Psychosocial impacts, preventive behaviours, and concerns associated with the COVID-19 pandemic for pregnant and non-pregnant women: A matched analysis from the International iCARE Study.

BACKGROUND:  The COVID-19 pandemic negatively affected physical and psychological health worldwide. Pregnant women were likely more vulnerable to mental health difficulties due to the significant social, psychological, and hormonal changes they experience. During the pandemic, higher rates of antenatal depression and anxiety were observed compared to pre-pandemic rates. Increased mental health symptoms in pregnancy have been associated with adverse outcomes for child development. Understanding pandemic-specific preventive behaviours (i.e., mask use, physical distancing) and concerns may also be linked to maternal psychological well-being. PURPOSE: To compare matched pregnant and non-pregnant women (N = 474) to assess COVID-19 psychosocial impacts, preventive behaviours, and concerns. METHODS: This study used a matched analysis of data collected by the International COVID-19 Awareness and Responses Evaluation (iCARE) Study. Participants were matched on several demographic factors and analyses were adjusted for chronic illness and psychiatric disorder. RESULTS: Linear regression analyses indicated that pregnant women did not significantly differ from matched non-pregnant women for psychosocial impacts (B = 0.11, SE = 0.08, p = 0.178). Those who reported a chronic illness (B=-0.19, SE = 0.09, p = 0.036) or a psychiatric disorder (B=-0.28, SE = 0.09, p = 0.003) were more likely to report more significant psychosocial impacts. Logistic regression analyses indicated that pregnant women were more likely to report staying at home rather than going to work (OR = 2.01, 95% CI 1.31-3.08, p = 0.002) and being concerned about being infected (OR = 1.61, 95% CI 1.05-2.46, p = 0.028). CONCLUSIONS: Our findings in the context of the COVID-19 pandemic highlight the need to consider interventions targeting women, with chronic illnesses or psychiatric disorders, as they are often the most vulnerable.

Sleep and Mood Among Women With Histories of Depression When They Used a Responsive Infant Bassinet During the COVID-19 Pandemic.

OBJECTIVE: To describe the experiences of women with histories of depression who used a responsive infant bassinet during the first 6 months after birth during the COVID-19 pandemic. DESIGN: Secondary qualitative descriptive study with analytic expansion. SETTING: United States. PARTICIPANTS: Women (N = 139) who gave birth up to 6 months previously and had histories of depression. METHODS: We used Kyngäs's method of inductive content analysis to analyze 109 open-ended responses that were collected between August 2020 to November 2021 as part of a previously conducted longitudinal study of women who used a responsive bassinet. RESULTS: Most participants indicated that the responsive bassinet improved their infants' sleep, which, in turn, subjectively improved their sleep and mood. External stressors and challenges presented barriers to good sleep for the participants and their infants, and participants described how these challenges contributed to their symptoms related to mood. When participants reported that they used the responsive bassinet, they shared that their infants were swaddled in the supine sleep position. Participants who did not use the bassinet commonly reported unsafe sleep practices. We identified seven themes from the data: Improved Maternal Sleep Quality, Barriers to Good Maternal Sleep, Mood and Sleep Go Hand and Hand, External Stressors Impair Mood, Improved Infant Sleep Quality, Barriers to Good Infant Sleep, and Safe Sleep Positioning. CONCLUSION: These findings can be used to inform clinicians on how a responsive bassinet may offer women at high risk for postpartum depression improved sleep and instrumental support. Future researchers should use validated measures to objectively evaluate rates of postpartum depression and sleep quality in high-risk women when using a responsive bassinet.

Prenatal mood and anxiety disorders and associated cytokine changes.

BACKGROUND: We examined whether women with prenatal mood and anxiety disorders would exhibit differential pro- and anti-inflammatory marker trajectories during the prenatal and postpartum periods compared to women without these disorders. METHODS: Approximately 179 pregnant women participated in a longitudinal study conducted in two urban areas. Blood samples for inflammatory markers were collected at six study visits. The Structured Clinical Interview for the DSM-IV (SCID) was administered to participants scoring above cutoffs on anxiety and depression. Pregnant women with SCID Axis I diagnoses of mood and/or anxiety disorders were compared to other participants on inflammatory markers. Multilevel modeling tested associations between SCID diagnoses and within-person interleukin (IL)6 and IL10 trajectories. RESULTS: Prenatal SCID diagnoses were associated with linear, quadratic and cubic change in IL6 from prenatal to postpartum timepoints. Women with a prenatal SCID diagnosis had steeper decreases and increases in IL6 during prenatal and postpartum periods. SCID diagnoses were associated with lower IL10 in mid-pregnancy to postpartum (b = -0.078, SE = 0.019; p = .015). LIMITATIONS: Future studies would benefit from a larger sample size and a larger number of participants with SCID diagnoses. Future research should also examine whether different prenatal Axis 1 diagnoses are associated with different patterns of immune response in pregnancy. CONCLUSIONS: Pregnant women with prenatal mood and anxiety disorders had greater fluctuations in IL6 across prenatal and postpartum periods and lower IL10 through pregnancy and postpartum. They may have different proinflammatory states that remain after birth without a reciprocal anti-inflammatory response.

Postpartum Insomnia and Poor Sleep Quality Are Longitudinally Predictive of Postpartum Mood Symptoms.

OBJECTIVE: Insomnia and poor sleep quality are frequently reported by perinatal women. Both are noted to increase the risk of postpartum depression, with less known about their association with postpartum anxiety. This study sought to assess whether perinatal sleep disturbances predicted depression and anxiety symptoms across each month of the first 6 months postpartum in women with a history of depression. METHODS: Pregnant women without active depression at enrollment ( N = 159), 18 to 45 years of age, were recruited. In late pregnancy and for up to 6 months postpartum, women completed monthly online questionnaires including the Insomnia Symptom Questionnaire, Pittsburgh Sleep Quality Index, Edinburgh Postnatal Depression Scale, and Generalized Anxiety Disorder-7. Repeated-measures multilevel models were used to predict depression and anxiety across the postpartum. RESULTS: The prevalence of insomnia was 20.4%, and the prevalence of poor sleep quality was 67.8% across the first 6 months postpartum. Postpartum insomnia and poor sleep quality at the between-subject and within-subject levels tended to uniquely predict greater depressive and anxiety symptoms, even after controlling for demographic characteristics, prenatal insomnia, and prenatal poor sleep quality. CONCLUSIONS: Most of the women in our sample had sleep disturbances across the perinatal period. Consistent with the extant literature, postpartum insomnia and poor sleep quality, but not prenatal measures of sleep, longitudinally predicted greater postpartum depression and anxiety symptoms. The chronic sleep deprivation of insomnia and the subjective experience of poor sleep quality are uniquely relevant risks of postpartum mood disorders. Evaluation and mitigation of perinatal sleep disturbance are ideal opportunities to reduce postpartum mood disorders and subsequent health outcomes.

Improvement of Insomnia Symptoms following a Single 4-Hour CBT-I Workshop.

STUDY OBJECTIVES: : Cognitive behavioral treatment for insomnia (CBT-I) is the first line of treatment for insomnia. However, the expanded use of CBT-I is limited by the number of specialty-trained clinicians in addition to the duration and cost of individual treatment sessions. One viable option is a single-session educational group format delivered by a trained health educator. METHODS: : In a preliminary, single group pretest-posttest design, the effectiveness of group CBT-I delivered to community dwelling individuals with self-reported insomnia symptoms was evaluated. Participants completed the Insomnia Severity Index (ISI) and provided information on sleep aid use, prior to and 1-month post attendance of a single 4-hour CBT-I workshop. RESULTS: : Participants (N = 45) were 54 ± 16 years and 71% female. ISI scores significantly improved from baseline (20.09 ± 4.1) to 1-month follow-up (11.89 ±5.7; t = 10.1, p < .001) with an average change of 8.2 ± 5.4 points. Frequency of sleep aid use significantly dropped (χ2 = 105.7, p = .017). Eighty percent of participants reported sleeping better or much better at follow-up. Twenty percent of participants met criteria for remission of insomnia and 35.6% of participants had ISI change scores meeting criteria for a Minimally Important Difference associated with improvements in fatigue, work productivity, and health related quality of life. CONCLUSIONS: : These preliminary data suggest that a single 4-hour CBT-I workshop delivered by a health educator can significantly improve insomnia symptoms, improve subjective sleep quality, and reduce sleep aid use among community dwelling adults with and without co-morbidities within 1-month.

Current knowledge/study rationale: In order to disseminate CBT-I to a broader section of the population with insomnia complaints, novel approaches need to be incorporated and assessed. The utilization of a single 4-hour group CBT-I session may be a suitable choice for many people experiencing insomnia.Study Impact: In comparison to the 4-8 individual sessions commonly available, this format shows promise as another option for treatment of insomnia, and preliminarily shows comparable effectiveness for various sleep outcomes. Moreover, by utilizing a non-clinician health educator to provide these workshops, the number of people that may be helped with CBT-I is increased.Abbreviations: CBT-I: Cognitive Behavioral Treatment for InsomniaCGI: clinical global improvementISI: Insomnia Severity IndexISR: Intensive sleep retrainingMID: Minimally important differenceOTC: Over the counterROC: Receiver operator curveSCID-DSM-V: Structured Clinical Interview for the Diagnostic Statistical Manual-V.

Psychological and physical health behavior deviations in students amidst the COVID-19 pandemic.

Objective: This study sought to understand how the pandemic impacted mental and physical health behaviors in University students. Methods: Undergraduate and graduate students were asked to answer questions on depression, anxiety, stress, sleep quality, and physical activity "prior to" and "during" the shutdown. Results: 457/960 (47.6%) completed the entire survey. Paired samples t-tests showed significant change in mental and physical health behaviors over time. Hierarchical regression models indicated that negative experiences during the shutdown were associated with depression, anxiety, stress, and sleep quality (all p's < .001), but not time spent exercising or sedentary behavior. In addition, positive experiences during the shutdown acted as a buffer. Conclusion: The COVID-19 pandemic shutdown negatively impacted University students. Significant mental and physical health consequences were observed. These effects may linger long past the re-opening of society, and it may be prudent to prepare for additional demand on campus resources.

Students in undergraduate and graduate programs experience daily stress related to finances, workload, and time management, as well as the entry into emerging adulthood. This period of transition and its corresponding stressors are especially concerning when looking at the impact of a global pandemic on public health. The present study substantiates previous research concluding that college student health negatively changed during COVID-19 and extends it to include graduate students and a more extensive view of health behaviors.

Impacts of the Coronavirus Pandemic on the Emotional and Physical Health of Older Adults Compared with Younger Cohorts.

OBJECTIVES: This study compared emotional and physical health and overall well-being related to social restrictions during the pandemic among older, middle-aged, and younger adults in the United States (n = 276). METHODS: Online surveys collected information on mental and physical health, as well as positive and negative impacts of the pandemic. One-way MANOVAs and hierarchical regressions were used to analyze data. RESULTS: Depressive symptoms and coronavirus anxiety differed significantly by age, with older adults reporting less depressive and anxious symptoms than younger cohorts. Negative COVID experiences significantly predicted higher levels of stress, anxiety, and insomnia symptoms in younger adults as compared to older cohorts. CONCLUSIONS: Findings indicate that social restrictions had a more substantial negative impact amongst younger adults compared to older adults, particularly in terms of mental health and well-being. CLINICAL IMPLICATIONS: Older adults may be more resilient to the impacts of the pandemic than younger cohorts and thus may serve as a critical resource for how to navigate crisis situations of this nature. Future studies should continue to monitor health outcomes as the pandemic subsides in conjunction with the vaccine rollout, as the long-term effects of social distancing and stay-at-home measures are yet to be determined.

Inflammatory and immune marker trajectories from pregnancy to one-year post-birth.

BACKGROUND: Pregnancy is an immunomodulatory state, with reported systematic changes in inflammatory and immune activity by pregnancy stage. Published data are inconsistent as to how inflammatory and immune markers change and recover across pregnancy and the postpartum period, or the sociodemographic, health and pregnancy-related factors that could affect biomarker trajectories. The purpose of this study is to describe inflammatory and immune marker trajectories from pregnancy to a year post-birth, and to test associations with sociodemographic, health and pregnancy-related variables. METHODS: A sample of 179 pregnant women were assessed three times during pregnancy (between 8 and 36 weeks gestation) and three times during the postpartum period (between 1 and 12 months). Maternal sociodemographic characteristics, health, and pregnancy factors were obtained at study entry. Blood samples from each assessment were assayed for interleukin(IL)-6, tumor necrosis factor(TNF)α, IL-8, IL-10, and interferon(IFN)γ. Multilevel modelling was used to characterize biomarker trajectories and associations with sociodemographic and health variables. RESULTS: Distinct trajectories over time emerged for each biomarker. Male pregnancies were associated with higher TNFα, IL-10, and IFNγ; higher pre-pregnancy BMI was associated with higher IL-6 and IFNγ. Nulliparity was associated with greater increases in IL-6 and TNFα. CONCLUSIONS: Patterns observed for inflammatory and immune markers from pregnancy to a year postpartum support the hypothesis that the maternal immune system changes systematically across pregnancy and through an extended postpartum period. Parity, pre-pregnancy BMI and child sex are associated with inflammatory marker patterns over time. These results contribute to our understanding of how immune system activity changes from pregnancy to the post-birth period, and the factors that could affect those changes.

Comparison of longitudinal diary and actigraphy-assessed sleep in pregnant women.

STUDY OBJECTIVES: Various methods are employed to assess sleep in pregnant women, including self-report, sleep diary, and actigraphy. Unfortunately, the data are often contradictory, and interpretations are often inconsistent. The current aims are to compare subjective and objective sleep data in pregnant women collected longitudinally in early pregnancy. METHODS: In this secondary analysis of 104 pregnant women, sleep was collected via diary and actigraphy for 14 days during three separate occasions (10-12 weeks; 14-16 weeks; and 18-20 weeks). Sleep variables included wake after sleep onset (WASO), sleep efficiency (SE), bedtime/lights out, sleep onset latency (SL), and total sleep duration (TST). Repeated measures ANOVAs compared each sleep variable across Time and by Method of data collection, while controlling for parity and daytime naps. RESULTS: Significant differences were noted for only the method of data collection for sleep component studied for WASO, F (1, 98) = 147.20, p < 0.001; SE, F (1, 98) = 129.41, p < 0.001); bedtime/lights out, F (1, 103) = 5.33, p < 0.05); and sleep duration, F (1, 104) = 182.75, p < 0.001). Significant variation was not seen in any variable across time-period. CONCLUSIONS: There are substantial discrepancies between diary- and actigraphy-assessed sleep measures in pregnant women which is in alignment with previous literature. These data highlight that these methodologies assess different constructs. We contend that these data may be useful as a reference to compare high-risk women or those with sleep disorders. Using a multi-modal approach to identify sleep disturbance in pregnancy is likely a more clinically useful option.

Sleep Disturbance in Early Pregnancy, but Not Inflammatory Cytokines, May Increase Risk for Adverse Pregnancy Outcomes.

BACKGROUND: It is unclear whether subjective or objective measures of sleep during pregnancy are more pertinent to pregnancy outcomes. Moreover, it is unclear as to whether subjective indices (i.e., those likely influenced by psychological thoughts and emotions) are more likely than objective measures to modify inflammatory cytokines. METHOD: Subjective and objective measures of sleep were collected from 166 pregnant women. Sleep data, both aggregate and variability measures, from diary and actigraphy, were ascertained for three 2-week periods during early gestation (10-20 weeks). A fasting morning blood sample was assayed for the cytokines (IL-6, IFN-γ, and TNF-α). Sleep, stress, and depression questionnaires were also collected. Repeated measures ANOVAs, regression models, and independent t tests were used to analyze the data. RESULTS: Diary-assessed total sleep time (p < .05) and actigraphy-assessed sleep latency (p = .05) were negatively associated with gestational age. Variability in actigraphy-assessed sleep latency (p < .01) was negatively associated with infant weight. None of the cytokines was associated with any of the outcomes. t tests revealed that those with a complication were older (p < .05) and had higher pre-pregnancy BMI (p < .05), higher self-reported stress (p < .05), and lower IFN-γ (p < .05). CONCLUSION: Findings suggest that longer and more variable sleep latency, as well as shorter sleep duration, is associated with shorter gestational age or a lower birth weight infant. Overall, the findings suggest that among a low-risk, healthy sample of pregnant women, sleep disturbance does not pose a substantial risk for adverse delivery outcomes.

Sleep Disturbances and Modulations in Inflammation: Implications for Pregnancy Health.

When a woman becomes pregnant, there is a vast series of physiological, vascular, and psychological changes. Among the most commonly reported changes are those involving sleep. Pregnant women report that their ability to maintain sleep and acquire continuous refreshing sleep is impaired during the perinatal period as compared to the non-pregnant period. A growing literature supports the hypothesis that disturbed sleep (which comes in many forms) during the perinatal period is associated with an increased risk of adverse maternal, delivery, and infant outcomes. Among the suggested biological pathways linking sleep and adverse outcomes are disturbances in the immune and hormonal systems. The following paper will discuss (1) the various sleep processes that are commonly disturbed during the perinatal period and the methods used to collect sleep data; (2) the evidence linking sleep to adverse outcomes; and (3) how one specific biological pathway, the immune system, likely mediates these associations. The goal of this paper is to clarify the role that sleep disturbance has during pregnancy.

Link between insomnia and perinatal depressive symptoms: A meta-analysis.

Evidence shows the possible link between insomnia and perinatal depressive symptoms. In order to find a convergent quantitative answer, we collected data via the search of Medline, EMBASE and reference tracking, which included nine studies (a total sample of 1,922 women). An aggregate effect size estimate (correlation coefficient) was generated using the comprehensive meta-analysis software. For the meta-analytic procedure, a random effects model was set a priori. Moderating factors, including study design, method of assessment of depression, geographical origin of data, publication year, mean age, % married, breastfeeding rate, quality and type of data, % primiparous and history of depression, were examined via categorical or univariate mixed-effects (method of moments) meta-regression methods. Heterogeneity and publication bias were examined using standard meta-analytic approaches. We found a significant, medium-size relationship between insomnia and perinatal depressive symptoms (point estimate, 0.366; 95% confidence interval [CI], 0.205-0.508; p < 0.001; n = 9) and this was significantly heterogeneous (Q, 118.77; df, 8; p < 0.001; I2 , 93.26%). The effect size estimate was significant for studies reporting no history of depression (point estimate, 0.364; 95% CI, 0.035-0.622; p < 0.05; n = 5) and for study design. With meta-regression, no moderating factor (age, marriage rate, breastfeeding rate, pregnancy history or publication year) significantly mediated the effect size estimate. The depression assessment scale used, but not other categorical variables, explained the magnitude of heterogeneity. We found that insomnia during the perinatal period is associated with depressive symptoms, which warrants screening pregnant mothers for insomnia and depression.

Poor sleep quality increases symptoms of depression and anxiety in postpartum women.

This study evaluated the relationship between sleep quality and symptoms of depression and anxiety in women studied in pregnancy and postpartum. Scores on standardized measures of sleep (PSQI) at 6 months postpartum, and symptoms of anxiety and depression (OASIS, the PHQ9, and EPDS) were assessed by structured interviews in 116 women in pregnancy and/or postpartum. Poor sleep quality was significantly associated with greater symptoms of depression and anxiety. Women who had significantly higher OASIS (anxiety) scores (ß = .530, p < .001), PHQ9 (depression) scores (ß = .496, p < .001), and EPDS (postpartum depression and anxiety) scores (ß = .585, p < .001) also had elevated total PSQI scores after adjustment for covariates, including prenatal depression and anxiety scores. Though inferences about causality are not feasible, these results support emerging research showing sleep quality is a risk factor for negative maternal affect in the postpartum period. Assessment of maternal sleep hygiene is worth consideration as a component of identifying women at risk for postpartum depression and anxiety.

Concurrent insomnia and habitual snoring are associated with adverse pregnancy outcomes.

OBJECTIVES: Pregnant women report disturbed sleep, including habitual snoring and insomnia. The co-occurrence among non-pregnant cohorts is 30%-50% with increased risk for adverse health outcomes. To date, no study has examined the comorbid status or impact in pregnant women. METHODS: The prevalence of insomnia (INS) and habitual snoring (HS) were examined in 439 women in the third trimester (34.1 ± 3.7 weeks). Habitual snoring (snoring ≥3 times/week) was self-reported. Insomnia was determined using the Insomnia Symptom Questionnaire (ISQ). RESULTS: Four groups emerged: HS-/ISQ- (n = 161; 36.7%), HS-/ISQ+ (n = 146; 33.3%), HS+/ISQ- (n = 63; 14.4%), and HS+/ISQ+ (n = 69; 15.7%). Logistic regression models revealed both independent associations, as well as comorbid HS/INS status with excessive daytime sleepiness (aOR 3.8, 95%CI 2.3-6.5, p < 0.001; aOR 2.2, 95%CI 1.1-4.4, p = 0.02; aOR 7.2, 95%CI 3.7-14.0, p < 0.001, respectively). Only comorbid HS/INS was associated with gestational hypertension (aOR 3.2 95%CI 1.0-10.6, p = 0.048). Insomnia alone and HS alone were associated with a baby born large for gestational age (aOR 2.9 95%CI 1.2-7.1, p = 0.019 and aOR 3.5, 95%CI 1.1-11.1, p = 0.034 respectively) but however, the comorbid state was not significantly associated with LGA. Only women with HS alone were at increased odds of having an unplanned cesarean section (aOR 2.2 95%CI 1.0-4.6, p = 0.046). CONCLUSIONS: Both insomnia alone and comorbid insomnia/habitual snoring were associated with adverse outcomes even after accounting for confounders. These findings are clinically relevant since adverse pregnancy outcomes may have severe consequences for both mother and baby. In order to mitigate these outcomes, identifying viable treatment(s) for women at risk should be considered a high priority.

Exercise during early pregnancy is associated with greater sleep continuity.

OBJECTIVES/BACKGROUND: Pregnant women report disturbed sleep beginning in early pregnancy. Among nonpregnant populations, exercise has been associated with improved sleep; however, research in pregnant samples has been equivocal. We examined whether varying degrees of exercise were associated with better nocturnal sleep among pregnant women during early gestation. PARTICIPANTS: 172 pregnant women. METHODS: Self-reported sleep and exercise and objective sleep were collected during early gestation: T1 (10-12 weeks), T2 (14-16 weeks), and T3 (18-20 weeks) from 172 pregnant women. Exercise was categorized into three time-varying groups: 0 metabolic equivalent minutes per week (MET-min/week), 1 to < 500 MET-min/week, or ≥ 500 MET-min/week. Linear mixed-effects models were employed to test hypotheses. RESULTS: A significant main effect for Time (F[2,254] = 9.77, p < 0.0001) and Time*Exercise group interaction were observed for actigraphic sleep efficiency (aSE) (F[4,569] = 2.73, p = 0.0285). At T2, women who reported ≥ 500 MET-min/week had higher aSE than those who reported 0 MET-min/week. Significant main effects for Exercise Group and Time were observed for actigraphic wake after sleep onset (aWASO; F[2,694] = 3.04, p = 0.0483 and F[2,260] = 3.21, p = 0.0419). aWASO was lowest for those reporting 1 to < 500 MET-min/week (t[701] = 2.35, adjusted p = .0489) and aWASO decreased from T1 to T3 (t[258] = 2.53, adjusted p value = 0.036). Lastly, there was a main effect for Time for the PSQI (F[2,689] = 52.11, p < 0.0001), indicating that sleep quality improved over time. CONCLUSIONS: Some level of exercise among pregnant women appears to be more advantageous than no exercise at all. Moderate exercise, while still unclearly defined, may be a worthwhile adjunct treatment to combat sleep disturbances during pregnancy.

Allostatic load in early pregnancy is associated with poor sleep quality.

BACKGROUND: Allostatic load (AL) measures the cumulative impact of chronic stress and is associated with adverse health outcomes. A novel scoring system has previously been developed for AL in early pregnancy that is associated with pre-eclampsia. It was hypothesized that AL, as identified by the present model, is associated with psychosocial stressors and, specifically, poor sleep quality. METHODS: Women were selected from a low-risk, community-dwelling study population who enrolled at <15 weeks gestation. Nine physiologic components were divided among the domains of cardiovascular, metabolic, and inflammatory function. Spearman's rank correlations were used to examine the association of AL with age, income, the Revised Prenatal Distress Questionnaire (NuPDQ), Inventory of Depressive Symptoms (IDS), and Pittsburgh Sleep Quality Index (PSQI). The Wilcoxon rank-sum test was used to compare AL by race and educational attainment. RESULTS: A total of 103 women were identified, with: a mean age of 29.8 ± 5.0 years, 17.5% black, and mean gestational age 12.2 ± 1.1 weeks. Allostatic load was positively correlated with the PSQI (ρ = 0.23, p = 0.018). There were no associations with age, income, prenatal distress, race, or depression scores. College-educated women had lower AL compared with those with less education (0.57 ± 0.43 vs 0.81 ± 0.55, p = 0.045). CONCLUSION: Higher AL, measured by the pregnancy-specific model, was associated with poorer sleep quality and lower educational attainment, both of which were considered to be chronic stressors. These relationships were consistent with previous findings in non-pregnant populations, and suggest that AL may be useful for capturing the physiologic impact of chronic stress in early pregnancy.

Disturbed Sleep and Postpartum Depression.

The perinatal period introduces a myriad of changes. One important but often overlooked change is an increased reporting of sleep disturbance. Although casually regarded as a consequence of pregnancy or postpartum, there is emerging evidence implicating significant sleep disturbance, characterized by insomnia symptoms and/or poor sleep quality, with adverse outcomes, such as an increase in depressive symptomatology or the development postpartum depression (PPD). Significant consequences may arise as a result including issues with maternal-infant bonding, effective care for the infant, and behavioral or emotional difficulties in the infant. This review discusses the relevant literature as to how disturbed sleep during pregnancy as well as in the postpartum may increase the risk for PPD.

Sleep and postpartum depression.

PURPOSE OF REVIEW: The perinatal period introduces a myriad of changes. One important but often overlooked change is the increased risk for sleep disturbance. Although casually regarded as a consequence of pregnancy or postpartum, there is emerging evidence to suggest that women with significant sleep disturbance, characterized by insomnia symptoms and/or poor sleep quality, are more likely to report an increase in depressive symptomatology or develop postpartum depression (PPD). Significant consequences may arise as a result including issues with maternal-infant bonding, effective care for the infant and behavioral or emotional difficulties in the infant. This review discusses the relevant literature as to how disturbed sleep during pregnancy as well as in the postpartum may increase the risk for PPD. RECENT FINDINGS: Symptoms of insomnia and poor sleep quality are independently associated with greater depressive symptoms across pregnancy and throughout postpartum. Likewise, both can negatively impact the ability to mother effectively. SUMMARY: The presence of insomnia or sleep disturbance during the perinatal period is a risk factor for depressive symptoms. Women with depression are at an increased risk of developing sleep disturbance thereby increasing depressive symptomatology. This bidirectional and additive relationship needs more clinical attention as both sleep disturbance and depression are noted risk factors for adverse pregnancy outcomes.

Minimal Effect of Daytime Napping Behavior on Nocturnal Sleep in Pregnant Women.

STUDY OBJECTIVES: To assess whether daytime naps negatively impact nocturnal sleep. DESIGN: Longitudinal, prospective cohort design. PARTICIPANTS: 161 pregnant women recruited and evaluated in early gestation (10-20 weeks). MEASUREMENTS AND RESULTS: Daily sleep information was collected in three 2-week periods (10-12, 14-16, and 18-20 weeks gestation) with a daily sleep diary and an actigraph. The average number of naps, as well as the average length of each nap, were calculated from sleep diaries. Women were categorized first as non nappers (0 naps/2-week period), moderate nappers (1-3 naps/2-week period), or frequent nappers (≥ 4 naps/2-week period). Then, based on the average nap length, they were categorized as short (< 90 min) or long (≥ 90 min) nappers. Nocturnal sleep parameters included SOL, WASO, SE, and TST. SAS procedure MIXED was used for modeling the main effects of nap group and time, and time by nap group interactions. Women who took naps had a decrease in diary-assessed nocturnal TST, but not actigraphy-assessed TST. This observation was group- and time-specific. There were no other group differences. Women who napped ≥ 90 min had poorer diary-assessed SE and lower diary-assessed TST than those who took shorter naps. Length of nap was not associated with any other sleep measures. CONCLUSIONS: The number of daytime naps have minimal impact on nocturnal sleep parameters; however, long nappers did exhibit modestly impaired sleep continuity and sleep quality. Overall, we propose that daytime naps provide a beneficial countermeasure to the sleep disruption commonly reported by pregnant women. This may be clinically beneficial given that sleep continuity and quality are important correlates of pregnancy outcomes. COMMENTARY: A commentary on this article appears in this issue on page 593.

Identifying Insomnia in Early Pregnancy: Validation of the Insomnia Symptoms Questionnaire (ISQ) in Pregnant Women.

STUDY OBJECTIVES: Although a substantial number of pregnant women report symptoms of insomnia, few studies have used a validated instrument to determine the prevalence in early gestation. Identification of insomnia in pregnancy is vital given the strong connection between insomnia and the incidence of depression, cardiovascular disease, or immune dysregulation. The goal of this paper is to provide additional psychometric evaluation and validation of the Insomnia Symptom Questionnaire (ISQ) and to establish prevalence rates of insomnia among a cohort of pregnant women during early gestation. METHODS: The ISQ was evaluated in 143 pregnant women at 12 weeks gestation. The internal consistency and criterion validity of the dichotomized ISQ were compared to traditional measures of sleep from sleep diaries, actigraphy, and the Pittsburgh Sleep Quality Index using indices of sensitivity, specificity, positive and negative predictive value (PPV, NPV), and likelihood ratio (LR) tests. RESULTS: The ISQ identified 12.6% of the sample as meeting a case definition of insomnia, consistent with established diagnostic criteria. Good reliability was established with Cronbach α = 0.86. The ISQ had high specificity (most > 85%), but sensitivity, PPV, NPV, and LRs varied according to which sleep measure was used as the validating criterion. CONCLUSIONS: Insomnia is a health problem for many pregnant women at all stages in pregnancy. These data support the validity and reliability of the ISQ to identify insomnia in pregnant women. The ISQ is a short and cost-effective tool that can be quickly employed in large observational studies or in clinical practice where perinatal women are seen. COMMENTARY: A commentary on this article appears in this issue on page 593.