Skip to main content

ORIGINAL RESEARCH article

Front. Nutr. , 24 January 2025

Sec. Nutrition and Sustainable Diets

Volume 12 - 2025 | https://doi.org/10.3389/fnut.2025.1451193

Time to dietary diversity of complementary feeding improvements and its associated factors among infants aged 6–12 months in Ethiopia: evidence from performance monitoring for action

  • 1Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Science, Haramaya University, Harar, Ethiopia
  • 2Department of Health Service and Policy Management, School of Public Health, College of Medicine and Health Science, Haramaya University, Harar, Ethiopia
  • 3Department of Reproductive Health and Nutrition, School of Public Health, College of Medicine and Health Science, Haramaya University, Harar, Ethiopia

Background: Infant and Young Child Feeding significantly affect the health, development, and nutritional status of children under 2 years old, ultimately affecting their survival. The aim of this study is to determine the time to improvement in dietary diversity and associated factors in infants aged 6 to 12 months.

Methods: The study used secondary data from the PMA Ethiopia longitudinal panel survey, involving pregnant women from January to March 2024. The data management and analysis were performed using Stata version 17. The Kaplan–Meier survival curve (KM) and the log-rank test method were implemented. A Cox proportional-hazard regression model was used to explore the association between independent variables and the outcome variable. The strength of the association was indicated by the adjusted hazard ratio (AHR) with a 95% confidence interval. The threshold of p < 0.05 was applied to determine the significance of an association.

Results: The study found that the proportion of infants with improved dietary diversity aged 6–12 months was 22% (95% CI: 19.5, 25%). Factors associated with improved dietary diversity in infants aged 6 to 12 months were married women (AHR = 9.3, 95% CI = 1.19, 8.30), women with a secondary school (AHR = 1.9, 95% CI = 1.05, 3.51), women with technical and vocational (AHR = 2.0, 95% CI = 1.01, 4.05) and women with a university degree (AHR = 2.9, 95% CI = 1.51, 5.38). Moreover, women in the highest wealth quintile (AHR = 3.5, 95% CI = 1.31, 9.41), women visiting PNC (AHR = 1.7, 95% CI = 1.13, 2.62), women visiting ANC 1–3, and more than four times were (AHR = 2.4, 95% CI = 1.51, 3.74) and (AHR = 3.6, 95% CI = 2.28, 5.67) times higher for improving dietary diversity.

Conclusion: The findings of this study showed that the proportion of dietary diversity improvement was 22%. Which is relatively low. Marital status, educational status, wealth index, PNC, and ANC visits were identified as statistically significant factors associated with dietary diversity improvements. It suggests that public health interventions should focus on enhancing maternal knowledge and promoting regular healthcare visits to mitigate malnutrition and improve infant health outcomes in Ethiopia.

Introduction

The health, development, and nutritional status of children under 2 years of age are directly influenced by the diet of infants and young children, which in turn has an impact on child survival (1). For children 0–23 months old, improving IYCF practices is essential for improved development, health, and nutrition (1). The guidelines recommend that meals for children aged 6–23 months should be varied and evenly spaced to meet their nutritional and energy needs (13).

In the world, over 3.4 million children under the age of five pass away every year because of improper feeding practices. Of these, improper feeding practices during the first 2 years of life are linked to two-thirds of these deaths (4, 5). An estimated 149 million children under the age of five were considered stunted (too short for their age), 45 million were considered wasted (extremely thin for their height), and 37 million were overweight or obese in 2022 (6). Of infants 0–6 months old, 44% are exclusively breastfed. Very few children obtain safe and nutritionally sufficient complementary foods; in many nations, less than one-fourth of infants between the ages of 6 and 23 months fulfill the requirements for dietary diversity and age-appropriate feeding frequency (6, 7). The issue may stem from socioeconomic disparity and inadequate healthcare accessibility across different nations.

The prevalence of severe forms of malnutrition, like wasting and stunting, is highest in sub-Saharan Africa (8). In Ethiopia, malnutrition is still a serious public health issue (8). Over the past few years, a large number of studies on nutrition and health in Ethiopia have been carried out. According to these studies, Ethiopia has the highest rate of malnutrition in all of Sub-Saharan Africa. According to the 2019 UNICEF report, one in ten Ethiopian children under the age of five (about two million) and 45 percent of child fatalities under the age of five are linked to undernutrition. Stunting still affects more than 5.4 million Ethiopian children under the age of five (39 percent) (9). The 2019 Ethiopian Demographic Health Survey (EDHS) reports that malnutrition is linked to around 53% of deaths among children under five (10). One of the most important tactics for enhancing child survival and promoting healthy growth and development is the promotion and protection of appropriate baby and early child feeding (8). However, only a small percentage of infants between the ages of 6 and 23 months worldwide satisfy the necessary standards for dietary diversity, and less than one-fourth of them are fed a diet that is sufficiently nutritious (7, 11). In order to maintain appropriate growth and development during this crucial stage, the World Health Organization recommends that an infant receive the minimum dietary diversity (MDD) of at least five food groups out of eight (11, 12). Although many children cannot meet these criteria, these seven food groups were grains, roots, and tubers; legumes and nuts; dairy products (milk, yogurt, cheese); flesh foods (meat, fish, poultry, and liver/organ meats); eggs; and other fruits and vegetables. For children to grow and stay healthy to the best extent possible throughout the first 100 days of life, adequate nourishment is essential. This allows the children to grow to their maximum potential (12). Making investments in a child’s first 2 years of life can not only promote healthy growth in low-income nations where early childhood undernutrition is frequent, but also potentially break the cycle of intergenerational malnutrition (10, 11). Breastfeeding is no longer sufficient to supply a growing child’s nutritional needs after the age of 6 months; as a result, eating a sufficient and varied diet is essential (13). Child mortality and morbidity are significantly reduced when the core indicators of Infant and Young Child Feeding (IYCF) practices are implemented. These indicators include early initiation of breast milk within 1 h of birth, exclusive breastfeeding for children under 6 months of age, initiation of complementary feeding at 6 months of age, continuation of breastfeeding until 1 year of age, and consumption of iron-rich or iron-fortified foods (6, 14).

A number of studies have demonstrated that children who receive a minimum amount of nutritional diversity are less likely to be underweight and stunted (15). The study conducted in the Oromia region showed that the proportion of children with a good dietary diversity score was 40 (26.7%) (16), Dire Dawa, Ethiopia 24.4% (17), Amhara, Ethiopia 18.2% (18), SNNP, Ethiopia (19), and Somali region, Ethiopia 47.2% (20). A similar study in Ethiopia revealed that the proportion of inadequate minimum dietary diversity was 85.1% (21). There is a substantial correlation between the use of dietary diversity among children aged 6–23 months and several sociodemographic characteristics, such as maternal education, occupation, and family affluence, and community-level factors, such domicile and regional variance (4, 13, 16, 18, 21, 22). The health and nutritional status of Ethiopians have suffered greatly as a result of the fact that approximately 60% of dads, mothers, and other caregivers are uneducated, and just 23% have completed elementary school. The health and nutritional status of Ethiopians have suffered greatly as a result of the fact that approximately 60% of dads, mothers, and other caregivers are uneducated, and just 23% have completed elementary school (23). Furthermore, the majority of teenagers have developed attitudes that underlie poor nutrition by the time they are 13–17 years old. In this age bracket, only 11% of respondents think a child under five can survive or be breastfed solely, and 26% think a baby can start eating animal products at 6 months. The eating habits and attitudes of adults that they observe in their communities are absorbed by the teenagers (23).

The government of Ethiopia understands that combating malnutrition is critical to attaining sustainable development. Consequently, audacious measures were implemented in the health and other nutrition-focused domains to establish policies, initiatives, and extensive interventions aimed at considerably diminishing all types of malnourishment among the most susceptible populations, namely, young children, expectant mothers, and nursing mothers. However, undernutrition in women and children continues to be a serious issue that calls for multisector action (9). So in general previous research has shown that mothers who gave birth in a health facility, had no economic problems, and received breastfeeding counseling during pregnancy had a higher rate of exclusive breastfeeding. In addition, mothers with higher levels of education and postnatal check-ups were more likely to introduce complementary foods correctly (24). However, the full continuum of age-appropriate infant feeding practices and associated factors in Ethiopia is not well documented. Therefore, the purpose of this study was to determine when to enhance the dietary variety practices of newborns and to evaluate the factors linked to these improvements.

Materials and methods

Study setting

The Performance Monitoring for Action (PMA) Ethiopia panel survey was conducted in four large, predominantly agrarian regions (Tigray, Oromia, Amhara, and Southern Nations, Nationalities, and Peoples’ Region), one pastoralist region (Afar), and one urban region (Addis Ababa) of Ethiopia, comprising 90% of the total Ethiopian population. With a population of over 80% living in rural areas, Ethiopia will be the second most populated country in Africa in 2022 with an estimated total population of 123 million (25).

Three levels of healthcare delivery systems comprise the Ethiopian health tier system: primary, secondary, and tertiary level healthcare organizations. The first level of health systems is district (woreda) systems, which are made up of primary hospitals that serve 60,000–100,000 people, health centers that serve 15,000–25,000 people, and satellite health posts that serve 3,000–5,000 people and are connected to one another by a referral system. General hospitals serve a population of 1.1–1.5 million people at level two, and specialized hospitals serve 3.5–5 million people at level three (26). According to the Ethiopian MoH 2020–2021 report on health indicators, there are 17,699 health posts, 3,777 health centers, and 367 public hospitals in the country (27).

Study design and duration

The study was conducted using secondary data from the PMA Ethiopia longitudinal panel survey, a community-based prospective cohort study, where pregnant women were enrolled at baseline and interviewed at 6 weeks, 6 months, and 1 year postpartum from March to June 2024. The survey was launched in 2018 with the aim of generating timely and actionable data on reproductive, maternal, and newborn health (RMNH) indicators in Ethiopia. The PMA-Ethiopia panel survey was conducted from 2019 to 2021, which is the first cohort of the project.

Source population

The source population for this study was all infants whose mothers are enrolled in the 2019–2021 cohort of the PMA-Ethiopia project.

Study population

The study population for this study was all alive infants with their mothers on completion of the 1 year postpartum 2019–2021 cohort of the PMA-Ethiopia project.

Inclusion criteria

Women who consented to follow-up until the end of the survey and completed the survey with alive children at the time of the one-year postpartum follow-up interview were included in this study.

Exclusion criteria

Women who refused follow-up/missed interviews at some point, died, or had no live births were excluded from this study.

Data source

The PMA-Ethiopia survey was conducted in cooperation between Addis Ababa University (AAU) and the Johns Hopkins Bloomberg School of Public Health (JHSPH). Three distinct survey components make up PMA Ethiopia: an annual cross-sectional survey that is conducted nationwide, a panel survey that follows pregnant women for a year after giving birth, and two cohorts of women from 2019 to 2021 and 2021 to 2023. The 1-year panel survey of the first cohort of postpartum women will provide the data for this study.

Sampling technique and procedure

In the four areas of Tigray, Amhara, Oromia, and SNNP, a two-stage cluster sampling technique was applied by stratifying rural and urban residences. In the Afar region and Addis Ababa, two-stage cluster sampling without stratification was employed under the assumption that there would be no distinction between urban and rural areas because Addis Ababa is an urban area and a majority of the Afar people live in pastoralist communities. Initially, 217 enumeration areas (EA) were chosen at random from each of the six regions. Subsequently, each EA had 35 randomly chosen households, and at the time of the survey, every woman in those households underwent screening to determine whether she was pregnant.

Among the 2,868 pregnant or recently postpartum women enrolled in cohort 1 baseline survey of the PMA-Ethiopia Project, 255, 250, and 320 women missed interviews at 6 weeks, 6 months, and 1 year postpartum, respectively. Because women who had non-live births (n = 258) were not interviewed during the follow-up interviews, 1785 women were included in the analysis of determining the prevalence of dietary diversity in infants and counseling on the GMP program for caregivers/parents. Finally, using a purposive sampling procedure, women who had received counseling on the GMP program during PNC visits (n = 873) were included to examine the role of counseling on growth monitoring and promotion during postnatal care in improving the optimal dietary practice of infants.

Study variables

Dependent variable

Time to improvements in dietary diversity.

Independent variables

Maternal age, Household Wealth, Marital status, Parity, Region, Residence, Maternal education level, Place of delivery, PNC visits, ANC visits, nutritional counseling.

Operational definitions

Dietary Diversity improved an infant who consumed five or more food groups from the eight food groups during the previous day (11, 12).

The eight food groups are as follows: breast milk; grains, roots, and tubers; Legumes and nuts; Dairy products (milk, yogurt, and cheese); Flesh foods (meat, fish, poultry, and liver/organ meats); Eggs; Vitamin –A rich fruits and vegetables; and other fruits and vegetables.

Dietary Diversity not improved an infant who consumed four or fewer food groups from the eight food groups during the previous day (11, 12).

Data collection procedures

In 217 EAs, a census of 36,614 households was conducted between October and November 2019. Following a screening of 32,792 women aged 15 to 49, who reported being pregnant or having given birth within the previous 6 weeks, these women qualified for the panel study; 2,889 of them were found to be eligible, and 2,855 of them enrolled for the baseline survey. In addition to completing a baseline survey upon enrollment, each woman had to participate in follow-up interviews 6 weeks, 6 months, and 1 year postpartum. The panel’s purpose is to identify variations in health-related behaviors among populations that have been “exposed” to different elements of Ethiopia’s healthcare system. Data on dietary practices and PNC counseling used for this study were reported at six-month interview with 91% response rate and at 1 year interview with 87% response rate (28).

Resident enumerators conducted baseline interviews, collecting data on women’s sociodemographic characteristics, antenatal care, family planning history, pregnancy intentions, and gestational age. Information was gathered on postnatal care visits, the child’s 24-h food intake, the initiation of complementary feeding, and nutritional counseling. Women 5–9 weeks postpartum at enrollment were asked about labor and delivery experiences. Informed consent was obtained from all 2,868 pregnant or recently postpartum women before participation. Women who were pregnant at enrollment underwent baseline and 6-week postpartum interviews. The PMA-Ethiopia Panel Cohort 1 6-week follow-up survey included selected participants from the baseline survey groups. Eligible participants for the 6-week follow-up survey included women 5–9 weeks postpartum at baseline, women 0–4 weeks postpartum at baseline consenting to follow-up, and pregnant women at baseline consenting to follow-up. Two groups of women (n = 277 and n = 2,393) were studied based on their postpartum status. The 6-week follow-up survey was conducted at different times for the two groups: between September and December 2019 and March and September 2020. A total of 2,669 women completed the 6-week follow-up survey. Data on ANC characteristics, labor, delivery situations, psychological factors, and postpartum experiences were collected during the follow-up. Face-to-face interviews were conducted at the women’s homes, and all data were self-reported to minimize recall bias. Women’s sociodemographic status, such as age, education, parity, region, wealth, residence, and marital status, was collected during the baseline survey and matched with follow-up responses. Parity, a sociodemographic characteristic, did not include the index or most recent pregnancy in the data analysis (29).

Enumerators gathered data on MNH services, PNC, and newborn nutrition via surveys. Information was collected at 6-week, 6-month, and 1-year postpartum follow-ups. Respondents were asked about health checks for themselves or their children. Those who received health checks were considered to have received PNC. Women reporting PNC received child nutrition counseling about various topics. Counseling included guidance on diverse foods, animal-source foods, feeding frequency, and avoiding sugary beverages. Receiving any PNC counseling was confirmed by affirmative responses to counseling content questions (29).

Data management and analysis procedures

The data were originally downloaded from the Open Data Kit (ODK) aggregate server daily during the data collection period, and the data management and analysis were performed using Stata version 17. Participants applied further data cleaning procedures to detect and handle outliers, missing values, and inconsistencies in variables and to address censorship. The Kaplan–Meier survival curve (KM) and the log-rank test method were implemented to test the occurrence of differences in the probability of dietary diversity improvement between groups. The proportional hazard assumption was checked by the Schoenfeld residual test and was satisfied (the p-value of each variable ranges from 0.056 to 0.995, and the global test result was 0.538, which was insignificant). Multicollinearity was checked using variance inflation factors (the mean VIF was 3.8). Cox proportional-hazard regression explored associations between variables. The Cox-Snell residual test was used to check the model’s fitness. Factors with a p-value <0.25 in bivariable analysis were entered into multivariable analysis. The crude hazard ratio (CHR) and adjusted hazard ratio (AHR) with a 95% confidence interval (CI) were calculated to assess the strength of the association between independent variables and time to dietary diversity improvements. Variables with a p-value of 0.05 were deemed statistically significant for improving dietary diversity among 6 to 12-month-old infants.

Ethics and consent

The PMA Ethiopia received ethical approval from Addis Ababa University, College of Health Sciences (AAU/CHS) (Ref: AAUMF 01–009) and the Johns Hopkins University Bloomberg School of Public Health (JHSPH) Institutional Review Board (FWA00000387). Informed written consent was secured from the mothers/caregivers. To ensure the confidentiality of patient information, patients’ names and addresses, such as phone numbers, were not recorded during data collection. The entire study process followed the relevant guidelines and regulations of the Declaration of Helsinki.

Results

Background characteristics of study participants

Mothers those aged under 25, comprise the largest group both in the improved (40.41%) and not improved (43.68%) categories. Marital status significantly affects outcomes, with married women being overwhelmingly predominant in both improved (99.48%) and not improved (94.56%) groups. School level also shows a stark difference, with a higher percentage of improving outcomes among mothers with higher education levels (diploma and above, 19.69%). Urban residence correlates with a higher improvement rate (67.88%) compared to rural areas (32.12%). Orthodox mothers tend to have higher percentages in both improved and not improved groups, although other religious affiliations also show significant numbers. The highest quintile shows the largest percentage of improvement (68.39%). Geographic location affects outcomes significantly, with Addis Ababa showing a high improvement rate (29.53%), while regions like Afar show much lower percentages (0.52%) (Table 1).

Table 1
www.frontiersin.org

Table 1. Background characteristics of participants by improvements dietary diversity in Ethiopia.

Maternal related characteristics

The majority (94.82%) of the women with less than four number of parity improved dietary for their babies. Women with four or more ANC visits (23.83%) and those who received nutritional counseling (49.74%) experience notable improvements (Table 2).

Table 2
www.frontiersin.org

Table 2. Maternal related characteristics of infants aged 6–12 months in Ethiopia.

The majority of births occurred at government health centers (49.37%), followed by government hospitals (42.38%). Only a small fraction of births took place at home (2.75%) (Figure 1).

Figure 1
www.frontiersin.org

Figure 1. Proportion of infant’s delivery place.

Nearly all 843 mothers (96.56%) nursed their babies from birth, according to the bar charts below. In addition to breast milk, the majority of the 574 newborns (65.75%) consumed the dietary classes of cereals, roots, and tubers. Flesh foods had the lowest recorded percentage of dietary diversity for babies 31 (3.55%) (Figure 2).

Figure 2
www.frontiersin.org

Figure 2. The percentage of infants took foods regularly in addition to breast milk after age of 6 months.

Improvements of dietary diversity

During the 6–12 month period, less than one in four newborns, 22% (95% CI: 19.5, 25%), consumed five or more food groups (Figure 3).

Figure 3
www.frontiersin.org

Figure 3. The percentage of improvements of dietary diversity among infants aged 6–12 months.

The overall Kaplan–Meier survival curves show that the babies began consuming food other than breast milk when they were less than 6 months old (Figure 4).

Figure 4
www.frontiersin.org

Figure 4. The overall Kaplan–Meier survival curve of dietary diversity among infants in Ethiopia.

The Kaplan–Meier curves demonstrated that married mothers greatly increased the dietary variety of their infants compared to single moms (chi-square value for log rank test = 8.58, p = 0.0034) (Figure 5).

Figure 5
www.frontiersin.org

Figure 5. The Kaplan–Meier survival curve of dietary diversity among infants by marital status in Ethiopia.

According to the Kaplan–Meier curves, mothers who had completed formal education were far more likely to improve the nutritional diversity of their infants than those who had not (chi-square value for log rank test = 58.71, p = 0.0000) (Figure 6).

Figure 6
www.frontiersin.org

Figure 6. The Kaplan–Meier survival curve of dietary diversity among infants by educational status in Ethiopia.

Cox proportional hazard assumption test

The Schoenfeld residual test was used to evaluate the cox proportional hazard assumptions for each predictor’s variable. After the global test was run, the results showed that it was not significant (each variable’s p-value ranged from 0.056 to 0.995, and the global test as a whole was met with a p-value of 0.538) (Table 3).

Table 3
www.frontiersin.org

Table 3. Schoenfeld residual test of dietary diversity improvements for infants aged 6–12 months in Ethiopia.

The hazard function closely follows the 45-degree line, as demonstrated by the Cox-Snell residual plot, indicating that the model’s goodness of fitness was met. The final model thus had good data fitting (Figure 7).

Figure 7
www.frontiersin.org

Figure 7. Cox–Snell residual plot of dietary diversity.

Factors associated with dietary diversity improvement

All variables with a p-value of less than 0.25 in the bivariable Cox proportional hazards analysis were included in the multivariable Cox proportional hazards regression analysis. On this basis, marital status, education level, place of residence, wealth index, region, ANC visits, frequency of ANC follow-up, parity, PNC visits, nutritional counseling, and place of delivery were candidates for the multivariable Cox proportional hazards regression model. However, only five variables, such as marital status, education level, wealth index, PNC visits, and the number of ANC follow-ups, were statistically significant variables for dietary diversity. The improvement of dietary diversity in infants aged 6–12 months were 9.3 times higher in married women (AHR = 9.3, 95% CI = 1.29, 8.30). The likelihood of improving dietary diversity in infants aged 6–12 months was 1.9 times higher in women with a secondary school (AHR = 1.9, 95% CI = 1.05, 3.51). The probability of improved dietary diversity in infants aged 6–12 months was 2.0-fold (AHR = 2.0, 95% CI = 1.01, 4.05) and 2.9-fold (AHR = 2.9, 95% CI = 1.51, 5.38) higher in women with a technical and vocational, and higher degree, respectively, than in women without a school degree. Women in the highest wealth quintile were 3.5 times more likely (AHR = 3.5, 95% CI 1.31, 9.41) to have improved dietary diversity in infants aged 6–12 months than women in the lowest wealth index quintile. The likelihood of women visiting PNC were 1.7 times higher to improve dietary diversity for infants aged 6–12 months (AHR = 1.7, 95% CI = 1.13, 2.62). The likelihood of women visiting ANC 1–3 and more than four times were (AHR = 2.4, 95% CI = 1.51, 3.74) and (AHR = 3.6, 95% CI = 2.28, 5.67) times higher for improving dietary diversity for infants aged 6 to 12 months compared with no visits ANC (Table 4).

Table 4
www.frontiersin.org

Table 4. Cox proportional hazards regression analysis for factors associated with dietary diversity improvement among infants 6–12 months in Ethiopia.

Discussion

The World Strategy for Infant and Young Child feeding was created in collaboration with WHO and UNICEF to raise awareness of the effects that feeding habits have on newborns’ and children’s health, development, and survival. Based on research, the Global Strategy aims to promote optimal health outcomes by highlighting the critical role that adequate feeding habits play in nutrition during the early years of life. Infant and childhood morbidity and mortality are significantly increased by inadequate breastfeeding, particularly during the first 6 months of life, and are further exacerbated by inappropriate supplemental feeding (1). Therefore, the aim of this study was to identify the factors associated with dietary diversity improvements and timing to change dietary diversity in Ethiopia.

The study found that 22% (95% CI: 19.5, 25%) of infants aged 6–12 months experienced improvements in dietary diversity. This indicates that while some progress is being made, a significant portion of infants may still be consuming limited diets, which can have adverse effects on their growth and development. This finding highlights the need for continued efforts to enhance dietary diversity among infants. This finding is consistent with systematic study conducted in Ethiopia (23.25%) (30) and Kemba Woreda, Southern Ethiopia (23.3%) (31). However, the finding of the study is lower compared to the study conducted in Oromia region, Ethiopia (34.7%) (16), Wolaita zone, southern Ethiopia (43.2%) (32), Gedeo Zone, southern Ethiopia (29.9%) (19) Ashanti Region, Ghana (33.3%) (12), three West African countries (54.2%) in Côte d’Ivoire, (33.3%) in Niger and (30.8%) in Senegal (33). The variation may result from low purchasing power, food product affordability, and ignorance of the nutritional needs of babies and early children. This population also has distinct eating habits, with a tradition of preparing a limited variety of foods for the household. In addition, it seems that sharing food with siblings occurs frequently at home. The finding of the current study is also higher than study done in west Ethiopia (17.32%) (34), Southern Ethiopia (7.8%) (35), Northwest Ethiopia, rural Ghana (18.2%), Northwest Ethiopia (12.6%) (36), Ghana (15.3%) (37), India (8%) (38). The discrepancies may be due to the age difference as well as the fact that our study locations were urban area, where there may be a better understanding of a diverse diet. Recall, social desirability bias, and self-reported measures may also have an impact on the estimated dietary diversity.

Married women have a significant positive influence on dietary diversity improvements in infants. According to the study, infants whose mothers were married showed a higher likelihood of improved dietary diversity compared to those whose mothers were not married. The results highlight that out of 92 married women, 99.48% had improved dietary diversity for their infants, in contrast to only one non-married woman who had an improvement. The Kaplan–Meier survival curves provided further evidence, demonstrating that married mothers greatly increased the dietary variety of their infants compared to single moms (chi-square value for log-rank test = 8.58, p = 0.0034). This finding is similar with the study in Ethiopia (39). The association is consistent with other studies conducted in Ethiopia, indicating that married women are more likely to ensure better dietary diversity for their infants. The reasons behind this correlation could be multifaceted, including better household income stability, shared responsibilities, and possibly better access to nutritional information and support systems, aiding in providing a diverse diet for their children.

In the present study, infants whose mothers’ had secondary, technical and vocational, and higher educational status were more likely to improve dietary diversity which agreed with the findings of studies conducted in Ethiopia (10, 32, 36). The reasoning behind this correlation is that educated women tend to have a better understanding of the importance of dietary diversity for children. Higher educational status equips mothers with the knowledge regarding the nutritional needs of their infants, thus enabling them to provide a more varied and nutritious diet. Moreover, the Kaplan–Meier survival curve analysis further reinforces this finding, showing that mothers who completed formal education are significantly more likely to improve the nutritional diversity of their infants compared to those who did not, with a chi-square value for the log-rank test at 58.71 and a p-value of 0.0000.

The study found that infants from wealthier households exhibited higher dietary diversity. Women in the highest wealth quintile are found to be 3.5 times more likely to have improved dietary diversity in their infants compared to those in the lowest wealth quintile. This may be attributed to better access to a variety of food sources and the ability to purchase diverse foods. It suggests that economic factors play a crucial role in determining dietary options available to families. This finding is in line with several study conducted in Ethiopia (32, 40, 41). This correlation suggests that households with higher wealth indices tend to have better dietary diversity for their infants, probably due to increased food security and the ability to purchase a variety of foods. Therefore, addressing economic disparities and improving food security can be vital in enhancing dietary diversity for all infants, regardless of socioeconomic status.

The significant relationship between regular healthcare visits (both PNC and ANC) and dietary diversity improvements indicates that healthcare services are critical in promoting better feeding practices. The women who visits PNC were 1.7 more likely to improve the infant’s dietary diversity. This finding is supported the study done Ethiopia (30, 34, 41, 42). It could be because counseling on maternal and newborn feeding is one of the core activities at the PNC in our country, there is a positive impact on IYCF practice. Therefore, the content from the source suggests that healthcare workers providing nutrition counseling about balanced diets and appropriate Infant and Young Child Feeding (IYCF) practices during Postnatal Care (PNC) visits can positively affect dietary diversity improvements in infants. Pregnant women who visited ANC multiple times had a higher likelihood of improving the dietary diversity for their babies compared to those who did not visit ANC. This is consistent with findings from studies conducted in Ethiopia (37, 39, 42). This improvement is likely because antenatal care services enhance maternal counseling and community conversation programs on child feeding practices, thereby increasing mothers’ understanding of how to prepare and feed their children.

Strengths and limitations

The study benefits from a large sample size and includes a diverse range of participants from different geographic regions, socioeconomic backgrounds, and maternal education levels, enhancing the generalizability of the findings. The study on infant dietary diversity, based on secondary data, lacks crucial variables like cultural practice, nutrition knowledge, and access to diverse food sources. Since dietary diversity is often assessed through self-reported data from mothers regarding their infants’ food consumption over the previous day, there is a risk of recall bias. Mothers may forget or misreport the types and quantities of foods consumed, leading to inaccuracies in dietary diversity assessments. Participants may provide responses that they believe are more socially acceptable or favorable, particularly regarding dietary practices. This can lead to over reporting of dietary diversity or adherence to recommended feeding practices.

Conclusion

The study underscores the significance of determining the timing and identifying factors associated with dietary diversity improvements among infants in Ethiopia. The proportion of dietary diversity improvement among infants aged 6–12 months was 22%. Higher levels of maternal education were significantly associated with better dietary diversity. Infants from wealthier households exhibited higher dietary diversity. Regular healthcare visits were strongly linked to dietary diversity improvements. There is a need for increased awareness and education among mothers about the importance of dietary diversity for infants. The findings suggest that public health interventions should focus on enhancing maternal education, improving access to healthcare, and addressing economic barriers to food access. Programs that provide nutrition counseling during antenatal and postnatal care can be particularly effective in promoting better dietary practices among mothers, ultimately benefiting infant health. The study highlights that improving dietary diversity is not solely a matter of individual behavior but is influenced by broader socioeconomic and healthcare factors. Therefore, comprehensive strategies that integrate education, healthcare access, and economic support are essential for effectively addressing malnutrition and improving dietary diversity among infants. Establishing a robust system for monitoring dietary diversity and nutritional outcomes among infants can help identify gaps and inform future interventions. Researchers should consider conducting longitudinal studies to track dietary diversity changes over time and understand the long-term impacts of various interventions on infant nutrition. Incorporating qualitative research methods can provide deeper insights into the cultural beliefs, practices, and barriers that affect dietary diversity among infants. This can help tailor interventions to specific community needs.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by PMA Ethiopia received ethical approval from Addis Ababa University, College of Health Sciences (AAU/CHS) (Ref: AAUMF 01–009) and the Johns Hopkins University Bloomberg School of Public Health (JHSPH) Institutional Review Board (FWA00000387). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

FB: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. TN: Data curation, Formal analysis, Investigation, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. SD: Data curation, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. AT: Data curation, Investigation, Validation, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abbreviations

ANC, Antenatal Care; EA, Enumeration Area; GMP, Growth monitoring program; IYCF, Infant and Young Child Feeding; MDD, Minimum Dietary Diversity; MNH, Maternal newborn health; PMA, Performance Monitoring for Action; PNC, Postnatal Care; SNNP, Southern Nation Nationalities and People; UNICEF, United Nations International Children Emergency Fund; WHO, World Health Organization.

References

1. Indicators for assessing infant and young child feeding practices: definitions and measurement methods. Geneva: World Health Organization and the United Nations Children’s fund (UNICEF), (2021). Available at: https://creativecommons.org/licenses/by-nc-sa/3.0/igo (Accessed August 31, 2020).

Google Scholar

2. Guiding principles for complementary feeding of the breastfed child. Washington: Pan American Health Organization-World Health Organization; (2003). Available at: https://www.who.int/publications/i/item/9275124604 (Accessed August 31, 2020).

Google Scholar

3. World Health Organization. Guiding principles for feeding non-breastfed children 6–24 months of age. Geneva: World Health Organization (2005).

Google Scholar

4. Abera, L, Dejene, T, and Laelago, T. Prevalence of malnutrition and associated factors in children aged 6-59 months among rural dwellers of damot gale district, South Ethiopia: community based cross sectional study. Int J Equity Health. (2017) 16:111. doi: 10.1186/s12939-017-0608-9

PubMed Abstract | Crossref Full Text | Google Scholar

5. Hailu, D, Tilahun, A, and Dagnew, Y. Complementary feeding practice and its determinants among mothers with children 6 to 23 months of age in Finote Selam, Ethiopia. Pan Afr Med J. (2021) 40:14.

Google Scholar

6. World Health Organization. Infant and young child feeding. World Health Organization; (2023). Available from: www.who.int/news-room/fact-sheets/detail/infant-and-young-child-feeding (Accessed December 20, 2023)

Google Scholar

7. Sahiledengle, B, Mwanri, L, Petrucka, P, Kumie, A, Beressa, G, Atlaw, D, et al. Determinants of undernutrition among young children in Ethiopia. Sci Rep. (2022) 12:20945. doi: 10.1038/s41598-022-25160-y

PubMed Abstract | Crossref Full Text | Google Scholar

8. Minister of Health. Guideline for infant and young child feeding in emergencies for Ethiopia. (2021).

Google Scholar

9. UNICEF Ethiopia. Emergency nutrition response in Ethiopia. (2019). Available at: https://www.unicef.org/ethiopia/reports/emergency-nutrition-response-2019 (Accessed October 20, 2019).

Google Scholar

10. Muche, T, Desalegn, S, Ali, H, Mareg, M, Sisay, D, Birhane, M, et al. Minimum dietary diversity and its associated factors among infants and young children in Ethiopia: evidence from Ethiopian demographic and health survey (2016). Heliyon. (2022) 8:e08727. doi: 10.1016/j.heliyon.2022.e08727

PubMed Abstract | Crossref Full Text | Google Scholar

11. Khamis, AG, Mwanri, AW, Ntwenya, JE, and Kreppel, K. The influence of dietary diversity on the nutritional status of children between 6 and 23 months of age in Tanzania. BMC Pediatr. (2019) 19:518. doi: 10.1186/s12887-019-1897-5

PubMed Abstract | Crossref Full Text | Google Scholar

12. Opoku Agyemang, G, Attu, SS, Annan, RA, Okonogi, S, and Sakura, T. Factors associated with food consumption and dietary diversity among infants aged 6–18 months in Ashanti region, Ghana. PLoS One. (2023) 18:e0294864. doi: 10.1371/journal.pone.0294864

PubMed Abstract | Crossref Full Text | Google Scholar

13. Abeshu, MA, Lelisa, A, and Geleta, B. Complementary feeding: review of recommendations, feeding practices, and adequacy of homemade complementary food preparations in developing countries-lessons from Ethiopia. Front Nutr. (2016) 3:41. doi: 10.3389/fnut.2016.00041

PubMed Abstract | Crossref Full Text | Google Scholar

14. Ethiopian Public Health Institute (EPHI) [Ethiopia] and ICF. Ethiopia Mini demographic and health survey: key indicators. Rockville, Maryland, USA: EPHI and ICF (2019).

Google Scholar

15. Moga Lencha, F, Jebero Zaza, Z, Ena Digesa, L, and Mulatu, AT. Minimum dietary diversity and associated factors among children under the age of five attending public health facilities in Wolaita Soddo town, southern Ethiopia, 2021: a cross-sectional study. BMC Public Health. (2022) 22:2368. doi: 10.1186/s12889-022-14861-8

PubMed Abstract | Crossref Full Text | Google Scholar

16. Adugna, G, Egata, G, Fufa, DA, and Desta, DT. Effect of nutrition education on improving dietary diversity of children aged 6–23 months in Horo district, Oromia region, Ethiopia. Hum Nutr Metab. (2024) 35:200244. doi: 10.1016/j.hnm.2024.200244

PubMed Abstract | Crossref Full Text | Google Scholar

17. Sema, A, Belay, Y, Solomon, Y, Desalew, A, Misganaw, A, Menberu, T, et al. Minimum dietary diversity practice and associated factors among children aged 6 to 23 months in Dire Dawa city, eastern Ethiopia: a community-based cross-sectional study. Glob Pediatr Health. (2021) 8:2333794X21996630. doi: 10.1177/2333794X21996630

PubMed Abstract | Crossref Full Text | Google Scholar

18. Assefa, D, and Belachew, T. Minimum dietary diversity and associated factors among children aged 6–23 months in Enebsie Sar Midir Woreda, east Gojjam, north West Ethiopia. BMC Nutr. (2022) 8:149. doi: 10.1186/s40795-022-00644-2

PubMed Abstract | Crossref Full Text | Google Scholar

19. Molla, W, Adem, DA, Tilahun, R, Shumye, S, Kabthymer, RH, Kebede, D, et al. Dietary diversity and associated factors among children (6–23 months) in Gedeo zone, Ethiopia: cross-sectional study. Ital J Pediatr. (2021) 47:233. doi: 10.1186/s13052-021-01181-7

PubMed Abstract | Crossref Full Text | Google Scholar

20. Farah, S, Derese, T, and Abera, L. Minimum acceptable diet and associated factors among children aged 6–23 months in jig-Jiga, Somali region, eastern Ethiopia, 2022. BMC Nutr. (2024) 10:11. doi: 10.1186/s40795-023-00740-x

PubMed Abstract | Crossref Full Text | Google Scholar

21. Eshete, T, Kumera, G, Bazezew, Y, Mihretie, A, and Marie, T. Determinants of inadequate minimum dietary diversity among children aged 6–23 months in Ethiopia: secondary data analysis from Ethiopian demographic and health survey 2016. Agric Food Secur. (2018) 7:1–8. doi: 10.1186/s40066-018-0219-8

PubMed Abstract | Crossref Full Text | Google Scholar

22. Belay, DG, Aragaw, FM, Teklu, RE, Fetene, SM, Negash, WD, Asmamaw, DB, et al. Determinants of inadequate minimum dietary diversity intake among children aged 6–23 months in sub-Saharan Africa: pooled prevalence and multilevel analysis of demographic and health survey in 33 sub-Saharan African countries. Front Nutr. (2022) 9:894552. doi: 10.3389/fnut.2022.894552

PubMed Abstract | Crossref Full Text | Google Scholar

23. Alemu, C, Wudu, H, and Abeje, M. Determinants of nutritional status of children aged 6-59 months in the case of Itang special woreda, Gambella, Ethiopia. Sci Rep. (2024) 14:10500. doi: 10.1038/s41598-024-59507-4

PubMed Abstract | Crossref Full Text | Google Scholar

24. Mohammed, S, Worku, A, and Girma, E. Level of completion of a continuum of age-appropriate infant feeding practices and barriers among breastfeeding mothers in Ethiopia: a mixed methods study. BMC Public Health. (2024) 24:340. doi: 10.1186/s12889-024-17820-7

PubMed Abstract | Crossref Full Text | Google Scholar

25. Addis Ababa University School of Public Health and The Bill & Melinda Gates Institute for Population and Reproductive Health at the Johns Hopkins Bloomberg School of Public Health. PMA Ethiopia One-Year Postpartum Maternal and Newborn Health Technical Report, 2019-2021 Cohort. (2019–2021).

Google Scholar

26. Federal Democratic Republic of Ethiopia Ministry of Health. Health sector development Programme IV 2010/11–2014/15. Ethiopia: Ministry of health. (2010).

Google Scholar

27. Handebo, S, Sharma, R, Simireta, T, Addissie, H, Endalew, GB, Girma, E, et al. Social and behavior change communication competency among front-line healthcare system actors in Ethiopia: a cross-sectional study. BMC Public Health. (2024) 24:663. doi: 10.1186/s12889-024-18084-x

PubMed Abstract | Crossref Full Text | Google Scholar

28. Performance Monitoring for Action. Results from the first cohort’s six-months and one-year postpartum surveys. Ethiopia: PMA Ethiopia. (2021). 1019 p.

Google Scholar

29. Addis Ababa University School of Public Health and The Bill & Melinda Gates Institute for Population and Reproductive Health at The Johns Hopkins Bloomberg School of Public Health. Performance Monitoring for Action Ethiopia (PMAET Panel: Cohort 1-6-Week Follow-up Survey (Version 2.0), PMAET-Panel-C1-6wkFU). Ethiopia and Baltimore, Maryland, USA: Solomon Shiferaw, Assefa Seme, Linnea Zimmerman (2020).

Google Scholar

30. Temesgen, H, Negesse, A, Woyraw, W, and Mekonnen, N. Dietary diversity feeding practice and its associated factors among children age 6-23 months in Ethiopia from 2011 up to 2018: a systematic review and meta-analysis. Ital J Pediatr. (2018) 44:109. doi: 10.1186/s13052-018-0567-9

PubMed Abstract | Crossref Full Text | Google Scholar

31. AM, G. Dietary diversity feeding practice and determinants among children aged 6–23 months in Kemba Woreda, southern Ethiopia implication for public health intervention. J Nutr Food Sci. (2015) s13. doi: 10.4172/2155-9600.S13-003

PubMed Abstract | Crossref Full Text | Google Scholar

32. Sagaro, GG, and Alemayehu, A. Dietary diversity and associated factors among infants and young children in Wolaita zone, Southern Ethiopia. Sci J Clin Med. (2017) 6:53–9. doi: 10.11648/j.sjcm.20170604.12

Crossref Full Text | Google Scholar

33. Janmohamed, A, Baker, MM, Doledec, D, Ndiaye, F, ACL, K, and Leonce, A. Dietary diversity and associated factors among infants and young children in three west African countries. Front Public Health. (2024) 12:1386664. doi: 10.3389/fpubh.2024.1386664

Crossref Full Text | Google Scholar

34. Keno, S, Bikila, H, Shibiru, T, and Etafa, W. Dietary diversity and associated factors among children aged 6 to 23 months in Chelia District, Ethiopia. BMC Pediatr. (2021) 21:565. doi: 10.1186/s12887-021-03040-0

PubMed Abstract | Crossref Full Text | Google Scholar

35. Habtamu, T, Debebe, S, Solomon, T, Zerihun Tariku, E, and Gebeyehu, TS. Dietary diversity feeding practice and its associated factors among infants and young children aged between 6 and 23 months in Birbir town, Southern Ethiopia. J Nutr Metab. (2021) 2021:1–9. doi: 10.1155/2021/3806360

PubMed Abstract | Crossref Full Text | Google Scholar

36. Beyene, M, Worku, AG, and Wassie, MM. Dietary diversity, meal frequency and associated factors among infant and young children in Northwest Ethiopia: a cross-sectional study. BMC Public Health. (2015) 15:1007. doi: 10.1186/s12889-015-2333-x

PubMed Abstract | Crossref Full Text | Google Scholar

37. Wiafe, MA, Apprey, C, and Annan, RA. Dietary diversity and nutritional status of adolescents in rural Ghana. Nutr Metabol Insights. (2023) 16:11786388231158487. doi: 10.1177/11786388231158487

PubMed Abstract | Crossref Full Text | Google Scholar

38. Divya, N, Rajanish, KV, Malavika, J, and Sharma, A. The study of dietary diversity score in children between 6 months to 23 months: a hospital based study. Int J Contempor Pediatr. (2018) 5:1053. doi: 10.18203/2349-3291.ijcp20181541

Crossref Full Text | Google Scholar

39. Dejene Hailu, AT, and Dagnew, Y. Complementary feeding practice and its determinants among mothers with children 6 to 23 months of age in Finote Selam, Ethiopia. Pan Afr Med J. (2021) 40:14.

Google Scholar

40. Sisay, BG, Afework, T, Jima, BR, Gebru, NW, Zebene, A, and Hassen, HY. Dietary diversity and its determinants among children aged 6–23 months in Ethiopia: evidence from the 2016 demographic and health survey. J Nutr Sci. (2022) 2022:1–9.

Google Scholar

41. Derseh, NM, Shewaye, DA, Agimas, MC, Alemayehu, MA, and Aragaw, FM. Spatial variation and determinants of inappropriate complementary feeding practice and its effect on the undernutrition of infants and young children aged 6 to 23 months in Ethiopia by using the Ethiopian mini-demographic and health survey, 2019: spatial and multilevel analysis. Front Public Health. (2023) 11:2023. doi: 10.3389/fpubh.2023.1158397

PubMed Abstract | Crossref Full Text | Google Scholar

42. Worku, T, Gonete, KA, Muhammad, EA, and Atnafu, A. Sustainable under nutrition reduction program and dietary diversity among children’s aged 6–23 months, Northwest Ethiopia: comparative cross-sectional study. Int J Equity Health. (2020) 19:4. doi: 10.1186/s12939-019-1120-1

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: dietary diversity, improvements, infants, women, Ethiopia

Citation: Bayisa FS, Nimani TD, Darcho SD and Tekola A (2025) Time to dietary diversity of complementary feeding improvements and its associated factors among infants aged 6–12 months in Ethiopia: evidence from performance monitoring for action. Front. Nutr. 12:1451193. doi: 10.3389/fnut.2025.1451193

Received: 18 June 2024; Accepted: 10 January 2025;
Published: 24 January 2025.

Edited by:

Ayenew Negesse, Debre Markos University, Ethiopia

Reviewed by:

Sidra Jabeen, University of Agriculture, Faisalabad, Pakistan
Zelalem Aneley, Debre Markos University, Ethiopia
Dassalegn Daraje Jalata, Ethiopian Institute of Agricultural Research (EIAR), Ethiopia

Copyright © 2025 Bayisa, Nimani, Darcho and Tekola. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Feyisa Shasho Bayisa, ZmV5aXNhc2hhc2hvMTJAZ21haWwuY29t

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Research integrity at Frontiers

Man ultramarathon runner in the mountains he trains at sunset

94% of researchers rate our articles as excellent or good

Learn more about the work of our research integrity team to safeguard the quality of each article we publish.


Find out more