Poor sleep quality is associated with weight gain in non-pregnant populations, but evidence in pregnant people is lacking. Our study examined the association between early-to-mid pregnancy sleep quality and weekly gestational weight gain (GWG) rate during mid-to-late pregnancy by pre-pregnancy body mass index (BMI).

Method

Participants were 316 pregnant participants from the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) study. During early-to-mid pregnancy, participants reported their sleep quality which was used to construct four categories: very poor, poor, good, and very good. Linear growth curve models examined the association between early-to-mid pregnancy sleep quality and weekly rate of GWG (kg/week) during mid-to-late pregnancy (> 20 weeks gestation), with a three-way cross-level interaction between gestational age, sleep quality, and pre-pregnancy BMI category. Models adjusted for ethnicity by birthplace, hypertensive disorders, perceived stress score, and physical activity level.

Results

Overall, poorer early-to-mid pregnancy sleep quality was associated with increased weekly weight gain during mid-to-late pregnancy. For example, amongst normal weight participants, mid-to-late pregnancy weight gain was, on average, 0.39 kg (95% CI: 0.29, 0.48) per week for those with very good sleep quality, 0.53 kg (95% CI: 0.44, 0.61) per week for those with poor sleep quality, and 0.54 kg (95% CI: 0.46, 0.62) per week for those with very poor sleep quality during early-to-mid pregnancy. This difference in GWG rate was statistically significantly comparing very good to poor sleep (0.14 kg/week, 95% CI: 0.01, 0.26) and very good to very poor sleep (0.15kg/week, 85% CI: 0.02, 0.27). This association between sleep quality and GWG rate did not statistically differ by pre-pregnancy BMI.

Conclusion

Our study found very poor early-to-mid pregnancy sleep quality was associated with higher mid-to-late pregnancy GWG rate. Incorporating pregnancy-specific sleep recommendations into routine obstetric care may be a critical next step in promoting healthy GWG.

Systematic review of the associations between prenatal sleep behaviours and components of energy balance for regulating weight gain

This systematic review aimed to examine the magnitude and direction of the associations between prenatal sleep behaviours (i.e. nighttime sleep duration, sleep quality, night awakenings and daytime nap duration) and eating behaviours, physical activity and gestational weight gain. A systematic search was conducted using Medline/PubMed, PsychINFO, CINAHL Complete, ProQuest Dissertations and Thesis A&I, and Web of Science to identify studies with at least one sleep measure, and either eating behaviours, physical activity and/or gestational weight gain. In summary, 11 studies met the review criteria and generated 11 total effect size across 10,900 participants. The majority of the studies were conducted after 2010, which highlights the infancy of this research. Overall, the strengths of the effect size were small: sleep-gestational weight gain (effect size = 0.29), sleep-eating behaviours (effect size = 0.13) and sleep-physical activity (effect size = 0.13). The only effect size that emerged as significant was for the pooled sleep behaviours-physical activity association; good sleep behaviours were positively associated with higher levels of physical activity. These findings summarize and provide insight on how sleep behaviours are related to prenatal gestational weight gain, eating behaviours and physical activity by identifying the strength and direction of the associations that have been previously unknown. Results support the rationale for future longitudinal and randomized control trials to examine the effects of sleep behaviours on gestational weight gain, eating behaviours and physical activity over the course of pregnancy.

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 24-Hour Movement Behaviors From Early to Late Pregnancy in Individuals With Prepregnancy Overweight or Obesity

BACKGROUND

Understanding how sleep, sedentary behavior (SED), and physical activity (PA) (24-h movement profile) changes across pregnancy in individuals with prepregnancy overweight or obesity and how parity (previous births) impacts these changes can help inform interventions.

METHODS

In 155 participants, movement was measured using wrist-worn accelerometers, and sleep was self-reported in early (8-15 wk) and late (29-38 wk) pregnancy. The 24-hour movement profiles were analyzed using compositional analyses.

RESULTS

Nulliparous participants (no previous births) spent 33.95%, 38.14%, 25.32%, and 2.58% of the 24-hour day in early pregnancy in sleep, SED, light-intensity PA, and moderate/vigorous-intensity PA, respectively. Multiparous participants (≥1 previous birth) spent 2.50 percentage points less in SED (mean log-ratio difference = -0.068; 95% confidence interval [CI], -0.129 to -0.009) and 2.73 percentage points more in light-intensity PA (mean log-ratio difference = 0.102; 95% CI, 0.035 to 0.180). From early to late pregnancy, participants decreased the proportion of the 24-hour day spent asleep by 1.67 percentage points (mean log-ratio difference = -0.050; 95% CI, -0.092 to -0.011) and increased light-intensity PA by 1.56 percentage points (mean log-ratio difference = 0.057; 95% CI, 0.003 to 0.108), with no change in other behaviors.

CONCLUSIONS

Nulliparous and multiparous individuals with prepregnancy overweight or obesity both had high levels of SED, with no change across pregnancy, and may require interventions to reduce  SED.

Sleep quality and BMI in pregnancy- a prospective cohort study

Background

Pregnancy associated sleep disturbances is a common pregnancy-related complication which can lead to significant maternal distress and adverse pregnancy outcomes. Sleep quality can be affected by multiple factors and obesity has been recognized as one of them. Various previous studies have demonstrated poorer sleep quality during pregnancy. However, most studies included assessment at only one point of pregnancy. This prospective cohort study aimed to better evaluate the effect of pregnancy on the quality of sleep throughout the antenatal period and how BMI affects antenatal sleep.

Methods

A total of 926 women were recruited before 14 weeks of gestation and followed throughout pregnancy. The Pittsburgh Sleep Quality Index questionnaire (PSQI) was employed to assess sleep quality in 4 antenatal visits throughout pregnancy. Their weight was also recorded at each visit.

Results

The PSQI global score was higher towards the later part of pregnancy (6.4 to 8.0, p < 0.001) and highest at the 4th visit. Sleep latency was longer as pregnancy progressed (18.5 mins to 23.2 mins, p = 0.001). Sleep duration became shorter over time and was the shortest at the 4th visit (7.1 h to 6.5 h, p < 0.001). Sleep efficiency was the lowest at the 4th visit (85.2 to 81.6%, p < 0.001). The same trend was observed for subjects in different BMI groups throughput pregnancy. PSQI score increased and sleep duration decreased as BMI increased. The effect of increasing BMI on PSQI and sleep duration was only observed in the higher BMI groups (> 25 kg/m²).

Conclusions

Our study showed that sleep quality gradually declined throughout pregnancy for all BMI groups. Higher BMI was associated with poorer sleep as represented by PSQI score and sleep duration, particularly in the overweight and obese subgroups.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-04414-7.

Hyperglycemia in pregnancy: sleep alterations, comorbidities and pharmacotherapy

OBJECTIVE

To investigate sleep alterations and associated factors in pregnant diabetic women (n=141).

METHODS

Sleep profile, sociodemographics and clinical information were collected. Poor sleep quality (Pittsburgh Sleep Quality Index >5) and excessive daytime sleepiness (Epworth Sleepiness Scale ≥10), sleep duration (h), sleep latency (min), frequent sleep interruption and short sleep (≤6 h) were assessed in type 1 diabetes mellitus (16.3%), type 2 diabetes mellitus (25.5%) and gestational diabetes mellitus (58.2%).

RESULTS

Poor sleep quality was found in 58.8% of patients and daytime sleepiness in 25.7%, regardless of hyperglycemia etiology. No correlation existed between daytime sleepiness and poor sleep quality (Pearson correlation r=0.02, p=0.84). Short sleep duration occurred in 1/3 of patients (31.2%). Sleep interruptions due to frequent urination affected 72% of all and sleep interruptions due to any cause 71.2%. Metformin was used by 65.7% of type 2 diabetes mellitus and 28.7% of gestational diabetes mellitus. In gestational diabetes mellitus, parity number was independently associated with poor sleep quality (p=0.02; OR=1.90; 95%CI 1.07-3.36) and metformin use was also independently associated with poor sleep quality (p=0.03; OR=2.36; 95%CI 1.05-5.29).

CONCLUSIONS

Our study originally shows that poor sleep quality and excessive daytime sleepiness are frequent in diabetic pregnancy due to different etiologies. Interestingly, only in gestational diabetes mellitus, metformin therapy and higher parity were associated with poor sleep quality.

Associations between prenatal sleep and psychological health: a systematic review

STUDY OBJECTIVES

This systematic review aimed to examine the: (1) strength of associations between prenatal sleep (ie, duration, quality, and insomnia) and psychological health (ie, depression, anxiety, and stress); and (2) moderating influence of sociodemographic characteristics (ie, maternal age, gestational age/trimester, parity, marital and socioeconomic status [SES]), body mass index (BMI), and meeting sleep recommendations.

METHODS

A systematic search was conducted using PubMed, PsycINFO, Web of Science, and CINHAL to identify studies with at least one sleep measure and a psychological health outcome. Effect sizes (ES) were calculated by associations between individual components of sleep and psychological health (eg, sleep quality-depression).

RESULTS

Reviewed studies (n = 32) included 14,648 participants and yielded 219 ES. ES for anxiety/stress were combined due to insufficient data to analyze individually. Average strengths of associations for sleep duration-depression (ES = .52) and sleep duration-anxiety/stress (ES = .48), sleep quality-depression (ES = .55) and sleep quality-anxiety/stress (ES = .58), and insomnia-depression (ES = .67) ranged from medium to large. Marital status, parity, BMI, and meeting sleep recommendations moderated sleep duration-depression and sleep duration-anxiety/stress. SES, gestational age/trimester, parity, and BMI moderated sleep quality-depression and sleep quality-anxiety/stress associations.

CONCLUSIONS

Poor sleep quality and depression are prevalent during pregnancy and may negatively impact maternal and fetal outcomes. Moderating effects suggest that pregnant women of different BMI status and gestational age differ in their sleep habits and depression and anxiety/stress levels. Findings highlight the need to better understand the impact of these associations on maternal-fetal outcomes to inform interventions to improve sleep and psychological health.

Demographic, Pregnancy-Related, and Health-Related Factors in Association with Changes in Sleep Among Pregnant Women with Overweight or Obesity

BACKGROUND

Women with prepregnancy overweight/obesity are at high risk for obstetric complications and cardiometabolic disease. Poorer sleep quality is associated with obesity in non-pregnant individuals and, during pregnancy, poor sleep predicts negative obstetric and health outcomes. This study examined sleep patterns among women with overweight/obesity and factors associated with different sleep trajectories during pregnancy.

METHODS

Women (N = 146, 17-40 years old) with a prepregnancy body mass index ≥ 25 kg/m2 were recruited during early pregnancy. Participants reported demographic information and completed the Pittsburgh Sleep Quality Index (PSQI) at up to six monthly assessments, with the first assessment occurring between 12 and 20 weeks gestation and the final assessment between 35 weeks gestation and delivery. PSQI scores > 5 indicate "poor sleep."

RESULTS

On average, women's PSQI scores were 6.66 ± 3.58 in the first half of pregnancy and were significantly higher (worse) at the end of pregnancy (t(644) = 4.55, p < 0.001), with the greatest change occurring in the third trimester (t(636.3) = 3.72, p < 0.001). Women who currently smoked had poorer sleep than women who did not currently smoke (t(1) = 2.29, p = 0.02). Prepregnancy weight status, age, parity, race, education, and income were not significantly associated with sleep changes (t(1) < 1.76, ps > 0.08). The percentage of women with PSQI scores > 5 (the threshold for poor sleep quality) was 37-63% across assessments, with the greatest increase occurring during the third trimester (t(633) = 2.92, p = 0.004).

CONCLUSIONS

Sleep quality worsens during the third trimester and is associated with current smoking. Future studies of sleep during pregnancy should examine health outcomes among women with overweight/obesity and early intervention to mitigate sleep disturbances as pregnancy progresses.

Maternal sleep quality during early pregnancy, risk factors and its impact on pregnancy outcomes: a prospective cohort study

OBJECTIVES

We aimed to assess the prevalence of poor sleep quality during early pregnancy and its risk factors, and to explore the association between sleep quality and adverse pregnancy outcomes.

METHODS

This was a prospective birth cohort study that included 4352 pregnant women. Sleep quality were assessed using the Pittsburgh Sleep Quality Index (PSQI). The risk factors for poor sleep quality were analyzed by a logistic regression model. Log-binomial regression models were used to analyze the association between sleep quality and pregnancy outcomes.

RESULTS

The prevalence of maternal poor sleep quality during early pregnancy was 34.14%. The multivariate logistic model showed that stillbirth history (OR = 2.45; 95% CI: 1.34, 4.47), history of induced abortion (OR = 1.26; 95% CI: 1.07, 1.49), general health-related quality of life (OR = 3.98; 95% CI: 2.97, 5.34), insufficient physical activity (OR = 1.18; 95% CI: 1.03, 1.36), smoking (OR = 1.59; 95% CI: 1.18, 2.15), and vegetarian (OR = 2.18; 95% CI: 1.54, 3.08) were risk factors for poor sleep quality, while taking folic acid consistently before pregnancy (OR = 0.83; 95% CI: 0.72,0.97) was the protective factor. After controlling for all the confounders, poor sleep quality during early pregnancy increased the risk of premature rupture of membranes by 12% (95% CI: 1.00, 1.25).

CONCLUSION

Pregnant women with a history of stillbirth and induced abortion, general health-related quality of life, insufficient physical activity, smoking, and a vegetarian diet tended to have poor sleep quality. More attention should be paid to healthy lifestyle of pregnant women to improve sleep quality and better pregnancy outcomes.

Socioeconomic Status in Pregnant Women and Sleep Quality During Pregnancy

This review focuses on factors contributing to sleep quality among pregnant women with low socioeconomic statuses during the third trimester of their pregnancy. Electronic searches were conducted, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. We searched for published, peer reviewed, English language primary research articles using electronic databases including PubMed, EMBASE, Ovid, MEDLINE and Google Scholar ending June 2019. All references were reviewed manually and independently by authors. After applying the inclusion criteria, 56 articles were selected; 38 of which are full-text and included in this review. All articles related to the analysis of poor sleep quality among uncomplicated pregnant women were included. Pregnant women with a specific pathology were excluded.

We found poor sleep quality among pregnant women is correlated with low socioeconomic levels. Pregnant women with lower incomes tend to have inadequate diets, which further complicates the health of the mother and the baby. External factors including low income, poor quality of life and poor diet tend to increase the possibility of future health complications in both mother and child, and can result in complications such as preterm labor, low birth weight, preeclampsia, perinatal death, and spontaneous abortion.