Abstract
Objective
To determine the extent to which prenatal posttraumatic stress disorder (PTSD) is associated with lower birth weight and shorter gestation, and to explore the effects of childhood maltreatment as the antecedent trauma exposure.
Design
Prospective three-cohort study
Setting
Ann Arbor and Detroit, Michigan, United States
Sample
839 diverse nulliparas in PTSD-positive (n=255), trauma-exposed, resilient (n=307), and non-exposed to trauma (n=277) cohorts
Methods
Standardised telephone interview prior to 28 weeks to ascertain trauma history, PTSD, depression, substance use, mental health treatment history, and sociodemographics, with chart abstraction to obtain chronic condition history, antepartum complications, and prenatal care data, as well as outcomes.
Main outcome measures
Infant birth weight and gestational age per delivery record.
Results
Women with PTSD during pregnancy had a mean birth weight 283 grams less than trauma-exposed, resilient women and 221 grams less than non-exposed women (F(3, 835) = 5.4, p = .001). PTSD was also associated with shorter gestation in multivariate models that took childhood abuse history into account. Stratified models indicated that PTSD subsequent to child abuse trauma exposure was most strongly associated with adverse outcomes. PTSD was a stronger predictor than African American race of shorter gestation and a nearly equal predictor of birth weight. Prenatal care was not associated with better outcomes among women abused in childhood.
Conclusions
Abuse-related PTSD may be an additional or alternative explanation for adverse perinatal outcomes associated with low socioeconomic status and African American race in the United States. Biological and interventions research is warranted along with replication studies in other nations.
Keywords: Stress disorder, posttraumatic, perinatal outcomes, birth weight, gestational age, health disparities, childhood maltreatment, abuse
Introduction
Posttraumatic stress disorder (PTSD) is prevalent among women; occurring in the aftermath of traumatic events like war, disaster, childhood maltreatment, rape and battering.1-4 Studies with women who are pregnant find prevalence rates near 8% and greatest risk associated with history of abuse trauma (OR=12, 95% CI 4, 40).5 Women with low socio-demographic status tend to have higher rates of PTSD in pregnancy, as do African American women.6 PTSD might be an additional risk factor for preterm birth and low birth weight among these vulnerable groups.
Evidence continues to accumulate to underscore the importance of addressing preterm birth and the combined low birth weight associated with it. A recent cost analysis conducted on the State of Michigan and US national data found that preterm birth is the leading cause of health problems in infants and is estimated to cost the US more than $26 billion annually.7 This same report found that an African American infant in Michigan is 70% more likely to be born prematurely than an infant of any other race. A recent epidemiological study of cognitive and socioemotional outcomes followed babies to six years of age from the largest city in the state of Michigan, Detroit, and found that even those babies born “late” preterm (at 34 through 36 weeks) had greater risk of clinically significant impairments after controlling for many potential prenatal and childhood confounding factors.8 Thus a finding that PTSD—a treatable condition occurring at greater rates in pregnancy among African Americans6—is associated with shorter gestation would suggest new avenues for improving perinatal outcomes in high risk populations.
There have been nine studies (Tables S1a and S1b in supplementary material available online)9-17 assessing the relationship of prenatal PTSD to birth weight and gestational age. They share a common underlying assumption that PTSD could adversely affect both fetal growth and timing of parturition secondary to stress pathophysiology. These studies have several shortcomings, most importantly small samples of limited diversity and lack of trauma-exposed and non-exposed comparison groups. . They have not considered potential differences, in terms of biological and psychological impact, associated with type or timing of trauma exposure (e.g., interpersonal violence in childhood versus experiencing a disaster as an adult)18-21 Few examined co-occurring risk behaviours or known comorbidities of PTSD.22 This study addressed several limitations of these prior studies and considered the effects of the trauma exposure of childhood abuse in stratified models to provide a better basis for inferences about the effects of PTSD on perinatal outcomes.
Methods
Design
This is a prospective three-cohort study (NIH NR008767, PI Seng). Its primary aim is to determine the extent to which posttraumatic stress disorder (PTSD) is associated with adverse outcomes during the childbearing year, including obstetric, mental health, and bonding outcomes. This paper reports on the perinatal outcomes of gestational age and birth weight. .
Organising framework
The relationships between trauma exposure, PTSD, and health outcomes are influenced by numerous factors. Consideration of these factors such as socio-demographic risk, co-occurring mental health conditions and health risk behaviours must then be taken into account in statistical analyses when exploring the risks of PTSD on childbearing outcomes.23 In this study a framework was used consistent with research recommendations proposed by the US Centers for Disease Control and Prevention (CDC) for research on violence occurring around the time of pregnancy.24 Figure 1 depicts the components included in this study's models (in bold font) and the measures used to create the variables in the statistical models. In brief, the core proposition is that trauma exposure is associated with adverse outcomes via PTSD. In turn, PTSD may be associated with adverse outcomes via risk behaviours and comorbidity. The strength of this association could be influenced by three broad sets of factors: non-modifiable medical and obstetric risks, modifiable healthcare related factors, and chronic stress such as that related to sociodemographic status.24
Figure 1.
Diagram of conceptual framework organizing the statistical modeling with measures used.
Recruitment
Recruitment and follow-up took place from August 2005 through March 2008 using three large health systems’ prenatal clinics in the State of Michigan. Institutional Review Board approval was obtained from all three entities, and a Confidentiality Certificate was obtained. Details of recruitment, including a flow diagram, have been published5 and are summarised here. Half the sample came from urban clinics that served primarily minority and poor women. In order to maintain generalisability of the study results to diverse women, and because poor and African American women have the worse perinatal outcomes in the US , we over-sampled from these settings to allow for the greater attrition that occurs among disadvantaged groups. Eligible women were expecting their first infant, 18 or older, able to speak English without an interpreter, and initiating prenatal care at less than 28 weeks gestation. Nurses invited eligible women to take part in a survey study of “stressful things that happen to women, emotions, and pregnancy.” Interested women gave contact information, were provided an information document with the elements of informed consent, and were then contacted by a professional health research survey organization (DataStat, Ann Arbor, Michigan, USA), where verbal consent took place, eligibility was confirmed, and a standardised psychiatric diagnostic interview was conducted using computer-assisted telephone interview (CATI) technology. Participants were reimbursed $20 by check for the completed interview. The initial sample consisted of 1,581 women in order to enroll for follow-up a target sample size with power to study conditions occurring in as few as two percent of cases (e.g., hyperemesis).
Sample
The CATI scoring algorithm assigned these interview completers to one of four cohorts: Non-exposed to trauma controls (n=350), trauma-exposed, resilient (PTSD-negative) controls (n=380), and PTSD-positive cases (n=319). The fourth cohort included women who did not match one of these definitions (n=532), and these women were dismissed from follow-up. Women assigned to one of the three follow-up cohorts at the end of the interview were invited to continue in the study and provided additional informed consent for medical records review after delivery and follow-up interviews. The three-cohort design is common in PTSD research where the trauma exposure itself is an alternative or additive explanation for outcomes associated with PTSD.25 We divided the PTSD-positive cohort for most analyses into those who had recovered and those who were still affected at the time of the interview . For this report we only include women who had prenatal and delivery medical records and live singleton births (n=839). Figure 2 depicts the definition of the cohorts and composition specific to this report.
Figure 2.
Cohort definitions.
Medical records abstraction
Two sites used paper charts, and a labour and delivery nurse abstracted details onto a paper form. Reliability was established early in the project by training, creating decision tools, and revising the form until inter-rater agreement reached 92.7%.26 A five percent audit over the life of the project resulted in 94.4% agreement, which is considered excellent reliability.27 Data were double entered from the paper forms. The third site used an electronic medical record. A list of items, developed by investigators and data managers, were extracted, downloaded and transformed to a flat spreadsheet for cleaning and recoding in SPSS. Manual reading of individual patient electronic medical records was done to redress errors in original data entries, such as data missing by being entered in the wrong field.
Measures and variable construction
Whenever possible established measures were used in the survey interviews. Psychometrics and scoring procedures for measures from the initial psychiatric diagnostic interview have been reported earlier.5 Instruments and variable definitions are listed in Table S2 of the supplementary materials available online.28-32 The adverse outcomes of childbearing we focused on for this report were gestational age and birth weight, both as interval-level variables and as adverse outcomes. These were defined as preterm (less than 37 completed weeks gestation), and low birth weight (less than 2500 grams).
Analysis plan
We began by accounting for the attrition from the initial interview due to multiple gestation and losses, as well as due to not being able to obtain a record. We also verified that the relationships between PTSD and outcome variables met the assumption of linearity prior to regression modeling. To do this, we tested the hypothesis that PTSD is associated with gestational age and birth weight outcomes via chi-square and ANOVA comparisons across the three cohorts, splitting the PTSD-positive group into lifetime-positive, recovered women (PTSD-recovered) and currently-positive, affected women (PTSD-affected). We then considered the full complexity of the potentially mediating or moderating factors with stepwise linear regression models based on the conceptual framework presented, for both outcomes, birth weight and gestational age. This first set of models involved the whole sample. Then we divided the sample into groups with (n=174) and without (n=665) child abuse history in order to consider how patterns may have differed based on trauma type.
Results
The sample size included in this analysis was 839 women for whom we had complete prenatal and obstetric record data that included the necessary variables in this analysis (birth weight, gestational age, prenatal care information, and pre-pregnancy medical history) and who were known not to have experienced miscarriage (n=33) or elective abortion (n=4) subsequent to the screening interview, nor multiple gestation (n=12), fetal demise, stillbirth, or neonatal death (n=7). Prevalence of these reasons for exclusion did not differ significantly across the three cohorts. Within this sample, there were 255 PTSD-positive women, 277 in the non-exposed cohort, and 307 in the trauma exposed, resilient cohort. Within the PTSD-positive cohort, 98 had current PTSD (affected) and 157 had had PTSD previously (recovered). Chi-square comparisons of the 839 women with medical records data and live singleton births and the 1,049 women who were assigned to follow-up based on the first interview indicated that they did not differ in the proportion in each cohort (X2(2) = 0.072, p = .964) or in the proportion who were sociodemographically disadvantaged (X2(1) = 0.066, p = .798).
Extensive descriptive data on the sample as a whole and comparisons across the four cohorts are depicted in Table 1. The PTSD-affected cohort had more sociodemographic risk factors, more childhood abuse, more substance use, more recent intimate partner violence , and a lower rate of adequate prenatal care than the other cohorts. The PTSD-affected and PTSD-recovered cohorts had similar rates of major depression in the past year and pregnancy mental health treatment. The trauma-exposed, resilient cohort had the fewest sociodemographic disadvantages, lower rates of childhood abuse trauma, a low rate of depression, low levels of substance use and intimate partner violence exposures, and the highest rate of using adequate prenatal care.
Table 1.
Descriptions of the sample overall and by cohort, depicting all factors included in the multivariate models.
Total n=839 | PTSD-affected 11.8% (98) | PTSD-recovered 18.7% (157) | Non-trauma exposed 36.6% (277) | Trauma-exposed, resilient 33.4% (307) | Statistic | p | |
---|---|---|---|---|---|---|---|
% (n) | |||||||
Sociodemographic risk factors | |||||||
African American | 41.4 (347) | 74.5 (73) | 40.1 (63) | 41.9 (116) | 30.9 (95) | X2=58.2 | <.001 |
Poverty (income <$15,000) | 22.1 (185) | 44.9 (44) | 23.6 (37) | 19.5 (54) | 16.3 (50) | X2=37.6 | <.001 |
Low education (<= high school) | 44.5 (373) | 76.5 (75) | 41.4 (65) | 48.4 (134) | 32.2 (99) | X2=61.7 | <.001 |
Pregnant as a teen | 21.1 (179) | 36.7 (36) | 18.5 (29) | 24.5 (68) | 15.0 (46) | X2=23.7 | <.001 |
High crime zip code (>US average) | 37.3 (313) | 67.3 (66) | 35.0 (55) | 40.1 (111) | 26.4 (81) | X2=54.7 | <.001 |
Trauma history factors | |||||||
Child abuse (before age 16) | 20.7 (174) | 56.1 (55) | 40.8 (64) | 1.8 (5)* | 16.3 (50) | X2=177.1 | <.001 |
Past-only (not recent) adult abuse | 8.4 (74) | 20.4 (20) | 15.3 (24) | 1.4 (4)* | 8.5 (26) | X2=43.3 | <.001 |
Event was index trauma** | 10.7 (90) | 6.1 (6) | 16.6 (26) | 4.0 (11)* | 15.3 (47) | X2=27.7 | <.001 |
Mental health and risk exposure | |||||||
Major Depression in past year | 12.0 (101 | 29.6 (29) | 29.3 (46) | 4.0 (11) | 4.9 (15) | X2=104.5 | <.001 |
Any substance use in pregnancy | 25.7 (216) | 48.0 (47) | 32.5 (51) | 19.1 (53) | 21.2 (65) | X2=38.7 | <.001 |
Past year partner violence | 3.2 (27) | 13.3 (13) | 5.7 (9) | 1.1 (3) | 0.7 (2) | X2=45.5 | <.001 |
Medical/Obstetric risk factors | |||||||
Pre-existing chronic condition | 43.6 (366) | 31.6 (31) | 54.1 (85) | 39.0 (108) | 46.3 (142) | X2=16.1 | <.001 |
Antepartum problem | 23.8 (200) | 18.4 (18) | 24.2 (38) | 26.7 (74) | 22.8 (70) | X2=3.1 | .381 |
Healthcare related factors | |||||||
Adequate prenatal care | 64.1 (538) | 46.9 (46) | 65.6 (103) | 62.8 (174) | 70.0 (215) | X2=17.6 | .001 |
Past therapy or medication | 31.5 (264) | 42.9 (42) | 61.1 (96) | 14.4 (40) | 28.0 (86) | X2=109.0 | <.001 |
Pregnancy therapy or medication | 5.6(47) | 14.3 (14) | 14.6 (23) | 1.8 (5) | 1.6 (5) | X2=55.0 | <.001 |
Df for X2 = 3.
Non-exposed women reported some exposures but none meeting DSM-IV criteria. Childhood abuse was a criterion for inclusion in the trauma-exposed cohort if it was physical or sexual abuse; the non-exposed women's childhood abuse was emotional.
Potentially traumatic events queried were disaster, war, witnessing or being in an accident, being jailed, serious illness, painful procedure or ritual, separation or divorce, witnessing or being attacked or robbed, being sexually harassed.
We first examined the associations of PTSD symptom count and cohort with the outcomes using bivariate tests. The correlation of current PTSD symptom count with gestational age was not significant (r = -0.044, p = .202). Grouping by cohort to examine gestational age as a continuous variable showed no significant relationship (Table 2). The negative correlation of current PTSD symptom count with birth weight was significant but weak (r = -0.122, p < .001). Looking at birth weight in grams by cohort (Table 2), the PTSD-affected cohort differed substantially from the trauma-exposed resilient cohort). In brief, these bivariate tests showed that current PTSD was not significantly associated with preterm birth and current PTSD was significantly associated with lower birth weight, a difference of 283 grams compared with the trauma exposed, resilient cohort and 221 grams compared with the non-exposed cohort (p = .001). To meet the requirement for linearity for regression modeling we thus used the trauma-exposed, resilient cohort as the reference category.
Table 2.
Birth weight and gestational age comparisons by cohorts
Birthweight in grams | Gestational age | ||||||
---|---|---|---|---|---|---|---|
Group | Mean | SD | ANOVA | Group | Mean | SD | ANOVA |
PTSD-affected | 3053 | 682 | F=5.4 | PTSD-affected | 38.7 | 2.8 | F=1.3 |
PTSD-recovered | 3244 | 521 | df 3, 835 | PTSD-recovered | 39.2 | 1.8 | df=3, 835 |
Non-exposed | 3274 | 628 | p=.001 | Non-exposed | 39.1 | 2.5 | p=.269 |
Trauma-resilient | 3336 | 612 | Trauma-resilient | 39.3 | 2.4 | ||
Overall | 3265 | 615 | Overall | 39.1 | 2.4 |
Low birth weight | Preterm birth | ||||||
---|---|---|---|---|---|---|---|
Group | % | n | Chi squared | Group | % | N | Chi squared |
PTSD-affected | 13.3 | 13 | X2=2.9 | PTSD-affected | 22.4 | 22 | X2=7.2 |
PTSD-recovered | 8.3 | 13 | df=3 | PTSD-recovered | 12.1 | 19 | df=3 |
Non-exposed | 8.7 | 24 | p=.414 | Non-exposed | 17.3 | 48 | p=.067 |
Trauma-resilient | 7.8 | 24 | Trauma-resilient | 13.0 | 40 | ||
Overall | 8.8 | 74 | Overall | 15.4 | 129 |
We next constructed theory-based stepwise linear regression models, with each step adding co-variates according to the organising framework. First we used the entire sample (n=839), so the focus was on the effect of PTSD, taking childhood abuse history into account. We then stratified by childhood abuse history (negative history n=665, positive history n=174) to assess whether the pattern changed based on antecedent trauma type. Table S3 in the online supplementary materials presents these three models for the birth weight outcome, and Table S4, also available online, presents the models for the gestational age outcome.
In relation to birth weight, in the model on the whole sample, having adjusted for childhood abuse trauma exposure, which was not independently predictive, being in the PTSD-affected cohort, and having an antepartum complication increased risk. Having a pre-existing chronic condition and using adequate prenatal care decreased risk. When the African American race and poverty components of chronic stress were added in the sixth step, they weakened the relationship of current PTSD and of the pre-existing chronic condition. Overall this model explained 14.7% of variance in birth weight.
Within the subsample that did not experience childhood abuse (n=665), the pattern was similar to that found in the entire sample, but race and poverty accounted for more risk and weakened the association of current PTSD with birth weight. The amount of overall variance in birth weight explained by the model was smaller, 5.3%,
Among childhood abuse survivors (n=174), the association of current PTSD with lower birth weight was stronger and this factor alone explained 7.9% of variance. The rest of the pattern differed from the overall sample and from the non-abused subsample. Substance use contributed to risk. Adequate prenatal care was not an independently significant protective factor. Poverty was not an independently significant risk factor. Race mediated the association of PTSD. The variance explained within this subset was a larger proportion than for the sample as a whole, 19.2%.
In relation to the gestational age outcome, the pattern was similar for the overall sample to the pattern seen in relation to birth weight, except that neither pre-existing chronic conditions nor poverty were independently significantly associated. The variance explained within the model on all 839 women was 12.2%.
Within the non-abused subset, PTSD was not at all associated with gestational age. Neither was race or poverty. Only antepartum complications and adequate prenatal care were significant independent predictors in a model that nevertheless explained 13.3% of variance.
Within the childhood abuse subset current, PTSD had a similarly strong predictive value for gestational age as it had for birth weight. Antepartum complications and current PTSD conveyed similar levels of risk. Neither race nor poverty were significant predictors of gestational age after the other factors were taken into account. Intimate partner violence was an independently significant predictor associated with longer gestation (beta=.167, p=.031). Post hoc examination of this counter-intuitive finding showed that, of the 27 cases with past year partner violence, none delivered at less than 34 weeks, 3 were preterm, 18 were term, and 6 (22%) were postdates deliveries. The steps including PTSD, comorbidities and risk behaviours, and the non-modifiable obstetric risk factor of antepartum complications explained 17.5% of variance, with the adjusting in the modifiable health care related factors step adding another 0.5% and the chronic stress step contributing no additional variance.
We conducted a post hoc examination of the correlation of birth weight with gestational age across cohorts and across child abuse strata. Our rationale for this exploration was that gestational age could be associated with birth weight to varying extents within each stratum. The plausible biological mechanisms for birth weight and for prematurity may be shared or distinct to varying extents based on the mother's psychobiological status. Her psychobiological status would be expected to differ based on factors that distinguish the cohorts and strata, as will be discussed below. The association was not as strong in the stratum abused in childhood (r = 0.608, p<.001) and in the PTSD-positive cohort (r = 0.699, p <.001) compared with the non-abused stratum (r =0.760, p <.001) and non-exposed cohort (r = 0.765, p <.001).
Discussion
Results of this study redress gaps in the literature regarding PTSD and perinatal outcomes by using a prospective cohort design, recruiting a diverse sample, considering one major antecedent trauma type, and taking numerous theoretically relevant factors into account. Findings show that there is an association between PTSD diagnosis and the adverse outcomes of lower birth weight and shorter gestation and that the effect is strongest among women currently affected with PTSD who are childhood abuse survivors. In the abused subsample, substance use and antepartum complications play a role in lower birth weight. African American race weakens the association of prenatal PTSD with birth weight.. . Race is not an independent predictor of prematurity among abuse survivors. Adequate prenatal care, which is a protective factor in the overall and non-abused samples, is not protective in relation to either outcome among childhood abuse survivors. The decrement in birth weight for women with current PTSD is 283 grams compared with the trauma-exposed, resilient cohort and 221 grams compared with the non-exposed cohort. This is a clinically meaningful difference, especially as it co-occurs with the 13.3% low birth weight rate and 22.4% preterm birth rate for this group, suggesting that it could contribute to infant morbidity.
Future research on plausible biological mechanisms for the effects of PTSD on perinatal outcomes should consider that PTSD-related pathophysiology may affect birth weight and gestational length via different mechanisms. Our post hoc analysis of the correlation of gestational age with birth weight informs this thinking because the expected high correlation was weakest in the childhood abuse stratum and in the PTSD-positive cohort. For example, women with PTSD from childhood maltreatment could have dysregulation in the oxytocin system stress-response function.33 This in turn could affect fetal growth via oxytocin's interaction with growth hormones.34 The duration of gestation could be affected by PTSD-associated HPA axis dysregulation.35 This in turn could affect the cervix and chorioamnion by inflammatory and immune system alterations.35,36 Other investigators have demonstrated that the impact of stress exposure (i.e., the acute trauma of death of a family member during pregnancy) can differentially affect birth weight and gestational outcomes,37 and that the biological indictors of stress or distress can be better predictors than the psychological factor.38 The different patterns of factors predicting the two outcomes in this clinical study support the need for future studies of mechanisms to continue to model birth weight and gestational age separately. Conversely, population-based research to replicate these findings on large, representative samples is needed, In these future studies, the public health and economic effects of PTSD in pregnancy can be better estimated on the outcome of small size for gestational age which can then be considered in relation to population standards.
The finding that African American race is only variably involved in the pathway between PTSD and these adverse outcomes also seems important from a clinical and public health perspective. Race has been considered a nearly immutable perinatal risk factor in the US , but findings from these models suggest that part of the risk may be shared with the treatable condition of PTSD, especially when the PTSD occurs in the aftermath of childhood abuse. Importantly, our analysis of race as a risk factor for PTSD6 indicated that African American women are at no greater risk for onset of PTSD, but they have four-fold greater risk for remaining affected by PTSD at the time of pregnancy. Reasons for this greater risk of PTSD in pregnancy include having had less treatment, and having had more lifetime trauma exposures overall which may maintain or re-activate PTSD. Moreover, because their average age at pregnancy is younger, they would have had less time elapse since childhood abuse occurred, so less chance for remittance. Young age itself also is a risk factor for PTSD.39 Disparities in birth outcomes in other nations may also occur based on disadvantaged status (e.g., immigrant versus native born women;e.g.40) and disadvantaged status likely is associated with greater trauma exposure and PTSD in these settings as well.e.g.41 Thus child abuse, gender-based violence, other culturally-specific trauma exposures, and PTSD status should be incorporated into international perinatal epidemiology studies. A public health framework could thus be applied to understand lower birth weight and shorter gestation as the tertiary outcomes of failure to implement primary prevention of trauma exposure and secondary prevention of PTSD prior to pregnancy. Taken together, the findings from this study suggest heretofore unexamined possibilities to address potentially causative factors for perinatal health disparities.
The finding that prenatal care is not protective for the child abuse survivors is consistent with numerous qualitative42 and clinical43-45 papers indicating that abuse survivors, especially those with histories of sexual abuse, avoid or struggle with prenatal care. Avoidance of reminders of their precipitating trauma (i.e., triggers) is a hallmark and diagnostic criterion for PTSD. So women with abuse-related PTSD may come later to prenatal care or skip visits to avoid triggers such as vaginal examinations or caregiver relationship challenges. Alternatively, when women with a trauma history do adhere to the visit schedule, they may experience PTSD exacerbation, undermining the benefits of care by activating biological and behavioral stress responses. Research is warranted to develop maternity care models that address the needs of this substantial population. A 2008 study of 4,549 children in the US found girls in the 14-17 year old group had a lifetime maltreatment rate of 18.6% (excluding sexual assault by a known adult), and a 13.8% lifetime rate of completed or attempted rape, of which half (7.7%) were by a known adult.46 In this study's community sample, 31.6% of women who were maltreated prior to age 16 met PTSD criteria during pregnancy, with childhood abuse-related PTSD accounting for 56.1% of those cases occurring during pregnancy (X2(1) = 84.5, p <.001). It is important to determine what benefit there might be to trauma-informed outreach programs to encourage PTSD-affected women to enter prenatal care earlier. Research is also warranted to develop adapted service delivery models (e.g., continuity to improve trust, referral to obstetricians or midwives interested in psychosomatic care) or enriched models of care such as the use of doulas or outreach workers trained to provide trauma-informed supportive care which might improve adherence to prenatal care. At the very least, integrating screening and treatment for PTSD into prenatal clinic routines would seem reasonable and a critical first step in addressing the potential risks of PTSD on pregnancy outcomes suggested in this investigation and others. This might only represent an incremental change in service delivery in settings where these structures are already in place to address depression or risk of domestic violence. There are evidence-based psychotherapy and pharmacology treatments for PTSD.47 Research is warranted to determine their safety and efficacy for pregnant women and to determine if treating PTSD improves perinatal outcomes. It will be an especially high priority to conduct such research and implement programs in settings where minority women are served.
Findings of this study differ somewhat from two studies of childhood sexual abuse survivors that found higher rates of preterm birth. Noll and her colleagues48 have followed a Washington, D.C. cohort of girls in child protection services for sexual abuse and a matched comparison group. The rate of preterm birth was 20.6% for the abused group and 10.7% for the comparison group (adjusted OR=2.80, CI +/-1.44, p<.05). Leeners and her colleagues49 in a retrospective study of 85 mothers in Germany seeking support services for a history of childhood sexual abuse and 170 matched controls found similar rates and odds ratios for preterm birth (18.8% versus 8.2%, OR 2.58, CI 1.19, 5.59). By contrast, our modeling did not find childhood maltreatment (defined as physical, emotional, or sexual abuse or physical neglect) to be a significant independent predictor of preterm birth, but rather found that PTSD that was subsequent to such trauma exposure was implicated instead. Post hoc chi-square tests in our data verified that childhood sexual abuse specifically had no significant association with preterm birth. Neither the Noll et al. nor the Leeners et al. studies measured PTSD as a possible mediator of the preterm birth outcome. However, adults whose sexual abuse had resulted in their being identified for child protection services and adults seeking mental health support services for sexual abuse may well have been affected by PTSD that was unmeasured.
Limitations to this study are those inherent to survey research. Recall of trauma exposures and lifetime PTSD symptomatology is retrospective and subject to stigma, such that the levels disclosed here could be under-reported. Conversely, women could erroneously report pregnancy symptoms as PTSD symptoms, decreasing specificity. Not all eligible women accepted the invitation to participate or were reached for the survey, and we have no data about those who did not consent and complete the survey. We did not analyse racial or ethnic groups other than African Americans. We only included women giving birth for the first time, so we do not know the impact of having had a previous traumatic birth or of prior stillbirth or loss of a child; and we do not know if PTSD affects outcomes of subsequent pregnancy to the same extent as it affects first pregnancy. Nor did we have enough women with other high magnitude exposures (e.g., intimate partner violence survivors, combat veterans, refugees) to know the specific effects of these trauma exposures on perinatal health.
There also are several strengths to this study including the three-cohort design, the large, diverse sample, and the organising framework that considers additional relevant predictors including depression, substance use, recent intimate partner violence, medical and obstetric risk, prenatal care and mental health treatment, race and poverty. The ability to stratify to examine abuse-related PTSD specifically was also a strength since this trauma exposure in early development may have been a factor in the inconsistent findings of previous studies, particularly in disaster research where other lifetime exposures are seldom analysed. The potential limitations in trauma history and PTSD measurement were anticipated and addressed by choosing well-established, standardised instruments and a survey research organization experienced in the conduct of mental health research. The Life Stressor Checklist is an established trauma history measure designed specifically for use with women. It queries trauma exposures with behaviorally specific language, separating the query about whether the exposure happened (yes/no) from the evaluation that it was traumatic (i.e., that the woman felt fear, helplessness, or horror) to increase reliability of reporting. We examined the validity of PTSD symptom reporting during pregnancy by comparing the results of our pregnancy survey with the age-matched sample from the National Women's Study50 and concluded that the symptom reporting appears to be highly specific to PTSD. The collaboration of three major medical centers permitted inclusion of both affluent and disadvantaged women who would have experienced a range of high- and low-risk models of care with diverse maternity care providers, including trainees and faculty members in obstetrics, family medicine, and midwifery. These strengths contribute to both internal validity and generalisability.
Clinical implications follow from these findings. Assessment for trauma history and PTSD using brief measures validated for primary care settings should be implemented in addition to the depression assessment that is becoming a standard of care. PTSD-affected women should be offered an opportunity to discuss their traumatic stress concerns with a maternity care team member. Referral to specialty care to have decision-making help abuse using evidence-based treatments for PTSD in pregnancy may be desired by some pregnant women. Nursing or education visits to address concerns regarding labour, breastfeeding, or early parenting are likely to be more widely accepted. Interdisciplinary collaboration likely will be useful to maternity care professionals in the short term. Referral is unlikely to be a sufficient response since intrusive medical procedures and labour are particularly triggering situations where it is the maternity care provider who is involved and able to adapt care to make these situations less stressful. Consulting with mental health professionals experienced in working with PTSD can help maternity care providers increase their comfort and skill as they add addressing trauma-related needs to the list of treatment modalities they offer.
There are numerous research implications. PTSD-specific interventions for pregnant women are urgently needed, with priority efforts going toward developing programs that are feasible to implement in low-resource settings, culturally acceptable to minority women, and tailored to address the needs of women with abuse-related PTSD. Studies also are needed to assess the pregnancy-specific benefit-risk profile of existing evidence-based specialty treatments for PTSD (e.g., exposure therapy) and pharmacotherapies (e.g., selective serotonin reuptake inhibitors). Given the effect size of PTSD on the outcomes of birth weight and gestational age, studies are needed on the effects of PTSD on other maternal-child outcomes (e.g., labour processes, breastfeeding, postpartum mental health, and bonding). Biological research is needed to understand the possibly distinct mechanisms of lower birth weight and shorter gestation in PTSD-affected women, especially those with a childhood maltreatment history. Studies also are needed to examine the effect of PTSD on the birth outcomes of other highly traumatised groups, including veterans and refugees, and also on the birth outcomes of multiparous women where previous perinatal loss or traumatic birth may be important antecedent exposures.
Conclusion
The findings of this investigation provide a substantial contribution to our understanding of the effects of PTSD on the perinatal outcomes of birth weight and gestational age in this sample. In particular these findings indicate that PTSD in pregnancy accounts for a decrement of over 200 grams in birth weight, a difference that is more weakly correlated with gestational age among affected women than among controls. These findings further suggest that it may be the greater risk that African Americans carry for having PTSD during pregnancy,6 rather than race alone, that accounts for some of the disparity in birth outcomes. The models also indicate that it is the subset of women whose PTSD is secondary to childhood abuse who are most vulnerable to these lower birth weight and shorter gestation outcomes and that prenatal care is not protective for them. Addressing abuse-related PTSD in maternity care settings is thus an additional avenue for improving the childbearing experience, mental health, and perinatal outcomes of sociodemographically and psychologically vulnerable women.
Supplementary Material
Table S1a: Overview of studies of gestational age and birthweight that analysed PTSD as a risk factor in community or prenatal samples.
Table S1b: Overview of studies of gestational age and birthweight that analysed PTSD as a risk factor in disaster samples.
Table S2: Measures used to collect data for variables in the regression models:
Table S3: Regression of conceptual framework predictors on the outcome of birth weight with the whole sample and stratified by childhood abuse history.
Table S4: Regression of conceptual framework predictors on the outcome of gestational age with the whole sample and stratified by childhood abuse history.
Acknowledgements
The authors wish to thank the obstetric nurses who made this study possible by recruiting women and by abstracting record data, particularly Diane Dengate and Becky Banks, and research assistants Caroline D. Reed and Lydia Hamama.
Funding
This study was funded by the National Institutes of Health, National Institute for Nursing Research grant number NR008767 (Seng, PI), “Psychobiology of PTSD & Adverse Outcomes of Childbearing.”
Footnotes
Interests
The authors have no interests to declare.
Ethics information
The Institutional Review Boards of all three medical centers approved and oversaw the conduct of research for this project; University of Michigan IRBMED #2004-1046 , Henry Ford Health System IRB #3533 , Wayne State University HIC #059105B3E.
References
- 1.Kaminer D, Grimsrud A, Myer L, Stein DJ, Williams DR. Risk for post-traumatic stress disorder associated with different forms of interpersonal violence in South Africa. Soc Sci Med. 2008;67:1589–95. doi: 10.1016/j.socscimed.2008.07.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Hapke U, Schumann A, Rumpf HJ, John U, Meyer C. Post-traumatic stress disorder: the role of trauma, pre-existing psychiatric disorders, and gender. Eur Arch Psychiatry Clin Neurosci. 2006;256:299–306. doi: 10.1007/s00406-006-0654-6. [DOI] [PubMed] [Google Scholar]
- 3.Creamer M, Burgess P, McFarlane AC. Post-traumatic stress disorder: findings from the Australian National Survey of Mental Health and Well-being. Psychol Med. 2001;31:1237–47. doi: 10.1017/s0033291701004287. [DOI] [PubMed] [Google Scholar]
- 4.de Jong JT, Komproe IH, Van Ommeren M, El Masri M, Araya M, Khaled N, van De Put W, Somasundaram D. Lifetime events and posttraumatic stress disorder in 4 postconflict settings. JAMA. 2001;286:555–62. doi: 10.1001/jama.286.5.555. [DOI] [PubMed] [Google Scholar]
- 5.Seng JS, Low LK, Sperlich M, Ronis DL, Liberzon I. Prevalence, trauma history, and risk for posttraumatic stress disorder among nulliparous women in maternity care. Obstet Gynecol. 2009;114:839–47. doi: 10.1097/AOG.0b013e3181b8f8a2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Seng JS, Kohn-Wood LP, McPherson MD, Sperlich M. Disparities in trauma history and posttraumatic stress disorder in a community sample of pregnant women. Archives of Women's Mental Health. doi: 10.1007/s00737-011-0218-2. In press at. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Center for Healthcare Research and Transformation [November 16, 2010];Issues Brief on Prematurity. http://www.chrt.org/assets/price-of-care/CHRT-Issue-Brief-November-2010.pdf.
- 8.Talge NM, Holzman C, Wang J, Lucia V, Gardiner J, Breslau N. Late-preterm birth and its association with cognitive and socioemotional outcomes at 6 years of age. Pediatrics. 2010;126:1124–31. doi: 10.1542/peds.2010-1536. [DOI] [PubMed] [Google Scholar]
- 9.Seng JS, Oakley DJ, Sampselle CM, Killion C, Graham-Bermann S, Liberzon I. Posttraumatic stress disorder and pregnancy complications. Obstet Gynecol. 2001;97(1):17–22. doi: 10.1016/s0029-7844(00)01097-8. [DOI] [PubMed] [Google Scholar]
- 10.Rogal SS, Poschman K, Belanger K, Howell HB, Smith MV, Medina J, Yonkers KA. Effects of posttraumatic stress disorder on pregnancy outcomes. J Affect Disord. 2007;102:137–43. doi: 10.1016/j.jad.2007.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Rosen D, Seng JS, Tolman RM, Mallinger G. Intimate partner violence, depression, and posttraumatic stress disorder as additional predictors of low birth weight infants among low-income mothers. J Interpers Violence. 2007;22(10):1305–1314. doi: 10.1177/0886260507304551. [DOI] [PubMed] [Google Scholar]
- 12.Morland L, Goebert D, Onoye J, Frattarelli L, Derauf C, Herbst M, Matsu C, Friedman M. Posttraumatic stress disorder and pregnancy health: preliminary update and implications. Psychosomatics. 2007;48:304–308. doi: 10.1176/appi.psy.48.4.304. [DOI] [PubMed] [Google Scholar]
- 13.Berkowitz GS, Wolff MS, Janevic TM, Holzman IR, Yehuda R, Landrigan PJ. The World Trade Center disaster and intrauterine growth restriction. JAMA. 2003 Aug 6;290(5):595–6. doi: 10.1001/jama.290.5.595-b. [DOI] [PubMed] [Google Scholar]
- 14.Chang HL, Chang TC, Lin TY, Kuo SS. Psychiatric morbidity and pregnancy outcome in a disaster area of Taiwan 921 earthquake. Psychiatry Clin Neurosci. 2002;56:139–44. doi: 10.1046/j.1440-1819.2002.00948.x. [DOI] [PubMed] [Google Scholar]
- 15.Engel SM, Berkowitz GS, Wolff MS, Yehuda R. Psychological trauma associated with the World Trade Center attacks and its effect on pregnancy outcome. Paediatr Perinat Epidemiol. 2005;19(5):334–341. doi: 10.1111/j.1365-3016.2005.00676.x. [DOI] [PubMed] [Google Scholar]
- 16.Xiong X, Harville EW, Mattison DR, Elkind-Hirsch K, Pridjian G, Buekens P. Exposure to Hurricane Katrina, post-traumatic stress disorder and birth outcomes. Am J Med Sci. 2008 Aug;336(2):111–5. doi: 10.1097/MAJ.0b013e318180f21c. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lipkind HS, Curry AE, Huynh M, Thorpe LE, Matte T. Birth outcomes among offspring of women exposed to the September 11, 2001, terrorist attacks. Obstet Gynecol. 2010 Oct;116(4):917–25. doi: 10.1097/AOG.0b013e3181f2f6a2. [DOI] [PubMed] [Google Scholar]
- 18.Heim C, Ehlert U, Hellhammer DH. The potential role of hypocortisolism in the pathophysiology of stress-related bodily disorders. Psychoneuroendocrinology. 2002;25:1–35. doi: 10.1016/s0306-4530(99)00035-9. [DOI] [PubMed] [Google Scholar]
- 19.Inslicht SS, Marmar CR, Neylan TC, et al. Increased cortisol in women with intimate partner violence-related posttraumatic stress disorder. Psychoneuroendocrinology. 2006;31:825–38. doi: 10.1016/j.psyneuen.2006.03.007. [DOI] [PubMed] [Google Scholar]
- 20.Van de Kolk BA, Roth S, Pelcovitz D, Sunday S, Spinazzola J. Disorders of extreme stress: The empirical foundation of a complex adaptation to trauma. J Trauma Stress. 2005;18:389–99. doi: 10.1002/jts.20047. [DOI] [PubMed] [Google Scholar]
- 21.Cloitre M, Stolbach B, Herman J, Kolk B, Pynoos R, Wang J, Petkova E. A developmental approach to complex PTSD: Childhood and adult cumulative trauma as predictors of symptom complexity. J Traum Stress. 2009;22:399–408. doi: 10.1002/jts.20444. [DOI] [PubMed] [Google Scholar]
- 22.Breslau N, Davis GC, Peterson EL, Schultz L. Psychiatric sequelae of posttraumatic stress disorder in women. Arch Gen Psychiatry. 1997;54(1):81–87. doi: 10.1001/archpsyc.1997.01830130087016. [DOI] [PubMed] [Google Scholar]
- 23.Seng JS. A conceptual framework for research on lifetime violence, posttraumatic stress, and childbearing. J Midwifery Womens Health. 2002;47:337–346. doi: 10.1016/s1526-9523(02)00275-1. [DOI] [PubMed] [Google Scholar]
- 24.Petersen R, Saltzman LE, Goodwin M, Spitz A. Key Scientific Issues for Research on Violence Occurring Around the Time of Pregnancy. Report prepared for the CDC. 1998 April; www.cdc.gov (available via Ms. Spitz, Division of Reproductive Health, K-35, CDC, 4770 Buford Hwy, Atlanta, GA 30341-3724 and via).
- 25.Liberzon I, Taylor SF, Amdur R, Jung TD, Chamberlain KR, Minoshima S, Koeppe RA, Fig LM. Brain activation in PTSD in response to trauma-related stimuli. Biol Psychiatry. 1999;45:817–26. doi: 10.1016/s0006-3223(98)00246-7. [DOI] [PubMed] [Google Scholar]
- 26.Seng JS, Mugisha E, Miller JM. Reliability of a perinatal outcomes measure: the Optimality Index-US. J Midwifery Womens Health. 2008;53:110–14. doi: 10.1016/j.jmwh.2007.09.006. [DOI] [PubMed] [Google Scholar]
- 27.Waltz C, Strickland O, Lenz E. Measurement in nursing research. F.A. Davis; Philadelphia: 1991. [Google Scholar]
- 28.Wolfe J, Kimerling R. Gender issues in the assessment of posttraumatic stress disorder. In: Wilson JP, Keane TM, editors. Assessing Psychological Trauma and PTSD. Guilford; New York: 1997. pp. 192–238. [Google Scholar]
- 29.Resnick HS, Kilpatrick DG, Dansky BS, Saunders BE, Best CL. Prevalence of civilian trauma and posttraumatic stress disorder in a representative national sample of women. J Consult Clin Psychol. 1993;61:984–91. doi: 10.1037//0022-006x.61.6.984. [DOI] [PubMed] [Google Scholar]
- 30.Beck LF, Morrow B, Lipscomb LE, et al. Prevalence of selected maternal behaviors and experiences, Pregnancy Risk Assessment Monitoring System (PRAMS), 1999. MMWR Surveill Summ. 2002;51:1–27. [PubMed] [Google Scholar]
- 31.Wittchen HU. Reliability and validity studies of the WHO--Composite International Diagnostic Interview (CIDI): a critical review. J Psychiatr Res. 1994;28:57–84. doi: 10.1016/0022-3956(94)90036-1. [DOI] [PubMed] [Google Scholar]
- 32.McFarlane J, Parker B, Soeken K, Bullock L. Assessing for abuse during pregnancy. Severity and frequency of injuries and associated entry into prenatal care. JAMA. 1992;267:3176–8. doi: 10.1001/jama.267.23.3176. [DOI] [PubMed] [Google Scholar]
- 33.Seng JS. Posttraumatic oxytocin dysregulation: is it a link among posttraumatic self disorders, posttraumatic stress disorder, and pelvic visceral dysregulation conditions in women? J Trauma Dissociation. 2010;11:387–406. doi: 10.1080/15299732.2010.496075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Sohlstrom A, Carlsson-Skwirut C, Bang P, Brismar K, Uvnas-Moberg K. Effects of Oxytocin Treatment Early in Pregnancy on Fetal Growth in ad Libitum-Fed and Food-Restricted Rats. Pediatric Research. 1999;46:339–44. doi: 10.1203/00006450-199909000-00016. [DOI] [PubMed] [Google Scholar]
- 35.Pace TW, Heim CM. A short review on the psychoneuroimmunology of posttraumatic stress disorder: from risk factors to medical comorbidities. Brain Behav Immun. 2011;25:6–13. doi: 10.1016/j.bbi.2010.10.003. [DOI] [PubMed] [Google Scholar]
- 36.Green NS, Damus K, Simpson JL, Iams J, Reece EA, Hobel CJ, Merkatz IR, Greene MF, Schwarz RH, March Of Dimes Scientific Advisory Committee On Prematurity Research agenda for preterm birth: Recommendations from the March of Dimes. Am J Obstet Gynecol. 2005;193(3 Pt 1):626–635. doi: 10.1016/j.ajog.2005.02.106. [DOI] [PubMed] [Google Scholar]
- 37.Class QA, Lichtenstein P, Langstrom N, D'Onofrio B. Timing of prenatal maternal exposure to severe life events and adverse pregnancy outcomes: A population study of 2.6 million pregnancies. Psychosom Med. 2011;73:234–41. doi: 10.1097/PSY.0b013e31820a62ce. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Bolten MI, Wurmser H, Buske-Kirschbaum A, Papousek M, Pirke KM, Hellhamer D. Cortisol levels in pregnancy as a psychobiological predictor for birth weight. Arch Womens Ment Health. 2011;14:33–41. doi: 10.1007/s00737-010-0183-1. [DOI] [PubMed] [Google Scholar]
- 39.Breslau N. The epidemiology of posttraumatic stress disorder: What is the extent of the problem?. J Clin Psychiatry. 2001;62(Suppl 17):16–22. [PubMed] [Google Scholar]
- 40.Bollini P, Pampallona S, Wanner P, Kupelnick B. Pregnancy outcome of migrant women and integration policy: a systematic review of the international literature. Soc Sci Med. 2009;68:452–61. doi: 10.1016/j.socscimed.2008.10.018. [DOI] [PubMed] [Google Scholar]
- 41.Myer L, Stein DJ, Grimsrud A, Seedat S, Williams DR. Social determinants of psychological distress in a nationally-representative sample of South African adults. Soc Sci Med. 2008;66:1828–40. doi: 10.1016/j.socscimed.2008.01.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Sperlich M, Seng J. Survivor Moms: Women's Stories of Birthing, Mothering, and Healing after Sexual Abuse. Motherbaby Press; Eugene, OR: 2008. [Google Scholar]
- 43.American College of Obstetricians & Gynecologists . ACOG Education Bulletin: number 259. The College; Washington, DC: 2000. Adult manifestation of childhood sexual abuse. [DOI] [PubMed] [Google Scholar]
- 44.American College of Obstetricians & Gynecologists . ACOG Education Bulletin: number 257. The College; Washington, DC: 1999. Domestic violence. [Google Scholar]
- 45.Bohn DK, Holz KA. Sequelae of abuse. Health effects of childhood sexual abuse, domestic battering, and rape. J Nurse Midwifery. 1996;41:442–56. doi: 10.1016/s0091-2182(96)80012-7. [DOI] [PubMed] [Google Scholar]
- 46.Finkelhor D, Turner H, Ormond R, Hamby SL. Violence, abuse, and crime exposure in a national sample of children and youth. Pediatrics. 2009;124:1411–23. doi: 10.1542/peds.2009-0467. [DOI] [PubMed] [Google Scholar]
- 47.Forbes D, Creamer M, Bisson JI, Cohen JA, Crow BE, Foa EB, Friedman MJ, Keane TM, Kudler HS, Ursano RJ. A guide to guidelines for the treatment of PTSD and related conditions. J Traum Stress. 2010;23:537–52. doi: 10.1002/jts.20565. [DOI] [PubMed] [Google Scholar]
- 48.Noll JG, Schulkin J, Trickett PK, Susman EJ, Breech L, Putnam FW. Differential pathways to preterm delivery for sexually abused and comparison women. J Ped Psychol. 2007;32:1238–48. doi: 10.1093/jpepsy/jsm046. [DOI] [PubMed] [Google Scholar]
- 49.Leeners B, Richter-Appelt H, Imthurn B, Rath W. Influence of childhood sexual abuse on pregnancy, delivery, and the early postpartum period in adult women. J Psychosom Res. 2006;61:139–51. doi: 10.1016/j.jpsychores.2005.11.006. [DOI] [PubMed] [Google Scholar]
- 50.Seng JS, Rauch SA, Resnick H, Reed CD, King A, Kane Low L, et al. Exploring posttraumatic stress disorder symptom profile among pregnant women. J Psychosom Obstet Gynaecol. 2010;31:176–87. doi: 10.3109/0167482X.2010.486453. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Table S1a: Overview of studies of gestational age and birthweight that analysed PTSD as a risk factor in community or prenatal samples.
Table S1b: Overview of studies of gestational age and birthweight that analysed PTSD as a risk factor in disaster samples.
Table S2: Measures used to collect data for variables in the regression models:
Table S3: Regression of conceptual framework predictors on the outcome of birth weight with the whole sample and stratified by childhood abuse history.
Table S4: Regression of conceptual framework predictors on the outcome of gestational age with the whole sample and stratified by childhood abuse history.