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Breastfeeding continuation at 6 weeks postpartum remediates the negative effects of prenatal intimate partner violence on infant temperament

Published online by Cambridge University Press:  18 March 2019

Laura Miller-Graff*
Affiliation:
Assistant Professor of Psychology and Peace Studies, Department of Psychology, Kroc Institute for International Peace Studies, University of Notre Dame, Notre Dame, IN, USA
Caroline R. Scheid
Affiliation:
Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
*
Author for correspondence: Laura Miller-Graff, Department of Psychology, University of Notre Dame, 390 Corbett Family Hall, Notre Dame, IN46556; E-mail: lmiller8@nd.edu.
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Abstract

Very little work has examined potential moderating effects in the link between prenatal intimate partner violence (IPV) and infant adjustment, especially in the first critical weeks following delivery. The current study evaluated the protective role of breastfeeding in the relationship between prenatal IPV and infant temperament at 4 months. Pregnant women (n = 82) were interviewed during pregnancy and at 6 weeks and 4 months postpartum. It was hypothesized that (a) prenatal IPV would predict infant temperament outcomes at the 4-month postpartum visit, and (b) breastfeeding continuation at 6 weeks acts as a protective factor such that breastfed infants will be less affected by the risk posed by prenatal IPV. Results indicated direct and negative effects of prenatal IPV on positive affectivity/surgency and orienting/regulatory capacity at 4 months. A significant moderating effect of breastfeeding at 6 weeks postpartum was identified. Mothers who were not breastfeeding at 6 weeks postpartum demonstrated the expected negative relationship between prenatal IPV exposure and infant adjustment, but if mothers were breastfeeding at 6 weeks postpartum, the relationship between IPV exposure and infant positive affectivity/surgency and orienting/regulatory capacity was not significantly different from zero. Results indicate a significant protective effect of breastfeeding in the intergenerational transmission of risk for infants born to mothers exposed to IPV.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2019

Intimate partner violence (IPV), defined as threatened or completed acts of psychological, sexual, or physical violence against a partner or spouse, is highly prevalent in the United States, occurring to approximately one in four women in their lifetime (Centers for Disease Control and Prevention [CDC], 2017). For victims, IPV has associated economic costs of approximately $103,767 due to adverse effects on mental and physical health, job productivity, and justice system costs (CDC, 2017; Peterson et al., Reference Peterson, Kearns, McIntosh, Estefan, Nicolaidis, McCollister and Florence2018). Although many studies of IPV focus on sexual and physical forms of abuse alone, psychological forms of IPV have been found to be equally common, and in some studies, have been shown to be even more pernicious than physical forms of abuse (Coker et al., Reference Coker, Davis, Arias, Desai, Sanderson, Brandt and Smith2002; Thompson et al., Reference Thompson, Bonomi, Anderson, Reid, Dimer, Carrell and Rivara2006). Developmentally, risk for IPV exposure has been found to be especially high during pregnancy (Devries et al., Reference Devries, Kishor, Johnson, Stöckl, Bacchus, Garcia-Moreno and Watts2010; Groves et al., Reference Groves, Moodley, McNaughton-Reyes, Martin, Foshee and Maman2015), and it is associated with numerous deleterious effects for both women and children, including higher rates of both antenatal and postpartum mental health symptoms, serious pregnancy complications, higher infant mortality, preterm birth, and low birth weight (Donovan, Spracklen, Schweizer, Ryckman, & Saftlas, Reference Donovan, Spracklen, Schweizer, Ryckman and Saftlas2016; Ferdos, Rahman, Jesmin, Rahman, & Sasagawa, Reference Ferdos, Rahman, Jesmin, Rahman and Sasagawa2018; Flanagan, Gordon, Moore, & Stuart, Reference Flanagan, Gordon, Moore and Stuart2015; Hill, Pallitto, McCleary-Sills, & Garcia-Moreno, Reference Hill, Pallitto, McCleary-Sills and Garcia-Moreno2016; Kastello et al., Reference Kastello, Jacobsen, Gaffney, Kodadek, Sharps and Bullock2016; Reichenheim, Moraes, Howard, & Lobato, Reference Reichenheim, Moraes, Howard and Lobato2017; Silverman, Decker, Reed, & Raj, Reference Silverman, Decker, Reed and Raj2006). Despite clear negative effects of IPV in pregnancy, surprisingly little longitudinal work conducted with this high-risk population exists, and even less examines processes whereby intergenerational risks are transmitted or remediated. The objective of the current study is therefore to examine the protective role of breastfeeding in the relationship between maternal prenatal IPV and infant temperament at approximately 4 months of age.

IPV and Infant Temperament

Infant temperament is defined as “constitutionally based individual differences in reactivity and self-regulation” (Rothbart, Reference Rothbart1986, p. 356). Infant temperament has been shown to predict adjustment problems in early childhood, and easy temperament significantly attenuates the impact of environmental risk factors on consequent adjustment outcomes (Derauf et al., Reference Derauf, LaGasse, Smith, Newman, Shah, Arria and Dansereau2011; Sayal, Heron, Maughan, Rowe, & Ramchandani, Reference Sayal, Heron, Maughan, Rowe and Ramchandani2014). Research on the effects of prenatal stress on infant temperament has demonstrated negative effects in the domains of self-regulation, fussy/difficult temperament, and effortful control but mixed effects on infant positive affectivity/surgency (Bush et al., Reference Bush, Jones-Mason, Coccia, Caron, Alkon, Thomas and Epel2017; Gartstein, Bridgett, Young, Panksepp, & Power, Reference Gartstein, Bridgett, Young, Panksepp and Power2013; Laplante, Brunet, & King, Reference Laplante, Brunet and King2015; Lin, Crnic, Luecken, & Gonzalez, Reference Lin, Crnic, Luecken and Gonzales2014; Nolvi et al., Reference Nolvi, Karlsson, Bridgett, Korja, Huizink, Kataja and Karlsson2016; Simcock et al., Reference Simcock, Elgbeili, Laplante, Kildea, Cobham, Stapleton and King2017). Both prenatal and postnatal IPV have been associated with infant fussy-difficult temperament (Burke, Lee, & O'Campo, Reference Burke, Lee and O'Campo2008; Edhborg, Nasreen, & Kabir, Reference Edhborg, Nasreen and Kabir2017; Quinlivan & Evans, Reference Quinlivan and Evans2005). Research examining the relative contribution of prenatal versus postnatal IPV has demonstrated that prenatal IPV is a stronger predictor of both maternal-reported infant adjustment problems and biological assessments of infant adrenocortical reactivity to stress (Levendosky et al., Reference Levendosky, Bogat, Lonstein, Martinez-Torteya, Muzik, Granger and Von Eye2016).

Breastfeeding and Infant Temperament

Although previous work on IPV exposure gives insight into mechanisms underlying the intergenerational transmission of risk, including depression and parenting behaviors (Levendosky, Leahy, Bogat, Davidson, & von Eye, Reference Levendosky, Leahy, Bogat, Davidson and von Eye2006; Miller-Graff, Nuttall, & Lefever, Reference Miller-Graff, Nuttall and Lefever2018), far fewer studies have examined possible protective effects (i.e., moderating effects) in the link between prenatal IPV and infant adjustment. One of the earliest parent–child interactions following delivery is women's initiation of breastfeeding (Declercq, Labbok, Sakala, & O'Hara, Reference Declercq, Labbok, Sakala and O'Hara2009). Breastfeeding has numerous benefits for both maternal and infant health, including lower risk for developing cancer, type 2 diabetes, postpartum depression, and infant mortality (Chowdhury et al., Reference Chowdhury, Sinha, Sankar, Taneja, Bhandari, Rollins and Martines2015; Khan, Vesel, Bahl, & Martines, Reference Khan, Vesel, Bahl and Martines2015). Beyond its effects on individual health for both mothers and infants, breastfeeding has also been shown to positively contribute to maternal sensitivity, attachment, and bonding (Himani & Kumar, Reference Himani and Kumar2011; Kim et al., Reference Kim, Feldman, Mayes, Eicher, Thompson, Leckman and Swain2011; Tharner et al., Reference Tharner, Luijk, Raat, van IJzendoorn, Bakermans-Kranenburg, Moll and Tiemeier2012). Research on breastfeeding, however, is more limited in its possible contribution to infant temperament. Some studies suggest that decreased breastfeeding is directly associated with difficult temperament in infants (Niegel, Ystrom, Hagtvet, & Vollrath, Reference Niegel, Ystrom, Hagtvet and Vollrath2008) and alertness and irritability during feedings, even when controlling for maternal depression (Field, Hernandez-Reif, & Feijo, Reference Field, Hernandez-Reif and Feijo2002). Maternal breastfeeding also positively contributes to later maternal sensitivity, which, in turn, was related to lower levels of negative emotionality in infants (Jonas et al., Reference Jonas, Atkinson, Steiner, Meaney, Wazana and Fleming2015).

Although no studies to date have evaluated the moderating effect of breastfeeding on the association between IPV and infant adjustment, other research demonstrating the moderating effects of biobehavioral regulatory factors (Bouvette-Tourcot et al., Reference Bouvette-Turcot, Fleming, Wazana, Sokolowski, Gaudreau and Gonzalez2015; Martinez-Torteya, Bogat, Lonstein, Granger, & Levendosky, Reference Martinez-Torteya, Bogat, Lonstein, Granger and Levendosky2017) suggests the relevance of evaluating breastfeeding's potential to moderate the stress–adjustment link. Given that women exposed to prenatal IPV, while seemingly not less likely to initiate breastfeeding, are much more likely to cease breastfeeding in the first few weeks postpartum (Miller-Graff, Ahmed, & Paulson, Reference Miller-Graff, Ahmed and Paulson2018; Wallenborn, Cha, & Masho, Reference Wallenborn, Cha and Masho2018), evaluating the potential protective effects of short-term breastfeeding may be particularly relevant and may hold high public health significance.

Current Study

Prenatal IPV exposure has documented negative effects on infant temperament and development. Few studies, however, have examined biobehavioral factors that may provide insight into possible protective effects in the context of prenatal IPV. Given women exposed to IPV are both more likely to report having infants with difficult temperaments (Quinlivan & Evans, Reference Quinlivan and Evans2005) and more likely to cease breastfeeding early (Miller-Graff, Ahmed, et al., Reference Miller-Graff, Ahmed and Paulson2018; Wallenborn et al., Reference Wallenborn, Cha and Masho2018), gaining a better understanding of the possible protective role of breastfeeding in intergenerational cascades of risk and resilience stands to substantially impact practice and policy with high-risk women. To that end, the current study sought to examine the protective role of breastfeeding in a sample of low-income women at high risk for exposure to IPV. Specifically, it is hypothesized (see Figure 1) that

  1. 1. Prenatal IPV exposure will directly predict infant temperament outcomes (higher negative emotionality, lower positive affectivity/surgency, and lower orienting/regulatory capacity) at the 4-month postpartum visit.

  2. 2. Breastfeeding continuation at 6 weeks will moderate the relationship between IPV and infant temperament, such that breastfed infants will be less adversely affected by the risk posed by maternal prenatal IPV exposure.

Figure 1. Hypothesized model. Controls include infant age and prenatal maternal depression.

Method

Participants

Women in the current study ranged in age from 18 to 39 (M = 26.53, SD = 5.35). Approximately half of the sample (45.12%) was in their first trimester at the baseline interview, with 34.15% entering the study in their second trimester, and 20.73% entering during their third trimester. Regarding educational attainment, 1.22% of women reported completing grade school or less, 18.29% completed some high school, 34.15% completed a high school degree or GED, 35.37% completed some college, and 10.98% completed college or any graduate education. Average monthly income was $1100.07 USD (SD = 906.02). The sample was diverse: 39.02% of women identified as Black or African American, 36.59% identified as White or Caucasian, 19.51% identified as Hispanic or Latina, and 4.88% identified as biracial or multiracial. Regarding their current relationship status, 57.32% of the sample reported that they were single, 24.39% were married, 12.20% were living with a partner, 26.83% were divorced or separated.

Procedures

The current study includes data collected as part of a university partnership with the local Women, Infants, and Children (WIC) Food and Nutrition Service program. The study design and questionnaires were decided upon collaboratively by the research team and the clinic director. Protocol was approved by the institutional review boards of both the participating university and the hospital overseeing the local WIC office. Women were eligible to participate if they were at least 18 years of age and were fluent in either Spanish or English. The Spanish language survey was forward- and back-translated, with semantic discrepancies identified, discussed, and rectified by the translation team and the PI. Spanish language interviews were conducted by project staff with fluency in Spanish. One participant in the current study sample opted to complete the study in Spanish.

Women in the current study were recruited by trained project personnel, who provided a brief description of the study and a flyer during all WIC prenatal care appointments scheduled on days when an interviewer was available on site. In case partners attended appointments, the brief description did not include information regarding IPV assessment. The study was a convenience sample, and percentage of women invited into the study but declining was not tracked. If women were interested in participating, they were invited into a private room to learn more about the study, including the assessment of adversity, and if interested, complete an informed consent. At baseline, all questionnaires were administered via interview. Each participant interview lasted 30–40 min; women were compensated a $10 gift certificate to a local grocery store. Following completion of the baseline interview, women's expected due dates were recorded to permit tracking for postpartum follow-up surveys, which were designed to coincide with women's regular postpartum visits at the WIC office at approximately 6 weeks and 4 months postpartum. Project staff were trained to leave minimal information in messages, not mentioning IPV or violence, and also never to leave messages with others who answer the phone. At follow-ups, all women were offered the opportunity to complete the survey via interview format, if desired, to make the study surveys accessible for women of all literacy levels, but the standard format for administration of the follow-up surveys was for women to complete surveys independently with a staff member available close by to answer any questions and check surveys for completion.

Measures

Demographics (baseline)

Participants completed a brief demographics survey for basic background information, including age, racial/ethnic background, educational attainment, and monthly household income.

Intimate partner violence (baseline)

IPV was assessed using 39 victimization items from the Revised Conflict Tactics Scale (CTS-2; Straus, Hamby, McCoy, & Sugarman, Reference Straus, Hamby, Boney-McCoy and Sugarman1996) assessing physical assault, psychological aggression, sexual coercion, and injury. Women's perpetration of IPV was not assessed. The scale has established discriminant and convergent validity (Straus et al., Reference Straus, Hamby, Boney-McCoy and Sugarman1996) and has been successfully used in numerous studies of IPV-exposed women. In the current study, the CTS-2 was scored using the midpoint method, which provides an estimate of IPV frequency in the past year, and subscales were summed to create a total IPV exposure score. Internal reliability for the current study was good (α = 0.89).

Depressed mood (baseline)

Prenatal depressed mood was assessed using the Center for Epidemiological Studies Depression Scale (CESD; Radloff, Reference Radloff1977). The CESD includes 20 items assessing different aspects of depressed mood, such as loneliness, poor appetite, and restless sleep. The CESD has high internal consistency, retest reliability, and validity (Radloff, Reference Radloff1977). In addition to a total scaled score, the CESD also provides a suggested clinical cutoff, with scores of 16 or higher demonstrating clinically significant symptoms (Radloff, Reference Radloff1977). Internal reliability for the current study was good (α = 0.89).

Breastfeeding (6 weeks postpartum)

Women's breastfeeding behaviors were assessed using the Pregnancy Risk Assessment and Monitoring System breastfeeding module (CDC, 2012). At 6 weeks postpartum, women were asked, “How many weeks or months did you breastfeed or pump milk to feed your baby?” Women reporting a duration of less than 6 weeks were coded as having early breastfeeding cessation (0), and women who were still breastfeeding at 6 weeks postpartum were coded as a 1. A few women in the sample were interviewed less than 6 weeks postpartum due to slight variation in postpartum appointment scheduling at the WIC office; if these women were currently breastfeeding, they were coded as 1. Previous studies on maternal self-report of breastfeeding practice have shown it to be valid within 3 years postpartum (Li, Scanlon, & Serdula, Reference Li, Scanlon and Serdula2005).

Infant temperament (4 months postpartum)

At the 4-month postpartum follow-up survey, women completed the Infant Behavior Questionnaire—Revised—Very Short Form (IBQ-R-VSF; Putnam, Helbig, Gartstein, Rothbart, & Leerkes, Reference Putnam, Helbig, Gartstein, Rothbart and Leerkes2014). This 36-item assessment asks caregivers to rate aspects of infant's temperament in three broad domains: positive affectivity/surgency, orienting/regulatory capacity, and negative emotionality. The positive affectivity/surgency scale includes items assessing infants’ positive affect (e.g., smiling and laughter), vocalizations, activity level, and perceptual sensitivity. The orienting/regulatory capacity scale includes items assessing infants’ orienting/attentiveness, soothability, and cuddliness. The negative emotionality scale includes items assessing sadness, distress, and fearfulness. The IBQ-R-VSF is designed for use with children between the ages of 3 and 12 months, with demonstrated reliability, validity, and relative stability across this time (Rothbart, 1981). The IBQ-R-VSF has been shown to converge well with the original measures and has strong test–retest reliability (Putnam et al., Reference Putnam, Helbig, Gartstein, Rothbart and Leerkes2014). Internal reliabilities for the current study were good for positive affectivity/surgency (α = 0.86) and negative emotionality (α = 0.86), and slightly weaker for orienting/regulatory capacity (α = 0.63).

Attrition

Women who completed at least one postpartum interview (n = 82) were included in the current study. Baseline differences between these women and the full sample (N = 101) were examined to identify any patterns in attrition over the course of the study. Women who completed at least one follow-up interview reported significantly higher household income at baseline (t = –2.30, p < .05). There were no significant differences between the retained and full sample on any other examined sociodemographic characteristic or study variable. Based on these analyses, data were determined to be missing at random (MAR). The optimal approach for handling data MAR is full information likelihood estimation, which successfully produces unbiased coefficient estimates in the case of MAR (Enders & Bandalos, Reference Enders and Bandalos2001), including for small longitudinal samples (Shin, Davidson, & Long, Reference Shin, Davison and Long2017).

Analytic plan

In order to test the first hypothesis, a direct effects multivariate regression was conducted in Stata 14.0 using path modeling. The use of the path modeling macro permits for missing data to be handled using full information likelihood estimation, which was selected as the optimal approach given the characteristics of missing data in this sample. Total variance explained on each dependent variable (R 2) was used to assess the model's utility. Models included controls for infant age and maternal prenatal depression. To evaluate the second hypothesis, which postulated a moderating effect of breastfeeding continuation on the relationship between prenatal IPV and infant temperament, an interaction effect was added to the multivariate regression path model. The relative contribution of the moderation term to the overall model fit was evaluated using ΔR 2 and Cohen's f 2, where a change of .02 was considered to be a small effect, a change of .15 was considered to be medium effect, and a change of .35 was considered to be a large effect (Cohen, Reference Cohen1988; Henseler & Chin, Reference Henseler and Chin2010; Henseler & Fassott, Reference Henseler, Fassott, Henseler and Fassott2010). Significant interactions were probed using simple slopes testing with complete test cases to determine the direction of the moderating effect. Power analyses conducted in GPower 3.3.10 indicated that to evaluate a R 2 increase attributable to the addition of a moderating term to the model (for a total of 5 predictors, including controls) with 80% power and α = 0.05, a small-sized effect (Δf 2 = .02) would require a sample size of n = 395, a medium-sized effect (Δf 2 = .15) would require a sample size of n = 55, and a large effect would require a sample size of n = 25. The critical sample effect size with which a significant moderating term could be detected with the current sample size (n = 82) was Δf 2 = .10.

Results

On average, women reported 31 events of IPV in the past year (M = 30.85, SD = 68.53; see Table 1). Only 18 women (21.9%) in the sample reported no IPV of any kind. Regarding prenatal depression, 34.1% (n = 28) of women in the current study were at or above the depressed mood clinical cutoff (M = 14.63, SD = 10.68). The vast majority of women in the sample (91.30%) initiated breastfeeding. Of women completing the 6 weeks postpartum interview (n = 69), 56.5% were still breastfeeding and 31.9% were breastfeeding exclusively (see Table 2 for descriptive statistics for all study variables).

Table 1. Intimate partner violence exposure frequency by subscale

Table 2. Descriptive statistics and correlations for main study variables

Note: a1 = breastfeeding continuation at 6 weeks postpartum, 0 = not breastfeeding at 6 weeks postpartum; correlations with breastfeeding are point biserial. xp < .10. *p < .01. **p < .001.

Results of the multivariate regression model examining only the main effects explained a total variance of 31.3%, although the dependent variable of positive affectivity/surgency was better explained than negative emotionality and orienting/regulatory capacity (R 2 = .19, R 2 = .04, R 2 = .06, respectively). Results indicated IPV exposure during pregnancy predicted significantly lower levels of infant positive affectivity/surgency at 4 months postpartum (β = –0.27, p < .01). Prenatal IPV also was associated with orienting/regulatory capacity at 4 months postpartum, but only at p < .10 (β = –0.20, p = .07).

The addition of the hypothesized moderating effect of breastfeeding on the relationship between IPV and infant temperament improved overall model variance explained (R 2 = .44, ΔR 2 = .13, Δf 2 = .23) with a medium effect size. There were also significant improvements in variance explained for both positive affectivity/surgency (R 2 = .31, ΔR 2 = .12; Δf 2 = .14) and orienting/regulatory capacity (R 2 = .18, ΔR 2 = .16; Δf 2 = .23), at small-to-medium and medium effect sizes, respectively. The variance explained for negative emotionality was unchanged and small (R 2 = .04; ΔR 2 = .00). Results indicated breastfeeding significantly moderated the relationship between prenatal IPV exposure and infant adjustment for both positive affectivity/surgency and orienting/regulatory capacity (β = 1.06, p < .01; β = 1.10, p < .01, respectively; see Figure 2 and Table 3). Sensitivity analyses suggested that the direction and significance of results were the same when women with values of zero on the CTS-2 were omitted from the analyses, suggesting robustness of current study findings.

Figure 2. Full model. Controls include infant age and prenatal maternal depression. **p < .01. ***p < .001.

Table 3. Multivariate regression analysis

Note: a1 = breastfeeding continuation at 6 weeks postpartum, 0 = not breastfeeding at 6 weeks postpartum. IPV, intimate partner violence. xp < .10. *p < .05. **p < .01 ***p < .001.

Simple slopes analyses indicated mothers who were not breastfeeding at 6 weeks postpartum demonstrated the expected negative relationship between prenatal IPV exposure and infant adjustment, such that higher rates of IPV were associated with lower levels of positive affectivity/surgency and orienting/regulatory capacity (t = –3.86, p < .01, t = –3.44, p < .01, respectively). In contrast, the relationship between IPV exposure and infant positive affectivity/surgency and orienting/regulatory capacity was not significantly different from zero for women who were still breastfeeding at 6 weeks, suggesting IPV exposure did not exert a negative effect on infant temperament at 4 months if mothers were still breastfeeding at 6 weeks postpartum.

Discussion

Although prior studies support negative associations between IPV and infant temperament (Edhborg et al., Reference Edhborg, Nasreen and Kabir2017; Field et al., Reference Field, Hernandez-Reif and Feijo2002; Niegel et al., Reference Niegel, Ystrom, Hagtvet and Vollrath2008), this is the first study to probe breastfeeding as a potential protective factor against detrimental outcomes for infants associated with IPV during pregnancy. The assessment of diverse forms of prenatal IPV (i.e., physical, sexual, and psychological) represents a comprehensive picture of women's victimization in this period and is a significant strength of the current study. As expected, prenatal IPV exposure predicted lower levels of infant positive affectivity/surgency and orienting/regulatory capacity at 4 months postpartum, partially supporting the first hypothesis. IPV did not, however, predict infant negative affectivity. Although this differs from some previous work (Burke et al., Reference Burke, Lee and O'Campo2008; Edhborg et al., Reference Edhborg, Nasreen and Kabir2017; Quinlivan & Evans, Reference Quinlivan and Evans2005), research is limited in this area, and the current results suggest continued evaluation of IPV's effects on infant temperament is warranted. It should also be noted that studies assessing difficult-fussy infant temperament often include indicators of positive affectivity and regulatory responses as part of this dimension (e.g., Burke et al., Reference Burke, Lee and O'Campo2008). As such, it may be the results of the current study further illuminate specific aspects of infant temperament driving the overall relationship between IPV and difficult temperament.

It should be noted, however, that the effects of prenatal IPV on children's adjustment may also be indirect via maternal depression and parenting behaviors (Levendosky et al., Reference Levendosky, Leahy, Bogat, Davidson and von Eye2006; Miller-Graff, Nuttall, et al., Reference Miller-Graff, Nuttall and Lefever2018). The current study is limited in its lack of data on relevant parenting factors, such as parenting practices and maternal sensitivity that may serve as indirect mechanisms by which IPV affects infant temperament. The null findings between IPV and infant negative affectivity should therefore be understood as a null direct effect; future studies should also consider indirect effects of IPV on infant temperament and how breastfeeding might intersect with these relationships.

Results also indicated breastfeeding moderated the relation between IPV and infant temperament for positive affectivity/surgency and orienting/regulatory capacity. That is, IPV exerted the expected, negative relationship with infant temperament in mothers not breastfeeding at 6 weeks, but continued breastfeeding moderated this negative effect to such an extent that the relationship between IPV and infant temperament for these mother–child dyads was not significantly different from zero. These results denote the relevance of IPV exposure during pregnancy for infant temperament and highlight breastfeeding as an important biobehavioral and relational protective factor and represents a novel expansion on the nascent literature on breastfeeding and infant temperament (Field et al., Reference Field, Hernandez-Reif and Feijo2002; Niegel et al., Reference Niegel, Ystrom, Hagtvet and Vollrath2008).

Limitations and future directions

Although the current study provides valuable insight into potential risk and protective factors for high-risk mothers and infants, some limitations should be noted. The longitudinal design of the current study is a strength, but generalizability of the results is limited to the sampling frame (i.e., women receiving low-income prenatal care services). Future work should consider expanded models, including a broader range of maternal socioeconomic status to determine if these effects hold outside of high-risk contexts. The current study also did not include an extensive evaluation of perpetrator characteristics (e.g., whether or not they were the infant's father or whether they were currently living with the participant) or bidirectional IPV. It may be useful for future work to examine how these factors affect intergenerational risk and resilience processes for women and infants. Further, the current study relied on maternal report of IPV exposure, breastfeeding practices, and infant temperament; future research may benefit from utilizing observational measures or structured assessments of children's development and temperament. Such multireporter assessments with larger samples could employ structural equation modeling to better account for model error. Larger sample size would also permit a more comprehensive evaluation of more complex questions regarding the intersection of IPV and other factors that may affect breastfeeding duration (e.g., partner support, injury, and psychiatric medication use) than was possible here. Future work would also benefit from the inclusion of assessments of parenting and attachment to examine how breastfeeding interacts with and contributes uniquely to risk and resilience processes in early infancy.

Clinical and public health implications

Despite these limitations, the current study makes a meaningful contribution to the understanding of risk and resilience factors for high-risk women and infants and has important public health implications. Given the transmission of risk between mothers and children during the perinatal period, particular attention should be paid to IPV exposure during pregnancy. Prenatal screenings for IPV exposure may help inform care for mothers during pregnancy because women experiencing IPV during pregnancy may need additional care and attention, particularly regarding prenatal mental health and breastfeeding supports. Previous work has shown prenatal breastfeeding education is highly influential in women's decisions to initiate and sustain breastfeeding (Miller-Graff, Ahmed, & Paulson, Reference Miller-Graff, Ahmed and Paulson2018). As such, it suggests early screening for prenatal IPV, paired with education and support resources related to breastfeeding, stands to improve the likelihood that at-risk mothers and infants experience the positive health benefits of breastfeeding. The current findings suggest continued breastfeeding actually stands to substantially reduce IPV's intergenerational conferral of risk on infant adjustment, so policy and practice may contribute to this protection by supporting breastfeeding over time.

The protective role of breastfeeding is a particularly promising area of intervention given that breastfeeding education and support is already embedded in numerous health systems women might engage with during their pregnancy. During pregnancy, many women regularly interact with prenatal care providers, learn about breastfeeding options, and have opportunities to understand and develop practices to protect infants’ health and well-being. Consequently, costs of this preventative measure are relatively inconsequential, compared to either more intensive parenting interventions in pregnancy or postpartum mental health supports for women and children. Interventions during preexisting pregnancy health care may be more easily implemented and effective to protect infants from intergenerational risks associated with IPV.

It is important to recognize, however, IPV-exposed women may require more tailored breastfeeding support attending to their particular concerns and difficulties in breastfeeding. Studies of sexual abuse survivors, for example, have found most intend to breastfed and do initiate (in some studies at even higher rates than their nonabused counterparts; Prentice, Lue, Lange, & Haflon, Reference Prentice, Lue, Lange and Halfon2002), but many were dissatisfied with the emotional attentiveness of available medical supports (Elfgen, Hagenbuch, Gőrres, Block, & Leeners, Reference Elfgen, Hagenbuch, Görres, Block and Leeners2017). Given partner responsiveness also predicts longer breastfeeding duration (Rempel, Rempel, & Moore, Reference Rempel, Rempel and Moore2018), women with a recent history of IPV exposure may benefit from breastfeeding education encouraging them to identify and facilitate other relational supports to promote breastfeeding success. As such, perinatal screenings for IPV may be crucial for enhancing preventative care for women and their infants from the intergenerational transmission of risk; such screenings have been recommended and are covered by the Affordable Care Act (Department of Health and Human Services, 2013), and while this is an important step forward, there is little guidance available for medical service providers to guide the successful implementation of such screenings. It is critical, however, that such screenings be more regularly implemented as the costs of preventative measures are relatively inconsequential, compared to either more intensive parenting interventions in pregnancy or postpartum mental health supports for women and children.

References

Bouvette-Turcot, A. A., Fleming, A. S., Wazana, A., Sokolowski, M. B., Gaudreau, H., Gonzalez, A., … MAVAN Research Team. (2015). Maternal childhood adversity and child temperament: An association moderated by child 5-HTTLPR genotype. Genes, Brain and Behavior, 14, 229237.10.1111/gbb.12205CrossRefGoogle ScholarPubMed
Burke, J. G., Lee, L. C., & O'Campo, P. (2008). An exploration of maternal intimate partner violence experiences and infant general health and temperament. Maternal and Child Health Journal, 12, 172179.10.1007/s10995-007-0218-zCrossRefGoogle ScholarPubMed
Bush, N. R., Jones-Mason, K., Coccia, M., Caron, Z., Alkon, A., Thomas, M., … Epel, E. S. (2017). Effects of pre- and postnatal maternal stress on infant temperament and autonomic nervous system reactivity and regulation in a diverse, low-income population. Development and Psychopathology, 29, 15531571.10.1017/S0954579417001237CrossRefGoogle Scholar
Centers for Disease Control and Prevention. (2012). Pregnancy Risk Assessment and Monitoring System: Phase 7 Questionnaire. Retrieved from https://www.cdc.gov/prams/questionnaire.htmGoogle Scholar
Centers for Disease Control and Prevention. (2017). Preventing intimate partner violence. Retrieved from https://www.cdc.gov/violenceprevention/intimatepartnerviolence/index.htmlGoogle Scholar
Chowdhury, R., Sinha, B., Sankar, M. J., Taneja, S., Bhandari, N., Rollins, N., … Martines, J. (2015). Breastfeeding and maternal health outcomes: A systematic review and meta-analysis. Acta Paediatrica, 104, 96113.10.1111/apa.13102CrossRefGoogle ScholarPubMed
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Mahwah, NJ: Erlbaum.Google Scholar
Coker, A. L., Davis, K. E., Arias, I., Desai, S., Sanderson, M., Brandt, H. M., & Smith, P. H. (2002). Physical and mental health effects of intimate partner violence for men and women. American Journal of Preventive Medicine, 23, 260268.10.1016/S0749-3797(02)00514-7CrossRefGoogle ScholarPubMed
Declercq, E., Labbok, M. H., Sakala, C., & O'Hara, M. (2009). Hospital practices and women's likelihood of fulfilling their intention to exclusively breastfeed. American Journal of Public Health, 99, 929935.CrossRefGoogle ScholarPubMed
Department of Health and Human Services. (2013). The Affordable Care Act and women's health. Retrieved from https://www.acf.hhs.gov/sites/default/files/fysb/aca_fvpsa_20131211.pdfGoogle Scholar
Derauf, C., LaGasse, L., Smith, L., Newman, E., Shah, R., Arria, A., … Dansereau, L. (2011). Infant temperament and high risk environment relate to behavior problems and language in toddlers. Journal of Developmental and Behavioral Pediatrics, 32, 125135.CrossRefGoogle ScholarPubMed
Devries, K. M., Kishor, S., Johnson, H., Stöckl, H., Bacchus, L. J., Garcia-Moreno, C., & Watts, C. (2010). Intimate partner violence during pregnancy: Analysis of prevalence data from 19 countries. Reproductive Health Matters, 18, 158170.CrossRefGoogle ScholarPubMed
Donovan, B. M., Spracklen, C. N., Schweizer, M. L., Ryckman, K. K., & Saftlas, A. F. (2016). Intimate partner violence during pregnancy and the risk for adverse infant outcomes: A systematic review and meta-analysis. BJOG, 123, 12891299.CrossRefGoogle ScholarPubMed
Edhborg, M., Nasreen, H.-E., & Kabir, Z. N. (2017). Impact of intimate partner violence on infant temperament. Journal of Interpersonal Violence. Advance online publication. doi:10.1177/0886260517717489CrossRefGoogle ScholarPubMed
Elfgen, C., Hagenbuch, N., Görres, G., Block, E., & Leeners, B. (2017). Breastfeeding in women having experienced childhood sexual abuse. Journal of Human Lactation, 33, 119127.CrossRefGoogle ScholarPubMed
Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8, 430457.CrossRefGoogle Scholar
Ferdos, J., Rahman, M. M., Jesmin, S. S., Rahman, M. A., & Sasagawa, T. (2018). Association between intimate partner violence during pregnancy and maternal pregnancy complications among recently delivered women in Bangladesh. Aggressive Behavior, 44, 294305.CrossRefGoogle ScholarPubMed
Field, T., Hernandez-Reif, M., & Feijo, L. (2002). Breastfeeding in depressed mother-infant dyads. Early Child Development and Care, 172, 539545.CrossRefGoogle Scholar
Flanagan, J. C., Gordon, K. C., Moore, T. M., & Stuart, G. L. (2015). Women's stress, depression, and relationship adjustment profiles as they relate to intimate partner violence and mental health during pregnancy and postpartum. Psychology of Violence, 5, 66.CrossRefGoogle ScholarPubMed
Gartstein, M. A., Bridgett, D. J., Young, B. N., Panksepp, J., & Power, T. (2013). Origins of effortful control: Infant and parent contributions. Infancy, 18, 149183.10.1111/j.1532-7078.2012.00119.xCrossRefGoogle ScholarPubMed
Groves, A. K., Moodley, D., McNaughton-Reyes, L., Martin, S. L., Foshee, V., & Maman, S. (2015). Prevalence, rates and correlates of intimate partner violence among South African women during pregnancy and the postpartum period. Maternal and Child Health Journal, 19, 487495.10.1007/s10995-014-1528-6CrossRefGoogle ScholarPubMed
Henseler, J., & Chin, W.W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling, 17, 82109.CrossRefGoogle Scholar
Henseler, J., & Fassott, G. (2010). Testing moderating effects in PLS path models: An illustration of available procedures. In Henseler, J. & Fassott, G. (Eds.), Handbook of partial least squares (pp. 713735). Berlin: Springer.CrossRefGoogle Scholar
Hill, A., Pallitto, C., McCleary-Sills, J., & Garcia-Moreno, C. (2016). A systematic review and meta-analysis of intimate partner violence during pregnancy and selected birth outcomes. International Journal of Gynecology & Obstetrics, 133, 269276.10.1016/j.ijgo.2015.10.023CrossRefGoogle ScholarPubMed
Himani, B. K., & Kumar, P. (2011). Effect of initiation of breastfeeding within one hour of the delivery on maternal-infant bonding. Nursing and Midwifery Research Journal, 7, 99109.Google Scholar
Jonas, W., Atkinson, L., Steiner, M., Meaney, M. J., Wazana, A., Fleming, A. S., & MAVAN Research Team. (2015). Breastfeeding and maternal sensitivity predict early infant temperament. Acta Paediatrica, 104, 678686.10.1111/apa.12987CrossRefGoogle ScholarPubMed
Kastello, J. C., Jacobsen, K. H., Gaffney, K. F., Kodadek, M. P., Sharps, P. W., & Bullock, L. C. (2016). Predictors of depression symptoms among low-income women exposed to perinatal intimate partner violence (IPV). Community Mental Health Journal, 52, 683690.CrossRefGoogle Scholar
Khan, J., Vesel, L., Bahl, R., & Martines, J. C. (2015). Timing of breastfeeding initiation and exclusivity of breastfeeding during the first month of life: Effects on neonatal mortality and morbidity—A systematic review and meta-analysis. Maternal and Child Health Journal, 19, 468479.CrossRefGoogle Scholar
Kim, P., Feldman, R., Mayes, L. C., Eicher, V., Thompson, N., Leckman, J. F., & Swain, J. E. (2011). Breastfeeding, brain activation to own infant cry, and maternal sensitivity. Journal of Child Psychology and Psychiatry, 52, 907915.10.1111/j.1469-7610.2011.02406.xCrossRefGoogle ScholarPubMed
Laplante, D. P., Brunet, A., & King, S. (2015). The effects of maternal stress and illness during pregnancy on infant temperament: Project Ice Storm. Pediatric Research, 79, 107.CrossRefGoogle ScholarPubMed
Levendosky, A. A., Bogat, G. A., Lonstein, J. S., Martinez-Torteya, C., Muzik, M., Granger, D. A., & Von Eye, A. (2016). Infant adrenocortical reactivity and behavioral functioning: Relation to early exposure to maternal intimate partner violence. Stress, 19, 3744.CrossRefGoogle ScholarPubMed
Levendosky, A. A., Leahy, K. L., Bogat, G. A., Davidson, W. S., & von Eye, A. (2006). Domestic violence, maternal parenting, maternal mental health, and infant externalizing behavior. Journal of Family Psychology, 20, 544.CrossRefGoogle ScholarPubMed
Li, R., Scanlon, K. S., & Serdula, M. K. (2005). The validity and reliability of maternal recall of breastfeeding practice. Nutrition Reviews, 63, 103110.10.1111/j.1753-4887.2005.tb00128.xCrossRefGoogle ScholarPubMed
Lin, B., Crnic, K. A., Luecken, L. J., & Gonzales, N. A. (2014). Maternal prenatal stress and infant regulatory capacity in Mexican Americans. Infant Behavior and Development, 37, 571582.CrossRefGoogle ScholarPubMed
Martinez-Torteya, C., Bogat, G. A., Lonstein, J. S., Granger, D. A., & Levendosky, A. A. (2017). Exposure to intimate partner violence in utero and infant internalizing behaviors: Moderation by salivary cortisol-alpha amylase asymmetry. Early Human Development, 113, 4048.10.1016/j.earlhumdev.2017.07.014CrossRefGoogle ScholarPubMed
Miller-Graff, L. E., Ahmed, A. H., & Paulson, J. L. (2018). Intimate partner violence and breastfeeding outcomes in a sample of low-income women. Journal of Human Lactation. Advance online publication. doi:10.1177/0890334418776217CrossRefGoogle Scholar
Miller-Graff, L. E., Nuttall, A. K., & Lefever, J. E. (2018). Interpersonal violence during pregnancy: Enduring effects in the post-partum period and implications for the intergenerational transmission of risk. International Journal of Behavioral Development. Advance online publication. doi:10.1177/ 0165025418780358Google Scholar
Niegel, S., Ystrom, E., Hagtvet, K. A., & Vollrath, M. E. (2008). Difficult temperament, breastfeeding, and their mutual prospective effects: The Norwegian Mother and Child Cohort Study. Journal of Developmental & Behavioral Pediatrics, 29, 458462.CrossRefGoogle ScholarPubMed
Nolvi, S., Karlsson, L., Bridgett, D. J., Korja, R., Huizink, A. C., Kataja, E. L., & Karlsson, H. (2016). Maternal prenatal stress and infant emotional reactivity six months postpartum. Journal of Affective Disorders, 199, 163170.10.1016/j.jad.2016.04.020CrossRefGoogle ScholarPubMed
Peterson, C., Kearns, M. C., McIntosh, W. L., Estefan, L. F., Nicolaidis, C., McCollister, K. E., … Florence, C. (2018). Lifetime economic burden of intimate partner violence among US adults. American Journal of Preventive Medicine, 55, 433444.CrossRefGoogle Scholar
Prentice, J. C., Lue, M. C., Lange, L., & Halfon, N. (2002). The association between reported childhood sexual abuse and breastfeeding initiation. Journal of Human Lactation, 18, 219226.CrossRefGoogle ScholarPubMed
Putnam, S. P., Helbig, A. L., Gartstein, M. A., Rothbart, M. K., & Leerkes, E. (2014). Development and assessment of short and very short forms of the Infant Behavior Questionnaire—Revised. Journal of Personality Assessment, 96, 445458.10.1080/00223891.2013.841171CrossRefGoogle Scholar
Quinlivan, J. A., & Evans, S. F. (2005). Impact of domestic violence and drug abuse in pregnancy on maternal attachment and infant temperament in teenage mothers in the setting of best clinical practice. Archives of Women's Mental Health, 8, 191199.10.1007/s00737-005-0079-7CrossRefGoogle ScholarPubMed
Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385401.10.1177/014662167700100306CrossRefGoogle Scholar
Reichenheim, M. E., Moraes, C. L., Howard, L. M., & Lobato, G. (2017). Childhood sexual abuse, intimate partner violence during pregnancy, and posttraumatic stress symptoms following childbirth: A path analysis. Archives of Women's Mental Health, 20, 297309.Google Scholar
Rempel, L. A., Rempel, J. K., & Moore, K. C. (2018). Relationships between types of father breastfeeding support and breastfeeding outcomes. Maternal & Child Nutrition, 13, e12337.10.1111/mcn.12337CrossRefGoogle Scholar
Rothbart, M. K. (1986). Longitudinal observation of infant temperament. Developmental Psychology, 22, 356.10.1037/0012-1649.22.3.356CrossRefGoogle Scholar
Sayal, K., Heron, J., Maughan, B., Rowe, R., & Ramchandani, P. (2014). Infant temperament and childhood psychiatric disorder: Longitudinal study. Child: Care, Health and Development, 40, 292297.Google ScholarPubMed
Shin, T., Davison, M. L., & Long, J. D. (2017). Maximum likelihood versus multiple imputation for missing data in small longitudinal samples with nonnormality. Psychological Methods, 22, 426.10.1037/met0000094CrossRefGoogle ScholarPubMed
Silverman, J. G., Decker, M. R., Reed, E., & Raj, A. (2006). Intimate partner violence victimization prior to and during pregnancy among women residing in 26 US states: Associations with maternal and neonatal health. American Journal of Obstetrics and Gynecology, 195, 140148.CrossRefGoogle Scholar
Simcock, G., Elgbeili, G., Laplante, D. P., Kildea, S., Cobham, V., Stapleton, H., … King, S. (2017). The effects of prenatal maternal stress on early temperament: The 2011 Queensland Flood Study. Journal of Developmental & Behavioral Pediatrics, 38, 310321.CrossRefGoogle ScholarPubMed
Straus, M. A., Hamby, S. L., Boney-McCoy, S., & Sugarman, D. B. (1996). The revised conflict tactics scales (CTS2) development and preliminary psychometric data. Journal of Family Issues, 17, 283316.10.1177/019251396017003001CrossRefGoogle Scholar
Tharner, A., Luijk, M. P., Raat, H., van IJzendoorn, M. H., Bakermans-Kranenburg, M. J., Moll, H. A., … Tiemeier, H. (2012). Breastfeeding and its relation to maternal sensitivity and infant attachment. Journal of Developmental & Behavioral Pediatrics, 33, 396404.CrossRefGoogle ScholarPubMed
Thompson, R. S., Bonomi, A. E., Anderson, M., Reid, R. J., Dimer, J. A., Carrell, D., & Rivara, F. P. (2006). Intimate partner violence: Prevalence, types, and chronicity in adult women. American Journal of Preventive Medicine, 30, 447457.CrossRefGoogle ScholarPubMed
Wallenborn, J. T., Cha, S., & Masho, S. W. (2018). Association between intimate partner violence and breastfeeding duration: Results from the 2004–2014 Pregnancy Risk Assessment Monitoring System. Journal of Human Lactation, 34, 233241.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Hypothesized model. Controls include infant age and prenatal maternal depression.

Figure 1

Table 1. Intimate partner violence exposure frequency by subscale

Figure 2

Table 2. Descriptive statistics and correlations for main study variables

Figure 3

Figure 2. Full model. Controls include infant age and prenatal maternal depression. **p < .01. ***p < .001.

Figure 4

Table 3. Multivariate regression analysis