Minimum acceptable diet and associated factors among children aged 6–23 months in Ethiopia

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Study Justification:
This study aimed to assess the level of minimum acceptable diet and its associated factors among children aged 6–23 months in Addis Ababa, Ethiopia. The health and growth of children in this age group can be affected by poor quality complementary foods and feeding practices. However, there is limited empirical evidence on the minimum acceptable diet in Ethiopia. This study fills that gap and provides valuable insights into the factors influencing children’s dietary practices.
Highlights:
– The level of minimum acceptable diet among children aged 6–23 months was found to be 74.6%.
– 90.6% of the children received minimum meal frequency, and 80.2% had dietary diversity.
– Factors significantly associated with a minimum acceptable diet included the educational level of the husband, mother’s occupation, history of postnatal follow-up, age of the mother, sex of the child, and age of the child.
Recommendations for Lay Reader:
– Fathers should be educated about the importance of a minimum acceptable diet for their children.
– Mothers should be empowered to have jobs, which can positively impact their children’s dietary practices.
– Gender equality in feeding practices should be promoted.
– Counseling on the benefits of postnatal care visits should be provided.
– The Ministry of Health should educate and advocate for the recommended minimum acceptable diet to break the intergenerational cycle of malnutrition.
Recommendations for Policy Maker:
– Develop educational programs targeting fathers to increase their awareness of the importance of a minimum acceptable diet.
– Implement policies and initiatives that support women’s empowerment and job opportunities.
– Promote gender equality in feeding practices through awareness campaigns and policy interventions.
– Strengthen postnatal care services and encourage mothers to attend follow-up visits.
– Allocate resources for educational and advocacy campaigns on the benefits of a minimum acceptable diet.
Key Role Players:
– Ministry of Health
– Health professionals (doctors, nurses, nutritionists)
– Community health workers
– Non-governmental organizations (NGOs) working in nutrition and child health
– Educational institutions (universities, schools) for training and research
Cost Items for Planning Recommendations:
– Development and printing of educational materials
– Training programs for health professionals and community health workers
– Awareness campaigns (media advertisements, community events)
– Monitoring and evaluation activities
– Research studies to assess the impact of interventions
– Capacity building programs for NGOs and educational institutions

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because it is based on a cross-sectional study design, which provides moderate strength of evidence. The study used a large sample size and employed appropriate statistical analysis methods. However, the study design limits the ability to establish causality and the findings may not be generalizable to other populations. To improve the strength of evidence, future research could consider using a longitudinal study design to establish causal relationships and include a more diverse sample of participants from different regions of Ethiopia.

Introduction: The health and growth of children less than two years of age can be affected by the poor quality of complementary foods and poor feeding practices even with optimal breastfeeding. In Ethiopia, empirical evidence on the minimum acceptable diet and its associated factors is limited. Therefore, this study was aimed to assess the level of minimum acceptable diet and its associated factors among children aged 6–23 months in Addis Ababa Ethiopia. Methods: An institution-based Cross-sectional study was conducted among a total of 575 mother-child pairs. A simple random sampling technique was used to recruit participants. For infant and young child feeding practices, the data collection tools were adapted from world health organizations’ standardized questionnaire which is developed in 2007. Data entry and analysis were performed using EPI data version 3.1 and SPSS version 20 respectively. Bivariable and multivariable logistic regression analyses were performed to determine predictor variables. Statistical significance was declared at p-value < 0.05. Result: In this study, the level of minimum acceptable diet was found to be 74.6%. About 90.6 and 80.2% of the children received minimum meal frequency and dietary diversity respectively. Having a husband secondary and above educational level [AOR = 4.789(95%CI:1.917–11.967)], being a housewife [AOR = 0.351(95% CI: 0.150–0.819)], having a history of more than three postnatal follow-ups [AOR = 2.616(95%CI:1.120–6.111], Having mothers age between 25 and 34 years [AOR = 2.051(95%CI:1.267–3.320)], being male child [AOR = 1.585(95%CI:1.052–2.388)] and having children age between 18 and 23 months [AOR = 3.026(95%CI:1.786–5.128)] were some of the factors significantly associated with a minimum acceptable diet. Conclusion: In this study, the minimum acceptable diet among children aged 6–23 months was significantly associated with the educational status of the husband, mother’s occupation, history of postnatal follow-up, age of the mother, sex of the child, and age of the child. Thus, attention should be given to educating the father, empowering mothers to have a job, promoting gender equality of feeding, and counseling on the benefit of postnatal care visits. In addition, the ministry of health should work on educating and advocating the benefit of feeding the recommended minimum acceptable diet to break the intergenerational cycle of malnutrition.

An institution-based cross-sectional study was conducted from June 01 to June 30, 2019, in the city of Addis Ababa Ethiopia. The city comprises 10 sub-cities (Kifle Ketemas). Yeka sub-city, Bole sub-city, and Arada sub-city were three of the ten sub-cities with a total population of 454,850, 406,059, and 279,020 respectively. The expected number of children aged 6–23 months was 21,872 (8719 from yeka sub-city, 7796 from Bole sub-city and 5357 from Arada sub-city). Yeka sub-city had 14 districts and 15 health centers and one governmental hospital, Bole sub-city had 10 health centers and 15 districts and Arada sub-city had 9 health centers and 10 districts (Addis Ababa city administration health bureau of 2011 E. C data). All children aged 6–23 months who came for the expanded program on immunization (EPI) at the government health facility in Addis Ababa, Ethiopia were the source population whereas those children aged 6–23 months and came to the Expanded Program on Immunization (EPI) during the data collection period at the selected governmental health centers were taken as the study population. All children aged 6–23 months with a permanent residence of the mother (lived for at least six months) who came for the Expanded Program on Immunization (EPI) only. Children aged 6–23 months whose mothers had (permanent residents) in the study area during data collection. While those children aged 6–23 months with known medical or surgical problems were excluded. Minimum dietary diversity: was taken as an achieved if the children were received four or more food groups from of the seven food groups such as grains, roots and tubers; legumes and nuts; dairy products (milk, yogurt); Flesh foods (meat, fish, poultry, and liver/organ meats); eggs; vitamin A-rich fruits and vegetables; and other fruits and vegetables [19–21]. Minimum meal frequency: The children who received solid, semisolid, or soft foods is taken as minimal meal frequency and was measured when the infant feeds twice for breastfed infants 6–8 months, three times for breastfed children 9–23.9 months, and four times for non-breastfed children 6–23 months [19, 21]. Minimum acceptable diet: For breastfed children, it is achieved if the child meets both the MDD and MMF criteria. For non- breastfeed children, the child has to receive at least four food groups excluding dairy products, two milk feeds, and MMF [19]. Satisfactory exposure to media: If Women aged 15–49 years read a newspaper or magazine or listen to the radio, or watched television at least once a week [15]. Household income: consists of all receipts whether monetary or in-kind (goods and services) that are received by the household or by individual members of the household at annual or more frequent intervals, but exclude windfall gains and other such irregular and typically one-time receipts [22]. Household food security: households who experience none of the food insecurity (access) conditions, or just experience worry, but (one or two times in the last 4 weeks) are labeled as “Food secured” [23, 24]. Household food insecure: in the ability of households to access sufficient food at all time to lead to an active healthy life (includes all stage of food insecurity; mild, moderate and severe) without eating), even as infrequently as rarely (one or two times in the last 4 weeks) [25]. Maternal decision making: if the mother has the right to decide on the amount of food type of food and the right to buy food for the baby, then the mother is said to be involved in the decision making. However, if she doesn’t involve in any of the above criteria, then the mother is said to be not involved in the decision-making. Timely introduction of complementary feeding: the Introduction of solid, semi-solid, or soft foods, minimum meal frequency, minimum dietary diversity, and consumption of iron-rich or iron-fortified foods and started at six months of age [21, 26]. Appropriate:-if the mother responds correctly to all four indicators (timely introduction of complementary feeding, MMF, MDD, and MAD). Inappropriate:-among the four indicators if at least one indicator was not fulfilled [27]. The minimum sample size was determined using a single and the double population proportion formula for the first and the second objectives respectively and was calculated using Epi Info™ version 7 stat calc. The final required sample size (large sample from the two objectives) for this particular study was obtained using the second objective and it was 575 [10]. Out of 10 sub-cities in the city, 30% of them (3 sub-cities such as Yeka, Bole and Arada) were selected by lottery method. From each sub-city 30% of their health centers (HC) were again selected by lottery method (from yeka 5 HC, from Bole 3 HC and Arada 2 HC). The eligible total number of children aged 6–23 months from each sub-city were selected using population size to proportional allocation based on their medical record number as sampling frame (Fig. 1). simple sketch map for sampling procedure of the study for minimum acceptable diet A structured and pre-tested interviewer-administered questionnaire was prepared by reviewing relevant works of different literature. Primary data on the practice of minimum acceptable diet, minimum dietary diversity by 24 h method, minimum meal frequency, and related factors were collected from mothers or caregivers who had a child aged 6–23 months by using the 24-h recall method. Five experienced well-trained and experienced clinical nurses and two senior public health officers were recruited and trained for data collection and supervision, respectively. The data collection tool regarding the various factors is adapted from EDHS 2016 and different literature with some modifications to fit with the local context. Moreover, the tool on dietary diversity meal frequency was adapted from the WHO standardized questionnaire for IYCF practices [21]. To ensure quality, the questionnaire was translated into the local language by experts. Finally, before data collection, it was re-translated back to English to verify consistency. Before starting the actual data collection, one day of extensive training was given for the data collectors and supervisors. A pre-test for appropriateness and feasibility of the tool was conducted and all necessary modifications and amendments were done accordingly. The tool was used with a reliability test or Cronbach’s alpha correlation coefficient of greater than or equal to 0.7 for inter-item consistency. The completeness and accuracy of questionnaires were checked daily before leaving the data collection site for immediate action. After data collection before analysis, all collected data were checked for completeness. Double data entry (data were entered by two people independently) was performed to check the consistency or reduce data entry error. The collected data were coded, cleaned, edited, and entered into Epidata version 3.1 and exported to SPSS version 20.0 for statistical analysis. The presence of an association between explanatory and outcome variables was ascertained using binary logistic regression analysis. The goodness of fit was tested by the log-likelihood ratio (LR). To control all possible confounders all variables with P  2 were dropped from the analysis. In a multivariable model adjusted odds ratio determined with a 95% confidence level was used to assess the strength of association. In this study P-value < 0.05 was deemed to declare statistical significance. Then, the finding was presented by using simple frequencies, summary measures, tables, texts, and figures.

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Based on the provided information, here are some potential innovations that could be used to improve access to maternal health:

1. Mobile Health (mHealth) Applications: Develop and implement mobile applications that provide pregnant women and new mothers with information and reminders about proper nutrition, breastfeeding practices, and postnatal care. These apps can also connect women to healthcare providers for virtual consultations and support.

2. Telemedicine Services: Establish telemedicine services that allow pregnant women and new mothers to consult with healthcare professionals remotely. This can help overcome barriers such as distance and transportation, ensuring access to timely and quality care.

3. Community Health Workers: Train and deploy community health workers who can provide education, counseling, and support to pregnant women and new mothers in their communities. These workers can help address cultural and social barriers to accessing maternal health services.

4. Maternal Health Vouchers: Implement voucher programs that provide pregnant women with financial assistance to access essential maternal health services, including antenatal care, skilled birth attendance, and postnatal care. This can help reduce financial barriers and increase utilization of these services.

5. Maternal Health Clinics: Establish dedicated maternal health clinics that provide comprehensive care for pregnant women and new mothers. These clinics can offer a range of services, including antenatal care, childbirth support, postnatal care, family planning, and nutrition counseling.

6. Public Awareness Campaigns: Launch public awareness campaigns to educate communities about the importance of maternal health and the available services. These campaigns can help reduce stigma, increase knowledge, and encourage women to seek timely care.

7. Maternal Health Hotlines: Set up toll-free hotlines staffed by trained healthcare professionals who can provide information, counseling, and referrals related to maternal health. This can be particularly useful for women in remote areas or those who prefer to seek information anonymously.

8. Maternal Health Education Programs: Develop and implement educational programs that target women, families, and communities to promote awareness and understanding of maternal health issues. These programs can cover topics such as nutrition, breastfeeding, prenatal care, and birth preparedness.

9. Partnerships with Non-Governmental Organizations (NGOs): Collaborate with NGOs that specialize in maternal health to leverage their expertise, resources, and networks. These partnerships can help expand access to maternal health services and improve the quality of care provided.

10. Maternal Health Monitoring Systems: Establish robust monitoring systems to track maternal health indicators and identify areas for improvement. This can help policymakers and healthcare providers make informed decisions and allocate resources effectively.

It is important to note that the implementation of these innovations should be context-specific and tailored to the needs and resources of the community.
AI Innovations Description
The study conducted in Addis Ababa, Ethiopia aimed to assess the level of minimum acceptable diet and its associated factors among children aged 6-23 months. The minimum acceptable diet refers to the combination of minimum dietary diversity and minimum meal frequency.

The study found that the level of minimum acceptable diet among the children was 74.6%. This means that 74.6% of the children received both the minimum meal frequency and dietary diversity recommended for their age group. Specifically, 90.6% of the children received the minimum meal frequency, and 80.2% received the minimum dietary diversity.

Several factors were found to be significantly associated with a minimum acceptable diet. These factors include the educational level of the husband (secondary and above), the mother’s occupation (being a housewife), the number of postnatal follow-ups (more than three), the age of the mother (between 25 and 34 years), the sex of the child (being male), and the age of the child (between 18 and 23 months).

Based on these findings, the study recommends several actions to improve access to maternal health and promote a minimum acceptable diet for children. These recommendations include:

1. Educating fathers: Attention should be given to educating fathers, particularly those with a secondary and above educational level, on the importance of a minimum acceptable diet for their children. Fathers can play a crucial role in supporting and promoting healthy feeding practices.

2. Empowering mothers: Promoting gender equality and empowering mothers to have a job can contribute to improved access to maternal health and better feeding practices. When mothers have a job, they may have more resources and decision-making power to provide a minimum acceptable diet for their children.

3. Promoting postnatal care visits: Encouraging mothers to have more than three postnatal follow-ups can help improve access to maternal health services and provide opportunities for counseling on the benefits of a minimum acceptable diet.

4. Counseling on the benefits of a minimum acceptable diet: The Ministry of Health should work on educating and advocating the benefits of feeding the recommended minimum acceptable diet to break the intergenerational cycle of malnutrition. Providing information and counseling to mothers and caregivers can help them understand the importance of diverse and frequent meals for their children’s health and growth.

By implementing these recommendations, it is hoped that access to maternal health will be improved, and more children will receive a minimum acceptable diet, leading to better health outcomes for mothers and children in Ethiopia.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Increase awareness and education: Implement comprehensive education programs targeting both mothers and fathers to raise awareness about the importance of maternal health, including proper nutrition during pregnancy and breastfeeding practices.

2. Strengthen postnatal care services: Enhance the availability and accessibility of postnatal care services, including regular follow-ups and counseling sessions for mothers and their infants. This can help address any challenges or concerns related to infant feeding practices.

3. Empower women economically: Promote gender equality and empower women by providing opportunities for income generation and employment. This can contribute to improved household income and food security, which are crucial for ensuring adequate nutrition for mothers and their children.

4. Improve healthcare infrastructure: Invest in improving healthcare infrastructure, particularly in underserved areas, by increasing the number of health centers and trained healthcare professionals. This can help ensure that mothers have access to quality maternal healthcare services.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define indicators: Identify key indicators that reflect access to maternal health, such as the percentage of women receiving postnatal care, the percentage of women with adequate nutrition during pregnancy, and the percentage of women with access to healthcare facilities.

2. Collect baseline data: Gather data on the current status of these indicators in the target population. This can be done through surveys, interviews, or analysis of existing data sources.

3. Develop a simulation model: Create a simulation model that incorporates the identified recommendations and their potential impact on the selected indicators. This model should consider factors such as population size, geographical distribution, and existing healthcare infrastructure.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the potential impact of the recommendations. This can involve adjusting variables such as the coverage of education programs, the number of healthcare facilities, and the level of economic empowerment.

5. Analyze results: Analyze the simulation results to determine the projected changes in the selected indicators. This can help identify which recommendations are likely to have the greatest impact on improving access to maternal health.

6. Refine and validate the model: Refine the simulation model based on the analysis of results and validate it using additional data sources or expert input. This can help ensure the accuracy and reliability of the simulation findings.

7. Communicate findings and make recommendations: Present the simulation findings in a clear and concise manner, highlighting the potential benefits of implementing the recommended interventions. Use the findings to inform policy decisions and advocate for the necessary changes to improve access to maternal health.

It is important to note that the methodology described above is a general framework and can be adapted based on the specific context and available data.

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