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Obstetrics & Gynecology 2002;100:297-304
© 2002 by The American College of Obstetricians and Gynecologists
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ORIGINAL RESEARCH

Psychiatric and Substance Use Disorders as Risk Factors for Low Birth Weight and Preterm Delivery

Rosemary H. Kelly, MD, Joan Russo, PhD, Victoria L. Holt, PhD, MPH, Beate H. Danielsen, PhD, Douglas F. Zatzick, MD, Edward Walker, MD and Wayne Katon, MD

From the Departments of Psychiatry, Epidemiology, and Obstetrics, University of Washington, Seattle, Washington; and Health Information Solutions, Menlo Park, California.

Address reprint requests to: Rosemary H. Kelly, MD, Department of Psychiatry and Behavioral Sciences, University of Washington Medical Center, Box 356560, 1959 NE Pacific Street, Seattle, WA 98195-6560; E-mail: rhkelly{at}u.washington.edu.


    ABSTRACT
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
OBJECTIVE: We examined the associations between psychiatric and substance use diagnoses and low birth weight (LBW), very low birth weight (VLBW), and preterm delivery among all women delivering in California hospitals during 1995.

METHODS: This population-based retrospective cohort analysis used linked hospital discharge and birth certificate data for 521,490 deliveries. Logistic regression analyses were conducted to assess the associations between maternal psychiatric and substance use hospital discharge diagnoses and LBW, VLBW, and preterm delivery while controlling for maternal demographic and medical characteristics.

RESULTS: Women with psychiatric diagnoses had a significantly higher risk of LBW (adjusted odds ratio [OR] 2.0; 95% confidence interval [CI] 1.7, 2.3), VLBW (OR 2.9; 95% CI 2.1, 3.9), and preterm delivery (OR 1.6; 95% CI 1.4, 1.9) compared with women without those diagnoses. Substance use diagnoses were also associated with higher risk of LBW (OR 3.7; 95% CI 3.4, 4.0), VLBW (OR 2.8; 95% CI 2.3, 3.3), and preterm delivery (OR 2.4; 95% CI 2.3, 2.6).

CONCLUSION: Maternal psychiatric and substance use diagnoses were independently associated with low birth weight and preterm delivery in the population of women delivering in California in 1995. Identifying pregnant women with current psychiatric disorders and increased monitoring for preterm and low birth weight delivery among this population may be indicated.

Approximately 11.6% of the 3.9 million infants delivered in the United States each year are preterm (< 37 weeks’ gestation), and 7.6% have low birth weight (< 2500 g).1 Because these adverse pregnancy outcomes constitute the leading causes of infant mortality and long-term childhood morbidity, public health efforts targeting identification of risk factors and intervention have been initiated.2–7

Prior studies have identified numerous sociodemographic and medical risk factors for these poor pregnancy outcomes, including nonwhite ethnicity, single marital status, parity, inadequate prenatal care, and preeclamp-sia.1,8–12 However, obstetric risk assessments predict only about half to two thirds of all adverse pregnancy outcomes,13 and the etiology of the majority of preterm births remains unexplained.12

Psychiatric disorders are prevalent among pregnant women. For instance, clinical and community-based studies reported that 9%–21% of pregnant women meet criteria for a depressive disorder,14–18 and 10%–20% suffer from substance abuse or dependence during pregnancy.19–21 Although recent research suggests that maternal depressive and anxiety symptoms and psychosocial stress during pregnancy are associated with low birth weight and preterm delivery,10, 22–29 few large-scale population-based investigations have examined maternal psychiatric disorders or diagnoses as predictors of these poor pregnancy outcomes. In addition, although population and community-based investigations have found that substance use disorders are associated with poor pregnancy outcomes,30–32 those studies did not comprehensively assess nonsubstance-related psychiatric disorders or dual diagnoses as independent risk factors.

The purpose of this study was to examine the associations between documented psychiatric, substance use, and dual diagnoses and low birth weight, very low birth weight, and preterm deliveries among women who delivered in California hospitals in 1995, while controlling for the potential confounding effects of established maternal demographic and medical risk factors. This study is unique in that it uses data from a large population of ethnically diverse pregnant women, examines psychiatric diagnoses rather than psychiatric symptoms or stress as a predictor of low birth weight and preterm delivery, and assesses the impact of comorbid psychiatric and substance use diagnoses on these obstetric outcomes.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
We conducted a population-based, retrospective cohort analysis using data from the California Health Information for Policy Project data set. This data set links California vital statistics birth and infant death records (maintained by the California Department of Health Services) with California maternal and infant hospital discharge records (maintained by the California Office of Statewide Health Planning and Development); 98% of births in hospitals that report to them are linked successfully.33 Excluded are births in military hospitals, at home, in small birthing centers that do not report to the Office of Statewide Health Planning and Development, or in unknown or out-of-state facilities. If these births are included in the linkage percentage calculation, approximately 95% of all 1995 births in California are linked. The discharge files provide up to 25 International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) discharge diagnostic codes and 21 ICD-9-CM procedure codes for each hospital discharge. The study protocol was approved by the University of Washington’s Human Subjects Committee and the California Office of Statewide Health Planning and Development and Department of Health Services. Upon approval, an authorized version of the data set on CD-ROM was released to our research group, which excluded maternal and infant identifiers (social security numbers, birth dates, and zip codes). The data file was stored on a password-protected computer accessible only to the principal investigator (RHK).

Our study cohort included all women (N = 521,490) who gave birth to live-born singleton infants in California civilian hospitals reporting to the Office of Statewide Health Planning and Development in 1995 and their infants. Excluded were women with multiple gestation.

Psychiatric and substance use diagnoses were determined by ICD-9-CM diagnostic codes recorded on the maternal hospital discharge summary (a more complete discussion of diagnostic categories has been described previously).34 Diagnoses recorded either during a prenatal or delivery hospitalization were included. We categorized women into one of the following four predictor categories: (1) psychiatric diagnosis without substance use diagnosis, (2) substance use diagnosis without psychiatric diagnosis, (3) dual diagnosis (both psychiatric and substance use diagnoses), and (4) no psychiatric or substance use diagnosis. Psychiatric diagnoses included mood disorders, schizophrenia and other psychotic disorders, anxiety disorders, and somatoform, factitious, dissociative, sexual or gender identity, eating, sleep, impulse control, and adjustment disorders. In addition, women with the generic obstetric diagnosis of mental disorder of pregnancy (ICD-9 648.4) were included in the psychiatric diagnosis category. Substance use disorders included all ICD-9-CM substance-related disorders and the obstetrical diagnostic category substance use disorder of pregnancy (ICD-9 648.3). The following disorders were excluded: disorders of childhood, delirium, dementia, other cognitive disorders, diagnoses due to a general medical condition, and personality disorders.

Maternal age, ethnicity, insurance, education, marital status, parity, and adequacy of prenatal care were determined from the birth record data file. The insurance category Medi-Cal included Medi-Cal (California’s Medicaid program), Medicare, and other government programs. Outpatient prenatal care utilization was categorized from birth certificate data using the Kotelchuck Adequacy of Prenatal Care Utilization Index.35 "Inadequate" prenatal care is defined as initiation of prenatal care after month 4 of pregnancy or less than 50% of recommended visits were completed. "Intermediate," "Adequate," and "Adequate Plus" are defined as care initiated by the fourth month of pregnancy, and 50%–79%, 80%–109%, or 110% or more, respectively, of recommended visits were completed. Maternal diabetes (gestational and established) and hypertension (preexisting, eclampsia, and preeclampsia) were determined by ICD-9-CM diagnostic codes in the hospital discharge file.

Birth weight was obtained from infant birth records. For 54 women, birth weight data were missing for their infants. Consistent with prior reports,1,9 we categorized birth weight less than 1500 g as very low birth weight (VLBW), less than 2500 g as low birth weight (LBW), and 2500 grams or more as normal birth weight. Preterm delivery was defined as infant gestational age less than 37 weeks1 as recorded on the birth certificate. For 18,012 (3.4%) of births, gestational age data were missing or recorded as over 900 days.

Demographic and outcome differences among the cohorts were assessed using {chi}2 tests, with P < .05 denoting statistically significant differences. Multivariable logistic regression was used to examine the independent association between diagnostic category and each outcome while adjusting for confounding factors. Three logistic regression models were constructed, one for each study outcome (LBW, VLBW, and preterm delivery). Each model had four exposure levels (psychiatric diagnosis, substance use diagnosis, psychiatric and substance use diagnoses, and the reference category of no psychiatric or substance use diagnosis). A covariate was considered a confounder if it changed the unadjusted odds ratio (OR) between diagnostic category and outcome by 10%.36 The following ten covariates were examined as potential confounders: maternal age, maternal ethnicity, insurance, marital status, education, parity, adequacy of prenatal care, gestational diabetes, preexisting diabetes, and hypertension. The following variables met the criteria for confounders: ethnicity, marital status, and adequacy of prenatal care. As an alternative, each model was also run including all ten covariates as potential confounders. Adjusted ORs and 95% confidence intervals (CI) for each study outcome were calculated. The statistical software package SPSS 10.0 (SPSS Inc., Chicago, IL) was used for all data analyses.37

We tested for effect modification between maternal demographic factors (age, ethnicity, insurance source, education, and marital status) and diagnostic category, and no covariates met criteria for effect modification.

We were unable to verify that psychiatric and substance use diagnoses documented at delivery were preexisting or preceded pregnancy outcome. Thus, in one subanalysis we examined the adjusted risk of VLBW, LBW, and preterm delivery among women with diagnoses documented during a prenatal hospitalization (n = 2020) relative to women without diagnoses, excluding women who were diagnosed only at delivery (n = 12,443).


    RESULTS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The distribution of the sample by diagnostic category is shown in Table 1Go. Overall, 14,463 (2.8%) women had a documented psychiatric or substance use diagnosis; 1856 (0.4%) women had a psychiatric diagnosis, 5519 (1.0%) had a substance use diagnosis, and 7088 (1.4%) had a dual diagnosis. Women with psychiatric or substance use diagnoses or both were significantly more likely than the reference group to be black or white, insured by Medi-Cal, single, and to have had more than three prior deliveries, and inadequate prenatal care (Table 1Go). Of the 14,463 women with diagnoses, 13,279 (92%) were documented at delivery hospitalization, 2020 (14%) were documented during a prenatal hospitalization, and 836 (6%) had both a prenatal and a delivery diagnosis documented.


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Table 1. Prenatal and Demographic Characteristics of 521,490 Women Who Delivered in California Hospitals in 1995 by Diagnostic Category
 
Table 2Go presents the frequency of VLBW, LBW, and preterm delivery by diagnostic category. A higher percentage of women with psychiatric, substance use, or both diagnoses delivered VLBW and LBW infants compared with the reference group (Table 2Go). Psychiatric diagnoses were associated with a 154-g lower mean infant birth weight, substance use diagnoses with a 355-g decrease, and dual diagnoses with a 272-g decrease compared with mean birth weight in the reference group. In addition, a higher percentage of women with psychiatric and/or substance use diagnoses delivered a preterm infant.


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Table 2. Pregnancy Outcomes Among 521,490 Women With Psychiatric, Substance Use, Dual, and No Diagnoses Delivering in California in 1995
 
In multivariable models that adjusted for confounding variables, women with psychiatric, substance use, and dual diagnoses had significantly higher risk of delivering LBW, VLBW, and preterm infants than women with no psychiatric or substance use diagnoses (Table 3Go). The nearly three-fold higher risk of delivering a VLBW infant among women with psychiatric diagnoses (OR 2.9; 95% CI 2.1, 3.9) was essentially equal to the risk of VLBW among women with substance use diagnoses (OR 2.8; 95% CI 2.3, 3.3). Other predictors with risk elevations comparable to psychiatric and substance use diagnoses included black race, inadequate prenatal care, and adequate plus prenatal care (which most likely indicates that women with high-risk pregnancies had more prenatal care utilization) (Table 3Go). When we used less stringent criteria for confounding and adjusted for all ten covariates in the logistic regression models, the adjusted OR and 95% CI remained essentially unchanged for all diagnostic categories. In addition, to control for a history of preterm delivery as a possible confounder of our findings, we reran the regression models on nulliparous women only (n = 206,365 or 40% of the population) and found similar results.


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Table 3. Logistic Regression: Adjusted Odds Ratios for Poor Obstetric Outcomes Among 521,490 Women with Psychiatric, Substance Use, or Dual Diagnoses Who Delivered in California in 1995
 
In subanalyses that adjusted for all ten covariates, we excluded women with diagnoses documented only at the delivery hospitalization (n = 12,443). Compared with women with no prenatal or delivery diagnoses, women with prenatal psychiatric diagnoses (n = 712) had significantly higher risk of LBW (adjusted OR 1.8, 95% CI 1.4, 2.4), VLBW (adjusted OR 2.7; 95% CI 1.7, 4.4), or preterm delivery (adjusted OR 1.4; 95% CI 1.1, 1.8), risks similar in magnitude to those including women diagnosed only at delivery (Table 3Go). Likewise, limiting the analysis to prenatal substance use diagnoses (n = 697) relative to the reference group, this group had a significantly higher risk of LBW (adjusted OR 4.6; 95% CI 3.8, 5.6), VLBW (adjusted OR 4.0; 95% CI 2.7, 6.0), and preterm delivery (adjusted OR 2.2; 95% CI 1.8, 2.8). Compared with women with no diagnoses, women with prenatal dual diagnoses (n = 611) had a substantially higher risk of LBW (adjusted OR 5.5; 95% CI 4.5, 6.9), VLBW (adjusted OR 5.9; 95% CI 4.1, 8.4), and preterm delivery (adjusted OR 3.4; 95% CI 2.8, 4.2).


    DISCUSSION
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The current study of hospitalization data for the population of pregnant women delivering in California in 1995 found that women with documented psychiatric, substance use, or both diagnoses had a significantly higher risk of delivering VLBW, LBW, and preterm infants relative to women without these diagnoses. Psychiatric, substance abuse, and dual diagnoses remained independent risk factors for these adverse pregnancy outcomes in analyses that adjusted for the effects of known sociodemographic and medical risk factors.

Furthermore, the risk of VLBW delivery was equal in magnitude among women with psychiatric and substance use diagnoses. Although maternal substance abuse is a well-established risk factor for low birth weight,30–32 our study suggests that psychiatric disorders may be equally as important when considering the risk of VLBW delivery.

Our risk estimates are corroborated by those of smaller prospective studies. For example, among lower-income women with less education, a high level of depressive symptoms was associated with a 100–150-g lower infant birth weight.28 Also, among a cohort of pregnant inner city women, depressive symptoms were associated with a four-fold higher risk of LBW, and a 3.4-fold increased risk of preterm delivery.25 Given that the latter study involved a high-risk homogenous sample, it is not surprising that the adjusted risks are somewhat higher than those we found. Kaye et al31 reported that infants of drug abusing women weighed an average of 423 g less than controls, an effect similar in magnitude to our results.

Our findings underscore the importance of improved detection of psychiatric and substance use disorders in the obstetric sector. Once identified, increased monitoring for preterm and LBW delivery among women with psychiatric and substance use disorders could enhance timely interventions and improve birth outcomes. Furthermore, clinical research into the development and impact of interventions targeting women with antenatal psychiatric disorders is necessary.

There are several considerations in interpreting the results of this study. For psychiatric and substance use diagnoses documented only at the time of hospital delivery, we were unable to confirm that the disorders preceded outcome ascertainment. It is possible that obstetric providers were more likely to diagnose psychiatric conditions at delivery among women with LBW or preterm delivery, or that psychiatric disorders developed in response to these outcomes. However, when we limited our analyses to women with documented prenatal diagnoses (ie, diagnosis recorded before outcome ascertainment), significant positive associations between psychiatric, substance use, and dual diagnoses and LBW, VLBW, and preterm delivery remained.

We were unable to validate diagnoses or obstetric outcomes by structured clinical interviews, other validated instruments, or chart review. An additional concern is that only 2.8% of women delivering had a documented psychiatric or substance use diagnosis, whereas prior community-based studies documented rates of 9%–21% for depression alone. Psychiatric and substance use diagnoses have been shown to be significantly under-recorded in the California hospital discharge data file,38 as well as significantly underdetected and undertreated in obstetric practices.14,18,20 However, in the current study, the inclusion of psychiatric and substance use disorders in the reference group would have underestimated the strength of the true association between these disorders and LBW and preterm delivery; thus, the risk estimates reported may be conservative.

A potential limitation of this investigation is that unmeasured confounders could have biased our risk estimates. Although we were unable to control for maternal smoking, as previously discussed, our risk estimates are corroborated by smaller prospective studies that controlled for maternal smoking.25,26,28 Furthermore, among women with psychiatric disorders, smoking might be a mediator of poor pregnancy outcome,39–41 occurring along the causal pathway, rather than a confounder of the relationship between psychiatric illness and poor outcome. Although we controlled for the most prevalent maternal medical risk factors in pregnancy (diabetes and hypertension),1 we were unable to control for other factors, such as prior obstetric complications, infection, poor nutrition, or medication exposure. However, our analyses did adjust for high numbers of prenatal care visits, which most likely indicated medically high-risk pregnancies.

Several potential mechanisms might explain a positive association between maternal psychiatric disturbance and LBW and preterm delivery.22,23,42 Indirect mechanisms might mediate the effect of psychiatric disorders on these adverse outcomes. For example, women with psychiatric and substance use disorders might be more likely to engage in poor health behaviors, such as inadequate diet, poor weight gain, or smoking,10,39–41,43 or might be less likely to receive adequate prenatal care.34 Among high-risk populations such as homeless women, a psychiatric history is associated with more severe and longstanding homelessness, which in turn is a strong predictor of preterm and LBW delivery.44 In addition, research suggests that maternal stress and depression directly affect neuroendocrine parameters,42,45–47 uterine blood flow and contractility,5,48,49 and other physiologic responses that might play a role in preterm labor,48 newborn neurobehavioral function,50 and other poor pregnancy outcomes.


    Footnotes
 
This research was supported by the National Institute of Mental Health (NIMH) National Research Service Awards F32-MH11892-01 (RHK) and T32-MH20021-03 (WK), and the Van Ameringen Foundation American Psychiatric Association Health Services Research Scholars Award #126421 (RHK).

PII S0029-7844(02)02014-8

Received September 27, 2001. Received in revised form February 11, 2002. Accepted March 7, 2002.


    REFERENCES
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
1. Ventura S, Martin J, Curtin S, Mathews T, Park M. Births: Final data for 1998. National Vital Statistics Reports 2000;48(3).

2. Kramer M, Platt R, Yang H, Joseph KS, Wen SW, Morein L, et al. Secular trends in preterm birth; A hospital-based cohort study. JAMA 1998;280:1849–54.[Abstract/Free Full Text]

3. Institute of Medicine. Preventing low birth-weight. Washington, DC: National Academy Press, 1985.

4. McCormick M. The contribution of low birth weight to infant mortality and childhood morbidity. New Engl J Med 1985;312:82–90.[Abstract]

5. McAnarney E, Stevens-Simon C. Maternal psychological stress/depression and low birth weight: Is there a relationship? Am J Dis Child 1990;144:789–92.[Medline]

6. Kitzman H, Olds D, Henderson C, Hanks C, Cole R, Tatlebaum R, et al. Effect of prenatal and infancy home visitation by nurses on pregnancy outcomes, childhood injuries, and repeated childbearing: A randomized controlled trial. JAMA 1997;278:644–52.[Abstract]

7. Bryce R, Stanley F, Garner J. Randomized controlled trial of antenatal social support to prevent preterm birth. Br J Obstet Gynecol 1991;98:1001–8.[Medline]

8. Berkowitz G, Papiernik E. Epidemiology of preterm birth. Epidemiol Rev 1993;15:414–43.[Free Full Text]

9. Aldous M, Edmonson B. Maternal age at first childbirth and risk of low birth weight and preterm delivery in Washington state. JAMA 1993;270:2574–7.[Abstract]

10. Wadhwa P, Sandman C, Porto M, Dunkel-Schetter C, Garite T. The association between prenatal stress and infant birth weight and gestational age at birth: A prospective investigation. Am J Obstet Gynecol 1993;169: 858–65.[Medline]

11. Cnattingius S, Forman M, Berendes H, Isotalo L. Delayed childbearing and risk of adverse perinatal outcome. JAMA 1992;268:886–90.[Abstract]

12. Kramer M. Preventing preterm birth: Are we making any progress? Yale J Biol Med 1997;70:227–32.[Medline]

13. Main D, Gabbe S. Risk scoring for preterm labor: Where do we go from here? Am J Obstet Gynecol 1987;157: 789–93.[Medline]

14. Spitzer R, Williams J, Kroenke K, Hornyak R, McMurray J. Validity and utility of the PRIME-MD patient health questionnaire in assessment of 3000 obstetric-gynecologic patients: The PRIME-MD Patient Health Questionnaire Obstetrics-Gynecology Study. Am J Obstet Gynecol 2000; 183:759–69.[Medline]

15. Gotlib IH, Whiffen VE, Mount JH, Milne K, Cordy NI. Prevalence rates and demographic characteristics associated with depression in pregnancy and the postpartum. J Consult Clin Psychol 1989:269–74.

16. Kumar R, Robson KM. A prospective study of emotional disorders in child bearing women. Br J Psychiatry 1984; 144:35–47.[Abstract/Free Full Text]

17. O’Hara MW. Social support, life events, and depression during pregnancy and the puerperium. Arch Gen Psychiatry 1986;43:569–73.[Abstract]

18. Kelly R, Zatzick D, Anders T. The detection and treatment of psychiatric disorders and at risk substance use among pregnant women cared for in Obstetrics. Am J Psychiatry 2001;158:213–9.[Abstract/Free Full Text]

19. Frank DA, Zuckerman BS, Amano H. Cocaine use during pregnancy: Prevalence and correlates. Pediatrics 1988;82: 888–95.[Abstract/Free Full Text]

20. Chasnoff IJ, Landress HJ, Barrett ME. The prevalence of illicit drug or alcohol use during pregnancy and discrepancies in mandatory reporting in Pinellas County, Florida. New Engl J Med 1990;332:1202–6.

21. National Pregnancy and Health Survey. Drug use among women delivering live births: 1992. NIH publication 96-3819. Rockville, MD: Department of Health and Human Services, National Institute on Drug Abuse, 1996.

22. Paarlberg K, Vingerhoets J, Passchier J, Dekker G, Van Geijn H. Psychosocial factors and pregnancy outcome: A review with emphasis on methodological issues. J Psychosom Res 1995;39:563–95.[Medline]

23. Lobel M, Dunkel-Schetter C, Scrimshaw S. Prenatal maternal stress and prematurity: A prospective study of socioeconomically disadvantaged women. Health Psychol 1992;11:32–40.[Medline]

24. Kurki T, Hiilesmaa V, Raitosalo R, Mattila H, Ylikorkala O. Depression and anxiety in early pregnancy and risk for preeclampsia. Obstet Gynecol 2000;95:487–90.[Abstract/Free Full Text]

25. Steer RA, Scholl TO, Hediger ML, Fischer RL. Self-reported depression and negative pregnancy outcomes. J Clin Epidemiol 1992;45:1093–9.[Medline]

26. Orr S, James S, Miller C, Barakat B, Daikoku N, Pupkin M, et al. Psychosocial stressors and low birthweight in an urban population. Am J Prev Med 1996;12:459–66.[Medline]

27. Nordentoft M, Lou H, Hansen D, Nim J, Pryds O, Rubin P, et al. Intrauterine growth retardation and premature delivery: The influence of maternal smoking and psychosocial factors. Am J Public Health 1996;86:347–54.[Abstract/Free Full Text]

28. Hoffman S, Hatch M. Depressive symptomatology during pregnancy: Evidence for an association with decreased fetal growth in pregnancies of lower social class women. Health Psychol 2000;19:535–43.[Medline]

29. Zuckerman B, Bauchner H, Parker S, Cabral H. Maternal depressive symptoms during pregnancy, and newborn irritability. J Dev Behav Pediatr 1990;11:190–4.[Medline]

30. Chasnoff IJ. Drugs and women: Establishing a standard of care. Ann NY Acad Sci 1989;562:208–10.[Medline]

31. Kaye K, Elkind L, Goldberg D, Tytun A. Birth outcomes for infants of drug abusing mothers. NY State J Med 1989;89:256–61.[Medline]

32. Racine A, Joyce T, Anderson R. The association between prenatal care and birth weight among women exposed to cocaine in New York City. JAMA 1993;270:1581–6.[Abstract]

33. Herrchen B, Gould JB, Nesbitt TS. Vital statistics linked birth/infant death and hospital discharge record linkage for epidemiological studies. Comput Biomed Res 1997;30: 290–305.[Medline]

34. Kelly R, Danielsen B, Golding J, Anders T, Gilbert W, Zatzick D. Adequacy of prenatal care among women with psychiatric diagnoses giving birth in California in 1994 and 1995. Psychiatr Serv 1999;50:1584–90.[Abstract/Free Full Text]

35. Kotelchuck M. An evaluation of the Kessner Adequacy of Prenatal Care Index and a proposed Adequacy of Prenatal Care Utilization Index. Am J Public Health 1994;84: 1414–20.[Abstract/Free Full Text]

36. Lydon-Rochelle M, Holt V, Martin D, Easterling T. Association between method of delivery and maternal rehospitalization. JAMA 2000;283:2411–6.[Abstract/Free Full Text]

37. SPSS 10.0 for Windows, Chicago: SPSS Inc., 1999.

38. Kelly RH, Danielsen BH, Zatzick DF, Haan MN, Anders TF, Gilbert WM, et al. Chart recorded psychiatric diagnoses in women giving birth in California in 1992. Am J Psychiatry 1999;156:955–7.[Abstract/Free Full Text]

39. Zuckerman B, Amaro H, Bauchner H, Cabral H. Depressive symptoms during pregnancy: Relationship to poor health behaviors. Am J Obstet Gynecol 1989;160: 1107–11.[Medline]

40. McCormick M, Brooks-Gunn J, Shorter T, Holmes J, Wallace C, Heagarty M. Factors associated with smoking in low income pregnant women: Relationship to birth weight, stressful life events, social support, health behaviors and mental distress. J Clin Epidemiol 1990;43:441–8.[Medline]

41. Ludman E, Nelson J, Grothaus L, McBride C, Curry S, Lando H. Stress, depressive symptoms, and smoking cessation among pregnant women. Health Psychol 2000;19:21–7.[Medline]

42. Wadhwa P, Dunkel-Schetter D, Chicz-DeMet PM, Sandman K. Prenatal psychosocial factors and the neuroendocrine axis in human pregnancy. Psychosom Med 1995;58: 432–46.

43. Hickey C, Cliver S, Goldenberg R, McNeal S, Hoffman H. Relationship of psychosocial status to low prenatal weight gain among nonobese black and white women delivering at term. Obstet Gynecol 1995;86:177–83.[Abstract]

44. Stein J, Lu M, Gelberg L. Severity of homelessness and adverse birth outcomes. Health Psychol 2000;19:524–34.[Medline]

45. Hobel C, Dunkel-Schetter C, Roesch S, Castro L, Arora C. Maternal plasma corticotropin-releasing hormone associated with stress at 20 weeks’ gestation in pregnancies ending in preterm delivery. Am J Obstet Gynecol 1999; 180:S257–63.[Medline]

46. Schobel H, Fischer T, Heuszer K, Geiger H, Schmieder R. Preeclampsia: A state of sympathetic overactivity. N Engl J Med 1996;335:1480–5.[Abstract/Free Full Text]

47. Lewinsky R, Riskin-Mashiah S. Autonomic imbalance in preeclampsia: Evidence for increased sympathetic tone in response to the supine-pressor test. Obstet Gynecol 1998; 91:935–9.[Abstract]

48. Sandman C, Wadhwa P, Chicz-Demet A, Dunkel-Schetter C, Porto M. Maternal stress, HPA activity, and fetal/infant outcome. Ann NY Acad Sci 1997;814:266–75.[Abstract/Free Full Text]

49. Teixeira J, Fisk N, Glover V. Association between maternal anxiety in pregnancy and increased uterine artery resistance index: Cohort based study. BMJ 1999;318:153–7.[Abstract/Free Full Text]

50. Dawson G, Klinger L, Panagiotides H, Hill D, Sieder S. Frontal lobe activity and affective behavior of infants of mothers with depressive symptoms. Child Dev 1992;63: 725–37.[Medline]




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