Citation: Carmen Giurgescu, Lara Fahmy, Jaime Slaughter-Acey, Alexandra Nowak, Cleopatra Caldwell, Dawn P Misra. Can support from the father of the baby buffer the adverse effects of depressive symptoms on risk of preterm birth in Black families?[J]. AIMS Public Health, 2018, 5(1): 89-98. doi: 10.3934/publichealth.2018.1.89
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Preterm birth (PTB; birth before 37 completed weeks of gestation) is the leading cause of infant mortality among Blacks [1]. Compared with non-Hispanic white women, Black women are more likely to have PTB (8.9% and 13.4%, respectively) [2]. Maternal depressive symptoms have received considerable attention with regard both to the etiology of PTB as well as an explanation for Black-white disparities in adverse birth outcomes [3,4,5,6,7,8,9,10,11,12,13,14,15]. Black women with higher levels of depressive symptoms are at higher risk of PTB [16,17,18]. Pregnant Black women also report lower levels of social support than pregnant white women [19]. Lack of social support was related to higher levels of depressive symptoms among Black women [20,21]. A recent meta-analysis reported an increased risk for PTB (OR = 1.52; 95% CI: 1.18, 1.97) among women with high levels of stress and low levels of social support, suggesting a buffering effect of social support [22].
The maternal-paternal relationship, specifically support and conflict, may influence maternal depressive symptoms and affect birth outcomes. Black women whose father of the baby was supportive during pregnancy had lower levels of depressive symptoms compared with women whose father of the baby was not supportive during pregnancy [23]. In a sample of majority non-Hispanic white women (94%), depressed women who rated their partners as less supportive had babies who were born earlier compared with depressed women with higher perceived partner support [24]. Dissatisfaction with partner relationships has been related to psychological distress among pregnant women [25]. Among unmarried mothers, those in poor relationships were more likely to have depressive symptoms compared with women in good relationships [26]. The relationship with the father of the baby can be a source of support or conflict for the pregnant woman; therefore, the quality of the father-mother relationship has implications for birth outcomes. Thus, the purpose of this paper was to examine if father of the baby support moderated the associations between depressive symptoms and PTB among Black women.
This present study is a secondary analysis of a retrospective cohort study of Black women participating in the life-course influences on fetal environments (LIFE) study conducted in the Detroit metropolitan area [20,27]. Women were included in the LIFE study if they self-identified as Black or African American, were 18 to 45 years old and were within three days postpartum. Women were recruited from labor and delivery and postpartum units of a Detroit suburban hospital from June 2009 to December 2011. The main purpose of the original study was to examine the impact of racism on PTB for Black women [28]. A description of the methods for this study is provided in detail elsewhere [20,27]. The study sample included 1,410 women, which represented 71% of the women approached for study participation.
Maternal characteristics. Maternal characteristics were measured based on participants' self-report (e.g., age, level of education, household annual income) and medical records (e.g., hypertensive disorders, month of pregnancy at the time of the first prenatal visit, number of prenatal care visits). The adequacy of prenatal care utilization was measured using the Kotelchuck Index based on (a) the adequacy of initiation of prenatal care measured as pregnancy months 1 and 2, months 3 and 4, months 5 and 6, and months 7 to 9; (b) the ratio of recorded prenatal visits compared to American College of Obstetrics and Gynecology recommended visits. Adequate prenatal care was a score of 80% or greater on the Kotelchuck Index. Pre-pregnancy Body Mass Index (BMI) was calculated based on maternal reported height and weight prior to pregnancy. We used the classification for BMI as underweight (< 18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2) and obese (≥ 30 kg/m2) [29].
Depressive symptoms. The Center for Epidemiologic Studies Depression Scale (CES-D) [30] measures the presence of salient symptoms of depression within the past seven days (e.g., bothered by things more than usual, felt lonely). The CES-D has 20 items each rated on a 4-point scale referring to frequency of symptoms (0 = rarely, 1 = some of the time, 2 = occasionally, 3 = most of the time) with a total possible score ranging from 0-60. CES-D scores ≥ 23 have been correlated with major depression diagnosis [31,32]. In the current secondary data analysis, the CES-D was used as a dichotomous variable (CES-D scores < 23, CES-D scores ≥ 23). Internal consistency reliability of the 20-item CES-D measure was 0.85.
Father of the baby support. The father of the baby (FOB) support was measured using the social networks in adult relations questionnaire [33,34]. The tool has 14 items [e.g., (FOB) is always there when I need him; I feel that I can tell (FOB) just about everything; (FOB) is someone I can count on for financial support if I need it; (FOB) is someone I can count on to take care of my baby] on a 5-point scale (strongly disagree to strongly agree). The total possible score ranges from 14-70. There is no standard handling of the score of this construct. We used the median as a simple approach for contrast. We split the instrument at the median score for our sample and used a dichotomous variable of FOB support: Supportive (scores 60 or higher) and not supportive (scores less than 60). We were also interested a priori in considering context (interactions) and knew that statistical power might be too low if we proceeded to use quartiles or quintiles as well as be more difficult to interpret.
Preterm birth. Gestational age at birth was collected from medical records. Gestational age was computed based on the reported start date of the participant's last menstrual period (LMP) and corroborated using ultrasound measurements of the crown-rump length [35,36]. In the case there was inconsistency between LMP and the ultrasound, the estimate based on the early ultrasound was used (n = 460). If both the ultrasound and LMP were missing, we used the provider's estimate from a late ultrasound (after 20 weeks gestation) (n = 165), the provider's estimate of gestation at birth (n = 61 women), or gestational age from the birth records, if everything else was missing (n = 21). PTB was measured as gestational age at birth of less than 37 completed weeks of gestation.
Descriptive statistics were used to describe maternal characteristics, CES-D and FOB scale. Chi-square was used to examine differences in sample characteristics between women with PTBs and women with term births. Binary logistic regression was used to examine if FOB support moderated the associations between depressive symptoms and PTB. We examined a number of potential confounders hypothesized to relate to depressive symptoms, FOB support and preterm birth: Advanced maternal age (<35 years of age vs. ≥35 years of age), low household income (< $20,000 vs. ≥ $20,000), low levels of education [< high school vs. graduated high school or completed high school equivalency test (e.g., GED)], smoking in the past year (yes vs. no), hypertensive disorders (e.g., chronic hypertension, preeclampsia) (yes vs. no), inadequate prenatal care (yes vs. no), and BMI (<18.5 kg/m2, 18.5-24.9 kg/m2, 25-29.9 kg/m2, ≥30 kg/m2).
Majority of women were less than 35 years of age (85%), graduated high school or completed a high school equivalency test (92%), and had a household income of $20,000 or more (72%). Eight percent of women had hypertensive disorders. A subsample of 250 women had PTB (17.7%). Women had a CES-D mean of 15.31 ± 9.77 and a FOB scale mean of 55.47 ± 12.54. Twenty percent of women had CES-D scores ≥ 23 (data not shown). Women with PTBs were more likely to have hypertensive disorders and CES-D scores ≥ 23 compared with women with term births (see Table 1).
In an unadjusted logistic regression model, women who had CES-D scores ≥ 23 were 1.8 times more likely to have PTB compared with those with CES-D scores < 23 (OR = 1.82; 95% CI: 1.33, 2.50; p < 0.001). The risk of PTB did not vary by the mother's FOB scores ≥ 60 (above the median reflecting higher support) compared to those < 60 (OR = 1.03; 95% CI: 0.77, 1.36; p = 0.8). Based on prior work of our group and others, we explored whether there might be an interaction between depressive symptoms and FOB support with regard to PTB risk. Among women with FOB scale < 60, the OR of PTB for women with CES-D scores ≥ 23 compared to < 23 was 2.57 (95% CI: 1.68, 3.94; p < 0.001). In other words, among women with FOB scores < 60, women with CES-D scores ≥ 23 had a 157% (95% CI: 68, 294; p < 0.001) increased odds of PTB compared to women with CES-D < 23. Among women with FOB scores ≥ 60, the odds of PTB in women with CES-D scores ≥ 23 was not statistically significantly different compared to the odds of PTB in women with CES-D scores < 23 (OR = 1.34; 95% CI: 0.74, 2.44; p = 0.3).
Variable | Full term birth N (%) | Preterm birth N (%) | χ2 |
Maternal Age | 1.866 | ||
< 35 years | 990 (82.8) | 205 (17.2) | |
≥ 35 years | 169 (79.0) | 45 (21.0) | |
Level of Education | 0.241 | ||
< 12 years | 1059 (82.1) | 231 (17.9) | |
≥ 12 years | 99 (83.9) | 19 (16.1) | |
Household Annual Income | 0.180 | ||
< $20,000 | 289 (81.2) | 67 (18.8) | |
≥ $20,000 | 739 (82.2) | 160 (17.8) | |
Smoking in the Past Year | 0.172 | ||
Yes | 190 (81.2) | 44 (18.8) | |
No | 960 (82.3) | 206 (17.7) | |
Inadequate Prenatal Care | 0.323 | ||
Yes | 589 (81.7) | 132 (18.3) | |
No | 570 (82.8) | 118 (17.2) | |
Hypertensive Disorders | 19.901 |
||
Yes | 70 (66.0) | 36 (34.0) | |
No | 1038 (83.4) | 207 (16.6) | |
Body Mass Index | 2.312 | ||
< 18.5 | 27 (79.4) | 7 (20.6) | |
18.5-24.9 | 368 (81.4) | 84 (18.6) | |
25-29.9 | 319 (84.8) 415 (81.5) | 57 (15.2) | |
≥ 30 | 94 (18.5) | ||
CES-D scores |
13.962 |
||
< 23 | 909 (84.3) | 169 (15.7) | |
≥ 23 | 207 (74.7) | 70 (25.3) | |
FOB scores |
0.029 | ||
< 60 | 526 (81.9) | 116 (18.1) | |
≥ 60 | 522 (81.6) | 118 (18.4) | |
**p < 0.01. a: The sample sizes are different for individual variables due to missing data. b: CES-D: Center for Epidemiologic Studies Depression Scale. c: FOB: Relationship with the father of the baby as measured by the Social Networks in Adult Relations Questionnaire. |
We found that advanced maternal age, low levels of education, low household annual income, smoking in the past year, hypertensive disorders, inadequate prenatal care, and BMI were confounders of the associations (change in regression coefficients of 10 percent or more). In a model adjusting for those confounders, among women with FOB scores < 60, the OR of PTB for women with CES-D scores ≥ 23 compared to < 23 was 2.79 (95% CI: 1.75, 4.45; p < 0.001). In other words, among women with FOB scores < 60, women with CES-D scores ≥ 23 had nearly 3 times the odds (2.79) of PTB compared to women with CES-D scores < 23. Among women with FOB scores ≥ 60, the odds of PTB in women with CES-D scores ≥ 23 was not statistically significantly different compared to the odds of PTB in women with CES-D scores < 23 (OR = 1.21; 95% CI: 0.62, 2.35; p = 0.6). The interaction term was statistically significant (p = 0.04) suggesting that the association between depressive symptoms and PTB in women with FOB scores < 60 was not the same as it was in women with FOB scores ≥ 60.
We found that among women whose fathers of their babies were less supportive (FOB scores < 60), women who had CES-D scores ≥ 23 were more likely to have PTB compared with women who had CES-D scores < 23. Among women whose fathers of their babies were more supportive (FOB scores ≥ 60), the risk of PTB for women who had CES-D scores ≥ 23 was not different than the risk of PTB for women who had CES-D scores < 23. These results suggest that maternal depressive symptoms play a major role in increasing the risk for PTB among women with less support from the fathers of their babies. However, among women who have more support from the fathers of their babies, maternal depressive symptoms do not increase the risk for PTB.
Studies of birth outcomes typically have focused on exposures and experiences of the pregnant woman in isolation without considering her partner or family. We posit that research on birth outcomes needs to go beyond the focus of the pregnant woman and consider the role of the father. Why should Black fathers matter? [37] A recent meta-analysis reported that paternal Black race is a risk factor for adverse birth outcomes above and beyond maternal Black race; and Black mother-Black father couples were two times more likely to have PTB compared with white mother-white father couples [38]. In 2014, 71% of births to Black women occurred outside of marriage, compared with 29% of births to white women. Black fathers are an understudied group and are stereotyped as uninvolved with their children and not concerned about their parental role. However, data shows that Black fathers are involved with their children even when the relationship with the mother does not last [39]. The few studies that have explored paternal effects on birth outcomes have generally excluded understanding the dynamic, complex, and often correlated maternal-paternal relationship or they have been limited to an examination of paternal age, occupation, or socioeconomic status given the significance placed on fathers' role as a provider [40]. These approaches ignore a wide range of factors that may influence birth outcomes. Depressive symptoms are risk factors for PTB among Black women [16,17,18]. Research suggests that among pregnant depressed women, perceived lack of support from partner increased the risk of earlier birth [24]. In contrast, support from partner during the pregnancy has been shown to be protective for low birthweight infants [41] including Black women [42]. Thus, research needs to focus on the role of the father of the baby on birth outcomes among Black women.
This study has some limitations. This is a retrospective cohort study where women were enrolled after birth. Research suggests that depressive symptoms do not change across pregnancy [21,43]; therefore, it is likely that women who had CES-D scores ≥ 23 in the week prior to birth also had higher CES-D scores early in pregnancy. It is also possible that women may have differentially reported their depressive symptoms based on the outcome of pregnancy, but our own work comparing prospective to retrospective cohorts as well as a number of studies on recall bias in case-control research on congenital malformations suggests that this is likely minimal [44]. The LIFE study did not include diagnostic mental health measures, which are considered the gold standard for mental health assessment. Since the CES-D is a screening tool, the instrument does not measure major depression diagnosis. However, CES-D scores ≥ 23 have been correlated with major depression [31,32]. Despite these limitations, these findings suggest that FOB scores moderated the association between CES-D scores ≥ 23 and PTB.
Complex processes are at work in the lives of pregnant Black parents. Understanding mechanisms through which these processes unfold is imperative for articulating risk and protective factors influencing birth outcomes. Although the literature has identified a number of risk factors for adverse birth outcomes associated with mothers, little attention has been given to understanding the role of fathers on birth outcomes. We found that among women whose fathers of their babies were less supportive, women who reported severe symptoms of depression were more likely to have preterm birth. The buffering effect of father of the baby support on the association between depressive symptoms and preterm birth may be one mechanism by which the father of the baby influences birth outcomes among Black women. Understanding the role of the father of the baby on birth outcomes will provide the foundation for designing interventions to eliminate disparities in PTB among Black women.
The study was funded by the National Institutes of Health, National Institute of Child Health and Human Development R01 HD058510. We thank the women who participated in the study.
All authors declare no conflicts of interest in this paper.
[1] | Kochanek KD, Murphy SL, Xu J, et al. (2016) Deaths: Final data for 2014. National Center for Health Statistics: Hyattsville. |
[2] | Martin JA, Hamilton BE, Osterman MJ, et al. (2017) Births: Final data for 2015. National Vital Statistics Report 2017, National Center for Health Statistics: Hyattsville, MD. |
[3] |
Hedegaard M, Henriksen TB, Secher NJ, et al. (1993) Psychological distress in pregnancy and preterm delivery. BMJ 307: 234–239. doi: 10.1136/bmj.307.6898.234
![]() |
[4] |
Rini CK, Dunkelschetter C, Wadhwa PD, et al. (1999) Psychological adaptation and birth outcomes: The role of personal resources, stress, and sociocultural context in pregnancy. Health Psychol 18: 333–345. doi: 10.1037/0278-6133.18.4.333
![]() |
[5] |
Dole N, Savitz DA, Siega-Riz AM, et al. (2003) Maternal stress and preterm birth. Am J Epidemiol 157: 14–24. doi: 10.1093/aje/kwf176
![]() |
[6] |
Dole N, Savitz DA, Siegariz AM, et al. (2004) Psychosocial factors and preterm birth among African American and White women in central North Carolina. Am J Public Health 94: 1358–1365. doi: 10.2105/AJPH.94.8.1358
![]() |
[7] |
Wadhwa PA, Sandman CA, Porto M, et al. (1993) The association between prenatal stress and infant birth weight and gestational age at birth: A prospective investigation. Am J Obstet Gynecol 169: 858–865. doi: 10.1016/0002-9378(93)90016-C
![]() |
[8] |
Ding XX, Wu YL, Xu SJ, et al. (2014) Maternal anxiety during pregnancy and adverse birth outcomes: A systematic review and meta-analysis of prospective cohort studies. J Affective Disord 159: 103–110. doi: 10.1016/j.jad.2014.02.027
![]() |
[9] |
McDonald SW, Kingston D, Bayrampour H, et al. (2014) Cumulative psychosocial stress, coping resources, and preterm birth. Arch Womens Mental Health 17: 559–568. doi: 10.1007/s00737-014-0436-5
![]() |
[10] |
Dayan J, Creveuil C, Marks MN, et al. (2006) Prenatal depression, prenatal anxiety, and spontaneous preterm birth: A prospective cohort study among women with early and regular care. Psychosom Med 68: 938–946. doi: 10.1097/01.psy.0000244025.20549.bd
![]() |
[11] |
Orr ST, James SA, Prince CB (2002) Maternal prenatal depressive symptoms and spontaneous preterm births among African-American women in Baltimore, Maryland. Ame J Epidemiol 156: 797–802. doi: 10.1093/aje/kwf131
![]() |
[12] |
Jesse DE, Seaver W, Wallace DC (2003) Maternal psychosocial risks predict preterm birth in a group of women from Appalachia. Midwifery 19: 191–202. doi: 10.1016/S0266-6138(03)00031-7
![]() |
[13] |
Misra D, Strobino D, Trabert B (2010) Effects of social and psychosocial factors on risk of preterm birth in Black women. Paediatr Perinat Epidemiol 24: 546–554. doi: 10.1111/j.1365-3016.2010.01148.x
![]() |
[14] |
Grote NK, Bridge JA, Gavin AR, et al. (2010) A meta-analysis of depression during pregnancy and the risk of preterm birth, low birth weight, and intrauterine growth restriction. Arch Gen Psychiatry 67: 1012–1024. doi: 10.1001/archgenpsychiatry.2010.111
![]() |
[15] |
Szegda K, Markenson G, Bertone-Johnson ER, et al. (2014) Depression during pregnancy: A risk factor for adverse neonatal outcomes? A critical review of the literature. J Matern-Fetal Neonat Med 27: 960–967. doi: 10.3109/14767058.2013.845157
![]() |
[16] |
Misra D, Strobino D, Trabert B (2010) Effects of social and psychosocial factors on risk of preterm birth in Black women. Paediatr Perinat Epidemiol 24: 546–554. doi: 10.1111/j.1365-3016.2010.01148.x
![]() |
[17] |
Giurgescu C, Engeland CG, Templin TN (2015) Symptoms of depressive predict negative birth outcomes in African American women: A pilot study. J Midwifery Women's Health 60: 570–577. doi: 10.1111/jmwh.12337
![]() |
[18] |
Giurgescu C, Sanguanklin N, Engeland CG, et al. (2015) Relationships among psychosocial factors, biomarkers, preeclampsia, and preterm birth in African American women: A piol. Appl Nurs Res 28: 1–6. doi: 10.1016/j.apnr.2014.12.004
![]() |
[19] | Paul K, Boutain D, Agnew K, et al. (208) The relationship between racial identity, income, stress and C-reactive protein among parous women: Implications for preterm birth disparity research. J Natl Med Assoc 100: 540–546. |
[20] |
Giurgescu C, Misra DP, Caldwell CH, et al. (2015) The impact of neighborhood quality, perceived stress, and social support on depressive symptoms during pregnancy in African American women. Soc Sci Med 130: 172–180. doi: 10.1016/j.socscimed.2015.02.006
![]() |
[21] |
Giurgescu C, Zenk SN, Templin TN, et al. (2015) The impact of neighborhood environment, social support, and avoidance coping on depressive symptoms of pregnant African American women. Womens Health Issues 25: 294–302. doi: 10.1016/j.whi.2015.02.001
![]() |
[22] |
Hetherington E, Doktorchik C, Premji SS, et al. (2015) Preterm birth and social support during pregnancy: A systematic review and meta-analysis. Paediatr Perinat Epidemiol 29: 523–535. doi: 10.1111/ppe.12225
![]() |
[23] |
Giurgescu C, Templin TN (2015) Father involvement and psychological well-being of pregnant women. MCN Am J Matern Child Nurs 40: 381. doi: 10.1097/NMC.0000000000000183
![]() |
[24] |
Nylen KJ, O'Hara MW, Engeldinger J (2013) Perceived social support interacts with prenatal depression to predict birth outcomes. J Behav Med 36: 427–440. doi: 10.1007/s10865-012-9436-y
![]() |
[25] |
Jonsdottir SS, Thome M, Steingrimsdottir T, et al. (2017) Partner relationship, social support and perinatal distress among pregnant Icelandic women. Women Birth 30: e46–e55. doi: 10.1016/j.wombi.2016.08.005
![]() |
[26] |
Bloch JR, Webb DA, Matthew L, et al. (2010) Beyond marital status: The quality of the mother-father relationship and its influence on reproductive health behaviors and outcomes among unmarried low income pregnant women. Matern Child Health J 14: 726–734. doi: 10.1007/s10995-009-0509-7
![]() |
[27] |
Sealyjefferson S, Giurgescu C, Helmkamp L, et al. (2015) Perceived physical and social residential environment and preterm delivery in African-American women. Am J Epidemiol 182: 485–493. doi: 10.1093/aje/kwv106
![]() |
[28] |
Slaughter-Acey JC, Sealy-Jefferson S, Helmkamp L, et al. (2016) Racism in the form of micro aggressions and the risk of preterm birth among black women. Ann Epidemiol 26: 7–13. doi: 10.1016/j.annepidem.2015.10.005
![]() |
[29] | Center for Disease Control and Prevention, Defining adult overweight and obesity. Available from: https://www.cdc.gov/obesity/adult/defining.html. |
[30] |
Radloff LS (1977) The CES-D scale: A self-report depression scale for research in the general population. App Psychol Meas 1: 385–401. doi: 10.1177/014662167700100306
![]() |
[31] | Radloff LS, Locke BZ (1986) The community mental health assessment survey and CES-D scale, In: Weissman MM and Myers JK, Editors, Community Surveys of Psychiatric Disorders, New Brunswick, NJ: Rutgers University Press, 177–189. |
[32] |
Orr ST, Blazer DG, James SA, et al. (2007) Depressive symptoms and indicators of maternal health status during pregnancy. J Womens Health 16: 535–542. doi: 10.1089/jwh.2006.0116
![]() |
[33] | Antonucci TC (1986) Social support networks: A hierarchical mapping technique. Generations 10: 10–12. |
[34] | Kahn RL, Antonucci TC (1980) Convoys over the life course: Attachment, roles, and social support, In: Baltes PB, Editors, Life-span development and behavior, New York: Academic Press, 254–283. |
[35] | Taipale P, Hiilesmaa V (2001) Predicting delivery date by ultrasound and last menstrual period in early gestation. Obstet Gynecol 97: 189–194. |
[36] | Obstetriciansgynecologists ACO (2014) Committee opinion, number 611. Method for estimating due date. Am Coll Obstet Gynecol 863–866. |
[37] | Misra DP, Caldwell C, Young AA, et al. (2010) Do fathers matter? Paternal contributions to birth outcomes and racial disparities. Am J Obstet Gynecol 202: 99–100. |
[38] |
Srinivasjois RM, Shah S, Shah PS (2012) Biracial couples and adverse birth outcomes: A systematic review and meta-analyses. Acta Obstet Gynecol Scand 91: 1134–1146. doi: 10.1111/j.1600-0412.2012.01501.x
![]() |
[39] |
Lewin A, Mitchell SJ, Waters D, et al. (2015) The protective effects of father involvement for infants of teen mothers with depressive symptoms. Matern Child Health J 19: 1016–1023. doi: 10.1007/s10995-014-1600-2
![]() |
[40] |
Shah MK, Gee RE, Theall KP (2014) Partner support and impact on birth outcomes among teen pregnancies in the United States. J Pediatr Adolesc Gynecol 27: 14–19. doi: 10.1016/j.jpag.2013.08.002
![]() |
[41] |
Brewin D, Nannini A (2014) Using a life course model to examine racial disparities in low birth weight during adolescence and young adulthood. J Midwifery Womens Health 59: 417–427. doi: 10.1111/jmwh.12110
![]() |
[42] |
Wilusz MJ, Peters RM, Cassidy-Bushrow AE (2014) Course of Depressive Symptoms across Pregnancy in African American Women. J Midwifery Womens Health 59: 411–416. doi: 10.1111/jmwh.12057
![]() |
[43] |
Misra DP, Slaughter-Acey J, Giurgescu C, et al. (2017) Why do Black women experience higher rates of preterm birth? Curr Epidemiol Rep 4: 1–15. doi: 10.1007/s40471-017-0094-z
![]() |
1. | Sarah E. DeYoung, Victoria Jackson, Tamora A. Callands, Maternal stress and social support during Hurricane Florence, 2023, 44, 0739-9332, 198, 10.1080/07399332.2022.2046750 | |
2. | Bridgette E. Blebu, Martha Tesfalul, Deborah Karasek, Charles E. McCulloch, Jazmin Fontenot, Lauren Lessard, Miriam Kuppermann, Perceived stress and COVID-19-related stressors: the moderating role of social support during pregnancy, 2022, 62, 0363-0242, 720, 10.1080/03630242.2022.2125139 | |
3. | Libertie L. Broussard, Kristin X. Mejia-Greene, Stephanie M. Devane-Johnson, Rolanda L. Lister, Collaborative Training as a Conduit to Build Knowledge in Black Birth Workers, 2023, 2197-3792, 10.1007/s40615-023-01671-w | |
4. | Dawn P. Misra, Carmen Giurgescu, Cleopatra Howard Caldwell, Peter Song, Mengtong Hu, Rosemary Adaji, Sarah Vaughan, Fathers Matter, 2023, 0361-929X, 10.1097/NMC.0000000000000953 | |
5. | Irene D. Tang, Daniel Mallia, Qi Yan, Itsik Pe'er, Anita Raja, Ansaf Salleb-Aouissi, Ronald Wapner, A Scoping Review of Preterm Birth Risk Factors, 2023, 0735-1631, 10.1055/s-0043-1775564 | |
6. | Giurgescu C., Misra D.P., Slaughter-Acey J.C., Gillespie S.L., Nowak A.L., Dove-Medows E., Engeland C.G., Zenk S.N., Lydic T.A., Sealy-Jefferson S., Ford J., Drury S., Stemmer P., Neighborhoods, Racism, Stress, and Preterm Birth Among African American Women: A Review, 2022, 44, 0193-9459, 101, 10.1177/01939459211041165 |
Variable | Full term birth N (%) | Preterm birth N (%) | χ2 |
Maternal Age | 1.866 | ||
< 35 years | 990 (82.8) | 205 (17.2) | |
≥ 35 years | 169 (79.0) | 45 (21.0) | |
Level of Education | 0.241 | ||
< 12 years | 1059 (82.1) | 231 (17.9) | |
≥ 12 years | 99 (83.9) | 19 (16.1) | |
Household Annual Income | 0.180 | ||
< $20,000 | 289 (81.2) | 67 (18.8) | |
≥ $20,000 | 739 (82.2) | 160 (17.8) | |
Smoking in the Past Year | 0.172 | ||
Yes | 190 (81.2) | 44 (18.8) | |
No | 960 (82.3) | 206 (17.7) | |
Inadequate Prenatal Care | 0.323 | ||
Yes | 589 (81.7) | 132 (18.3) | |
No | 570 (82.8) | 118 (17.2) | |
Hypertensive Disorders | 19.901 |
||
Yes | 70 (66.0) | 36 (34.0) | |
No | 1038 (83.4) | 207 (16.6) | |
Body Mass Index | 2.312 | ||
< 18.5 | 27 (79.4) | 7 (20.6) | |
18.5-24.9 | 368 (81.4) | 84 (18.6) | |
25-29.9 | 319 (84.8) 415 (81.5) | 57 (15.2) | |
≥ 30 | 94 (18.5) | ||
CES-D scores |
13.962 |
||
< 23 | 909 (84.3) | 169 (15.7) | |
≥ 23 | 207 (74.7) | 70 (25.3) | |
FOB scores |
0.029 | ||
< 60 | 526 (81.9) | 116 (18.1) | |
≥ 60 | 522 (81.6) | 118 (18.4) | |
**p < 0.01. a: The sample sizes are different for individual variables due to missing data. b: CES-D: Center for Epidemiologic Studies Depression Scale. c: FOB: Relationship with the father of the baby as measured by the Social Networks in Adult Relations Questionnaire. |
Variable | Full term birth N (%) | Preterm birth N (%) | χ2 |
Maternal Age | 1.866 | ||
< 35 years | 990 (82.8) | 205 (17.2) | |
≥ 35 years | 169 (79.0) | 45 (21.0) | |
Level of Education | 0.241 | ||
< 12 years | 1059 (82.1) | 231 (17.9) | |
≥ 12 years | 99 (83.9) | 19 (16.1) | |
Household Annual Income | 0.180 | ||
< $20,000 | 289 (81.2) | 67 (18.8) | |
≥ $20,000 | 739 (82.2) | 160 (17.8) | |
Smoking in the Past Year | 0.172 | ||
Yes | 190 (81.2) | 44 (18.8) | |
No | 960 (82.3) | 206 (17.7) | |
Inadequate Prenatal Care | 0.323 | ||
Yes | 589 (81.7) | 132 (18.3) | |
No | 570 (82.8) | 118 (17.2) | |
Hypertensive Disorders | 19.901 |
||
Yes | 70 (66.0) | 36 (34.0) | |
No | 1038 (83.4) | 207 (16.6) | |
Body Mass Index | 2.312 | ||
< 18.5 | 27 (79.4) | 7 (20.6) | |
18.5-24.9 | 368 (81.4) | 84 (18.6) | |
25-29.9 | 319 (84.8) 415 (81.5) | 57 (15.2) | |
≥ 30 | 94 (18.5) | ||
CES-D scores |
13.962 |
||
< 23 | 909 (84.3) | 169 (15.7) | |
≥ 23 | 207 (74.7) | 70 (25.3) | |
FOB scores |
0.029 | ||
< 60 | 526 (81.9) | 116 (18.1) | |
≥ 60 | 522 (81.6) | 118 (18.4) | |
**p < 0.01. a: The sample sizes are different for individual variables due to missing data. b: CES-D: Center for Epidemiologic Studies Depression Scale. c: FOB: Relationship with the father of the baby as measured by the Social Networks in Adult Relations Questionnaire. |