Abstract
Background
Non-exclusive breastfeeding is becoming a major cause of infant and child morbidity and mortality in developing countries including Ethiopia.
Objective
To assess the prevalence of non-exclusive breastfeeding and its factors in the first 6 months life of infants among mother-infant pairs of 6–12 months in Debre Tabor Town, Northwest Ethiopia, 2019.
Methods
A Community based cross-sectional study was conducted among 860 mother-infant pairs of 6–12 months in Debre Tabor Town, from March 1–30/2019. To select study participants cluster sampling technique was employed. Data were entered into EPI info version 7.2.0.1 and exported to SPSS window version 20 for analysis. Binary and multivariable logistic regression was used to see the association between dependent and independent variables. The odds' ratio with a 95% confidence interval was computed.
Results
The prevalence of non-exclusive breastfeeding of mothers to their infants within the first 6 months was found to be 39.8% (95% CI: 36.6–43.0). Mothers whose husbands had no formal education [(Adjusted odds ratio AOR = 6.60 [95%CI: 4.14, 10.41)], primary education (AOR = 4.30 [95% CI: 2.62, 7.20]), Mothers governmental employed (AOR = 8.20 [95% CI: 5.191, 12.940]), daily laborer (AOR = 1.70 [95% CI: 1.01, 2.90]), merchant mothers (AOR = 0.44 [95% CI: 0.35, 0.90]), and Mothers who had no post-natal care follow up for current baby in health service (AOR = 2.40 [95% CI: 1.56, 3.76]) were significantly associated with outcome.
Conclusion
and Recommendations: High proportion of mothers practiced Early Initiation of Complementary feeding within the first 6 months. Husbands had no formal education, primary education maternal governmental employed, daily laborer, merchant, and mothers who had no post-natal follow up where were found to be a predictors variable. Hence,; it is better to increase annual leave for delivered mothers, improve awareness of husbands towards benefits of introducing complementary feeding timely, and advise mothers to improve post-natal period follow up.
Keywords: Non-exclusive breastfeeding, Debre tabor town, Ethiopia
Non-exclusive breastfeeding, Debre tabor town, Ethiopia
1. Introduction
Non-exclusive breastfeeding (NEBF) is defined as the provision of food or fluids in addition to breast milk other than drugs, vitamins, and minerals to infants before the age of six months [1, 2]. NEBF is becoming a major cause of infant and childhood morbidity and mortality in developing countries. It is believed to be responsible for 10% of the disease burden, and 1.4 million child deaths [3]. In addition, in developing countries early and abrupt cessation of BF followed by an introduction of dirty and unsound artificial feeding of infants is a common practice that makes children more vulnerable to infection with different pathogens [4, 5].
Worldwide, only 35% of infants on proper exclusively breast feeding during the first four months of life. In most of mother specially in developing countries, Complementary Feeding (CF) usually too early or too late, which leads to nutritionally inadequate and unsafe [2, 6].
In Ethiopia, high numbers of mothers are practicing NEBF. It was 42% national as it was reported in 2016 Ethiopian Demographic and Health Survey (EDHS) [7], And ranged from 13%-60% in individual studies [2, 3, 8, 9, 10, 11].
Infants who had not been fed exclusively face future health challenges. These problems cause a decrease in the full absorption of nutrients from breast milk; predispose them to diarrhea, and acute respiratory infections. This further contributes to weight loss; malnutrition; poor academic performance; decreased productivity; impaired cognitive, and social development [3, 12, 13]. But, the above problems are preventable if promote benefits and burden of EBF, EI CF to the community, and also is implemented properly [11].
To avert the problem infants should be exclusively breastfed for the first six months of life to achieve optimal growth, development, and health as a global public health recommendation [14]. In addition,; the global nutrition target is to increase the rate of EBF in the first six months up to at least 50% by 2025. The purpose of this policy brief is to increase attention, investment, and action for a set of cost-effective interventions and policies that can help member states and their partners in improving EBF rates among infants less than six months [6].
To strengthen the effort in reducing child mortality, the Ethiopian Ministry of Health had targeted an increased proportion of exclusively breastfed infants under age 6 months 52–72% by 2019/2020 as one strategy to improve child health [15]. To achieve such a plan data related to NEBF and factors associated is necessary. However, limited studies have been conducted at the community level regarding the prevalence and associated factors of NEBF in Ethiopia; particularly in the study area. Therefore, this study has assessed the prevalence of NEBF and its factors in the first 6-months life of infants in Debre Tabor town, Northwest Ethiopia (See Figure 1: Conceptual framework).
Figure 1.
Conceptual framework of non-exclusive breastfeeding and its factors in the first 6-month life of infants among mother-infant pairs of 6–12 months in Debre Tabor town, Northwest, Ethiopia, 2019.
2. Methods
2.1. Study area and period
This study was conducted in Debre Tabor town. This is located at a distance of 666 km from the capital city of Addis Ababa in the North direction of Ethiopia. Based on the information from Debre Tabor town administrative bureau, the town has 6 urban kebeles and with an estimated total population of 84,382 with 36,285 households. Of the 19,898 in reproductive age (15–49) group. There are 11,429 under-five children in the town. Among them, infants aged less than 12 months are 2,628 and 2,068 are aged from 6 to 12 months. Debre Tabor town has one General hospital, three health centers, and six private clinics and has two health extension workers in each health center (kebele) [16]. The study was conducted from March 1st-30th, 2019.
2.2. Study design and participants characteristics
A Community-based cross-sectional quantitative study was conducted. All mother-child pairs from 6-12 months in Debre Tabor town considered as a source population and the study population was selected/sampled/mother-child pairs from 6-12 months in Debre Tabor town who fulfill the inclusion criteria. All biological mother-child pairs aged 6–12 months in Debre Tabor town were included. However, mothers who were mentally/severely ill (not able to give breast milk due to mastectomy, unable to respond, could not talk or hear due to disability), and HIV-positive mothers who choose to replacement feed were excluded from the study.
2.3. Operational definition
Non-exclusive breastfeeding is giving infants other foods or fluids in addition to the breast milk other than drugs, vitamins, and minerals to infants before the age of six months [1, 2, 17].
Good knowledge on infant feeding before 6 months: Four knowledge questions were asked, and those having scored ≥mean (2.51) by categorizing the mothers as having Good knowledge, and
Poor knowledge on infant feeding before 6 months: Four knowledge questions were asked, and those having scored less than the mean (2.51) were classified as having poor knowledge [3, 17].
Early initiation of breastfeeding: is infants breastfed within one hour of birth [14].
2.4. Sample size determination and sampling procedure
The sample size is determined using a single population proportion formula using the proportion of NEBF 47.5% in a study conducted in Gondar town [2] with 95% confidence interval and precision level of 5%.
Where n = Sample size needed
z = Standard normal variable at 95% confidence level (1.96)
p = the prevalence of NEBF in Gondar town (0.475)
d = Margin of error (0.05)
Z α/2 = Value of the standard normal distribution corresponding to a significant level of alpha (α) 0.05 which is 1. 96.
DE = Design Effect = 2 (due to cluster sampling technique was used)
Adding 10% nonresponse rates the final sample size for objective one was 844. But, 2 Kebeles were included in all samples taken, so the total sample size became 860. After calculating the sample for different factors the larger sample size for the study was 860 (See Table 1: for the second objective identify three predictors).
Table 1.
For the second objective identify three predictors, for non-exclusive breastfeeding in Debre Tabor Town, North West Ethiopia, 2019.
| Associated factors | Assumption | Final Sample size with 10% NR and Design Effect = 2 | Reference |
|---|---|---|---|
| Mother's occupation |
|
366 | [2] |
| ANC follow up |
|
492 | [10] |
| Time of initiation of BF |
|
642 | [10] |
AOR: - adjusted odds' ratio; CI: - confidence interval, NR:-Non-Response rate.
After calculating the sample for different factors I found that the sample sizes for the first objective were 860 [with 10% NR and multiplying by 2 design effect] which was greater than that of the 2nd objective; therefore the larger the sample size was considered for the study.
Cluster sampling was used to take the appropriate sample. Then two clusters were selected randomly by lottery method (See Figure 2: Schematic presentation of the sampling procedure).
Figure 2.
Schematic presentation of the sampling procedure for non-exclusive breastfeeding in the first 6-month life of infants among mother-infant pairs of 6–12 months in Debre Tabor town, Northwest, Ethiopia, 2019.
2.5. Variables of the study
2.5.1. Dependent variable
Non-exclusive breastfeeding within the first 6 months.
2.5.2. Independent variables
2.5.2.1. Sociodemographic and economic characteristics
Age of the mothers, sex of infants, age of infants, ethnicity of the mothers, sex of the infant's, family size, utilization of family planning, marital status of the mothers, religion of mothers, number of under-five children, husbands occupation, educational status mothers, mother's occupation, husbands education status, family monthly income.
2.5.2.2. Maternal obstetric and health care service related
ANC follow up, mothers counseled at ANC, delivery attendance, place of delivery of last-child, PNC follow up, mothers counseled at PNC, maternal illness during the postpartum period, the total number of children (now).
2.5.2.3. Knowledge and pattern of non-exclusive breastfeeding
Knowledge of CF time, source of information, heard information, method of feeding, type of CF, reasons of EI CF, know colostrum feeding, given colostrum, reasons discarding colostrum, EBF prevent disease, time of initiation of BF, given mashed/fluid, time to offer the child additional diet besides breast milk, and mother's knowledge on infant feeding.
2.6. Data collection tools and techniques
2.6.1. Data collection tools
Data was collected using a pretested and structured interviewer-administered questionnaire, which was adapted from WHO and published articles with some modifications to the local context [1, 2, 3, 6, 10, 14, 18]. The questionnaire was prepared in the English version and translated to the local language (Amharic which was used to collect the data). The questionnaire had thirty-seven questions and three parts: sociodemographic and economic characteristic's assessment status, maternal obstetric and health care service related assessment, and knowledge and pattern of non-exclusive breastfeeding before 6 months factors.
2.6.2. Data collection techniques
A total of four B.Sc. nurses as data collector and two B.Sc. nurses as a supervisor (who had an experience of data collection) were selected. After briefly presenting the study purpose and getting oral consent from each mother with an eligible infant, data collectors interviewed participants.
2.6.3. Data quality control
The quality of the data was assured by pretesting the questionnaire on 5% of the sample (43 mothers with an eligible infant) in woreta town prior to the start of the actual study to test the fitness of the questionnaire for the study settings. Training about the data collection tool as well as data collection procedures (ways of approaching the eligible mothers and how to obtain permission for an interview) was given to data collectors and supervisors for a total of two days prior to the data collection process.
The objectives of the study were clearly explained to the data collectors as well as supervisors. The respondents were given a brief orientation before they are interviewed and supervision was done at the spot by the supervisors. Throughout the course of the data collection, interviewers were supervised at each site, regular meetings were held between the data collectors, supervisor, and the principal investigator to discuss the problem arising in each interview, and detailed feedback was provided to the data collectors.
In addition, the collected data were checked daily for its completeness, accuracy, and clarity by supervisors. The principal investigator checked every questionnaire before data entry. Data was kept in the form of a file in a private secured place.
2.7. Data processing and analysis
After checking the completeness of the data, it was entered into EPI info version 7.2.0.1, and then; it was exported to SPSS version 20 for analysis. Descriptive analysis was done by computing proportions and summary statistics. The association between each independent variable and the outcome variable was assessed by using binary logistic regression. All variables with P ≤ 0.2 in the bivariate analysis were included in the final model of multivariable analysis in order to control all possible confounders.
Adjusted odds ratio (AOR) along with 95% CI were computed and variable havening a P-value < 0.05 was considered to declare factors that have a statistically significant association with NEBF by using multivariable analysis. The goodness of fit was tested by the Hosmer-Lemeshow statistic test. Finally, the result is presented in the form of texts, tables, and graphs.
2.8. Ethical consideration
Ethical clearance was obtained from the ethical review committee of the school of Nursing, University of Gondar, College of Medicine and Health Sciences. Then, the participants of the study were informed about the purpose of the study, the importance of their participation, and their right to withdraw at any time. Verbal informed consent was obtained prior to data collection, and then from volunteer mothers collects the data. Mothers who practice NEBF during the data collection period were advised regarding infant feeding.
3. Results
3.1. Sociodemographic and economic characteristics of the study population
A total of 860 mothers of children age between 6-12 months old were included in the study and interviewed which gave the response rate of the study 100%. The mean ages of the mothers were 31.1 years (S.D ± 5.4). Regarding their child, 527 (61.3%) were 6–9 years, and 485 (56.4%) were female. The majority of the respondents were from Amhara 843 (98.0%) in ethnicity, and 806 (93.7%) were orthodox Christian. Eight hundred fourteen (94.7%) were married. Around 551 (64.1%) of mothers had an educational level of secondary and above, while 544 (63.2%) of husbands had an educational level of secondary and above. Regarding the mother's occupational status, 264 (30.7%) were housewives, and 418 (48.6%) of their husbands were governmental employees (See Table 2).
Table 2.
Sociodemographic and economic characteristics of study participants in Debre Tabor town, North West, Ethiopia, 2019 (N = 860).
| Variable | category | Frequency | Percent (%) |
|---|---|---|---|
| Maternal age | 15–19 | 15 | 1.7 |
| 20–24 | 104 | 12.1 | |
| 25–29 | 202 | 23.5 | |
| 30–34 | 299 | 34.8 | |
| 35–39 | 193 | 22.4 | |
| 40–44 | 47 | 5.5 | |
| ≥45 | 0 | 0 | |
| Child age | 6–9 | 527 | 61.3 |
| 10–12 | 333 | 38.7 | |
| Child sex | male | 375 | 43.6 |
| female | 485 | 56.4 | |
| Child's birth order | first | 241 | 28.0 |
| second | 329 | 38.3 | |
| Third and above | 290 | 33.7 | |
| Mother's religion | Orthodox | 806 | 93.7 |
| Muslim | 48 | 5.6 | |
| Protestant | 6 | 0.7 | |
| Mother's ethnicity | Amhara | 843 | 98.0 |
| Oromo | 11 | 1.3 | |
| Tigray | 6 | 0.7 | |
| Marital status | Single | 13 | 1.5 |
| Married | 814 | 94.7 | |
| Divorced | 27 | 3.1 | |
| Widowed | 6 | 0.7 | |
| Maternal education | No Formal education | 125 | 14.5 |
| Primary education | 184 | 21.4 | |
| Secondary education and above | 551 | 64.1 | |
| Family size | <4 | 546 | 63.5 |
| ≥4 | 314 | 36.5 | |
| FP utilization | Yes | 487 | 56.6 |
| no | 373 | 43.4 | |
| Number of under-five children | 1 | 710 | 82.6 |
| ≥2 | 150 | 17.4 | |
| Husband's education | No-formal education | 169 | 19.7 |
| Primary education | 147 | 17.1 | |
| Secondary education and above | 544 | 63.2 | |
| Mother's occupation | Governmental employee | 241 | 28.0 |
| Farmer | 0 | 0 | |
| Merchant | 233 | 27.1 | |
| Daily laborer | 122 | 14.2 | |
| Housewife | 264 | 30.7 | |
| Husband's occupation | Government employee | 418 | 48.6 |
| Farmer | 0 | 0 | |
| merchant | 324 | 37.7 | |
| Daily laborer | 118 | 13.7 | |
| Family income of family | <500 ETB | 0 | 0 |
| 500-1000 ETB | 7 | 0.8 | |
| 1000-1500 ETB | 22 | 2.6 | |
| ≥1500 ETB | 831 | 96.6 |
3.2. Obstetric and healthcare-related factors of the participants
Of all study participants, mothers were 542 (63.0%) had 1-2 number of children (now). Six hundred ten (70.9%) had ANC follow-up, and nearly half of mothers 409 (67.0%) were informed about CF during their ANC. Five hundred twenty three (60.8%) delivered their last child at the governmental hospital, and 519 (60.3%) were delivered by nurses/midwifery. Six hundred forty-five (75.0%) of the mothers were attended PNC, and 408 (63.3%) mothers counseled about CF during their PNC visit. Six hundred fifteen (71.5%) mothers following the last delivery don't have illness during the postpartum period (See Table 3).
Table 3.
Obstetric and healthcare-related factors of participants in Debre Tabor Town, Northwest, Ethiopia, 2019.
| Variable | category | Frequency | Percent (%) |
|---|---|---|---|
| Number of Children | 1–2 | 542 | 63.0% |
| 3–4 | 263 | 30.6 | |
| ≥5 | 55 | 6.4 | |
| Antenatal care | yes | 610 | 70.9 |
| no | 250 | 29.1 | |
| Informed CF at ANC Visit | yes | 409 | 67.0 |
| No | 201 | 33.0 | |
| Home | 0 | 0 | |
| Place of birth For last child | Gov't Hosp. | 523 | 60.8 |
| Gov't HC | 327 | 38.0 | |
| Gov't HP | 0 | 0 | |
| Private clinic | 10 | 1.2 | |
| Doctor | 341 | 39.7 | |
| Delivery attendance For last-child | Nurse/midwife | 519 | 60.3 |
| HEW | 0 | 0 | |
| TBA | 0 | 0 | |
| Relative/friend | 0 | 0 | |
| Attended PNC | yes | 645 | 75.0 |
| no | 215 | 25.0 | |
| Counseled about CF at PNC Visit | yes | 408 | 63.3 |
| no | 237 | 36.7 | |
| Mothers had illness during postpartum period | no | 615 | 71.5 |
| yes | 245 | 28.5 |
3.3. Knowledge and pattern of non-exclusive breastfeeding
Among study participants, 628 (73%) knew colostrum feeding, 531 (84.6%) mothers gave colostrum feeding to their recent child. Among mothers who discarded colostrum, 59 (60.8%) of them responded that it was not good to feed their infants.
Four hundred thirty five (50.6%) mothers responded as they initiated BF after one hour, and 533 (62%) of mothers responded that EBF can prevent disease.
Six hundred forty two (74.7%) of participants heard information regarding CF, and the sources of information about CF, 316 (49.2%) of mothers were from health professionals.
In the appropriate time to introduce complementary food for the child, 350 (40.7%) mothers respond at 6 months, and 123 (36%) mothers offer the child an additional diet besides breast milk at 4–6 months.
The data revealed that mothers' reasons practiced NEBF, as they considered 166 (48.5%) breast milk is not enough for the baby (See Figure 3). Among the study participants, 154 (45.0%) mothers provided powder milk (See Figure 4), and in feeding utensils of mothers who practiced NEBF, 204 (59.6%) used cups and spoons.
Figure 3.
Mother's reasons to provide an additional diet for their child during the first 6 months in Debre Tabor town, Northwest, Ethiopia, 2019.
Figure 4.
Type of additional food mothers provides their child during the first 6 months in Debre Tabor town, Northwest, Ethiopia, 2019.
The overall knowledge of mothers on infant feeding before 6 months (knowledge questions which were known colostrum feeding, time to initiation of BF, to prevent disease, and appropriate time to introduce CF for the child) were calculated based on mean value by giving 0 for non-correct answers and 1 for correct answers of for all the four knowledge questions. The mean value was 2.51 by categorizing the mothers as having poor knowledge those who score less than 2.51, and good knowledge those who score of mean ≥2.51. Based on this 55.3% of mothers had good knowledge and the rest had poor knowledge on infant feeding before 6 months (See Table 4).
Table 4.
Knowledge and Pattern of non-exclusive breastfeeding-related factors of participants in Debre Tabor town, Northwest, Ethiopia, 2019.
| Variable | Category | Frequency | Percent (%) |
|---|---|---|---|
| know colostrum feeding | no | 232 | 27.0 |
| yes | 628 | 73.0 | |
| Given colostrum feeding | no | 97 | 15.4 |
| Yes | 531 | 84.6 | |
| Reason discarding colostrum | Not good for infant | 59 | 60.8 |
| Due to illness | 38 | 39.2 | |
| Time to initiation of BF | After one hour | 435 | 50.6 |
| Within one hour | 425 | 49.4 | |
| EBF prevent disease | no | 327 | 38.0 |
| Yes | 533 | 62.0 | |
| Heard information to CF | no | 218 | 25.3 |
| Yes | 642 | 74.7 | |
| Source of information to CF | Radio | 75 | 11.7 |
| Television | 133 | 20.7 | |
| CHW | 118 | 18.4 | |
| HP | 316 | 49.2 | |
| The appropriate time to introduce CF for the child | Before 6 months | 290 | 33.7 |
| At 6 months | 350 | 40.7 | |
| After 6 months | 220 | 25.6 | |
| Give mashed or fluid to child During the first 6 months | no | 518 | 60.2 |
| yes | 342 | 39.8 | |
| Offer the child an additional diet besides breast milk | Before4 months | 66 | 19.3 |
| At 4–6 months | 123 | 36.0 | |
| At 6 months | 11 | 3.2 | |
| Late after 6 | 32 | 9.4 | |
| months I don't know | 110 | 32.1 | |
| Reasons to provide additional diet | Didn't know exactly when to start | 65 | 19.0 |
| Mothers feel that their milk is not enough for their baby | 166 | 48.5 | |
| Family elders tell better to give before 6 months | 81 | 23.7 | |
| Mothers feel a child maybe able to digest it | 30 | 8.8 | |
| Additional food mothers provide | Cow's milk | 68 | 19.9 |
| Powdered milk | 154 | 45.0 | |
| Cereal based fluids | 65 | 19.0 | |
| Family food | 31 | 9.1 | |
| Water | 24 | 7.0 | |
| used to give the fluids with (utensils) | Bottle nipple | 56 | 16.4 |
| Cup and spoon | 204 | 59.6 | |
| Both bottle and Cup and spoon | 82 | 24.0 | |
| Mothers knowledge on infant feeding | Poor | 384 | 44.7 |
| Good | 476 | 55.3 |
3.4. Prevalence of non-exclusive breastfeeding
The results of the study revealed that about 342 (39.8%) (95% CI: 36.6–43.0) of Debre Tabor town mothers practiced NEBF to their infants during the first 6 months of age.
3.5. Factors associated with non-exclusive breastfeeding
In order to determine factors associated with NEBF logistic regression analysis was used. On Bivariate analysis, variables having a statistically significant association between NEBF, and p-value (P ≤ 0.2) where mother's occupational status, ANC follows up, PNC follows up, husband's educational status, husband's occupational status, mother's age, and mothers knowledge on infant feeding. However, in multivariable analysis mothers whose husbands, who had no formal education [AOR (95 % CI) = 6.60 (4.14, 10.410)], and primary education [AOR (95 % CI) = 4.30 (2.62, 7.20)], maternal occupation, governmental employed (AOR = 8.20 [95% CI: 5.191, 12.940]), and daily laborer (AOR = 1.70 [95% CI: 1.01, 2.90]), merchant (AOR = 0.44 [95% CI: 0.35, 0.90]) and mothers who had no PNC follow up for their current child in health service (AOR = 2.40 [95% CI: 1.56, 3.76]) were remained significantly associated with the outcome variable with at 95% CI and P-value of <0.05 (See Table 5).
Table 5.
Factors associated with non-exclusive breastfeeding before 6 months, in Debre Tabor town, Northwest Ethiopia, 2019.
| Variable | category | NEBF within6 months |
COR (95% CI) | AOR (95% CI) | p-v | |
|---|---|---|---|---|---|---|
| Yes n (%) | No n (%) | |||||
| Husband's education | No-formal education | 98(58.0) | 71(42.0) | 3.12(2.18,4.45) | 6.6(4.14, 10.41) | .000 |
| Primary education | 77(52.4) | 70(47.6) | 2.48(1.71,3.60) | 4.3(2.62, 7.20) | .000 | |
| Secondary education and above | 167(30.7) | 377(69.3) | 1 | 1 | ||
| Mother's occupation | Gov'tal employee | 150(62.2) | 91(37.8) | 4.15(2.90,6.03) | 8.20(5.19,12.94) | .000 |
| Merchant | 61(26.2) | 172(73.8) | 0.89(0.60,1.33) | 0.44(.35, .90) | .017 | |
| Daily laborer | 56(46.0) | 66(54.0) | 2.14(1.37,3.34) | 1.70(1.01,2.90) | .045 | |
| Housewife | 75(28.4) | 189(71.6) | 1 | 1 | ||
| Husband's occupation | Gov'tal employee | 151 (36.1) | 267 (63.9) | 0.743 (0.49,1.13) | ||
| Merchant | 140 (43.2) | 184 (56.8) | 1,000 (.65,1.53) | |||
| Daily laborer | 51 (43.2) | 67 (56.8) | 1 | |||
| ANC Follow up | no | 134 (53.6) | 116 (46.4) | 2.23 (1.65, 3.01) | ||
| yes | 208 (34.1) | 402 (65.9) | 1 | |||
| PNC Follow up | no | 132(61.4) | 83(38.6) | 3.29(2.39,4.54) | 2.4(1.56, 3.76) | .000 |
| Yes | 210(32.6) | 435(67.4) | 1 | 1 | ||
| Mother's age | 15–19 | 5 (33.3) | 10 (66.7) | 0.88 (0.26,3.01) | ||
| 20–24 | 38 (36.5) | 66 (63.5) | 1.0 (0.50,2.08) | |||
| 25–29 | 70 (34.7) | 132 (65.3) | 0.94 (0.48,1.81) | |||
| 30–34 | 119 (39.8) | 180 (60.2) | 1.17 (0.62,2.20) | |||
| 35–39 | 93 (48.2) | 100 (51.8) | 1.64 (0.85,3.20) | |||
| 40–44 | 17 (36.2) | 30 (63.8) | 1 | |||
| Mother knowledge on infant feeding | Poor | 163 (42.4) | 221 (57.6) | 1.2 (0.93,1.61) | ||
| good | 179 (37.6) | 297 (62.4) | 1 | |||
Reference = 1.00, COR = Crude 0dds Ratio, AOR = Adjusted Odds Ratio, PV = P-Value.
4. Discussion
This study showed that 39.8% (95% CI: 36.6–43.0) of mothers in Debre Tabor town practiced NEBF for their infants within the first six months of age. This finding was in line with A study conducted in Jimma Arjo (42.9%) [8], Research conducted in Maharashtra, India (42.7%) [19], And A study in Pokhara, Nepal (40.3%) [20].
However, the result of this study was much lower than the study done in Gondar town, Northwest, Ethiopia (47.5%) [2]. The possible explanation for the difference could be the study setting done in Gondar was both urban and rural areas. A study report in Sorro District, Southern Ethiopia (49.4%) [10]. A study conducted at Kamba Woreda, South West Ethiopia (59.6%) [11]. Another study was done in Jimma Arjo Woreda, Southwest Ethiopia (52.1%) [21]. All the above studies the possible justification for the difference could be studies setting which was done only in rural areas.
Also, this study was much lower than the study done in Saudi Arabia (62.5%) [22]. The study conducted in machakos district, Kenya (52%) [12]. A study at Iranshahr, Iran (76.9%) [4]. The result from a study of Peninsular, Malaysia (45.8%) [23].
The possible explanation for the highest prevalence in (Saudi Arabia, Kenya, Iran, Malaysia) could be the study design used, which were institutional-based cross-sectional, among mothers who were admitted for mildly wasted infants which may increase the use of additional diet; and the majority of respondents believed that an appropriate time for introducing complementary foods was between four and six months.
This result was higher than compared with other similar studies such as on research done at kersa woreda, east Ethiopia (28.3%) [3]. The possible justification for the difference could be in kersa woreda study population selected from 6-23 months which were recall bias affect under/over the result. A study conducted in Bishoftu town, Oromia, Ethiopia (32.9%) [9]. The possible explanation for the difference might be in Bishoftu study population of selected mothers with infants aged less than six months who were attending public health facilities for pentavalent three immunizations. Might be decreased the prevalence because study subjects selected at 14 weeks. And higher than research done in Hula district, Southern Ethiopia (13.4%) [18]. The possible justification for the difference might be due to mothers had higher knowledge of exclusive breastfeeding practice (96.2%) in the Hula district and there was an NGO that was working on a program called ‘alive and thrives’ and highly promoting the optimal breastfeeding practice.
This study also much higher than a study done in Darjeeling, West Bengal (India) (30.3%) [24]. The possible explanation for the difference could be in the India study population selected from 6-24 months which were recall bias affect under/over the result. A study conducted in Thailand (26.4%) [25]. A study was done in Australia (27%) [26]. The possible justification for the difference could be in Thailand study population selected at 12 weeks of postpartum women who attended the clinic and in Australia reported by age of 4 months.
This study showed that the husband's educational status had a significant role on NEBF within the first 6 months. Those mothers whose husbands had no formal education [AOR (95 % CI) = 6.6 0 (4.14, 10.410)], and primary education [AOR (95 % CI) = 4.30 (2.62, 7.20)] were significantly associated factors for NEBF. This finding was supported by the study done in Northwest Ethiopia which revealed that the husband's educational level of no formal education was 1.15 times, and primary education 3.26 times more likely to practice pre-lacteal feeding than those who had secondary education and above [27]. A study done at Arba Minch Zuria's husband educational level which were no education (AOR = 2.92) and able to reading and writing (AOR = 3.08) were significant association with mothers' had no knowledge of optimal BF [28]. The possible Explanation that husbands who had secondary and above educational level might have a better understanding of the benefits of introducing CF timely, identification of the effects of NEBF before 6 months, and empowers them to defend against external interferences and pressures from traditional belief and misconception.
The maternal occupation was found to be one of those significantly associated factors of NEBF for infants during the first 6 months of age. In this study, maternal occupation, the odds of NEBF were 8.2 times higher in governmental employed (AOR = 8.20 [95% CI: 5.191, 12.940]), and 1.7 times higher in daily laborer (AOR = 1.70 [95% CI: 1.01, 2.90]) than housewife mothers. The odds of NEBF were 56% lower than in merchant mothers compared to mothers with housewives (AOR = 0.44 [95% CI: 0.35, 0.90]).
This finding was consistent with the studies done in Gondar town, being governmental employed (AOR = 2.55), and Kamba woreda, South West Ethiopia, daily laborer (AOR = 3.06) were more likely to practice NEBF compared to housewife. And maternal occupation which was a merchant (AOR = 0.84) consistent with the studies done in Gondar town less likely to practice NEBF to their infants before 6 months. However, a study was done in Kamba woreda, South West, Ethiopia being governmental employed (AOR = 0.44) were less likely to practice NEBF which was inconsistent with this study [2, 11]. In Bishoftu town, Oromia, Ethiopia, the odds of housewife mothers had 64% lower risk to EI CF than employed mothers with [AOR 0.34 (95% CI; 0.21, 0.55)] [9].
The study was done in Saudi Arabia consistent with this study, employed (AOR = 6.39) more likely to practice EI CF before 6 months compared to not employed [22]. And a study done in Indonesia working mothers (AOR = 1.45) was a significant association with NEBF compared to non-working mothers [29]. In a study done in Peninsular Malaysia, mothers who have a job were 3.5 times more likely not to exclusively breastfeed compared to non-working mothers [23]. The possible explanation for this association government employed and daily laborer mothers believe the child is exposed to hunger and water thrust due to lack of time to breastfeed frequently. So, that they start to initiate early feeding of their child solid and semi-solid food; but this might be due to the fact that housewife mothers get to stay longer with their newborn and would not be obliged like mothers who are working to wean early to go to work, so, they may also breastfeed their newborn.
Mothers who had no PNC follow-up for their current child in health service (AOR = 2.40 [95% CI: 1.56, 3.76]) were significantly associated factors for NEBF. This finding was in agreement with a study done by Sorro district, Southern Ethiopia, no PNC visit after delivery (AOR = 1.90) was significantly associated with NEBF [10]. In a study conducted in Kamba woreda, South West Ethiopia, mothers who have no PNC follow up for their child in health service (AOR = 1.64) were significantly associated factors for EI CF [11]. The possible explanation could be mothers who get advice to improve post-natal period visit has a favorable impact on the promotion of timely initiation of CF.
5. Strengths and limitations
5.1. Strengths
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The study has used a relatively larger sample size.
5.2. Limitations
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NEBF practice of mother may under/over report because mothers may not surely remember foods that child took due to recall bias.
6. Conclusion and recommendations
High proportion of mothers practiced early initiation of complementary feeding within the first 6 months. Husbands had no formal education, primary education maternal governmental employed, daily laborer, merchant, and mothers who had no post-natal follow up were found to be a predictors variable. Hence; it is better to increase annual leave for delivered mothers, improve awareness of husbands towards benefits of introducing complementary feeding timely, and advise mothers to improve post-natal period follow up.
Declarations
Author contribution statement
Dejen Getanh Feleke and Ermiase Sisay Chanie: Conceived and designed the experiments; Performed the experiments; Analyzed and interpreted the data; Wrote the paper.
Chanyalew Worku Kassahun, Tesfamichael G/Mariam W/mariam and Sheganew Fetene Tassaw: Contributed reagents, materials, analysis tools or data; Wrote the paper.
Funding statement
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Data availability statement
Data will be made available on request.
Declaration of interests statement
The authors declare no conflict of interest.
Additional information
No additional information is available for this paper.
Acknowledgements
The author acknowledged data collectors, and supervisors. The author is also deeply acknowledging Debre Tabor University. Last but not least, the respondents deserve sincere thanks for their kind responses.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data will be made available on request.




