Literature DB >> 21261205

Duration of breastfeeding and its correlates in Bangladesh.

Shamima Akter1, M Mizanur Rahman.   

Abstract

The purpose of this study was to assess the duration of breastfeeding and the sociodemographic factors affecting it. Data for the study were drawn from the Bangladesh Demographic and Health Survey 2004. In total 5,364 mothers were included in the study. The life table and Cox's proportional hazards model were employed for the analysis of breastfeeding-related data, which showed that the average duration of breastfeeding was 31.9 months. Cox regression analysis revealed that the duration of breastfeeding was positively associated with maternal age, contraceptive-use, work status, and religion and was negatively associated with age at marriage, parity, delivery status, region, and maternal education. Younger mothers, having higher education, higher maternal parity, caesarean-section birth, being a Muslim, and mothers who have not used any contraceptive were associated with lower duration of breastfeeding. The findings suggest that health institutions can play a significant role in promoting breastfeeding in Bangladesh. Educational campaigns that stress the benefits of lactation are important strategies for encouraging mothers to breastfeed longer.

Entities:  

Mesh:

Year:  2010        PMID: 21261205      PMCID: PMC2995028          DOI: 10.3329/jhpn.v28i6.6608

Source DB:  PubMed          Journal:  J Health Popul Nutr        ISSN: 1606-0997            Impact factor:   2.000


INTRODUCTION

Breastfeeding plays a vital and influential role on the duration of amenorrhoea, child survival, and fertility, offering protection to an infant against early morbidity and mortality. Short-term risks of not breastfeeding include an increased risk of postpartum haemorrhage while long-term effects may include a higher risk of osteoporosis and breast and ovarian cancers (1). Breastmilk contains all types of nutrients required for an infant in right proportion and composition (2). Longer and more frequent breastfeeding and maternal survival status ensure the survival of children (3–4). Results of studies on cessation of breastfeeding of children suggest that mothers who have lower education stop breastfeeding earlier than those with higher education (5–7). Other factors that also relate to the duration of breastfeeding are present age of mothers and socioeconomic status (7–12). Younger mothers are most likely to terminate breastfeeding early compared to older counterparts (13–15). The importance of breastfeeding in regulating individual and social fertility has been a matter of general interest for many years because it tends to increase the average birth interval and, therefore, to reduce women's fertility over their life span, especially in societies where the use of contraceptive methods is not widespread. Recent reviews and meta-analyses conclude that breastfeeding constitutes a small but consistent protective effect against obesity or higher values of body mass index (BMI) in children (16–19). The propensity to breastfeed is not only of importance with regard to the beneficial effects on individuals but is also of concern as an indicator of health behaviour relating to social conditions. A large body of research supports an association between the socioeconomic status and the health and development of children (20–24) but this concept has rarely been studied in relation to the duration of breastfeeding in the context of Bangladesh. The aim of this paper was to estimate the duration of breastfeeding and also to explore the sociodemographic determinants of the duration of breastfeeding in Bangladesh.

MATERIALS AND METHODS

Data for the study were drawn from the Bangladesh Demographic and Health Survey (BDHS) 2004. Information was collected on education, age, reproductive behaviour, availability of family-planning supplies and services, breastfeeding, child health, and maternal status. The survey considered ever-married women of reproductive age as eligible for interview. A sample of 10,500 households was selected from which 11,444 women were interviewed. In total, 5,364 mothers provided information on the duration of breastfeeding for their last-born child at the time of interview. The maximum number of months of breastfeeding recorded in the survey was 60 but our study included the duration of breastfeeding up to 48 months and ignored the remaining months as outlier.

Measurement of variables

Dependent variable

The duration of breastfeeding the last child of the respondent was the dependent variable which was calculated as the number of months that the mother reports having breastfed the child.

Independent variables

The demographic variables included age of mother, age-at-marriage, sex of child, parity, contraceptive-use, and delivery status. For analysis of data, the age of the respondent was categorized into three broad groups: ≤24 years, 25–34 years, and 35 years and over. The age-at-marriage was classified into four categories: ≤14 years, 15–19 years, 20–24 years, and 25 years and over. The parity of mother in the sample was divided into four major groups: 1, 2, 3–5, and ≥6. The category relating to contraceptive-use was dichotomous: not used and used. The delivery status was assessed as either normal or by caesarean section. The socioeconomic variables included place of residence, region of residence/administrative division, the highest level of education of the respondent and the husband, and occupation of the respondent. Education of the respondent is the highest level of schooling attained, measured as no education, primary, secondary, and higher; education of her spouse was also measured as no education, primary, secondary, and higher. Occupation of the respondent was also measured as a categorical variable: not working and professional/administrative, clerical/sales, skilled/unskilled manual, domestic, and others.

Statistical analysis

Bivariate and multivariate statistical techniques were used for studying the predictor variable—duration of breastfeeding—in relation to the explanatory variables. The variable—duration of breastfeeding—was coded as 0–12 months, 12–24 months, 24–36 months, and 36–48 months. The association of the duration of breastfeeding with all the independent variables in the study was first checked by the chi-square statistic. Life-table analysis provides a good understanding of breastfeeding behaviour over time. The factors affecting the duration of breastfeeding were investigated in a regression using Cox's proportional hazard model (25). This model was used for determining the covariates that were significantly associated with the duration of breastfeeding. The data obtained were analyzed using the SPSS software (version 10.0 (26), Statistica 5.0, and Excel.

Life-table technique

A life-table can be constructed by pooling completed and censored cases of breastfeeding (27–28). The completed observations were those in which breastfeeding was stopped, and the exact duration of breastfeeding was known. Censored observations were those in which the child was still being breastfed at the time of survey. The mean duration of breastfeeding was used as the summary measures.

Cox's proportional hazard model

Survival analysis technique was used in analyzing breastfeeding-related data. The survival analysis technique adjusts for truncation bias by incorporating both complete and incomplete segments of histories in the analysis of breastfeeding-related data (some mothers might be continuing to breastfeed at the time of the survey). The Cox's proportional hazards (PH) model may be viewed as a multivariate life-table but unlike other regression techniques, this method uses censored data and, thus, controls for truncation bias (29). Descriptive statistics and the individual effects of Cox regression analysis for each variable are given to provide a general overview of the covariates in the analysis (30). The hazard function at time-point t (stopping or termination of breastfeeding), denoted λ (t,z), by is expressed as: λ (t,z) = λ0(t).exp ∑ Xi ßi, where λ(t,z) is the hazard rate at time t, λ0(t) is the baseline hazard function of t, ß is a vector of coefficients, and Xi is a vector of covariates. It is assumed in this model that: (a) there is a hazard or risk of occurrence of the event of interest (in this case, the termination of breastfeeding) at each time t, and this is applicable to all members of the population; (b) at each time t, the respondents at one level of a given subgroup experience a hazard proportional to the reference category; the models are a function of time and regressor variables; and (c) there will only be one set of coefficients. The hazard ratio (odds ratio) for breastfeeding and its 95% confidence interval (CI) were calculated for the sociodemographic factors associated with breastfeeding.

RESULTS

The figure shows the overall pattern of breastfeeding in Bangladesh. The survival curve represents the probability of mothers who continued to breastfeed at any given time. During the first month of life, the maximum (87%) probability of continuing breastfeeding was observed, which decreased dramatically after two years of age.
Fig.

Survival function for women who were continuing breastfeeding at different durations of breastfeeding, Bangladesh

Survival function for women who were continuing breastfeeding at different durations of breastfeeding, Bangladesh The life-table analysis and its related measure (mean) for the duration of breastfeeding by various covariates of mother and child are shown in Table 1. Bivariate analysis revealed significant differences in the duration of breastfeeding relating to place of residence, administrative division, delivery status, contraceptive-use, education of mother, education of husband, parity, and religion.
Table 1.

Mean duration of breastfeeding by different sociodemographic characteristics based on life-table technique, Bangladesh, 2004

CharacteristicsNo.Meanp value
Age (years) of mothers
  ≤242,65932.69
  25–342,21731.42
  35 and above57931.630.128
Age-at-marriage (years)
  ≤142,74532.70
  15–192,33731.49
  20–2432330.53
  25+5028.850.007
Sex of previous child
  Male2,77432.00
  Female2,68131.990.879
Parity
  11,52932.42
  21,37532.04
  3–51,96732.13
  6 and above58431.820.005
Contraceptive-use
  Not using91731.47
  Currently using4,53832.130.000
Delivery status
  Normal5,18932.13
  Caesarian26630.120.000
Place of residence
  Urban1,70730.51
  Rural3,74932.710.000
Division/region
  Barisal61932.83
  Chittagong1,12927.78
  Dhaka1,22432.25
  Khulna72533.79
  Rajshahi1,10133.72
  Sylhet65732.160.000
Education of mothers
  No education1,92432.60
  Primary1,67532.96
  Secondary1,52430.71
  Higher33829.900.013
Work status of respondents
  Working99832.25
  Not-working4,45731.900.218
Education of husband
  No education2,03533.01
  Primary1,46632.35
  Secondary and higher1,95430.650.004
Religion
  Muslim4,96231.53
  Non-Muslim49336.130.062
Bangladesh5,45531.99-
Mean duration of breastfeeding by different sociodemographic characteristics based on life-table technique, Bangladesh, 2004 The mean duration of breastfeeding in Bangladesh for surviving children is 31.9 months. It is comparatively higher among younger mothers (<25 years) than older mothers (≥35 years). In this study, the mean duration of breastfeeding was 32.67 months for mothers of younger age-group, 31.4 months for middle-aged mothers, and 31.6 months for older mothers. Mothers who were married at an early age had a longer duration of breastfeeding than those who were married in older age. Mothers of single parity breastfed their children, on average, for 32.4 months; mothers of 2 parity breastfed for 32.0 months; and those with 3–5 parity breastfed for 32.1 months. This decreased to 31.8 months for those who had six and more children. The average duration of breastfeeding was 31.4 months for mothers who were not using any contraception compared to 32.1 months for those who were using contraception. The mean duration of breastfeeding was comparatively lower among mothers who gave birth by caesarean section (30.1 months) compared to mothers giving birth vaginally (32.1 months). The urban mothers breastfed their children for a relatively-shorter duration than did the rural mothers. Among the six administrative divisions of Bangladesh, the duration of breastfeeding was the lowest in Chittagong division (27.78 months). The non-Muslim mothers breastfed for a longer duration (36.13 months) than the Muslim mothers (31.53 months). Table 2 presents the results of the proportionality hazards model for the duration of breastfeeding. Age of mother, age-at-marriage, parity, contraceptive-use, delivery status, region, religion, education and occupation of mother were statistically significant. The odds of stopping breastfeeding for older mothers were lower than their younger counterparts. Women who married at an early age (≤14 years) had a lower risk of stopping breastfeeding compared to women who married at an older age (25 years and over). Increased parity was associated with increase in the risk of cessation of breastfeeding. Normal delivery was associated with a 23% less likelihood of terminating breastfeeding compared to birth by caesarean section. Similarly, the use of contraceptives had a lower risk of stopping breastfeeding. The mothers of Chittagong and Sylhet divisions were more likely to terminate breastfeeding early compared to the mothers in other divisions. The Muslim mothers had 1.3 times higher risk of stopping breastfeeding than their non-Muslim peers. The risk of cessation of breastfeeding increased with increasing maternal education. Mothers not working were 1.16 times more likely to stop breastfeeding than working mothers.
Table 2.

Cox's proportional hazard model estimates of relative risk of sociodemographic characteristics on cessation of breastfeeding, Bangladesh, 2004

Explanatory variableOdds ratio95% CI
Age (years) of mothers
  ≤242.114*1.851–2.414
  25–341.386*1.239–1.551
  35+1.000
Age-at-marriage (years)
  ≤140.593*0.439–0.801
  15–190.634*0.471–0.853
  20–240.699**0.513–0.954
  25+1.000
Sex of child
  Male0.9710.919–1.026
  Female1.000
Parity
  10.632*0.545–0.733
  20.691*0.603–0.790
  3–50.9910.813–1.022
  6+1.000
Contraceptives-use
  No used1.387*1.276–1.507
  Used1.000
Delivery status
  Normal0.767*0.669–0.881
  Caesarean1.000
Place of residence
  Urban1.0070.947–1.072
  Rural1.000
Division/region
  Barisal0.874**0.776–0.985
  Chittagong1.133**1.021–1.256
  Dhaka0.903***0.813–1.003
  Khulna0.9290.825–1.045
  Rajshahi0.861*0.771–0.961
  Sylhet1.000
Religion
  Muslim1.289*1.169–1.422
  Non-Muslim1.000
Educational level
  No-education0.790*0.680–0.917
  Primary0.820*0.712–0.943
  Secondary0.891**0.782–1.015
  Higher1.000
Work status
  Do not work1.161*1.079–1.249
  Work
Education of husband
  No education0.9970.920–1.079
  Primary1.0020.927–1.083
  Secondary and higher1.000
Log-likelihood77,191.721
Model chi-square405.96
Degrees of freedom24
p value0.000

*p<0.01;

**p<0.05;

***p<0.10, significant variables in the model;

CI=Confidence interval

Cox's proportional hazard model estimates of relative risk of sociodemographic characteristics on cessation of breastfeeding, Bangladesh, 2004 *p<0.01; **p<0.05; ***p<0.10, significant variables in the model; CI=Confidence interval

DISCUSSION

The study examined the socioeconomic and demographic determinants of breastfeeding in Bangladesh. Breastfeeding is virtually universal (98.3%) and prolonged in Bangladesh. Past studies in Bangladesh found the mean duration of breastfeeding to be 26.4–28.9 months (30–33). It seems that the duration of breastfeeding in Bangladesh is gradually increasing. Increasing maternal age and parity can lead to breastfeeding of a shorter duration. Higher parity leads to shorter birth intervals and, hence, shorter time available for breastfeeding. It is also well-established that parity is closely related to maternal age (31). An older woman is more likely to have a greater number of children; hence, the demand on her time is considerable which may lead to early termination of breastfeeding. Poor nutritional status, particularly among older women, can diminish the capacity and the fat and vitamin content of breastmilk. The result is that not enough breastmilk will be provided to the infant, thus, hastening early termination of breastfeeding. In this study, mothers with 1, 2, and 3–5 parity were 37%, 31%, and 1% less likely to terminate breastfeeding than mothers with ≥6 parity, suggesting that an increase in parity is associated with a decrease in probability of terminating breastfeeding. Giving births to too many children might have caused physical complications and weakness to these mothers who were unable to breastfeed their children. Women aged ≤14 years, 15–19 years, and 20–24 years were less likely to terminate breastfeeding than women who were married at ≥25 years. The higher risk of terminating breastfeeding in mothers with first-born babies might result from two reasons. First, they belonged to younger age-group, and second, they neither had breastfeeding experience nor they feel comfortable in breastfeeding their children. The use of contraceptives plays a role in lengthening inter-pregnancy interval, and thus, mothers have time to breastfeed their children, consequently reducing the risk of termination. Region of residence of the respondents had a significant effect on the risk of termination of breastfeeding, for example, mothers from Chittagong were more likely to terminate breastfeeding than those from Sylhet. This is in agreement with the results of previous studies (10–11, 30). One of the key determinants of the decline in breastfeeding in Bangladesh is the increasing level of education of mothers, a factor which plays a role in the adoption of modern ideas and which usually leads to the abandonment of traditional practices regarding childcare. A similar trend that higher education is associated with shorter duration of breastfeeding was also observed in some earlier studies in Bangladesh (10–11) and in other developing countries (34), although the scenario in industrialized countries, such as Denmark, appears to be the opposite (35). Results of a study suggest that education is a proxy for socioeconomic status, which could be related to exposure to advertisements and the capability to buy infant formula (36). The probability of terminating breastfeeding by Muslim mothers was higher compared to non-Muslim mothers (Hindu, Christian, and Buddhist). Working women breastfed for a slightly longer duration compared to the non-working women, which is consistent with the findings of other studies (30, 32). Women in Bangladesh are involved in traditional or informal work (agricultural activities, domestic work, jobs in cottage industries, and small-scale marketing, or as labourer), especially in the rural areas, and have more flexible schedules, and this allows them to nurse their infants more often, thus maintaining longer periods of lactation. The results of the present study indicate that the breastfeeding-promotion programme in Bangladesh should address mothers with higher education, those who have higher parity, give birth by caesarean section, and those living in urban areas and Chittagong since these mothers tend to breastfeed their children for a relatively-shorter period of time.

ACKNOWLEDGEMENTS

The authors thank the anonymous reviewers of this journal for providing insightful comments and suggestions for revision.
  24 in total

1.  Duration of breastfeeding and risk of overweight: a meta-analysis.

Authors:  Thomas Harder; Renate Bergmann; Gerd Kallischnigg; Andreas Plagemann
Journal:  Am J Epidemiol       Date:  2005-08-02       Impact factor: 4.897

2.  Social class inequalities in perinatal outcomes: Scotland 1980-2000.

Authors:  L Fairley; A H Leyland
Journal:  J Epidemiol Community Health       Date:  2006-01       Impact factor: 3.710

Review 3.  Socioeconomic status and child development.

Authors:  Robert H Bradley; Robert F Corwyn
Journal:  Annu Rev Psychol       Date:  2002       Impact factor: 24.137

4.  Breastfeeding: patterns, correlates, and fertility effects.

Authors:  A K Jain; J Bongaarts
Journal:  Stud Fam Plann       Date:  1981-03

Review 5.  Effect of infant feeding on the risk of obesity across the life course: a quantitative review of published evidence.

Authors:  Christopher G Owen; Richard M Martin; Peter H Whincup; George Davey Smith; Derek G Cook
Journal:  Pediatrics       Date:  2005-05       Impact factor: 7.124

6.  Social aetiology of violent deaths in Swedish children and youth.

Authors:  A Hjern; S Bremberg
Journal:  J Epidemiol Community Health       Date:  2002-09       Impact factor: 3.710

7.  Duration of breast-feeding in Bangladesh.

Authors:  M S Giashuddin; M Kabir
Journal:  Indian J Med Res       Date:  2004-06       Impact factor: 2.375

Review 8.  Breast-feeding and childhood obesity--a systematic review.

Authors:  S Arenz; R Rückerl; B Koletzko; R von Kries
Journal:  Int J Obes Relat Metab Disord       Date:  2004-10

9.  The duration of breast-feeding. A longitudinal prospective study in Denmark.

Authors:  V Vestermark; C K Høgdall; G Plenov; M Birch; K Toftager-Larsen
Journal:  Scand J Soc Med       Date:  1991-06

10.  Health effects of breast feeding for mothers: a critical review.

Authors:  M J Heinig; K G Dewey
Journal:  Nutr Res Rev       Date:  1997-01       Impact factor: 7.800

View more
  19 in total

1.  Arsenic exposure and serum antibody concentrations to diphtheria and tetanus toxoid in children at age 5: A prospective birth cohort in Bangladesh.

Authors:  Barrett M Welch; Adam Branscum; Sharia M Ahmed; Perry Hystad; Ellen Smit; Sakila Afroz; Meghan Megowan; Mostofa Golam; Md Omar Sharif Ibne Hasan; Mohammad L Rahman; Quazi Quamruzzaman; David C Christiani; Molly L Kile
Journal:  Environ Int       Date:  2019-04-30       Impact factor: 9.621

2.  The comparison of parents' educational level on the breastfeeding status between turkman and non-turkman ethnic groups in the north of iran.

Authors:  G Veghari; M Ahmadpour-Kacho; Y Zahedpasha
Journal:  Ann Med Health Sci Res       Date:  2014-11

3.  Comparison of knowledge, attitudes and practices on exclusive breastfeeding between primiparous and multiparous mothers attending Wajir District hospital, Wajir County, Kenya: a cross-sectional analytical study.

Authors:  Mahat Jimale Mohamed; Sophie Ochola; Victor O Owino
Journal:  Int Breastfeed J       Date:  2018-03-02       Impact factor: 3.461

4.  Heterogeneous Effects of Birth Spacing on Neonatal Mortality Risks in Bangladesh.

Authors:  Joseph Molitoris
Journal:  Stud Fam Plann       Date:  2018-03

5.  Determinants of infant breastfeeding practices in Nepal: a national study.

Authors:  Shiva Bhandari; Andrew L Thorne-Lyman; Binod Shrestha; Sumanta Neupane; Bareng Aletta Sanny Nonyane; Swetha Manohar; Rolf D W Klemm; Keith P West
Journal:  Int Breastfeed J       Date:  2019-04-03       Impact factor: 3.461

6.  A qualitative study exploring perceived barriers to infant feeding and caregiving among adolescent girls and young women in rural Bangladesh.

Authors:  Kristy M Hackett; Umme S Mukta; Chowdhury S B Jalal; Daniel W Sellen
Journal:  BMC Public Health       Date:  2015-08-11       Impact factor: 3.295

7.  An Assessment of the Breastfeeding Practices and Infant Feeding Pattern among Mothers in Mauritius.

Authors:  Ashmika Motee; Deerajen Ramasawmy; Prity Pugo-Gunsam; Rajesh Jeewon
Journal:  J Nutr Metab       Date:  2013-06-24

8.  Factors associated with the time to cessation of breastfeeding among mothers who have index children aged two to three years in Debre Markos, northwest Ethiopia: a retrospective follow up study.

Authors:  Melkamu Tamir Hunegnaw; Kassahun Alemu Gelaye; Bekri Mohammed Ali
Journal:  BMC Pediatr       Date:  2018-02-22       Impact factor: 2.125

9.  Feeding during the first 3 days after birth other than breast milk is associated with early cessation of exclusive breastfeeding.

Authors:  Mohammad Jyoti Raihan; Nuzhat Choudhury; Md Ahshanul Haque; Fahmida Dil Farzana; Mohammad Ali; Tahmeed Ahmed
Journal:  Matern Child Nutr       Date:  2020-02-11       Impact factor: 3.092

10.  Bifidobacterial Dominance of the Gut in Early Life and Acquisition of Antimicrobial Resistance.

Authors:  Diana H Taft; Jinxin Liu; Maria X Maldonado-Gomez; Samir Akre; M Nazmul Huda; S M Ahmad; Charles B Stephensen; David A Mills
Journal:  mSphere       Date:  2018-09-26       Impact factor: 4.389

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.