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International Breastfeeding Journal

  • Research
  • Open Access

Prevalence and determinants of cessation of exclusive breastfeeding in the early postnatal period in Sydney, Australia

  • 1, 2Email author,
  • 2, 3, 4, 5, 6, 7,
  • 1, 2,
  • 2, 8,
  • 2, 9,
  • 2, 10,
  • 2, 6,
  • 2, 6,
  • 2, 11,
  • 2, 6,
  • 2, 6,
  • 2, 6,
  • 2, 17,
  • 2, 18,
  • 2, 6,
  • 2, 12,
  • 2,
  • 2, 6,
  • 2, 13,
  • 2, 14, 19,
  • 2, 3, 15,
  • 2, 9,
  • 2, 9,
  • 2, 16 and
International Breastfeeding Journal201712:16

https://doi.org/10.1186/s13006-017-0110-4

©  The Author(s). 2017

Received: 2 February 2017

Accepted: 27 March 2017

Published: 8 April 2017

Abstract

Background

Optimal breastfeeding has benefits for the mother-infant dyads. This study investigated the prevalence and determinants of cessation of exclusive breastfeeding (EBF) in the early postnatal period in a culturally and linguistically diverse population in Sydney, New South Wales, Australia.

Methods

The study used routinely collected perinatal data on all live births in 2014 (N = 17,564) in public health facilities in two Local Health Districts in Sydney, Australia. The prevalence of mother’s breastfeeding intention, skin-to-skin contact, EBF at birth, discharge and early postnatal period (1–4 weeks postnatal) were estimated. Multivariate logistic regression models that adjusted for confounders were conducted to determine association between cessation of EBF in the early postnatal period and socio-demographic, psychosocial and health service factors.

Results

Most mothers intended to breastfeed (92%), practiced skin-to-skin contact (81%), exclusively breastfed  at delivery (90%) and discharge (89%). However, the prevalence of EBF declined (by 27%) at the early postnatal period (62%). Younger mothers (<20 years) and mothers who smoked cigarettes in pregnancy were more likely to cease EBF in the early postnatal period compared to older mothers (20–39 years) and those who reported not smoking cigarettes, respectively [Adjusted Odds Ratio (AOR) =2.7, 95%CI 1.9–3.8, P <0.001 and AOR = 2.5, 95%CI 2.1–3.0, P <0.001, respectively]. Intimate partner violence, assisted delivery, low socio-economic status, pre-existing maternal health problems and a lack of partner support were also associated with early cessation of EBF in the postnatal period.

Conclusions

Our findings suggest that while most mothers intend to breastfeed, and commence EBF at delivery and at discharge, the maintenance of EBF in the early postnatal period is sub-optimal. This highlights the need for efforts to promote breastfeeding in the wider community along with targeted actions for disadvantaged groups and those identified to be at risk of early cessation of EBF to maximise impact.

Keywords

  • Cessation
  • Exclusive breastfeeding
  • Australia
  • Sydney
  • postnatal period

Background

Optimal breastfeeding has both short- and long-term benefits for the mother-infant dyads [1–4]. Breastfed infants are less likely to develop diarrhoea [5, 6], otitis media and obesity as well as have a lower likelihood of mortality [5]. Appropriate breastfeeding is also associated with a higher likelihood of better intellectual functioning [7]. Mothers who engage in optimal breastfeeding practices have a lower risk of developing breast and ovarian cancers, and type 2 diabetes mellitus [4]. The evidence as to why breast milk is the “best” food for the newborn continues to evolve notably. Recent studies have identified mechanisms as to why breast milk is important for the newborn, including stimulation of the immunological and epigenetic functions, and enhancement as well as maintenance of the microbial changes of the gut [8–13]. The World Health Organization and United Nations Children’s Fund (WHO/UNICEF) recommend early initiation of breastfeeding within the first hour of birth and exclusive breastfeeding in the first six months followed by the introduction of safe, age-appropriate and nutritionally adequate complementary foods along with continued breastfeeding until the child is 2 years and beyond [14].

Globally, approximately 38% of infants are exclusively breastfed until around the age of four months, indicating that early cessation of exclusive breastfeeding (EBF) is prevalent in many countries [4]. In Australia, the prevalence of early or timely initiation of breastfeeding is high (96%) [15]. However, EBF for infants aged less than 4 months is low (39%), and decreases even further by 6 months (15%) [13]. The number of Indigenous infants who were exclusively breastfed post discharge from hospital after birth was even lower compared to non-Indigenous infants [16]. Factors that limit optimal breastfeeding in Australian mothers have been elucidated. These included: low socio-economic status (SES) [17], primiparity [18, 19], caesarean delivery, lower maternal age (<25 years) [19], cigarette smoking [20, 21], a mother not having intention to breastfeeding [20–22] and self-reported depressive symptoms [20]. Additionally, anxiety about breastfeeding in public may also be a determinant for suboptimal breastfeeding practices in Australia [23]. A recent study from Western Australia identified potential barriers as breastfeeding problems, poor community acceptability, and inconvenience; while the enablers included breastfeeding education, community support, family support and not having to work [24].

In 2011, the Government of New South Wales (NSW), Australia introduced initiatives and policies (such as policy on promotion, protection and support for breastfeeding and establishment of Breastfeeding Support Clinics) to promote optimal breastfeeding [25–27]. Despite these initiatives, the prevalence of EBF at discharge from health facilities remained unchanged in NSW (80% in 2010 and 79% in 2014) [28], and whether continuing EBF in the early postnatal period has been influenced by these policies is uncertain. We aimed to investigate the prevalence and determinants of cessation of EBF in the early postnatal period in one of Australia’s most culturally and linguistically diverse (CALD) communities in Sydney, NSW, using routinely collected perinatal data. This is the first study in the period post-implementation of breastfeeding initiatives in NSW that examines early cessation of EBF in the postnatal period since the policies were introduced. We will also report on the main reasons why mothers do not initiate or continue EBF in the early postnatal period. It is important to focus on this period as it is considered a critical phase to establish and support appropriate breastfeeding, and when targeted initiatives would yield better outcomes [29–31]. This paper provides breastfeeding information from a high-income country, contrary to a previous study on the importance of breastfeeding, which indicated that researchers and health authorities in developed countries appear to have overlooked breastfeeding [4]. Evidence from this study will provide context-specific information to ensure targeted initiatives on a range of factors underpinning cessation of EBF at the early postnatal period in one of NSW most CALD populations.

Methods

Data source

The study used a retrospective clinical audit of all live births in 2014 (N = 17,564) in public health facilities in Sydney Local Health District (SLHD) and South Western Sydney Local Health District (SWSLHD). Antenatal data (such as socio-demographic characteristics, history of any previous pregnancy, history of maternal cigarette smoking or alcohol use and mother’s breastfeeding intention) were collected at the first prenatal care visit of mothers by qualified midwives in the local health districts. Similarly, postnatal data (such as information on skin-to-skin contact, EBF at discharge and postnatal depressive symptoms using the Edinburgh Depression Scale) were collected at the post-delivery visit of mothers by qualified nurses, and were stored in the Information Management & Technology Division (IM&TD) database of the local health districts. We obtained these perinatal data with ethics approval, and linked both antenatal and postnatal information using individual identifiers. The New South Wales Perinatal Data Collection – a surveillance system which covers all births in NSW public and private hospitals, and home births – uses similar data to advocate for policy development in the state [28].

Study setting

SLHD and SWSLHD cover approximately 52% of the Sydney metropolitan region, with a population of 1,457,100 people of different cultural backgrounds [32, 33]. SLHD is located in the centre and inner west of Sydney, and SWSLHD is located in the Sydney south-western region. A number of maternal and child health services are provided to all communities across both districts, including the most socio-economically disadvantaged populations.

Breastfeeding indicators

The main breastfeeding outcome was EBF in the early postnatal period (i.e., 1–4 weeks postnatal). The prevalence of mother’s breastfeeding intention, skin-to-skin contact, EBF at delivery and discharge stratified by socio-demographic and health service factors were also considered. EBF was based on National Health and Medical Research Council (NHMRC) infant feeding guidelines [34], which are consistent with the WHO/UNICEF definitions for assessing infant and young child feeding practices [35]. For this study, EBF was measured as the proportion of infants who received only breast milk (including expressed milk), but allowed oral rehydration solution, syrups of vitamins/medicines. EBF at delivery was defined as the proportion of infants who received only breast milk in the first 24 h post-delivery, while EBF at discharge was measured as the proportion of infants who received only breast milk, 24 h preceding discharge from the maternity unit. EBF at early postnatal visit referred to the proportion of infants who received only breast milk 24 h prior to the first postnatal health visit. In the local health districts, assessment of both the mother and baby is conducted within 1–4 weeks post-delivery by a community health nurse during a universal home visit, and relevant health information (including breastfeeding data) are entered into the IM&TD database. Data on skin-to-skin contact were collected soon after birth at the maternity unit within the local health districts. Studies have shown that skin-to-skin contact is the most effective approach to promote EBF, regardless of the mode of delivery (vaginal or caesarean births) [36–38].

Risk factors

For this study, the exposure variables included: maternal age (categorised as <20 years, 20–39 years or ≥40 years), socio-economic status (SES, categorised as high, medium or low), maternal cigarette smoking in pregnancy (categorised as Yes or No), partner support (Yes, Not sure or No), pre-existing maternal health problems (such as diabetes mellitus and/or hypertension, categorised as Yes or No), history of intimate partner violence (IPV, categorised as Yes or No) and type of delivery (categorised as normal vaginal, assisted vaginal or caesarean). SES was based on the Socio-Economic Index for Areas, based on the mother’s address provided, which is a ranking given to areas in Australia according to relative socio-economic advantage and disadvantage, consistent with Australian Bureau of Statistics taxonomy [39]. Deciles of SES were categorised into high (top 10% of the population), middle (middle 80% of the population) and low (bottom 10% of the population) groups as consistent with previous reports [40]. IPV was collected based on the following question: “within the last year, have you been hit, slapped or hurt in other ways by your partner or ex-partner?” Antenatal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale (EPDS, categorised as score ≥13 or score <13) which has been validated and recommended for use in Australia [41]. The CALD aspect of the population on early cessation of EBF was assessed. CALD is a broad and inclusive term for communities with diverse language, ethnic background, nationality, dress, traditions, food, societal structures, art and religion characteristics [42].

Statistical analysis

Initial analyses involved a series of frequencies and cross-tabulations to determine prevalence of breastfeeding behaviours (i.e., breastfeeding intention, skin-to-skin contact, and EBF at delivery and discharge). Univariate regression models investigated the association between early cessation of EBF and key risk factors, followed by multivariate regression models that incorporated confounders.

The likelihood of a mother ceasing EBF in the early postnatal period and the association with relevant socio-demographic, psychosocial and health service factors was investigated in multivariate logistic regression models. Multivariate models adjusted for the potential confounding factors of maternal body mass index, gender of the baby, maternal alcohol intake and birthing facility location based on previous reports [18, 20].

Sensitivity analyses

An investigation of the possible effect of missing data on the observed odds ratio was conducted in sensitivity analyses using an imputed dataset based on the original information which comprised of complete outcome data for early cessation of breastfeeding in the early postnatal period. Multivariate imputation by chained equations was used assuming that data were missing at random [43]. This analytical strategy assumes that the known characteristics of study participants can be used to assess the characteristics of individuals with missing data [44]. The outcome and study variables in the main analysis were included in the multiple imputation models. Revised odds ratios from imputed data for comparison with the complete case analysis were generated using the mim command. Sensitivity analyses were based on 25 multiple imputations [45], and all analyses were conducted in Stata (Stata Corp, V.14.0, College Station, TX, USA).

Ethics

Ethics approvals for this study were obtained from the South Western Sydney Local Health District and the Sydney Local Health District Human Research Ethics Committees. Approval numbers HREC: LNR/11/LPOOL/463; SSA: LNRSSA/11/LPOOL/464 and Project No: 11/276 LNR; Protocol No X12-0164 and LNR/12/RPAH/266.

Results

The study was based on a sample of 17,564 mothers of all live infants born in public facilities in SWSLHD and SLHD. Almost half of the mothers were born outside Australia (46%). Of these, many were from Middle Eastern countries (10%), South East Asia (8%) and Southern Asia (8%), with the cohort covering women from more than 25 countries. Most mothers intended to breastfeed their babies (92%). A large proportion of mothers (81%) practiced skin-to-skin contact (Table 1). EBF at delivery and discharge were high (90 and 89% respectively). In the early postnatal period, more than half of mothers exclusively breastfed their babies (62%), indicating a 27% decrease in EBF prevalence between one and four weeks of delivery. Twenty two percent of mothers provided breast milk and infant formula to their babies, and 16% provided only infant formula. The most common reasons cited for not commencing or continuing EBF in this cohort included: incorrect positioning and attachment, prematurity, low birth weight and jaundice.
Table 1

Prevalence of breastfeeding practices by socio-demographic and maternal health characteristics of infant’s mothers from South Western Sydney and Sydney Local Health Districts in 2014 (N = 17,564)

 

Breastfeeding intention

Skin-to-skin contact

EBF at delivery

EBF at discharge

EBF at 1–4 week

N

n

%

N

n

%

N

n

%

N

n

%

N

n

%

SES category

14,752

  

15,668

  

14,260

  

16,073

  

8459

  

 High

 

5487

40.6

 

5095

40.3

 

5059

39.5

 

5791

40.7

 

1301

15.4

 Middle

 

6190

45.8

 

5838

46.2

 

5965

46.6

 

6479

45.5

 

4106

48.5

 Low

 

1840

13.6

 

1703

13.5

 

1772

13.9

 

1969

13.9

 

3052

36.1

Australian born

15,227

  

16,162

  

14,698

  

16,600

  

8755

  

 No

 

6200

44.3

 

6168

47.3

 

6129

46.4

 

6387

43.3

 

3964

45.3

 Yes

 

7779

55.7

 

6874

52.7

 

7084

53.6

 

8357

56.7

 

4791

54.7

Maternal age group

15,232

  

16,169

  

14,699

  

16,604

  

8756

  

 20–39 years

 

13,015

93.1

 

12,129

93.0

 

12,298

93.1

 

13,707

92.9

 

8195

93.6

 > 40 years

 

187

1.3

 

245

1.9

 

214

1.6

 

194

1.3

 

477

5.5

 < 20 years

 

782

5.6

 

669

5.1

 

703

5.3

 

847

5.7

 

84

1.0

BMI

14,216

  

13,382

  

12,188

  

13,850

  

7442

  

 Underweight

 

812

6.2

 

720

6.6

 

708

6.5

 

767

6.2

 

458

6.2

 Normal weight

 

7415

56.9

 

6282

57.9

 

6340

57.7

 

7172

58.1

 

4512

60.6

 Overweight

 

2900

22.2

 

2357

21.7

 

2416

22.0

 

2704

21.9

 

1606

21.6

 Obese

 

1915

14.7

 

1489

13.7

 

1517

13.8

 

1702

13.8

 

866

11.6

Pre-existing maternal health problems

13,838

  

14,976

  

13,550

  

15,250

  

8122

  

 No

 

8815

69.4

 

9076

74.5

 

8872

72.9

 

9777

72.2

 

5898

72.6

 Yes

 

3886

30.6

 

3103

25.5

 

3297

27.1

 

3759

27.8

 

2224

27.4

Intimate partner violence

13,972

  

13,136

  

11,964

  

13,576

  

7280

  

 No

 

12,634

98.6

 

10,526

98.6

 

10,628

98.8

 

11,932

98.8

 

7200

98.9

 Yes

 

175

1.4

 

147

1.4

 

134

1.3

 

146

1.2

 

80

1.1

Type of delivery

15,195

  

16,127

  

14,660

  

16,565

  

8732

  

 Normal vaginal

 

8720

62.5

 

10,017

77.0

 

9111

69.2

 

9301

63.2

 

5640

64.6

 Assisted vaginal

 

1516

10.9

 

1472

11.3

 

1450

11.0

 

1604

10.9

 

991

11.4

 Caesarean section

 

3711

26.6

 

1514

11.6

 

2615

19.9

 

3806

25.9

 

2101

24.0

Alcohol consumption

14,606

  

13,795

  

12,567

  

14,292

  

7668

  

 No

 

13,186

98.5

 

11,026

98.3

 

11,160

98.5

 

12,549

98.4

 

7537

98.3

 Yes

 

205

1.5

 

189

1.7

 

174

1.5

 

203

1.6

 

131

1.7

Smoking status

15,226

  

14,538

  

13,239

  

15,097

  

8085

  

 No

 

13,104

93.7

 

10,948

92.5

 

11,212

93.6

 

12,727

94.2

 

7769

96.1

 Yes

 

874

6.3

 

892

7.5

 

764

6.4

 

781

5.8

 

316

3.9

Supportive partner

13,952

  

13,104

  

11,941

  

13,550

  

7316

  

 Yes

 

12,444

97.0

 

10,308

96.8

 

10,464

97.1

 

11,735

97.1

 

7132

97.5

 Not sure

 

126

1.0

 

107

1.0

 

99

0.9

 

122

1.0

 

55

0.7

 No

 

252

2.0

 

230

2.2

 

209

1.9

 

235

1.9

 

129

1.8

Antenatal depressive symptoms

13,368

  

12,549

  

11,450

  

12,963

  

6976

  

 EPDS <13

 

11,524

94.0

 

9586

94.3

 

9702

94.3

 

10,840

94.1

 

6581

94.4

 EPDS ≥13

 

732

6.0

 

576

5.7

 

586

5.7

 

682

5.9

 

395

5.6

N Sample size, n positive cases; pre-existing maternal health problems included diabetes mellitus and/or hypertension

EBF at delivery was defined as infants who received only breast milk within the first 24 h post-delivery

EBF at discharge was measured as infants who received only breast milk in the 24 h preceding discharge from the maternity unit

Younger mothers (<20 years) were significantly more likely to discontinue EBF in the early postnatal period compared to older mothers (20–39 years) [Adjusted Odds Ratio (AOR) =2.7, 95%CI 1.9–3.8, P <0.001] (Table 2). Mothers from higher SES groups were significantly less likely to cease EBF in the early postnatal period compared to those from lower SES groups (AOR = 0.6, 95%CI 0.5–0.9, P <0.001). Mothers who reported smoking cigarettes in pregnancy were significantly more likely to stop EBF in the early postnatal period compared to their counterparts (AOR = 2.5, 95%CI 2.1–3.0, P = 0.042). The odds for ceasing EBF in the early postnatal period were higher among mothers who received interventions during delivery (AOR = 1.5, 95%CI 1.4–1.7, P <0.001 for caesarean section and AOR = 1.3, 95%CI 1.1–1.5, P <0.001 for assisted vaginal delivery) and, those who reported a history of intimate partner violence (AOR = 1.4, 95%CI 1.0–2.0, P = 0.042). Mothers who reported not having partner support were significantly more likely to discontinue EBF in the early postnatal period compared to their counterparts (AOR = 1.7, 95%CI 1.2–2.1, P = 0.003). The analysis showed no association between CALD population and early cessation of EBF in the postnatal period. Findings from multiple imputation analyses were not substantially different from the complete case analysis for most of the study factors (Table 2), suggesting that missing data did not considerably affect the observed findings.
Table 2

Associations between key study factors and early cessation of exclusive breastfeeding in the postnatal period of infant’s mothers from South Western Sydney and Sydney Local Health Districts in 2014 (N = 17,564)

 

Complete case analysis

Multiple imputation analysisa

Unadjusted OR (95%CI)

P value

Adjusted OR (95%CI)b

P value

Unadjusted OR (95%CI)

P value

Adjusted OR (95%CI)b

P value

Early cessation of EBF in early postnatal period

 Maternal age group

  20–39 years

1.0

 

1.0

 

1.0

 

1.0

 

   > 40 years

1.1 (0.9–1.3)

0.293

1.1 (0.9–1.4)

0.236

1.1 (0.9–1.3)

0.524

0.9 (0.7–1.2)

0.225

   < 20 years

3.1 (2.4–4.1)

<0.001

2.7 (1.9–3.8)

<0.001

3.4 (2.4–4.7)

<0.001

2.9 (2.1–4.1)

<0.001

 Socio-economic status

  Low

1.0

 

1.0

 

1.00

 

1.0

 

  Medium

0.8 (0.6–0.7)

<0.001

0.7 (0.6–0.8)

<0.001

0.7 (0.6–0.7)

<0.001

0.7 (0.6–0.7)

<0.001

  High

0.5 (0.4–0.6)

<0.001

0.6 (0.5–0.9)

<0.001

0.5 (0.4–0.6)

<0.001

0.5 (0.5–0.6)

<0.001

 Antenatal depressive symptoms

  EPDS <13

1.0

 

1.0

 

1.00

 

1.0

 

  EPDS ≥13

1.2 (1.0–1.4)

0.014

1.2 (1.1–1.5)

0.068

1.2 (1.1–1.2)

0.016

1.3 (1.1–1.5)

0.056

 Cigarette smoking

  No

1.0

 

1.0

 

1.0

 

1.0

 

  Yes

3.2 (2.8–3.7)

<0.001

2.5 (2.1–3.0)

<0.001

2.9 (2.5–3.5)

<0.001

2.7 (2.3–3.2)

<0.001

 Supportive Partner

  Yes

1.0

 

1.0

 

1.0

 

1.00

 

  Unsure

1.9 (1.3–2.8)

<0.001

1.6 (1.1–2.4)

0.026

1.8 (1.2–2.7)

0.007

1.5 (1.0–2.3)

0.078

  No

1.5 (1.2–2.0)

<0.001

1.7 (1.2–2.1)

0.003

1.7 (1.3–2.3)

<0.001

1.4 (1.3–1.9)

0.049

 CALD

  No

1.0

       

  Yes

0.9 (0.8–1.0)

0.107

0.9 (0.8–1.0)

0.088

1.1 (0.9–1.2)

0.0101

0.9 (0.7–1.0)

0.075

 Pre-existing maternal health problems

  No

1.0

 

1.0

 

1.0

 

1.0

 

  Yes

1.1 (1.0.–1.2)

0.207

1.2 (1.1–1.3)

0.002

1.1 (1.1–1.2)

0.095

1.0 (0.9–1.1)

0.405

 Intimate partner violence

  No

1.0

 

1.0

 

1.0

 

1.0

 

  Yes

1.6 (1.2–2.2)

0.004

1.4 (1.0–2.0)

0.042

1.7 (1.2–2.5)

0.005

1.2 (0.7–1.8)

0.516

 Type of delivery

  Normal vaginal

1.0

       

  Assisted vaginal

1.1 (1.0–1.2)

0.119

1.3 (1.1–1.5)

<0.001

1.0 (0.9–1.1)

0.898

1.1 (0.9–1.2)

0.426

  Caesarean section

1.5 (1.4–1.6)

<0.001

1.5 (1.4–1.7)

<0.001

1.6 (1.3–1.6)

<0.001

1.5 (1.3–1.6)

<0.001

aSensitivity analyses following multiple imputations for missing values; CALD culturally and linguistically diverse population; pre-existing maternal health problems included diabetes mellitus and/or hypertension

bAdjusted for maternal body mass index, gender of the baby, maternal alcohol intake and birthing facility location. N Sample size, n positive cases

Discussion

In this study, most mothers intended to breastfeed, and most infants experienced skin-to-skin contact. EBF prevalence at delivery and at discharge from hospital after birth were high, but the prevalence of EBF in the early postnatal period declined by 27%, suggesting that many infants were introduced to complementary foods as early as the second month of birth, contrary to recommended practice. Younger mothers (<20 years) and those with no supportive partners were significantly more likely to discontinue EBF compared to older mothers (20–39 years) and those who reported having supportive partners, respectively. Mothers from higher SES groups were less likely to cease EBF compared to those from low SES groups. The odds for ceasing EBF in the early postnatal period were higher among mothers who received interventions during delivery, pregnant mothers who smoked cigarettes in pregnancy, and those who reported a history of intimate partner violence (IPV). The negative impact of antenatal depressive symptoms on cessation of EBF in this population has been reported elsewhere [40].

EBF decreased in the early postnatal period, consistent with previous reports [15, 21]. Previous Australian studies revealed that this steep decline in EBF may be due to early return to work [46], inexperience in breastfeeding, a lack of partner’s support [15], and Aboriginal heritage [21]. Additionally, our study found that younger maternal age and smoking in pregnancy were the strongest determinants (in terms of effect sizes) for sub-optimal EBF in Sydney. This finding is consistent with a previous Australian study, which indicated that Indigenous status, young maternal age and smoking in pregnancy were associated with sub-optimal breastfeeding [21]. Current interventions to promote breastfeeding in NSW include: policy on promotion, protection and support for breastfeeding [27]; maternity leave policy; establishment of Breastfeeding Support Clinics; Breastfeeding Reference Groups [26, 32, 47]; and a universal home visiting program [48, 49]. Some aspects of these interventions specifically target vulnerable and at-risk mothers (such as low SES mothers) who may have limited information in appropriate breastfeeding [49]. Our study provides further insight into challenges in maintaining EBF in the early postnatal period, and suggests that current and/or future interventions to promote EBF should target disadvantaged groups to maximise positive results.

Consistent with prior studies [17, 19], we found that higher maternal SES was associated with EBF compared to mothers from lower SES groups, suggesting better uptake of health information in higher SES mothers. Mothers with higher educational attainment are more likely to be in employment as well as have a better propensity to take up health care messages compared to those with lower educational attainment [50, 51]. Other plausible reasons for why mothers from lower SES groups engaged in suboptimal breastfeeding practices may include limited skills to negotiate working hours, stress and poor social interactions [52, 53]. These discrepancies in breastfeeding practices across the socio-economic scale may also reflect aspects of health inequalities between higher SES and lower SES families in Australia [51]. Legislators, social and health administrators must work together to improve infant feeding behaviours in all households to ensure improvement in household well-being and productivity.

The effective implementation of the Baby Friendly Hospital Initiative (BFHI) is an important strategy to increase optimal breastfeeding rates following caesarean delivery. BFHI was introduced in 1990 by WHO/UNICEF, and was implemented in Australia in 1993 to promote, protect and support breastfeeding in the hospital and community [54]. Among Australian states and territories, and in comparison to other states such as Queensland (28%) and South Australia (18%), NSW has one of the lowest proportions of BFHI accredited facilities (14%) [54]. This is particularly significant considering the fact that NSW is the most populous state in Australia [55]. The current policy direction for breastfeeding promotion, protection and support in the state includes important priority areas for action such as health professionals’ education and training; support for breastfeeding in health care settings; breastfeeding support for priority groups; and continuity of care, referral pathways and support networks [27]. Appropriate implementation and sustained monitoring of these key areas of optimal breastfeeding across different levels of cultural background, socio-economic and demographic measure is crucial to promote EBF in Sydney, Australia.

In Australia and internationally, previous studies [56–61] have shown that family members (particularly partner or grandmother) do not only influence the decision to initiate and continue EBF, but they can also play a role  in premature cessation of EBF. Our study indicated that mothers with no supportive partners were more likely to discontinue EBF in the early postnatal period. Evidence indicates that fathers want to help the mother to have a successful breastfeeding experience [58, 62]. However, limited breastfeeding information for fathers and conflicting information from health professionals to fathers were reported as barriers to fathers’ participation in breastfeeding support. Providing fathers with appropriate breastfeeding information to become breastfeeding advocates will increase EBF duration in Sydney [63]. Appropriate implementation of the BFHI will also address aspects of the inconsistency in breastfeeding information from health professionals. Our study also indicated that IPV and maternal cigarette smoking were associated with cessation of EBF in the early postnatal period. The Australian and NSW Government initiatives to stop IPV in communities [64] and control tobacco smoking [65] are strategies needed at the national and sub-national level to improve breastfeeding practices of mothers. These efforts, however, must be tailored to the socio-economic environment in which mothers raise their children to ensure better outcomes.

In comparison to many developing countries [6, 66–68], the introduction of solid, semi-solid and soft foods to infants aged less than 6 months may not create the environment for Australian infants to experience diarrhoea associated with inappropriate infant feeding practices. Reasons for this observation may include better social amenities (like housing, access to potable water and good sanitary environment), and better availability and affordability of food storage systems, operational policies and vaccination programs in Australia. Although infants in Australia may have a lower likelihood of developing diarrhoea associated with suboptimal infant feeding, appropriate breastfeeding remains relevant in a developed country, such as Australia. For example, breastfeeding is relevant in reducing the risk for a number of non-communicable diseases in mother-infant pairs, including obesity [69] diabetes [70] and cancers [71–73] in addition to facilitating optimal development and cognitive abilities for infants [7]. Similarly, a recent randomised control trial among Australian children showed that optimal breastfeeding was associated with a reduced risk of childhood obesity [74, 75]. Initiatives to improve mother and infant health in NSW must consider the important role of optimal breastfeeding to maximise outcomes.

An emerging threat to optimal breastfeeding in the 21st century may be the continued “disapproval about breastfeeding in public”. In Australia, the law supports nursing mothers to breastfeed in public places [76]. However, shop attendants and security guards [77–80] in Australia have asked mothers to leave a public venue whilst breastfeeding, suggesting that a proportion of people are unaware of the mother’s right to breastfeed. Although our study did not examine the impact of disapproval about public breastfeeding, previous studies have indicated that anxiety associated with public breastfeeding was a major reason for suboptimal breastfeeding [81–83]. Even though responses to public breastfeeding can be positive or negative in the community [77, 84], interventions to promote breastfeeding in the wider community must not only focus on the importance of breastfeeding, but also on normalising public breastfeeding. Research into strategies to make public breastfeeding an acceptable norm in the community may also be warranted.

Study limitations and strengths

The study has a number of limitations. First, the outcome was measured based on self-report which may have led to a recall and/or measurement bias that may have underestimated or overestimated the association between early cessation of EBF and key study factors. Second, unmeasured confounding factors (such as culture, multi-parity or level of support services received postnatal) may also affect the study findings. Third, longitudinal data on EBF (from 4 weeks to 6 months postnatal) were unavailable, information that may have provided a broader pattern of EBF of mothers in Sydney. Finally, our analysis was unable to separate mothers who were assessed by the community health nurse in the first, second, third or fourth week postnatal. This information would have provided additional detail on early cessation of EBF in the postnatal period. Despite these limitations, the study provides information on EBF in the early period following delivery in one of the most diverse populations in Australia. We believe that any potential bias due to missing data is unlikely to have affected the observed findings since the study took this into consideration using a sensitivity analysis that imputed missing data. Our study also provides breastfeeding information from a high-income country, contrary to a proposition from a previous study, which indicated that researchers and health jurisdictions in high-income countries appear to have ignored breastfeeding [4].

Conclusions

Our findings suggest that many mothers intended to breastfeed, and most mothers practiced skin-to-skin contact, EBF at delivery and at discharge from hospital after birth. However, the prevalence of EBF declined in the early postnatal period. Younger mothers (<20 years), having an unsupportive partner, intimate partner violence, and interventions during delivery were associated with early cessation of EBF at the postnatal period in Sydney, Australia. Our study provides further insight into breastfeeding practices in one of Australia’s most culturally and linguistically diverse populations to ensure targeted initiatives for all mothers, especially those identified to be at risk of early cessation of EBF. Initiatives that incorporate wider consultative processes will maximise impact and long-term sustainability.

Abbreviations

CALD: 

Cultural and Linguistically Diverse

EBF: 

Exclusive breastfeeding

SLHD: 

Sydney Local Health District

SWLHD: 

South Western Sydney Local Health District

UNICEF: 

United Nations Children’s Fund

WHO: 

World Health Organization

Declarations

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.

Membership of the Early Years Research Group

Anne Dudley, Elizabeth Paz, Jacqueline Stack, Karen Sorensen, Mary Knopp, Alison Colley and Carissa Kleiman

Funding

This study received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Availability of data and materials

The data used for the analysis are accessed in accordance with ethical protocols that only allow unit record information to be released to investigators in the ethics committee submission for study approvals. Please send data requests and queries to: South Western Sydney Local Health District Ethics committee. Postal Address: Research and Ethics Office Locked Bag 7103 LIVERPOOL BC NSW 1871 Australia Phone: +61 (02) 8738 8304; Fax: +61 (02) 8738 8310; email: research.support@sswahs.nsw.gov.au Sydney Local Health District Ethics committee c/- Research Ethics and Governance Office (REGO) Royal Prince Alfred Hospital Missenden Road CAMPERDOWN NSW 2050 Australia Telephone: +61 (02) 9515 6766 Fascimile: +61 (02) 95157176.

Authors’ contributions

FAO conceived the study, performed the analysis, interpreted results, prepared the first draft and critically revised the manuscript. JE supervised the study, provided data, reviewed results, and critically revised the manuscript. AP provided advice on the analysis, reviewed results, and critically revised the manuscript. All other authors provided data, reviewed results and critically revised the manuscript. All authors read and approved the final manuscript as submitted.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

This article contains no personal data in any form.

Ethics approval and consent to participate

Ethics approvals for this study were obtained from the South Western Sydney Local Health District and the Sydney Local Health District Human Research Ethics Committees. No individuals were contacted for this study. Approval numbers HREC: LNR/11/LPOOL/463; SSA: LNRSSA/11/LPOOL/464 and Project No: 11/276 LNR; Protocol No X12-0164 and LNR/12/RPAH/266.

Publisher’s Note

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

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Centre for Health Research, School of Medicine, Western Sydney University, Penrith, Australia
(2)
Ingham Institute for Applied Medical Research, Liverpool, Australia
(3)
School of Women’s and Children’s Health, The University of New South Wales, Kensington, Sydney, Australia
(4)
Menzies Centre for Health Policy, Charles Perkins Centre, School of Public Health, Sydney University, Sydney, Australia
(5)
School of Public Health, Griffith University, Gold Coast, Australia
(6)
Department of Community Paediatrics, Sydney Local Health District, Croydon Community Health Centre, Croydon, Australia
(7)
Sydney Children’s Hospital Network, Randwick, Australia
(8)
School of Science and Health, Western Sydney University, Penrith, Australia
(9)
Child and Family Health Nursing, Primary & Community Health, South Western Sydney Local Health District, Narellan, Australia
(10)
Healthy People and Places Unit, South Western Sydney Local Health, Liverpool, Australia
(11)
School of Psychiatry, UNSW Medicine, University of New South Wales, Randwick, Australia
(12)
Department of Newborn Care, Royal Hospital for Women, Randwick, Australia
(13)
Translational Research and Social Innovation, School of Nursing and Midwifery, Western Sydney University, Penrith, Australia
(14)
Community Paediatrician for Child Protection, South Western Sydney Local Health District, Liverpool, Australia
(15)
Department of Community Child Health/Integrated Care, Sydney Children’s Hospital Network, Randwick, Australia
(16)
Academic Unit of Child Psychiatry, South West Sydney (AUCS), ICAMHS, Mental Health Centre, Liverpool Hospital, Liverpool, Australia
(17)
Women and Child Health, Liverpool Hospital, South Western Sydney Local Health District, Liverpool, Australia
(18)
Peadiatrics and Neonatology, Liverpool Hospital, South Western Sydney Local Health District, Liverpool, Australia
(19)
Maari Ma Health Aboriginal Corporation, Broken Hill, Australia

References

  1. Horta BL, Bahl R, Martines J, Victora C. Evidence on the long-term effects of breastfeeding. Geneva: World Health Organization; 2007.Google Scholar
  2. Horta BL, Victora CG. Short-term effects of breastfeeding: a systematic review on the benefits of breastfeeding on diarrhoea and pneumonia mortality. Geneva: World Health Organisation; 2013.Google Scholar
  3. Horta BL, Loret de Mola C, Victora CG. Long‐term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta‐analysis. Acta Paediatr. 2015;104(S467):30–7.View ArticlePubMedGoogle Scholar
  4. Victora CG, Bahl R, Barros AJ, França GV, Horton S, Krasevec J, et al. Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect. Lancet. 2016;387(10017):475–90.View ArticlePubMedGoogle Scholar
  5. Lamberti LM, Walker C, Fischer L, Noiman A, Victora C, Black RE. Breastfeeding and the risk for diarrhea morbidity and mortality. BMC Public Health. 2011;11 Suppl 3:S15.View ArticlePubMedPubMed CentralGoogle Scholar
  6. Ogbo FA, Page A, Idoko J, Claudio F, Agho KE. Diarrhoea and suboptimal feeding practices in Nigeria: evidence from the national household surveys. Paediatr Perinat Epidemiol. 2016;30:346–55.View ArticlePubMedGoogle Scholar
  7. Horta BL, Loret de Mola C, Victora CG. Breastfeeding and intelligence: a systematic review and meta‐analysis. Acta Paediatr. 2015;104:14–9.View ArticlePubMedGoogle Scholar
  8. Yatsunenko T, Rey FE, Manary MJ, Trehan I, Dominguez-Bello MG, Contreras M, et al. Human gut microbiome viewed across age and geography. Nature. 2012;486(7402):222–7.PubMedPubMed CentralGoogle Scholar
  9. Azad MB, Konya T, Maughan H, Guttman DS, Field CJ, Chari RS, et al. Gut microbiota of healthy Canadian infants: profiles by mode of delivery and infant diet at 4 months. Can Med Assoc J. 2013;185(5):385–94.View ArticleGoogle Scholar
  10. Verduci E, Banderali G, Barberi S, Radaelli G, Lops A, Betti F, et al. Epigenetic effects of human breast milk. Nutrients. 2014;6(4):1711–24.View ArticlePubMedPubMed CentralGoogle Scholar
  11. Karlsson O, Rodosthenous RS, Jara C, Brennan KJ, Wright RO, Baccarelli AA, et al. Detection of long non-coding RNAs in human breastmilk extracellular vesicles: Implications for early child development. Epigenetics. 2016;11(10):721–9.View ArticleGoogle Scholar
  12. Yesildal F, Koc E, Tas A, Ozgurtas T. Angiopoietins in human breast milk. Breastfeed Med. 2016;11(7):366–9.View ArticlePubMedGoogle Scholar
  13. Fujita M, Lo YJ, Brindle E. Nutritional, inflammatory, and ecological correlates of maternal retinol allocation to breast milk in agro‐pastoral Ariaal communities ofnorthern Kenya. Am J Hum Biol. 2017:e22961.Google Scholar
  14. World Health Organization. Indicators for assessing infant and young child feeding practices. Geneva: World Health Organization; 2008.Google Scholar
  15. Australian Institute of Health and Welfare. 2010 Australian National Infant Feeding Survey: indicator results. Canberra: Australian Institute of Health and Welfare; 2011.Google Scholar
  16. Australian Institute of Health and Welfare 2011. 2010 Australian National Infant Feeding Survey: indicator results. Canberra: AIHW; 2010.Google Scholar
  17. Amir LH, Donath SM. Socioeconomic status and rates of breastfeeding in Australia: evidence from three recent national health surveys. Med J Aust. 2008;189(5):254–6.PubMedGoogle Scholar
  18. Binns C, Gilchrist D, Gracey M, Zhang M, Scott J, Lee A. Factors associated with the initiation of breast-feeding by Aboriginal mothers in Perth. Public Health Nutr. 2004;7(07):857–61.View ArticlePubMedGoogle Scholar
  19. Hauck YL, Fenwick J, Dhaliwal SS, Butt J. A Western Australian survey of breastfeeding initiation, prevalence and early cessation patterns. Matern Child Health J. 2011;15(2):260–8.View ArticlePubMedGoogle Scholar
  20. Forster DA, McLachlan HL, Lumley J. Factors associated with breastfeeding at six months postpartum in a group of Australian women. Int Breastfeed J. 2006;1:18.View ArticlePubMedPubMed CentralGoogle Scholar
  21. Craig PL, Knight J, Comino E, Webster V, Pulver LJ, Harris E. Initiation and duration of breastfeeding in an aboriginal community in south western Sydney. J Hum Lact. 2011;27(3):250–61.View ArticlePubMedGoogle Scholar
  22. Scott J, Landers M, Hughes RM, Binns C. Factors associated with breastfeeding at discharge and duration of breastfeeding. J Paediatr Child Health. 2001;37(3):254–61.View ArticlePubMedGoogle Scholar
  23. Amir LH. Breastfeeding in public:“You can do it?”. Int Breastfeed J. 2014;9:187.View ArticlePubMedPubMed CentralGoogle Scholar
  24. Daly A, Pollard CM, Phillips M, Binns CW. Benefits, barriers and enablers of breastfeeding: factor analysis of population perceptions in Western Australia. PLoS One. 2014;9(2):e88204.View ArticlePubMedPubMed CentralGoogle Scholar
  25. South Western Sydney Local Health District. Breastfeeding 2016 [cited 2016 20 December]. Available from: http://www.swslhd.nsw.gov.au/populationhealth/PH_Promotion/hltPop_brstFeeding.html.
  26. Sydney Local Health District. Breastfeeding policy. Sydney Sydney Local Health District, 2014 Contract No.: SLHD_PD2014_016.Google Scholar
  27. New South Wales Ministry of Health. Breastfeeding in NSW: Promotion, Protection and Support. Sydney: NSW Government 2011 Contract No.: PD2011_042.Google Scholar
  28. Centre for Epidemiology and Evidence. New South Wales Mothers and Babies 2014. Sydney: NSW Ministry of Health; 2016.Google Scholar
  29. Thomas JV. Barriers to exclusive breastfeeding among mothers during the first four weeks postpartum. Minnesota: Walden University; 2016.Google Scholar
  30. Vieira F, Bachion MM, Mota DDC, Munari DB. A systematic review of the interventions for nipple trauma in breastfeeding mothers. J Nurs Scholarsh. 2013;45(2):116–25.View ArticlePubMedGoogle Scholar
  31. World Health Organization. WHO recommendations on postnatal care of the mother and newborn. Geneva: WHO; 2013.Google Scholar
  32. South Western Sydney Local Health District. Research Strategy for South Western Sydney Local Health District 2012–2021. Sydney: South Western Sydney Local Health District; 2012.Google Scholar
  33. Sydney Local Health District. Planning Online: Sydney Local Health District; 2016 [22 June 2016]. Available from: https://www.slhd.nsw.gov.au/planning/profiles.html.
  34. National Health and Medical Research Council. Infant feeding guidelines. Canberra: National Health and Medical Research Council; 2012.Google Scholar
  35. World Health Organization. Indicators for assessing infant and young child feeding practices: Part 1: definitions: conclusions of a consensus meeting held 6–8 November 2007 in Washington DC, USA. 2008.Google Scholar
  36. Bramson L, Lee JW, Moore E, Montgomery S, Neish C, Bahjri K, et al. Effect of early skin-to-skin mother—Infant contact during the first 3 hours following birth on exclusive breastfeeding during the maternity hospital stay. J Hum Lact. 2010;26(2):130–7.View ArticlePubMedGoogle Scholar
  37. Crenshaw JT. Healthy birth practice# 6: keep mother and baby together—it’s best for mother, baby, and breastfeeding. J Perinat Educ. 2014;23(4):211–7.View ArticlePubMedPubMed CentralGoogle Scholar
  38. Moore ER, Bergman N, Anderson GC, Medley N. Early skin‐to‐skin contact for mothers and their healthy newborn infants. Cochrane Database Syst Rev. 2016;(11):Art. No.: CD003519. doi: 10.1002/14651858.CD003519.pub4.
  39. Australian Bureau of Statistics. Technical Paper: Socio-Economic Indexes for Areas (SEIFA) 2011. Canberra: Commonwealth of Australia; 2013.Google Scholar
  40. Eastwood J, Ogbo FA, Hendry A, Noble J, Page A, Early Years Research Group. The impact of antenatal depression on perinatal outcomes in Australian women. PLoS One. 2017;12(1):e0169907. doi:10.1371/journal.pone.0169907.View ArticlePubMedPubMed CentralGoogle Scholar
  41. beyondblue National Postnatal Depression Program. The beyondblue National Postnatal Depression Program Prevention and Early Intervention 2001 – 2005. 2005.Google Scholar
  42. Australian Bureau of Statistics. Culturally and linguistically diversity (CALD) characteristics 2016 [cited 2017 18 January]. Available from: http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4529.0.00.003~2014~Main%20Features~Cultural%20and%20Linguistic%20Diversity%20(CALD)%20Characteristics~13.
  43. Van Buuren S, Boshuizen HC, Knook DL. Multiple imputation of missing blood pressure covariates in survival analysis. Stat Med. 1999;18(6):681–94.View ArticlePubMedGoogle Scholar
  44. Sterne JA, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. Br Med J. 2009;338:b2393.View ArticleGoogle Scholar
  45. Spratt M, Carpenter J, Sterne JA, Carlin JB, Heron J, Henderson J, et al. Strategies for multiple imputation in longitudinal studies. Am J Epidemiol. 2010;172(4):478–87.View ArticlePubMedGoogle Scholar
  46. Weber D, Janson A, Nolan M, Wen LM, Rissel C. Female employees’ perceptions of organisational support for breastfeeding at work: findings from an Australian health service workplace. Int Breastfeed J. 2011;6:19.View ArticlePubMedPubMed CentralGoogle Scholar
  47. SLHD Breastfeeding Reference Group. Sydney Local Health District Breastfeeding Reference Group Annual Report 2015. Sydney: Sydney Local Health District; 2016.Google Scholar
  48. New South Wales Ministry of Health. Maternal & Child Health Primary Health Care Policy. Sydney: NSW Government 2010 Contract No.: PD2010_017.Google Scholar
  49. Early Childhood Connect. Maternal Early Childhood Sustained Home-visiting (MECSH) program 2016 [cited 2017 January 11]. Available from: http://www.earlychildhoodconnect.edu.au/home-visiting-programs/mecsh-public/about-mecsh.
  50. Güneş PM. The role of maternal education in child health: evidence from a compulsory schooling law. Econ Educ Rev. 2015;47:1–16.View ArticleGoogle Scholar
  51. Bowes J, Grace R. Review of early childhood parenting, education and health intervention programs for Indigenous children and families in Australia. Canberra: Australian Institute of Health and Welfare & Melbourne: Australian Institute of Family Studies; 2014.Google Scholar
  52. Mitra AK, Khoury AJ, Hinton AW, Carothers C. Predictors of breastfeeding intention among low-income women. Matern Child Health J. 2004;8(2):65–70.View ArticlePubMedGoogle Scholar
  53. McIntyre E, Hiller JE, Turnbull D. Determinants of infant feeding practices in a low socio‐economic area: identifying environmental barriers to breastfeeding. Aust N Z J Public Health. 1999;23(2):207–9.View ArticlePubMedGoogle Scholar
  54. Australian College of Midwives. Baby Friendly Health Initiative (BFHI) 2016 [cited 2017 January 11]. Available from: https://www.midwives.org.au/baby-friendly-health-initiative-bfhi.
  55. Industry NSWDo. Size of NSW economy 2016 [cited 2017 January 11]. Available from: http://www.industry.nsw.gov.au/invest-in-nsw/about-nsw/economic-growth/Size-of-NSW-economy.
  56. Mannion CA, Hobbs AJ, McDonald SW, Tough SC. Maternal perceptions of partner support during breastfeeding. Int Breastfeed J. 2013;8:4.View ArticlePubMedPubMed CentralGoogle Scholar
  57. Tsai S-Y. Influence of partner support on an employed mother’s intention to breastfeed after returning to work. Breastfeed Med. 2014;9(4):222–30.View ArticlePubMedPubMed CentralGoogle Scholar
  58. Tohotoa J, Maycock B, Hauck YL, Howat P, Burns S, Binns CW. Dads make a difference: an exploratory study of paternal support for breastfeeding in Perth, Western Australia. Int Breastfeed J. 2009;4(1):15.View ArticlePubMedPubMed CentralGoogle Scholar
  59. Wolfberg AJ, Michels KB, Shields W, O’campo P, Bronner Y, Bienstock J. Dads as breastfeeding advocates: results from a randomized controlled trial of an educational intervention. Am J Obstet Gynecol. 2004;191(3):708–12.View ArticlePubMedGoogle Scholar
  60. Ingram J, Johnson D. A feasibility study of an intervention to enhance family support for breast feeding in a deprived area in Bristol, UK. Midwifery. 2004;20(4):367–79.View ArticlePubMedGoogle Scholar
  61. Scott JA, Binns CW. Factors associated with the initiation and duration of breastfeeding: a review of the literature. Breastfeed Rev. 1999;7(1):5–16.PubMedGoogle Scholar
  62. Susin LRO, Giugliani ERJ. Inclusion of fathers in an intervention to promote breastfeeding: impact on breastfeeding rates. J Hum Lact. 2008;24:386–92.View ArticlePubMedGoogle Scholar
  63. Ekström A, Nissen E. A mother’s feelings for her infant are strengthened by excellent breastfeeding counseling and continuity of care. Pediatrics. 2006;118(2):e309–14.View ArticlePubMedGoogle Scholar
  64. Australian Department of Human Services. Family and Domestic Violence Strategy 2016–2019. Canberra: Australian Department of Human Services; 2016.Google Scholar
  65. Department of Health. Tobacco control Australian Government 2016 [cited 2017 19 January]. Available from: http://www.health.gov.au/tobacco.
  66. Hajeebhoy N, Nguyen H, Mannava P, Nguyen TT, Tran ML. Suboptimal breastfeeding practices are associated with infant illness in Vietnam. Int Breastfeed J. 2014;9:12.View ArticlePubMedPubMed CentralGoogle Scholar
  67. Mihrshahi S, Oddy WH, Peat JK, Kabir I. Association between infant feeding patterns and diarrhoeal and respiratory illness: a cohort study in Chittagong, Bangladesh. Int Breastfeed J. 2008;3(1):1.View ArticleGoogle Scholar
  68. Rajiv B, Frost C, Kirkwood BR, Edmon K, Martines J, Bhandari N, Arthur P. Infant feeding patterns and risks of death and hospitalization in the first half of infancy: multicentre cohort study. Bull World Health Organ. 2005;83(6):418–26.Google Scholar
  69. Owen CG, Martin RM, Whincup PH, Smith GD, Cook DG. Effect of infant feeding on the risk of obesity across the life course: a quantitative review of published evidence. Pediatrics. 2005;115(5):1367–77.View ArticlePubMedGoogle Scholar
  70. Kjos SL, Henry O, Lee RM, Buchanan TA, Mishell Jr DR. The effect of lactation on glucose and lipid metabolism in women with recent gestational diabetes. Obstet Gynecol. 1993;82(3):451–5.PubMedGoogle Scholar
  71. Whittmore AS, Harris R, Itnyre J. Characteristics relating to ovarian cancer risk: collaborative analysis of 12 US case-control studies II. Invasive epithelial ovarian cancers in white women. Am J Epidemiol. 1992;136(10):1184–203.View ArticleGoogle Scholar
  72. Newcomb PA, Storer BE, Longnecker MP, Mittendorf R, Greenberg ER, Clapp RW, et al. Lactation and a reduced risk of postmenopausal breast cancer. N Engl J Med. 1994;330(2):81–7.View ArticlePubMedGoogle Scholar
  73. Luan N, Wu Qi-Jun, Gong Ting-Ting, Vogtmann Emily, Wang, Yong-Lai, Lin B. Breastfeeding and ovarian cancer risk: a meta-analysis of epidemiologic studies. Am J Clin Nutr. 2013. doi:10.3945/ajcn.113.062794.
  74. Wen LM, Baur LA, Simpson JM, Rissel C, Flood VM. Effectiveness of an early intervention on infant feeding practices and “tummy time”: a randomized controlled trial. Arch Pediatr Adolesc Med. 2011;165(8):701–7.View ArticlePubMedGoogle Scholar
  75. Wen LM, Baur LA, Simpson JM, Rissel C, Wardle K, Flood VM. Effectiveness of home based early intervention on children’s BMI at age 2: randomised controlled trial. Br Med J. 2012;344:e3732.View ArticleGoogle Scholar
  76. Australian Breastfeeding Association. Breastfeeding in public - your legal rights 2016 [cited 2017 January 18]. Available from: https://www.breastfeeding.asn.au/bf-info/breastfeeding-and-law/legalright.
  77. Romensky L. Mass breastfeeding protest in Bendigo sparked after mother is asked to leave food court. Online: ABC Central Victoria 2016. Available from: http://www.abc.net.au/news/2016-02-26/mass-breastfeeding-protest-in-bendigo/7199458.
  78. McKenny L. Cafe owner asks mother to call off mob after breastfeeding backlash. Online: The Sydney Morning Herald; 2013 [cited 2017 January 11]. Available from: http://www.smh.com.au/nsw/cafe-owner-asks-mother-to-call-off-mob-after-breastfeeding-backlash-20130227-2f5zv.html.
  79. Kerr J. Mums stage ‘nurse-in’ at shopping centre: The Standard; 2015 [cited 2017 January 11]. Available from: http://www.standard.net.au/story/2851175/breastfeeding-mums-stage-nurse-in/?cs=2452.
  80. Vonow B. Liana Webster forced to leave Bribie Island Aquatic Centre after breastfeeding her daughter, Rori: The CourierMail; 2013 [cited 2017 January 11]. Available from: https://www.gladstoneobserver.com.au/news/breastfeeding-mum-left-tears-after-being-told-cove/1719477/.
  81. Li R, Fein SB, Chen J, Grummer-Strawn LM. Why mothers stop breastfeeding: mothers’ self-reported reasons for stopping during the first year. Pediatrics. 2008;122(Supplement 2):S69–76.View ArticlePubMedGoogle Scholar
  82. Stuebe AM, Bonuck K. What predicts intent to breastfeed exclusively? Breastfeeding knowledge, attitudes, and beliefs in a diverse urban population. Breastfeed Med. 2011;6(6):413–20.View ArticlePubMedPubMed CentralGoogle Scholar
  83. Scott JA, Kwok YY, Synnott K, Bogue J, Amarri S, Norin E, et al. A comparison of maternal attitudes to breastfeeding in public and the association with breastfeeding duration in four European countries: results of a cohort study. Birth. 2015;42(1):78–85.View ArticlePubMedGoogle Scholar
  84. Clark KL. College Graduate Breastfeeding Photos Cause Controversy: Black Enterprise; 2014 [cited 2017 January 11]. Available from: http://www.blackenterprise.com/news/college-graduate-breastfeeding-photos-cause-controversy/.

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