Literature DB >> 27766969

The baby-friendly hospital initiative and breastfeeding at birth in Brazil: a cross sectional study.

Márcia Lazaro de Carvalho1, Cristiano Siqueira Boccolini2, Maria Inês Couto de Oliveira3, Maria do Carmo Leal4.   

Abstract

BACKGROUND: Breastfeeding in the first hour after birth is important for the success of breastfeeding and in reducing neonatal mortality. Government policies are being developed in this direction, highlighting the accreditation of hospitals in the Baby-Friendly Hospital (BFH) initiative. The aim of this study was to analyze the association between delivery in a BFH (main exposure), compared to non BFH, and timely initiation of breastfeeding (outcome).
METHODS: Data came from the "Birth in Brazil" survey, a nationwide hospital-based study of postpartum women and their newborns, coordinated by the Oswaldo Cruz Foundation. A sample of 22,035 mothers/babies was analyzed through a hierarchical theoretical model on three levels, and all analyzes considered the complex sample design. Odds ratios were obtained by logistic regression, with a 99 % CI.
RESULTS: Among all births, 40 % occurred in hospitals accredited or in accreditation process for the BFHI and 52 % of women underwent caesarean section. In the final model, at the distal level, mothers less than 35 years old, and those who lived in the North Region, had a higher chance of timely initiation of breastfeeding. At the intermediate level, prenatal care in the public sector and advice on breastfeeding during pregnancy were directly associated with the outcome. At the proximal level, being born in a Baby-Friendly Hospital and vaginal delivery increased the chance of timely initiation of breastfeeding, while prematurity and low birth weight reduced the chance of the outcome.
CONCLUSIONS: The chance of being breastfed in the first hour after birth in Baby-Friendly hospitals was twice as high as at non-accredited hospitals, which shows the importance of this initiative for timely initiation of breastfeeding.

Entities:  

Keywords:  Baby-Friendly Hospital Initiative; Breastfeeding; Cross-Sectional Studies; Maternal-Child Health Services; Maternity Hospitals; Postpartum Period

Mesh:

Year:  2016        PMID: 27766969      PMCID: PMC5073809          DOI: 10.1186/s12978-016-0234-9

Source DB:  PubMed          Journal:  Reprod Health        ISSN: 1742-4755            Impact factor:   3.223


Background

The World Health Organization recommends breastfeeding in the first hour after birth as part of the Baby-Friendly Hospital Initiative (BFHI) strategy in order to reduce neonatal mortality [1, 2] and to improve breastfeeding duration [3, 4]. The contact with human milk produced in the first days of life (colostrum), promotes intestinal colonization with saprophytes [5] and enhances the newborn immune system by providing oligosaccharides, immunoglobulin-A and other immune compounds [6]. Brazilian’s Ministry of Health has adopted BFHI as part of its breastfeeding promotion, protection and support policy, having 335 hospitals accredited in this policy in 2010 (http://www.unicef.org/brazil/pt/br_listaIHAC2010.pdf). Despite the importance of timely initiation of breastfeeding, several barriers to this practice have been identified [7, 8] including mother and hospital related barriers. Among them, caesarean section and hospital practices have major importance, since mothers have little or no power to decide if they are going to breastfeed or not their newborns [8]. Since the Baby-Friendly Hospital Initiative may play a key role in promoting timely initiation of breastfeeding, this study aimed to identify the association between delivery at a Baby-Friendly Hospital and breastfeeding at the first hour of life.

Methods

This was a hospital-based cross sectional study, with a complex sample to represent all births that occurred in hospitals with more than 500 deliveries/year in Brazil (which correspond to 78.6 % of all hospital births), with field work conducted from February 2011 to October 2012. This study, named “Birth in Brazil: national survey into labor and birth”, was coordinated by the Oswaldo Cruz Foundation and the sample was based on the National Information System [9]. The sample design was selected in three stages: in the first stage, hospitals were stratified according to the five Brazilian Regions (North, Northeast, Southeast, Midwest and South), location (state capital and other cities), and type of hospital funding (public, mixed or private), with a total of 30 strata. In this stage 266 hospitals were selected with probability of selection proportional to the number of deliveries in each strata. In the second stage, the number of days needed to interview 90 puerperal women in each hospital was selected by inverse sampling method. In the third stage, the women eligible on each day of the fieldwork were selected. Sample losses due to refusal to participate or hospital discharge were replaced by selecting other puerperal women at the same hospital. The inclusion criteria to the “Birth in Brazil” survey was: hospital live births with gestational age of more than 22 weeks recorded in the medical file or weight greater than 500 g. All miscarriages were excluded. The sample size was based on a caesarean delivery rate of 46.6 %, to detect differences of 14 % between hospitals, with an alpha of 5 % and power of 95 %, having a minimum of 341 puerperal mothers in each strata. In total, interviews were conducted with 23,940 women, among 266 hospitals distributed in 191 municipalities, covering all the 27 Brazilian states. Trained field researchers interviewed mothers with an electronic questionnaire in the first 24 h post partum. The questions were related to individual and gestational characteristics, prenatal and delivery care, neonatal characteristics, and breastfeeding at birth. A different questionnaire was applied to the hospital manager. More details about the sample design and field work can be obtained [10]. This study was approved by the Research Ethics Committee of ENSP/FIOCRUZ, under the report n°. 92/2010. Every care was taken towards ensuring privacy and confidentiality of the information. Before each interview was conducted, the interviewee’s consent was obtained, after reading the free and informed consent statement. The present study investigated the factors associated with breastfeeding at first hour of life (outcome), also denominated ‘timely breastfeeding initiation’, which has been categorized in a dichotomous way (yes, no) based on questions regarding breastfeeding at delivery room and time to initiate breastfeeding. Based on potential conditions that may impede or obstruct breastfeeding at first hour, we have established the following exclusion criteria: mothers tested positive for HIV (according to medical records) and/or with near missing condition [11]; babies who died in the neonatal period; with APGAR < 7 at 5th minute of life; with birth weight <1500 g; and/or gestational age < 32 weeks. In addition, 924 (around 4 %) mothers did not know/answer the questions about breastfeeding initiation, resulting in a final sample of 22,035 mothers and their respective babies. The exposure variable of being born in a Baby Friendly Initiative Hospital (divided in three categories: yes, in process, and no) was obtained from an interview with the hospital manager and attributed to each mother that had a delivery in that hospital. Based on a recent literature review [7] and in a conceptual framework [12], we arranged the confounding variables in a hierarchic model, in three distinct levels based on their proximity to the outcome: distal – mother and family socioeconomic characteristics; intermediate – pregnancy and prenatal characteristics; and proximal – related to delivery conditions and newborn characteristics (Fig. 1).
Fig. 1

Hierarchical theoretical model to analyze breastfeeding in the first hour after birth

Hierarchical theoretical model to analyze breastfeeding in the first hour after birth It is important to state that in Brazil we classify race/ethnicity not based on ancestry taxonomy, but based on self-reported skin color/race, according to the official Brazilian Statistic Institute ‘Instituto Brasileiro de Geografia e Estatística’ definitions, 2010. All analysis has considered the complex sample design, having the mothers that breastfed their children on the first hour of life as reference, implying to interpret the results as the chance to breastfed in the first hour after birth. Initially we estimated the Chi-square test for each variable and the outcome and obtained the unadjusted Odds Ratio (OR) and the 99 % Confidence Interval (99 % CI). To avoid residual confounding, we selected all variables with p-value ≤ 0.20 to compose the modeling process. In sequence, we estimated logistic regression models, with 99 % CI, following the hierarchic model (Fig. 1) in three steps: first, adjusting all the distal variables together and removing the ones without statistical significance; second, adjusting the intermediate variables along with the remaining distal variables and removing the intermediate ones that did not achieved p < 0.01; third, adjusting all the proximal variables with the remaining ones from the previous steps – only the variables with p-value <0.01 were retained.

Results

We found that among children born in hospitals with more than 500 deliveries/year in Brazil, 56 % were breastfed in the first hour after birth, when considering only mothers who were able to breastfeed and newborns with suckling conditions. In this study, around one mother in four did not finish the elementary schooling, more than half were primiparous, and almost all received prenatal care. When examining the delivery characteristics, 40 % had their babies in Baby- Friendly Hospitals or in accreditation process, 52 % were submitted to caesarean section delivery, and 8.7 % had premature babies with gestational week varying from 32 0/7 and 36 6/7 (Table 1).
Table 1

Prevalence of maternal, hospital and child characteristics, Brazil, 2011

Variable/categoriesNumbera Percentb 99 % CIb
Maternal age
 12–19 years417018.817.7–20.1
 20–34 years1545470.969.7–72.1
 35 years or more223210.29.4–11.1
 Missing5
Skin color/Racec
 White748634.331.9–36.9
 Black18358.47.3–9.7
 Brown1215055.753.3–58.2
 Yellow2331.10.8–1.5
 Indigenous910.40.2–0.7
 Missing4
Maternal years of schoolingd
  < = 7557225.723.8–27.7
 8 to 10556625.724.4–27.0
 11 to 148855639.437.1–41.8
 15 or more20019.27.8–10.9
 Missing103
Maternal work
 No1288559.157.4–60.8
 Yes891340.939.2–42.6
 Missing1
Marital status at delivery
 Without companion/spouse398418.317.2–19.4
 With companion/spouse1780881.780.6–82.8
 Missing6
Parity
 Primiparous1161853.352.0–54.6
 Multiparous1018046.745.4–48.0
 Missing1
Brazilian region of residence
 North21069.78.6–10.9
 Northeast616028.326.0–30.6
 Southeast931842.739.7–45.8
 South277512.711.5–14.0
 Middle West14406.65.5–7.9
 Missing0
Intended pregnancy
 Yes961944.443.0–45.8
 Did not intend to get pregnant now561925.924.7–27.2
 Not at all642029.628.2–31.1
 Missing140
Funding of prenatal care
 No prenatal care2331.10,8–1.4
 Public1506569.367.1–71.4
 Mixed8253.83.3–4.4
 Private562625.924.0–27-9
 Missing49
Information about breastfeeding at prenatal care
 No prenatal care2331.10.8–1.4
 Yes1384835.033.1–36.9
 No762463.561.6–65.4
 Missing93
Smoking during pregnancy
 No1971290.589.6–91.3
 Yes, part of pregnancy6072.82.4–3.3
 Yes, whole pregnancy14676.76.1–7.4
 Missing13
Hospital funding
 Public1727279.277.2–81.1
 Private452720.818.9–22.8
 Missing0
Baby-Friendly Hospitale
 Yes715932.825.7–40.9
 In process15717.23.7–13.5
 No1306860.051.9–67.5
 Missing0
Companion at hospital
 None520123.920.0–28.2
 Part time companion1217155.951.3–60.3
 Full time companion441820.316.5–24.6
 Missing8
Type of delivery
 Normal1024947.044.0–50.0
 Forceps3121.40.9–2.3
 Intrapartum caesarean17668.16.9–9.4
 Antepartum caesarean947243.540.9–46.1
 Missing0
Gestational age
 32 0/7 to 36 6/7 weeks19058.77.7–10.0
 37 0/7 or more1989491.390.0–92.3
 Missing0
Birth weight
 2500 g or more2018193.492.5–94.2
 1500–2499 g14226.65.8–7.5
 Missing195

aFinal valid sample of selected mother-child that answered the ‘Birth in Brazil’ questionnaire in 2011, unweighted cases

bFinal valid sample prevalence and 99 % Confidence Interval (99 % CI), considering the complex sample design

cSelf-reported skin color/race, according to Brazilian classification based on ‘Instituto Brasileiro de Geografia e Estatística’definitions, 2010

dBased on ‘Instituto Brasileiro de Geografia e Estatística’definitions, 2010

eBased on hospital manager information

Prevalence of maternal, hospital and child characteristics, Brazil, 2011 aFinal valid sample of selected mother-child that answered the ‘Birth in Brazil’ questionnaire in 2011, unweighted cases bFinal valid sample prevalence and 99 % Confidence Interval (99 % CI), considering the complex sample design cSelf-reported skin color/race, according to Brazilian classification based on ‘Instituto Brasileiro de Geografia e Estatística’definitions, 2010 dBased on ‘Instituto Brasileiro de Geografia e Estatística’definitions, 2010 eBased on hospital manager information In the bivariate analysis, we found an association (p < 0.20) between timely initiation of breastfeeding and the following distal variables: maternal age, skin color/race, maternal years of schooling, maternal work, marital status at delivery, parity, and Brazilian region of residence. Considering the intermediate variables, we found an association with prenatal care funding and information about breastfeeding at prenatal care. The proximal variables associated with the outcome were hospital funding, Baby-Friendly Hospital, type of delivery, gestational age and birth weight (Table 2).
Table 2

Unadjusted factors associated with breastfeeding in the first hour after birth, according to mother, newborn and hospital characteristics, Brazil, 2011

Variable/categoriesPrevalencea Prevalence 99 % CIa Unadjusted ORb Unadjusted OR 99 % CIb
Maternal age
 12–19 years62.558.2–66.62.011.60–2.52
 20–34 years55.851.8–59.81.521.29–1.81
 35 years or more45.340.1–50.71.00-
Skin color/racec
 White51.446.6–56.21.00-
 Black59.453.6–64.91.381.07–1.79
 Brown58.154.0–62.11.311.11–1.55
 Yellow62.648.7–74.71.580.90–2.78
 Indigenous75.753.4–89.82.941.03–8.41
Maternal years of schoolingd
  < = 762.858.7–66.72.722.08–3.55
 8 to 1061.457.1–65.72.571.96–3.36
 11 to 1452.247.6–56.91.761.41–2.19
 15 or more38.332.6–44.31.00-
Maternal work
 No60.056.2–63.81.491.31–1.70
 Yes50.245.8–54.61.00-
Marital status at delivery
 Without companion/spouse59.054.3–63.41.161.02–1.31
 With companion/spouse55.451.5–59.11.00-
Parity
 Primiparous58.654.7–62.41.00-
 Multiparous53.148.9–57.31.251.11–1.50
Brazilian region of residence
 North71.065.3–76.12.301.56–3.39
 Northeast53.747.6–59.71.090.75–1.59
 Southeast51.544.4–58.61.00-
 South61.150.7–70.61.480.89–2.47
 Middle West63.155.7–70.01.611.06–2.46
Intended pregnancy
 Yes54.049.9–58.11.00-
 Did not intend to get pregnant now56.752.2–61.11.170.98–1.26
 Not at all58.654.2–62.71.201.04–1.40
Smoking during pregnancy
 No55.651.8–59.31.00-
 Yes, part of pregnancy57.349.0–65.31.070.81–1.43
 Yes, whole pregnancy61.054.7–66.91.251.01–1.55
Funding of prenatal care
 No prenatal care52.840.2–65.01.710.98–2.99
 Public62.458.3–66.32.551.97–3.29
 Mixed52.745.3–60.01.711.23–2.38
 Private39.533.7–45.61.00-
Information about breastfeeding at prenatal care
 No prenatal care52.840.2–65.01.020.61–1.71-
 Received58.254.5–61.81.281.11–1.48
 Did not receive52.247.2–57.01.00-
Hospital fundinge
 Public61.157.0–65.12.731.94–3.86
 Private36.529.4–44.31.00-
Baby-Friendly Hospitale
 Yes69.464.9–73.62.491.85–3.34
 In process63.951.0–75.11.941.11–3.41
 No47.742.5–53.01.00-
Companion at hospital
 None55.649.8–61.21.00-
 Part time companion54.349.8–58.80.950.75–1.20
 Full time companion61.155.4–66.61.260.92–1.72
Type of delivery
 Normal70.366.2–74.13.292.67–4.06
 Forceps60.347.9–71.52.111.27–3.51
 Intrapartum caesarean48.743.0–54.41.321.07–1.63
 Antepartum caesarean41.837.2–46.51.00-
Gestational age
 32 0/7 to 36 6/7 weeks37.432.9–42.10.440.36–0.53
 37 0/7 or more57.853.9–61.61.00-
Birth weight
 1500–2499 g57.453.5–61.20.420.36–0.50
 2500 g or more36.331.0–42.01.00-
Total56.052.2–59.7

aFinal valid sample prevalence and 99 % Confidence Interval (99 % CI), considering the complex sample design

bUnadjusted Odds Ratio (OR) and 99 % CI, considering the complex sample design

cSelf-reported skin color/race, according to Brazilian classification based on ‘Instituto Brasileiro de Geografia e Estatística’definitions, 2010

dBased on ‘Instituto Brasileiro de Geografia e Estatística’definitions, 2010

eBased on hospital manager information

Unadjusted factors associated with breastfeeding in the first hour after birth, according to mother, newborn and hospital characteristics, Brazil, 2011 aFinal valid sample prevalence and 99 % Confidence Interval (99 % CI), considering the complex sample design bUnadjusted Odds Ratio (OR) and 99 % CI, considering the complex sample design cSelf-reported skin color/race, according to Brazilian classification based on ‘Instituto Brasileiro de Geografia e Estatística’definitions, 2010 dBased on ‘Instituto Brasileiro de Geografia e Estatística’definitions, 2010 eBased on hospital manager information In the final adjusted model, mothers with higher likelihood to breastfeed in the first hour after birth were less than 35 years old, residents at the North Region of Brazil (compared to the Southeast region), with prenatal care at the public sector, and who received information about breastfeeding at the first hour of life in this period. The mothers that gave birth at a Baby-Friendly Hospital and with vaginal delivery also had a higher odds to timely initiation of breastfeeding. Low birth weight and premature babies had lower odds of being breastfed in the first hour after birth (Table 3).
Table 3

Factors associated with breastfeeding in the first hour after birth in the final adjusted model, Brazil, 2011

Variable/categoriesAORa 99 % Confidence Intervala
Maternal age
 12–19 years1.33(1.02–1.74)
 20–34 years1.23(1.01–1.50)
 35 years or +1.00-
Brazilian region of residence
 North1.81(1.19–2.76)
 Northeast0.92(0.63–1.35)
 Middle West1.43(0.83–2.46)
 South1.37(0.81–2.32)
 Southeast1.00-
Funding of prenatal care
 No prenatal care0.96(0.20–4.74)
 Public1.33(1.01–1.76)
 Mixed1.35(0.92–1.99)
 Private1.00-
Information about breastfeeding at prenatal care
 No prenatal care1.03(0.30–3.56)
 Yes1.38(1.17–1.63)
 No1.00-
Baby-Friendly Hospitalb
 Yes2.07(1.50–2.86)
 In process1.44(0.71–2.93)
 No1.00-
Type of delivery
 Normal2.81(2.19–3.62)
 Forceps2.11(1.30–3.44)
 Intrapartum caesarean1.18(0.94–1.48)
 Antepartum caesarean1.00-
Gestational age
 32 0/7 to 36 6/7 weeks0.47(0.38–0.59)
 37 0/7 or more1.00-
Birth weight
 1500–2499 g0.51(0.39–0.66)
 2500 g or more1.00-

aAdjusted Odds Ratio (AOR) and 99 % CI, obtained from a logistic regression model and considering the complex sample design, adjusted for educational level and parity

bBased on hospital manager information

Factors associated with breastfeeding in the first hour after birth in the final adjusted model, Brazil, 2011 aAdjusted Odds Ratio (AOR) and 99 % CI, obtained from a logistic regression model and considering the complex sample design, adjusted for educational level and parity bBased on hospital manager information

Discussion

More than half (56 %) of the babies born in Brazil in 2011–12, with conditions that allowed breastfeeding, were timely breastfed, which represents an improvement compared to the 43 % timely breastfed babies observed in the National Survey of Demography and Health conducted in 2006 (PNDS, 2006). However, the results obtained were below those found in a survey held in 2008 in the Brazilian capitals, where 67 % of the babies were breastfed in the first hour after birth [13]. This disparity may be due to methodological differences and to the sample strategy, as the 2008 survey was conducted only in capitals and with children under one year old, while the current “Birth in Brazil” survey had a broader sample and interviewed mothers in the first day after birth, decreasing the possibility of recall bias. Several breastfeeding indicators have improved in Brazil since the National Breastfeeding Program was released by the Ministry of Health in 1981 [14]. However, only the indicator “breastfeeding in the first hour after birth” achieved the WHO status of “good” (between 50–89 % - MS, 2009). The WHO recommends putting the babies in skin-to-skin contact soon after delivery, giving mothers support to start breastfeeding within this sensitive period [15], since the newborn has the reflex to search by himself the mother’s areola [16]. Among all Brazilian deliveries, four in ten occurred in Baby-Friendly Hospitals (33 %) or in those in process to become BFH (7 %), which represents a great improvement compared to 2004, when only one in four deliveries occurred in BFH [17]. In Brazil, in 2011, the chance of being breastfed in the first hour after birth doubled if the child was born in a BFH. A similar effect was observed in a maternity hospital in the accreditation process to become BFH in the South of Brazil [18], corroborating the importance of BFH accreditation to improve not only timely breastfeeding, but also exclusive breastfeeding duration among healthy newborns [19] and those that need intensive care treatment [20], as well as to reduce pacifier use [21]. Although WHO recommends a caesarean section delivery rate of 10 % [22], our study found a c-section rate of 52 %. These rates differed between BFH (40.6 %) and non BFH (58.9 %), which may be explained by an additional criteria established by the Brazilian Ministry of Health for certification as a Baby-Friendly Hospital (besides the UNICEF/WHO requirements of compliance with the 10 steps): the reduction of caesarean section rates [23]. In the “Birth in Brazil” study, children born by vaginal delivery had almost a three times chance of being breastfed in the first hour after birth than those born by c-section. This is consistent with the results of a study conducted in Rio de Janeiro, where c-section reduced by half the prevalence of breastfeeding in the first hour after birth [8], and with the findings of a systematic review: c-section is the most frequent factor negatively associated with timely breastfeeding [7], since post partum procedures and routines may delay the early contact between mother and baby. Moreira et al. [24] reported a synergic effect of vaginal delivery and Baby-Friendly Hospitals, as both represent good hospital practices to the newborn. We assume that caesarean section should not represent a risk to timely breastfeeding if both newborns and mothers are in good condition if the surgery occurs after initiation of labor signs, which could indicate the newborn maturity to initiate breastfeeding. However, the caesarean rate in Brazil is significantly higher in the private sector, with approximately 80 % of caesarean sections carried out without the mother having gone into labor [25]. Both premature and low birth weight newborns had half the chance of being breastfed in the first hour after birth. This can be due to unnecessary routines and interventions (oxygen therapy, aspirating the superior airways, among others) that may unnecessarily separate mother and child in the delivery room [24]. Our study only included premature newborns with 32 0/7 to 36 6/7 gestational weeks, and low birth weight children between 1500 and 2499 g, conditions which, besides inspiring extra care, may not be a barrier to breastfeeding in the first hour after birth. It is important to improve both prematurity prevention and neonatal care to the most vulnerable children [26], since another study also showed prematurity as a risk factor to breastfeeding in the first hour after birth [27]. Mothers that received information about breastfeeding during prenatal care had higher chances to breastfed their babies in the first hour after birth, similar to the result of a study conducted in Bahia [27] (Vieira, 2010), showing the importance of prenatal care to breastfeeding initiation. Considering distal factors, only mother’s age and region of residence were associated with the outcome. A study in the South of Brazil also found an association between mother’s age above 34 years and lower chances of breastfeeding in the first hour after birth [18]. This result could be due to a cohort effect, as older mothers were less exposed to the increasing practice of breastfeeding at birth in Brazil [28]. As to the region of residence, a national survey conducted in 2006 [28] and a study in the Brazilian capitals in 2008 [13] evidenced a higher prevalence of breastfeeding in the first hour in the North region of Brazil, what can be due to cultural factors, since most of the indigenous population are concentrated in this region.

Conclusions

The studied proximal factors were the most strongly associated with timely breastfeeding, bringing evidence about the importance of adopting Baby-Friendly Hospital Initiative to improve perinatal practices and timely breastfeeding initiation. Special attention should be given to the negative association found between caesarean section delivery without clinical indication and breastfeeding in the first hour after birth, bringing more evidence to the ongoing government efforts to diminish this harmful practice in Brazil. Prematurity and low birth weight are factors difficult to be modified, but gains in prenatal care access and quality could contribute to a decline on their prevalence and to improve timely breastfeeding rates. We recommend the reinforcement of BFHI implementation, extending this initiative to the private sector. This measure could contribute not only to improve timely breastfeeding rates, but also reducing unnecessary caesarean section delivery.

Portuguese version

A Portuguese translation of this article is available as Additional file 1.

Peer review

The reviewer reports for this article are available as Additional file 2.
  22 in total

1.  [The Baby-Friendly Hospital Initiative and breastfeeding in a neonatal unit].

Authors:  Marli T Oliveira Vannuchi; Carlos Augusto Monteiro; Marina Ferreira Réa; Selma Maffei de Andrade; Tiemi Matsuo
Journal:  Rev Saude Publica       Date:  2004-07-08       Impact factor: 2.106

2.  The role of conceptual frameworks in epidemiological analysis: a hierarchical approach.

Authors:  C G Victora; S R Huttly; S C Fuchs; M T Olinto
Journal:  Int J Epidemiol       Date:  1997-02       Impact factor: 7.196

3.  Breastfeeding during the first hour of life and neonatal mortality.

Authors:  Cristiano Siqueira Boccolini; Márcia Lazaro de Carvalho; Maria Inês Couto de Oliveira; Rafael Pérez-Escamilla
Journal:  J Pediatr (Rio J)       Date:  2013 Mar-Apr       Impact factor: 2.197

4.  Obstetric interventions during labor and childbirth in Brazilian low-risk women.

Authors:  Maria do Carmo Leal; Ana Paula Esteves Pereira; Rosa Maria Soares Madeira Domingues; Mariza Miranda Theme Filha; Marcos Augusto Bastos Dias; Marcos Nakamura-Pereira; Maria Helena Bastos; Silvana Granado Nogueira da Gama
Journal:  Cad Saude Publica       Date:  2014-08       Impact factor: 1.632

5.  The Baby-Friendly Hospital Initiative shows positive effects on breastfeeding indicators in Brazil.

Authors:  Sonia Isoyama Venancio; Sílvia Regina Dias Médici Saldiva; Maria Mercedes Loureiro Escuder; Elsa Regina Justo Giugliani
Journal:  J Epidemiol Community Health       Date:  2011-11-11       Impact factor: 3.710

6.  Early contact versus separation: effects on mother-infant interaction one year later.

Authors:  Ksenia Bystrova; Valentina Ivanova; Maigun Edhborg; Ann-Sofi Matthiesen; Anna-Berit Ransjö-Arvidson; Rifkat Mukhamedrakhimov; Kerstin Uvnäs-Moberg; Ann-Marie Widström
Journal:  Birth       Date:  2009-06       Impact factor: 3.689

7.  Effect of delivery room routines on success of first breast-feed.

Authors:  L Righard; M O Alade
Journal:  Lancet       Date:  1990-11-03       Impact factor: 79.321

8.  Determinants of breastfeeding initiation within the first hour of life in a Brazilian population: cross-sectional study.

Authors:  Tatiana O Vieira; Graciete O Vieira; Elsa Regina J Giugliani; Carlos M C Mendes; Camilla C Martins; Luciana R Silva
Journal:  BMC Public Health       Date:  2010-12-09       Impact factor: 3.295

9.  Birth in Brazil: national survey into labour and birth.

Authors:  Maria do Carmo Leal; Antônio Augusto Moura da Silva; Marcos Augusto Bastos Dias; Silvana Granado Nogueira da Gama; Daphne Rattner; Maria Elizabeth Moreira; Mariza Miranda Theme Filha; Rosa Maria Soares Madeira Domingues; Ana Paula Esteves Pereira; Jacqueline Alves Torres; Sonia Duarte Azevedo Bittencourt; Eleonora D'orsi; Antonio Jla Cunha; Alvaro Jorge Madeiro Leite; Rejane Silva Cavalcante; Sonia Lansky; Carmem Simone Grilo Diniz; Célia Landmann Szwarcwald
Journal:  Reprod Health       Date:  2012-08-22       Impact factor: 3.223

Review 10.  Factors associated to breastfeeding in the first hour of life: systematic review.

Authors:  Tania Maria Brasil Esteves; Regina Paiva Daumas; Maria Inês Couto de Oliveira; Carlos Augusto de Ferreira de Andrade; Iuri Costa Leite
Journal:  Rev Saude Publica       Date:  2014-08       Impact factor: 2.106

View more
  5 in total

1.  Why mothers are not exclusively breast feeding their babies till 6 months of age? Knowledge and practices data from two large cities of the Kingdom of Saudi Arabia.

Authors:  Hafsa Raheel; Shabana Tharkar
Journal:  Sudan J Paediatr       Date:  2018

2.  Born in Brazil: shining a light for change.

Authors:  Maria Regina Torloni; Ana Pilar Betrán; José M Belizán
Journal:  Reprod Health       Date:  2016-10-17       Impact factor: 3.223

3.  Social support modifies the association between pre-pregnancy body mass index and breastfeeding initiation in Brazil.

Authors:  Mariana Pujól von Seehausen; Rafael Pérez-Escamilla; Maria Inês Couto de Oliveira; Maria do Carmo Leal; Cristiano Siqueira Boccolini
Journal:  PLoS One       Date:  2020-05-21       Impact factor: 3.240

4.  External evaluation and self-monitoring of the Baby-friendly Hospital Initiative's maternity hospitals in Brazil.

Authors:  Renara Guedes Araújo; Vânia de Matos Fonseca; Maria Inês Couto de Oliveira; Eloane Gonçalves Ramos
Journal:  Int Breastfeed J       Date:  2019-01-05       Impact factor: 3.461

5.  Is there an "acceptable" percentage of using infant formula during hospital stays?

Authors:  Cristiano Siqueira Boccolini; Cesar Gomes Victora
Journal:  J Pediatr (Rio J)       Date:  2022-05-26       Impact factor: 2.990

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.