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BMC Pregnancy and Childbirth logoLink to BMC Pregnancy and Childbirth
. 2019 Oct 16;19:357. doi: 10.1186/s12884-019-2527-9

Intimate partner violence identified through routine antenatal screening and maternal and perinatal health outcomes

Karina Chaves 1,2, John Eastwood 3,4,5,6,7, Felix A Ogbo 4,8, Alexandra Hendry 4,9, Bin Jalaludin 4,10, Sarah Khanlari 11, Andrew Page 8,
PMCID: PMC6796368  PMID: 31619194

Abstract

Background

This study investigated the association between intimate partner violence (IPV) identified on routine prenatal screening and perinatal outcomes for mother and infant.

Methods

Routinely collected perinatal data for a cohort of all women and their infants born in public health facilities in Sydney (Australia) over the period 2014–2016 (N = 52,509) were analysed to investigate the risk of adverse maternal and perinatal outcomes associated with a history of IPV. The association between an affirmative response on prenatal IPV screening and low birth weight (LBW) < 2.5 kg, preterm birth < 37 weeks, breastfeeding indicators and postnatal depressive symptoms (PND) was investigated in a series of logistic regression models.

Results

IPV was associated with an increased risk of PND (OR = 2.53, 95% CI 1.76–3.63), not breastfeeding at birth (OR = 1.65, 95% CI 1.30–2.09), non-exclusive breastfeeding at discharge (OR = 1.66, 95% CI 1.33–2.07) and first post-natal visit (OR = 1.54, 95% CI 1.24–1.91). Self-reported fear of a partner was strongly associated with an increased risk of PND (OR = 3.53, 95% CI 2.50–5.00), and also LBW (OR = 1.58, 95% CI 1.12–2.22), preterm birth (OR = 1.38, 95% CI 1.08–1.76), lack of early initiation of breastfeeding (OR = 1.67, 95% CI 1.28–2.17), non-exclusive breastfeeding at discharge from hospital (OR = 1.60, 95% CI 1.24–2.06) and at the first post-natal visit (OR = 1.27, 95% CI 0.99–3.04).

Conclusions

IPV reported at the time of pregnancy was associated with adverse infant and maternal health outcomes. Although women may be disinclined to report IPV during pregnancy, universal, routine antenatal assessment for IPV is essential for early identification and appropriate management to improve maternal and newborn health.

Keywords: Intimate partner violence, Prenatal screening, Antenatal, Postnatal depression, Breastfeeding, Australia

Introduction

Intimate-partner violence (IPV) is defined as physical violence, sexual violence, stalking or psychological aggression by a current or former partner. IPV affects 1 to 28% of pregnant women worldwide, with the majority of studies indicating a prevalence of 3–9%, [1] with a higher reported prevalence among the general population of women (~ 30%), and a higher proportion of IPV among lower (compared to higher) income regions [2].

IPV screening, routinely conducted in the Australian context, [3] has been shown to increase the identification rates of women experiencing IPV, although this does not result in a commensurate increase in referrals to specialist services, with the long-term health benefits to women unknown [4]. Two recent meta-analyses have found that women who experience IPV during pregnancy are at increased risk of preterm birth and low birth weight neonates [5, 6]. Heterogeneous study findings could be attributed to differences in the assessment of IPV exposure and the selection of study populations, with subsequent limitations to generalisability of the findings. These previous studies have reported an association between IPV during pregnancy and increased risk of preterm birth and low birth weight, but with limitations relating to selection and recall bias.

Previous studies examining the impact of IPV among non-pregnant women have been conducted in the Australian context, and have focussed on post-traumatic psychiatric morbidity [7] and sustained physical injuries [8, 9]. The few Australian studies that have reported on IPV at the time of pregnancy, indicate a weak or no association between IPV during pregnancy and adverse birth outcomes [1012].

In New South Wales (NSW), Australia, mandatory routine IPV screening in prenatal clinics commenced in 2001 with the aim of increasing identification of IPV, ensuring early specialist referral and the promotion of strategic interventions. Accordingly, this study aims to investigate the association between recent or current IPV and the maternal and perinatal outcomes of postnatal depressive symptoms, low birth weight, preterm birth and exclusive breastfeeding.

Methods

Data source

This study used a retrospective perinatal data set of all live births for the period 2014–2016 (N = 52,509) in public health facilities in Sydney Local Health District (SLHD) and South Western Sydney Local Health District (SWSLHD) (a total of 7 hospitals). Maternal prenatal data including socio-demographic information, history of previous pregnancies, history of maternal tobacco or alcohol use and history of IPV were collected at the first prenatal care visit by qualified midwives across both health districts. Postnatal data were collected at the post-birth visit by qualified nurses and were stored in the Information Management & Technology Division (IM&TD) database of each health district. Both prenatal and postnatal data were obtained with ethics approval and were linked, using unique individual identifiers. Ethics approvals were obtained from the South Western Sydney Local Health District and Sydney Local Health District Ethics Committees to conduct data linkage provided that data remained anonymous. (Approval numbers HREC: LNR/11/LPOOL/463; SSA: LNRSSA/11/LPOOL/464 & Project No: 11/276 LNR; Protocol No X17–0454 & LNR/12/RPAH/266).

Study setting

The geographic area of SWSLHD and SLHD captures approximately 52% of the Sydney metropolitan region and represents a population catchment of approximately 1,621,000 people. The study population captures approximately 80% of all women who had live births in the geographic area during the study time period, excluding those who opted to have their obstetric care delivered in the private sector. SWSLHD and SLHD are ethnically diverse, with more than a third of people born outside Australia, and represents heterogeneous socio-economic characteristics.

Intimate partner violence

The main exposure variables were (i) self-reported physical abuse by an intimate partner in the previous 12 months and (ii) self-reported fear of a partner or ex-partner at the time of pregnancy. This information is routinely collected at the first obstetric care visit for women according to the NSW Routine Domestic Violence Screening Policy. Women are asked:

  • (i)

    “Within the last year have you been hit, slapped or hurt in other ways by your partner or ex-partner?”

  • (ii)

    “Are you frightened of your partner or ex-partner?”

These two questions were taken from the Abuse Assessment Screen (AAS), a brief validated screening tool that is used extensively among pregnant women [13]. The NSW Routine Domestic Violence Screening questions have been shown to increase identification of women experiencing IPV in prenatal clinics in Australia and evaluation has shown the questions are deemed acceptable by most women [3].

IPV was categorized as a binary variable. An affirmative answer for question (i) was considered to be an indicator of recent IPV. An affirmative answer to question (ii) was considered to be an indicator of current fear of a partner or ex-partner. Women were not screened, as per NSW Health protocol, if another person, including the partner, was present, if the woman declined, if the woman was not well enough to answer questions, or where an interpreter was not available (for women whose first language was not English) (total missing responses was 8848 (16.9%) and 9165 (17.5%) for questions (i) and (ii) respectively).

Outcome variables

A series of outcome variables were defined relating to birth outcomes, postnatal depressive symptoms and exclusive breastfeeding. Each outcome was selected for their demonstrated impact on infant and childhood physical and neurocognitive development. The outcome data were collected according to the New South Wales Perinatal Data Collection guidelines, which is a population-based surveillance system covering all births in NSW public and private hospitals, as well as home births [14].

Birth outcomes

Low birth weight (LBW) was defined as singleton birth weight < 2.5 kg with the binary outcome being normal singleton birth weight ≥ 2.5 kg. Premature birth was defined as a live birth < 37 weeks gestation with the binary outcome being term birth ≥37 weeks. Gestational age at birth was specified in the electronic neonatal record and based on an estimation from the first day of the last menstrual period, maternal dating ultrasound or clinical examination of the infant as per NSW Perinatal Collection guidelines.

Breastfeeding indicators

Breastfeeding outcomes were treated as binary variables and were derived at three-time points – initiation of breastfeeding at the time of birth, exclusive breastfeeding at the time of discharge from hospital and exclusive breastfeeding at the first postnatal visit (between 0 and 6 weeks, with the first postnatal visit occurring in 0–2 weeks among approximately 66% of women). Early initiation of breastfeeding was defined as the introduction of breastmilk within the first hour of birth. Exclusive breastfeeding was defined as infants aged 0–5 months who received only breastmilk (including expressed breastmilk) and included infants who required oral rehydration solution or medications. Infant feeding definitions were based on National Health and Medical Research Council (NHMRC) infant feeding guidelines, [15] consistent with the World Health Organization definitions for assessing infant feeding practices [16]. Non-exclusive breastfeeding was defined as infants aged 0–5 months who received other liquids such as infant formula, water or water-based juices.

Postnatal depression

Postnatal depressive symptoms were based on the Edinburgh Postnatal Depression Scale (EPDS) [17] which was completed at the first postnatal visit within the first six weeks after birth. The EPDS rates the severity of depressive symptoms in the preceding seven days exploring items such as dysphoric mood, anxiety, guilt and suicidal thoughts. The number of depressive symptoms was calculated to obtain a total score out of 30. EPDS scores were coded as a categorical variable with scores > 12 indicating significant depressive symptomatology [18]. The EPDS is a validated screening tool within Australia, [19] and can be applied in multiple languages [20].

Statistical analyses

The association between previous IPV and self-reported fear of partner or ex-partner was investigated in a series of logistic regression models for the following outcomes: (i) low birth weight (< 2.5 kg) (ii) preterm birth (< 37 weeks) (iii) lack of initiation of breastfeeding at birth, lack of exclusive breastfeeding at discharge from hospital and at the first postnatal visit and (iv) postnatal depressive symptoms (EPDS > 12). Univariate models investigated the association between positive screening for physical IPV or self-reported fear of partner and perinatal outcomes, followed by multivariate models incorporating the following confounders: antenatal depressive symptoms, maternal age, socio-economic status, indigenous status, maternal body mass index (BMI), alcohol consumption during pregnancy, smoking during pregnancy, history of antenatal medical problems and intervention at birth.

Missing data

Missing data analyses using multivariate imputation by chained equations (MICE) [21] were conducted to investigate the potential impact of incomplete information on study factors and confounders in a series of sensitivity analyses (Fig. 1). MICE assumes that known characteristics of participants can be used to estimate the characteristics of individuals with missing data and that data are Missing At Random (MAR) [22]. Revised measures of association are estimated from imputed data, which can then be compared with associations observed in the complete case analysis. The imputed dataset was based on the original cohort comprising complete outcome data for each outcome of interest. All outcome and study variables in the analysis as described above were included in the multiple imputation modelling, as well as additional variables available on the dataset. These additional variables included BMI, Apgar score, language spoken at home, hospital of birth, maternal history of child abuse, offspring sex, baby birth weight in grams and gestational age in weeks. Multiple imputation was conducted using the ice command in Stata (Stata Corp, V.14.0, College Station, TX, USA) and based on 20 multiple imputations [23]. Revised odds ratios were generated using the mim command to combine estimates across the 20 multiply imputed datasets.

Fig. 1.

Fig. 1

Flow chart of available data on self-reported domestic violence, birth outcomes, and breast feeding behaviours in Central and South Western Sydney mothers (N = 17,564) of new born children (2014)

Results

The prevalence of self-reported IPV at the time of pregnancy was 1.8% (95% CI: 1.7–1.9%) and self-reported fear of partner was 1.4% (95% CI: 1.3–1.5%) in the cohort. The prevalence of LBW was 5.9% and premature birth was 13.8%. The prevalence of PND was 3.1% (Table 1). The prevalence of delayed initiation of breastfeeding at birth was 10.1%, while the prevalence of non-exclusive breastfeeding at discharge from hospital was 10.5 and 16.2% at the first postnatal visit (Table 2).

Table 1.

Prevalence of self-reported domestic violence and birth outcomes by study factor

Post-natal depression Low birth weight Gestational age
Cases Participants % Cases Participants % Case Participants %
Total 1272 40,558 3.1 3075 52,419 5.9 7213 52,163 13.8
Physical abuse by partner
 No 826 28,596 2.9 1627 35,865 4.5 4311 35,696 12.1
 Yes 33 477 6.9 41 628 6.5 84 622 13.5
Frightened of partner
 No 822 28,679 2.9 1631 35,996 4.5 4314 35,823 12.0
 Yes 37 394 9.4 37 497 7.4 81 495 16.4
Ante-natal depressive symptom
 No 594 27,361 2.2 1524 34,381 4.4 4096 34,213 12.0
 Yes 265 1712 15.5 144 2112 6.8 299 2105 14.2
Maternal age-group
  < 20 years 787 27,128 2.9 1516 34,018 4.5 4013 33,859 11.9
 20–39 years 60 1497 4.0 112 1911 5.9 299 1901 15.7
  > 40 years 12 448 2.7 40 564 7.1 83 558 14.9
SES category
 High 394 11,411 3.5 713 14,770 4.8 1765 14,692 12.0
 Middle 380 14,370 2.6 794 17,478 4.5 2130 17,395 12.2
 Low 85 3292 2.6 161 4245 3.8 500 4231 11.8
Australian-born
 No 342 13,734 2.5 748 17,014 4.4 2042 16,913 12.1
 Yes 517 15,339 3.4 920 19,479 4.7 2353 19,405 12.1
BMI category
 Underweight 458 15,965 2.9 938 20,021 4.7 2291 19,949 11.5
 Normal Weight 50 1711 2.9 168 2176 7.7 300 2160 13.9
 Overweight 220 6687 3.3 329 8357 3.9 995 8306 12.0
 Obese 131 4710 2.8 233 5939 3.9 809 5903 13.7
Ante-natal problems
 No 704 24,699 2.9 1300 30,801 4.2 3510 30,646 11.5
 Yes 155 4374 3.5 368 5692 6.5 885 5672 15.6
Intervention at birth
 No 722 25,471 2.8 1122 31,943 3.5 3408 31,788 10.7
 Yes 137 3602 3.8 546 4550 12.0 987 4530 21.8
Alcohol consumption
 No 850 28,622 3.0 1648 35,919 4.6 4325 35,745 12.1
 Yes 9 451 2.0 20 574 3.5 70 573 12.2
Smoking
 No 486 27,018 1.8 1431 33,679 4.2 3962 33,521 11.8
 Yes 73 2055 3.6 237 2814 8.4 433 2797 15.5

Table 2.

Prevalence of self-reported domestic violence and breast feeding indicators by study factor

No breastfeeding at birth No breastfeeding at discharge No breastfeeding at first postnatal visit
Cases Participants % Cases Participants % Cases Participants %
Total 4516 44,868 10.1 5213 49,527 10.5 1464 9053 16.2
Domestic violence in previous 12 months
 No 826 28,596 2.9 1627 35,865 4.5 4311 35,696 12.1
 Yes 33 477 6.9 41 628 6.5 84 622 13.5
Domestic violence: scared of partner
 No 822 28,679 2.9 1631 35,996 4.5 4314 35,823 12.0
 Yes 37 394 9.4 37 497 7.4 81 495 16.4
Ante-natal depressive symptom
 No 594 27,361 2.2 1524 34,381 4.4 4096 34,213 12.0
 Yes 265 1712 15.5 144 2112 6.8 299 2105 14.2
Maternal age-group
  < 20 years 787 27,128 2.9 1516 34,018 4.5 4013 33,859 11.9
 20–39 years 60 1497 4.0 112 1911 5.9 299 1901 15.7
  > 40 years 12 448 2.7 40 564 7.1 83 558 14.9
SES category
 High 394 11,411 3.5 713 14,770 4.8 1765 14,692 12.0
 Middle 380 14,370 2.6 794 17,478 4.5 2130 17,395 12.2
 Low 85 3292 2.6 161 4245 3.8 500 4231 11.8
Australian-born
 No 342 13,734 2.5 748 17,014 4.4 2042 16,913 12.1
 Yes 517 15,339 3.4 920 19,479 4.7 2353 19,405 12.1
BMI category
 Underweight 458 15,965 2.9 938 20,021 4.7 2291 19,949 11.5
 Normal Weight 50 1711 2.9 168 2176 7.7 300 2160 13.9
 Overweight 220 6687 3.3 329 8357 3.9 995 8306 12.0
 Obese 131 4710 2.8 233 5939 3.9 809 5903 13.7
Ante-natal problems
 No 704 24,699 2.9 1300 30,801 4.2 3510 30,646 11.5
 Yes 155 4374 3.5 368 5692 6.5 885 5672 15.6
Intervention at birth
 No 722 25,471 2.8 1122 31,943 3.5 3408 31,788 10.7
 Yes 137 3602 3.8 546 4550 12.0 987 4530 21.8
Alcohol intake code
 No 850 28,622 3.0 1648 35,919 4.6 4325 35,745 12.1
 Yes 9 451 2.0 20 574 3.5 70 573 12.2
s
 No 486 27,018 1.8 1431 33,679 4.2 3962 33,521 11.8
 Yes 73 2055 3.6 237 2814 8.4 433 2797 15.5

IPV was associated with not breastfeeding at birth (OR = 1.65, 95% CI: 1.30–2.09, P = < 0.001), non-exclusive breastfeeding at discharge (OR = 1.66, 95% CI: 1.33–2.07, P < 0.001) and at the first post-natal visit (OR = 1.54, 95% CI: 1.24–1.91, P < 0.001), following adjustment for confounders in the complete case analysis (Table 3). IPV was associated with postnatal depressive symptoms (OR = 2.53, 95% CI: 1.76–3.63, P < 0.001), and to a lesser extent LBW (OR = 1.34, 95% CI: 0.97–1.85, P = 0.077) and premature birth (OR = 1.09, 95% CI: 0.86–1.38, P = 0.464) (Table 3). Analyses of imputed data for missing confounders showed a similar pattern of associations, with slightly stronger associations evident between physical IPV and study outcomes.

Table 3.

Associations between self-reported experience of physical abuse in the past 12-months and post-natal depression, birth outcomes, and breast feeding behaviours in South Western Sydney and Sydney Local Health Districts in 2014 (N = 17,564)

Complete case Multiple imputation.
n N % OR (95% CI) (a) P value OR (95% CI) (b) P value OR (95% CI) (a) P value OR (95% CI) (b) P value
Postnatal depressive symptom
 Experience of domestic violence
  No 826 28,596 2.9 1.00 1.00 1.00 1.00
  Yes 33 477 6.9 2.50 (1.74–3.58) < 0.001 2.53 (1.76–3.63) < 0.001 3.11 (2.28–4.24) < 0.001 3.11 (2.28–4.24) < 0.001
Low birth weight (< 2500 g)
 Experience of domestic violence.
  No 1627 35,865 4.5 1.00 1.00 1.00 1.00
  Yes 41 628 6.5 1.47 (1.07–2.03) 0.019 1.34 (0.97–1.85) 0.077 1.70 (1.32–2.20) < 0.001 1.57 (1.21–2.02) 0.001
Gestational age (< 37 weeks)
 Experience of domestic violence.
  No 4311 35,696 12.1 1.00 1.00 1.00 1.00
  Yes 84 622 13.5 1.14 (0.90–1.43) 0.279 1.09 (0.86–1.38) 0.464 1.32 (1.06–1.64) 0.014 1.26 (1.02–1.57) 0.035
No early initiation of breast feeding
 Experience of domestic violence
  No 3168 31,076 10.2 1.00 1.00 1.00 1.00
  Yes 88 513 17.2 1.82 (1.45–2.30) < 0.001 1.65 (1.30–2.09) < 0.001 1.90 (1.52–2.37) < 0.001 1.65 (1.31–2.07) < 0.001
Non-EBF at discharge.
 Experience of domestic violence.
  No 3617 34,183 10.6 1.00 1.00 1.00 1.00
  Yes 103 563 18.3 1.89 (1.52–2.35) < 0.001 1.66 (1.33–2.07) < 0.001 2.01 (1.64–2.47) < 0.001 1.71 (1.39–2.12) < 0.001
Non-EBF at first post-natal visit
 Experience of domestic violence
  No 4633 30,895 15.0 1.00 1.00 1.00 1.00
  Yes 122 518 23.6 1.75 (1.42–2.14) < 0.001 1.54 (1.24–1.91) < 0.001 1.93 (1.60–2.33) < 0.001 1.66 (1.36–2.02) < 0.001

Notes: (a): Unadjusted Odds Ratio (b): Adjusted for maternal age, socio-economic status, Indigenous status, alcohol consumption during pregnancy, smoking during pregnancy, body mass index, history of antenatal problems, antenatal depression, and intervention during birth

The magnitude of associations between self-reported fear of intimate partner at the time of pregnancy were slightly stronger for study outcomes, compared to physical intimate partner violence (Table 4). Self-reported current fear of partner was strongly associated with postnatal depressive symptoms (OR = 3.53, 95% CI: 2.50–5.00, P < 0.001) following adjustment for confounders (Table 4). Similarly, self-reported fear of partner was associated with not initiating breastfeeding at birth (OR = 1.67, 95% CI 1.28–2.17, P < 0.001), non-exclusive breastfeeding at discharge from hospital (OR = 1.60, 95% CI: 1.24–2.06, P < 0.001) and at the first postnatal visit (OR = 1.27, 95% CI: 0.99–1.64, P = 0.060), following adjustment for confounders (Table 4). Self-reported fear of partner was associated with premature birth (OR = 1.38, 95% CI: 1.08–1.76, P = 0.009), and LBW (OR = 1.58, 95% CI: 1.12–2.22, P = 0.009) (Table 4). Analyses of imputed data for missing confounders showed a similar pattern of associations between self-reported fear of partner and study outcomes.

Table 4.

Associations between self-reported fear of partner or ex-partner and post-natal depression, birth outcomes, and breast feeding behaviours in South Western Sydney and Sydney Local Health Districts in 2014 (N = 17,564)

Complete case Multiple imputation.
n N % OR (95% CI) (a) P value OR (95% CI) (b) P value OR (95% CI) (a) P value OR (95% CI) (b) P value
Postnatal depressive symptom
 Fear of partner or ex-partner
  No 822 28,679 2.9 1.00 1.00 1.00 1.00
  Yes 37 394 9.4 3.51 (2.49–4.96) < 0.001 3.53 (2.50–5.00) < 0.001 4.06 (2.94–5.59) < 0.001 4.04 (2.93–5.58) < 0.001
Low birth weight (< 2500 g)
 Fear of partner or ex-partner
  No 1631 35,996 4.5 1.00 1.00 1.00 1.00
  Yes 37 497 7.4 1.69 (1.21–2.38) 0.002 1.58 (1.12–2.22) 0.009 1.79 (1.36–2.35) < 0.001 1.65 (1.25–2.17) < 0.001
Gestational age (< 37 weeks)
 Fear of partner or ex-partner
  No 4314 35,823 12.0 1.00 1.00 1.00 1.00
  Yes 81 495 16.4 1.43 (1.12–1.82) 0.004 1.38 (1.08–1.76) 0.009 1.52 (1.21–1.91) < 0.001 1.45 (1.15–1.82) 0.002
No early initiation of breast feeding
 Fear of partner or ex-partner
  No 3185 31,166 10.2 1.00 1.00 1.00 1.00
  Yes 71 423 16.8 1.77 (1.37–2.29) < 0.001 1.67 (1.28–2.17) < 0.001 1.83 (1.46–2.30) < 0.001 1.63 (1.29–2.06) < 0.001
Non-EBF at discharge.
 Fear of partner or ex-partner
  No 3642 34,288 10.6 1.00 1.00 1.00 1.00
  Yes 78 458 17.0 1.73 (1.35–2.21) < 0.001 1.60 (1.24–2.06) < 0.001 1.92 (1.53–2.40) < 0.001 1.69 (1.33–2.13) < 0.001
Non-EBF at first post-natal visit.
 Fear of partner or ex-partner
  No 4672 30,996 15.1 1.00 1.00 1.00 1.00
  Yes 83 417 19.9 1.40 (1.10–1.78) 0.006 1.27 (0.99–1.64) 0.060 1.68 (1.36–2.08) < 0.001 1.45 (1.16–1.81) < 0.001

Notes: (a): Unadjusted Odds Ratio (b): Adjusted for maternal age, socio-economic status, Indigenous status, alcohol consumption during pregnancy, smoking during pregnancy, body mass index, history of antenatal problems, antenatal depression, and intervention during birth

Discussion

This study showed an association between intimate partner violence at the time of pregnancy and an increased risk of LBW, premature birth, postnatal depressive symptoms and delayed initiation of breastfeeding and non-exclusive breastfeeding.

The prevalence of physical IPV experienced within the past year by women and reported at the time of pregnancy in this study was 1.8% and self-reported current fear of partner was 1.4% which is lower than the prevalence of IPV in pregnancy recorded in previous studies in the United States [2426] and Australia [10, 11, 27]. The variation in prevalence estimates can be attributed to different measures to assess IPV exposure and differences in the ethnic and socioeconomic characteristics of the population samples. Variation in IPV prevalence likely reflects recall bias associated with self-reported measures of IPV, different reference periods for reporting IPV (e.g. period versus lifetime prevalence measures), and which may also be differential by socio-demographic groups and population samples. Janssen et al., [28] conducted a population-based study in Canada (N = 4750) which used similar IPV screening questions to the current study and found comparable prevalence for physical IPV and self-reported fear of partner, and found a similar association for pre-term delivery.

Findings linking IPV at the time of pregnancy and an increased risk of LBW and premature birth are also consistent with recent meta-analyses [5, 6] which showed an association between IPV during pregnancy and LBW and premature birth. One of the meta-analyses explored associations between physical and sexual IPV [5] unlike our study which did not explore sexual IPV specifically.

Many of the previous studies that showed an association between IPV and study outcomes were cross-sectional or case-control designs. Previous cohort studies that showed an association also differed from the present study, in that they were conducted in lower-income populations, [29] recruited smaller population samples [30]. or selected population samples presenting to hospital or police after reporting IPV [10, 31, 32]. Other cohort studies have not shown an association between IPV at the time of pregnancy and low birth weight and preterm birth [33]. The present study is one of the largest population-based cohort studies to find an association between IPV and birth outcomes, despite its low prevalence in the cohort. This prevalence is likely an under-estimate of IPV in this population, and likely reflects under-reporting perhaps due to a fear that the partner may find out that IPV has been reported, or that health or community services may intervene.

Our finding of an association between IPV reported at the time of pregnancy and postnatal depressive symptoms was consistent with previous studies. Unlike previous studies, [3436] this strong association did not attenuate substantially following adjustment for confounders (including antenatal depressive symptoms). Antenatal depressive symptoms has also been shown in this population sample to be associated with adverse birth outcomes [37].

The findings that physical IPV and self-reported fear are associated with failure to initiate and sustain exclusive breastfeeding has also been previously reported [38]. This finding is in contrast to previous Australian [39] and American [40] studies which have investigated the association between IPV in pregnancy and breastfeeding outcomes, but did not show a consistent association in analyses when adjusting for confounders (ORs ~ 0.7 to 1.5). The present study found that self-reported fear of partner at the time of pregnancy had a stronger association with adverse outcomes compared to self-reported physical abuse in the previous 12 months. Current self-reported fear of partner could be perceived by women to relate to a broader range of experience of IPV which includes emotional, physical and/or sexual abuse. Combined types of IPV in pregnancy have been shown to have stronger associations with adverse perinatal outcomes [5, 6]. Additionally, the exposure of current fear of partner in pregnancy was more proximate to birth outcomes, compared to the screening question of previous physical abuse, which may have increased the associations with study outcomes.

The findings of the current study have important public health implications given that IPV is estimated to affect a third of women worldwide. Women who experience current self-reported fear of intimate partner in pregnancy are more likely to deliver an infant at biological risk for premature birth or LBW, potentially leading to poorer neurodevelopmental outcomes for children. Women who experience IPV in pregnancy are also more likely to experience PND. PND creates an environmental risk for adverse neurodevelopmental outcomes by impacting on infant attachment, feeding, behavioural regulation and long-term cognitive development [41, 42]. Breastfeeding can be a protective factor in establishing mother-infant attachment and other infant health outcomes [43] but this study shows that this is less likely to occur if IPV has been experienced perinatally.

In NSW, Australia, health professionals follow a specified protocol on how to respond to women disclosing IPV at the time of prenatal screening. Responses include risk assessment, safety planning, information and referral to domestic violence support services. Our findings would urge health professionals to ensure evidence-based interventions targeting antenatal depression, PND and breastfeeding difficulties are included in perinatal care services for women identified on prenatal IPV screening.

Evidence of the effectiveness of current interventions in reducing and preventing domestic violence for women, as well as impacts on maternal and infant health outcomes, has not been clearly demonstrated [44, 45]. Barriers to providing effective responses to those experiencing IPV are varied and may include psychiatric comorbidity, distrust of services and lack of multi-agency collaboration. Women experiencing IPV often access multiple agencies including legal, police, financial, housing, child protection, health and domestic violence services for themselves and their children. Models of care that incorporate integrated, multi-agency teams to provide ‘wrap-around’ services for vulnerable mothers and infants are promising in this setting and evaluation of these interventions for women experiencing IPV would be worthwhile.

This study has a number of strengths. Firstly, the cohort sample size was large and based on a community sample limiting the possibility of selection bias and allowing generalization to other Australian states and territories. Secondly, the potential selection bias due to missing data was investigated in a sensitivity analysis, which showed that missing data were unlikely to have affected the magnitude of associations substantially. Thirdly, some of our outcome measures were based on validated tools in our screening population (EPDS) or were objective measures of infant health outcomes (e.g. LBW, gestational age).

Our study has several limitations. Firstly, the method to assess IPV exposure was based on the validated Abuse Assessment Screen, however questions chosen for the NSW Routine Domestic Violence Screen have not been independently validated. Our study would support the recommendations by Spangaro et al. [45] that a validated screening tool for IPV in pregnancy be piloted in the Australian population and compared to the current screening tool. Secondly, methods to assess breastfeeding were based on a combination of direct observation by maternity unit staff and self-report. This could lead to reporter and measurement bias in quantifying exclusive breastfeeding and affect the magnitude of associations found.

Thirdly, it is likely that there are a number of unmeasured confounders that may have impacted on study outcomes such as multi-parity, substance abuse and experience of IPV in the postnatal period. Previous research has shown a high correlation between IPV experienced in the prenatal and postnatal periods [46]. Data on exposure to IPV by women are routinely collected during the postnatal period in our study population and would be useful in future analyses.

Conclusion

Women who report IPV at the time of pregnancy are at increased risk for development of depressive symptoms and their infants are at biological and environmental risk for poorer developmental outcomes. Health professionals who identify IPV during prenatal screening should be mindful of the likely impact of postnatal depression and breastfeeding difficulties on the mother-child dyad. For women experiencing IPV in pregnancy, further research into multi-agency integrated care models that provide assistance and support throughout the perinatal period is needed.

Acknowledgements

The authors are grateful to all the health professionals in South Western Sydney Local Health Districts and Sydney Local Health District who spent time entering the data, and also to personnel in the Information Management & Technology Division for the time spent on generating the data for this analysis.

The authors would also like to acknowledge Prof. Bryanne Barnett provided comments and suggestions on an earlier draft of this manuscript, and Dr. Sabrina Naz for assistance in preparation of study datasets.

Authors’ contributions

KC was involved in the conception, design, interpretation of data, and drafted the article. JE was involved in the conception and design of the study, acquisition and interpretation of data, and critical revisions of the article. FAO was involved in the drafting and critical revision of the article, interpretation and analysis of data. AH and BJ were involved in the acquisition of data and the drafting and critical revision of the article. AP was involved in the conception and design of the article, conducted the analyses and interpretation of the data, and critical revisions of the article. SK was involved in the drafting and critical revision of the article. All authors have given final approval for the article to be published, and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Funding

Not applicable

Availability of data and materials

The data that support the findings of this study are available from South Western Sydney Local Health District and Sydney Local Health District but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the NSW Ministry of Health Data Custodian.

Ethics approval and consent to participate

Details on ethics approvals are provided in the main body of the Methods section of the manuscript. Ethics approvals were obtained from the South Western Sydney Local Health District and Sydney Local Health District Ethics Committees to conduct data linkage providing data used remained anonymous. (Approval numbers HREC: LNR/11/LPOOL/463; SSA: LNRSSA/11/LPOOL/464 & Project No: 11/276 LNR; Protocol No X17–0454 & LNR/12/RPAH/266).

Consent for publication

Not applicable. No information on an individual person is presented in the current study.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Karina Chaves, Email: Karina.Chaves@awh.org.au.

John Eastwood, Email: John.Eastwood@sswahs.nsw.gov.au.

Felix A. Ogbo, Email: f.ogbo@westernsydney.edu.au

Alexandra Hendry, Email: Alexandra.Hendry@health.nsw.gov.au.

Bin Jalaludin, Email: Bin.Jalaludin@sswahs.nsw.gov.au.

Sarah Khanlari, Email: Sarah.Khanlari@health.nsw.gov.au.

Andrew Page, Email: a.page@westernsydney.edu.au.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available from South Western Sydney Local Health District and Sydney Local Health District but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the NSW Ministry of Health Data Custodian.


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