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DOI: 10.1055/a-1960-2919
The Association of Antenatal Depression and Cesarean Delivery among First-Time Parturients: A Population-Based Study
Abstract
Objective Antenatal depression (AD) has been considered a risk factor for cesarean delivery (CD); however, the supporting data are inconsistent. We used a large, nationally representative dataset to evaluate whether there is an association between AD and CD among women delivering for the first time.
Study Design We utilized the 2016 to 2019 Multistate Pregnancy Risk Assessment Monitoring System (PRAMS) from the Centers for Disease Control. First-time parturients who reported depression in the 3 months prior to or at any point during their recent pregnancy were compared with those who did not. The mode of delivery was obtained through the birth certificate. Maternal demographics, pregnancy characteristics, and delivery characteristics were compared by the report of AD using bivariable analyses. Population-weighted multivariable regression was performed, adjusting for maternal age, race/ethnicity, insurance, pregnancy complications, preterm birth, and body mass index (BMI).
Results Of the 61,605 people who met the inclusion criteria, 18.3% (n = 11,896) reported AD and 29.8% (n = 19,892) underwent CD. Parturients with AD were younger, more likely to be non-Hispanic white, publicly insured, use tobacco in pregnancy, deliver earlier, have lower levels of education, higher BMIs, and more medical comorbidities (hypertension and diabetes). After adjustment for these differences, there was no difference in risk of CD between those with AD compared with those without (adjusted odds ratio: 1.04; 95% confidence interval: 0.97–1.13).
Conclusion In a large, population-weighted, nationally representative sample of first-time parturients, there was no association between AD and CD.
Key Points
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Antenatal depression is increasingly common and has multiple known morbidities.
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Prior data on antenatal depression and cesarean delivery are mixed.
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We found no association between depression and cesarean delivery.
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The incidence of perinatal depression, or depression that occurs during pregnancy or the first 12 months postpartum, has been increasing over the last two decades.[1] It is one of the most common pregnancy complications, which now affects up to one in seven parturients.[2] Perinatal depression is associated with multiple adverse maternal and neonatal outcomes including preterm birth, small for gestational age,[3] and poor infant bonding and attachment.[4] [5] Likewise, severe perinatal depression can have devastating effects on women, infants, and families as maternal suicide now exceeds hemorrhage and hypertension as a cause of maternal mortality.[6]
Although many of the risks of perinatal depression are well-characterized, prior studies evaluating the association between antenatal depression (AD) and mode of delivery have yielded inconsistent results, with some reporting an increased risk for cesarean delivery (CD)[7] [8] [9] [10] [11] and others reporting no difference.[12] [13] [14] These studies all have limitations including the small sample size of depressed patients,[10] [13] inclusion of patients with mixed parity, where subtle differences in CD may not be detected,[7] [8] [10] [12] [13] [15] and utilization of medical claims data.[9] [11] The mechanism through which AD might mediate the mode of delivery also remains unclear, although proposed mechanisms include physiological changes secondary to depression (elevated cortisol[16] and abnormal placentation[17]), patient factors such as patient decision-making or health behaviors,[18] or implicit or explicit provider biases that impact medical decision-making.[19]
Contrary to our expectations, in a recent state-wide analysis of these data, we found no difference in the mode of delivery by AD status.[14] Thus, we sought to evaluate the association of AD with CD in a large, nationally representative, modern obstetric cohort.
Materials and Methods
This is a secondary analysis of the multistate Pregnancy Risk Assessment Monitoring System (PRAMS). PRAMS is an ongoing, state-based surveillance project of the Centers for Disease Control and Prevention (CDC), focusing on maternal behaviors, attitudes, and experiences before, during, and shortly after pregnancy.[20] [21] PRAMS consists of a questionnaire with two components: core questions administered by all participating states/regions and a set of state-specific questions either chosen from a list of standard items developed by the CDC or by the individual sites. The questionnaire addresses major topics related to pregnancy, such as content and source of prenatal care and counseling, pregnancy-related morbidity, contraceptive use, and maternal health complications. Participating states use birth certificates to select a stratified random sample, which ranges annually from 1,000 to more than 3,400 people per state. The study invitation and survey are mailed in the first 2 to 4 months postpartum, and then nonrespondents are followed up with additional mailings and ultimately by telephone. Completed surveys are linked to data extracted from the birth certificate and state vital statistics records, herein referred to as the birth record.
For this study, we utilized the Phase 8 (2016–2019) PRAMS database, focusing on parturients with no prior live births who had valid data for AD and mode of delivery and utilized the same methodology as we had employed in a prior state-based analysis on this topic.[14] We limited our analysis to these patients because the mode of delivery in multiparous people is highly correlated with their prior mode of delivery.[22] AD was defined as an affirmative answer (yes) to either the core survey questions on preconception depression (“During the 3 months before you got pregnant with your new baby, did you have any of the following health conditions? —Depression”) and/or depression during pregnancy (“During your most recent pregnancy, did you have any of the following health conditions? – Depression”). These items were combined to create a dichotomous variable for AD.[23] The primary outcome was the mode of delivery, which was categorized as CD, operative vaginal delivery (OVD, i.e., vacuum-assisted or forceps-assisted vaginal delivery), and spontaneous vaginal delivery.
Demographic variables analyzed included maternal age, race/ethnicity, education, health insurance status at delivery, marital status, and tobacco use during pregnancy. Age was stratified into three categories: <20 years, 20 to 34 years, and ≥35 years. Self-reported race/ethnicity categories included Hispanic, non-Hispanic white, non-Hispanic black, and non-Hispanic other (American Indian/Alaskan Native, Native Hawaiian or Pacific Islander, Asian, Multiracial, other), consistent with prior publications from the multistate PRAMS data.[24] Maternal education was organized into four categories: less than high school diploma, high school diploma, some college (1–3 years), and college diploma or greater. Insurance status at delivery was stratified into private, public/governmental (Medicaid, military, and Indian Health Service), and no insurance.
Pregnancy and delivery characteristics examined included gestational age at delivery by best obstetric estimate,[25] preterm birth (<37 weeks), small for gestational age (birthweight <10th percentile), and maternal body mass index (BMI) which we categorized into three categories: normal (BMI < 25 kg/m2), overweight (BMI: 25–29 kg/m2), and obese (BMI ≥ 30 kg/m2). Variables obtained from the core survey included women, infants, and children (WIC) benefit use during pregnancy, pregestational and gestational hypertensive disorders, and diabetes mellitus.
Statistical Analyses
Analysis was performed using SAS 9.4 (SAS Institute Inc, Cary, NC). Analysis accounted for complex survey design through the application of survey weights as recommended by PRAMS to obtain population-level estimates.[20] [21] Outcomes were compared based on self-reported AD status. We first completed bivariable analyses comparing maternal demographic characteristics and potential confounders by AD status. All categorical variables were reported as numbers and weighted population proportions. Population-weighted multivariable regression analysis was performed to assess for odds of CD based on self-reported AD status, adjusting for known confounders that were selected a priori based on the biological plausibility and previous literature. These included maternal age, race/ethnicity, insurance, pregnancy complications (hypertensive disorders or diabetes mellitus), preterm birth, and BMI. Lastly, to explore if more recent depressive symptoms were more likely to have an impact on the odds of CD, we conducted a subanalysis of only patients with AD. Women were classified as reporting AD only prior to pregnancy (preconception) or reporting AD at any point during pregnancy. The population-weighted multivariable regression analysis was repeatedly used in this subset of women to assess for odds of CD delivery based on the recency of depressive symptoms.
This study was determined to be exempt by our institutional review board due to the use of publicly available, deidentified data.
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Results
Of the 162,558 parturients included in PRAMS between 2016 and 2019, 63,056 (estimated 40.0%) had no prior live births. Of these, 61,605 (97.7%) parturients had valid data for depression status and mode of delivery ([Fig. 1]). The 11,896 (18.3%) parturients who reported AD were compared with the 49,709 (81.7%) who did not. There were significant sociodemographic differences between those reporting AD compared with those who did not: those with AD were younger, more likely to be non-Hispanic white, had lower levels of education and were less likely to be married, more likely to be publicly insured, use WIC benefits in pregnancy, and report tobacco use in pregnancy ([Table 1]). There were also notable differences in pregnancy and delivery characteristics between the two groups ([Table 2]). People with AD were more likely to have hypertension and diabetes mellitus, especially pregestational. They had higher rates of obesity (BMI >30 kg/m2) and higher rates of preterm birth. People with AD were also more likely to deliver a child that was small for gestational age.
Demographic characteristic |
Antenatal depression[a] |
No antenatal depression[a] |
p-Value |
---|---|---|---|
Population |
11,896 (18.3) |
49,709 (81.7) |
|
Maternal age (wk) |
<0.0001 |
||
< 20 |
1,990 (15.8) |
4,385 (8.1) |
|
20–34 |
8,804 (75.7) |
39,476 (80.3) |
|
≥35 |
1,101 (8.5) |
5,846 (11.6) |
|
Maternal race/ethnicity |
<0.0001 |
||
Hispanic |
1,634 (11.8) |
8,729 (15.8) |
|
Non-Hispanic white |
6,208 (66.8) |
23,298 (59.3) |
|
Non-Hispanic black |
1,962 (14.0) |
8,058 (14.0) |
|
Other |
1,742 (7.4) |
8,233 (10.9) |
|
Maternal education |
<0.0001 |
||
Less than high school |
1,707 (13.8) |
4,076 (7.6) |
|
High school diploma |
3,443 (29.4) |
10,044 (21.5) |
|
Some college |
3,696 (30.7) |
13,083 (25.2) |
|
College degree |
2,958 (26.1) |
22,097 (45.7) |
|
Married |
4,698 (40.7) |
29,921 (61.6) |
<0.0001 |
Insurance |
<0.0001 |
||
Public |
6,269 (50.6) |
18,430 (34.7) |
|
Private |
5,223 (47.9) |
29,298 (62.9) |
|
No insurance |
178 (1.5) |
1,139 (2.4) |
|
WIC use in pregnancy |
5,640 (45.6) |
16,188 (29.9) |
<0.0001 |
Tobacco use in pregnancy |
1,730 (13.1) |
2,169 (3.7) |
<0.0001 |
Abbreviation: PRAMS, Pregnancy Risk Assessment Monitoring System.
a Columns are unweighted n and weighted percentage.
Demographic characteristic |
Antenatal depression[a] |
No antenatal depression[a] |
p-Value |
---|---|---|---|
Population |
11,896 (18.3) |
49,709 (81.7) |
|
Hypertension |
<0.0001 |
||
Pregestational |
1,746 (14.5) |
1,575 (2.5) |
|
Gestational |
2,340 (17.9) |
7,269 (12.7) |
|
Diabetes |
<0.0001 |
||
Pregestational |
1,262 (11.2) |
711 (1.3) |
|
Gestational |
1,083 (8.5) |
3,756 (7.0) |
|
Body mass index |
<0.0001 |
||
< 25 |
6,023 (53.1) |
29,001 (61.2) |
|
25–29 |
1,515 (13.2) |
6,617 (13.9) |
|
≥30 |
3,980 (33.7) |
12,222 (24.9) |
|
Gestational age at delivery (wk) |
<0.0001 |
||
< 34 |
1,020 (3.2) |
3,464 (2.5) |
|
34–36 |
1,529 (7.4) |
5,255 (6.0) |
|
≥37 |
9,339 (89.4) |
40,955 (91.5) |
|
Preterm birth |
2,549 (10.6) |
8,719 (8.5) |
<0.0001 |
Small for gestational age |
2,292 (13.5) |
8,613 (12.4) |
0.04 |
Abbreviation: PRAMS, Pregnancy Risk Assessment Monitoring System.
a Columns are unweighted n and weighted percentage.
There was no difference in the odds of having a CD when recently delivered patients with AD were compared with those without AD (unadjusted odds 1.05; 95% confidence interval [CI]: 0.97, 1.12; [Table 3]). This lack of association between AD and CD remained the same when the analysis was adjusted for maternal age, race/ethnicity, insurance status, pregnancy complications (hypertensive disorders or diabetes mellitus), preterm birth, and BMI (adjusted odds ratio [aOR]: 1.04; 95% CI: 0.97, 1.13).
Antenatal depression[a] n = 11,896 (18.3) |
No antenatal depression[a] n = 49,709 (81.7) |
Unadjusted OR (95% CI) |
Adjusted OR (95% CI)[b] |
|
---|---|---|---|---|
Cesarean delivery |
3,979 (30.4) |
15,913 (29.6) |
1.05 (0.97–1.12) |
1.04 (0.97–1.13) |
Operative vaginal delivery |
634 (6.1) |
2,672 (5.8) |
1.07 (0.93–1.24) |
1.13 (0.97–1.31) |
Vaginal delivery |
7,283 (63.5) |
31,124 (64.6) |
1.00 |
1.00 |
Abbreviations: CI, confidence interval; OR, odds ratio; PRAMS, Pregnancy Risk Assessment Monitoring System.
a Columns are unweighted n and weighted percentage.
b Adjusted for: maternal age, race/ethnicity, insurance, pregnancy complications (hypertension or diabetes mellitus), preterm birth, body mass index.
In the subanalysis of women with AD, there was no difference in CD between those only reporting depression preconceptually compared with depression at any point during pregnancy (aOR: 1.05; 95% CI: 0.90, 1.22).
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Discussion
In this large, nationally representative, modern sample, we found no association between reported AD and CD among recently delivered patients in the United States. Findings from this study add to the information from smaller, prospective studies that also found no difference in adverse perinatal outcomes, including CD, among parturients with depression during pregnancy.[12] [13] While these studies included cohorts of mixed parity, they still found no association between AD and CD when stratified by those with and without prior births. However, the major limitation of these studies that demonstrated no association between AD and CD is that only a small fraction of the included patients had depression. As such, the analyses may have been underpowered to detect any but the largest differences in outcomes. The results from this study also align with our prior work, in which an analysis of PRAMS limited only to the state of Rhode Island demonstrated no difference in rates of CD among those reporting AD compared with those who did not.[14] However, the RI cohort was small and only locally representative, necessitating the use of a larger and more generalizable cohort for subsequent analyses.
In contrast, some prior studies have demonstrated an increased risk for CD among patients with depression. Sion et al found that AD was associated with a more than twofold increase in CD.[10] However, their population of depressed patients was only 0.1% of the study cohort, and their findings were confounded by mixed parity and differences in baseline rates of prior CD among the depressed and nondepressed group. Similarly, an association has been identified between depression in the third trimester of pregnancy and an increased rate of emergency CD,[7] [8] but this association is again weakened by potential confounding: both studies included a population of mixed parity and did not present data on the distribution of prior CD among the groups.
Lastly, two large medical claim-based studies demonstrated increased rates of CD among patients with AD.[9] [11] The first, an analysis of the Nationwide Inpatient Sample,[9] demonstrated a small but significant 5% increase in CD among those with perinatal mood and anxiety disorders. However, their results are limited by their study design: only those patients whose AD was coded during the index hospitalization could be included (which leads to selection bias), CD could not be stratified into primary or repeat, and common cofounders for CD such as hypertension and maternal obesity were not accounted for. To address these limitations, Zochowski et al[11] performed a follow-up analysis using a large, retrospective cohort of administrative claims data and found that parturients with AD had approximately 3.5% increased likelihood of CD. While they had more robust mechanisms for capturing patients with AD prior to their delivery admission and restricted their analysis to those undergoing primary CD, they only included patients with commercial/private insurance, and thus did not capture those with federal/public insurance, who are at higher risk for AD.
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Strengths and Limitations
Our study has some important strengths: the PRAMS database provided a large, nationally representative cohort of patients without a prior birth, in whom decreasing the cesarean rate is most likely to drive sustained reductions in cesarean-related morbidity over time. We also utilized a self-report of AD, which has been shown to have higher accuracy in identifying depression when compared with medical claims data.[26] Lastly, we had minimal missing data among eligible participants (<2.5%), decreasing the likelihood of selection bias by not including eligible people in our study population who participated in PRAMS.
Nevertheless, there are some limitations to consider. First, the structure of the PRAMS database is retrospective and primarily survey based; thus, our results are potentially limited by selection bias based on participation in PRAMS itself as well as recall bias. In particular, the experience of AD could have been incorrectly classified, with postpartum mood driving inaccuracies in antenatal mood designation, and those with the most severe forms of depression might be less likely to participate in PRAMS at all. Second, the discernment of AD was based on two dichotomized variables, one for preconception depression and one for AD. While these are not validated screening tools for a clinical diagnosis of depression—which might have led to capturing mild or subclinical disease and contribute to nonsignificant results—this is the metric currently employed by the CDC to capture AD. Third, multiple data points are derived from the birth record, which has some inherent limitations and relies on accurate documentation. While our primary outcome—mode of delivery—has been demonstrated to be reliably coded on the birth certificate,[27] other data points may be less accurate. Furthermore, indications for CD or OVD were not available; therefore, we cannot ascertain if there is a difference in indications for CD or OVD based on AD status. Fourth, there was no assessment of depression control or was there information about when prior to or during pregnancy depressive symptoms may have occurred, so there was no way to stratify our analysis by these characteristics. In particular, prior studies have suggested that adverse perinatal outcome rates are higher in those who have a trajectory toward worsening depression in the third trimester of pregnancy[28]; thus, there may have been subtle differences among those with a worsening disease trajectory that we were unable to detect in this cohort.
Further research should focus on the diagnosis of AD utilizing a validated diagnostic instrument and the association of depression trajectory with the mode of delivery. If differences are detected, it will be essential to elucidate whether these appear to be secondary to physiological or behavioral/decisional differences between birthing people with and without depression, and if there is a provider component that might be mediated by implicit or explicit biases. Since CD is associated with higher short- and long-term morbidity,[29] determining intervenable opportunities to prevent unnecessary cesarean deliveries is paramount.[22]
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Conclusion
In conclusion, while depression has been considered a risk factor for CD, findings from this study did not support an association between AD and CD among recently delivered parturients in the United States. This finding can provide important reassurance for pregnant patients with AD, many of whom are concerned about the potential implications of AD and its treatment on pregnancy-related health for them and their offspring.
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Conflict of Interest
None declared.
Note
This study was presented at The Society for Maternal Fetal Medicine National Conference, January 31–February 5, 2022.
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References
- 1 Haight SC, Byatt N, Moore Simas TA, Robbins CL, Ko JY. Recorded diagnoses of depression during delivery hospitalizations in the United States, 2000-2015. Obstet Gynecol 2019; 133 (06) 1216-1223
- 2 ACOG Committee Opinion No. ACOG Committee Opinion No. 757: screening for perinatal depression. Obstet Gynecol 2018; 132 (05) e208-e212
- 3 Simonovich SD, Nidey NL, Gavin AR. et al. Meta-analysis of antenatal depression and adverse birth outcomes in us populations, 2010–20: study is a meta-analysis of antenatal depression and adverse birth outcomes in the US, 2010–20. Health Aff (Millwood) 2021; 40 (10) 1560-1565
- 4 Śliwerski A, Kossakowska K, Jarecka K, Świtalska J, Bielawska-Batorowicz E. The effect of maternal depression on infant attachment: a systematic review. Int J Environ Res Public Health 2020; 17 (08) 2675
- 5 Toth SL, Rogosch FA, Sturge-Apple M, Cicchetti D. Maternal depression, children's attachment security, and representational development: an organizational perspective. Child Dev 2009; 80 (01) 192-208
- 6 Palladino CL, Singh V, Campbell J, Flynn H, Gold KJ. Homicide and suicide during the perinatal period: findings from the National Violent Death Reporting System. Obstet Gynecol 2011; 118 (05) 1056-1063
- 7 Bayrampour H, Salmon C, Vinturache A, Tough S. Effect of depressive and anxiety symptoms during pregnancy on risk of obstetric interventions. J Obstet Gynaecol Res 2015; 41 (07) 1040-1048
- 8 Chung TKH, Lau TK, Yip ASK, Chiu HFK, Lee DTS. Antepartum depressive symptomatology is associated with adverse obstetric and neonatal outcomes. Psychosom Med 2001; 63 (05) 830-834
- 9 McKee K, Admon LK, Winkelman TNA. et al. Perinatal mood and anxiety disorders, serious mental illness, and delivery-related health outcomes, United States, 2006-2015. BMC Womens Health 2020; 20 (01) 150
- 10 Sion MY, Harlev A, Weintraub AY, Sergienko R, Sheiner E. Is antenatal depression associated with adverse obstetric and perinatal outcomes?. J Matern Fetal Neonatal Med 2016; 29 (06) 863-867
- 11 Zochowski MK, Kolenic GE, Zivin K. et al. Trends in primary cesarean section rates among women with and without perinatal mood and anxiety disorders: study examines trends in primary cesarean section rates among women with and without perinatal mood and anxiety disorders. Health Aff (Millwood) 2021; 40 (10) 1585-1591
- 12 Larsson C, Sydsjö G, Josefsson A. Health, sociodemographic data, and pregnancy outcome in women with antepartum depressive symptoms. Obstet Gynecol 2004; 104 (03) 459-466
- 13 Wu J, Viguera A, Riley L, Cohen L, Ecker J. Mood disturbance in pregnancy and the mode of delivery. Am J Obstet Gynecol 2002; 187 (04) 864-867
- 14 Ayala NK, Lewkowitz AK, Gjelsvik A, Monteiro K, Amanullah S. Antenatal depression and cesarean delivery among recently-delivered nulliparous women in Rhode Island. R I Med J (2013) 2022; 105 (01) 32-36
- 15 Perkin MR, Bland JM, Peacock JL, Anderson HR. The effect of anxiety and depression during pregnancy on obstetric complications. Br J Obstet Gynaecol 1993; 100 (07) 629-634
- 16 Giurgescu C. Are maternal cortisol levels related to preterm birth?. J Obstet Gynecol Neonatal Nurs 2009; 38 (04) 377-390
- 17 Hoirisch-Clapauch S, Brenner B, Nardi AE. Adverse obstetric and neonatal outcomes in women with mental disorders. Thromb Res 2015; 135 (Suppl. 01) S60-S63
- 18 Hassanzadeh R, Abbas-Alizadeh F, Meedya S, Mohammad-Alizadeh-Charandabi S, Mirghafourvand M. Fear of childbirth, anxiety and depression in three groups of primiparous pregnant women not attending, irregularly attending and regularly attending childbirth preparation classes. BMC Womens Health 2020; 20 (01) 180
- 19 VanGompel EW, Main EK, Tancredi D, Melnikow J. Do provider birth attitudes influence cesarean delivery rate: a cross-sectional study. BMC Pregnancy Childbirth 2018; 18 (01) 184
- 20 Shulman HB, D'Angelo DV, Harrison L, Smith RA, Warner L. The Pregnancy Risk Assessment Monitoring System (PRAMS): overview of design and methodology. Am J Public Health 2018; 108 (10) 1305-1313
- 21 Pregnancy Risk Assessment Monitoring System (PRAMS). Department of Health. Accessed October 13, 2021 at: https://health.ri.gov/data/pregnancyriskassessment/
- 22 Spong CY, Berghella V, Wenstrom KD, Mercer BM, Saade GR. Preventing the first cesarean delivery: summary of a joint Eunice Kennedy Shriver National Institute of Child Health and Human Development, Society for Maternal-Fetal Medicine, and American College of Obstetricians and Gynecologists Workshop. Obstet Gynecol 2012; 120 (05) 1181-1193
- 23 Perinatal Depression in New Hampshire Resident Women, 2013–2016. Accessed October 26, 2022 at: https://www.dhhs.nh.gov/sites/g/files/ehbemt476/files/documents/2021-12/perinatal-depression.pdf
- 24 Ahluwalia IB, Ding H, Harrison L, D'Angelo D, Singleton JA, Bridges C. PRAMS Influenza Working Group. Disparities in influenza vaccination coverage among women with live-born infants: PRAMS surveillance during the 2009-2010 influenza season. Public Health Rep 2014; 129 (05) 408-416
- 25 Martin JA, Osterman MJK, Kirmeyer SE, Gregory ECW. Measuring gestational age in vital statistics data: transitioning to the obstetric estimate. Natl Vital Stat Rep 2015; 64 (05) 1-20
- 26 Boscarino JA, Moorman AC, Rupp LB. et al; Chronic Hepatitis Cohort Study (CheCS) Investigators. Comparison of ICD-9 codes for depression and alcohol misuse to survey instruments suggests these codes should be used with caution. Dig Dis Sci 2017; 62 (10) 2704-2712
- 27 Josberger RE, Wu M, Nichols EL. Birth certificate validity and the impact on primary cesarean section quality measure in New York State. J Community Health 2019; 44 (02) 222-229
- 28 Miller ES, Saade GR, Simhan HN. et al. Trajectories of antenatal depression and adverse pregnancy outcomes. Am J Obstet Gynecol 2019; 220 (01) S70
- 29 Clark EAS, Silver RM. Long-term maternal morbidity associated with repeat cesarean delivery. Am J Obstet Gynecol 2011; 205 (06) , suppl): S2-S10
Address for correspondence
Publication History
Received: 07 June 2022
Accepted: 22 September 2022
Accepted Manuscript online:
13 October 2022
Article published online:
15 November 2022
© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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References
- 1 Haight SC, Byatt N, Moore Simas TA, Robbins CL, Ko JY. Recorded diagnoses of depression during delivery hospitalizations in the United States, 2000-2015. Obstet Gynecol 2019; 133 (06) 1216-1223
- 2 ACOG Committee Opinion No. ACOG Committee Opinion No. 757: screening for perinatal depression. Obstet Gynecol 2018; 132 (05) e208-e212
- 3 Simonovich SD, Nidey NL, Gavin AR. et al. Meta-analysis of antenatal depression and adverse birth outcomes in us populations, 2010–20: study is a meta-analysis of antenatal depression and adverse birth outcomes in the US, 2010–20. Health Aff (Millwood) 2021; 40 (10) 1560-1565
- 4 Śliwerski A, Kossakowska K, Jarecka K, Świtalska J, Bielawska-Batorowicz E. The effect of maternal depression on infant attachment: a systematic review. Int J Environ Res Public Health 2020; 17 (08) 2675
- 5 Toth SL, Rogosch FA, Sturge-Apple M, Cicchetti D. Maternal depression, children's attachment security, and representational development: an organizational perspective. Child Dev 2009; 80 (01) 192-208
- 6 Palladino CL, Singh V, Campbell J, Flynn H, Gold KJ. Homicide and suicide during the perinatal period: findings from the National Violent Death Reporting System. Obstet Gynecol 2011; 118 (05) 1056-1063
- 7 Bayrampour H, Salmon C, Vinturache A, Tough S. Effect of depressive and anxiety symptoms during pregnancy on risk of obstetric interventions. J Obstet Gynaecol Res 2015; 41 (07) 1040-1048
- 8 Chung TKH, Lau TK, Yip ASK, Chiu HFK, Lee DTS. Antepartum depressive symptomatology is associated with adverse obstetric and neonatal outcomes. Psychosom Med 2001; 63 (05) 830-834
- 9 McKee K, Admon LK, Winkelman TNA. et al. Perinatal mood and anxiety disorders, serious mental illness, and delivery-related health outcomes, United States, 2006-2015. BMC Womens Health 2020; 20 (01) 150
- 10 Sion MY, Harlev A, Weintraub AY, Sergienko R, Sheiner E. Is antenatal depression associated with adverse obstetric and perinatal outcomes?. J Matern Fetal Neonatal Med 2016; 29 (06) 863-867
- 11 Zochowski MK, Kolenic GE, Zivin K. et al. Trends in primary cesarean section rates among women with and without perinatal mood and anxiety disorders: study examines trends in primary cesarean section rates among women with and without perinatal mood and anxiety disorders. Health Aff (Millwood) 2021; 40 (10) 1585-1591
- 12 Larsson C, Sydsjö G, Josefsson A. Health, sociodemographic data, and pregnancy outcome in women with antepartum depressive symptoms. Obstet Gynecol 2004; 104 (03) 459-466
- 13 Wu J, Viguera A, Riley L, Cohen L, Ecker J. Mood disturbance in pregnancy and the mode of delivery. Am J Obstet Gynecol 2002; 187 (04) 864-867
- 14 Ayala NK, Lewkowitz AK, Gjelsvik A, Monteiro K, Amanullah S. Antenatal depression and cesarean delivery among recently-delivered nulliparous women in Rhode Island. R I Med J (2013) 2022; 105 (01) 32-36
- 15 Perkin MR, Bland JM, Peacock JL, Anderson HR. The effect of anxiety and depression during pregnancy on obstetric complications. Br J Obstet Gynaecol 1993; 100 (07) 629-634
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