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Original Article

Trauma Exposure and Posttraumatic Stress Disorder Symptoms Predict Onset of Cardiovascular Events in WomenCLINICAL PERSPECTIVE

Jennifer A. Sumner, Laura D. Kubzansky, Mitchell S.V. Elkind, Andrea L. Roberts, Jessica Agnew-Blais, Qixuan Chen, Magdalena Cerdá, Kathryn M. Rexrode, Janet W. Rich-Edwards, Donna Spiegelman, Shakira F. Suglia, Eric B. Rimm, Karestan C. Koenen
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https://doi.org/10.1161/CIRCULATIONAHA.114.014492
Circulation. 2015;132:251-259
Originally published June 29, 2015
Jennifer A. Sumner
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Laura D. Kubzansky
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Mitchell S.V. Elkind
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Andrea L. Roberts
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Jessica Agnew-Blais
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Qixuan Chen
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Magdalena Cerdá
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Kathryn M. Rexrode
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Janet W. Rich-Edwards
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Donna Spiegelman
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Shakira F. Suglia
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Eric B. Rimm
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Karestan C. Koenen
From Department of Epidemiology, Columbia University Mailman School of Public Health, New York (J.A.S., M.S.V.E., M.C., S.F.S., K.C.K.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (L.D.K., A.L.R., J.A.-B., K.C.K.); Department of Neurology, Columbia College of Physicians and Surgeons, New York (M.S.V.E.); Department of Biostatistics, Columbia University Mailman School of Public Health, New York (Q.C.); Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA (K.M.R.); Department of Epidemiology, Harvard School of Public Health, Boston, MA (J.W.R.-E., D.S., E.B.R., K.C.K.); The Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA (J.W.R.-E.); Department of Biostatistics, Harvard School of Public Health, Boston, MA (D.S.); Department of Nutrition, Harvard School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
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Abstract

Background—Psychological stress is a proposed risk factor for cardiovascular disease (CVD), and posttraumatic stress disorder (PTSD), the sentinel stress-related mental disorder, occurs twice as frequently in women as men. However, whether PTSD contributes to CVD risk in women is not established.

Methods and Results—We examined trauma exposure and PTSD symptoms in relation to incident CVD over a 20-year period in 49 978 women in the Nurses’ Health Study II. Proportional hazards models estimated hazard ratios and 95% confidence intervals for CVD events confirmed by additional information or medical record review (n=548, including myocardial infarction [n=277] and stroke [n=271]). Trauma exposure and PTSD symptoms were assessed by using the Brief Trauma Questionnaire and a PTSD screen. In comparison with no trauma exposure, endorsing ≥4 PTSD symptoms was associated with increased CVD risk after adjusting for age, family history, and childhood factors (hazard ratio,1.60; 95% confidence interval, 1.20–2.13). Being trauma-exposed and endorsing no PTSD symptoms was associated with elevated CVD risk (hazard ratio, 1.45; 95% confidence interval, 1.15–1.83), although being trauma-exposed and endorsing 1 to 3 PTSD symptoms was not. After adjusting for adult health behaviors and medical risk factors, this pattern of findings was maintained. Health behaviors and medical risk factors accounted for 14% of the trauma/no symptoms–CVD association and 47% of the trauma/4+ symptoms–CVD association.

Conclusion—Trauma exposure and elevated PTSD symptoms may increase the risk of CVD in this population of women. These findings suggest that screening for CVD risk and reducing health risk behaviors in trauma-exposed women may be promising avenues for prevention and intervention.

  • cardiovascular diseases
  • epidemiology
  • stress disorders, post-traumatic
  • women

Introduction

Despite progress in risk factor identification and treatment, cardiovascular disease (CVD) remains the leading cause of death in women,1 and the prevalence of CVD in middle-aged women in particular is on the rise.2 Consequently, there have been calls to expand the scope of research beyond established CVD risk factors to improve intervention and prevention efforts.1 Psychological stress has long been hypothesized to be a risk factor for CVD,3 and exposure to extremely stressful or traumatic events, such as childhood adversity4 and combat,5 has been linked to increased CVD risk. Posttraumatic stress disorder (PTSD) occurs in some individuals following trauma exposure and is characterized by reexperiencing the trauma, avoidance of trauma reminders, emotional numbing, and hyperarousal. PTSD, considered the sentinel stress-related mental disorder, is common, with lifetime prevalence rates twice as high in women (10%) as in men (5%).6 Evidence for a PTSD-CVD relation is suggestive,7 and PTSD has been linked to CVD risk-related biomarkers, including elevated inflammatory markers8 and serum lipid concentrations.9 Nevertheless, a systematic literature review indicated a paucity of large, prospective epidemiological studies of the relations between trauma exposure, PTSD, and CVD, particularly among women.10

Editorial see p 227

Clinical Perspective on p 259

Despite emerging findings on stress-related mental disorders and CVD, the understanding of whether PTSD increases risk of CVD is limited in important ways. First, the PTSD-CVD relation has been understudied in women. PTSD is more prevalent and associated with greater chronicity and impairment in women than men,6,11 and CVD manifests in unique ways in women in comparison with men.12 Thus, studying the PTSD-CVD relation specifically in women is important. To date, of the 7 prospective studies of PTSD and incident CVD,5,13–18 only one has been conducted in women.18 This study by Kubzansky et al,18 which suggested elevated CVD risk in women with higher PTSD symptoms, relied on self-reported CVD outcomes, necessitating replication with confirmed outcomes. Second, the PTSD-CVD association may be confounded by trauma exposure. It remains unclear whether trauma exposure alone or the mental health consequences of trauma, most typically PTSD, lead to increased CVD risk. Third, although PTSD has been associated with behavioral risk factors for CVD, including cigarette smoking,19 obesity,20 and physical inactivity,21 little research has investigated whether these and other behavioral and medical risk factors mediate the PTSD-CVD relation.

We addressed these underexamined issues using data from a subsample of the Nurses’ Health Study II (NHS II), an ongoing cohort study of younger and middle-aged women initiated in 1989. We compared the incidence of CVD events (myocardial infarction [MI] and stroke) confirmed by additional information or medical record review over a 20-year period in women without trauma exposure and with trauma exposure and different PTSD symptom levels. All women were <65 years of age at the end of the study period; thus, our investigation addressed the association between trauma, PTSD, and early-onset CVD, an important risk phenotype, particularly in women.12 We also investigated health behaviors and medical risk factors as potential mediators of associations between trauma, PTSD symptoms, and CVD incidence. We hypothesized that trauma exposure and elevated PTSD symptoms would be associated with increased CVD risk in comparison with no trauma exposure, with women with the highest PTSD symptoms showing the most elevated risk attributable to greatest behavioral and biological dysregulation.

Methods

Sample

The NHS II includes 116 430 US female nurses, aged 25 to 42 years at enrollment in 1989 and followed biennially. In 2008, when participants were aged 44 to 62 years, 60 804 women who completed the 2001 violence questionnaire and 2007 biennial questionnaire were mailed a supplemental questionnaire assessing trauma exposure and PTSD symptoms.22 To maximize retention, supplemental surveys are only sent to those who returned biennial questionnaires. After repeated mailings, 54 282 women returned the questionnaire (89% response rate). This study was approved by the Institutional Review Board of Brigham and Women’s Hospital. Return of the questionnaire via US mail constituted implied consent.

Trauma and PTSD Assessment

Trauma exposure was measured with a 16-item modified version of the Brief Trauma Questionnaire.22 The Brief Trauma Questionnaire is considered a reliable and valid measure of trauma exposure that parallels interview measures of trauma exposure.22–24 Exposure to 15 traumatic events (eg, natural disaster exposure, unwanted sexual contact, physical assault), in addition to “a seriously traumatic event not already covered,” was assessed; exposure to each event at any point in one’s lifetime was coded as present or absent. Respondents identified which event occurred first and which event was their worst or most distressing experience. They also reported their ages at the first and worst events. Occurrence of PTSD symptoms in participants’ lifetimes was queried with respect to the worst traumatic event by using the 7-item Short Screening Scale for Diagnostic and Statistical Manual of Mental Disorders, 4th Edition PTSD.25 This scale assesses 7 PTSD symptoms (each coded as present or absent). A cutoff score of 4 has been recommended for identifying probable PTSD25; this cutoff has been found to define positive cases of PTSD in other samples with a sensitivity of 85% and specificity of 93%.25 The reliability of the self-reported age-of-onset of trauma and PTSD has been found to be excellent in this sample (intraclass correlation coefficient=0.95).

For each year of the study, participants were categorized into 4 groups based on the year of their first trauma and the year of their worst trauma: (1) no trauma exposure, (2) trauma-exposed and endorsed no PTSD symptoms on the screen (referred to as trauma/no symptoms), (3) trauma-exposed and endorsed 1 to 3 PTSD symptoms (referred to as trauma/1–3 symptoms), and (4) trauma-exposed and endorsed ≥4 PTSD symptoms (referred to as trauma/4+ symptoms). Before their first trauma (if one was reported), women were categorized as having no trauma exposure. After their first trauma, women were classified as trauma/no symptoms. Following their worst trauma, women were classified as trauma/no symptoms, trauma/1 to 3 symptoms, or trauma/4+ symptoms based on the number of PTSD symptoms reported with respect to the worst event. If women reported only 1 event, then the years of the first trauma and worst trauma were the same.

Cardiovascular End Point Assessment

At baseline, participants reported whether they ever experienced physician-diagnosed MI or angina or stroke (cerebrovascular accident) or transient ischemic attack). A positive response to any of these CVD end points at baseline resulted in exclusion from the analyses. At each biennial follow-up, participants indicated whether they had a physician-diagnosed MI or stroke (cerebrovascular accident) or transient ischemic attack in the past 2 years. Consistent with previous research,4 we defined CVD events based on MI and stroke. Transient ischemic attack alone (n=39) was excluded. All CVD events were nonfatal. Physicians blind to participants’ trauma/PTSD status reviewed medical records to confirm reported CVD events after obtaining participants’ permission. MI was confirmed if it met World Health Organization criteria based on symptoms plus diagnostic ECG changes or elevated cardiac-specific enzyme concentrations.26 Stroke was confirmed based on National Survey of Stroke criteria as a neurological deficit with sudden or rapid onset that persisted for >24 hours or until death.27 Cases confirmed by record review were considered definite cases. CVD events were classified as probable cases if a participant or relative acknowledged the reported diagnosis as correct but access to medical records was denied or unable to be attained. Trauma exposure and PTSD symptoms were not associated with differential rates of record refusal (χ2(df=3)=1.57, P=0.67). In this study, we considered probable or definite CVD events based on the 1991 to 2009 questionnaires (n=548).

Covariates

Family history and childhood factors were included as potential confounders, specifically race/ethnicity (black, Latina, Asian, white, other), maximum parental education at the participant’s birth (high school or less, some college, 4+ years of college), maternal and paternal history of MI or stroke, and somatotype at 5 years of age based on a somatogram scale (to estimate childhood adiposity).

Adult health behaviors and medical risk factors were examined as possible mediators of the PTSD-CVD association. These time-varying covariates were assessed at baseline via self-report and updated biennially, unless otherwise noted (see Figure 1 for study timeline). Adult body mass index in kg/m2 was computed from self-reported height and weight and coded continuously.28 In addition, participants were classified as nonsmokers, former smokers, or current smokers of 1 to 14, 15 to 24, or 25+ cigarettes/d. Alcohol consumption was assessed in 1989, 1991, 1995, 1999, 2003, and 2007, and categorized as 0, 1 to 4, 5 to 9, 10 to 19, or 20+ g/d. Physical activity was measured in 1989, 1991, 1997, 2001, and 2005, and categorized as <3, 3 to 8.9, 9 to 17.9, 18 to 26.9, or 27+ metabolic equivalent hours per week. Diet quality was assessed every 4 years beginning in 1991 and quantified based on the Alternative Healthy Eating Index, which has been linked to CVD risk.29 Alternative Healthy Eating Index scores were divided into quintiles; the highest quintile represented the healthiest diet. Time-varying indicators for the presence or absence of physician-diagnosed hypertension and type 2 diabetes mellitus, along with use of hormone therapy (never used/premenopausal, current user, former user), were included as covariates given evidence for associations with MI or stroke.30–32 We also examined the use of antidepressant medication (ADM), which is often prescribed for PTSD33 and has been linked to increased CVD risk.34 Lifetime ADM use was assessed in 1993, and regular past 2-year ADM use was assessed in 1997, 2001, 2003, 2005, and 2007. We created a single time-varying ADM use variable. Women who endorsed lifetime ADM use in 1993 were coded as having used ADM from 1989 to 1993, and use was updated as available.

Figure 1.
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Figure 1.

Timeline of variables collected at biennial assessments. Response rates for the analytic sample are listed for each time point. Trauma/PTSD status was assigned for each year of the study and updated based on the reported age of worst trauma (assessed with a supplemental questionnaire in 2008). ADM indicates antidepressant medication; BMI, body mass index; CVD, cardiovascular disease; HT, hormone therapy; HTN, hypertension; PTSD, posttraumatic stress disorder; and T2D, type 2 diabetes mellitus.

Sensitivity Analyses

Childhood abuse and depression have been associated with increased CVD risk in this cohort,4,35 and we examined potential confounding by childhood abuse and depression before the onset of PTSD. Childhood sexual abuse (CSA) before 18 years of age was measured in 2001 with 4 questions regarding unwanted sexual touching or forced or coerced sexual contact by an adult or older child.36 Responses were coded as no sexual abuse, sexual touch only, or forced sex.4 Childhood physical abuse was assessed in 2001 with the revised Conflict Tactics Scale,37 and classified as none, mild, moderate, or severe.4 Depressive symptoms were assessed in 1993 with the 5-item Short Form-36 Mental Health scale, a mental health status measure found to be valid in screening for depression.38

Exclusions

A flowchart of participant exclusions used to derive the analytic sample (N=49 978) is depicted in Figure 2. Women excluded from analyses were similar to those included in terms of childhood adiposity (highest somatotype at 5 years of age: 6.9% versus 6.9%), age at baseline (34.1 versus 34.7 years), body mass index at baseline (24.3 versus 23.8), and cumulative incidence of CVD events from 1989 to 2009 (1.2% versus 1.1%), although they reported somewhat lower rates of family history of CVD: maternal history of MI (9.6% versus 11.0%), maternal history of stroke (6.1% versus 8.8%), paternal history of MI (26.1% versus 29.6%), and paternal history of stroke (8.9% versus 13.1%).

Figure 2.
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Figure 2.

Flowchart of exclusions for deriving the final analytic sample. MI indicates myocardial infarction; NHS II, Nurses’ Health Study II; and PTSD, posttraumatic stress disorder.

Statistical Analysis

We investigated whether trauma exposure and PTSD symptoms were associated with CVD incidence by using Cox proportional hazards models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Participants contributed person-time from baseline in 1989 until their last returned questionnaire, CVD onset, or the end of follow-up based on the 2009 questionnaire. Trauma exposure and PTSD symptoms at baseline were updated over the study period based on participants’ reported age at the worst trauma. Models were constructed such that, for each time period of prediction (eg, CVD from the 1993 questionnaire), proposed mediators were lagged by 1 period (eg, data from the 1991 questionnaire) and trauma/PTSD status was lagged such that it represented the year before the period for the mediators (eg, trauma/PTSD status in 1990).

We tested a series of models that sequentially adjusted for potential confounders and mediators. Model 1 adjusted for age and included dummy variables representing trauma/no symptoms, trauma/1 to 3 symptoms, and trauma/4+ symptoms. Model 2 adjusted for family history and childhood factors considered potential confounders (race/ethnicity, parental education, maternal and paternal history of MI or stroke, 5 years of age somatotype). Model 3 adjusted for adult health behaviors that might serve as mediators of the PTSD-CVD association (body mass index, cigarette smoking, alcohol intake, physical activity, diet quality). Model 4 adjusted for all factors included in model 3 plus medical risk factors that have been directly or indirectly linked with trauma exposure or PTSD, and CVD (hypertension, type 2 diabetes mellitus, hormone therapy use, ADM use). We investigated the extent to which health behaviors and medical risk factors in model 4 might account for increased CVD risk in women with trauma exposure and PTSD symptoms using the SAS mediate macro.39,40 This macro calculates point estimates (and 95% CIs) of the percentage of exposure effect explained by ≥1intermediate variables, and is estimated on the coefficient scale.

To test potential confounding by childhood abuse, we reestimated model 2 adjusting for childhood abuse. We also investigated potential confounding by depression before PTSD onset by adjusting for depressive symptoms assessed in 1993 (the earliest depression measure in the NHS II). Depression can be triggered by PTSD41 and could mediate the PTSD-CVD association. We were most concerned with investigating whether depression before PTSD accounted for our results. To ensure that depression occurred before PTSD, we began our prediction period after 1993 and excluded PTSD cases with onset in or before 1993, resulting in a sample size of 40 356. We also examined potential effect modification by testing interactions between trauma/PTSD status with childhood abuse and early depression, because these variables might potentiate the association between trauma/PTSD status and CVD. In addition, we addressed the possible impact of recall bias in the retrospective reporting of trauma and PTSD given that most CVD events occurred before the trauma and PTSD assessment in 2008. We conducted an analysis that included only CVD events occurring after trauma and PTSD assessment (ie, 163 CVD events reported on the 2009 biennial questionnaire), adjusting for model 2 covariates.

Results

Participant characteristics as a function of trauma exposure and PTSD symptoms at baseline are presented in Table 1. Approximately 30% of participants did not report any traumatic events at or before baseline. Just >50% of women were classified as trauma/no symptoms at baseline, 9.5% of women were classified as trauma/1 to 3 symptoms, and 9.5% of women were classified as trauma/4+ symptoms. In comparison with no trauma exposure, trauma exposure and PTSD symptoms were associated with higher rates of cigarette smoking and family history of MI and stroke, in addition to a greater likelihood of reporting the highest somatotype at 5 years of age. Over follow-up, an additional 4372 women reported trauma exposure. In the final period for predicting CVD incidence, ≈21% of women were classified as having no trauma exposure, 47% as trauma/no symptoms, and 16% each as trauma/1 to 3 symptoms, and trauma/4+ symptoms, respectively.

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Table 1.

Participant Characteristics as a Function of Trauma Exposure and PTSD Symptoms at the NHS II 1989 Baseline Assessment (N=49 978)

There were 548 probable or definite CVD events (277 MI and 271 stroke events) between 1989 and 2009. In comparison with no trauma exposure, both trauma/no symptoms and trauma/4+ symptoms were associated with increased risk of CVD incidence after adjusting for demographic, family history, and childhood factors (Table 2, model 2). Women with ≥4 PTSD symptoms had the highest risk of a CVD event, followed by trauma-exposed women endorsing no symptoms, although the HRs for these 2 groups were not significantly different, P=0.42. Endorsing 1 to 3 PTSD symptoms was not significantly associated with risk of CVD incidence, and the HRs for the trauma/no symptoms and trauma/4+ symptoms groups were significantly greater than the HR for the trauma/1 to 3 symptoms group, Ps<0.01. The associations between trauma/no symptoms and trauma/4+ symptoms with CVD incidence remained statistically significant, albeit somewhat attenuated, after adjusting for adult health behaviors (Table 2, model 3). Adjusting for health conditions and CVD-associated medication use further attenuated the associations, although trauma/no symptoms remained significantly associated with elevated CVD risk (Table 2, model 4). Trauma/PTSD status was significantly associated with all proposed health behavior and medical risk factor mediators, Ps<0.05. Based on the SAS mediate macro and assuming their actions were fully those of mediation (and not confounding), adult health behaviors and medical risk factors accounted for 14% (95% CI, 3%–25%) of the association of trauma/no symptoms with CVD and 47% (95% CI, 23%–70%) of the association of trauma/4+ symptoms with CVD. There were no significant exposure-mediator interactions (Ps>0.05), and confounding of mediator-outcome associations was minimized by statistically controlling for relevant variables, including demographics, family history, and childhood adiposity. Moreover, the effect estimates of the mediators were highly similar in models with and without these potential confounders, suggesting that confounding was minimal.

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Table 2.

Adjusted Hazard Ratios (95% Confidence Intervals) for the Association of Trauma Exposure and PTSD Symptoms With Risk of Incident Cardiovascular Events, 1989 to 2009

Previous research in this population has demonstrated an association of childhood abuse with CVD incidence.4 In the current sample (which overlapped somewhat, but not completely, with the sample used in the previous study4), CSA was associated with increased CVD risk (HR, 1.23; 95% CI, 1.00–1.50 for sexual touching only and HR, 1.62; 95% CI, 1.27–2.07 for forced sex) over and above age, family history, and childhood factors. Childhood physical abuse was not significantly associated with CVD incidence, Ps>0.14. To investigate whether current findings were confounded by CSA, we conducted a sensitivity analysis adjusting for CSA. Trauma/no symptoms and trauma/4+ symptoms were still associated with increased risk of CVD (adjusting for covariates in model 2; HR, 1.37; 95% CI, 1.08–1.73 for trauma/no symptoms; HR, 0.91; 95% CI, 0.65–1.27 for trauma/1–3 symptoms; and HR, 1.39; 95% CI, 1.03–1.87 for trauma/4+ symptoms). Moreover, there was no significant interaction between CSA and trauma/PTSD status for CVD incidence, P=0.28.

We also considered whether depressive symptoms might confound our findings. When covarying depressive symptoms in 1993 along with the covariates in model 2, trauma/no symptoms and trauma/4+ symptoms were associated with elevated CVD risk; the HRs were close in magnitude to those in the original analyses, although the trauma/4+ symptoms–CVD association fell short of statistical significance (HR,1.48; 95% CI, 1.15–1.91 for trauma/no symptoms; HR, 1.07; 95% CI, 0.75–1.51 for trauma/1–3 symptoms; and HR, 1.53; 95% CI, 0.90–2.61 for trauma/4+ symptoms). There was no significant interaction between depression and trauma/PTSD status for risk of incident CVD, P=0.997.

In the prospective analysis predicting incident CVD based on the 2009 questionnaire (adjusted for covariates in model 2), trauma/no symptoms, and trauma/4+ symptoms were associated with increased risk of CVD incidence (HR,1.27; 95% CI, 0.83–1.94 for trauma/no symptoms; HR, 0.79; 95% CI, 0.44–1.42 for trauma/1–3 symptoms; and HR, 1.42; 95% CI, 0.86–2.34 for trauma/4+ symptoms). These findings did not reach statistical significance, likely because of the limited statistical power in this short follow-up period.

We also examined associations of trauma exposure and PTSD symptoms separately with incidence of probable or definite MI (n=277) and stroke (n=271) over the entire study period (Table 3). The results for MI were similar to those for overall CVD, with trauma/no symptoms and trauma/4+ symptoms associated with increased risk of MI incidence in comparison with no trauma exposure. Only trauma/4+ symptoms was significantly related to stroke incidence.

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Table 3.

Adjusted Hazard Ratios (95% Confidence Intervals) for the Association of Trauma Exposure and PTSD Symptoms With Risk of Incident MI and Stroke, 1989 to 2009

Discussion

We examined whether trauma exposure and PTSD symptoms were associated with risk of early-onset CVD (MI and stroke) over 20 years in a large, population-based cohort of female nurses. We have 3 key findings. First, higher PTSD symptoms (ie, endorsing ≥4 symptoms on the PTSD screen) were associated with increased risk of CVD incidence. Second, trauma exposure alone (endorsing no PTSD symptoms on the screen) was associated with elevated CVD risk. Third, adult health behaviors and medical risk factors accounted for an estimated 14% of the association of trauma/no symptoms with CVD and an estimated 47% of the association of trauma/4+ symptoms with CVD. Our findings suggest that elevated PTSD symptoms and trauma exposure may each be associated with poor cardiovascular health. To our knowledge, this is the first study in women to (1) predict CVD events confirmed by additional information or record review, (2) consider the effects of trauma exposure separately from PTSD, and (3) examine health behaviors and medical risk factors as potential mediators of the associations between trauma exposure, PTSD symptoms, and CVD incidence.

Overall, our results are consistent with the broader PTSD-CVD literature, including the only other study conducted in women.18 In the present study, CVD risk was highest for women endorsing ≥4 symptoms on the PTSD screen, a commonly used cutoff for probable PTSD diagnosis.25 Effect sizes remained elevated and similar in magnitude in sensitivity analyses adjusting for CSA and depression before PTSD onset, suggesting that these results were not simply reflecting previously demonstrated effects of CSA or depression. Elevated PTSD symptoms were also associated with increased risk of MI and stroke incidence when we examined these outcomes separately. Trauma-exposed women endorsing 1 to 3 PTSD symptoms on the screen did not have significantly elevated risk of CVD in comparison with women with no trauma. This result was unexpected because some research has found subthreshold PTSD to be associated with physical health problems.42 The 95% CI for the HR for the trauma/1 to 3 symptoms group was wide, however, and included values >1. Further research that assesses all PTSD symptom criteria using a clinical interview is needed to better understand the associations of full and partial PTSD diagnoses with CVD.

Unlike most studies of PTSD and CVD, we examined the associations of both trauma exposure and PTSD symptoms with CVD risk in a single investigation. Preliminary evidence in the literature suggests that trauma exposure is associated with physical health independent of psychopathology.43 Our finding that trauma exposure in women endorsing no PTSD symptoms was related to increased CVD risk is consistent with the notion that trauma exposure per se has negative health consequences, although additional risk factors are also likely at play. Furthermore, some researchers have suggested that trauma-exposed individuals who do not endorse any PTSD symptoms may engage in coping strategies (eg, emotional suppression) that may generate physical distress and lead to negative physical health consequences,44 and our findings are congruent with this account. Although the NHS II data do not permit a detailed examination of this hypothesis, this would be of interest for further study. Overall, these results suggest that the effects of trauma on physical health may impact more than just those who develop PTSD symptoms. Nevertheless, more research is needed, particularly studies that assess multiple manifestations of posttraumatic psychopathology to account for alternative psychopathological responses to trauma that are not captured by PTSD.

Adult health behaviors and medical risk factors (including ADM use) accounted for an estimated 14% and 47% of the associations of trauma/no symptoms and trauma/4+ symptoms with CVD, respectively. Comprehensive investigations of the mechanisms linking PTSD to CVD are lacking,45 but previously we found that health behaviors and medical risk factors accounted for 60% to 80% of associations between childhood abuse and CVD incidence.4 Our findings suggest that health behavioral correlates explained some, but not all, of the trauma/no symptoms–CVD and trauma/4+ symptoms–CVD relations. Although measurement error could have attenuated these associations, additional mechanisms of risk are of interest for future study. Trauma exposure and PTSD are associated with dysregulation of the autonomic nervous system, hypothalamic-pituitary-adrenal axis, and inflammatory response, and subsequent changes in catecholamines, cortisol, and inflammatory cytokines may increase CVD risk.45 Research measuring the changes in CVD-related biomarkers from before to after trauma exposure and PTSD onset will help elucidate biological mechanisms. Furthermore, although we accounted for several health behaviors, data were unavailable on additional behavioral correlates of PTSD that may contribute to CVD. For example, insomnia and poor sleep quality (eg, attributable to nightmares) are common in PTSD, and sleep problems (eg, daytime sleepiness) have been associated with CVD risk.46

This study has several limitations. We used retrospective assessment of trauma and PTSD symptoms, and the precision of reports, particularly regarding the dating of traumatic experiences, may have been reduced. Furthermore, trauma history and PTSD symptoms were measured in 2008, after many CVD events occurred. Nevertheless, trauma exposure and PTSD symptoms were associated with elevated CVD risk when we analyzed CVD events occurring only after trauma/PTSD assessment. Another limitation is that PTSD symptoms were assessed with a screen that did not measure all diagnostic criteria. Thus, our results are not generalizable to clinical diagnoses. Additionally, because we twice lagged the primary exposure of trauma/PTSD in models to avoid effect-cause artifacts, some results might be underestimates if some of the effects of trauma and PTSD appear within a few years after trauma/PTSD onset. Further research examining the effects of time since trauma and PTSD duration with respect to CVD risk is needed.

Survivor bias is another concern, because women needed to remain in the NHS II until 2008 to provide data on trauma and PTSD. Given that PTSD has been associated with increased mortality risk,5 our findings may underestimate the PTSD-CVD relation if those with (versus without) PTSD were more likely to die before PTSD assessment. However, the death rate in the NHS II is low and unlikely to substantially influence estimates; 1.6% of the original sample (n=1826) was deceased by the trauma and PTSD assessment in 2008. Nevertheless, results should be considered in light of this limitation. Additionally, the NHS II cohort is predominantly white and highly educated, which may limit the generalizability of findings. Furthermore, because women were aged 44 to 64 years at the end of follow-up, our results pertain to nonfatal early-onset CVD. Additional research on trauma, PTSD, and later-onset CVD (including fatal events) is needed.

The current study also has several strengths that make it unlike previous investigations. It is based on a large-scale long-running cohort that is well-characterized with regard to CVD risk and risk-related factors. We also considered the effects of PTSD in community-dwelling women exposed to a range of traumas. Additionally, we (1) evaluated trauma and PTSD in relation to validated CVD events as confirmed by additional information or record review; (2) contrasted a no-trauma group with a trauma-exposed group endorsing no PTSD symptoms; and (3) incorporated longitudinal, repeated-measures data to estimate the impact of potential mediators.

Thus, we believe that our findings have potential implications for treatment and prevention. Currently, neither the American Heart Association nor the American Stroke Association recognizes trauma or PTSD as risk factors for CVD,47 and there is no systematic approach for addressing CVD risk factors in trauma-exposed individuals with or without PTSD. Our findings, together with those in the literature, suggest that PTSD may be a modifiable risk factor for CVD. Additional research on the mechanisms underlying the relations between trauma, PTSD, and CVD will help to elucidate the understanding of these associations. If research continues to demonstrate associations between trauma exposure, PTSD, and CVD incidence (particularly evidence for causal links), then assessing and monitoring cardiovascular function in trauma-exposed individuals and those with PTSD may have a positive public health impact and help to detect preclinical markers of cardiovascular dysfunction. Furthermore, it will be important to examine whether successful PTSD treatment has a positive impact on cardiovascular health. In sum, broadly recognizing that trauma and PTSD, which are public health concerns in their own right, have more far-reaching effects on physical health than previously thought may begin to inform public health interventions aimed at reducing risk of CVD, the leading cause of morbidity and mortality.

Acknowledgments

We acknowledge the Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, and Harvard Medical School for managing the NHS II.

Sources of Funding

This study was supported by the National Institutes of Health grants R01MH101269-01A1 (to KCK, LDK) and UM1CA176726 (for NHS II infrastructure).

Disclosures

None.

Footnotes

  • Guest Editor for this article was Mercedes R. Carnethon, PhD.

  • Received November 23, 2014.
  • Accepted May 8, 2015.
  • © 2015 American Heart Association, Inc.

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CLINICAL PERSPECTIVE

Trauma exposure and posttraumatic stress disorder (PTSD) are common in women; approximately 1 in 9 women in the United States will develop PTSD in their lifetime. In comparison with those with no trauma exposure, women with trauma exposure and elevated PTSD symptom levels were at increased risk of developing cardiovascular disease. Health behaviors and medical risk factors were found to account for a sizeable proportion of the cardiovascular disease risk associated with trauma exposure and elevated PTSD symptoms. Our findings suggest that screening for cardiovascular disease risk and reducing health risk behaviors in trauma-exposed women may be promising avenues for prevention and intervention. Further research is also needed to examine whether successful treatment of PTSD has a positive impact on cardiovascular health in women.

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July 28, 2015, Volume 132, Issue 4
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    Trauma Exposure and Posttraumatic Stress Disorder Symptoms Predict Onset of Cardiovascular Events in WomenCLINICAL PERSPECTIVE
    Jennifer A. Sumner, Laura D. Kubzansky, Mitchell S.V. Elkind, Andrea L. Roberts, Jessica Agnew-Blais, Qixuan Chen, Magdalena Cerdá, Kathryn M. Rexrode, Janet W. Rich-Edwards, Donna Spiegelman, Shakira F. Suglia, Eric B. Rimm and Karestan C. Koenen
    Circulation. 2015;132:251-259, originally published June 29, 2015
    https://doi.org/10.1161/CIRCULATIONAHA.114.014492

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    Trauma Exposure and Posttraumatic Stress Disorder Symptoms Predict Onset of Cardiovascular Events in WomenCLINICAL PERSPECTIVE
    Jennifer A. Sumner, Laura D. Kubzansky, Mitchell S.V. Elkind, Andrea L. Roberts, Jessica Agnew-Blais, Qixuan Chen, Magdalena Cerdá, Kathryn M. Rexrode, Janet W. Rich-Edwards, Donna Spiegelman, Shakira F. Suglia, Eric B. Rimm and Karestan C. Koenen
    Circulation. 2015;132:251-259, originally published June 29, 2015
    https://doi.org/10.1161/CIRCULATIONAHA.114.014492
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