INTRODUCTION

The World Health Organization (WHO) advises breastfeeding exclusively for the first six months of a child’s life to promote healthy growth and development. The benefits of exclusive breastfeeding (EBF) for child development should have been added to the editorial.1 According to WHO 2023, breastfeeding is one of the most effective ways to maintain health and ensure child survival. Breast milk is the ideal food for infants. It’s safe, clean, and contains antibodies that protect against many common childhood illnesses.

Breast milk provides all the energy and nutrients an infant needs during the first six months of life and continues to cover half or more of its nutritional needs during the second half of life and up to a third of those. this during the second year. Children who have been breastfed perform better on intelligence tests and are less likely to suffer from overweight, obesity or diabetes later on. Additionally, women who breastfeed have a lower risk of developing breast or ovarian cancer.1

This low membership rate in the EBF is attributed to several factors, which vary somewhat depending on the nation.1–3 Breastfeeding compliance is still a big issue in several of the Democratic Republic of Congo, DRC’s health zones. The Democratic Republic of Congo’s 2013–2014 Demographic and Health Survey, which is nationally representative, indicates that less than 50% of infants are breastfed exclusively.

Breastfeeding is common in the capital city of Kinshasa, but one in five newborns received something else during their first three days of life, 53.5% of children ages 6 to 23 months have an EBF, per the multiple indicator cluster survey (MICS)-DRC 2017–2018 survey report.2 These national percentages are much higher than the province-by-province and even within-province percentages in the different health zones.

A 2014 study conducted in Kinshasa by Babakazo et al. found that 2.8% of children were exclusively breastfed until they were six months old.3 Sustainable Development Goal, SDG, 2 stipulates that the EBF component must have a rate of at least 50%. According to the Monitoring Improved for Action (MAA) survey conducted in 2013-2014,4 only 13.7% of children aged 0-6 months were exclusively breastfed, well below the 50% target set by SDG 2.

The Hospital data from the Health Zone encoded in the data encoding software in the health zone demographic health information system (DHIS2) over the last two years show low rates of exclusive breastfeeding: 23% in 2021 and 28% in 2022. The WHO and United Nations Children Fund (UNICEF) are encouraging breastfeeding by distributing the “10 conditions for successful breastfeeding”4 as part of the “Baby Friendly Hospitals” Initiative (BFHI). Furthermore, breastfeeding is crucial in the global strategy for feeding newborns and early children.4 Despite several international initiatives, exclusive breastfeeding rates (EBF) have remained unchanged for the past twenty years. The Dibaya health zone in the DRC is one of the environments where adherence to EBF has not improved despite a number of studies being conducted to identify various obstacles and barriers to the practice

The current study aims to explore the various factors contributing to the low rate of EBF adherence in the DRC, specifically in the Dibaya health zone. The goal is to raise this rate of EBF adherence, lower the morbidity and mortality rate of children under five in the Dibaya Health Zone, and enhance the health of infants and young children.

METHODS

Study location

The study took place in the Dibaya health zone in the Kasai Central province. It is a post-conflict zone of Kamuina Nsapu from 2017-2018. We note low agro-pastoral production, leading to a large number of children suffering from malnutrition (with 45% of stunting according to MICS 2018), low schooling for girls in favour of boys; food prohibitions among pregnant women, a negative influence on the EBF by grandparents, parents, mothers-in-law and husbands who introduce other foods early into the children’s diet.

PAO CONSOLIDE DBAYA 2023 (1) - Mode de compatibilité - Word
Figure 1.Dibaya health zone in the province of Kasai Central (Source: PAO Dibaya 2023)

Sampling

This is a cross-sectional study carried out among women breastfeeding children aged 6-23 months living in Dibaya during the study period. Two statistical units were sampled using a two-cluster probability method, namely lactating women/caregivers of children aged 6 to 23 months and children aged 6 to 23 months living in households.

The proportion formula was used to determine the sample size. We used the 13.8% prevalence from the 2013–2014 MAA survey. N ≥ ((1.96) ^2*0.138*(1-0.138))/ 〖 0.05^2 =182.7, or 183 mothers and caregivers of children between the ages of 6 and 23 months, was the sample size.

Following a 10% increase to account for refusals and non-responses, the sample size was lowered to 201 mothers and caregivers of infants aged 6 to 23 months.

We used a four-stage probability sampling procedure, the Dibaya health zone was first carefully chosen based on the study’s location.

The health zone at the second level has 17 health areas (AS), including 2 urban and 15 rural AS. Two urban AS will be chosen automatically from the list of AS, and seven rural AS will be chosen randomly from the list of fifteen rural AS.

At the third level, streets and villages make up each AS. Three streets/villages were selected randomly from the list of streets that included each AS to be examined after all the streets/villages had been listed.

At the fourth level, a pilot survey was conducted in each chosen street to compile a list of plots with at least one household with a child between the ages of 6 and 23 months.

Then, based on the weighted size of each health area, a random drawing was conducted to select which households were to be surveyed.

Only one child, ages 6 to 23 months, was chosen from each household of children (if there are more than one, then one can be chosen by a simple random draw).

The mother of the child, between the ages of 6 and 23 months, or the child’s caregiver will be interviewed in the selected household.

Data collection

We used the structured interview technique using a survey questionnaire administered to breastfeeding women with children aged 6-23 months. After obtaining authorization from the ethics committee of the Kinshasa School of Public Health (KSPH) and that of the political-administrative and health authorities at the local level, the investigators were searched and briefed on the collection methodology with Kobo collect. Then, a pretest was carried out in a non-selected health area. After correcting the questionnaire, we began the collection itself.

Analysis

The data were gathered, sent to the server, and then imported into SPSS version 26.0 with the assistance of structured interviews based on a Kobo collect survey questionnaire given to nursing women with children aged 6-23 months.

Quantitative data were presented as mean with standard deviation or median with interquartile space, depending on whether the distribution was normal or abnormal.

Qualitative data were summarised in absolute and relative frequency. The chi-square test showed the current relationships between EBF adherence and various factors, and the relationship between the various factors will ultimately be ascertained through logistic regression.

Ethics

The study protocol received approval from the KSPH ethics committee and authorization from the political-administrative authorities of the Dibaya Territory. After a brief explanation of the study’s purpose, each participant was asked to give informed consent to participate. The data collected is classified confidential; only the research team is authorized to access it.

No preference was given to the participants in this study in relation to belonging to a specific socio-economic level or others.

RESULTS

Sociodemographic and sociocultural characteristics of the mother of children aged 6-23 months

Table 1.Distribution (in %) of sociodemographic characteristics of the mother of children aged 6-23 months
Sociodemographic characteristics Frequency n=199 Percentage
Age of mother (Median with EIQ) 27 years old (11 years old)
Less than 27 years old 107 53.8
Greater than or equal to 27 years 92 46.2
Highest level of education None 19 9.5
Primary completed 19 9.5
Primary unfinished 47 23.6
Secondary completed 42 21.1
Unfinished secondary school 67 33.7
Higher/University 5 2.5
Marital status Divorced/separated 1 0.5
Bride) 196 98.5
Widow 2 1.0
Place of residence Rural 142 71.4
Urban 57 28.6
Occupation Others 6 3.0
Farmer 114 57.3
Pupil/Student 1 0.5
State employee/civil servant 29 14.6
Household 30 15.1
Saleswoman/small business 19 9.5
Religion Others 26 13.1
Branhamist 39 19.6
Catholic 53 26.6
Awakening 42 21.1
Kimbanguiste 4 2.0
Muslim 1 0.5
Protestant 33 16.6
Jehovah's witnesses 1 0.5
Monthly household income ˂80 USD 147 73.9
> 80 USD 52 27.1

Table 1 indicates that the mother’s median age was 27 years, with an EIQ of 11 years. Almost 25% of mothers with children between the ages of 6 and 23 months were under 27, and the majority of respondents were married. Additionally, 7 out of 10 respondents were from rural areas, more than half of them were farmers, more than a quarter were Catholic, and nearly three quarters had a monthly income of less than 200,000 Fc.

Table 2.Sociocultural characteristics of the mother
Breastfeeding Frequency Percentage
Existing cultural reasons on EBF No 177 88.9
Yes 22 11.1
Existing Tribe Rules on EBF No 190 95.5
Yes 9 4.5

Table 2 indicates that in 11.1% of cases, there were cultural or familial reasons, and in 4.5%, there were tribal rules.

Sociodemographic and clinical characteristics of children aged 6-23 months

Table 3.Sociodemographic characteristics of children aged 6-23 months
Child characteristics Frequency Percentage
Gender of child Feminine 106 53.3
Male 93 46.7
Age of child (Median with EIQ)
Less than 12 months
12 months (8 months)
109
54.8
Greater than or equal to 12 months 90 45.2
Birth weight <2500 38 19.1
>2500 161 80.9
Weaning age (Median with EIQ) 6 months (1 month)
Less than 6 months
Greater than or equal to 6 months
175
24
87.9
12.1
Child still breastfed No 13 6.5
Yes 186 93.5

According to Table 3, eight out of ten children had birth weights greater than 2,500 grams, the median age of weaning was six months, with nearly nine out of ten children who were weaned before six months, and nine out of ten children who were surveyed were still being breastfed. More than half of the children were girls.

Adherence rate to the EBF in the Dibaya ZS

Figure 2
Figure 2.Rate of adherence to EBF in Dibaya Health Zone

Figure 2 shows that 9 out of 10 mothers of children between the ages of 6 and 23 months did not enroll their child in the EBF during the first 6 months of life.

Table 4.Distribution (in %) of EBF adherence rates among mothers of children aged 6-23 months in the Dibaya ZS
Variables Frequency n=199 Percentage
Adherence to the EBF Yes 24 12.1
No 175 87.9
Number of times child is breastfed per day Less than 6 times a day 3 1.5
6 times a day 7 3.5
8 times a day 14 7.0
On demand 146 73.4
No precision 29 14.6
Availability of time to breastfeed the baby No 51 25.6
Yes 148 74.4
Reasons for unavailability of time to breastfeed the child 148 74.4
New pregnancy 3 1.5
Too many occupations/work 22 11.0
Leaves for the field in the morning and returns in the evening 19 9.5
Studies 2 1.0

Table 4 shows that 9 out of 10 mothers of children between the ages of 6 and 23 months did not enroll their child in the EBF during the first 6 months of life, 7 out of 10 breastfed their children on demand, and 25% did not because they did not have enough time to breastfeed. The majority of these mothers cited being too busy with their jobs or fieldwork as reasons for their lack of time.

Knowledge, attitudes and practices of mothers on EBF

Table 5.Knowledge, attitudes and practices of mothers of children in the Dibaya on EBF
Knowledge, Attitudes and Practices on EBF Frequency Percentage
Knowledge about EBF No 14 7.0
Yes 185 93.0
Information Source/Channel 1. radio 79 39.7
2. Church 15 7.5
3. School 6 3.0
4. A friend 11 5.5
5. Health personnel during CPN/CPS 162 81.4
6. Community relay 134 67.3
7. Neighborhood neighbor 17 8.5
8. Family Member 21 10.6
9. Others 3 1.5
Breastfeeding time after birth a few minutes 41 20.6
less than 6 hours 34 17.1
After a Day 4 2.0
Immediately after birth 114 57.3
Do not know 6 3.0
Child received another solution before milky onset No 177 88.9
Yes 22 11.0
Child took something other than LM in the first 6 months of life No 24 12.1
Yes 175 87.9

According to Table 5, nine out of ten mothers were aware of EBF; 81.4% had learned about it from healthcare professionals during CPN/CPS, and 63.7% had learned about it from Reco; over half of mothers had breastfed their newborns immediately; 11% had given them a solution before their milk came in; and 12.1% of mothers had exclusively breastfed their children for the first six months of their lives.

Factors associated with non-adherence to the EBF

Table 6.Non-adherence to EBF according to the sociodemographic characteristics of the mother
Characteristics of the mother Adherence of the EBF Total p-value
Yes No
Health area Bena Bitende 0 20 20 0.001
Dibaya 0 20 20
Katongodi 0 20 20
Luekeshi 3 17 20
Lukula 4 16 20
Moyo 7 13 20
Mukuadianga 0 20 20
Tshilela 2 20 22
Tshimayi 8 29 37
Age of mother Less than 27 years old 15 92 107 0.36
Greater than or equal to 27 years 9 83 92
Monthly household income ˂80 USD 18 129 147 0.33
> 80 USD 16 36 52
Marital status Divorced/separated 1 0 1 0.006
Bride) 22 174 196
Widow 1 1 2
Place of residence Rural 9 133 142 0.001
Urban 15 42 57
Highest level of study achieved None 0 19 19 0.242
Primary completed 4 15 19
Primary unfinished 5 42 47
Secondary completed 3 39 42
Unfinished secondary school 12 55 67
Higher/University 0 5 5
Occupation/Profession Others 4 16 20 0.031
Driver 0 4 4
Farmer 10 91 101
Pupil/student 0 3 3
Official 4 48 52
Worker 1 0 1
Seller/merchant 5 13 18

After applying the Chi-square test, Table 6 shows that the woman’s occupation, marital status, place of residence, and the health area’s location are all statistically related to her adherence to the EBF.

Table 7.Adherence to EBF according to sociocultural factors of the mother
Socio-cultural characteristics of the mother Adherence of the EBF Total p-val
Yes No
Existence in the tribe of rules/prohibitions preventing the EBF No 21 169 190 0.045
Yes 3 6 9
Existence of reasons in the family/culture or environment that make a woman feel ashamed to breastfeed the baby in public No 19 158 177 0.1
Yes 5 17 22

Table 7 (after applying the Chi-square test) shows that the existence of rules/prohibitions in the tribe is the only socio-cultural characteristic associated with adherence to the EBF.

Table 8.Adherence to EBF according to the mother’s knowledge and attitudes
Knowledge and attitudes Adherence of the EBF Total p-value
Yes No
Information already received on exclusive breastfeeding No 4 10 14 0.049
Yes 20 165 185
Categorical weaning age Less than 6 months 23 152 175 0.2
Greater than or equal to 6 months 1 23 24
Child still breastfed
No 0 16 16 0.3
Yes 24 159 183

Table 8 suggests that adherence to the EBF statistically correlates with the knowledge already acquired.

DISCUSSION

Rate of adherence to exclusive breastfeeding (EBF) among mothers of children aged 6 to 23 months in the Dibaya Health zone

The study’s findings show that a quarter of the participants did not have enough time to breastfeed their children; of those who did, the majority cited being overly busy at work or in their field activities; nine out of ten were still breastfed; nearly nine out of ten were weaned before the age of six months; nine out of ten had taken a food other than breast milk before the age of six months; and seven out of ten breastfed their children on demand.

The WHO goal of having this rate surpass 50% of the EBF rate by 2025 is still far off. When comparing these findings to those of other studies, we observe that the rate is significantly lower than that of the MICS-RDC-2018 survey, which found 53.5% at the national level and 47.6% at the provincial level, as well as the Pronanut 2023 national nutrition survey, which reports a national EBF rate of 59.6% and 45% at the provincial level (Kasai central).5

According to Elias Bashimbe Raphaël et al. study,2 69.3% of South Kivu residents exclusively breastfed their children for up to six months. This could be explained by the fact that the study was conducted in a military camp in the South Kivu province, particularly considering the recent improvements in camp care, which also show that the rate of exclusive breastfeeding (EBF) meets the WHO’s threshold for achieving the SDGs, which state that by 2025, the rate of EBF should be above the 50% threshold.

Given that over 75% of mothers in the Dibaya health zone do not exclusively breastfeed, it is critical that all segments of the community participate in the creation of an awareness-raising program, especially for women who are childbearing. propagate the advantages of breastfeeding exclusively for the first six months of a child’s life, thereby lowering the percentage of EBF non-adherence.

Knowledge of mothers of children aged 6 to 23 months in the Dibaya health zone on the EBF

The study’s findings show that nine out of ten mothers were aware of EBF; 81.4% had learned about it from medical professionals during CPN/CPS and 63.7% from Reco; more than half of mothers had breastfed their infants exclusively for the first six months of life; 11% had given their kids a solution before their milk came in; and 12.1% of mothers had given birth to their children.

Out of the 260 women questioned in the study by F. Ben Slama,6 41.5% exclusively breastfed, and 58.5% used artificial milk either alone or in conjunction with breast milk. When it came to the guidelines for breastfeeding, the best time to stop breastfeeding, and the key foods to start introducing when diversifying infant feeding, first-time mothers’ knowledge, attitudes, and behaviors were inadequate. This may be caused, among other things, by moms’ lack of knowledge and education, as well as occasionally by the absence of the essential tactics for EBF promotion in this health zone.

Factors associated with non-adherence to exclusive breastfeeding

The type of health area the mother lived in (p=0.001), her marital status (p=0.006), her area of residence (p=0.001), her occupation (p=0.03), the presence of rules or prohibitions in the tribe that affect the EBF (p=0.049), and the mother’s knowledge of exclusive breastfeeding (p=0.045) were among the factors linked to non-adherence to the EBF.

In the systematic review by Kavle, sixteen obstacles to EBF were found, including data showing a negative correlation between maternal employment and EBF practice. Additionally, there was strong evidence found regarding the mode of delivery, indicating that caesarean sections can negatively impact the EBF, particularly during the first week. Improvements in adherence to EBF were shown when family and/or community support was present, along with EBF counselling. These findings contrast with NR Diagne-Guèye et al.,7 who discovered that socio-cultural representations caused mothers to feel the need to add additional foods, which some mothers (36%) found to be crucial to administer.

This implies that habits and customs should be considered as contributing factors to following the EBF. In the context of our research, habits and customs are crucial in combating various health issues, particularly in rural areas. Reducing infant and child mortality would be achieved by addressing this factor through awareness-raising, social and behavioural change communication, and education about the advantages of exclusive breastfeeding during the first six months of life.

Implications

In view of the results, it is necessary to train providers in the Dibaya Health Zone in the Baby-Friendly Hospital Initiative to influence breastfeeding women’s knowledge of the importance of EBF. Intensify awareness of EBF by involving community leaders, customary authorities as well as the husbands of breastfeeding women. Create income-generating activities to empower women, especially in rural areas in the Dibaya health zone. Communication for behaviour change must also focus on the age at which complementary foods are introduced. Health sector partners should finance initiatives to improve and promote EBF in this health zone to reduce child mortality due to malnutrition. The use of expressed breast milk and its storage should be considered in other future research as a viable option to help mothers maintain the breastfeeding chain and overcome barriers posed by labour.

CONCLUSIONS

In the current state of affairs, breastfeeding is still a very complex act that is the most natural and beneficial that is hard to replace. The Dibaya HZ continues to have low EBF adherence (12.1%), and the majority of mothers do not follow exclusive breastfeeding guidelines. This is concerning and needs to be addressed as a key issue. Other than breastfeeding, no other intervention has such a substantial impact on the infant’s current and long-term health. It is for this reason that exclusive breastfeeding must be strictly obligatory for any woman with a child under 6 months old.

The work of breastfeeding mothers constitutes a significant barrier to adherence to exclusive breastfeeding (EBF). Therefore, policymakers should adopt laws that will promote the practice of EBF by working mothers, such as extending maternity leave and creating laws that allow working mothers to breastfeed while they are at work.

In particular, educate mothers about the advantages of exclusive breastfeeding for the first six months of a child’s life. Changing social norms and behaviours through communication about the benefits of exclusive breastfeeding can also be a useful strategy to reduce infant and child mortality caused by noncompliance with the EBF.


Acknowledgements

To the steering committee of the Kinshasa School of Public Health and to Professor Godefroid Musema for their support throughout the process.

Funding

None

Authorship contributions

Emile Mbuyi designed the entire study, conducted the data collection, and wrote the master’s thesis, which is the basis for this manuscript. Bernard-Kennedy Nkongolo contributed to the analyses and discussion. Musema Godefroid supervised and facilitated the entire process of producing this dissertation as part of completing the Master in Public Health. She evaluated the different versions of the dissertation protocol and gave guidance on the manuscripts.

Competing interests

The authors declare no competing interests.