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Vol. 36. Issue 1.
Pages 6-11 (January - February 2022)
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Vol. 36. Issue 1.
Pages 6-11 (January - February 2022)
Original article
Open Access
Factors related to inhibition of lactation by pharmacological means at birth in a Spanish referral hospital (2011-2017)
Factores relacionados con la inhibición de la lactancia por medios farmacológicos al nacer en un hospital de referencia español (2011-2017)
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Anna Llupiàa,b,
Corresponding author
allupia@clinic.cat

Corresponding author.
, Isabel Toràa,b, Alba Lladóc, Teresa Coboc,d,e, Josep Miquel Sotocaf, Joaquim Puigg
a Preventive Medicine and Epidemiology Unit, Hospital Clínic, Barcelona, Spain
b Department of Medicine, University of Barcelona, Barcelona, Spain
c BCNatal-Barcelona Center for Maternal-Fetal and Neonatal Medicine, Hospital Clínic and Hospital Sant Joan de Déu, Barcelona, Spain
d Fetal I+D Fetal Medicine Research Center, IDIBAPS, University of Barcelona, Barcelona, Spain
e Center for Biomedical Research on Rare Diseases (CIBER-ER), Spain
f Pharmacy Unit, Hospital Clínic, Barcelona, Spain
g Department of Mathematics, Universitat Politècnica de Catalunya, Barcelona, Spain
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Tables (3)
Table 1. The main maternal, neonatal and pregnancy characteristics.
Table 2. Bivariate analysis of lactation inhibition at the Hospital Clinic of Barcelona from 2011 to 2017.
Table 3. Multivariate analysis of lactation inhibition at the Hospital Clínic of Barcelona from 2011 to 2017.
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Abstract
Objective

To describe the maternal, neonatal and pregnancy characteristics related to inhibition of lactation (IL) with cabergoline.

Method

We assessed 20,965 occasions of breastfeeding initiation, according to data collected from obstetric records at the Hospital Clinic of Barcelona (Spain) between January 2011 and December 2017.

Results

IL decreased over the study period from 8.78% to 6.18% (odds ratio [OR]: 0.93 per year; 95% confidence interval [95%CI]: 0.90-0.95). Women with a lower educational level (OR: 2.5; 95%CI: 2.0-3.0), mothers living in more depressed areas (OR: 1.08 per 10 extra points over 100; 95%CI: 1.04-1.12), smokers (OR: 2.2; 95%CI: 1.9-2.6), and those with more children (OR: 1.2 for each sibling; 95%CI: 1.1-1.3), preterm birth (OR: 1.8; 95%CI: 1.4-2.3), multiple births (OR: 1.6; 95%CI: 1.2-2.1) and a higher risk pregnancy (OR: 1.3 per risk point; 95%CI: 1.2-1.4) showed a higher prevalence of IL. Compared to women born in Spain, IL was less likely in all other women with the exception of Chinese women (OR: 7.0; 95%CI: 5.7-8.6). These disparities remained during the study period.

Conclusions

Factors related to lower socioeconomic status and poor health were more likely to be associated with IL. The overall use of cabergoline decreased during the study period while inequalities persisted. Taking these inequalities into account is the first step to addressing them.

Keywords:
Breastfeeding
Health status disparities
Social determinants of health
Lactation suppression
Breastfeeding initiation
Resumen
Objetivo

Describir las características maternas, neonatales y del embarazo relacionadas con la inhibición de la lactancia (IL) con cabergolina.

Método

Se evaluaron 20.965 ocasiones de inicio de lactancia, según los registros obstétricos del Hospital Clínic de Barcelona (2011-2017).

Resultados

La IL disminuyó durante el periodo de estudio del 8,78% al 6,18% (odds ratio [OR]: 0,93 anual; intervalo de confianza del 95% [IC95%]: 0,90-0,95). Las mujeres con menor nivel educativo (OR: 2,5; IC95%: 2,0-3,0), las madres que viven en áreas más deprivadas (OR: 1,08 por 10 puntos extra sobre 100; IC95%: 1,04-1,12), las fumadoras (OR: 2,2; IC95%: 1,9-2,6), las que tienen más hijos (OR: 1,2 por cada hermano; IC95%: 1,1-1,3), los nacimientos prematuros (OR: 1,8; IC95%: 1,4-2,3), los nacimientos múltiples (OR: 1,6; IC95%: 1,2-2,1) y los embarazos de mayor riesgo (OR: 1,3 por punto de riesgo; IC95%: 1,2-1,4) tuvieron una mayor prevalencia de IL. Respecto a las mujeres nacidas en España, la IL fue menor que en las demás mujeres, con la excepción de las nacidas en China (OR: 7,0; IC95%: 5,7-8,6). Estas desigualdades se mantuvieron durante el periodo de estudio.

Conclusiones

Los factores relacionados con el bajo nivel socioeconómico y la mala salud tuvieron más probabilidades de estar asociados con la IL. El uso de cabergolina disminuyó durante el periodo de estudio, mientras que las desigualdades se mantuvieron. Tener en cuenta estas desigualdades es el primer paso para abordarlas.

Palabras clave:
Lactancia materna
Desigualdades en el estado de salud
Determinantes sociales de la salud
Supresión de la lactancia materna
Inicio de la lactancia materna
Full Text
Introduction

The beneficial health effects of breastfeeding for infants and mothers have been well-established and the World Health Organization (WHO) recommends that infants be exclusively breastfed for the first 6 months of life and be continued for a minimum of 2 years.1 Differences in breastfeeding are part of the health inequalities beginning in childhood.2 A number of studies have described different prevalence of breastfeeding initiation (BI) in terms of maternal, newborn and hospital characteristics.3 For example, it has been described that the prevalence of breastfeeding initiation is higher in older working women with a higher socioeconomic level.4–9 Several studies have reported that maternal origin also plays a role in BI.10–12 The prevalence of breastfeeding depends on hospital practices13 and is higher in mothers expressing prenatal and pre-pregnancy intention of breastfeeding14 and in those with a higher perception of self-efficacy.15 The inequalities of BI have been evaluated in high-income countries such as Ireland,5 the Netherlands,9 Croatia,16 Canada,4 Scotland,8 Australia,17 the United States of America6,7 and the United Kingdom.18 The WHO recommends the evaluation of these inequalities and studies on their trends over time,19 considering the impact breastfeeding has on the health of mothers and infants along their lives.2

According to the 2015 Health Survey, in Catalonia, 84.8% of newborns were breastfed at birth20 with some inequalities having been described in Spain.21–23 Nonetheless, some mothers wish not to breastfeed or breastfeeding may be contraindicated for medical reasons.24 In these cases, pharmacological inhibition of lactation (IL) with cabergoline is the most common practice.25 To our knowledge, there are no studies describing the characteristics associated with cabergoline prescription for IL. Therefore, the present study describes the maternal, neonatal and pregnancy characteristics related to IL with cabergoline at birth.

Method

We conducted a retrospective cohort study of women, followed during pregnancy, with obstetric clinic history records who had delivered at least one live infant at the Hospital Clínic de Barcelona (HCB), a large university referral hospital, between January 2011 and December 2017. Singleton stillbirth and pregnancy interruptions were excluded. IL was defined as the administration of 1mg of carbegoline while hospitalised during the postpartum period.25

Maternal variables (age, country of origin, parity, educational level, professional status, tobacco, alcohol or other drug use during pregnancy, antenatal intention of natural birth, area of residence, pregnancy variables [gestation risk level according to local guidelines,24 0: low, 1: intermediate, 2: high, 3: very high], multiple gestation, year of delivery, gestational age at delivery, type of delivery) and newborn characteristics (sex, use of reanimation procedures) were obtained through the medical records of the Maternal-Fetal Medicine Department during pregnancy, delivery and postpartum hospitalisation. Human immunodeficiency virus (HIV) status and drug use that required IL were considered medical contraindications to breastfeed. The area of residence was used to determine if the case belonged to the area of reference of the hospital or was referred to for high complexity. Each woman was assigned the socioeconomic index of their area of residence from the Catalonian Health System,26 which reflects socioeconomic differences using a formula including occupation, social class, education, living conditions, income, social cohesion, among others. This indicator provides a score ranging from 0-100 indicating low to high deprivation.26 Cabergoline use and date of administration were obtained from the hospital pharmacy records. Cabergoline use postpartum was established as the main endpoint.

Absolute frequencies and percentages were used to describe categorical variables and means and standard deviation or 95% confidence intervals (95%CI) to describe quantitative variables with a normal distribution, and medians and interquartile range otherwise. Bivariate analysis was made using cabergoline administration for IL (yes/no) as the response variable in a logistic regression model. Multivariate logistic regression analysis was carried out including significant variables in the bivariate analysis and those considered relevant due to their clinical interest. Disaggregated analysis per year of delivery was performed. The odds ratio (OR) and 95%CI were calculated and statistical significance was established as p <0.05. The analysis was performed using the R statistical software, version 3.5.

Results

Of the 20,965 occasions for BI, 6.86% women received cabergoline to suppress breastfeeding. The main maternal, neonatal and pregnancy characteristics are described in Table 1.

Table 1.

The main maternal, neonatal and pregnancy characteristics.

    n (mean/SD)  % (range)   
Maternal age (years)  32.59 (5.48)  13-58     
Maternal country of origin  Spain  12,976  61.9%   
  Western Europe  1,186  5.7%   
  Russia and Eastern Europe  741  3.5%   
  Northern Africa  690  3.3%   
  Central and Southern Africa  133  0.6%   
  Latin America  2,856  13.6%   
  North America and Australia  84  0.4%   
  India and Pakistan  739  3.5%   
  China  763  3.6%   
  Rest of Asia  791  3.8%   
  Missing  0.0%   
Pregnancy risk (score)  1.85 (1.02)  0-3     
Length of pregnancy  Preterm  1,928  9.2%   
  Term  19,037  90.8%   
Newborn sex  Female  10,089  48.1%   
  Male  10,875  51.9%   
  Missing  0.0%   
Multiple birth  Yes  912  4.4%   
  No  20,053  95.7%   
  Missing  0%   
Total    20,965     

SD: standard deviation.

The HCB attends inhabitants from the city of Barcelona (67%) and is a reference center for more complex cases from the rest of Catalonia and Spain (43%). The population included 90 (0.4%) HIV positive women and 118 (0.5%) drug users in whom breastfeeding was contraindicated. Three women (0.1%) satisfied both conditions. The proportion of these groups in 2011 and 2017 did not differ significantly. The overall prevalence of cabergoline use decreased from 8.78% to 6.18% (OR: 0.93 per year; 95%CI: 0.90-0.95) during the study period.

Several variables showed significant association with IL in the bivariate analysis (Table 2). Disaggregated data analysis per year of delivery showed no significant changes in the other variables.

Table 2.

Bivariate analysis of lactation inhibition at the Hospital Clinic of Barcelona from 2011 to 2017.

  Lactation inhibition  Total  OR 
  N (%)    Univariate (yes vs. no) 
Multiple births
No  1343 (6.7%)  20053 
Yes  96 (10.5%)  912  1.64 (1.31-2.03) 
Education level
Higher  398 (3.9%)  10232   
Secondary  561 (8.2%)  6354  2.39 (2.10-2.73) 
Primary or None  341 (11.7%)  2925  3.26 (2.80-3.79) 
Pregnancy risk
Mean (SD)  2.08 (0.97)  1.85 (1.02)  1.29 (1.22-1.37) 
Natural birth intention
Yes  130 (3.2%)  4016 
No  1305 (7.7%)  16911  2.50 (2.09-3.02) 
Maternal age
Mean (SD)  31.9 (5.9)  32.6 (5.5)  0.98 (0.97-0.99) 
Country of origin
Spain  964 (7.4%)  12976 
Western Europe  30 (2.5%)  1186  0.32 (0.22-0.46) 
Russia and Eastern Europe  29 (3.9%)  741  0.51 (0.34-0.73) 
Northern Africa  20 (2.9%)  690  0.37 (0.23-0.57) 
Central and South Africa  20 (15%)  133  2.21 (1.33-3.48) 
Latin America  71 (2.5%)  2856  0.32 (0.25-0.40) 
North America and Australia  3 (3.6%)  84  0.46 (0.11-1.24) 
India and Pakistan  19 (2.6%)  739  0.33 (0.20-0.51) 
China  256 (33.6%)  763  6.29 (5.33-7.41) 
Rest of Asia  27 (3.4%)  791  0.44 (0.29-0.64) 
Occupation
Unemployed  390 (8.6%)  4542 
Housewife  86 (7.4%)  1157  0.85 (0.67-1.08) 
Self-employed  85 (6.6%)  1294  0.75 (0.58-0.95) 
Employed  772 (6.1%)  12681  0.69 (0.61-0.78) 
Student  10 (5.2%)  192  0.58 (0.29-1.06) 
Parity
Mean (SD)  0.81 (0.90)  0.63 (0.82)  1.27 (1.20-1.35) 
Length of pregnancy
Preterm  150 (7.8%)  1928 
Term  1289 (6.8%)  19037  0.86 (0.72-1.03) 
Socioeconomic level
Mean (SD)  37.3 (18.9)  34.2 (18.6)  1.10 (1.07-1.13) 
Tobacco use
No  1114 (6.0%)  18671 
Yes  325 (14.2%)  2294  2.60 (2.28-2.97) 
Alcohol use
No  1420 (6.8%)  20808 
Yes  19 (12.1%)  157  1.88 (1.12-2.97) 
Other drug use
No  1416 (6.8%)  20847 
Yes  23 (19.5%)  118  3.32 (2.05-5.16) 
Reanimation
No  1357 (6.9%)  19646 
Yes  82 (6.2%)  1319  0.89 (0.70-1.12) 
Birth procedure
Natural, no anaesthesia  140 (5.4%)  2614 
Caesarean section  420 (7.4%)  5709  1.40 (1.16-1.71) 
Natural with anaesthesia  771 (7.1%)  10842  1.35 (1.13-1.63) 
Vaginal with instrumentation  103 (5.8%)  1764  1.10 (0.84-1.42) 
Newborn sex
Female  707 (7.0%)  10089 
Male  732 (6.73%)  10875  0.96 (0.86-1.07) 

OR: odds ratio; SD: standard deviation.

Tobacco and alcohol use, and tobacco and other drug use were confounding factors in the multivariate model. Alcohol and other drug use were not considered in the final model. Age and parity, and parity and country of origin were also confounding factors. A total of 11.2% of women had more than one delivery resulting in a live infant during the study period. The variable parity was a proxy of repeated episodes, and was maintained for sensitivity analysis. After testing the correlation among age, parity and year of delivery (Spearman test parity and age p=0.09; year of delivery and age p=0.09; year of delivery and parity p=0.13), the year of delivery was excluded and shown separately. Models with and without missing values showed no differences. All the models show the analysis without missing values.

Table 3 shows a multivariate model with selected variables. IL was significantly higher in women with no education or with primary studies compared to women with a higher education and those living in more economically depressed areas. Breastfeeding was also more inhibited in women who did not wish to undergo natural birth, smokers, with previous children, at term versus preterm birth, in women with multiple births and in those with a higher risk pregnancy. Taking Spanish women as the reference, women born in Northern Africa, India and Pakistan, Russia and Eastern and Western Europe were less likely to inhibit breastfeeding. IL was significantly more likely in Chinese women. A multivariate model with disaggregated data considering the place of residence (city of Barcelona versus the rest of Catalonia) showed no differences.

Table 3.

Multivariate analysis of lactation inhibition at the Hospital Clínic of Barcelona from 2011 to 2017.

  OR Inhibition of lactation 
Multiple birth (yes vs. no)  1.62 (1.21-2.14) 
Maternal education (ref. Higher)
Secondary  1.95 (1.68-2.27) 
Primary or none  2.45 (2.03-2.96) 
Pregnancy risk (0-3 score)  1.28 (1.20-1.38) 
Intention of natural birth (no vs. yes)  2.24 (1.79-2.83) 
Maternal age (years)  1.00 (0.99-1.01) 
Maternal country of origin (ref. Spain)
Western Europe  0.54 (0.35-0.79) 
Russia and Eastern Europe  0.37 (0.23-0.58) 
Northern Africa  0.19 (0.10-0.32) 
Central and Southern Africa  1.60 (0.88-2.73) 
Latin America  0.30 (0.23-0.39) 
North America and Australia  1.24 (0.30-3.43) 
India and Pakistan  0.16 (0.08-0.27) 
China  6.99 (5.65-8.64) 
Rest of Asia  0.35 (0.22-0.54) 
Tobacco use (yes vs. no)  2.22 (1.91-2.59) 
Profession (ref. Unemployed)
Housewife  0.92 (0.70-1.20) 
Self-employed  0.98 (0.74-1.29) 
Employed  0.85 (0.73-0.99) 
Student  0.80 (0.37-1.55) 
Parity  1.20 (1.11-1.29) 
Term vs. preterm birth  1.78 (1.39-2.30) 
Socioeconomic level of residence area (per 10 points)  1.08 (1.04-1.12) 
Procedure (ref. Natural without anaesthesia)
Caesarean section  1.10 (0.85-1.43) 
Natural with anaesthesia  1.08 (0.86-1.38) 
Vaginal with instrumentation  0.98 (0.71-1.34) 

OR: odds ratio.

Discussion

To our knowledge this is the first study to describe the maternal, neonatal and pregnancy characteristics related to inequalities in pharmacological inhibition of lactation in the postpartum period. Some factors related to a lower socioeconomic status and poor health were found to be more likely associated with IL. The overall use of cabergoline decreased during the study period while inequalities remained the same. The country of birth of the mothers was also associated with the prevalence of IL.

The first step for successful breastfeeding is early initiation. Although IL and BI are not the same, they are closely related. In high-income countries, many of the factors which this study found to be associated with IL have also been reported to be associated with BI. The results of this study show a slight decrease in the IL. The overall decrease of IL is aligned with the general tendency to increase BI in Catalonia,20 which passed from 82.5% in 2011 to 87.5% in 2016. In the world, this tendency is also observed since the beginning of the 21st century.27,28 In addition, the inequalities found were similar to those reported in previous studies on BI conducted in Spain.21,23,29 The gap between IL found in our study and the BI described in the general population could be explained in part by early failure in women willing to breastfeed.

Since the medical contraindication to breastfeed is very low, we can assume that the majority of cases of IL were the result of mother's decision, but more research is needed. The persistence of inequalities has also been described in other populations,4,30,31 indicating the need to address them. No differences among the variables of the model or in the proportion of medical contraindications for lactation were detected in the study period, maybe due to the small size of the subgroups.

Similarly to our findings in LI, a lower BI is associated with women with a lower socioeconomic status,3 living in more economically depressed areas7,8,21,23 and in those with a lower level of education.8,23 Our study found IL to be higher in smokers5 and in multiple pregnancies, both being similar to what has been reported in BI,23,32 and with a higher pregnancy risk. Possible explanations for this include an increased perception of difficulty, a lower feeling of self-efficacy and less specific support for these groups. Our study also described more IL in women with a second child and following children, which could be partly explained by previously negative breastfeeding experiences, within a context in which breastfeeding is suboptimal.3,33,34

The results of previous studies are not conclusive in regard to the effect of prematurity on BI. Some authors have found a lower BI in these,11,23 while others describe no differences.35 Many premature newborns have difficulties in BI, although the maternal intention is to breastfeed and therefore do not inhibit lactation, making comparison between IL and BI difficult. Nevertheless, the HCB has a specific program for prematurity that probably explains why preterm mothers are less likely to inhibit lactation in our setting. According to one study,11 which reported differences in lactation in premature infants based on the ethnicity of the mother, different degrees of prematurity as well as interaction with different variables should be considered in IL.

When we analysed maternal age or mode of delivery independently from the rest of the variables, we observed an increase in IL in younger women and in those undergoing caesarean section, as reported by other studies on BI.5,6,11,21,23 However, we found that on adjustment for the rest of the variables, neither maternal age nor mode of delivery were significant. Similarly to the case of prematurity, this highlights the differences between BI and IL.

As described in other studies on BI,5–7 the results of our study show the lower the level of education the higher the prevalence of IL.3 Employed mothers, the study group with longest and best paid maternity leaves, were also found to be less likely to inhibit lactation. This finding supports the WHO advocacy for paid maternity leave.

The origin of the mothers has an effect on IL. Although there is no idiomatic barrier, the prevalence of IL in Spanish mothers was neither the highest nor the lowest. With the exception of Chinese women,21,23 all other origins showed a better prevalence of BI. Several studies have described these disparities in Europe and the US5–7,10–12,29 and have shown that mothers whose country of residence is different from the country of origin are more likely to initiate breastfeeding. The prevalence of IL among migrant women in our study is probably higher when the prevalence of BI in their countries of origin is lower. Taking Chinese mothers as an example, it was found27 that almost 70% of women in China initiated breastfeeding in 2014, which is the same prevalence we found for non-IL. Another study conducted in Spain22 also found Chinese mothers to be less likely to breastfeed which was attributed to the working conditions of Chinese mothers in Spain and some mothers sending their newborns to their extended families in China (12%).

Registering separately IL from BI failure and studying the reasons and motivations associated with them could shed some light on the promotion of breastfeeding and needs of support for new mothers. More support to breeding women could be offered and health care and maternal groups could be tailored to specific groups, some of them even during pregnancy (e.g., multiple gestations, high risk pregnancies, non-first child pregnancies, preterm birth). Primary care and hospital coordination in a lactation committee following the Initiative for the Humanization of Assistance to Birth and Lactation guidelines could help to improve knowledge and coordinate measures to address inequalities. Besides, medical contraindications should be prevented in advance (HIV infection and drug use prevention). Health policies should take into account that lactation is more likely to be suppressed in women who live in more deprived areas, who are not employed, have a lower level of education and are in situations with greater risk of poor health and high risk habits (higher gestational risk, multiple births, smokers), showing how health disparities can be transmitted among generations.

A limitation of this study is that socioeconomic variables were limited to the ones presented in the analysis, since they were not registered. The socioeconomic variable refers to the area of residence. The number of years of residence in Spain of migrant women was not known. Another limitation is that data included are from only one setting, a referral hospital, that receives patients from all over Catalonia. Considering this limitation, data from patients from the referral area have been analysed separately from the referred ones and no differences were found. Some variables are recorded in an incomplete way, like parity, which does not include previous experiences in lactation, and attendance to maternal education programs. Finally, one quarter of the population of Catalonia also has private medical insurance apart from the public, universal, health coverage provided. Women with a higher income may use their private insurance when delivering and this may induce an underestimation in the differences in socioeconomic variables.

One strength of this study was the inclusion of the whole population attended at the HCB over a 7-year period. Another strength is the use of the pharmacy records as the source of the data. To our knowledge this is the first study to use these records and this provides a good description of IL at birth.

Conclusions

The IL in puerperal women is related to several factors including a lower socioeconomic status and poor health. The overall use of cabergoline decreased during the study period while inequalities among the women studied persisted. Nonetheless, taking these inequalities into account is the first step to addressing them.

What is known about the topic?

Inequalities in breastfeeding initiation have an impact on the health of mothers and infants along their lives. Socioeconomic factors associated with breastfeeding initiation in high-income countries have been described.

What does this study add to the literature?

This study describes disparities in inhibition of lactation by pharmacological means by showing that factors related to lower socioeconomic status and risk of poor health are more likely associated with it.

What are the implications of the results?

Disparities in lactation inhibition could be monitored and addressed through tailored support and preventive interventions.

Editor in charge

Clara Bermúdez-Tamayo.

Transparency declaration

The corresponding author on behalf of the other authors guarantee the accuracy, transparency and honesty of the data and information contained in the study, that no relevant information has been omitted and that all discrepancies between authors have been adequately resolved and described.

Authorship contributions

A. Llupià and T. Cobo designed the study. A. Llupià/A. Lladó, I. Torà and J. Puig analysed the data. A. Llupià and J. Puig drafted the manuscript. All the authors contributed to the interpretation of the data and revision of the manuscript. A. Llupià had primary responsibility for final content and acts as guarantor. All authors read and approved the final manuscript.

Availability of databases and materials

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy restrictions.

Ethical statement

The study was performed according to the principles of the Declaration of Helsinki. Since this study is based on routinely collected medical records, informed consent was not obtained. All personal data were dissociated and treated as confidential at all times. The study was approved by the HCB Clinical Research Ethics Committee (HCB/2018/0604).

Funding

The research of JP is supported by MINECO-FEDER Grant PGC2018-098676-B-I00/AEI/FEDER/UE.

Conflicts of interest

A. Llupià has participated as investigator in clinical trials of vaccines (Clostridium, Meningococcal and others) promoted by GlaxoSmithKline, Merck and Pfizer.

Acknowledgements

The authors would like to thank the developers of the HCO registry and all the health care providers who have maintained the database during the last decade. We also thank the Information and Reporting Department and especially Anna Sabater, for sharing the data and Donna Pringle for language revision.

References
[1]
C.G. Victora, R. Bahl, A.J.D. Barros, et al.
Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect.
Lancet., 387 (2016), pp. 475-490
[2]
P. Braveman, C. Barclay.
Health disparities beginning in childhood: a life-course perspective.
Pediatrics., 124 (2009), pp. S163-S175
[3]
S.S. Cohen, D.D. Alexander, N.F. Krebs, et al.
Factors associated with breastfeeding initiation and continuation: a meta-analysis.
J Pediatr., 203 (2018), pp. 190-196
[4]
N.C. Nickel, P.J. Martens, D. Chateau, et al.
Have we left some behind?.
Trends in socio-economic inequalities in breastfeeding initiation: a population-based epidemiological surveillance study. Can J Public Health., 105 (2014), pp. e362-e368
[5]
E.L. Ladewig, C. Hayes, J. Browne, et al.
The influence of ethnicity on breastfeeding rates in Ireland: a cross sectional study.
J Epidemiol Community Health., 68 (2014), pp. 356-362
[6]
E.H. Anstey, J. Chen, L.D. Elam-Evans, et al.
Racial and geographic differences in breastfeeding — United States, 2011-2015.
MMWR Morb Mortal Wkly Rep., 66 (2017), pp. 723-727
[7]
C.O. McKinney, J. Hahn-Holbrook, P.L. Chase-Lansdale, et al.
Racial and ethnic differences in breastfeeding.
Pediatrics., 138 (2016),
[8]
V. Skafida.
Change in breastfeeding patterns in Scotland between 2004 and 2011 and the role of health policy.
Eur J Public Health., 24 (2014), pp. 1033-1041
[9]
L. Van Rossem, A. Oenema, E.A.P. Steegers, et al.
Are starting and continuing breastfeeding related to educational background?.
The Generation R Study. Pediatrics., 123 (2009), pp. e1017-e1027
[10]
L. Van Rossem, I. Vogel, E.A.P. Steegers, et al.
Breastfeeding patterns among ethnic minorities: The Generation R Study.
J Epidemiol Community Health., 64 (2010), pp. 1080-1085
[11]
A. Merewood, D. Brooks, H. Bauchner, et al.
Maternal birthplace and breastfeeding initiation among term and preterm infants: a statewide assessment for Massachusetts.
Pediatrics., 118 (2006), pp. e1048-e1054
[12]
C.-L. Dennis, R. Shiri, H.K. Brown, et al.
Breastfeeding rates in immigrant and non-immigrant women: a systematic review and meta-analysis.
Matern Child Nutr., 15 (2019),
[13]
R. Pérez-Escamilla, J.L. Martínez, S. Segura-Pérez.
Impact of the Baby-Friendly Hospital Initiative on breastfeeding and child health outcomes: a systematic review.
Matern Child Nutr., 12 (2016), pp. 402-417
[14]
S.M. Donath, L.H. Amir.
ALSPAC Study Team. Relationship between prenatal infant feeding intention and initiation and duration of breastfeeding: a cohort study.
Acta Paediatr., 92 (2003), pp. 352-356
[15]
A.V. Holmes.
Establishing successful breastfeeding in the newborn period.
Pediatr Clin North Am., 60 (2013), pp. 147-168
[16]
I. Zakarija-Grković, O. Šegvić, A. Vučković Vukušić, et al.
Predictors of suboptimal breastfeeding: an opportunity for public health interventions.
Eur J Public Health., 26 (2016), pp. 282-289
[17]
F.A. Ogbo, J. Eastwood, A. Page, et al.
Prevalence and determinants of cessation of exclusive breastfeeding in the early postnatal period in Sydney, Australia.
Int Breastfeed J., 12 (2016), pp. 16
[18]
L.L. Oakley, M.J. Renfrew, J.J. Kurinczuk, et al.
Factors associated with breastfeeding in England: an analysis by primary care trust.
BMJ Open., 3 (2013), pp. e002765
[19]
World Health Organization Regional Office for Europe. Breastfeeding initiation at birth can help reduce health inequalities. [Accessed 3 Jun 2019]. Available at: http://www.unicef.org/nutrition/.
[20]
Departament de Salut. Generalitat de Catalunya. Indicadors de salut perinatal a Catalunya. [Accessed 21 Jul 2019]. Available at: https://canalsalut.gencat.cat/ca/professionals/vigilancia-epidemiologica/vigilancia-perinatal/.
[21]
M.D. Ramiro González, H. Ortiz Marrón, C. Arana Cañedo-Argüelles, et al.
Prevalence of breastfeeding and factors associated with the start and duration of exclusive breastfeeding in the Community of Madrid among participants in the ELOIN.
An Pediatr., 89 (2018), pp. 32-43
[22]
J.M. Aguilar-Ortega, J.L. González-Pascual, C. Cardenete-Reyes, et al.
Adherence to initial exclusive breastfeeding among Chinese born and native Spanish mothers.
BMC Pregnancy Childbirth., 19 (2019), pp. 44
[23]
I. Río, A. Luque, A. Castelló-Pastor, et al.
Uneven chances of breastfeeding in Spain.
Int Breastfeed J., 7 (2012), pp. 22
[24]
Generalitat de Catalunya. Departament de Salut. Agència de Salut Pública de Catalunya. Protocol de seguiment de l’embaràs a Catalunya. 4th revised edition (2018). Available at https://salutpublica.gencat.cat/web/.content/minisite/aspcat/promocio_salut/embaras_part_puerperi/protocol_seguiment_embaras/protocol-seguiment-embaras-2018.pdf
[25]
Y. Yang, I. Boucoiran, K.J. Tulloch, et al.
Is cabergoline safe and effective for postpartum lactation inhibition?. A systematic review.
Int J Womens Health., 12 (2020), pp. 159-170
[26]
Observatori del Sistema de Salut de Catalunya. Generalitat de Catalunya. Nou indicador socioeconòmic per al finançament de les ABS. Observatori del Sistema de Salut de Catalunya. [Accessed 21 Jul 2019]. Available at: http://observatorisalut.gencat.cat/ca/observatori-sobre-els-efectes-de-crisi-en-salut/indicador_socioeconomic_2015/.
[27]
A.H. Xiang, T. Chow, J. Mora-Marquez, et al.
Breastfeeding persistence at 6 months: trends and disparities from 2008 to 2015.
J Pediatr., 208 (2019), pp. 169-175
[28]
L.L. Oakley, J.J. Kurinczuk, M.J. Renfrew, et al.
Breastfeeding in England: time trends 2005-2006 to 2012-2013 and inequalities by area profile.
Matern Child Nutr., 12 (2016), pp. 440-451
[29]
I. Río, A. Castelló-Pastor, M. Del Val Sandín-Vázquez, et al.
Breastfeeding initiation in immigrant and non-immigrant women in Spain.
Eur J Clin Nutr., 65 (2011), pp. 1345-1347
[30]
S. Yang, R.W. Platt, M. Dahhou, et al.
Do population-based interventions widen or narrow socioeconomic inequalities? The case of breastfeeding promotion.
Int J Epidemiol., 43 (2014), pp. 1284-1292
[31]
J. Allen, R. Li, K. Scanlon, et al.
Progress in increasing breastfeeding and reducing racial/ethnic differences — United States, 2000-2008 births.
MMWR Morb Mortal Wkly Rep., 62 (2013), pp. 77-80
[32]
C. Lechosa-Muñiz, M. Paz-Zulueta, E.C. Del Río, et al.
Impact of maternal smoking on the onset of breastfeeding versus formula feeding: a cross-sectional study.
Int J Environ Res Public Health., 16 (2019), pp. 4888
[33]
M. Oribe, A. Lertxundi, M. Basterrechea, et al.
Prevalencia y factores asociados con la duración de la lactancia materna exclusiva durante los 6 primeros meses en la cohorte INMA de Guipúzcoa.
[34]
Paricio J. Report on the situation of infant and young child feeding in Spain. 2018. [Accessed 29 Jul 2019]. Available at: https://www.gifa.org/wp-content/uploads/2018/02/IBFAN-report-_CRC-77_Spain.pdf.
[35]
T.T. Colaizy, A.F. Saftlas, F.H. Morriss.
Maternal intention to breast-feed and breast-feeding outcomes in term and preterm infants: Pregnancy Risk Assessment Monitoring System (PRAMS), 2000-2003.
Public Health Nutr., 15 (2012), pp. 702-710
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