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ORIGINAL CONTRIBUTION




           Risk Factors for Postpartum Depression: A Retrospective Investigation
           at 4-Weeks Postnatal and a Review of the Literature
           Sarah J. Breese McCoy, PhD; J. Martin Beal, DO; Stacia B. Miller Shipman, OMS IV ;
           Mark E. Payton, PhD; and Gary H. Watson, PhD

Objective: To describe possible correlations between inci-                      patient characteristics routinely recorded in patient records
dence of postpartum depression and the following patient                        may be underutilized by physicians when screening patients
characteristics: age, breastfeeding status, tobacco use, mar-                   for PPD: age, breastfeeding status, tobacco use, marital status,
ital status, history of depression, and method of delivery.                     history of depression, and method of delivery.
Study Design: Data gathered at routine 4-week postnatal                              Identification of clear correlations between certain risk fac-
visits were obtained from the patient records of 209 women                      tors and a diagnosis of PPD could lead to earlier intervention
who gave birth between June 1, 2001, and June 1, 2003, at                       for these patients.
three university medical clinics in Tulsa, Okla. Inclusion cri-
teria required that the records of potential study subjects                     Materials and Methods
contain data on the characteristics noted as well as patient-                   Subjects
completed Edinburgh Postnatal Depression Scale forms.                           We sought to analyze patient records for the following patient
Results: Formula feeding in place of breastfeeding, a history                   characteristics at 4-weeks postnatal: EPDS numerical score,
of depression, and cigarette smoking were all significant                       breastfeeding status, method of delivery (ie, vaginal
risk factors for an Edinburgh Postnatal Depression Scale                        birth vs cesarean section), history of depression, marital status,
score of 13 or higher, indicating probable postpartum depres-                   tobacco use, and patient age (Ͻ 21 years vs у21 years). With
sion.                                                                           regard to dividing subjects into two groups by patient age,
Conclusion: The authors’ findings corroborate the results of                    we used the same protocol used in a 1996 study by Chen.9
previous investigators. To facilitate prophylactic patient edu-                      Potential subjects for our study were women who gave
cation and intervention strategies, a larger study is recom-                    birth between June 1, 2001, and June 1, 2003, at three sites in the
mended to determine risk factors for postpartum depression.                     Oklahoma State University (OSU) Physician clinic system in
                                                                                Tulsa. The urban population served by the OSU Physician
J Am Osteopath Assoc. 2006;106:193–198                                          clinic system is largely uninsured.
                                                                                     Our study was conducted prior to the implementation

P   ostpartum depression (PPD) is a serious public health
    concern1 that affects approximately 13% of women who
give birth.2 As routine screening for this condition has become
                                                                                of universal screening for PPD in the OSU Physician clinic
                                                                                system. However, screening for PPD was often conducted at
                                                                                clinic sites during the standard 4-week postnatal visit.
more common in routine obstetric care,3,4 data are now more                          Study inclusion was dependent on the presence of com-
readily available to assist researchers in identifying patient                  plete patient data for the characteristics under investigation as
characteristics that may be associated with increased risk of                   well as a patient-completed EPDS from the 4-weeks postnatal
PPD.                                                                            visit. In addition, to distinguish potential PPD from a pre-
     The self-administered, 10-question Edinburgh Postnatal                     vious diagnosis of major depression, the records of patients
Depression Scale (EPDS)5 is an effective screening tool for                     whose list of current medications included an antidepressant
PPD because it is reliable, easy for clinicians to score, and                   were excluded from study. Finally, any patients whose infants
predictive of a clinical diagnosis of PPD.3–8 In addition, other                were stillborn or died before the 4-week postnatal follow-up
                                                                                were excluded from the study because we sought to examine
                                                                                risk factors that correlate with typical PPD, rather than the
From the Departments of Obstetrics and Gynecology (McCoy, Beal) and             grief process that accompanies the loss of an infant.
Research (Miller Shipman) at the Oklahoma State University College of Osteo-         Because other relevant and potentially interesting data,
pathic Medicine in Tulsa. Also from the Department of Statistics (Payton) at    such as race and family history of depression, were not avail-
Oklahoma State University in Stillwater and the Department of Biochem-
istry (Watson) at Georgia Campus–Philadelphia College of Osteopathic            able in many patient records, these data were excluded from
Medicine in Suwanee, Ga.                                                        analysis in the present study.
    Address correspondence to Sarah J. Breese McCoy, PhD, Office of Research,        The study protocol was developed in accordance with
Oklahoma State University Center for Health Sciences, 1111 W 17th St, Tulsa,
OK 74107-1898.                                                                  the Health Insurance Portability and Accountability Act guide-
    E-mail: sjmccoy98@aol.com                                                   lines enacted in 2003, and patient confidentiality was

McCoy et al • Original Contribution                                                                            JAOA • Vol 106 • No 4 • April 2006 • 193
ORIGINAL CONTRIBUTION

protected through all phases of this investigation. In addition,      Results
the protocol described was reviewed and approved by                   During the study period, 1072 women delivered infants at
the institutional review board at the OSU Center for Health           the three study sites. Of these 1072 potential subjects, 217 (20%)
Sciences.                                                             women had patient records in which none of the variables
                                                                      noted was missing from their patient records.
Statistical Analysis                                                       Of the 217 women whose records contained a patient-
Patient data were systematically recorded by one investigator         completed EPDS, 7 (3.2%) were eliminated from the study
(S.B.M.S.) and a medical student for analysis on a spreadsheet        because their lists of current medications included an antide-
(Microsoft Excel 2003; Microsoft Corp, Redmond, Wash).                pressant. One potential subject was excluded because her
      After appropriate study subjects were identified, investi-      infant was stillborn.
gators masked the identity of the patients, concealing patient             Of the 209 women remaining in the study population
names and assigning a random number that was used as an               after inclusion and exclusion criteria were applied, 128 (61%)
identifier. The master list that contained the name-number            had an EPDS score of 12 or below (ie, not depressed), and
conversions was destroyed at the project’s close. All data pro-       81 (39%) had a score of 13 or higher (ie, depressed).
vided in the present study are reported as mean scores of all              Among the 81 women whose EPDS results indicated a
study participants.                                                   possible diagnosis of PPD, there was no significant difference
      Patient characteristics were analyzed individually against      by patient age or marital status at 4-weeks postnatal (Table).
EPDS scores with ␹2 tests. Possible patient scores for the 10-             Breastfeeding was associated with a significantly lower
question EPDS can range from 0 to 30. Test sensitivity and            occurrence of PPD than formula feeding only (PϽ.001). The
specificity for the EPDS are reported at 86% and 78%, respec-         relative risk factor for formula feeding only was 2.04 (PϽ.05).
tively.5 Cox et al,5 the instrument’s developers, recommend that           There was a significant difference in the occurrence of
patients with EPDS scores higher than 12 receive a clinical           PPD between women who had a history of depression noted
evaluation for diagnosis of PPD.                                      in their records and those without a history of depression
      Australian investigators in a 1993 study8 (N=103) reported      (P=.003). The relative risk factor for women with a history of
even better results for the sensitivity (100%) and speci-             depression was 1.87 (PϽ.05).
ficity (95.7%) of the EPDS when using the developers’ recom-               Cigarette smoking was associated with a significantly
mended 12- or 13-point cutoff for a diagnosis of probable PPD.        higher occurrence of PPD than was not smoking (P=.01). The
Although the 1993 article by Boyce and colleagues8 had a              relative risk factor for cigarette smoking was 1.58 (PϽ.05).
sample population from Australia and New Zealand, and                      Vaginal birth was not associated with a significantly
their results, therefore, perhaps cannot be applied to the pre-       lower occurrence of a positive screen for PPD than cesarean
sent study, we believe that the sensitivity and specificity values    section (P=.09).
reported by the instrument’s developers5 may be conservative.              Three combinations of patient characteristics were found
      In light of the long-term reliable performance of the           to have additive effects on the likelihood of subjects receiving
EPDS,4,5,8,10,11 we decided to label subjects as either “depressed”   an EPDS score that was predictive of PPD:
or “not depressed” based on EPDS scores alone, with a score of        ▫ not breastfeeding and a history of depression (P=.12),
13 on the EPDS indicating probable PPD.                               ▫ cigarette smoking and a history of depression (P=.29), and
      We are aware that several other instruments may be used         ▫ cigarette smoking and not breastfeeding (P=.96).
by clinicians to diagnose PPD more definitively than the
EPDS10 (eg, Beck Depression Inventory,12–14 Center for Epi-           Comment
demiologic Studies Depression Scale,15 Zung’s Self-rating             We acknowledge the limitations of a study based, as ours is,
Depression Scale,16 Hamilton Rating Scale for Depression17).          on convenience sampling. However, we are persuaded that the
Physicians in the OSU Physician clinic system use the EPDS for        statistical findings we have reported have merit because they
convenience (ie, it is reliable, easy to score, and highly predic-    tend to support the findings in numerous randomized
tive). Therefore, the EPDS provided the only standardized data        studies,7,10,18–29 as noted elsewhere.
related to PPD available in patient records for our retrospective           Although PPD affects approximately 13% of women who
investigation.                                                        give birth,2 a disproportionately high number of women (81
      We calculated the relative risk for each statistically sig-     [39%]) in this patient sample had EPDS scores that indicated
nificant risk factor. Significant risk factors were then analyzed     possible diagnosis for PPD. Because universal screening for
using log-linear models, or multidimensional ␹2 tests. We deter-      PPD at 4-weeks postnatal was not in effect at the three study
mined that P values at the level of р.05 would be considered          sites during the study period, our study may have been affected
statistically significant. Small P values (ie, Ͻ.05) were consid-     by referral bias. Physicians may have been more likely to
ered to indicate a lack of additivity—or to indicate a lack of        ask patients with signs and symptoms of depression to
independence of these factors as they affect PPD. Conversely,         take the EPDS.
nonsignificant P values indicated some degree of additivity.                A second contributing factor to the disparity between

194 • JAOA • Vol 106 • No 4 • April 2006                                                                 McCoy et al • Original Contribution
ORIGINAL CONTRIBUTION

                                                                                                                          Editor’s message: In the original
                                                                         Table                                            print publication, the Yes and No
                                                   Postpartum Depression by Patient Characteristic:                       column headings under “EPDS
                                                                                                                          Score, у13” were accidentally
                                                         Results of ␹2 Test Analysis (N=209)*                             reversed. The error has been cor-
                                                                                                                          rected here.
                                                                                        EPDS Score, у13

                           Characteristic                               n                Yes            No                    P

                           Ⅲ Age                                                                                            .57
                           ▫ Ͻ21 y                                    72               26 (36)        46 (64)
                           ▫ у21 y                                   137               55 (40)        82 (60)
                           Ⅲ Breastfeeding                                                                              Ͻ.001
                           ▫ Yes                                      70               16 (23)        54 (77)
                           ▫ No                                      139               65 (47)        74 (53)
                           Ⅲ Married                                                                                        .28
                           ▫ Yes                                      64               21 (33)        43 (67)
                           ▫ No                                      145               60 (41)        85 (59)
                           Ⅲ History of depression                                                                        .003
                           ▫ Yes                                      26               17 (65)         9 (35)
                           ▫ No                                      183               64 (35)       119 (65)
                           Ⅲ Cigarette smoker                                                                               .01
                           ▫ Yes                                      59               31 (53)        28 (47)
                           ▫ No                                      150               50 (33)       100 (67)
                           Ⅲ Method of delivery                                                                             .09
                           ▫ Vaginal birth                           163               58 (36)       105 (64)
                           ▫ Cesarean section                         46               23 (50)        23 (50)


                           * Data are reported as No. (%) unless otherwise specified. EPDS indicates Edinburgh Postnatal Depression
                             Scale.5 For the purposes of this study, investigators divided subject records into two categories. Subjects
                             with EPDS scores of 12 or lower were labeled “not depressed”; subjects with EPDS scores of 13 or higher
                             were labeled “depressed.”




this study group’s incidence of PPD and incidence levels                              EPDS in a study of 306 women, treating age as a continuum,
reported elsewhere8,10,30,28 may be that the population served                        rather than dividing the women into two or more distinct
by the three study sites is mostly poor and/or indigent. Poverty                      groups by age. The age of the mother was one of several inde-
is a risk factor for PPD and is associated with more than twice                       pendent variables associated with PPD, including poverty,
the documented rate of occurrence of PPD.31 Morris-Rush and                           previous mental disturbance, use of anesthesia during birth,
coauthors4 studied two inner city practices in New York and                           and family dysfunction.
found that 22% of patients who took the EPDS had results                                   Although our results disagreed with those of Chen9 and
that were positive for PPD.                                                           Sierra Manzano et al,32 one possible reason for the discrep-
      Having a sample of patients whose incidence of PPD                              ancy could relate to cultural factors or societal views of young
approached the known incidence of PPD across the general                              mothers. In our sample, most of the women were from dis-
population was not germane to the primary objective of our                            advantaged socioeconomic backgrounds.
study, however. We suggest that having more women with
possible PPD in our sample group does not significantly alter                         Breastfeeding Status
the results of the statistical tests that look for associations                       Misri and colleagues18 observed an association between patients
between PPD and the patient characteristics studied.                                  with PPD and cessation of breastfeeding. However, in that
                                                                                      retrospective study18 (N=51), 83% of patients claimed that the
Review of the Literature and Research Synthesis                                       symptoms of PPD began before the cessation of breastfeeding.
Age                                                                                   Fergerson and coauthors7 reported that a failed attempt at
Chen9 and Sierra Manzano and colleagues32 found a higher                              breastfeeding or early cessation of breastfeeding was found to
incidence of PPD in teenage or adolescent mothers than in                             be significantly associated with higher patient scores on the
older mothers. Sierra Manzano and coinvestigators32 used the                          EPDS (N=72). Abou-Saleh and colleagues19 reported that

McCoy et al • Original Contribution                                                                                           JAOA • Vol 106 • No 4 • April 2006 • 195
ORIGINAL CONTRIBUTION

women who breastfed their infants had significantly lower              of alcohol, illegal drugs, and cigarettes.36 The authors of that
scores than their nonlactating counterparts on the EPDS as             study36 suggested that the stresses of adolescent parenthood
well as on a standard measure of anxiety, the Present State            predisposed young mothers to PPD, and the use of these sub-
Examination.33 Our findings strongly support the results of            stances were likely coping mechanisms or attempts to self-
these earlier studies.7,18,19                                          medicate. Our findings, regarding the incidence of PPD as
     Additional support for the association of breastfeeding           measured through the EPDS in association with tobacco use,
with a lower incidence of PPD is provided by Labbok,20 who             support the assertions of Barnet et al.36
observed that, in countries where exclusive breastfeeding is the
norm, incidence of PPD peaks at around 9-months postpartum;            Method of Delivery: Vaginal Birth vs Cesarean Section
whereas, in countries where formula feeding is the norm, the           The National Center for Health Statistics reports that the per-
incidence of PPD peaks at 3-months postpartum.20 If research           centage of US births delivered by cesarean section in 2003 was
could demonstrate conclusively that women who breastfeed               27.5%, the highest level ever recorded in this country.28 Ascer-
are less likely to experience PPD, those data might provide            taining whether this method of delivery is significantly asso-
additional motivation for women to choose breastfeeding over           ciated with incidence of PPD could be a valuable tool in
formula feeding for their infants.                                     assisting clinicians identify a large (and growing) number of
                                                                       at-risk women.
Marital Status                                                              Bergant and coauthors29 report that cesarean section
Some studies10,21,30 have reported that unmarried women are            was one of several variables considered to be a significant
more likely than their married counterparts to have PPD. In a          risk factor for patients with “early postpartal depressive
1990 study of 69 white women recruited from Lamaze classes             disorder” at 5 days after childbirth. Fisher and colleagues37
and obstetricians’ offices, Pfost and colleagues21 found that          reported that cesarean section was associated with increased
marital status was a significant predictor of PPD. The strength        risk to patients of PPD at 5-weeks postpartum in nulliparous
of this correlation was second only to that of preexisting depres-     women.
sion.30 A 1995 Chilean study of 542 women found that single                 Our results tend to support those of the two previous
mothers (defined by researchers as unmarried, separated, or            investigations.29,37 Although our results did not achieve a level
widowed) were twice as likely to have PPD as their married             of statistical significance (PϽ.1), a trend can be described in
counterparts.30 Finally, a meta-analysis in 2001 of 84 studies         which 36% of subjects who delivered vaginally had EPDS
found marital status to be a small but significant predictor of        scores indicating possible PPD at 4-weeks postnatal vs 50% of
PPD (confidence interval, 0.21–0.35).10                                subjects who underwent cesarean sections for delivery. We
      Our results disagreed with those of Pfost et al,21 Jadresic      recommend additional research on the relationship between
et al,31 and Beck.10 One possible explanation is that both Pfost       method of delivery and PPD.
et al21 and Beck10 did their analyses on data obtained in the
1980s, a time when societal acceptance of unmarried mothers            Additivity
in the United States may not have been as widespread as it is          To determine whether multiple significant risk factors enhanced
today.22,25 Furthermore, as noted, the research published by           clinicians’ abilities to identify women at increased risk of PPD,
Jadresic et al30 was conducted in Chile, which may have a dif-         we assessed additivity of patient characteristics.
ferent set of cultural values than the United States.                         As noted elsewhere, we identified three significant risk fac-
                                                                       tors: formula feeding in place of breastfeeding, history of
History of Depression                                                  depression, and cigarette smoking. None of the three possible
The meta-analysis by Beck10 found strong evidence that                 combinations of these risk factors were significantly nonaddi-
history of depression is a moderate predictor of PPD (confi-           tive. In other words, all three possible combinations may be
dence interval 0.38–0.39). O’Hara and Swain2 found that                somewhat additive.
prenatal depression, in particular, was a strong predictor of                 However, the association between increased incidence
PPD (d=0.75), as did Pfost et al.21 Both studies2,21 replicated the    of PPD and the combination of formula feeding in place of
results of earlier work,24–26,34,35 and our results strongly concur.   breastfeeding and prior history of depression was weakest
                                                                       (ie, closest to significantly nonadditive). Therefore, based on the
Tobacco Use: Cigarette Smoking                                         data reported, additivity between formula feeding only
Cigarette smoking is more common in patients with depres-              and prior history of depression is least convincing.
sion than in people in the general population.23 Furthermore,                 Formula feeding and cigarette smoking were the most
cigarette smoking has been found to be a valuable predictor of         additive, but cigarette smoking and history of depression
substance use (eg, illegal drugs and alcohol), which is also           were also additive. In other words, a patient with two
associated with increased risk of moderate and severe depres-          of these risk factors is even more likely to suffer from
sion.27 In addition, a survey of primiparous adolescents found         PPD than ifshe had any one of these three risk factors
significant statistical associations between PPD and the use           alone. Confirmation of these relationships with further

196 • JAOA • Vol 106 • No 4 • April 2006                                                                   McCoy et al • Original Contribution
ORIGINAL CONTRIBUTION

research could supply physicians with valuable information
for educating and evaluating their patients for PPD.                            12. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for
                                                                                measuring depression. Arch Gen Psychiatry. 1961;4:561–571.

Conclusion                                                                      13. Beck AT, Rial WY, Rickels K. Short form of depression inventory: cross-val-
It is our hope that researchers will assist clinicians in identifying           idation. Psychol Rep. 1974;34:1184–1186.
the conditions and patient characteristics of postpartum women
that are associated with an increased risk of PPD. Researchers                  14. Beck AT, Steer RA. Internal consistencies of the original and revised Beck
                                                                                Depression Inventory. J Clin Psychol. 1984;40:1365–1367.
may then develop reliable screening tests that predate the
onset of postpartum dysphoria.                                                  15. Radloff LS. The CES-D Scale: a self-report depression scale for research in
       We recommend that physicians inquire about breast-                       the general population. Appl Psychol Meas. 1977;1:385–401. Available at:
feeding status, history of depression, and tobacco use among                    http://www.intelihealth.com/IH/ihtIH/WSIHW000/8596/9025/197543.html?d=dm
                                                                                tMHSurvey&screen=2. Accessed March 29, 2006.
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serve as valuable “red flags” to assist physicians in diagnosing                16. Zung WW. A self-rating depression scale. Arch Gen Psychiatry.
patients with PPD: formula feeding in place of breastfeeding,                   1965;12:63–70.
history of depression, and cigarette smoking. The presence of
more than one of these risk factors in postpartum patients                      17. Hamilton M. A rating scale for depression. J Neurol Neursurg Psychi-
                                                                                atry. 1960;23:56–62.
should serve as an even greater warning to physicians that
these patients should be observed, evaluated for, and edu-                      18. Misri S, Sinclair D, Kuan A. Breast-feeding and postpartum depression: is
cated about PPD. As more women with PPD are diagnosed                           there a relationship? Can J Psychiatry. 1997;42:1061–1065.
earlier as a result of such precautions, it is our hope that the suf-
fering of both mother and infant can be reduced.                                19. Abou-Saleh MT, Ghubash R, Karim L, Krymski M, Bhai I. Hormonal aspects
                                                                                of postpartum depression. Psychoneuroendocrinology. 1998;23:465–475.

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198 • JAOA • Vol 106 • No 4 • April 2006                                                                                    McCoy et al • Original Contribution

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Risk factors ppd

  • 1. ORIGINAL CONTRIBUTION Risk Factors for Postpartum Depression: A Retrospective Investigation at 4-Weeks Postnatal and a Review of the Literature Sarah J. Breese McCoy, PhD; J. Martin Beal, DO; Stacia B. Miller Shipman, OMS IV ; Mark E. Payton, PhD; and Gary H. Watson, PhD Objective: To describe possible correlations between inci- patient characteristics routinely recorded in patient records dence of postpartum depression and the following patient may be underutilized by physicians when screening patients characteristics: age, breastfeeding status, tobacco use, mar- for PPD: age, breastfeeding status, tobacco use, marital status, ital status, history of depression, and method of delivery. history of depression, and method of delivery. Study Design: Data gathered at routine 4-week postnatal Identification of clear correlations between certain risk fac- visits were obtained from the patient records of 209 women tors and a diagnosis of PPD could lead to earlier intervention who gave birth between June 1, 2001, and June 1, 2003, at for these patients. three university medical clinics in Tulsa, Okla. Inclusion cri- teria required that the records of potential study subjects Materials and Methods contain data on the characteristics noted as well as patient- Subjects completed Edinburgh Postnatal Depression Scale forms. We sought to analyze patient records for the following patient Results: Formula feeding in place of breastfeeding, a history characteristics at 4-weeks postnatal: EPDS numerical score, of depression, and cigarette smoking were all significant breastfeeding status, method of delivery (ie, vaginal risk factors for an Edinburgh Postnatal Depression Scale birth vs cesarean section), history of depression, marital status, score of 13 or higher, indicating probable postpartum depres- tobacco use, and patient age (Ͻ 21 years vs у21 years). With sion. regard to dividing subjects into two groups by patient age, Conclusion: The authors’ findings corroborate the results of we used the same protocol used in a 1996 study by Chen.9 previous investigators. To facilitate prophylactic patient edu- Potential subjects for our study were women who gave cation and intervention strategies, a larger study is recom- birth between June 1, 2001, and June 1, 2003, at three sites in the mended to determine risk factors for postpartum depression. Oklahoma State University (OSU) Physician clinic system in Tulsa. The urban population served by the OSU Physician J Am Osteopath Assoc. 2006;106:193–198 clinic system is largely uninsured. Our study was conducted prior to the implementation P ostpartum depression (PPD) is a serious public health concern1 that affects approximately 13% of women who give birth.2 As routine screening for this condition has become of universal screening for PPD in the OSU Physician clinic system. However, screening for PPD was often conducted at clinic sites during the standard 4-week postnatal visit. more common in routine obstetric care,3,4 data are now more Study inclusion was dependent on the presence of com- readily available to assist researchers in identifying patient plete patient data for the characteristics under investigation as characteristics that may be associated with increased risk of well as a patient-completed EPDS from the 4-weeks postnatal PPD. visit. In addition, to distinguish potential PPD from a pre- The self-administered, 10-question Edinburgh Postnatal vious diagnosis of major depression, the records of patients Depression Scale (EPDS)5 is an effective screening tool for whose list of current medications included an antidepressant PPD because it is reliable, easy for clinicians to score, and were excluded from study. Finally, any patients whose infants predictive of a clinical diagnosis of PPD.3–8 In addition, other were stillborn or died before the 4-week postnatal follow-up were excluded from the study because we sought to examine risk factors that correlate with typical PPD, rather than the From the Departments of Obstetrics and Gynecology (McCoy, Beal) and grief process that accompanies the loss of an infant. Research (Miller Shipman) at the Oklahoma State University College of Osteo- Because other relevant and potentially interesting data, pathic Medicine in Tulsa. Also from the Department of Statistics (Payton) at such as race and family history of depression, were not avail- Oklahoma State University in Stillwater and the Department of Biochem- istry (Watson) at Georgia Campus–Philadelphia College of Osteopathic able in many patient records, these data were excluded from Medicine in Suwanee, Ga. analysis in the present study. Address correspondence to Sarah J. Breese McCoy, PhD, Office of Research, The study protocol was developed in accordance with Oklahoma State University Center for Health Sciences, 1111 W 17th St, Tulsa, OK 74107-1898. the Health Insurance Portability and Accountability Act guide- E-mail: sjmccoy98@aol.com lines enacted in 2003, and patient confidentiality was McCoy et al • Original Contribution JAOA • Vol 106 • No 4 • April 2006 • 193
  • 2. ORIGINAL CONTRIBUTION protected through all phases of this investigation. In addition, Results the protocol described was reviewed and approved by During the study period, 1072 women delivered infants at the institutional review board at the OSU Center for Health the three study sites. Of these 1072 potential subjects, 217 (20%) Sciences. women had patient records in which none of the variables noted was missing from their patient records. Statistical Analysis Of the 217 women whose records contained a patient- Patient data were systematically recorded by one investigator completed EPDS, 7 (3.2%) were eliminated from the study (S.B.M.S.) and a medical student for analysis on a spreadsheet because their lists of current medications included an antide- (Microsoft Excel 2003; Microsoft Corp, Redmond, Wash). pressant. One potential subject was excluded because her After appropriate study subjects were identified, investi- infant was stillborn. gators masked the identity of the patients, concealing patient Of the 209 women remaining in the study population names and assigning a random number that was used as an after inclusion and exclusion criteria were applied, 128 (61%) identifier. The master list that contained the name-number had an EPDS score of 12 or below (ie, not depressed), and conversions was destroyed at the project’s close. All data pro- 81 (39%) had a score of 13 or higher (ie, depressed). vided in the present study are reported as mean scores of all Among the 81 women whose EPDS results indicated a study participants. possible diagnosis of PPD, there was no significant difference Patient characteristics were analyzed individually against by patient age or marital status at 4-weeks postnatal (Table). EPDS scores with ␹2 tests. Possible patient scores for the 10- Breastfeeding was associated with a significantly lower question EPDS can range from 0 to 30. Test sensitivity and occurrence of PPD than formula feeding only (PϽ.001). The specificity for the EPDS are reported at 86% and 78%, respec- relative risk factor for formula feeding only was 2.04 (PϽ.05). tively.5 Cox et al,5 the instrument’s developers, recommend that There was a significant difference in the occurrence of patients with EPDS scores higher than 12 receive a clinical PPD between women who had a history of depression noted evaluation for diagnosis of PPD. in their records and those without a history of depression Australian investigators in a 1993 study8 (N=103) reported (P=.003). The relative risk factor for women with a history of even better results for the sensitivity (100%) and speci- depression was 1.87 (PϽ.05). ficity (95.7%) of the EPDS when using the developers’ recom- Cigarette smoking was associated with a significantly mended 12- or 13-point cutoff for a diagnosis of probable PPD. higher occurrence of PPD than was not smoking (P=.01). The Although the 1993 article by Boyce and colleagues8 had a relative risk factor for cigarette smoking was 1.58 (PϽ.05). sample population from Australia and New Zealand, and Vaginal birth was not associated with a significantly their results, therefore, perhaps cannot be applied to the pre- lower occurrence of a positive screen for PPD than cesarean sent study, we believe that the sensitivity and specificity values section (P=.09). reported by the instrument’s developers5 may be conservative. Three combinations of patient characteristics were found In light of the long-term reliable performance of the to have additive effects on the likelihood of subjects receiving EPDS,4,5,8,10,11 we decided to label subjects as either “depressed” an EPDS score that was predictive of PPD: or “not depressed” based on EPDS scores alone, with a score of ▫ not breastfeeding and a history of depression (P=.12), 13 on the EPDS indicating probable PPD. ▫ cigarette smoking and a history of depression (P=.29), and We are aware that several other instruments may be used ▫ cigarette smoking and not breastfeeding (P=.96). by clinicians to diagnose PPD more definitively than the EPDS10 (eg, Beck Depression Inventory,12–14 Center for Epi- Comment demiologic Studies Depression Scale,15 Zung’s Self-rating We acknowledge the limitations of a study based, as ours is, Depression Scale,16 Hamilton Rating Scale for Depression17). on convenience sampling. However, we are persuaded that the Physicians in the OSU Physician clinic system use the EPDS for statistical findings we have reported have merit because they convenience (ie, it is reliable, easy to score, and highly predic- tend to support the findings in numerous randomized tive). Therefore, the EPDS provided the only standardized data studies,7,10,18–29 as noted elsewhere. related to PPD available in patient records for our retrospective Although PPD affects approximately 13% of women who investigation. give birth,2 a disproportionately high number of women (81 We calculated the relative risk for each statistically sig- [39%]) in this patient sample had EPDS scores that indicated nificant risk factor. Significant risk factors were then analyzed possible diagnosis for PPD. Because universal screening for using log-linear models, or multidimensional ␹2 tests. We deter- PPD at 4-weeks postnatal was not in effect at the three study mined that P values at the level of р.05 would be considered sites during the study period, our study may have been affected statistically significant. Small P values (ie, Ͻ.05) were consid- by referral bias. Physicians may have been more likely to ered to indicate a lack of additivity—or to indicate a lack of ask patients with signs and symptoms of depression to independence of these factors as they affect PPD. Conversely, take the EPDS. nonsignificant P values indicated some degree of additivity. A second contributing factor to the disparity between 194 • JAOA • Vol 106 • No 4 • April 2006 McCoy et al • Original Contribution
  • 3. ORIGINAL CONTRIBUTION Editor’s message: In the original Table print publication, the Yes and No Postpartum Depression by Patient Characteristic: column headings under “EPDS Score, у13” were accidentally Results of ␹2 Test Analysis (N=209)* reversed. The error has been cor- rected here. EPDS Score, у13 Characteristic n Yes No P Ⅲ Age .57 ▫ Ͻ21 y 72 26 (36) 46 (64) ▫ у21 y 137 55 (40) 82 (60) Ⅲ Breastfeeding Ͻ.001 ▫ Yes 70 16 (23) 54 (77) ▫ No 139 65 (47) 74 (53) Ⅲ Married .28 ▫ Yes 64 21 (33) 43 (67) ▫ No 145 60 (41) 85 (59) Ⅲ History of depression .003 ▫ Yes 26 17 (65) 9 (35) ▫ No 183 64 (35) 119 (65) Ⅲ Cigarette smoker .01 ▫ Yes 59 31 (53) 28 (47) ▫ No 150 50 (33) 100 (67) Ⅲ Method of delivery .09 ▫ Vaginal birth 163 58 (36) 105 (64) ▫ Cesarean section 46 23 (50) 23 (50) * Data are reported as No. (%) unless otherwise specified. EPDS indicates Edinburgh Postnatal Depression Scale.5 For the purposes of this study, investigators divided subject records into two categories. Subjects with EPDS scores of 12 or lower were labeled “not depressed”; subjects with EPDS scores of 13 or higher were labeled “depressed.” this study group’s incidence of PPD and incidence levels EPDS in a study of 306 women, treating age as a continuum, reported elsewhere8,10,30,28 may be that the population served rather than dividing the women into two or more distinct by the three study sites is mostly poor and/or indigent. Poverty groups by age. The age of the mother was one of several inde- is a risk factor for PPD and is associated with more than twice pendent variables associated with PPD, including poverty, the documented rate of occurrence of PPD.31 Morris-Rush and previous mental disturbance, use of anesthesia during birth, coauthors4 studied two inner city practices in New York and and family dysfunction. found that 22% of patients who took the EPDS had results Although our results disagreed with those of Chen9 and that were positive for PPD. Sierra Manzano et al,32 one possible reason for the discrep- Having a sample of patients whose incidence of PPD ancy could relate to cultural factors or societal views of young approached the known incidence of PPD across the general mothers. In our sample, most of the women were from dis- population was not germane to the primary objective of our advantaged socioeconomic backgrounds. study, however. We suggest that having more women with possible PPD in our sample group does not significantly alter Breastfeeding Status the results of the statistical tests that look for associations Misri and colleagues18 observed an association between patients between PPD and the patient characteristics studied. with PPD and cessation of breastfeeding. However, in that retrospective study18 (N=51), 83% of patients claimed that the Review of the Literature and Research Synthesis symptoms of PPD began before the cessation of breastfeeding. Age Fergerson and coauthors7 reported that a failed attempt at Chen9 and Sierra Manzano and colleagues32 found a higher breastfeeding or early cessation of breastfeeding was found to incidence of PPD in teenage or adolescent mothers than in be significantly associated with higher patient scores on the older mothers. Sierra Manzano and coinvestigators32 used the EPDS (N=72). Abou-Saleh and colleagues19 reported that McCoy et al • Original Contribution JAOA • Vol 106 • No 4 • April 2006 • 195
  • 4. ORIGINAL CONTRIBUTION women who breastfed their infants had significantly lower of alcohol, illegal drugs, and cigarettes.36 The authors of that scores than their nonlactating counterparts on the EPDS as study36 suggested that the stresses of adolescent parenthood well as on a standard measure of anxiety, the Present State predisposed young mothers to PPD, and the use of these sub- Examination.33 Our findings strongly support the results of stances were likely coping mechanisms or attempts to self- these earlier studies.7,18,19 medicate. Our findings, regarding the incidence of PPD as Additional support for the association of breastfeeding measured through the EPDS in association with tobacco use, with a lower incidence of PPD is provided by Labbok,20 who support the assertions of Barnet et al.36 observed that, in countries where exclusive breastfeeding is the norm, incidence of PPD peaks at around 9-months postpartum; Method of Delivery: Vaginal Birth vs Cesarean Section whereas, in countries where formula feeding is the norm, the The National Center for Health Statistics reports that the per- incidence of PPD peaks at 3-months postpartum.20 If research centage of US births delivered by cesarean section in 2003 was could demonstrate conclusively that women who breastfeed 27.5%, the highest level ever recorded in this country.28 Ascer- are less likely to experience PPD, those data might provide taining whether this method of delivery is significantly asso- additional motivation for women to choose breastfeeding over ciated with incidence of PPD could be a valuable tool in formula feeding for their infants. assisting clinicians identify a large (and growing) number of at-risk women. Marital Status Bergant and coauthors29 report that cesarean section Some studies10,21,30 have reported that unmarried women are was one of several variables considered to be a significant more likely than their married counterparts to have PPD. In a risk factor for patients with “early postpartal depressive 1990 study of 69 white women recruited from Lamaze classes disorder” at 5 days after childbirth. Fisher and colleagues37 and obstetricians’ offices, Pfost and colleagues21 found that reported that cesarean section was associated with increased marital status was a significant predictor of PPD. The strength risk to patients of PPD at 5-weeks postpartum in nulliparous of this correlation was second only to that of preexisting depres- women. sion.30 A 1995 Chilean study of 542 women found that single Our results tend to support those of the two previous mothers (defined by researchers as unmarried, separated, or investigations.29,37 Although our results did not achieve a level widowed) were twice as likely to have PPD as their married of statistical significance (PϽ.1), a trend can be described in counterparts.30 Finally, a meta-analysis in 2001 of 84 studies which 36% of subjects who delivered vaginally had EPDS found marital status to be a small but significant predictor of scores indicating possible PPD at 4-weeks postnatal vs 50% of PPD (confidence interval, 0.21–0.35).10 subjects who underwent cesarean sections for delivery. We Our results disagreed with those of Pfost et al,21 Jadresic recommend additional research on the relationship between et al,31 and Beck.10 One possible explanation is that both Pfost method of delivery and PPD. et al21 and Beck10 did their analyses on data obtained in the 1980s, a time when societal acceptance of unmarried mothers Additivity in the United States may not have been as widespread as it is To determine whether multiple significant risk factors enhanced today.22,25 Furthermore, as noted, the research published by clinicians’ abilities to identify women at increased risk of PPD, Jadresic et al30 was conducted in Chile, which may have a dif- we assessed additivity of patient characteristics. ferent set of cultural values than the United States. As noted elsewhere, we identified three significant risk fac- tors: formula feeding in place of breastfeeding, history of History of Depression depression, and cigarette smoking. None of the three possible The meta-analysis by Beck10 found strong evidence that combinations of these risk factors were significantly nonaddi- history of depression is a moderate predictor of PPD (confi- tive. In other words, all three possible combinations may be dence interval 0.38–0.39). O’Hara and Swain2 found that somewhat additive. prenatal depression, in particular, was a strong predictor of However, the association between increased incidence PPD (d=0.75), as did Pfost et al.21 Both studies2,21 replicated the of PPD and the combination of formula feeding in place of results of earlier work,24–26,34,35 and our results strongly concur. breastfeeding and prior history of depression was weakest (ie, closest to significantly nonadditive). Therefore, based on the Tobacco Use: Cigarette Smoking data reported, additivity between formula feeding only Cigarette smoking is more common in patients with depres- and prior history of depression is least convincing. sion than in people in the general population.23 Furthermore, Formula feeding and cigarette smoking were the most cigarette smoking has been found to be a valuable predictor of additive, but cigarette smoking and history of depression substance use (eg, illegal drugs and alcohol), which is also were also additive. In other words, a patient with two associated with increased risk of moderate and severe depres- of these risk factors is even more likely to suffer from sion.27 In addition, a survey of primiparous adolescents found PPD than ifshe had any one of these three risk factors significant statistical associations between PPD and the use alone. Confirmation of these relationships with further 196 • JAOA • Vol 106 • No 4 • April 2006 McCoy et al • Original Contribution
  • 5. ORIGINAL CONTRIBUTION research could supply physicians with valuable information for educating and evaluating their patients for PPD. 12. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry. 1961;4:561–571. Conclusion 13. Beck AT, Rial WY, Rickels K. Short form of depression inventory: cross-val- It is our hope that researchers will assist clinicians in identifying idation. Psychol Rep. 1974;34:1184–1186. the conditions and patient characteristics of postpartum women that are associated with an increased risk of PPD. Researchers 14. Beck AT, Steer RA. Internal consistencies of the original and revised Beck Depression Inventory. J Clin Psychol. 1984;40:1365–1367. may then develop reliable screening tests that predate the onset of postpartum dysphoria. 15. Radloff LS. The CES-D Scale: a self-report depression scale for research in We recommend that physicians inquire about breast- the general population. Appl Psychol Meas. 1977;1:385–401. Available at: feeding status, history of depression, and tobacco use among http://www.intelihealth.com/IH/ihtIH/WSIHW000/8596/9025/197543.html?d=dm tMHSurvey&screen=2. Accessed March 29, 2006. their postpartum patients. Three risk factors for PPD may serve as valuable “red flags” to assist physicians in diagnosing 16. Zung WW. A self-rating depression scale. Arch Gen Psychiatry. patients with PPD: formula feeding in place of breastfeeding, 1965;12:63–70. history of depression, and cigarette smoking. The presence of more than one of these risk factors in postpartum patients 17. Hamilton M. A rating scale for depression. J Neurol Neursurg Psychi- atry. 1960;23:56–62. should serve as an even greater warning to physicians that these patients should be observed, evaluated for, and edu- 18. Misri S, Sinclair D, Kuan A. Breast-feeding and postpartum depression: is cated about PPD. As more women with PPD are diagnosed there a relationship? Can J Psychiatry. 1997;42:1061–1065. earlier as a result of such precautions, it is our hope that the suf- fering of both mother and infant can be reduced. 19. Abou-Saleh MT, Ghubash R, Karim L, Krymski M, Bhai I. Hormonal aspects of postpartum depression. Psychoneuroendocrinology. 1998;23:465–475. References 20. Labbok MH. Effects of breastfeeding on the mother [review]. Pediatr Clin North Am. 2001;48:143–158. 1. Kumar RC. “Anybody’s child”: severe disorders of mother-to-infant bonding. Br J Psychiatry. 1997;171:175–181. 21. Pfost KS, Stevens MJ, Lum CU. The relationship of demographic vari- ables, antepartum depression, and stress to postpartum depression. J Clin Psy- 2. O’Hara MW, Swain AM. Rates and risk of postpartum depression—a meta- chol. 1990;46:588–592. analysis. Int Rev Psychiatry. 1996;8:37–54. 22. Foster HW Jr, Bond T, Ivery DG, Treasure OA, Smith D, Sarma RP, et al. 3. Georgiopoulos AM, Bryan TL, Wollan P, Yawn BP. Routine screening for Threatened pregnancy: Environment and reproduction at risk. Teen pregnancy- postpartum depression [published correction appears in J Fam Pract. problems and approaches: panel presentations. Am J Obstet Gynecol. 2001;50:470]. J Fam Pract. 2001;50:117–122. 1999;181:S32–S36. 4. Morris-Rush JK, Freda MC, Bernstein PS. Screening for postpartum depres- 23. Anda R, Williamson D, Jones D, Macera C, Eaker E, Glassman A, et al. sion in an inner-city population. Am J Obstet Gynecol. 2003;188:1217–1219. Depressed affect, hopelessness, and the risk of ischemic heart disease in a cohort of US adults. Epidemiology. 1993;4:285–294. 5. Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Devel- opment of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry. 24. Cutrona CE, Troutman BR. Social support, infant temperament, and par- 1987;150;782–786. enting self-efficacy: a meditational model of postpartum depression. Child Dev. 1986;57:1507–1518. 6. Epperson CN. Postpartum major depression: detection and treatment [review]. Am Fam Physician. 1999;59:2247–2254,2259–2260. Available at: 25. O’Hara MW, Neunaber DJ, Zekoski EM. Prospective study of postpartum http://www.aafp.org/afp/990415ap/2247.html. Accessed March 13, 2006. depression: prevalence, course, and predictive factors. J Abnorm Psychol. 1984;93:158–171. 7. Fergerson SS, Jamieson DJ, Lindsay M. Diagnosing postpartum depres- sion: can we do better? Am J Obstet Gynecol. 2002;186:899–902. 26. O’Hara MW, Rehm LP, Campbell SB. Predicting depressive symptoma- tology: cognitive-behavioral models and postpartum depression. J Abnorm 8. Boyce P, Stubbs J, Todd A. The Edinburgh Postnatal Depression Scale: val- Psychol. 1982;91:457–461. idation for an Australian sample. Aust N Z J Psychiatry. 1993;27:472–476. 27. Chasnoff IJ, Neuman K, Thornton C, Callaghan MA. Screening for sub- 9. Chen CH. Postpartum depression among adolescent mothers and adult stance use in pregnancy: a practical approach for the primary care physician. mothers. Kaohsiung J Med Sci. 1996;12:104–113. Am J Obstet Gynecol. 2001;184:752–758. 10. Beck CT. Predictors of postpartum depression: an update. Nurs Res. 28. National Center for Health Statistics. Births—Method of Delivery [Fast Stats 2001;50:275–285. Web site]. November 14, 2005. Available at: http://www.cdc.gov/nchs/fas- tats/delivery.htm. Accessed March 13, 2006. 11. Georgiopoulos AM, Bryan TL, Yawn BP, Houston MS, Rummans TA, Therneau TM. Population-based screening for postpartum depression. Obstet Gynecol. 1999;93(5 Pt 1):653–657. (continued) McCoy et al • Original Contribution JAOA • Vol 106 • No 4 • April 2006 • 197
  • 6. ORIGINAL CONTRIBUTION 29. Bergant A, Nguyen T, Moser R, Ulmer H. Prevalence of depressive disorders 34. Pfost KS, Lum CU, Stevens MJ. Femininity and work plans protect women in early puerperium [in German]. Gynakol Geburtshilfliche Rundsch. against postpartum dysphorias. Sex Roles. 1989;21:423–431. 1998;38:232–237. 35. Whiffen VE. Vulnerability to postpartum depression: a prospective mul- 30. Jadresic E, Araya R. Prevalence of postpartum depression and associ- tivariate study. J Abnorm Psychol. 1988;97:467–474. ated factors in Santiago, Chile [in Spanish]. Rev Med Chil. 1995;123:694–699. 36. Barnet B, Duggan AK, Wilson MD, Joffe A. Association between post- 31. Hobfoll SE, Ritter C, Lavin J, Hulsizer MR, Cameron RP. Depression preva- partum substance use and depressive symptoms, stress, and social support in lence and incidence among inner-city pregnant and postpartum women. adolescent mothers. Pediatrics. 1995;96(4 Pt 1):659–666. J Consult Clin Psychol. 1995;63:445–453. 37. Fisher J, Astbury J, Smith A. Adverse psychological impact of operative 32. Sierra Manzano JM, Carro Garcia T, Ladron Moreno E. Variables associ- obstetric interventions: a prospective longitudinal study. Aust N Z J Psychiatry. ated with the risk of postpartum depression. Edinburgh Postnatal Depression 1997;31:728–738. Scale [in Spanish]. Aten Primaria. 2002;30:103–111. Available at: http://db.doyma.es/cgi-bin/wdbcgi.exe/doyma/mrevista.pubmed_full? inctrl=05ZI0105&rev=27&vol=30&num=2&pag=103. Accessed March 13, 2006. 33. Wing JK, Cooper JE, Sartorius N. Measurement and Classification of Psy- chiatric Symptoms: An Instruction Manual for the PSE and Catego Program. Cambridge, England: Cambridge University Press; 1974. 198 • JAOA • Vol 106 • No 4 • April 2006 McCoy et al • Original Contribution