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PLOS One logoLink to PLOS One
. 2022 Oct 26;17(10):e0275208. doi: 10.1371/journal.pone.0275208

The uptake of key Essential Nutrition Action (ENA) messages and its predictors among mothers of children aged 6–24 months in Southern Ethiopia, 2021: A community-based crossectional study

Aklilu Habte 1,*, Addisalem Gizachew 1, Tekle Ejajo 1, Fitsum Endale 1
Editor: Saqlain Raza2
PMCID: PMC9604956  PMID: 36288396

Abstract

Background

Essential nutrition action(ENA) is a framework for managing advocacy, establishing a foundation, and implementing a comprehensive package of preventive nutritional activities. Essential Nutrition Actions study studies provide current information on each nutrition action, allowing health systems to focus more on nutrition, which is critical in tackling the "double burden" of malnutrition: underweight and overweight. Hence, this study aimed at assessing the level of ENA practice and its predictors among mothers of children aged 6 to 24 months in southern Ethiopia.

Methods

A community-based cross-sectional study was conducted from May 1 to 30, 2021 among randomly selected 633 mothers of children aged 6–24 months. A multi-stage sampling technique was used to access study participants. Data were collected by using a pretested, structured interviewer-administered questionnaire. To identify predictors of ENA practice, bivariable and multivariable logistic regression were used. The strength of the association was measured using an adjusted odds ratio with 95 percent confidence intervals. The statistical significance was declared at a p-value less than 0.05.

Results

A total of 624 participants took part in the study, with a response rate of 98.6%. The uptake of key ENA messages among mothers was measured using 27 items, and it was found to be 47.4% (95% CI: 43.8, 51.4). Complementary feeding was the commonest ENA message practiced by 66.7% of respondents, while prevention of iodine deficiency disorder was practiced by only 33.7% of respondents. Variables namely, mother’s education level of college and above [AOR: 3.90, 95% CI: 1.79, 8.51], institutional delivery [AOR: 2.75, 95% CI: 1.17,6.49], having PNC service [AOR: 2.95, 95% CI: 1.91, 4.57], being knowledgeable on ENA message [AOR: 2.37, 95% CI: 1.81, 3.26] and being a model household [AOR: 3.83,95% CI: 2.58, 5.69] were positively associated with a good uptake of key ENA messages. On the other hand, primiparity [AOR: 0.32, 95% CI: 0.21,0.56] was identified as a negative predictor.

Conclusion

The overall practice of key Essential nutrition action messages in the study area was low as compared to studies. Stakeholders must step up their efforts to improve and hasten the utilization of maternal and child health services, especially institutional delivery and Postnatal care by focusing on uneducated women to promote compliance to key ENA messages. Furthermore, health workers need to focus on awareness-raising and model household creation.

Introduction

At various phases of life, improving women’s and children’s nutrition necessitates a variety of activities, programs, and strategies [1]. The right to health is deeply rooted in good nutrition, which is enshrined in Article 25 of the Universal Declaration of Human Rights [2, 3]. Appropriate nutrition throughout the first 1,000 days (from the start of a mother’s pregnancy to her child’s second birthday) can have a significant impact on a child’s capacity to grow, learn, and climb out of poverty [46]. Children who get the right diet during this crucial period are 10 times more likely to overcome life-threatening childhood diseases and have their own healthy families [7].

Essential nutrition action (ENA) is a framework for advocacy, foundation, and implementation of a comprehensive set of preventive nutritional interventions. The framework addresses seven key areas, covering appropriate child feeding, nutrition during pregnancy and lactation, and micronutrient supplementation [1, 8]. Those key messages can help us create a world where children are free of all forms of malnutrition, and they are delivered to women and children through various channels [1]. It is vital to break the intergenerational malnutrition cycle by implementing the seven key nutrition practices of the ENA framework within the first 1000 days [9]. However, more than half of the world’s children are denied access to such life-saving interventions [7].

According to large-scale data, maternal and child malnutrition is the cause of 45 percent of under-five deaths [10]. In addition, it raises the risk of low birth weight, death, illness, infection, and delayed physical and cognitive development in undernourished children [1, 11]. Stunting has a long-term effect, and there is little room for catch-up development [12]. When considered on a national basis, these inequalities produced by stunting can result in lower school outcomes, and years on average in school, and harm a country’s development and growth [13, 14].

According to the 2016 Ethiopia Demographic Health Survey (EDHS), 38 percent of children under the age of five are stunted, with 18 percent severely stunted [15]. Even though the Ethiopian government developed and implemented the Infant and Young Child Feeding (IYCF) Guideline at the national level, the practice keeps falling close to the WHO standard [16], with only 58% of infants being exclusively breastfed and only 7% of children receiving good possible complementary feeding. Even this, 9% of children under the age of six months use a feeding bottle [15]. Ethiopia has the highest rate of micronutrient deficiency among African countries, with 39.9% of children receiving inadequate iodine [17]. Only 23.3% of household units consume appropriate iodized salt [18]. Anemia affects one out of every six Ethiopian women of reproductive age (17%) [19, 20]. Furthermore, in Ethiopia, a nationwide prevalence of subclinical vitamin A deficiency was found to be 33.9% in children aged 6 to 24 months [21].

Adequate implementation of seven key nutrition action messages can reduce undernutrition-related morbidity and mortality by nearly a quarter(25%) [7]. Inadequate IYCF interventions increase the risk of illness and mortality for infants and children by up to five times [22]. When pregnant women are given a well-adjusted diet, the likelihood of having children of small gestational age (SGA) drops by about 31% [23, 24]. To reduce death rates over the next five years, the WHO has set a goal of reducing anemia in women of reproductive age by 50% and reducing low birth rates by 30% by providing adequate nutrition throughout pregnancy [1, 7]. WHO is motivating healthcare providers to ensure that appropriate nutrition is provided at each stage of a human’s life after the release of a new report, and this transformed investment in nutrition might save 3.7 million lives by 2025 [1].

Essential Nutrition Actions study reports provide current information on each nutrition action, allowing health systems to focus more on nutrition, which is critical in tackling the "double burden" of malnutrition: underweight and overweight. In addition, it will allow countries to include nutrition interventions in their national health and development strategies [15, 25]. Although the Ethiopian Federal Ministry of Health approved the ENA program as a child survival strategy, the level of practice and its predictors have not been thoroughly investigated, except for a single study conducted in northern Ethiopia [26]. Almost all of the studies focused solely on individual components, especially on Exclusive Breastfeeding and complementary feeding, which may not provide a comprehensive picture of ENA implementation. Knowing the overall practice of key ENA messages in the community is important for addressing malnutrition by identifying and intervening on components with low practice. Hence this study aimed at assessing the overall uptake of key ENA messages among mothers of children aged 6–24 months in the Lemo Distic in southern Ethiopia.

Materials and methods

Study area, design, and period

A community-based cross-sectional study was conducted in the Lemo District from May 1 to 30, 2021. The district is located 232 kilometers from Addis Ababa, Ethiopia’s capital city, and 15 kilometers from Hossana, the Hadiya zone’s capital. The total population in the district, based on the 2007 Central Statistics Agency estimation, is 118,594 (Male = 58,666 and Female = 59,928). There are a total of 35 kebeles in the district, (Kebele: the smallest administrative unit in the current Ethiopian government structure under the district). The primary health care units offering maternal and child health services were five health centers, one non-profitable non-governmental clinic, and 35 health posts (one in each kebele).

Populations of the study

The source populations were all mothers of children aged 6 to 24 months in the Lemo district. Mothers with children aged 6–24 months in the selected kebeles of the district constituted the study population. Mothers who resided in the study area for at least six months were included, whereas those who were extremely ill during the data collection period were excluded.

Sample size determination

The study sample size for the study was determined by using the single population proportion formula via the StatCalc menu of Epi-info version 7. The following parameters were used: estimated prevalence of ENA of 46.5%, taken from a similar study conducted in northern Ethiopia [26], a 95% confidence interval, 5 percent degree of precision, design effect of 1.5, and non-response rate of 10%. The final sample size for the study was 633.

Sampling procedures

A multi-stage sampling procedure was used to access study participants. Of 35 kebeles, fourteen were selected using a simple random sampling technique. Using the registration logbook of health extension workers, households with mothers of children aged 6–24 months were identified. Codes/numbers were then assigned to those houses that had eligible study participants, and a sampling frame was formed. The required sample size for each kebele was allocated by using a proportional allocation. By using a computer-generated random number study participants were selected and interviewed. Re-visits were made three times if selected respondents were difficult to access at the time of the survey.

Data collection tools, methods, and personnel

A pretested, interviewer-administered questionnaire was used for the data collection. Eight diploma nurses with prior data collection experience conduct the data collection under the supervision of four public health officers. The data collection tool was developed by using the 2013 WHO Guideline for Essential Nutrition Actions, Enhancing Health and Nutrition for Maternal, Baby, Infant, and Young Children, Food and Agriculture Organization (FAO), and related literature [1, 7, 26, 27]. It was designed in the way to collect data on socio-demographic/economic, obstetric, and health system-related characteristics, exclusive breastfeeding, complementary feeding, sick child feeding, nutrition during pregnancy and lactation, vitamin A deficiency prevention, anemia prevention, and iodine deficiency prevention. Supervisors and data collectors were guided to sampling women’s homes by the local Health Development Army (HDA) and community volunteers in each Kebele, and the respondents were then interviewed at their residential homes.

Data quality management

Data collectors and supervisors got a one-day intensive training on data collection methods and procedures. The data collection tool was prepared in English, then translated into the local language (Amharic) by experts in that language, and finally back-translated to English to ensure that it fit the original meaning. A pre-test was conducted in the Soro district one week before the actual data collection for 5% of the sample size (29 women). To avoid any confusion, all necessary modifications were made based on the pre-test results. Supervisors and investigators closely oversaw the data collection processes daily to ensure the quality of the data. Investigators checked for missing values, inconsistencies, and outliers, and the possible corrections were made during the data collection period. Study participants were interviewed in private to reduce social desirability bias. To minimize the likelihood of recall bias respondents were given as much time as they needed for a good recall of long-term memories. In addition, inquiries were made, following an ordered sequence of events—starting with the present and thinking back to a point in time to cope with the recall bias.

Data analysis

Epi-data version 3.1 was used to enter the data, which was then exported to SPSS version 23.0 for analysis. Inconsistencies and missing values were examined using running frequencies. Frequency distributions, mean, and standard deviation have all been computed as descriptive statistics. The wealth status of households was determined using principal component analysis (PCA). Initially, 29 items were used and categorized into six categories: household property, livestock ownership, crop production in quintals, average monthly estimated income, agricultural land in hectares, and housing conditions [15]. PCA assumptions for sampling adequacy of individual variables were confirmed, including overall sampling adequacy calculation (KMO>0.6), anti-image correlations (> 0.4), and Bartlett Sphericity Test (p-value 0.05). Finally, three components were selected from the PCA, and the first component accounting for the maximum variation (48.9%) was used to classify the study participants’ wealth status into quintiles [15].

To examine the relationship between outcome and explanatory variables, bivariable and multivariable logistic regression were conducted. Explanatory variables with a p-value <0.25 in the bivariable analysis were simultaneously moved into a multivariable logistic regression model to control for potential confounders. Those variables with a p-value< 0.05 in the final model were identified as determinants of ENA practice. Finally, the regression analysis findings have been reported using their adjusted odds ratios and the corresponding 95% confidence interval. Reports were presented in the form of charts, graphs, and figures. The statistical significance was declared at a p-value less than 0.05. The model fitness was assessed by using Hosmer and Lemeshow test, and the P-value was 0.521, indicating that the model provided the best fit. The level of multicollinearity was also examined using standard error cut-off two, but no multicollinearity was found among the variables studied.

Definition and operationalization of variables of the study

Dependent variable

Essential Nutrition Action (ENA): is an integrated preventive nutrition package comprising seven core components namely; exclusive breastfeeding, complementary feeding, sick children feeding, nutrition for women during pregnancy and breastfeeding, vitamin A deficiency prevention, anemia prevention, and iodine deficiency prevention [5, 7, 28]. A total of 27 items were used to assess ENA practice: exclusive breastfeeding(6 items), complementary feeding(5 items), sick child feeding(4 items), nutrition for women during pregnancy and breastfeeding(3 items), prevention of vitamin A deficiency(3 items), prevention of anemia(3 items), and prevention of iodine deficiency(3 items) [1, 7, 26, 27]. Information on these items was derived from the response to the questions like: ‘Did you give sugar water, water, or butter, before breast during the first days of the baby’s life?’ For each practice assessment question, response categories were formed as ’1 = for correct response’ and ’0 = for incorrect’. A composite index of ENA practice was computed, with the lowest value of zero indicating that women did not practice any ENAs and the highest value of 27 indicating that those women practiced all ENAs. Those who scored at or above the mean were considered to have a good practice, while those who scored below the mean were considered to have poor practice [26].

Exclusive breastfeeding: If a child under the age of six months consumes only breast milk and no other food, water, or other liquids (except medicines and vitamins, if necessary) [11, 26].

Complementary feeding: introduction of additional solid or semi-solid foods starting at 6 months, along with breast milk [7, 29].

Explanatory variables

Household wealth index: Based on data from household assets and equipment, PCA was used to create a composite measure of respondents’ wealth status. Finally, the first factor, which explained the maximum variation, was divided into quintiles [15].

Knowledge of ENA: Women who attained at least the mean score for the ENA knowledge assessment questions were labeled as knowledgeable, while those who did not were labeled as not knowledgeable [26].

Perceived distance to the nearest health facility: The distance between the mothers’ residential home and the health facilities was measured in walking hours. This was categorized as ’closer’ if mothers reported walking times of less than 30 minutes to reach the nearest health facility; otherwise, it was categorized as ’far’ [30].

Being a model household (MHH): Those who have completed 75% of the four components of the health extension packages (HEPs) and have been certified [31]. These HEPs include family health (Maternal and Child Health), Infectious disease prevention and control (TB, HIV/AIDS, STIs, and Malaria), hygiene and environmental sanitation, and health education and communication [32].

Autonomy in household decision-making: A woman was said to be autonomous in decision-making if she made decisions independently or in collaboration with her husband. She was termed non-autonomous if she didn’t make the decision herself or with the will of a third party [15, 25].

Ethical approval and consent to participate

Ethical clearance was obtained from the Ethical Review Committee of Wachemo University School of Public Health, College of Medicine and Health Science with Rference number of WCU/121/2013. Before the study, all subjects provided their written informed consent. Before the study, informed written consent was taken from the study participants. The Lemo District Health Office also gave an official letter of cooperation. For those respondents under the age of 18 years, assent was obtained from their parents or guardian using standard disclosure procedures. The names of the respondents were kept confidential.

Results

Socio-demographic characteristics of respondents

Six hundred and twenty-four mothers took part in the study, with a response rate of 98.6%. The mean (±SD) age of mothers was 28.4(±5.3) years, and 182(29.3%) of them were between the age groups 20 and 24 years. In terms of education level, 230 (36.7%) of respondents had never had a formal education, and nearly a quarter, 149 (23.9%), had only completed primary school. Nearly two-thirds of the respondents, 407 (65.2%), were protestant by religion. In terms of their family size, nearly three quarters, 460(73.7%) had a maximum of 5 family members (Table 1).

Table 1. Socio-demographic characteristics of mothers of children aged 6–24 months old in Lemo District, Southern Ethiopia, 2021.

Variables Categories Count Percent
Age (n = 624)
<20 21 3.5
20–24 183 29.3
25–29 165 26.4
30–34 160 25.6
35+ 95 15.2
Marital status (n = 624)
Married 562 90.1
Divorced 21 3.4
Widowed 13 2.1
Single/never married 28 4.4
Ethnicity (n = 624)
Guraghe 595 95.4
Amhara 19 3.0
Others* 10 1.6
Religion(n = 624)
Protestant 407 65.2
Orthodox 105 16.8
Muslim 99 15.9
Catholic 13 2.1
Wealth index (n = 624)
Lowest 124 19.9
Second 128 20.5
Middle 122 19.6
Fourth 123 19.7
Highest 127 20.4
Age of the child (n = 624)
6–12 months 249 39.9
13–18 months 272 43.6
19–23 months 103 16.5
Mother’s education level (n = 624)
No formal education 230 36.9
Can read and write 110 17.6
Primary education 149 23.9
Secondary education 85 13.6
College and above 50 8.0
Mother’s Occupation(n = 624)
Housewife 284 45.5
Unemployed 179 28.7
Private business work 119 19.1
Government employer 42 6.7
Husband’s educational level (n = 589)
No formal education 129 21.9
Can read and write 164 27.8
Primary education 169 28.7
Secondary education 78 13.1
College and above 50 8.5
Family size (n = 624)
≤5 460 73.7
≥5 164 26.3
Husband’s occupation (n = 589)
Private business work 185 31.4
Farmer 326 55.3
Government employer 44 7.5
Daily laborer 34 5.8
Sex of the child(n = 624)
Male 270 43.3
Female 354 57.7

Maternal and child health service-related characteristics

Nearly half, 293(47.0%) of the mothers were multiparous. Five hundred fifty-six (89.1%) mothers received at least one ANC follow-up during their last pregnancy. Of those mothers who got ANC, 263 (47.3%) received four or more visits. More than two-thirds, 426 (68.3%) of respondents received postnatal care within the first six weeks of delivery. regarding the place of delivery, 573 (91.8%) mothers had their last child at the health facility. 439(70.4%) respondents were autonomous in decision-making (Table 2).

Table 2. Maternal and child health service utilization patterns of mothers of children aged 6–24 months old in Lemo District, Southern Ethiopia, 2021.

Variables Category Frequency Percent
Parity (n = 624)
Primiparous 125 20.0
Multiparous 293 47.0
Grand multiparous 206 33.0
Planning status of last pregnancy (n = 624)
Planned 454 72.8
Mistimed 108 17.3
Unwanted 62 9.9
Frequency of ANC visits(n = 624)
No 68 10.9
1 visit 69 11.1
2–3 Visits 224 35.9
≥4 visits 263 42.1
Place of delivery (n = 624)
Health center 427 68.4
Hospital 146 23.4
Home 51 8.2
Mode of delivery (n = 624)
SVD 528 84.6
Instrumental delivery 62 9.9
Caesarean delivery 34 5.5
Having PNC visit (n = 624)
Yes 426 68.3
No 198 31.7
Time spent to reach nearby health facility (n = 624)
≤30min 193 30.9
>30min 431 69.1
Means of transportation(n = 624)
On foot 452 72.4
By Bajaj/Taxi 172 27.6
Being a model household(n = 624)
Yes 325 52.1
No 299 47.9
Autonomy in decision making (n = 624)
Autonomous 439 70.4
Non-autonomous 185 29.6

Knowledge of respondents on key ENA messages

According to a composite knowledge measure for key ENA messages, more than half, 336(53.8%) of the mothers were knowledgeable. Regarding the individual item, 63.4% and 58.1% of respondents knew about exclusive breastfeeding and complementary feeding, respectively. Prevention mechanisms for iodine deficiency were known by a relatively smaller proportion of respondents (36.6%) (Fig 1).

Fig 1. Knowledge of mothers towards key ENA messages in Lemo District, Southern Ethiopia, 2021.

Fig 1

Exclusive breastfeeding (EBF) practice

Almost all mothers, 622(99.7%) breastfed their children. More than three-quarters, 484(77.8%) of mothers practiced exclusive breastfeeding for the first six months, and more than half, 328(52.7%) began breastfeeding within one hour of delivery. Pre-lacteal feeding was practiced by 128(20.6%) respondents, with which butter was the commonest pre-lacteal food by 68 (53.1%) mothers (Table 3).

Table 3. Exclusive breastfeeding practice among mothers of children aged 6–24 months of age in Lemo District, Southern Ethiopia, 2021.
Practice assessment variables Frequency (%)
Have you ever breastfed your child? (n = 624)
Yes 622(99.7)
No 2(0.3)
How long do you give exclusively breast milk (n = 622)?
Less than six month 63(10.1)
Six month 484(77.8)
More than six months 75(12.1)
Breastfeeding initiation time (n = 622)
Immediately after birth (within 1 Hr) 328(52.7)
Hours after birth 131(21.1)
Days after birth 85(13.7)
I don’t remember 78(12.5)
On the first day of the baby’s life, pre-lacteal feeding was provided(n = 622)
Yes 38(6.1)
No 584(93.9)
Pre-lacteal feeding items(n = 128)
Sugar water 38(29.7)
Water 43(33.6)
Butter 68(53.1)
Squeeze out the first milk (colostrum) and throw it away (n = 622)
Yes 135(21.7)
No 487(78.3)
In the first six months, the child took something from a bottle other than breast milk (n = 624)
Yes 139(22.3)
No 483(77.6)
Breastfeeding frequency per day? (n = 624)
10 times and more 254(40.7)
less than 10 times 270(43.3)
I don’t remember 100(16.0)

Complementary feeding practice

Four hundred forty-seven (70.7%) mothers, began complementary feeding for their infants at the end of six months. Over a fifth of respondents (20.7%) started complementary feeding before the sixth month, and just a small percentage, 54(8.6%) started after the sixth month. In terms of minimum meal frequency, 320 (51.3%) of mothers fed their children supplementary foods at least three times a day, whereas 304 (48.7%) fed their children complementary foods as needed. Two hundred and eighty mothers (44.9%) used a variety of food products when preparing supplemental foods (i.e. animal-source foods, pulses and nuts, fruits, and vegetables rich in vitamin A). Almost three-quarters of respondents (73.8%) used at least one method to ensure the safety of complementary foods. The most common safety measure taken was proper handwashing before preparing and eating food (162,35.1%), followed by keeping the cleanliness of food preparation and serving utensils,115(24.9%), and healthy storage and immediate serving of meals after preparation, 149(32.3%). The use of clean cups and bowls, 90(19.5%), and avoiding the use of difficult-to-keep-hygienic feeding bottles 63(10.1%) were not widely implemented safety precautions among mothers.

The practice of feeding a child during and after illness

One hundred Ninety-one(30.6%) mothers reported their child had been sick in the past 14 days. 115 (60.2%), 93 (48.5%), and 102 (53.4%) mothers of sick children had provided more than the usual amount of breastfeeding, food, and fluid, respectively(Fig 2).

Fig 2. The practice of mothers on feeding sick children during and after an illness in Lemo District, Southern Ethiopia, 2021.

Fig 2

Mother’s practice on nutrition during pregnancy and lactation

Only 243 (38.9%) mothers acquired a variety of foods for the period of pregnancy and breastfeeding, especially animal products, fruits, and vegetables, and nearly six out of ten (357, 57.2%) mothers consumed one additional meal (snack) per day (Table 4).

Table 4. Pattern nutrition during pregnancy and lactation among mothers of children aged 6–24 months in Lemo District, Southern Ethiopia, 2021.
Assessment of Dietary Practice during pregnancy and lactation Frequency (%)
Eats one additional meal every day during pregnancy and lactation (n = 624)
yes 357(57.2)
no 267(42.8)
Most typical meal patterns during Pregnancy and/or lactation in 24hr
Breakfast- lunch- dinner 267(42.8)
Breakfast-snack–lunch- dinner 175(28.0)
Breakfast- lunch-snack- dinner 121(19.4)
Breakfast-snack- lunch-snack-dinner 61(9.8)
Dietary diversity during pregnancy and lactation(n = 624)
Did you eat a variety of foods, particularly animal products (meat, milk, eggs, etc.), plus fruits & vegetables during pregnancy and lactation? 243(38.9)
A starchy food(millet, maize, rice, wheat, or Teff, Oats, Carrots, or sweet potatoes that are yellow or orange inside) 377(60.4)
Dark green leafy vegetables (Such as kale, cabbage. . .) 429(68.8)
Fruits & Vegetables (pumpkin, any ripe mangoes, ripe papayas, lemon, orange, banana. . .) 142(22.7)
Organ meat (liver, kidney, heart, or other organ meats) 111(17.7)
Legumes, nuts, and seeds (Dried beans, dried peas, lentils, nuts, seeds) 324(51.9)
Milk and milk products (cheese, yogurt, milk, or other milk products) 101(16.2)
Meat and fish (like beef, lamb, goat, chicken, and fish or other blood-based foods) 83(13.3)

The practice of vitamin A deficiency prevention by mothers (VAD)

Over three-fifths of mothers (60.9%) did not receive Vitamin A supplements within 45 days of delivery. Only 228 (36.5%) of children received vitamin A supplementation twice a year. More than half, 339(54.3%) have eaten vitamin A-rich foods as part of their meal in the last 24 hours. Green vegetables accounted for the most food item consumed(29.2%), followed by fruits 79(12.7%), and animal products 59(9.4%).

Mothers’ practice of preventing iron deficiency anemia (IDA)

Four hundred thirty-nine (70.4%) and 221(35.4%) mothers obtained iron-folic acid during their recent pregnancy and lactation respectively. During the last pregnancy, only one-third of women (32.9%) mothers received food items rich in iron (meat, liver, kidney, and heart) and animal products a minimum once a day. Concerning deworming, Just 287(45.9%) and 134(21.4%) of respondents received anti-helminths during pregnancy and lactation, respectively.

The practice of respondents on the prevention of iodine deficiency disorders (IDDs)

More than half, 368(59.1%) of respondents had Iodized salt in their homes. Regarding the timing, only 207(33.5%) of respondents add salt at the end of the cooking process. Whereas 327(52.4%) and 88(14.1%) added salt in the middle and beginning of cooking, respectively. Less than half (275, 44.1%) of mothers store salt in a dim and closed jar.

The uptake of key ENA messages among mothers

The overall uptake of key ENA messages among mothers was measured using 27 items, and 47.4% (95% CI: 43.8, 51.4) had a good uptake of key ENA messages. Complementary feeding and exclusive breastfeeding were the most commonly practiced item by 66.7% and 62.8% of respondents, respectively. On the other hand, only one-third(33.7%) of respondents had a good practice in the prevention of iodine deficiency disorder (Fig 3).

Fig 3. Distribution of uptake of key ENA messages among mothers of children aged 6–24 months in Lemo District, Southern Ethiopia, 2021.

Fig 3

Predictors of practice toward key ENA messages

Six variables were identified as important determinants of good ENA practice in multivariable logistic regression analysis. The current study identified that there was a significant association between educational level and the practice of key ENA messages. In comparison to mothers with no formal education, mothers who had completed college or higher were 3.9 times more likely to practice essential ENA messages [AOR: 3.90, 95% CI: 1.79, 8.51]. In terms of parity, primiparous women were 68% less likely to have a good uptake of key ENA messages as compared to multiparous mothers [AOR: 0.32, 95% CI: 0.21,0.56]. Compared to mothers who gave birth at home, mothers who gave birth at a health facility were 2.75 times more likely to implement key ENA messages [AOR: 2.75, CI: 1.17,6.49]. Receiving postnatal care was also found to be an important predictor of using key ENA messages. Mothers who received postnatal care were 2.95 times more likely to have a good practice of key ENA messages [AOR: 2.95, CI: 1.91, 4.57]. The odds of good uptake of key ENA messages were 2.34 times greater among mothers with good knowledge of key ENA messages as compared to those mothers with poor knowledge [AOR: 2.37, CI: 1.81, 3.26]. Finally, the research found that living in a model household increases the likelihood of implementing key ENA messages. Mothers from model households were 3.83 times more likely than their counterparts to have a good practice [AOR: 3.83, CI: 2.58, 5.69] (Table 5).

Table 5. Determinants of the practice of key ENA messages among mothers of children aged 6–24 months in Lemo District, Southern Ethiopia, 2021.

Characteristics of respondents (n = 624) Uptake of key ENA messages AOR(95%CI) p-value*
Good Poor
Age
35+ 44(46.3) 51(53.7) 1
30–34 70(43.7) 90(56.3) 1.12(0.58,2.18) .737
25–29 81(49.1) 84(50.9) 1.24(0.62,2.49) .541
20–24 89(48.6) 94(51.4) 1.44(0.75,2.79) .275
<20 12(57.1) 9(42.9) 2.66(0.64,6.10) .179
Mother’s education
No education 102(44.3) 128(55.7) 1
Can read and write 31(28.2) 79(71.8) 0.69(0.39,1.24) 0.220
Primary education 68(45.6) 81(56.4) 1.02(0.61,1.69) 0.343
Secondary education 61(71.8) 24(28.2) 2.42(1.29,4.51) ** 0.006
College and above 34(68.0) 16(32.0) 3.90(1.79,8.51) ** 0.001
Mother’s occupation
Private business work 55(46.2) 64(53.8)
Government employer 19(45.2) 23(54.8) 0.75(0.30,1.84) 0.525
Housewife 124(43.7) 160(56.3) 0.75(0.44,1.29) 0.305
Un employed 98(54.7) 81(45.3) 1.19(0.67,2.12) 0.554
Husband educational
No education 54(40.9) 78(59.1) 1
Can read and write 75(45.7) 89(54.3) 1.40(0.79,2.47) .238
Primary education 78(46.1) 91(53.8) 1.37(0.78,2.38) .270
Secondary education 39(50.0) 39(50.0) 1.28(0.65,2.54) .473
College and above 31(62.0) 19(38.0) 2.06(0.93,4.55) .075
Wealth index
Lowest 50(40.3) 74(59.7) 1
Second 61(47.6) 67(52.3) 1.13(0.61,2.08) .501
Middle 56(45.9) 66(54.1) 1.58(0.84,2.99) .157
Fourth 62(50.4) 61(49.6) 1.62(0.88,3.00) .123
Highest 67(52.8) 60(47.2) 1.65(0.89,3.06) .110
Family size
>5 70(42.7) 94(57.3) 1
≤5 226(49.1) 234(50.9) 1.08(0.66,1.75) 0.612
Parity
Grand multiparous 123(59.7) 83(40.3) 1
Multiparous 127(43.3) 166(56.7) 0.48(0.39,0.89) .041
Primiparous 46(36.8) 79(63.2) 0.32(0.21,0.56) ** .021
ANC visits
No visits 25(36.8) 43(63.2) 1
1 visit 26(37.7) 43(62.3) 0.76(0.33,1.75) .520
2–3 visits 100(44.6) 124(55.4) 1.20(0.61,2.35) .595
Four and more visits 145(55.1) 118(44.9) 1.59(0.82,3.07) .169
Place of delivery
Home 12(23.5) 39(76.5) 1
Health institution 284(49.6) 289(50.4) 2.75(1.17,6.49) ** 0.021
Getting PNC
No 58(29.3) 140(70.7) 1
Yes 238(55.9) 188(44.1) 2.95(1.91,4.57) ** <0.001
Being a Model Household
No 87(29.1) 212(70.9) 1
Yes 209(64.3) 116(35.7) 3.83(2.58,5.69) ** <0.001
Knowledge of ENA
Not knowledgeable 130(45.5) 156(54.5) 1
Knowledgeable 165(49.0) 172(51.0) 1.37(0.91,2.06) 0.127
Decision making
Non-autonomous 74(4.0) 111(60.0) 1 1
Autonomous 222(50.6) 217(49.4) 1.24(0.81,1.91) 0.323

Key: 1: Reference category

AOR = Adjusted odds ratio

COR = Crude odds ratio

*Statistically significant at p-value<0.25

** Statistically significant at p-value <0.05

Discussion

This study aimed at assessing the uptake of key ENA messages and its predictors among mothers of children aged 6 to 24 months. In the study area, 47.4% of mothers had a good practice of implementing key ENA messages, which is comparable to a study conducted in northern Ethiopia, where 46.5% of mothers complied well with key ENA messages [26]. Good practice of EBF in the current study area was 62.8% which is almost comparable with the national average of Mini EDHS 2019 (59%) and other studies conducted in Turkey (59.8%) and Western Ethiopia [3335]. The practice, however, is lower than several studies conducted in Pakistan (72%), Eastern Ethiopia (81.1%), Central Ethiopia (75.7%), southern and northern Ethiopia (88.0%), and northern Ethiopia (84%) [3640]. This could be due to disparity in the study area, as most of these studies with higher figures were conducted in urban populations. On the other hand, EBF practice was higher than studies conducted in Saudi Arabia (24.4%), average estimates for the Eastern and Southern African region (47%), developing countries (39%), and Eastern Ethiopia (45.8%) [4143]. The disparity may be attributable to the continued promotion of free delivery of maternal and child health care, resulting in a substantial rise in ANC follow-up and skilled delivery, particularly in the study area.

Regarding complementary feeding, 52.7% of mothers practiced proper complementary feeding. This finding is higher than studies carried out elsewhere [39, 4446]. The disparities might be attributed to the study period and the engagement of governmental and non-governmental organizations that are encouraging the worth of complementary feeding all through mass media at the instant. Besides, health extension workers often make home-to-home visits to support families in accessing basic health extension packages such as home-based health education and promotion programs such as proper IYCF. However, this finding is lower than the WHO cut-off point (80 to 94%) for good practice of complementary feeding [47] and previous study findings elsewhere [26, 35, 48, 49]. This might be due to disparity in education, socioeconomic, and cultural conditions, as most of the higher figured studies were from developed countries. This illustrated that stakeholders need continuous efforts to enhance the practice of optimal complementary feeding by offering community nutrition education and consultation as one part of maternal and child health care services.

The study revealed that 44.9% of mothers practiced proper feeding (increasing the frequency of feeding during and after illness) for their sick child. The finding was greater than the study conducted in northern Ethiopia (38.0%) [26] and lower than a similar study conducted in central Ethiopia (53.6%) [50]. The variation may be due to differences in the study area where the latter was done among mothers residing in urban setups and they might be more conscious of the measures to be trailed during childhood ailment through mass media.

The likelihood of having a good practice of key ENA messages was higher among mothers who attend college and above as compared to mothers with no formal education. This finding was supported by studies conducted in Northern Ethiopia [26, 51]. This could be because uneducated women are less engaged with nutritional education than educated mothers. In addition, those uneducated mothers may also be less able to access and deal with information from different outlets, such as paperbacks, pamphlets, and magazines. Furthermore, more educated women might just have a better chance than their peers of accessing nutrition education through mass media and other sources.

Knowledge of mothers on key ENA messages was also identified as a significant predictor of ENA uptake. This was supported by studies conducted in northern Ethiopia [26, 52]. This implies that enhancing mothers’ knowledge of key ENA messages is a crucial intervention of choice for implementing long-term strategies to increase effective ENA practices. In addition, a concerted effort is needed by health care providers through information education communication to achieve better compliance of mothers towards nutrition-based messages.

The uptake of key ENA messages was positively influenced by the place of delivery. This finding was in a tandem with studies carried out in Wereilu [26] and Azezo District [53], both in northern Ethiopia. This is justified by the increased likelihood of obtaining relevant maternal and child feeding information for mothers who gave birth in health facilities, which can tackle traditional beliefs that obstruct optimal postpartum child feeding.

Also, there was a significant association between the uptake of key ENA messages and postnatal service utilization which was in line with previous findings of the studies conducted elsewhere [26, 54, 55]. This might be due to the effect of information and education provided by healthcare providers during postnatal visits. Therefore, for better practice of key ENA messages, due emphasis is required from the concerned bodies to offer PNC service packages to mothers.

Moreover, the study revealed being primiparous was found to negatively influence the uptake of key ENA messages. this is supported by studies conducted in northern Ethiopia [26, 56], Vietnam [33], and Italy [36]. According to studies, even though primiparous mothers were more likely to initiate BF, they did so for a shorter period and introduced complementary foods earlier due to their lower self-confidence in their competence to breastfeed [33, 36]. Some findings also found that some breast problems, such as breast pain and infections, are common in primiparous women and are known to delay the early initiation of breastfeeding, resulting in a decrease in breastfeeding frequency [37]. All of this could result in the start of CF before six months, resulting in low uptake of Key ENA messages. Hence, primiparous mothers should be counseled on the importance of adhering to essential ENA messages during the prenatal and postpartum periods.

Finally, the study revealed that being a model household(MHH) was significantly associated with a good practice of key ENA messages. This might be because those mothers from non-model households may be less likely to have contact with health care providers and, as a result, may not have enough knowledge about those key ENA messages, potentially ending up with low practice. On the other hand, through extensive preparation, encouragement, and follow-up and family education on MNCH programs for those chosen to be role models, HEWs invest more time in the capacity-building component for model HHs. This successive training, support, and follow-up could contribute to the growth of skills and make them exercise key ENA messages too well [57, 58].

There were both strengths and shortcomings in this research. The study is among a few of its kind to assess the level and predictors of the practice of key ENA messages comprehensively since almost all of the studies were focused on individual components. The results of the study may have significant policy implications for the further enhancement of ENA packages. Although the necessary efforts have been made to reduce the potential shortcomings of this study, readers should be careful when interpreting the results. Since the study was based on self-reports, the respondents might be prone to social desirability bias. Finally, because women were asking about incidents that had already occurred before the study period, there may be a risk of recall bias.

Conclusion

The overall practice of key ENA messages in the study area was low as compared to previous studies. Variables namely maternal education of college and above, being primiparous, institutional delivery, having PNC service, having adequate knowledge of ENA, and being a model household were identified as significant predictors of ENA practice. Stakeholders must step up their efforts to improve and hasten the utilization of maternal neonatal and child services especially on skilled delivery and postpartum visits by emphasizing women with no formal education. Furthermore, health extension workers should concentrate on awareness-raising and model household creation to promote adherence to key ENA messages. Primiparous mothers should be counseled on the importance of adhering to essential ENA messages during the prenatal and postpartum periods.

Supporting information

S1 Dataset. Data set supporting the findings of the study.

(SAV)

S1 File. Data collection tool for the study.

(DOCX)

Acknowledgments

We are very grateful to the Department of Public Health of Wachemo University for all the support we have been provided to conduct this research. We are grateful for their contributions during the study to our data collectors, managers, and study participants.

Abbreviations

AOR

Adjusted Odds Ratio

CF

Complementary Feeding

EBF

Exclusive Breast Feeding

EDHS

Ethiopian Demographic Health Survey

ENA

Essential Nutrition Actions

IDA

Iron Deficiency Anemia

IDD

iodine deficiency disorders

PCA

Principal Component Analysis

SDG

Sustainable Development Goal

SPSS

Statistical product and service solutions

VAD

vitamin A deficiency

WHO

World Health Organization

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Joseph Donlan

15 Jun 2022

PONE-D-21-34897The Uptake of Key Essential Nutrition Action (ENA) Messages and Its Predictors among Mothers of Children from 6-24months in Southern Ethiopia, 2020: A Community Based Crossectional StudyPLOS ONE

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Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: General comments

It is good work. There are a lot of grammar and punctuation error, give time for your document and try to modify them. Above those comments try to see critically your document for minor errors.

Specific comments

Title: Import hyphens (Community-based Cross-sectional)

Abstract:

• Be consistent throughout your document (either 6 to 24 months or 6 – 24 months, check with what you put in your title)

• The practice of mothers towards key ENA messages…

• --- the magnitude of good ENA practice was 296. (47.4%)—better to remove the figure and put only the percentage in the abstract

• Mother’s education level [AOR: 3.90, 95%CI: 1.79, 8.51], parity [AOR: 2.72, 95%CI: 1.51,4.89], place of delivery[AOR: 2.75, 95%CI: 1.17,6.49], having PNC service[AOR: 2.95, 95%CI: 1.91, 4.57] and being a model household [AOR: 3.83,95%CI: 2.58, 5.69] were identified as a significant determinants of a good practice---- Better if you put separately which are positively associated, and which are negatively associated.

• put a space between 95%CI---95% CI, a space between word and [

• The overall practice of key ENA messages in the study area was low…. Compared to what?

• The MNCH, SDS, PNC--- if possible try to avoid abbreviations in Abstract, unless you have to state them initially

• Key messages – better if you include your study area, and study participants

Background

• -----programs, and strategies[1]—Put a space between words and references across the whole document ( strategies [1])

• The key areas of ENA is in children between 6 – 23 months but your study is on 6 – 24 months, why?

• Why you use the report of EDHS 2016 ?

• Your statement of the problem states around, not exactly on the ENA components. And you did not clearly identify studies on ENA, and the limitations of each study, and what your study adds on top of those studies (the gap seems vague).

Methods and materials

• NGO ----state it

• The study populations were women from selected kebeles who fulfilled the eligibility criteria – this is totally wrong. Clearly put the difference between your source population and study population. Then you have to put the exclusion and inclusion criteria separately

• The sampling procedure you followed to get the study participants is not feasible in such community (Community which is dispersed randomly, and have no household number) … in such community it is better to use cluster sampling technique.

• Why nurses as data collector, and PH as supervisor? Why not other professionals too

• The variance inflation factor(VIF) >10 was used to check for multicollinearity between the explanatory variables---there is no space in logistic regression to run multicollinearity, this kind of test seems pseudo, better if you see the standard errors of each variable.

• Finally, the regression analysis’ findings have been reported using odds ratios and the corresponding 95 % confidence interval --- Adjusted odds ratios

• Did you check model fitness and model adequacy, Did you check outliers…it should be mentioned

• Ethical clearance was obtained from the Ethical Review Committee of Wachemo University School of Public Health, College of Medicine and Health Science—Put the IRB number

Result

• Where did you get such like Age classification of children ---- 6-11, 12-17, 18-23

• Family size classification –why you use cut of 5, what is the recommendation in Ethiopian context

• When it came to the number of children, 293(47.0%) of respondents were multiparous. Do you mean children are multiparous???

• Remove the words like the majority, minority, small percentage….. they have no common interpretation

• For numbers >99 it is advisable to put in number rather than stating in words

• The font size across your document should be similar

• Your discussion flow should be from your study finding, then to similar study settings, then to Africa, then to the world. But you didn’t follow coherence.

• Make your discussions short and smart, it seems the report of your and other findings

• Your justifications in the discussion should be supported by some evidence, even if your thought of thinking may be there but advisable to support with references

• Your conclusion should be strong enough based on standard’s

References

• Check the grey literature when you use ENDNOTE, they need manual arrangement in the software

Reviewer #2: Comments to the author

General comments:

Five predictors (maternal, household) for essential nutrition message for nutrition of children before 1000 days of life have been set up with the manuscript. Individual, maternal, household and health system factors need more focus for improving child nutrition and health by policy-makers.

The manuscript reads well with consistency between sections although the wordcount remains wide. I appreciated the background and methods sections, they look very informative and consistent with the title and the aim of the study. Some restructuration and editing need to be done in the results, discussion, and reference list for better understanding of the text. The discussion is long as the amount of data that the paper has gathered, analyzed and interpreted. Also, the limitations of the study seem unclear, and some contrasting results have to be clarified and detailed.

Specific comments:

Method and study design section:

• Sampling section:

o When two stages sampling methods for participants has been considered, the authors should clarify and explain the process. Kebele level with simple random selection, household level with random selection, and participants level with simple random selection look like three stages of sampling instead of two.

Results

• When the dates are mentioned in the methods section, the date doesn’t add value to the title of each table.

• Knowledge of respondent section: the sentence should start by a capital letter.

• confusing results come out from the association between being primiparous mothers and good ENA messages because of the free time to care for children and to cook healthy food for family. But this is a bit confusing and contrasting with other studies where being multiparous could enable mothers to keep more knowledge and experienced practices compared to primiparous mothers. How the authors can discuss these explanations?

• Multivariable table 5 shows the significant variables that are associated with good practices of key ENA in the study. Being educated (more than secondary level), birth at health facilities, prenatal care (more than four time). The authors should show the variables that have been removed from the adjusted models because of the collinearity.

• Limitations of the study and bias (recall bias and desirability bias) has been risen in the study. The authors should say how they attempt to mitigate this risk of bias?

References

• Check for the use of capital letters in titles, abbreviation for the journal, the consistency of page numbers in the references.

• The use of capital letter in the titles (either for the first letter of the title or first letter for each word) should be consistent for the whole list of references.

• The authors should edit the publication year for the reference number 3

• The consistency needs to be followed with the style of references, particularly the using of “et al”. For instance, this term should be used with consistency after the third authors when the list of authors includes more than six authors. See references number 6, 15,19, 25…

• The authors should edit the spelling of the WHO as author of the citation in the list of references: either writing “WHO”, or World Health Organization” instead of “Organization, WH”. See references number 1, 2, 8, 22, 26…

• The reference 49 needs to edit the page number.

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Reviewer #1: Yes: Getahun Fentaw Mulaw

Reviewer #2: Yes: Christian Bwangandu Ngandu

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Attachment

Submitted filename: Comments to the Authors.docx

Decision Letter 1

Saqlain Raza

4 Sep 2022

PONE-D-21-34897R1The Uptake of Key Essential Nutrition Action (ENA) Messages and Its Predictors among Mothers of Children aged 6-24 months in Southern Ethiopia, 2021: A Community-Based Crossectional StudyPLOS ONE

Dear Dr. Habte Hailegebireal,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

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We look forward to receiving your revised manuscript.

Kind regards,

Saqlain Raza

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments:

1. In Table 1, the variable 'age' has been categorized as categorical variable, and estimated its frequencies and percentages of age-groups. Secondly, in the results before Table 1, authors found mean and SD of age. This creates ambiguity of whether the variable 'age' has been considered as continuous of categorical. Generally, we take the variable 'age' as continuous variable. Authors need to follow the variable type and justify the analysis and results in the same way.

2. In Table 1, authors have estimated WIQs along with socioeconomic status of the participants. It is quite a bit confusing numbers in the frequency. Authors need to ensure the authenticity of the calculations done through PCA.

3. Standardized age-groups for children are 6-11 months, 12-17 months, and 18-23 months. 23 months means the child has completed 23 months or 2 years of age. Authors can adjust children according to standardized format.

4. In Table 3, only 63 children were not exclusively breastfed. In another variable on the same table, 139 children were given some food other than breast milk. The two variables contradicts each other. This is a question mark on the data quality. How would the authors justify this?

5. In Table 5, give only one of 'COR' or 'AOR' and the remove the other.

6. Include in your study some more relevant literature like:

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0263470

https://pubmed.ncbi.nlm.nih.gov/35211439/

7. In the abstract, methods section is unnecessarily lengthy. Authors need to shorten it.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

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While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Decision Letter 2

Saqlain Raza

13 Sep 2022

The Uptake of Key Essential Nutrition Action (ENA) Messages and Its Predictors among Mothers of Children aged 6-24 months in Southern Ethiopia, 2021: A Community-Based Crossectional Study

PONE-D-21-34897R2

Dear Dr. Habte Hailegebireal,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Saqlain Raza

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Saqlain Raza

17 Oct 2022

PONE-D-21-34897R2

The Uptake of Key Essential Nutrition Action (ENA) Messages and Its Predictors among Mothers of Children aged 6-24 months in Southern Ethiopia, 2021: A Community-Based Crossectional Study

Dear Dr. Habte Hailegebireal:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Saqlain Raza

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Dataset. Data set supporting the findings of the study.

    (SAV)

    S1 File. Data collection tool for the study.

    (DOCX)

    Attachment

    Submitted filename: Comments to the Authors.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Attachment

    Submitted filename: Response to Academic Editor.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


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