Abstract
Background:
Physiological changes during pregnancy are often accompanied by reduced sleep quality, sleep disruptions, and insomnia. Studies conducted among men and non-pregnant women have documented psychiatric disorders as common comorbidities of insomnia and other sleep disorders. However, no previous study has examined the association between stress-related sleep disturbances and psychiatric disorders among pregnant women.
Methods:
This cross-sectional study included a total of 2,051 pregnant women in Peru. The Spanish-language version of Ford Insomnia Response to Stress Test (FIRST-S) was used to assess sleep disruptions due to stressful situations. Symptoms of antepartum depression, generalized anxiety disorder, and posttraumatic stress disorder (PTSD) were examined using the Patient Health Questionnaire-9, Generalized Anxiety Disorder Scale-7 and PTSD Checklist – Civilian Version, respectively. High risk for psychosis was assessed using the Prodromal Questionnaire. Multivariable logistic regression procedures were used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CI).
Results:
Stress-related sleep disturbance was reported by 33.2% of women. Of all women, 24.9% had antepartum depression, 32.2% had generalized anxiety disorder, 30.9% had PTSD, and 27.6% were assessed as having a high risk of psychosis. After adjusting for confounders, women with stress-related sleep disturbances were more likely to experience antepartum depression (OR=2.74; 95%CI: 2.22–3.38), generalized anxiety disorder (OR=2.48; 95%CI: 2.04–3.02), PTSD (OR=2.36; 95%CI: 1.93–2.88), and high risk for psychosis (OR=2.07; 95%CI: 1.69–2.54) as compared to women without stress-related sleep disturbances.
Conclusions:
Stress-related sleep disturbances during pregnancy are associated with increased odds of psychiatric disorders. Inquiring about stress related sleep disturbances during antenatal care may be beneficial for identifying and caring for women at high risk of psychiatric disorders.
Keywords: stress, depression, anxiety, posttraumatic stress disorder, psychosis, pregnancy
Introduction
Physiological, social and behavioral changes during pregnancy are known to contribute to poor sleep quality1. In a recent meta-analysis, approximately 45.7% of pregnant women were found to experience poor sleep with significant decreases in sleep quality throughout pregnancy.2 Furthermore, previous studies have shown antepartum sleep disturbances are associated with adverse pregnancy outcomes including gestational hypertension 3,4, pre-eclampsia 5, abnormal duration of labor 6,7, mode of delivery 7–9, and preterm birth 10,11. The high prevalence of maternal antepartum sleep disturbances and their association with a myriad of important obstetrical and perinatal outcomes warrant further research to examine modifiable factors contributing to disturbances in sleep during pregnancy.
Stress-related sleep disturbances may be clinically useful as screening tools for detecting women at high risk for developing psychiatric disorders during pregnancy. Studies conducted among men and non-pregnant women have shown the comorbidity and predictive value of stress-related sleep disturbances with depression 12,13, anxiety 14, and PTSD 15,16, and psychosis 17. Little is known, however, about the associations between stress-related sleep disturbances and psychiatric disorders among pregnant women. Furthermore, most previous studies on psychiatric disorders among women are conducted in high income countries – this despite the fact that the burden of maternal depression, anxiety and PTSD is substantially higher in low- and middle-income countries (LAMICs) 18–21. Given the (1) high burden of psychiatric disorders in LAMICs, and (2) absence of evidence on the association between sleep disturbances and psychiatric disorders during pregnancy, we sought to examine the association of sleep disturbances due to stressful situations with antepartum depression, generalized anxiety disorder, PTSD, and psychosis among a cohort of Peruvian pregnant women.
Methods:
Study population
Participants from the Pregnancy Outcomes, Maternal, and Infant Study (PROMIS) were included in this present study. PrOMIS, a prospective cohort study of pregnant women, was designed to examine maternal, social, and behavioral risk factors in the development of adverse maternal and perinatal outcomes among women attending prenatal clinics at the Instituto Nacional Materno Perinatal (INMP) in Lima, Peru. The INMP is operated by the Peruvian Ministry of Health and is the primary reference establishment for maternal and prenatal care in Peru. The PROMIS cohort has been described previously 22,23. Participants were eligible if they were at least 18 years old, able to speak and read Spanish, and were less than 16 weeks of gestational age. All participants provided written informed consent. Study procedures were approved by the institutional review boards of the INMP, Lima, Peru and the Office of Human Research Administration at the Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Ford Insomnia Response to Stress Test (FIRST)
The Ford Insomnia Response to Stress Test (FIRST) is a widely used instrument to assess the likelihood of insomnia and sleep disruptions following stressful conditions 24,25. The FIRST)was used to assess the likelihood of sleep disruptions due to stressful situations and broadly-described periods of stress during the day or evening 24. Participants rated how likely they had difficulty sleeping when they had recently experienced the following 9 items: 1) before an important meeting the next day; 2) after a stressful experience during the day; 3) after a stressful experience in the evening; 4) after getting bad news during the day; 5) after watching a frightening movie or television show; 6) after having a bad day at work; 7) after an argument; 8) before having to speak in public; and 9) before going on vacation the next day. The response categories were scored on a Likert scale from 0 to 4 with the response categories “not likely,” “somewhat likely,” “moderately likely,” and “very likely.” Total scores range from 9 to 36. Two clinically significant FIRST cutoff values were identified in a prior study FIRST ≥ 16 (sensitivity 77%; specificity 50%) and FIRST ≥ 18 (sensitivity 62%; specificity 67%)26. For the purposes of our analysis, we defined presence of stress-related sleep disturbances (i.e., sleep reactivity) as FIRST ≥ 18. We also performed the analysis with the FIRST ≥ 16 cutoff and the results remained virtually unchanged. Furthermore, the Spanish-language version of the FIRST questionnaire has been found to have excellent reliability and good construct validity in this study population27.
Depression
A Spanish-language version of the Patient Health Questionnaire-9 (PHQ-9) was used to evaluate maternal antepartum depressive symptoms 28. The PHQ-9 is a 9-item screening instrument that assesses depression in the 14 days prior to evaluation. PHQ-9 score is calculated by assigning scores of 0–3 to the following response categories: “not at all” “several days” “more than half the days” and “nearly every day.” Depression was defined as a score ≥ 10. The Spanish-language PHQ-9 has been previously validated in Spanish-language and among pregnant populations women 29–31.
Generalized anxiety disorder
Generalized anxiety disorder was assessed using a Spanish-language version of the Generalized Anxiety Disorder Questionnaire (GAD-7). The 7-item GAD-7 examines the following symptoms in the 14 days prior to screening: 1) nervousness; 2) inability to stop worrying; 3) excessive worry; 4) restlessness; 5) difficulty in relaxing; 6) easily irritated; and 7) fear of something awful happening. GAD-7 score is calculated by assigning scores of 0–3 to the response categories of “not at all” “several days” “more than half the days” and “nearly every day.” GAD-7 total score ranges from 0 to 21. A cutoff of 10 or higher was used to assess presence of anxiety among participants. The GAD-7 has previously been validated among pregnant Peruvian women 32.
Posttraumatic stress disorder
Posttraumatic Stress Disorder (PTSD) was evaluated in our population using a Spanish-language version of the PTSD Checklist – Civilian Version (PCL-C). 33 The PCL-C includes 17 items that reflect Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria 34. Participants were asked about how bothered they were by each item over the past month on a 5-point Likert scale with regard to their most significant life event stressor. Total scores on the PCL-C range from 17 to 85. We used a PCL-C score of 26 or higher to indicate presence of PTSD in our population. The PCL-C cutoff has previously been validated in this population with a 86% sensitivity and 63% specificity in diagnosing PTSD 33.
Psychosis
The 16-item Prodromal Questionnaire (PQ-16) assessed the presence of psychotic symptoms 35. The PQ-16 assesses lifetime symptoms of psychosis-like experiences on a two-point scale (true/false). PQ-raw scores are the total number of true responses on the questionnaire. Participants with scores ≥ 6 were classified as high risk for psychosis. The PQ-16 also assesses degree of distress caused by each item on a Likert scale from 0 to 3. Total scores were summed by totaling distress ratings for each experience. An average distress score was calculated by dividing a participant’s PQ-total by PQ-raw score, to provide a measure of the average degree of distress per item endorsed. Average distress had a range of zero to 3. The psychometric properties of the Spanish-language version of the PQ-16 has previously been examined in this population and found to have a good construct validity 36.
Additional covariates
Trained interviewers used structured questionnaires to collect information from participants on sociodemographic and pregnancy characteristics. Participants’ age was categorized as follows: 18–19, 20–29, 30–34, and ≥ 35 years. Other sociodemographic variables included were race/ethnicity (Mestizo vs. others), marital status (married or living with partner vs. others), years of education (≤6, 7–12, and >12 years), employment status (yes vs. no), difficulty accessing basic foods (hard vs. not very hard) and difficulty accessing medical care (hard vs. not very hard). Pregnancy-related characteristics included were parity (nulliparous vs. multiparous), planned pregnancy (yes vs. no), tobacco smoking before or during pregnancy (yes vs. no), alcohol consumption during pregnancy (yes vs. no), and gestational age at interview (in weeks). Early pregnancy body mass index (BMI) (kg/m2) was calculated from the participants’ weight measured to the nearest 0.1kg and height measured with a telescopic height instrument to the nearest 0.1cm and categorized as: <18.5, 18.5–24.9, 25–29.9, ≥30 kg/m2.
Analytic population
A total of 2,068 participants were eligible for inclusion in the study. We excluded 6 participants due to missing information on the FIRST questionnaire, 6 on PHQ-9, 2 on GAD7, 5 on PCL-C, and 5 on PQ-16. A total of 2,051 participants remained in the present analysis.
Statistical analysis
We first examined sociodemographic and pregnancy characteristics using number (n) and percentages (%) for categorical variables and mean and standard deviation (SD) for continuous variables. For categorical values, p-values were calculated using the Chi-square test. For continuous variables, p-values were calculated using analysis of variance (ANOVAs). Multivariable logistic regressions were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between stress-related sleep disturbances and maternal psychiatric symptoms. Potential a priori confounders (i.e., maternal age, education, and parity) were included in the models. All statistical analyses were performed using IBM SPSS Statistics 25.0 (SPSS Inc, Chicago, Illinois).
Results
Sociodemographic, pregnancy, and psychiatric characteristics of the population are presented in Table 1. The mean age of women was 27.92 years (standard deviation (SD)=6.28), and mean gestational age at interview was 11.10 (SD=3.95) weeks of gestation. The majority of women were Mestizos (a race/ethnicity of mixed Amerindian and European descent; 80.6%), had more than 12 years of education (56.1%), were married or living with a partner (82.7%), and were not employed (50.6%). Difficulty in accessing basic foods was reported by 56.9% of women. Women were more likely to be multiparous (54.2%), have an unplanned pregnancy (61.6%), and a normal BMI (18.5–24.9 kg/m2) during early pregnancy (45.6%). Although 2.0% of women reported tobacco smoking during pregnancy while 5.3% of them reported consuming alcohol during the current pregnancy (Table 1).
Table 1:
Sociodemographic, reproductive, and psychiatric characteristics of study population
| Characteristics | All participants (N = 2,051) | No stress-related sleep disturbance (N = 1,370) | Stress-related sleep disturbance (N = 681) | P-value | |||
|---|---|---|---|---|---|---|---|
|
|
|||||||
| n | % | n | % | n | % | ||
|
| |||||||
| Demographics | |||||||
| Age (years) a | 27.92 ± 6.28 | 27.78 ± 6.32 | 28.21 ± 6.21 | 0.148 | |||
| Age (years) | |||||||
| 18–19 | 130 | 6.3 | 94 | 6.9 | 36 | 5.3 | 0.094 |
| 20–29 | 1140 | 55.6 | 755 | 55.1 | 385 | 56.5 | |
| 30–34 | 429 | 20.9 | 300 | 21.9 | 129 | 18.9 | |
| ≥35 | 352 | 17.2 | 221 | 16.1 | 131 | 19.2 | |
| Education (years) | |||||||
| ≤6 | 26 | 1.3 | 18 | 1.3 | 8 | 1.2 | 0.045 |
| 7–12 | 871 | 42.6 | 608 | 44.5 | 263 | 38.8 | |
| >12 | 1146 | 56.1 | 740 | 54.2 | 406 | 60.0 | |
| Mestizo ethnicity | 1652 | 80.6 | 1091 | 79.7 | 561 | 82.5 | 0.130 |
| Married/living with a partner | 1695 | 82.7 | 1124 | 82.2 | 571 | 83.8 | 0.342 |
| Employed | 1014 | 49.4 | 681 | 49.7 | 333 | 48.9 | 0.730 |
| Difficulty accessing basic food | 881 | 43.1 | 560 | 41.0 | 321 | 47.3 | 0.007 |
| Gestational age at interview a | 11.10 ± 3.95 | 11.16 ± 3.99 | 10.96 ± 3.87 | 0.279 | |||
| Early pregnancy BMI (kg/m2) | |||||||
| <18.5 | 39 | 1.9 | 27 | 2.0 | 12 | 1.8 | 0.579 |
| 18.5–24.9 | 927 | 45.6 | 618 | 45.5 | 309 | 45.8 | |
| 25–29.9 | 772 | 38.0 | 525 | 38.7 | 247 | 36.6 | |
| ≥30 | 294 | 14.5 | 187 | 13.8 | 107 | 15.9 | |
| Nulliparous | 938 | 45.8 | 642 | 46.9 | 296 | 43.5 | 0.154 |
| Planned pregnancy | 785 | 38.4 | 522 | 38.2 | 263 | 38.7 | 0.839 |
| Tobacco smoking during pregnancy | 41 | 2.0 | 27 | 2.0 | 14 | 2.1 | 0.899 |
| Alcohol consumption during pregnancy | 108 | 5.3 | 63 | 4.6 | 45 | 6.6 | 0.052 |
| Psychiatric characteristics | |||||||
| PHQ-9 score a | 7.00 ± 4.37 | 6.18 ± 3.91 | 8.62 ± 4.75 | <0.001 | |||
| Depression (PHQ-9 ≥10) | 511 24.9 | 253 18.5 | 258 37.9 | <0.001 | |||
| GAD-7 score a | 5.22 ± 3.84 | 4.49 ± 3.41 | 6.71 ± 4.18 | <0.001 | |||
| Generalized anxiety disorder (GAD-7 ≥7) | 661 32.2 | 348 25.4 | 313 46.0 | <0.001 | |||
| PCL-C score a | 23.70 ± 7.72 | 22.55 ± 6.46 | 26.02 ± 9.37 | <0.001 | |||
| PTSD (PCL-C ≥26) | 633 30.9 | 338 24.7 | 295 43.3 | <0.001 | |||
| PQ-16 score a | 4.05 ± 2.96 | 3.67 ± 2.81 | 4.79 ± 3.13 | <0.001 | |||
| High risk for psychosis (PQ-16 ≥6) | 566 27.6 | 314 22.9 | 252 37.0 | <0.001 | |||
For continuous variables, P-value was calculated using ANOVA; for categorical values, P-value was calculated using Chi-square test. Abbreviations: BMI, Body Mass Index; PHQ-9, Patient Health Questionnaire-9; GAD-7, Generalized anxiety disorder questionnaire-7; PTSD, posttraumatic stress disorder; PCL-C, PTSD Checklist – Civilian Version (PCL-C); PQ-16, Prodromal Questionnaire
Mean ± standard deviation (SD)
Stress-related sleep disturbances were reported by 33.2% of women. The prevalence of depression, generalized anxiety disorder, PTSD were 24.9%, 32.2%, 30.9%, respectively. Of note, 27.6% of the study population was classified as being at a high risk of psychosis. Compared to women with no stress-related sleep disturbances, those with stress-related sleep disturbances were more likely to have difficulty accessing basic food (p=0.007. Women with stress-related sleep disorders were also significantly more likely to report antepartum depression (18.5 vs. 37.9%, p<0.001), generalized anxiety disorder (25.4 vs. 46.0%, p<0.001), PTSD (24.7 vs. 43.3%, p<0.001), and high risk for psychosis (22.9 vs. 37.0%, p<0.001) compared to those without stress-related sleep disturbances (Table 1).
Stress-related sleep disturbances were positively and statistically significantly associated with each of the psychiatric disorders studied (Table 2). Compared to women with no stress-related sleep disturbances, those with stress-related sleep disturbances had 2.69-fold higher odds of antepartum depression (OR=2.69; 95%CI:2.19–3.31). After adjusting for confounders, women with stress-related sleep disturbances had 2.74-fold higher odds of antepartum depression (aOR=2.22; 95%CI: 2.22–3.38). Women with stress-related sleep disturbances had 2.50-fold higher odds of generalized anxiety disorder compared to those without stress-related sleep disturbances (OR=2.50; 95%CI: 2.06–3.03). The association remained robust after adjusting for confounders (aOR=2.48; 95%CI: 2.04–3.02). Compared to those without stress-related sleep disturbances, women with sleep disturbances had elevated risk of PTSD (aOR=2.36; 95%CI: 1.93–2.88) and high risk of psychosis (aOR=2.07; 95%CI: 1.69–2.54).
Table 2.
Association of stress related sleep disturbances with psychiatric disorders during pregnancy (N=2,051)
| No psychiatric disorder | Psychiatric disorder | |||||
|---|---|---|---|---|---|---|
|
|
||||||
| N | % | N | % | Unadjusted OR (95% CI) | Adjusted OR (95% CI) a | |
|
| ||||||
| Depression | ||||||
| No stress-related sleep disturbance | 1117 | 72.5 | 253 | 49.5 | Reference | Reference |
| Stress-related sleep disturbance | 423 | 27.5 | 258 | 50.5 | 2.69 (2.19–3.31) | 2.74 (2.22–3.38) |
| Generalized anxiety disorder | ||||||
| No stress-related sleep disturbance | 1022 | 73.5 | 348 | 52.6 | Reference | Reference |
| Stress-related sleep disturbance | 368 | 26.5 | 313 | 47.4 | 2.50 (2.06–3.03) | 2.48 (2.04–3.02) |
| PTSD | ||||||
| No stress-related sleep disturbance | 1032 | 72.8 | 338 | 53.4 | Reference | Reference |
| Stress-related sleep disturbance | 386 | 27.2 | 295 | 46.6 | 2.33 (1.92–2.84) | 2.36 (1.93–2.88) |
| Risk for psychosis | ||||||
| No stress-related sleep disturbance | 1056 | 71.1 | 314 | 55.5 | Reference | Reference |
| Stress-related sleep disturbance | 429 | 28.9 | 252 | 44.5 | 1.98 (1.62–2.41) | 2.07 (1.69–2.54) |
Abbreviations: OR, odds ratio; CI, confidence interval; PTSD, posttraumatic stress disorder.
Adjusted for age (continuous), marital status (married vs. others), education (categories), parity (nulliparous vs. others), difficulty paying for the very basics (hard vs. not very hard)
Discussion
Stress-related sleep disturbances during pregnancy were highly comorbid and positively associated with psychiatric disorders in this cohort of pregnant Peruvian women. Compared to women without stress-related sleep disturbances, those with stress-related sleep disturbances had statistically significantly higher odds of antepartum depression, generalized anxiety disorder, PTSD, and a high risk for psychosis.
To our knowledge, there is one study that evaluated sleep reactivity in relation to psychiatric disorders. Palagini et al in their study of 62 pregnant women in Italy found that the prevalence of high stress-related sleep reactivity was 46.7.37 Those with high stress-related sleep reactivity (FIRST scores ≥ 16) reported higher prevalence of depression (62.0% vs 6.1%, p < 0.001) and anxiety (55.1% vs 15.1%, p < 0.030) compared to women with low sleep reactivity (FIRST scores < 16). Our study extends this observation by examining the magnitude of association between sleep reactivity and psychiatric disorders in a large cohort of pregnant women. Although we are not able to directly compare our findings with those from other pregnancy cohorts, our findings can be tentatively compared with published studies that have associations between sleep disturbances and psychiatric disorders among men and non-pregnant women. For instance, in their study of 177 insomnia patients and 161 controls, Nakajima et al (14) reported that higher scores on a Japanese-language version of the FIRST questionnaire, indicative of sleep reactivity, were statistically significantly and positively correlated with scores on the State-Trait Anxiety Inventory (r=0.45 among insomnia patients and r=0.47 among controls, p<0.01 )14. In a subsequent study of 2,645 Japanese government employees Nakajima and colleagues reported that individuals with high (≥ 19) FIRST scores had 1.78-fold increased odds of depression (99%CI: 1.24–2.49) as compared to those with low FIRST (< 18) scores 38. While few previous studies have examined sleep reactivity, other measures of sleep reactivity have associations with psychiatric disorders. Among men and non-pregnant women, sleep disturbances are associated with depression 39,40, anxiety 41,42, PTSD 42,43, and psychosis 44. On balance, the available literature 45 including our new findings suggest that the associations of sleep reactivity with psychiatric symptoms and disorders are robust in that they have been documented in men, pregnant and non-pregnant women across vast geographical regions, across socioeconomic spectrum of high and low-income societies and using a number of different instruments to assess sleep reactivity and vulnerability to insomnia.
However, some limitations should be considered when interpreting the results from our study. Exposure and outcome assessment measures in our study were cross-sectional and based on self-report. Consequently, reported measures of association may be subject to non-systematic recall errors and systematic non-disclosure leading to misclassification. To help decrease the likelihood of reporting errors, well-trained interviewers used standardized questionnaires to collect information from participants. Additionally, interviewers and participants were unaware of specific study hypotheses. We also used previously validated assessment instruments to measure stress-related sleep disturbances and psychiatric disorders. Self-reported questionnaires are subjective measures of sleep disturbances and psychiatric disorders, which may introduce errors, although these are inherently symptom-based disorders. Furthermore, the measures we included for sleep reactivity 27, depression 30,31, generalized anxiety disorder 32, PTSD 33, and risk of psychosis 36 have all been previously validated in our study population. Lastly, our study participants were low-income pregnant women in Lima, Peru, and may not be generalizable to other pregnant populations. Future studies are also warranted to assess if sleep reactivity is different among non-pregnant women in Peru. Our study has notable strengths, including a large sample size, and the fact that information were collected by well-trained interviewers using structured and validated questionnaires. Our study extends the available literature by assessing sleep reactivity to specifically examine sleep disruptions due to stressful situations and broadly-described periods of stress46. Furthermore, our study is the first to examine the association between stress-related sleep disturbances and psychiatric disorders among a population of pregnant women.
Overall, high sleep reactivity during pregnancy is associated with increased odds of psychiatric disorders, including depression, generalized anxiety, PTSD, and risk for psychosis. Given that psychiatric disorders during pregnancy are associated with adverse obstetrical and perinatal outcomes, it may be useful to screen for sleep reactivity to identify at-risk individuals early in pregnancy to enhance treatment and prevention strategies. Antenatal care should include early screening and intervention for both high sleep reactivity and psychiatric disorders among pregnant women.
Highlights.
Stress-related sleep reactivity is highly prevalent in pregnancy
Sleep reactivity was associated with increased odds of antepartum depression, generalized anxiety, post-traumatic stress disorder and high risk for psychosis
Inquiring about sleep reactivity during antenatal care may be beneficial for identifying and caring for women at high risk of psychiatric disorders
Acknowledgments
This research was supported by awards from the National Institutes of Health (NIH), National Institute of Minority Health and Health Disparities (T37-MD-001449) and the Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01-HD-059835). The authors wish to thank the dedicated staff members of Asociación Civil Proyectos en Salud (PROESA), Perú and Instituto Materno Perinatal, Perú for their expert technical and administrative assistance with this research.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.Mindell JA, Cook RA, Nikolovski J. Sleep patterns and sleep disturbances across pregnancy. Sleep Med. 2015;16(4):483–488. [DOI] [PubMed] [Google Scholar]
- 2.Sedov ID, Cameron EE, Madigan S, Tomfohr-Madsen LM. Sleep quality during pregnancy: A meta-analysis. Sleep Med Rev. 2018;38:168–176. [DOI] [PubMed] [Google Scholar]
- 3.Sharma SK, Nehra A, Sinha S, et al. Sleep disorders in pregnancy and their association with pregnancy outcomes: a prospective observational study. Sleep Breath. 2016;20(1):87–93. [DOI] [PubMed] [Google Scholar]
- 4.Williams M, Miller R, Qiu C, Cripe S, Gelaye B, Enquobahrie D. Associations of early pregnancy sleep duration with trimester-specific blood pressures and hypertensive disorders in pregnancy. Sleep. 2010;33(10):1363–1371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Edwards N, Blyton C, Kesby G, Wilcox I, Sullivan C. Pre-eclampsia is associated with marked alterations in sleep architecture. Sleep. 2000;23(5):619–625. [PubMed] [Google Scholar]
- 6.Zafarghandi N, Hadavand S, Davati A, Mohseni SM, Kimiaiimoghadam F, Torkestani F. The effects of sleep quality and duration in late pregnancy on labor and fetal outcome. J Matern Fetal Neonatal Med. 2012;25(5):535–537. [DOI] [PubMed] [Google Scholar]
- 7.Naghi I, Keypour F, Ahari SB, Tavalai SA, Khak M. Sleep disturbance in late pregnancy and type and duration of labour. J Obstet Gynaecol. 2011;31(6):489–491. [DOI] [PubMed] [Google Scholar]
- 8.Lee KA, Gay CL. Sleep in late pregnancy predicts length of labor and type of delivery. Am J Obstet Gynecol. 2004;191(6):2041–2046. [DOI] [PubMed] [Google Scholar]
- 9.Wangel AM, Molin J, Ostman M, Jernstrom H. Emergency cesarean sections can be predicted by markers for stress, worry and sleep disturbances in first-time mothers. Acta Obstet Gynecol Scand. 2011;90(3):238–244. [DOI] [PubMed] [Google Scholar]
- 10.Strange L, Parker K, Moore M, Strickland O, Bliwise D. Disturbed sleep and preterm birth: a potential relationship? Clin Exp Obstet Gynecol. 2009;36(3):166–168. [PubMed] [Google Scholar]
- 11.Okun ML, Schetter CD, Glynn LM. Poor sleep quality is associated with preterm birth. Sleep. 2011;34(11):1493–1498. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Vargas I, Friedman NP, Drake CL. Vulnerability to Stress-Related Sleep Disturbance and Insomnia: Investigating the Link with Comorbid Depressive Symptoms. Transl Issues Psychol Sci. 2015;1(1):57–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Drake CL, Pillai V, Roth T. Stress and sleep reactivity: a prospective investigation of the stress-diathesis model of insomnia. Sleep. 2014;37(8):1295–1304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Nakajima S, Okajima I, Sasai T, et al. Validation of the Japanese version of the Ford Insomnia Response to Stress Test and the association of sleep reactivity with trait anxiety and insomnia. Sleep Medicine. 2014;15(2):196–202. [DOI] [PubMed] [Google Scholar]
- 15.Brown B, Jones E, Clark K, Jefferson F. Sleep disturbances and post-traumatic stress disorder in women. Neuro Endocrinol Lett. 2014;35(7):560–566. [PubMed] [Google Scholar]
- 16.Khazaie H, Ghadami M, Masoudi M. Sleep disturbances in veterans with chronic war-induced PTSD. J Inj Violence Res. 2016;8(2):99–107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Davies G, Haddock G, Yung AR, Mulligan LD, Kyle SD. A systematic review of the nature and correlates of sleep disturbance in early psychosis. Sleep Med Rev. 2017;31:25–38. [DOI] [PubMed] [Google Scholar]
- 18.Herba CM, Glover V, Ramchandani PG, Rondon MB. Maternal depression and mental health in early childhood: an examination of underlying mechanisms in low-income and middle-income countries. The Lancet Psychiatry. 2016;3(10):983–992. [DOI] [PubMed] [Google Scholar]
- 19.Gelaye B, Rondon MB, Araya R, Williams MA. Epidemiology of maternal depression, risk factors, and child outcomes in low-income and middle-income countries. The Lancet Psychiatry. 2016;3(10):973–982. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Hanlon C. Maternal depression in low- and middle-income countries. Int Health. 2013;5(1):4–5. [DOI] [PubMed] [Google Scholar]
- 21.Atif N, Lovell K, Rahman A. Maternal mental health: The missing “m” in the global maternal and child health agenda. Semin Perinatol. 2015;39(5):345–352. [DOI] [PubMed] [Google Scholar]
- 22.Barrios YV, Gelaye B, Zhong Q, et al. Association of childhood physical and sexual abuse with intimate partner violence, poor general health and depressive symptoms among pregnant women. PLoS One. 2015;10(1):e0116609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Friedman LE, Gelaye B, Rondon MB, Sanchez SE, Peterlin BL, Williams MA. Association of migraine headaches with suicidal ideation among pregnant women in Lima, Peru. Headache. 2016;56(4):741–749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Drake C, Richardson G, Roehrs T, Scofield H, Roth T. Vulnerability to stress-related sleep disturbance and hyperarousal. Sleep. 2004;27(2):285–291. [DOI] [PubMed] [Google Scholar]
- 25.Drake CL, Jefferson C, Roehrs T, Roth T. Stress-related sleep disturbance and polysomnographic response to caffeine. Sleep Med. 2006;7(7):567–572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Kalmbach DA, Pillai V, Arnedt JT, Drake CL. Identifying At-Risk Individuals for Insomnia Using the Ford Insomnia Response to Stress Test. Sleep. 2016;39(2):449–456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gelaye B, Zhong QY, Barrios YV, Redline S, Drake CL, Williams MA. Psychometric Evaluation of the Ford Insomnia Response to Stress Test (FIRST) in Early Pregnancy. J Clin Sleep Med. 2016;12(4):579–587. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Kroenke K, Spitzer R, Williams J. The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine. 2001;16(9):606–613. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Wulsin L, Somoza E, Heck J. The feasibility of using the Spanish PHQ-9 to screen for depression in primary care in Honduras. Primary Care Companion to the Journal of Clinical Psychiatry. 2002;4(5):191–195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Zhong Q, Gelaye B, Rondon M, et al. Comparative performance of Patient Health Questionnaire-9 and Edinburgh Postnatal Depression Scale for screening antepartum depression. Journal of Affective Disorders. 2014;162:1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Zhong Q, Gelaye B, Fann JR, Sanchez SE, Williams MA. Cross-cultural validity of the Spanish version of PHQ-9 among pregnant Peruvian women: a Rasch item response theory analysis. Journal of Affective Disorders. 2014;158:148–153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Zhong QY, Gelaye B, Zaslavsky AM, et al. Diagnostic Validity of the Generalized Anxiety Disorder - 7 (GAD-7) among Pregnant Women. PLoS One. 2015;10(4):e0125096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Gelaye B, Zheng Y, Medina-Mora ME, Rondon MB, Sanchez SE, Williams MA. Validity of the posttraumatic stress disorders (PTSD) checklist in pregnant women. BMC Psychiatry. 2017;17(1):179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Weathers F, Huska J, Keane T. PCL-C for DSM-IV. In: Division NCfP-BS, ed. Boston: 1991. [Google Scholar]
- 35.Ising HK, Veling W, Loewy RL, et al. The validity of the 16-item version of the Prodromal Questionnaire (PQ-16) to screen for ultra high risk of developing psychosis in the general help-seeking population. Schizophr Bull. 2012;38(6):1288–1296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Levey EJ, Zhong QY, Rondon MB, et al. The psychometric properties of the 16-item version of the Prodromal Questionnaire (PQ-16) as a screening instrument for perinatal psychosis. Arch Womens Ment Health. 2018;21(5):563–572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Palagini L, Cipollone G, Masci I, et al. Stress-related sleep reactivity is associated with insomnia, psychopathology and suicidality in pregnant women: preliminary results. Sleep Med. 2019;56:145–150. [DOI] [PubMed] [Google Scholar]
- 38.Nakajima S, Komada Y, Sasai-Sakuma T, et al. Higher sleep reactivity and insomnia mutually aggravate depressive symptoms: a cross-sectional epidemiological study in Japan. Sleep Med. 2017;33:130–133. [DOI] [PubMed] [Google Scholar]
- 39.Bao YP, Han Y, Ma J, et al. Cooccurrence and bidirectional prediction of sleep disturbances and depression in older adults: Meta-analysis and systematic review. Neurosci Biobehav Rev. 2017;75:257–273. [DOI] [PubMed] [Google Scholar]
- 40.Murphy MJ, Peterson MJ. Sleep Disturbances in Depression. Sleep Med Clin. 2015;10(1):17–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Vahtera J, Kivimäki M, Hublin C, et al. Liability to anxiety and severe life events as predictors of new-onset sleep disturbances. Sleep. 2007;30(11):1537–1546. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Mellman T. Sleep and anxiety disorders. Psychiatr Clin North Am. 2006;29(4):1047–1058. [DOI] [PubMed] [Google Scholar]
- 43.Koffel E, Khawaja IS, Germain A. Sleep Disturbances in Posttraumatic Stress Disorder: Updated Review and Implications for Treatment. Psychiatr Ann. 2016;46(3):173–176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Poe S-L, Brucato G, Bruno N, et al. Sleep disturbances in individuals at clinical high risk for psychosis. Psychiatry Research. 2017;249:240–243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Kalmbach DA, Anderson JR, Drake CL. The impact of stress on sleep: Pathogenic sleep reactivity as a vulnerability to insomnia and circadian disorders. J Sleep Res. 2018;27(6):e12710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Kalmbach D, Anderson J, Drake C. The impact of stress on sleep: Pathogenic sleep reactivity as a vulnerability to insomnia and circadian disorders. J Sleep Res. 2018;27(6):e12710. [DOI] [PMC free article] [PubMed] [Google Scholar]
