Introduction
Infant and young child feeding (IYCF) is a recommended dietary guideline for infants (0–11 months of age) and young children (12–23 months of age) which is crucial for their survival, health and well-being [1]. Broadly, in Bangladesh, IYCF consists of components which include breastfeeding within one hour of birth or early initiation of breastfeeding (EIBF), exclusive breastfeeding (EBF) until six months of age, initiation of recommended complementary feeding after six months of age, and continuation of breastfeeding at least until two years of age [2]. Sub-optimum IYCF is a major determinant of childhood malnutrition and a serious public health concern particularly in low- and lower middle-income countries including Bangladesh [3]. In Bangladesh, 65% of infants aged less than 6 months are exclusively breastfed and only 34% of children aged 6–23 months receive recommended complementary feeding, demonstrating higher exclusive breastfeeding rate than India (43%) and Nepal (57%) [4, 5]. Meanwhile, 31% of children aged under five years are stunted, and 22% are underweight. These proportions are similar with neighboring countries, including India (36% stunting and 32% underweight) and Nepal (25% stunting and 19% underweight) [6, 7]. The under-5 mortality rate is 45 deaths per 1000 live births, and the infant mortality rate is 38 deaths per 1000 live births according to Bangladesh Demographic and Health Survey (BDHS) 2017–18 [4]. Improving IYCF practices may be an important factor in reducing undernutrition and child mortality [8–10].
Parental involvement in IYCF practices differs by context. In Bangladesh, child feeding is usually performed by mothers [11], whereas family food choice is primarily decided by fathers [12] Therefore, child feeding at the family level, especially complementary feeding, is mostly dependent on paternal food preference [12]. However, this may be different where mothers are in employment. Employed mothers can independently spend earnings on food for their children and therefore diversify food intake, regardless of their husbands’ income [13]. Studies conducted in lower middle-income countries (LMICs) have shown that employed mothers have better knowledge of nutrition and child feeding, can more easily access and interpret nutritional information [14], and make use of available health services [15]. These abilities could entail better IYCF practices [14, 16, 17]. However, while maternal employment could lead to better complementary feeding, it may simultaneously have a negative effect on breastfeeding practices. A study using nationally representative data from Bangladesh has found that maternal employment could lead to increased use of breastmilk substitutes, bottle feeding, and early cessation of breastfeeding [18]. Furthermore, employed mothers might breastfeed insufficiently due to long working hours [19, 20]. Sub-optimum policy support related to maternity leave or lack of breastfeeding-friendly workplaces, including breastfeeding breaks, can lead to poor breastfeeding practices among employed mothers [21]. For example, in Bangladesh, six months fully paid maternity leave, which is a legally protected right, is not strictly implemented in all job sectors, and not all workplaces are adequately equipped to provide breastfeeding-friendly environment [22].
There has been a significant improvement in access to adequate nutrition in Bangladesh over the last three decades [19]. Research suggests that this is largely due to changes in socioeconomic status of the population, in part thanks to income and household wealth accumulation [23]. Women’s participation in the workforce was a catalytic factor of this change [24, 25]. However, the association between maternal employment status and IYCF practices has yet to be reviewed. This systematic review aims to fill this knowledge gap by understanding the influences of maternal employment on IYCF practices. Meta-analysis will provide a consensus of the individual associations between maternal employment and IYCF practices over the years. This could facilitate the implementation of IYCF policies and programs for both employed and unemployed mothers in Bangladesh to improve IYCF practices.
Methods
This systematic review was registered to PROSPERO with registration ID CRD42023408507. Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) was used as the reporting guideline (S1 Appendix) [26].
Data sources and search strategy
Systematic literature search strategies were developed for PubMed, Web of Science, Medline, CINAHL, and Embase. Keywords were used to conduct literature search in Google Scholar. The literature search in the databases was carried out from 10 January 2023 to 26 March 2023. The search strategy has been provided in the S1 Appendix.
Inclusion and exclusion criteria
The PECO framework was used to determine record inclusion as follows: population (P) = mothers having an infant (0–11 months of age) or a young child (12–23 months of age) in Bangladesh; exposure (E) = mothers being employed in any public or private sector jobs or self-employed; comparator (C) = mothers without employment; and outcome (O) = status of IYCF practices, e.g., EIBF, EBF, breastfeeding duration, and quality of complementary feeding. Only observational studies were considered for inclusion because the current study aims to observe the association between the maternal employment and IYCF practices in real-world settings. There was no limit on the publication period, and only records published in English were considered. Records that did not fulfill the inclusion criteria were excluded.
Selection process
After conducting literature searches in the selected databases, title and abstract of the records were imported to Covidence (https://www.covidence.org/) for duplicate removal and screening. The title and abstract were screened by at least two of the six reviewers (FA, TA, IJR, SSA, PS, and MAR), and conflicts were independently resolved by a third reviewer (MAR, PS, and SS). The full text of each record qualifying the title and abstract screening was reviewed by two reviewers, and a third reviewer independently resolved any conflicts. Articles fulfilling full text screening criteria were included for review.
Data extraction
For each of the included records, data was extracted by two of the five reviewers working independently (TA, IJR, SSA, PS, and MAR). One reviewer (MAR) conducted cross-checking of the extracted data and resolved conflicts through mutual discussion. The following variables were included in the data extraction: identity of the records, study population, geographical area covered, study design, data source, IYCF indicators considered, maternal employment status, type of data analysis carried out, effect size, confidence interval, p-value, and variables adjusted for during analysis.
Data synthesis and meta-analysis
Meta-analysis was carried out in relation to three IYCF domains. These were 1) early initiation of breastfeeding, 2) exclusive breastfeeding until six months of age as recommended by WHO, and 3) complementary feeding. Complementary feeding indicators included were minimum dietary diversity (MDD), referring to the presence of food items from at least five out of eight different food groups, and minimum acceptable diet (MAD), consisting of MDD plus recommended daily frequency of the diet [27]. Other indicators including bottle feeding, ever breastfeeding, or provision of iron rich complementary foods were not considered in meta-analysis due to scarcity of sufficient evidence. Effect estimates and their 95% confidence intervals reported in the studies were considered for meta-analysis. The odds ratio (OR) indicating the likelihood of recommended IYCF practices among employed mothers as compared to unemployed mothers was synthesized where records only presented the frequency distribution of the considered variables. Data was also synthesized where the effect estimate was given with an indicator other than odds ratio, rate ratio (RR), or hazard ratio (HR). Where the same data source was used in more than one article to demonstrate the association between the same variables of interest, only one of these articles was selected for the meta-analysis to avoid duplication bias (this was frequently the case where Bangladesh Demographic and Health Survey (BDHS) had been used). If several studies were conducted based on the same data set, the study considering more relevant variables adjusted in the statistical model was included. Furthermore, where the same dataset was used for both MDD and MAD, inclusion of MAD was favored as it is a richer measure of complementary feeding practices. Random effect modelling was used for meta-analysis to account for differences in the association between the variables of interest based on the time-period of the study and the study population. In addition, subgroup analyses based on the national representativeness of the study population were carried out to observe variations in heterogeneity. Furthermore, leave-one-out meta-analysis was carried out to observe how the pooled effect size was affected due to the omission of any of the included studies [28]. A meta funnel plot was produced to observe the small study effect or publication bias [29]. The statistical software package STATA (version 17 StataCorp, College Station, Texas) was used for conducting the meta-analysis.
Assessment of quality and risk of bias
The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the included articles [30]. The NOS scale has different criteria to assess both descriptive (cross-sectional) and analytical (case-control and cohort) studies. To address the risk of bias in the selection process, each record was screened independently by at least two reviewers and conflicts were resolved by a third reviewer (MAR) through collective discussion. The quality of the included articles was further assessed by at least two additional independent reviewers, and conflicts were resolved by another reviewer (MAR) through collective discussion.
Terminologies
Maternal employment was defined as maternal involvement in any income-generating activity as mentioned by the authors of the original articles. An association was considered to be positive when maternal employment was found to be protective of IYCF practices and negative when maternal employment was detrimental to IYCF practices.
Ethical considerations
This study included published articles as sources of data; therefore, informed consent and getting ethical approval were not required. However, the presence of publication bias remains as an ethical concern for this study because it could mislead the pooled effect estimates. Despite potential risk, this study systematically summarized all relevant evidence on how the maternal occupation was associated with IYCF. The findings may be of importance at the policy level. Furthermore, to conduct this study, validated tools such as PRISMA as reporting guideline were used. Therefore, considering the strength of the methods and the public health importance of the topic, the potential benefits might outweigh the potential risk.
Results
A total of 1,917 records were retrieved for screening. Of these, 24 studies met the inclusion criteria and were reviewed. The selection process for the included studies is presented in Fig 1.
[Figure omitted. See PDF.]
Characteristics of the included studies
The characteristics of the included studies have been summarized in Table 1.
[Figure omitted. See PDF.]
The publication period of the included studies was from 1981 to 2022. A total of 23 studies were cross-sectional and one was longitudinal. Fifteen were conducted at the national level, five were conducted at the district level [38–40, 44, 48], and four were conducted at the sub-district level [16, 35, 46, 49]. Of the five district-level studies, two were conducted at hospitals in Dhaka [39, 40]. Fourteen of the studies utilized data from the Bangladesh Demographic and Health Survey.
In the majority of the included studies, mothers were categorized as employed versus unemployed. Only two studies specified the type of maternal employment [16, 44]. Of these, one study categorized maternal employment as skilled and unskilled [16], while the second categorized employment as governmental employment, private employment, and no employment [44].
The association between maternal employment and IYCF indicators is presented in Tables 2 and 3.
[Figure omitted. See PDF.]
[Figure omitted. See PDF.]
Maternal employment and breastfeeding indicators
Early Initiation of Breastfeeding (EIBF).
Four studies focused on the early initiation of breastfeeding [31, 40, 45, 47]. Of these, three found that employed mothers were less likely to initiate early breastfeeding as compared to unemployed mothers [31, 40, 45]. One study found the opposite association [47].
Exclusive Breastfeeding (EBF).
Eleven studies [20, 21, 31, 32, 35, 37–39, 45, 48, 49], published from the analysis of 11 unique datasets/surveys, reported the associations between maternal employment and exclusive breastfeeding. Of these, ten found that employed mothers were less likely to exclusively breastfeed their children as compared to unemployed mothers [20, 21, 31, 32, 35, 37–39, 45, 49] whereas one study found the opposite [48].
Continued breastfeeding.
Of the three studies investigating the association of maternal employment and breastfeeding duration, a positive association was reported in two studies [31, 34] and the other study reported a negative association [42].
Cessation of breastfeeding and bottle-feeding.
Unemployed mothers represented an earlier breastfeeding cessation than that of their counterparts according to all three studies included in the review [18, 33, 43]. Meanwhile, one study [45] investigated the association between maternal employment status and bottle-feeding practices and found that employed mothers had significantly higher odds (OR: 1.88, 95% CI: 1.19, 2.98) of bottle feeding (usually infant formula, powdered milk, and cow’s milk) their children compared to the unemployed mothers.
Maternal occupation and complementary feeding (CF)
Complementary feeding.
Two studies [36, 45] investigated the influence of maternal working status on overall complementary feeding practices and found that employed mothers were more likely to provide recommended complementary feeding than their unemployed counterparts.
Minimum dietary diversity.
Of five studies [16, 35, 36, 44, 46] investigating the association between maternal employment and MDD, two reported positive association [16, 35] and two reported negative associations [36, 46]. Interestingly, one study compared how ensuring MDD varied among mothers with different employment status and found that proportion of mothers who provided their children with complementary food with MDD was higher among those with government jobs than that of those with private sector jobs [44].
Minimum acceptable diet.
Two studies assessing the association between maternal employment and MAD of their children’s complementary food found a positive association in both cases [2, 41].
Meta-analysis
In total, four studies observing the early initiation of breastfeeding among employed mothers compared to their counterparts were included in the meta-analysis. Similarly, seven studies involving exclusive breastfeeding, and five studies involving complementary feeding were included. Analysis found the pooled odds ratios for providing early initiation of breastfeeding, exclusive breastfeeding, and complementary feeding among employed mothers to be 0.79 (95% CI: 0.49, 1.27; p = 0.33), 0.32 (95% CI: 0.16, 0.67; p = 0.002), and 1.07 (95% CI: 0.81, 1.42; p = 0.63), respectively, highlighting a statistically significant lower likelihood of exclusive breastfeeding among employed mothers compared with those who were not employed (Figs 2–4). Subgroup analysis demonstrated a significant difference in pooled association for exclusive breastfeeding between national and sub-national level studies (p = 0.02); however, such difference was not statistically significant (p = 0.95) for complementary feeding indicator (Figs 3 and 4). A high level of heterogeneity was found across all three meta-analyses (I2 = > 80%). Furthermore, publication bias was detected among the studies included in the meta-analysis (S1 Appendix). As identified by leave-one-out meta-analysis, the stability of the overall effect of maternal occupation on EIBF and CF were found to be affected by individual effect, indicating a weak stability of the pooled effect size; however, such effect was not observed for EBF (S1 Appendix).
[Figure omitted. See PDF.]
[Figure omitted. See PDF.]
[Figure omitted. See PDF.]
Quality of included articles
Quality assessment scores, as determined according to Newcastle-Ottawa Scale, of the included cross-sectional studies ranged from 8–10 on a scale from 0 to 10 (Table 1, S1 Appendix). Of the cross-sectional studies, 16 studies were categorized as ‘very good’, and 7 studies were categorized as ‘good’ quality studies. The quality assessment score of the included longitudinal study was 7, which is considered ‘good’ (S1 Appendix). In addition to the Newcastle-Ottawa Scale, we checked each of the included studies for reporting of multicollinearity. Four studies [33, 41, 43, 44] reported standard errors and four other studies [16, 32, 47, 49] reported variance inflation factor (VIF). In addition, five studies [20, 34, 42, 46, 48] calculated the predictability (R2) of the statistical model used. Of these five studies, all but one showed high predictability. Of the included 24 studies, three studies [33, 43, 47] did not adjust estimated associations for other variables such as age of the children, maternal education, employment of husband, or type of delivery. One study [45] adjusted variables for estimated association with bottle feeding practices but did not adjust for non-exclusive breastfeeding or early initiation of breastfeeding. The recall period of the included studies varied between 24 hours [32] to three years [34]. In one study, the recall period was between 3–15 years [42]. Therefore, the data of the included articles could be affected by recall bias to some extent.
Issues in methodology were identified in some included articles. Two studies [15, 29] defined adequate duration of breastfeeding as up to 36 months and 48 months, respectively; therefore, the effect estimate could have been different if minimum recommended duration by the WHO and UNICEF was considered instead as commonly used in other studies [1]. Two studies [39, 40] were found to have sampling errors. However, the methods of these studies, including the construction of the sampling frame, were not accounted for in detail.
Two studies did not consider maternal employment in their adjusted model, and as such only provided crude results for this variable [45, 47]. A calculation error may have been present in one study [20] whereby the authors gave the prevalence of exclusive breastfeeding at the national level as 35.9% while it is known to be 55% as found in BDHS 2014. This could be a result of including an erroneous number of children under six months of age, caused by the exclusion of mothers who had children less than six months of age, as the denominator when calculating the rate of exclusive breastfeeding.
Discussion
In this study, we found maternal employment to be a protective factor for recommended complementary feeding practice; however, it appeared as a detrimental factor for early initiation of breastfeeding and exclusive breastfeeding practices. A variation in strength of associations was observed especially when studies were categorized into national and sub-national levels. Other sources of heterogeneity could be due to variations in time of data collection, study setting, sampling techniques, and different variables of interest adjusted for analysis.
Engagement of women in the workforce appears to be a barrier to optimum breastfeeding practices, largely due to inadequate policy support, even though it is an important indicator of development. Similarly, pooled ORs indicate that maternal employment is associated with a higher risk of not engaging in recommended breastfeeding practices. Employed mothers were found to have facilitated access to breast milk substitutes (BMS), which may be detrimental to recommended breastfeeding practices [40]. Lack of policy support, such as the poor implementation of six month mandatory maternity leave, especially in the private sectors, [45, 50–52], lack of available breastfeeding-friendly workplaces [53, 54], lack of provision of adequate breastfeeding breaks [40, 55], and lack of available day care facilities for infants [40, 55] were identified as potential barriers to optimum breastfeeding practices for employed mothers. In addition, cesarean delivery, which has been found to be a barrier to early breastfeeding in Bangladesh [47, 56], was more common among employed mothers, because of their affordability, than unemployed mothers [56, 57]. Meanwhile, unemployed mothers have been found to be more easily reached with information campaigns; therefore, they were more likely to benefit from mainstream nutrition and public health interventions targeting improvements to breastfeeding knowledge and practices [39, 40]. Considering the aforementioned findings, the maternal employment status in Bangladesh, coupled with suboptimal policy support, seemed to cause working mothers to breastfeed their children for a shorter period [53, 58, 59].
Included studies also explained how maternal employment impacted complementary feeding practices. In general, working mothers were found to have more control over food choices due to improved access through income. In addition, they are more educated and were found to have better knowledge about child health and nutrition than their counterparts, which may lead to better complementary feeding practices [60]. This justification is supported by different studies conducted in Bangladesh, Nepal, and other South Asian countries [61–64]. However, a positive association between maternal employment and better child feeding practices is not always guaranteed. Mothers who were employed but with a low salary and engaged in informal and poor working conditions were at higher risk of failing to secure adequate childcare [65]. Therefore, children whose mothers were working in unsuitable workplace environments, were paid low salaries, or were engaged in the informal sectors experienced poor complementary feeding [16, 35, 36, 46]. These justifications are in accordance with findings from studies further afield, such as in South Africa [66].
In summary, employment can bring a positive impact on the breastfeeding behaviors of mothers. However, it has also been widely found that unsuitable workplace environments with no or insufficient provision of maternity leave act as barriers to the ability of mothers to adhere to recommended breastfeeding practices. Similarly, having a low salary, engaging in informal work, or being subject to poor working conditions appears to be associated with insufficient complementary feeding practices. Therefore, the promotion of breastfeeding and complementary feeding practices through informational and educational interventions cannot alone improve IYCF practices in Bangladesh. The authors recommend appropriately adapting work environments including providing breastfeeding spaces and breaks, raising the minimum wage, and effectively enforcing the international code of breastmilk substitutes could contribute to improving IYCF practices among both employed and unemployed mothers. These initiatives could be beneficial not only for mothers but also for employers: workplace lactation support programs have been shown to improve both breastfeeding outcomes and reduce absenteeism, while also increasing job satisfaction [67].
Strengths, limitations, and future scopes
To the best of our knowledge, this is the first review to systematically investigate the association of maternal employment with IYCF practices in Bangladesh. Four common databases were selected for literature search. Most of the studies included in the review considered nationally representative data, thereby including large numbers of participants. This ensured greater reliability of the findings of the present study, while also making the results externally generalizable to Bangladesh as a whole. Meanwhile, the high consensus had between the reviewers in the screening process, with Cohen’s kappa of inter-rater variability having a mean of 0.86, indicates a low likelihood of selection bias.
The present study was, however, subject to several limitations. To begin with, the associations considered were mostly based on cross-sectional findings, implying that the causality of the association is not guaranteed. As the duration of database search was limited until March 2023, consideration of including any records published beyond that timeframe might result in changes in the pooled associations. Furthermore, several studies using the same dataset were included which may have distorted the apparent weight of certain findings, especially narrative synthesis. When conducting the meta-analysis, reported effect estimates (ORs) were considered rather than synthesizing ORs from the raw data. We examined maternal employment in a dichotomous manner (yes/no), which did not allow for a detailed understanding of employment conditions and stressors (e.g., flexibility, occupational exposure to chemical, type of contract, atypical schedules etc.). There is a need to better describe the characteristics of maternal employment. Unfortunately, this was rarely done in included studies. Finally, the results of the present study could only be generalized in Bangladesh or similar locations only due to the context-specific nature of the studies included.
According to this meta-analysis, findings from studies conducted at sub-national levels were substantially different from national level data. Therefore, those evidence could be further crosschecked and utilized for context specific intervention design.
Policy implications and recommendations
There has been a significant improvement in women’s engagement in the workforce in the last three decades in Bangladesh; from 9.7% in 1986, to 36.3% in 2017 [24]. This is necessary for economic and national development. Indeed, improvements in income per capita, gross domestic product, and human development index score have observed in Bangladesh over the same period [25]. However, it appeared that maternal employment represented a statistically significant negative association with exclusive breastfeeding. Previous research has identified substantial gaps in the implementation of IYCF policies in Bangladesh despite the presence of 19 policy documents related to IYCF practices [68]. In brief, those policies emphasize the implementation of enabling environments for breastfeeding at the workplace, the promotion and protection of breastfeeding and complementary feeding practices, quality implementation of infant- and child-friendly hospital initiatives, increasing the duration of maternity leave, and mandating the mainstreaming of IYCF [68].
Several suggestions for crucial policies to improve multiple aspects of proper IYCF practices can be made based on the findings of this review. To begin, breastfeeding can be encouraged by ensuring the provision of mandatory maternity leave of at least six months with full compensation in both the public and private sectors. Additionally, constructing adequate working environments allowing for breastfeeding breaks in dedicated spaces may be highly beneficial. Meanwhile, complementary feeding practices must be promoted among unemployed mothers as well as mothers working in unsupportive environments. Several steps could be taken, including boosting levels of employment among women, strengthening existing nutrition interventions, and providing additional IYCF services for mothers of low socioeconomic status. Furthermore, barriers to complementary feeding practices could be removed by adapting workplaces accordingly and ensuring gender-equity in compensation [69]. In general, IYCF programs could be strengthened so that mothers from all socioeconomic conditions could be reached, as appropriate.
Conclusion
The association between maternal employment and IYCF indicators in Bangladesh does not appear to be homogenous. Maternal employment seemed to be a protective factor for complementary feeding practices but a risk factor for early breastfeeding initiation and exclusive breastfeeding. Support through policy and its implementation should be extended to employed mothers to allow them to practice exclusive breastfeeding during the first six months. Similarly, support should be given to unemployed mothers to allow for improved complementary feeding practices.
Supporting information
S1 Appendix. Containing quality score of the included articles, leave-one-out meta-analyses, funnel plots, search strategy, funding sources highlighted in the included articles, PRISMA checklist, list of records excluded during full text review, data extractors and date of data extraction, and dataset for meta-analysis.
https://doi.org/10.1371/journal.pone.0316436.s001
Acknowledgments
The authors cordially thank Ferdous Akther (FA) for her kind support for accessing Covidence and participating in the title and abstract screening.
References
1. 1. WHO & UNIECF. Indicators for assessing infant and young child feeding practices part 1 definitions [Internet]. 2021 [cited 2023 Apr 17]. Available from: https://www.who.int/publications/i/item/9789240018389.
* View Article
* Google Scholar
2. 2. Sheikh N, Akram R, Ali N, Haque SR, Tisha S, Mahumud RA, et al. Infant and young child feeding practice, dietary diversity, associated predictors, and child health outcomes in Bangladesh. Journal of Child Health Care. 2019 Jun 1;24(2):260–73. pmid:31159554
* View Article
* PubMed/NCBI
* Google Scholar
3. 3. Bhutta ZA, Ahmed T, Black RE, Cousens S, Dewey K, Giugliani E, et al. What works? Interventions for maternal and child undernutrition and survival. www.thelancet.com [Internet]. 2008;371. Available from: www.thelancet.com pmid:18206226
* View Article
* PubMed/NCBI
* Google Scholar
4. 4. National Institute of Population Research and Training (NIPORT) and ICF 2020. Bangladesh Demographic and Health Survey 2017–18 [Internet]. Dhaka, Bangladesh, and Rockville, Maryland, USA; 2020 [cited 2023 Apr 16]. Available from: https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf
5. 5. Reddy N S, Dharmaraj A, Jacob J, Sindhu KN. Exclusive breastfeeding practices and its determinants in Indian infants: findings from the National Family Health Surveys-4 and 5. Int Breastfeed J. 2023 Dec 1;18(1). pmid:38124065
* View Article
* PubMed/NCBI
* Google Scholar
6. 6. International Institute for Population Sciences (IIPS), ICF. 2021. National Family Health Survey (NFHS-5), 2019–21: India: Volume 1 [Internet]. Mumbai-400088; 2021. Available from: http://www.rchiips.org/nfhs
7. 7. Ministry of Health and Population [Nepal], New ERA, ICF. Nepal Demographic and Health Survey 2022 [Internet]. Kathmandu, Nepal; 2023. Available from: www.DHSprogram.com.
8. 8. Abdulla F, Hossain MM, Karimuzzaman M, Ali M, Rahman A. Likelihood of infectious diseases due to lack of exclusive breastfeeding among infants in Bangladesh. PLoS One. 2022 Feb 1;17(2 February). pmid:35171952
* View Article
* PubMed/NCBI
* Google Scholar
9. 9. Adair LS. How could complementary feeding patterns affect the susceptibility to NCD later in life? Vol. 22, Nutrition, Metabolism and Cardiovascular Diseases. 2012. p. 765–9. pmid:22901844
* View Article
* PubMed/NCBI
* Google Scholar
10. 10. Dewey K. Guiding principles for complementary feeding of the breastfed child [Internet]. 2003 [cited 2023 Apr 16]. Available from: https://pesquisa.bvsalud.org/portal/resource/pt/lis-40345
* View Article
* Google Scholar
11. 11. Hasibuan Y, Batubara A, Suryani S. Mother’s role and knowledge in young children feeding practices on the nutritional status of infant and toddler. Glob J Health Sci. 2019 May 14;11(6):158.
* View Article
* Google Scholar
12. 12. Smith S, Bhattacharyya K. Men’s perceptions of their roles and involvement in household decisions around food in rural Bangladesh [Internet]. 2016 [cited 2023 Apr 16]. Available from: http://ingenaes.illinois.edu/wp-content/uploads/ING-Report-2016-Mens-Perception-Food-Household.-Smit@h-S.-Bangladesh.pdf
* View Article
* Google Scholar
13. 13. Mascie-Taylor CGN, Marks MK, Goto R, Islam R. Impact of a cash-for-work programme on food consumption and nutrition among women and children facing food insecurity in rural Bangladesh. Bull World Health Organ. 2010 Nov;88(11):854–60. pmid:21076567
* View Article
* PubMed/NCBI
* Google Scholar
14. 14. Beyene M, Worku AG, Wassie MM. Dietary diversity, meal frequency and associated factors among infant and young children in Northwest Ethiopia: A cross-sectional study. BMC Public Health. 2015 Oct 3;15(1).
* View Article
* Google Scholar
15. 15. Sen KK, Mallick TS, Bari W. Gender inequality in early initiation of breastfeeding in Bangladesh: A trend analysis. Int Breastfeed J. 2020 Mar 16;15(1). pmid:32178697
* View Article
* PubMed/NCBI
* Google Scholar
16. 16. Ali NB, Tahsina T, Emdadul Hoque DM, Hasan MM, Iqbal A, Huda TM, et al. Association of food security and other socioeconomic factors with dietary diversity and nutritional statuses of children aged 6–59 months in rural Bangladesh. PLoS One. 2019 Aug 1;14(8). pmid:31465509
* View Article
* PubMed/NCBI
* Google Scholar
17. 17. Joshi PC, Angdembe MR, Das SK, Ahmed S, Faruque ASG, Ahmed T. Prevalence of exclusive breastfeeding and associated factors among mothers in rural Bangladesh: A cross-sectional study. Int Breastfeed J. 2014 May 29;9(1). pmid:24904683
* View Article
* PubMed/NCBI
* Google Scholar
18. 18. Akter S, Rahman MdM. The Determinants of Early Cessation of Breastfeeding in Bangladesh. World Health & Population. 2010;11(4). pmid:20739835
* View Article
* PubMed/NCBI
* Google Scholar
19. 19. Dintyala SSD. A study of the relationship between maternal antenatal visitation and adherence to exclusive breastfeeding at 6th month [Internet]. Gillings School of Global Public Health, Department of Maternal and Child Health, The University of North Carolina; 2020 [cited 2023 Apr 16]. Available from: https://cdr.lib.unc.edu/concern/masters_papers/nk322k920
20. 20. Hossain M, Islam A, Kamarul T, Hossain G. Exclusive breastfeeding practice during first six months of an infant’s life in Bangladesh: A country based cross-sectional study. BMC Pediatr. 2018 Mar 2;18(1). pmid:29499670
* View Article
* PubMed/NCBI
* Google Scholar
21. 21. Rahman MA, Khan MN, Akter S, Rahman A, Alam MM, Khan MA, et al. Determinants of exclusive breastfeeding practice in Bangladesh: Evidence from nationally representative survey data. PLoS One. 2020 Jul 1;15(7).
* View Article
* Google Scholar
22. 22. Hasan AMR, Smith G, Selim MA, Akter S, Khan NUZ, Sharmin T, et al. Work and breast milk feeding: a qualitative exploration of the experience of lactating mothers working in ready made garments factories in urban Bangladesh. Int Breastfeed J. 2020 Dec 1;15(1). pmid:33160366
* View Article
* PubMed/NCBI
* Google Scholar
23. 23. Headey D, Hoddinott J, Ali D, Tesfaye R, Dereje M. The Other Asian Enigma: Explaining the Rapid Reduction of Undernutrition in Bangladesh. World Development. 2015;66:749–61.
* View Article
* Google Scholar
24. 24. Bank World. Labor force participation rate, female (% of female population ages 15+) (national estimate)-Bangladesh [Internet]. 2023. Available from: https://data.worldbank.org/indicator/SL.TLF.CACT.FE.NE.ZS?end=2017&locations=BD&start=1961&view=chart
* View Article
* Google Scholar
25. 25. Khatun F, Khan TI, Pervin S. Estimating Women’s Contribution to the Economy: The Case of Bangladesh [Internet]. 2014 [cited 2023 Apr 17]. Available from: https://cpd.org.bd/wp-content/uploads/2017/01/Estimating-Women%E2%80%99s-Contribution-to-the-Economy_The-Case-of-Bangladesh-2015.pdf
* View Article
* Google Scholar
26. 26. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. International Journal of Surgery. 2021 Apr 1;88.
* View Article
* Google Scholar
27. 27. Roy A, Mokbul Hossain M, Abdullah Mohammad Hanif A, Showkat Ali Khan M, Hasan M, Hossaine M, et al. Prevalence of Infant and Young Child Feeding Practices and Differences in Estimates of Minimum Dietary Diversity Using 2008 and 2021 Definitions: Evidence from Bangladesh. 2022. pmid:35415389
* View Article
* PubMed/NCBI
* Google Scholar
28. 28. Willis BH, Riley RD. Measuring the statistical validity of summary meta-analysis and meta-regression results for use in clinical practice. Stat Med. 2017 Sep 20;36(21):3283–301. pmid:28620945
* View Article
* PubMed/NCBI
* Google Scholar
29. 29. Duval S, Tweedie R. Trim and Fill: A Simple Funnel-Plot-Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis. Vol. 56, BIOMETRICS. 2000. pmid:10877304
* View Article
* PubMed/NCBI
* Google Scholar
30. 30. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol [Internet]. 2010;(9):603–5. Available from: https://hal.science/hal-00610427 pmid:20652370
* View Article
* PubMed/NCBI
* Google Scholar
31. 31. Ahmed MS, Whitfield KC, Yunus FM. Trends and predictors of early initiation, exclusive and continued breast-feeding in Bangladesh (2004–2018): A multilevel analysis of demographic and health survey data. British Journal of Nutrition. 2022 Nov 14;128(9):1857–67. pmid:34924064
* View Article
* PubMed/NCBI
* Google Scholar
32. 32. Ahmmed F, Hossain MdJ, Sutopa TS, Al-Mamun Md, Alam M, Islam MdR, et al. The trend in exclusive breastfeeding practice and its association with maternal employment in Bangladesh: A multilevel analysis. Frontiers in Public Health. 2022. pmid:36504941
* View Article
* PubMed/NCBI
* Google Scholar
33. 33. Akter S, Rahman MM. Duration of Breastfeeding and Its Correlates in Bangladesh. Journal of Health, Population and Nutrition. 2010;28(6). pmid:21261205
* View Article
* PubMed/NCBI
* Google Scholar
34. 34. Ayesha U, Mamun ASMA, Sayem MA, Hossain MG. Factors associated with duration of breastfeeding in Bangladesh: evidence from Bangladesh demographic and health survey 2014. BMC Public Health. 2021 Dec 1;21(1). pmid:34565370
* View Article
* PubMed/NCBI
* Google Scholar
35. 35. Basnet S, Frongillo EA, Nguyen PH, Moore S, Arabi M. Associations of maternal resources with care behaviours differ by resource and behaviour. Matern Child Nutr. 2020 Jul 1;16(3). pmid:32216037
* View Article
* PubMed/NCBI
* Google Scholar
36. 36. Blackstone S, Sanghvi T. A comparison of minimum dietary diversity in Bangladesh in 2011 and 2014. Matern Child Nutr. 2018 Oct 1;14(4). pmid:29663657
* View Article
* PubMed/NCBI
* Google Scholar
37. 37. Blackstone SR, Sanghvi T. Predictors of exclusive breastfeeding across three time points in Bangladesh: An examination of the 2007, 2011 and 2014 Demographic and Health Survey. Int Health. 2018 May 1;10(3):149–56. pmid:29579202
* View Article
* PubMed/NCBI
* Google Scholar
38. 38. Haider R, Thorley V. Supporting Exclusive Breastfeeding Among Factory Workers and Their Unemployed Neighbors: Peer Counseling in Bangladesh. Journal of Human Lactation. 2019 Aug 1;36(3):414–25. pmid:31499016
* View Article
* PubMed/NCBI
* Google Scholar
39. 39. Hasan M, Hassan MN, Khan MSI, Tareq MA, Afroj MS. Prevalence, knowledge, attitudes and factors associated with exclusive breastfeeding among mothers in Dhaka, Bangladesh: A cross-sectional study. Popul Med. 2021 Sep 1;3:1–7.
* View Article
* Google Scholar
40. 40. Hasan M, Hassan MdN, Khan MSI, Al Banna MdH. Prevalence and Determinants of Early Initiation of Breastfeeding Among Mothers in Dhaka City, Bangladesh: a Cross-sectional Study. SN Compr Clin Med. 2020 Dec;2(12):2792–8.
* View Article
* Google Scholar
41. 41. Kabir I, Khanam M, Agho KE, Mihrshahi S, Dibley MJ, Roy SK. Determinants of inappropriate complementary feeding practices in infant and young children in Bangladesh: Secondary data analysis of Demographic Health Survey 2007. Matern Child Nutr. 2012 Jan;8(SUPPL. 1):11–27. pmid:22168516
* View Article
* PubMed/NCBI
* Google Scholar
42. 42. Jain AK, Bongaarts J. Breastfeeding: Patterns, Correlates, and Fertility Effects. Family Planning [Internet]. 1981;12(3):79–99. Available from: http://www.jstor.org URL: http://www.jstor.org/stable/1966370 Accessed:07-12-201518:52UTC
* View Article
* Google Scholar
43. 43. Khan JR, Sheikh MT, Muurlink O. Breastfeeding termination and its determinants in Bangladesh: current status data modelling. Early Child Dev Care. 2019;190(16):2594–604.
* View Article
* Google Scholar
44. 44. Kundu S, Sayeed A, Gedef Azene A, Rezyona H, Al Banna MH, Shafiqul M, et al. Exploring the factors associated with dietary diversity of children aged 6–59 months in some rural and slum areas of Bangladesh amid the COVID-19 pandemic: A mixed-effect regression analysis. Current Developments in Nutrition. 2022;6(8). pmid:35957740
* View Article
* PubMed/NCBI
* Google Scholar
45. 45. Mihrshahi S, Kabir I, Roy SK, Agho KE, Senarath U, Dibley MJ. Determinants of infant and young child feeding practices in Bangladesh: Secondary data analysis of Demographic and Health Survey 2004. Food Nutr Bull. 2010;31(2). pmid:20707235
* View Article
* PubMed/NCBI
* Google Scholar
46. 46. Nguyen PH, Avula R, Ruel MT, Saha KK, Ali D, Tran LM, et al. Maternal and child dietary diversity are associated in bangladesh, vietnam, and ethiopia. Journal of Nutrition. 2013 Jul 1;143(7):1176–83. pmid:23658424
* View Article
* PubMed/NCBI
* Google Scholar
47. 47. Raihana S, Alam A, Huda TM, Dibley MJ. Factors associated with delayed initiation of breastfeeding in health facilities: secondary analysis of Bangladesh demographic and health survey 2014. Int Breastfeed J. 2021 Dec 1;16(1). pmid:33482847
* View Article
* PubMed/NCBI
* Google Scholar
48. 48. Rana MM, Islam MR, Karim MR, Islam AZ, Haque MA, Shahiduzzaman M, et al. Knowledge and practices of exclusive breastfeeding among mothers in rural areas of Rajshahi district in Bangladesh: A community clinic based study. PLoS One. 2020 May 1;15(5). pmid:32384096
* View Article
* PubMed/NCBI
* Google Scholar
49. 49. Rasheed S, Frongillo EA, Devine CM, Alam DS, Rasmussen KM. Maternal, infant, and household factors are associated with breast-feeding trajectories during infants’ first 6 months of life in Matlab, Bangladesh. Journal of Nutrition. 2009 Aug;139(8):1582–7. pmid:19549754
* View Article
* PubMed/NCBI
* Google Scholar
50. 50. Afrose L, Banu B, Ahmed KR, Khanom K. Factors associated with knowledge about breastfeeding among female garment workers in Dhaka city [Internet]. Vol. 1, WHO South-East Asia Journal of Public Health. 2012 [cited 2023 Apr 16]. Available from: https://apps.who.int/iris/handle/10665/329839
* View Article
* Google Scholar
51. 51. Tanaka T, Takahashi K, Otsuka K, Bank W. Increasing female education, stagnating female labor force participation, and gains from marriage: The case of rural Bangladesh [Internet]. GRIPS Discussion Papers 19–34. 2020 [cited 2023 Apr 16]. Available from: https://ideas.repec.org/p/ngi/dpaper/19-34.html
* View Article
* Google Scholar
52. 52. Anam RL. Inadequacies and variations of maternity leave policies throughout the world: special focus on Bangladesh. BRAC University Journal [Internet]. 2008 [cited 2023 Apr 16];V(1):93–8. Available from: https://dspace.bracu.ac.bd/xmlui/handle/10361/409
* View Article
* Google Scholar
53. 53. Chen J, Xin T, Gaoshan J, Li Q, Zou K, Tan S, et al. The association between work related factors and breastfeeding practices among Chinese working mothers: A mixed-method approach. Int Breastfeed J. 2019 Jun 27;14(1). pmid:31297138
* View Article
* PubMed/NCBI
* Google Scholar
54. 54. Ogbuanu C, Glover S, Probst J, Liu J, Hussey J. The effect of maternity leave length and time of return to work on breastfeeding. Pediatrics. 2011 Jun;127(6). pmid:21624878
* View Article
* PubMed/NCBI
* Google Scholar
55. 55. Iqbal A. Knowledge and practices regarding infant and young child feeding among mothers working in readymade garments sector in Bangladesh: A cross-sectional survey. Current Research in Nutrition and Food Science. 2021 Apr 1;9(1):190–201.
* View Article
* Google Scholar
56. 56. Ahmmed F, Manik MMR, Jamal Hossain M. Caesarian section (CS) delivery in Bangladesh: A nationally representative cross-sectional study. PLoS One. 2021 Jul 1;16(7 July). pmid:34265013
* View Article
* PubMed/NCBI
* Google Scholar
57. 57. Takahashi K, Ganchimeg T, Ota E, Vogel JP, Souza JP, Laopaiboon M, et al. Prevalence of early initiation of breastfeeding and determinants of delayed initiation of breastfeeding: Secondary analysis of the WHO Global Survey. Sci Rep. 2017 Mar 21;7. pmid:28322265
* View Article
* PubMed/NCBI
* Google Scholar
58. 58. Bertini G, Perugi S, Dani C, Pezzati M, Tronchin M, Rubaltelli FF. Maternal education and the incidence and duration of breast feeding: A prospective study. J Pediatr Gastroenterol Nutr. 2003 Oct;37(4):447–52. pmid:14508215
* View Article
* PubMed/NCBI
* Google Scholar
59. 59. Chan SK, Asirvatham C V. Feeding practices of infants delivered in a district hospital during the implementation of baby friendly hospital initiative. The Medical Journal of Malaysia [Internet]. 2001 [cited 2023 Apr 16];56(01):71–6. Available from: https://europepmc.org/article/med/11503300
* View Article
* Google Scholar
60. 60. Velusamy V, Premkumar PS, Kang G. Exclusive breastfeeding practices among mothers in urban slum settlements: Pooled analysis from three prospective birth cohort studies in South India. Int Breastfeed J. 2017 Aug 1;12(1).
* View Article
* Google Scholar
61. 61. Gelli A, Becquey E, Ganaba R, Headey D, Hidrobo M, Huybregts L, et al. Improving diets and nutrition through an integrated poultry value chain and nutrition intervention (SELEVER) in Burkina Faso: Study protocol for a randomized trial. Trials. 2017 Sep 6;18(1).
* View Article
* Google Scholar
62. 62. Kabir A, Maitrot MRL. Factors influencing feeding practices of extreme poor infants and young children in families of working mothers in Dhaka slums: A qualitative study. PLoS One. 2017 Feb 1;12(2). pmid:28207894
* View Article
* PubMed/NCBI
* Google Scholar
63. 63. Miller LC, Joshi N, Lohani M, Rogers B, Mahato S, Ghosh S, et al. Women’s education level amplifies the effects of a livelihoods-based intervention on household wealth, child diet, and child growth in rural Nepal. Int J Equity Health. 2017 Oct 18;16(1). pmid:29047376
* View Article
* PubMed/NCBI
* Google Scholar
64. 64. Renzaho AMN, Chitekw S, Chen W, Rijal S, Dhakal T, Dahal P. The synergetic effect of cash transfers for families, child sensitive social protection programs, and capacity building for effective social protection on children’s nutritional status in Nepal. Int J Environ Res Public Health. 2017 Dec 4;14(12).
* View Article
* Google Scholar
65. 65. Engle P. The role of caring practices and resources for care in child survival, growth, and development: South and Southeast Asia. Asian Dev Rev. 1999;17(2):132–67.
* View Article
* Google Scholar
66. 66. Horwood C, Haskins L, Alfers L, Masango-Muzindutsi Z, Dobson R, Rollins N. A descriptive study to explore working conditions and childcare practices among informal women workers in KwaZulu-Natal, South Africa: Identifying opportunities to support childcare for mothers in informal work. BMC Pediatr. 2019 Oct 25;19(1). pmid:31651267
* View Article
* PubMed/NCBI
* Google Scholar
67. 67. Wyatt SN. Challenges of the working breastfeeding mother workplace solutions. AAOHN Journal [Internet]. 2002 [cited 2023 Apr 17];50(2):61–6. Available from:
* View Article
* Google Scholar
68. 68. Rasheed S, Roy SK, Das S, Chowdhury SN, Iqbal M, Akter SM, et al. Policy content and stakeholder network analysis for infant and young child feeding in Bangladesh. BMC Public Health. 2017 Jun 13;17.
* View Article
* Google Scholar
69. 69. WHO. International minimum requirements for health protection in the workplace [Internet]. 2017 [cited 2023 Apr 17]. Available from: https://www.who.int/publications/i/item/9789241512602
* View Article
* Google Scholar
Citation: Rifat MA, Sarkar P, Rimu IJ, Alam SS, Ara T, Battle TL, et al. (2025) How is maternal employment associated with infant and young child feeding in Bangladesh? A systematic literature review and meta-analysis. PLoS ONE 20(1): e0316436. https://doi.org/10.1371/journal.pone.0316436
About the Authors:
M. A. Rifat
Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
E-mail: [email protected]
Affiliation: Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
ORICD: https://orcid.org/0000-0003-0562-9791
Plabon Sarkar
Roles: Data curation, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation: Caritas Bangladesh, Dhaka, Bangladesh
Israth Jahan Rimu
Roles: Data curation, Investigation, Validation, Visualization, Writing – review & editing
Current address: Department of Nutrition and Food Engineering, Daffodil International University, Savar, Dhaka, Bangladesh
Affiliation: Department of Food Technology and Nutrition Science, Noakhali Science and Technology University, Noakhali, Bangladesh
Syeda Saima Alam
Roles: Data curation, Validation, Visualization, Writing – review & editing
Affiliation: Department of Food Technology and Nutrition Science, Noakhali Science and Technology University, Noakhali, Bangladesh
Tasnu Ara
Roles: Data curation, Validation, Visualization, Writing – review & editing
Affiliation: Nutrition International, Dhaka, Bangladesh
ORICD: https://orcid.org/0000-0002-1105-7876
Tobias Lindström Battle
Roles: Visualization, Writing – review & editing
Affiliation: Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
Manzur Kader
Roles: Visualization, Writing – review & editing
Affiliation: Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
ORICD: https://orcid.org/0000-0001-8181-648X
Sanjib Saha
Roles: Supervision, Visualization, Writing – review & editing
Affiliation: Department of Clinical Sciences, Health Economics Unit, Lund University, Lund, Sweden
[/RAW_REF_TEXT]
[/RAW_REF_TEXT]
[/RAW_REF_TEXT]
[/RAW_REF_TEXT]
1. WHO & UNIECF. Indicators for assessing infant and young child feeding practices part 1 definitions [Internet]. 2021 [cited 2023 Apr 17]. Available from: https://www.who.int/publications/i/item/9789240018389.
2. Sheikh N, Akram R, Ali N, Haque SR, Tisha S, Mahumud RA, et al. Infant and young child feeding practice, dietary diversity, associated predictors, and child health outcomes in Bangladesh. Journal of Child Health Care. 2019 Jun 1;24(2):260–73. pmid:31159554
3. Bhutta ZA, Ahmed T, Black RE, Cousens S, Dewey K, Giugliani E, et al. What works? Interventions for maternal and child undernutrition and survival. www.thelancet.com [Internet]. 2008;371. Available from: www.thelancet.com pmid:18206226
4. National Institute of Population Research and Training (NIPORT) and ICF 2020. Bangladesh Demographic and Health Survey 2017–18 [Internet]. Dhaka, Bangladesh, and Rockville, Maryland, USA; 2020 [cited 2023 Apr 16]. Available from: https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf
5. Reddy N S, Dharmaraj A, Jacob J, Sindhu KN. Exclusive breastfeeding practices and its determinants in Indian infants: findings from the National Family Health Surveys-4 and 5. Int Breastfeed J. 2023 Dec 1;18(1). pmid:38124065
6. International Institute for Population Sciences (IIPS), ICF. 2021. National Family Health Survey (NFHS-5), 2019–21: India: Volume 1 [Internet]. Mumbai-400088; 2021. Available from: http://www.rchiips.org/nfhs
7. Ministry of Health and Population [Nepal], New ERA, ICF. Nepal Demographic and Health Survey 2022 [Internet]. Kathmandu, Nepal; 2023. Available from: www.DHSprogram.com.
8. Abdulla F, Hossain MM, Karimuzzaman M, Ali M, Rahman A. Likelihood of infectious diseases due to lack of exclusive breastfeeding among infants in Bangladesh. PLoS One. 2022 Feb 1;17(2 February). pmid:35171952
9. Adair LS. How could complementary feeding patterns affect the susceptibility to NCD later in life? Vol. 22, Nutrition, Metabolism and Cardiovascular Diseases. 2012. p. 765–9. pmid:22901844
10. Dewey K. Guiding principles for complementary feeding of the breastfed child [Internet]. 2003 [cited 2023 Apr 16]. Available from: https://pesquisa.bvsalud.org/portal/resource/pt/lis-40345
11. Hasibuan Y, Batubara A, Suryani S. Mother’s role and knowledge in young children feeding practices on the nutritional status of infant and toddler. Glob J Health Sci. 2019 May 14;11(6):158.
12. Smith S, Bhattacharyya K. Men’s perceptions of their roles and involvement in household decisions around food in rural Bangladesh [Internet]. 2016 [cited 2023 Apr 16]. Available from: http://ingenaes.illinois.edu/wp-content/uploads/ING-Report-2016-Mens-Perception-Food-Household.-Smit@h-S.-Bangladesh.pdf
13. Mascie-Taylor CGN, Marks MK, Goto R, Islam R. Impact of a cash-for-work programme on food consumption and nutrition among women and children facing food insecurity in rural Bangladesh. Bull World Health Organ. 2010 Nov;88(11):854–60. pmid:21076567
14. Beyene M, Worku AG, Wassie MM. Dietary diversity, meal frequency and associated factors among infant and young children in Northwest Ethiopia: A cross-sectional study. BMC Public Health. 2015 Oct 3;15(1).
15. Sen KK, Mallick TS, Bari W. Gender inequality in early initiation of breastfeeding in Bangladesh: A trend analysis. Int Breastfeed J. 2020 Mar 16;15(1). pmid:32178697
16. Ali NB, Tahsina T, Emdadul Hoque DM, Hasan MM, Iqbal A, Huda TM, et al. Association of food security and other socioeconomic factors with dietary diversity and nutritional statuses of children aged 6–59 months in rural Bangladesh. PLoS One. 2019 Aug 1;14(8). pmid:31465509
17. Joshi PC, Angdembe MR, Das SK, Ahmed S, Faruque ASG, Ahmed T. Prevalence of exclusive breastfeeding and associated factors among mothers in rural Bangladesh: A cross-sectional study. Int Breastfeed J. 2014 May 29;9(1). pmid:24904683
18. Akter S, Rahman MdM. The Determinants of Early Cessation of Breastfeeding in Bangladesh. World Health & Population. 2010;11(4). pmid:20739835
19. Dintyala SSD. A study of the relationship between maternal antenatal visitation and adherence to exclusive breastfeeding at 6th month [Internet]. Gillings School of Global Public Health, Department of Maternal and Child Health, The University of North Carolina; 2020 [cited 2023 Apr 16]. Available from: https://cdr.lib.unc.edu/concern/masters_papers/nk322k920
20. Hossain M, Islam A, Kamarul T, Hossain G. Exclusive breastfeeding practice during first six months of an infant’s life in Bangladesh: A country based cross-sectional study. BMC Pediatr. 2018 Mar 2;18(1). pmid:29499670
21. Rahman MA, Khan MN, Akter S, Rahman A, Alam MM, Khan MA, et al. Determinants of exclusive breastfeeding practice in Bangladesh: Evidence from nationally representative survey data. PLoS One. 2020 Jul 1;15(7).
22. Hasan AMR, Smith G, Selim MA, Akter S, Khan NUZ, Sharmin T, et al. Work and breast milk feeding: a qualitative exploration of the experience of lactating mothers working in ready made garments factories in urban Bangladesh. Int Breastfeed J. 2020 Dec 1;15(1). pmid:33160366
23. Headey D, Hoddinott J, Ali D, Tesfaye R, Dereje M. The Other Asian Enigma: Explaining the Rapid Reduction of Undernutrition in Bangladesh. World Development. 2015;66:749–61.
24. Bank World. Labor force participation rate, female (% of female population ages 15+) (national estimate)-Bangladesh [Internet]. 2023. Available from: https://data.worldbank.org/indicator/SL.TLF.CACT.FE.NE.ZS?end=2017&locations=BD&start=1961&view=chart
25. Khatun F, Khan TI, Pervin S. Estimating Women’s Contribution to the Economy: The Case of Bangladesh [Internet]. 2014 [cited 2023 Apr 17]. Available from: https://cpd.org.bd/wp-content/uploads/2017/01/Estimating-Women%E2%80%99s-Contribution-to-the-Economy_The-Case-of-Bangladesh-2015.pdf
26. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. International Journal of Surgery. 2021 Apr 1;88.
27. Roy A, Mokbul Hossain M, Abdullah Mohammad Hanif A, Showkat Ali Khan M, Hasan M, Hossaine M, et al. Prevalence of Infant and Young Child Feeding Practices and Differences in Estimates of Minimum Dietary Diversity Using 2008 and 2021 Definitions: Evidence from Bangladesh. 2022. pmid:35415389
28. Willis BH, Riley RD. Measuring the statistical validity of summary meta-analysis and meta-regression results for use in clinical practice. Stat Med. 2017 Sep 20;36(21):3283–301. pmid:28620945
29. Duval S, Tweedie R. Trim and Fill: A Simple Funnel-Plot-Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis. Vol. 56, BIOMETRICS. 2000. pmid:10877304
30. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol [Internet]. 2010;(9):603–5. Available from: https://hal.science/hal-00610427 pmid:20652370
31. Ahmed MS, Whitfield KC, Yunus FM. Trends and predictors of early initiation, exclusive and continued breast-feeding in Bangladesh (2004–2018): A multilevel analysis of demographic and health survey data. British Journal of Nutrition. 2022 Nov 14;128(9):1857–67. pmid:34924064
32. Ahmmed F, Hossain MdJ, Sutopa TS, Al-Mamun Md, Alam M, Islam MdR, et al. The trend in exclusive breastfeeding practice and its association with maternal employment in Bangladesh: A multilevel analysis. Frontiers in Public Health. 2022. pmid:36504941
33. Akter S, Rahman MM. Duration of Breastfeeding and Its Correlates in Bangladesh. Journal of Health, Population and Nutrition. 2010;28(6). pmid:21261205
34. Ayesha U, Mamun ASMA, Sayem MA, Hossain MG. Factors associated with duration of breastfeeding in Bangladesh: evidence from Bangladesh demographic and health survey 2014. BMC Public Health. 2021 Dec 1;21(1). pmid:34565370
35. Basnet S, Frongillo EA, Nguyen PH, Moore S, Arabi M. Associations of maternal resources with care behaviours differ by resource and behaviour. Matern Child Nutr. 2020 Jul 1;16(3). pmid:32216037
36. Blackstone S, Sanghvi T. A comparison of minimum dietary diversity in Bangladesh in 2011 and 2014. Matern Child Nutr. 2018 Oct 1;14(4). pmid:29663657
37. Blackstone SR, Sanghvi T. Predictors of exclusive breastfeeding across three time points in Bangladesh: An examination of the 2007, 2011 and 2014 Demographic and Health Survey. Int Health. 2018 May 1;10(3):149–56. pmid:29579202
38. Haider R, Thorley V. Supporting Exclusive Breastfeeding Among Factory Workers and Their Unemployed Neighbors: Peer Counseling in Bangladesh. Journal of Human Lactation. 2019 Aug 1;36(3):414–25. pmid:31499016
39. Hasan M, Hassan MN, Khan MSI, Tareq MA, Afroj MS. Prevalence, knowledge, attitudes and factors associated with exclusive breastfeeding among mothers in Dhaka, Bangladesh: A cross-sectional study. Popul Med. 2021 Sep 1;3:1–7.
40. Hasan M, Hassan MdN, Khan MSI, Al Banna MdH. Prevalence and Determinants of Early Initiation of Breastfeeding Among Mothers in Dhaka City, Bangladesh: a Cross-sectional Study. SN Compr Clin Med. 2020 Dec;2(12):2792–8.
41. Kabir I, Khanam M, Agho KE, Mihrshahi S, Dibley MJ, Roy SK. Determinants of inappropriate complementary feeding practices in infant and young children in Bangladesh: Secondary data analysis of Demographic Health Survey 2007. Matern Child Nutr. 2012 Jan;8(SUPPL. 1):11–27. pmid:22168516
42. Jain AK, Bongaarts J. Breastfeeding: Patterns, Correlates, and Fertility Effects. Family Planning [Internet]. 1981;12(3):79–99. Available from: http://www.jstor.org URL: http://www.jstor.org/stable/1966370 Accessed:07-12-201518:52UTC
43. Khan JR, Sheikh MT, Muurlink O. Breastfeeding termination and its determinants in Bangladesh: current status data modelling. Early Child Dev Care. 2019;190(16):2594–604.
44. Kundu S, Sayeed A, Gedef Azene A, Rezyona H, Al Banna MH, Shafiqul M, et al. Exploring the factors associated with dietary diversity of children aged 6–59 months in some rural and slum areas of Bangladesh amid the COVID-19 pandemic: A mixed-effect regression analysis. Current Developments in Nutrition. 2022;6(8). pmid:35957740
45. Mihrshahi S, Kabir I, Roy SK, Agho KE, Senarath U, Dibley MJ. Determinants of infant and young child feeding practices in Bangladesh: Secondary data analysis of Demographic and Health Survey 2004. Food Nutr Bull. 2010;31(2). pmid:20707235
46. Nguyen PH, Avula R, Ruel MT, Saha KK, Ali D, Tran LM, et al. Maternal and child dietary diversity are associated in bangladesh, vietnam, and ethiopia. Journal of Nutrition. 2013 Jul 1;143(7):1176–83. pmid:23658424
47. Raihana S, Alam A, Huda TM, Dibley MJ. Factors associated with delayed initiation of breastfeeding in health facilities: secondary analysis of Bangladesh demographic and health survey 2014. Int Breastfeed J. 2021 Dec 1;16(1). pmid:33482847
48. Rana MM, Islam MR, Karim MR, Islam AZ, Haque MA, Shahiduzzaman M, et al. Knowledge and practices of exclusive breastfeeding among mothers in rural areas of Rajshahi district in Bangladesh: A community clinic based study. PLoS One. 2020 May 1;15(5). pmid:32384096
49. Rasheed S, Frongillo EA, Devine CM, Alam DS, Rasmussen KM. Maternal, infant, and household factors are associated with breast-feeding trajectories during infants’ first 6 months of life in Matlab, Bangladesh. Journal of Nutrition. 2009 Aug;139(8):1582–7. pmid:19549754
50. Afrose L, Banu B, Ahmed KR, Khanom K. Factors associated with knowledge about breastfeeding among female garment workers in Dhaka city [Internet]. Vol. 1, WHO South-East Asia Journal of Public Health. 2012 [cited 2023 Apr 16]. Available from: https://apps.who.int/iris/handle/10665/329839
51. Tanaka T, Takahashi K, Otsuka K, Bank W. Increasing female education, stagnating female labor force participation, and gains from marriage: The case of rural Bangladesh [Internet]. GRIPS Discussion Papers 19–34. 2020 [cited 2023 Apr 16]. Available from: https://ideas.repec.org/p/ngi/dpaper/19-34.html
52. Anam RL. Inadequacies and variations of maternity leave policies throughout the world: special focus on Bangladesh. BRAC University Journal [Internet]. 2008 [cited 2023 Apr 16];V(1):93–8. Available from: https://dspace.bracu.ac.bd/xmlui/handle/10361/409
53. Chen J, Xin T, Gaoshan J, Li Q, Zou K, Tan S, et al. The association between work related factors and breastfeeding practices among Chinese working mothers: A mixed-method approach. Int Breastfeed J. 2019 Jun 27;14(1). pmid:31297138
54. Ogbuanu C, Glover S, Probst J, Liu J, Hussey J. The effect of maternity leave length and time of return to work on breastfeeding. Pediatrics. 2011 Jun;127(6). pmid:21624878
55. Iqbal A. Knowledge and practices regarding infant and young child feeding among mothers working in readymade garments sector in Bangladesh: A cross-sectional survey. Current Research in Nutrition and Food Science. 2021 Apr 1;9(1):190–201.
56. Ahmmed F, Manik MMR, Jamal Hossain M. Caesarian section (CS) delivery in Bangladesh: A nationally representative cross-sectional study. PLoS One. 2021 Jul 1;16(7 July). pmid:34265013
57. Takahashi K, Ganchimeg T, Ota E, Vogel JP, Souza JP, Laopaiboon M, et al. Prevalence of early initiation of breastfeeding and determinants of delayed initiation of breastfeeding: Secondary analysis of the WHO Global Survey. Sci Rep. 2017 Mar 21;7. pmid:28322265
58. Bertini G, Perugi S, Dani C, Pezzati M, Tronchin M, Rubaltelli FF. Maternal education and the incidence and duration of breast feeding: A prospective study. J Pediatr Gastroenterol Nutr. 2003 Oct;37(4):447–52. pmid:14508215
59. Chan SK, Asirvatham C V. Feeding practices of infants delivered in a district hospital during the implementation of baby friendly hospital initiative. The Medical Journal of Malaysia [Internet]. 2001 [cited 2023 Apr 16];56(01):71–6. Available from: https://europepmc.org/article/med/11503300
60. Velusamy V, Premkumar PS, Kang G. Exclusive breastfeeding practices among mothers in urban slum settlements: Pooled analysis from three prospective birth cohort studies in South India. Int Breastfeed J. 2017 Aug 1;12(1).
61. Gelli A, Becquey E, Ganaba R, Headey D, Hidrobo M, Huybregts L, et al. Improving diets and nutrition through an integrated poultry value chain and nutrition intervention (SELEVER) in Burkina Faso: Study protocol for a randomized trial. Trials. 2017 Sep 6;18(1).
62. Kabir A, Maitrot MRL. Factors influencing feeding practices of extreme poor infants and young children in families of working mothers in Dhaka slums: A qualitative study. PLoS One. 2017 Feb 1;12(2). pmid:28207894
63. Miller LC, Joshi N, Lohani M, Rogers B, Mahato S, Ghosh S, et al. Women’s education level amplifies the effects of a livelihoods-based intervention on household wealth, child diet, and child growth in rural Nepal. Int J Equity Health. 2017 Oct 18;16(1). pmid:29047376
64. Renzaho AMN, Chitekw S, Chen W, Rijal S, Dhakal T, Dahal P. The synergetic effect of cash transfers for families, child sensitive social protection programs, and capacity building for effective social protection on children’s nutritional status in Nepal. Int J Environ Res Public Health. 2017 Dec 4;14(12).
65. Engle P. The role of caring practices and resources for care in child survival, growth, and development: South and Southeast Asia. Asian Dev Rev. 1999;17(2):132–67.
66. Horwood C, Haskins L, Alfers L, Masango-Muzindutsi Z, Dobson R, Rollins N. A descriptive study to explore working conditions and childcare practices among informal women workers in KwaZulu-Natal, South Africa: Identifying opportunities to support childcare for mothers in informal work. BMC Pediatr. 2019 Oct 25;19(1). pmid:31651267
67. Wyatt SN. Challenges of the working breastfeeding mother workplace solutions. AAOHN Journal [Internet]. 2002 [cited 2023 Apr 17];50(2):61–6. Available from:
68. Rasheed S, Roy SK, Das S, Chowdhury SN, Iqbal M, Akter SM, et al. Policy content and stakeholder network analysis for infant and young child feeding in Bangladesh. BMC Public Health. 2017 Jun 13;17.
69. WHO. International minimum requirements for health protection in the workplace [Internet]. 2017 [cited 2023 Apr 17]. Available from: https://www.who.int/publications/i/item/9789241512602
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2025 Rifat et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Background
In the last three decades, the increasing trend in female employment in Bangladesh has been critically analyzed from a socioeconomic point of view; however, its impact on infant and young child feeding (IYCF) practices has yet to be systematically reviewed. The aim of this systematic review and meta-analysis is to investigate the association between these variables.
Methods
A systematic literature search was conducted in PubMed, Medline, Web of Science, Embase, CINAHL, and Google Scholar to retrieve relevant records with no restriction of publication period. The Covidence tool was used for screening and data extraction. Meta-analysis was carried out using random effect models. The Newcastle-Ottawa scale was used for the quality assessment of the included articles.
Results
A total of 24 articles were included. Of these, 16 focused on breastfeeding-related indicators, 6 focused on complementary feeding-related indicators, and 2 focused on both. Maternal employment was found to have both positive (protective) and negative (detrimental) associations with exclusive breastfeeding, whereas it was mainly positively associated with complementary feeding practices. Meta-analysis showed the pooled odds ratio of recommended early initiation of breastfeeding, exclusive breastfeeding, and complementary feeding among employed mothers were 0.79 (95% CI: 0.49, 1.27; p = 0.33), 0.32 (95% CI:0.16, 0.67; p = 0.002), and 1.07 (95% CI: 0.81, 1.42; p = 0.63) compared to their counterparts, respectively.
Conclusions
Maternal employment appears not to be a protective factor for some important breastfeeding indicators in Bangladesh. For example, there was a statistically significant lower likelihood of exclusive breastfeeding practice among employed mothers as compared to those who were not employed. Therefore, these issues should be taken into consideration when formulating relevant policies and interventions, e.g., breastfeeding-friendly workplace.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer