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African Health Sciences
Makerere University Medical School
ISSN: 1680-6905 EISSN: 1729-0503
Vol. 11, Num. 3, 2011, pp. 508-517

African Health Sciences, Vol. 11, No. 3, Sept, 2011, pp. 508 - 517

Nutrition

Social determinants of breastfeeding in Italy

*Kambale M J

Independent researcher, Via Leopardi,12/A, 60015 Falconara M (Italy)
Correspondence Address: Jéròme Kambale Mastaki Independent researcher Via Leopardi,12/A 60015 Falconara M (Italy) Phone: 0039 34 96 33 14 54/ 0039 33 88 67 01, Email: jkmastaki@hotmail.com

Code Number: hs11101

Abstract

Background: Breastfeeding is surely the best way to feed an infant at least in the first six months of life.
Objective: To investigate the social determinants of breastfeeding behaviors among Italian women.
Methods: Data for this study were drawn from the Italian Institute of Statistics (ISTAT) survey conducted in 2005 which comprised a nationally representative sample of 50,474 households (128,040 subjects). This 2005 ISTAT survey asked several questions to women who delivered (n=5,812) in the past five years prior to the survey about their breastfeeding behaviours. Breastfeeding initiation rate and duration for > six months were our main dependent variables while independent variables included socio demographics and health-related factors. Descriptive statistics, Pearson chi-squared test and multiple logistic regressions were performed.
Results: Our sample comprised 5,812 women. Rates of breastfeeding initiation and duration for e” six months were respectively 82.0 percent and 70.0 percent. Social determinants of breastfeeding initiation were older ages (OR: 1.029, p=0.019) and employment status (OR: 1.289, p=0.032). No social factor was associated to breastfeeding duration.
Conclusion: Rates of breastfeeding initiation and duration in Italy are rather high. Age and employment status were the main social determinants (breastfeeding initiation) found.

Keywords: Socioeconomic factors, epidemiologic factors, breastfeeding, Italy.

Introduction

Exclusive breastfeeding is the healthiest way to feed an infant in the first six months of life1. According to an American Academy of Paediatrics policy statement, “breastfeeding ensures the best possible health as well as the best developmental and psychosocial outcomes for the infant”2. However, many child bearing women don’t breastfeed. Data from several studies suggest that women of lower socioeconomic status (SES) are less likely to breastfeed their infants3-5.

Maternal education attainment has been largely investigated in relation to breastfeeding initiation. Results constantly showed a positive association3,6-10. Income is another factor largely studied. It may be that because maternal income is associated with employment, it may detract from breastfeeding11-13. Maternal employment has been shown in some studies to decrease breastfeeding14-16. As pointed out above, maternal employment may be an obstacle because of time taken away from the baby (11-13); in fact some studies found that full-time, but not part-time, employment was negatively associated with breastfeeding initiation17,18. The characteristics of the workplace seem also to have an impact on breastfeeding behaviour. In fact, a study by Jacknowitz, in USA, showed that the availability of employer-sponsored childcare services increased the likelihood of breastfeeding six months after birth by 47 percent19. In addition, working an additional eight hours at home per week, at the mean, increased the probability of breastfeeding initiation by eight percent and breastfeeding six months after birth by 16.8 percent19.

Other factors like single marital status8,20, lack of support11,21,22, low parity4,23,24, preterm births5,25,26, obesity 23,25,27 maternal , smoking/ alcohol consumption9,11,23,28-30, diabetes mellitus26 and maternal distress have also been shown to be strongly associated with lower rates of breastfeeding initiation. Ethnic minority groups are frequently recorded as having high rates of positive breastfeeding practices but there are as always some exceptions 7,8,12,31,32.

Duration of breastfeeding is also important for the health of the newborn and has been shown to be associated with diverse socioeconomic factors1, 11, 21,33,34.

This study intended to investigate the social factors associated with breast feeding initiation and duration in Italy during the period 2000-2005 and thus update the current literature on the subject.

Methods

Design and tool

Data for this study were drawn from the Italian national institute of statistics (ISTAT) survey conducted in 200535. This is a quinquenal multi purpose population-based cross-sectional survey with a complex design (stratified multistage random sampling). The 2005 survey comprised a nationally representative sample of 50,474 households (128,040 subjects). However the immigrants group was not mentioned in the survey. The survey excluded residents of rest homes, religious houses, penitentiaries and homeless subjects.

This 2005 ISTAT survey asked several questions to women who delivered (n=5,812) in the past five years prior to the survey about their breastfeeding behaviours including whether (yes vs. no) the mother ever breastfed her infant (breastfeeding initiation) and if the action was on-going. Duration of breastfeeding was assessed asking the women “what age in months and weeks had the baby when he stopped suckling?” The comprehensive questionnaire used in the survey (filled and administered by ISTAT professionals) included socio demographics, health, healthcare and health-related factors.

Variables

As dependent variables, we used breastfeeding initiation (as defined above) rate and breastfeeding duration rate for e” six months respectively while explanatory variables consisted of all relevant available sociodemographics (age, marital status, education attainment, employment status, contractual conditions, income, etc…), health factors, healthcare and health-related behaviours and finally social support defined as availability of friends and/or neighbours aids in situations of need (yes vs. no). Demographics and socioeconomic status were assessed by using age, residence (5 categories: North-West, North-East, Centre, South, Islands), housing conditions (availability of WC and bathroom, heating and staircase), education attainment (college levels vs. others), occupation status (employed vs. others), contractual conditions (term vs. termless contracts) and self-reported wealth using income as a proxy (optimal-adequate vs. scarce-inadequate).

Statistical analysis

Virtually all the variables were systematically dichotomized by appropriate procedures in order to perform univariate tests (T-Student test, Pearson chi-squared test). Multiple logistic regressions included binary and dummy variables but age was consistently treated as a continuous variable. We first performed descriptive statistics, then followed with student t-test and chi-squared test in order to examine relationships between several variables and breastfeeding initiation/duration rates. We finally conducted multiple logistic regressions. Models included sociodemographic factors adjusted for potential confounders (healthcare, health and health-related factors and social support). Models’ fitting was based on stepwise backward selection strategy while the diagnosis was conducted by recourse to the standard post logistic tests (Pseudo-R2, post logistic Hosmer-Lemeshow test and ROC curve). Levels of statistical significance were set to 0.05. Odds ratio with 95 percent confidence intervals were calculated to assess the adjusted risk of independent variables and those with p<0.05 were retained in the final models. Analyses were carried out by the statistical package 10.1/SE (36).

Results

Sociodemographics

Our sample comprised 5,812 women (respondent women who delivered the past five years prior to the survey). South macro area shared the highest proportion (31.6 percent; n=1,835) of this sample while the Islands had the lowest (10.7 percent; n=623 (Tab.1). Mean age of this population was 34 years (Standard deviation SD: 5.22) with a minimum of 17 and a maximum of 49. The bulk of this population group was concentrated in the age groups 4 (30-34 years; 34.40 percent) and 5 (35-39 years; 31.5 percent), 85.5 percent were married or living with the partner, 14.7 percent were university/college graduated or had some college education, 54 percent is actually employed and eight percent were unemployed searching job and finally only 3.5 percent rated their income as being optimal [Table - 1].

Breastfeeding behaviours

Of these 5,812 respondent women, 18 percent (n=1,044) never breastfed the index child, 82 percent (n=4,168) had done so at least once and 10.3 percent (n=599) were still breastfeeding. The North/Centre and South/the islands are areas which recorded respectively the highest (83.2 percent) and the lowest (80.5 percent) rates of breastfeeding initiation. Similar differentials were also found among several other social and health/health-related factors [Table - 2]. Geographic location (p=0.008), age (p=0.048), education attainment (p=0.000), employment status (p=0.001), income (p=0.001), and social support/ availability of friends (p=0.007) were the sole social factors significant in univariate analysis [Table - 2]. Women who breastfed for six months or more were 70 percent (n=4,070); distribution of breastfeeding duration by specific factors is not presented in [Table - 3].

Detailed results of multivariate analyses are presented in [Table - 4] (only breastfeeding initiation). Older ages (OR:1.029, 95CI: 1.005-1.055; p=0.019) and employment status (OR: 1.289, 95CI: 1.023- 1.625; p=0.032) are the only social factors associated with breastfeeding initiation while no significant social determinant of breastfeeding duration was found.

Finally, reasons for not breastfeeding (not displayed in tables!) included lack of milk (63.4 percent), newborn’s difficulties in sucking milk (14 percent), maternal health problems (10 percent), new-born health problems (six percent) and social problems like lack of time and employment constraints (three percent).

Discussion

Overall, 82 percent (n= 4,768) of the women from this sample had breastfed their infants at least once. This is substantially similar to values reported in studies conducted in many other countries worldwide and higher more than some others3,7,12,37,41. Precedent population-based studies conducted in Italy, also using nationally representative samples, showed breastfeeding initiation rates of 89 percent (n=3,500) in 1999 in Banderali’s study and 85.3 percent (n=1,601) in Giovannini’s. The latter had evidenced significant geographic differentials with rates ranging from 75.8 percent in the islands to 90.8 percent in North-east area42,43.

In our study, the highest scores were also recorded in the North-East geographic area (86.4 percent) and among age the group 25-29 years (84.4 percent) while the lowest were found in the Islands (76.1 percent) and among the age group > 44 years (74.3 percent). This geographic differential, also reported in the study of Giovannini, is consistent with the well-known socioeconomic differential North-South in health already documented in Italy43,44. Another Italian study conducted in Liguria region in 2003, however of a different design (a cohort hospital-based study) and a more limited scale (n=757), showed rates of breastfeeding initiation of up to 97.3 percent at discharge34.

As showed in a precedent paragraph, the proportion of women who breastfed for six months or more after childbirth were 70 percent [Table - 4], this is a very satisfactory score if compared to the 19 percent at six months reported in a precedent Italian study43.

We found a significant positive association between breastfeeding initiation, age, education attainment, high income and social support, a result consistent with international literature3,5-9,21,31,45. In fact elders, highly educated and wealthy women are usually expected to have better breastfeeding behaviours. Our study did not find (adjusted model) an association between breastfeeding initiation and marital status despite the fact that this association is widely reported in literature8,11,14. The fact also that we found a positive association between employment status and breastfeeding initiation is in odd. In fact, employed women are frequently recorded as having lower likelihood of breastfeeding11-14. Bias in data collection or management is improbable but can’t be ruled out. For example the response rate of this survey was not specified, a defect with potential impact on the results. If this rate was low, it might have had a significant negative effect on the representativeness of the study. Likewise the exclusion of the immigrants, currently an important sociodemographic group of Italian society with high birthrate, is a serious issue. Other alternative explanations include the fact that employed women usually are the most educated and so are probably more sensible with breastfeeding promotion programs or perhaps most of these working women were part-time employees, a factor which has been demonstrated to be positively associated to breastfeeding initiation17,18. However it was not possible to verify this hypothesis because this specific data was not available in the survey dataset. This singular fact deserves further investigations.

Several health-related factors were strongly associated with breastfeeding initiation, some as positive (term births, singletons, breastfed precedent child) and others as negative (obesity, have not breastfed a previous child and no attendance of the public MCH centre) determinants. This data has important policy and clinical implications because some of these factors are manageable for example obesity and attendance of the public MCH centre.

In our study, no available social factor was associated to breastfeeding duration (cut-off: six months) while several important social factors such as marital status and income had no effect on breastfeeding behaviours. We were not able to offer a valid explanation to this fact.

Finally, this study showed that the main reason for not breastfeeding as reported by the mothers was lack of milk (64.4 percent).

This study has several weaknesses. The most important probably include the non specification of the survey’s response rate and the exclusion of the immigrants group.

Conclusion

Level of breastfeeding initiation rate among Italian women remains rather acceptable (82 percent). Contrary to international literature, our study did not find an association between breastfeeding initiation and some important potential socio demographic determinants (marital status, income etc). Age and employment status were the sole social factors (breastfeeding initiation) identified. Most women continued breastfeeding at least six months after childbirth (63.5 percent). Efforts have to be taken by health-policy makers, healthcare providers and various stakeholders in order to encourage good breastfeeding behaviours.

Acknowledgements

We are grateful to Professors Francesco Di Stanislao and Emilia Prospero of the Institute of Hygiene and Preventive Medicine of the Università Politecnica delle Marche of Ancona (Italy) for the training provided during the doctorate course and the permission granted to utilize the dataset.

References

  1. Kramer SM. The optimal duration of exclusive breastfeeding: a systematic review. Adv Exp Med Biol. 2004; 554:63-77.
  2. Gartner LM. Breastfeeding and the Use of Human Milk. Paediatrics. 2005;115:496-506.
  3. Amir LH, Donath SM. Socioeconomic status and rates of breastfeeding in Australia: evidence from three recent national health surveys. MJA. 2008; 189:254–256.
  4. Al-Sahab B, Tamin H, Mumtaz G et al.; National Collaborative Perinatal Neonatal Network (NCPNN). Predictors of breastfeeding in developing country: results of a prospective cohort study. Public Health Nutr. 2008;11(12):1350-6.
  5. Flacking R, Nyqvist KH, Ewald U. Effects of socioeconomic status on breastfeeding duration in mothers of preterm and term infants. Eur J Public Health. 2007; 17(6):579–584.
  6. Erkkola M, Salmenhaara M, Kronberg-Kippilä C et al. Determinants of breastfeeding in a Finnish cohort birth. Public Health Nutr. 2009;13:1-10.
  7. Tarrant RC, Younger KM, Sheridan-Pereira M et al. The prevalence and determinants of breastfeeding initiation and duration in a sample of women in Ireland. Public Health Nutr. 2009;17:1-11.
  8. Forste R, Hoffmann JP. Are US mothers meeting the Healthy People 2010 breastfeeding targets for initiation, duration, and exclusivity? The 2003 and 2004 National Immunization Surveys. J Hum Lact. 2008;24(3):278-88.
  9. Black R, Godwin M, Ponka D. Breastfeeding among the Ontario James Bay Cree: a retrospective study. Can J Public Health. 2008; 99(2):98-101.
  10. Riva E, Banderali G, Agostoni C el al. Factors associated with initiation and duration of breastfeeding in Italy. Acta Paediatr. 1999;88(4):411-5.
  11. Bosnjak AP, Grguric J, Stanojevic M et al. Influence of sociodemographic and psychosocial characteristics on breastfeeding duration of mothers attending breastfeeding support groups. J Perinat Med. 2009;37(2):185
  12. McDowell MM, Wang CY, Kennedy-Stephenson J. Breastfeeding in the United States: findings from the national health and nutrition examination surveys, 1999-2006. NCHS Data Brief. 2008;5:1-8.
  13. Roe B, Whittington LA, Fein SB et al. Is there competition between breastfeeding and maternal employment?. Demography. 1999;36(2):157-71.
  14. Ghosh R, Mascie-Taylor CG, Rosetta L. Longitudinal study of the frequency and duration of breastfeeding in rural Bangladeshi women. Am J Hum Biol. 2006;18(5):630-8.
  15. Cooklin AR, Donath SM, Amir LH. Maternal employment and breastfeeding: results from the longitudinal study of Australian children. Acta Paediatr. 2008; 97(5):620-3.
  16. Wright AL. The rise of breastfeeding in the United States. Pediatr Clin North Am. 2001 Feb;48(1):1
  17. Brasileiro AA, Possobon Rde F, Carrascoza KC, Ambrosano GM, Moraes AB. The impact of breastfeeding promotion in women with formal employment. Cad Saude Publica. 2010 Sep;26(9):1705-13.
  18. Hawkins SS, Griffiths LJ, Dezateux C et al.; Millennium Cohort Study Child Health Group. Maternal employment and breastfeeding initiation: findings from the Millennium Cohort Study. Paediatr Perinat Epidemiol. 2007;21(3):242
  19. Jacknowitz A. The role of workplace characteristics in breastfeeding practices. Women Health. 2008;47(2):87-111.
  20. Taylor JS, Risica PM, Geller L et al. Cabral HJ. Duration of breastfeeding among first-time mothers in the United States: results of a national survey. Acta Paediatr. 2006;95(8):980-4.
  21. Bolton TA, Chow T, Benton PA et al. Characteristics associated with longer breastfeeding duration: an analysis of a peer counselling support program. J Hum Lact. 2009;25(1):18-27.
  22. Britton C, McCormick FM, Renfrew MJ et ali. Support for breastfeeding mothers. Cochrane Database Syst Rev. 2007; 24(1):CD001141.
  23. Manios Y, Grammatikaki E, Kondaki K et al. The effect of maternal obesity on initiation and duration of breastfeeding in Greece: the GENESIS study. Public Health Nutr. 2009;12(4):517-24.
  24. Bonet M, Kaminski M, Blondel B. Differential trends in breastfeeding according to maternal and hospital characteristics: results from the French National Perinatal Surveys. Acta Paediatr. 2007;96(9):1290-5.
  25. Donath SM, Amir LH. Maternal obesity and initiation and duration of breastfeeding: data from the longitudinal study of Australian children. Matern Child Nutr. 2008;4(3):163-70.
  26. Hummel S, Winkler C, Schoen S et al. Breastfeeding habits in families with Type 1 diabetes. Diabet Med. 2007;24(6):671-6.
  27. Mok E, Multon C, Piguel L et al. Decreased full breastfeeding, altered practices, perceptions, and infant weight change of prepregnant obese women: A need for extra support. Pediatrics. 2008;121:e1319-e1324.
  28. Giglia RC, Binns CW. Alcohol, pregnancy and breastfeeding; a comparison of the 1995 and 2001 National Health Survey data. Breastfeed Rev. 2008;16(1):17-24.
  29. Scott JA, Binns CW, Oddy WH et al. Predictors of Breastfeeding Duration: Evidence From a Cohort Study. Pediatrics. 2006;117:e646-e655.
  30. Di Napoli A, Di Lallo D, Pezzotti P et al. Effects of parental smoking and level of education on initiation and duration of breastfeeding. Acta Paediatr. 2006;95(6):678-85.
  31. Newton KN, Chaudhuri J, Grossman X et al. Factors associated with exclusive breastfeeding among Latina women giving birth at an innercity baby-friendly hospital. J Hum Lact. 2009;25(1):28-33.
  32. Taveras EM, Capra AM, Braveman PA et al. Clinician support and psychosocial risk factors associated with breastfeeding discontinuation. Pediatrics. 2003;112:108-115.
  33. Malhotra R, Noheria A, Amir O et al. Determinants of termination of breastfeeding within the first 2 years of life in India: evidence from the National Family Health Survey-2. Matern Child Nutr. 2008;4(3):181-93.
  34. Santini P, Calevo MG, Caviglia MR et al; Breastfeeding Group: Cotellessa M, Revello G, Corciulo M et al. Breastfeeding in Northern Italy. Acta Paediatr. 2008;97(5):613-9.
  35. ISTAT survey 2005. www.istat.it. (Accessed May 20, 2008). 36.STATA 10/SE statistical package. www.stata.com.
  36. Chung W, Kim H, Nam CM. Breastfeeding in South Korea: factors influencing its initiation and duration. Public Health Nutr. 2008;11(3):225-9.
  37. Chuang CH, Chang PJ, Hsieh WS et al. The combined effect of employment status and transcultural marriage on breastfeeding: a population-based survey in Taiwan. Paediatr Perinat Epidemiol. 2007; 21(4):319-29.
  38. Yang Q, Wen SW, Dubois L et al. Determinants of breastfeeding and weaning in Alberta, Canada. J Obstet Gynaecol Can. 2004; 26(11):975
  39. Kuo SC, Hsu CH, Li CY et al. Communitybased epidemiological study on breastfeeding and associated factors with respect to postpartum periods in Taiwan. J Clin Nurs. 2008; 17(7):967-75.
  40. Kelly YJ, Watt RG. Breastfeeding initiation and exclusive duration at 6 months by social class: results from the Millennium Cohort Study. Public Health Nutr. 2005; 8(4):417-21.
  41. Banderali G, Riva E, Scaglioni S et al. Monitoring breastfeeding rates in Italy. Acta Paediatr Suppl. 2003;91(441):6-8.
  42. Giovannini M, Banderali G, Agostoni C et al. Epidemiology of breastfeeding in Italy. Acta Paediatr Suppl. 1999;88(430):19-22.
  43. Calazzo A. Inequalities in health in Italy. Epidemiol Prev. 2004;28(3): i-ix, 1-16.
  44. Heck KE, Braveman P, Cubbin C et al. Socioeconomic status and breastfeeding initiation among California mothers. Public Health Reports. 2006;121.

African Health Sciences Vol 11 No 3 September 2011


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