Food and nutritional insecurity remain a major public health concern worldwide, currently exacerbated by economic crises and climate disruptions [1][2]. Food insecurity is not limited to insufficient food intake but also includes the consumption of poor-quality and undiversified diets [3]. Low dietary diversity is a major determinant of malnutrition, particularly among women and children under five years of age [4]-[6]. Recent evidence from low- and middle-income countries has shown that higher dietary diversity is strongly associated with improved micronutrient adequacy, better nutritional status, and overall health outcomes among women and children [7]-[9].

Globally, approximately two billion people suffer from micronutrient deficiencies, a large proportion of which is linked to monotonous diets [10]. In sub-Saharan Africa, the prevalence of low dietary diversity remains high, affecting approximately 22.5% of the population in 2022 [10][11]. Recent studies conducted in sub-Saharan Africa have consistently reported low dietary diversity among women and children, particularly in rural settings where poverty, food insecurity, and limited access to diversified foods remain major challenges [7][12][13]. According to the 2023 IPC analysis, the Democratic Republic of the Congo (DRC) continues to be severely affected by chronic food and nutritional insecurity, with 40% of the population identified as vulnerable [14]. Studies conducted in 2014 and 2018 showed that more than 80% of children aged 6 - 23 months did not meet the minimum dietary diversity [15].

In Yangambi, difficult socioeconomic conditions directly contribute to inadequate and poorly diversified diets among women and children [14]. For women, minimum dietary diversity is defined as the consumption of at least five food groups, while for children, dietary diversity reflects the variety of food groups consumed during the previous 24 hours and is commonly used as an indicator of dietary quality and nutrient adequacy [4].

Although the relationship between various factors and dietary diversity has been documented at the international level and in several African countries, few studies have specifically explored the factors associated with minimum dietary diversity in local contexts in the DRC [12][16][17]. This study aims to analyze the factors associated with failure to achieve minimum dietary diversity among women and children under five years of age in the town of Yangambi, Democratic Republic of the Congo.

StudySetting: The study was conducted in the town of Yangambi, located in Tshopo Province, Democratic Republic of the Congo [18]. The town is predominantly agricultural, and the population mainly relies on subsistence farming, livestock rearing, fishing, and small-scale trade [12].

StudyPopulation: The study population consisted of women and children under five years of age living in households in Yangambi.

StudyPeriod: The study was conducted between January and April 2026.

StudyDesign: This was an analytical cross-sectional study aimed at analyzing the factors associated with failure to achieve minimum dietary diversity among women and children under five years of age in Yangambi.

Sampling: A two-stage cluster probability sampling method was used. Accessible villages were defined as villages that could be reached during the study period and where household enumeration was feasible. Villages were randomly selected from the list of eligible villages in Yangambi to constitute the study clusters. Within each selected cluster, households were selected using a systematic sampling procedure. In households with more than one eligible child under five years of age, one child was selected randomly to avoid intra-household clustering. A total of 614 households meeting the inclusion criteria were ultimately enrolled in the study.

SampleSize: The sample size was calculated using Cochran’s formula, based on a prevalence of 41% of chronic food insecurity reported by the IPC 2023 in the DRC, with a precision of 5% and a 95% confidence interval. After accounting for a design effect of 1.5 and a 10% non-response rate, the final sample size was 614 women from 614 households, each with one child under five years, distributed across 30 clusters of 20 households each.

InclusionandExclusionCriteria: Women and children under five years living in the selected households who provided consent to participate and whose household heads gave authorization were included in the study.

DataCollection: Data were collected using a structured questionnaire covering the sociodemographic, socioeconomic, environmental, and dietary characteristics of women and children under five years. Dietary diversity was assessed using a 24-hour dietary recall method. For women, minimum dietary diversity was defined according to the FAO Minimum Dietary Diversity for Women (MDD-W) guideline as the consumption of at least five out of ten food groups during the previous 24 hours. The food groups included: grains, roots and tubers; pulses; nuts and seeds; dairy products; meat, poultry and fish; eggs; dark green leafy vegetables; vitamin A-rich fruits and vegetables; other vegetables; and other fruits.

For children, dietary diversity was assessed based on the number of food groups consumed during the previous 24 hours. Infants aged 0 - 5 months were excluded from dietary diversity assessment because WHO recommendations promote exclusive breastfeeding during the first six months of life, making dietary diversity indicators not applicable to this age group. Therefore, dietary diversity analysis was restricted to children aged 6 - 59 months. In this study, consumption of at least five food groups was considered adequate dietary diversity among children. The dietary diversity assessment among children aged 24 - 59 months was performed to explore dietary patterns among all preschool children in the study area, where malnutrition remains highly prevalent.

DataProcessingandStatisticalAnalysis: Data were entered into Excel and analyzed using STATA version 13. Categorical variables were presented as frequencies and percentages, while quantitative variables were summarized as means ± standard deviations or medians with interquartile ranges. Associations between dependent and independent variables were assessed using binary logistic regression. Results were expressed as crude and adjusted Odds Ratios (OR) with 95% confidence intervals. Statistical significance was set at p < 0.05.

EthicalConsiderationsandConflictsofInterest: The study was approved by the Ethics Committee of the Faculty of Medicine, University of Kisangani. Administrative authorizations were obtained from local authorities. Informed consent was obtained from participants prior to data collection. Data were anonymized and handled confidentially. The authors declare no conflicts of interest.

Sociodemographic, socioeconomic, and environmental characteristics of the surveyed households.

Table 1 presents the sociodemographic, socioeconomic, environmental, and nutritional characteristics of the respondents. The mean age of household heads was 40.70 ± 11.71 years, and 88.27% of households were headed by men. More than half of the women did not achieve the minimum dietary diversity (55.5%), while this proportion reached 84.5% among children under five years of age. Infants aged 0 - 5 months were excluded from dietary diversity analyses because they were expected to be exclusively breastfed according to WHO recommendations.

Table 1. Sociodemographic, socioeconomic, environmental, and nutritional characteristics of the respondents.

Moderate or severe hunger affected 44.6% of households. More than half of the households had a monthly income below 75,000 Congolese francs (52.93%), with a median monthly income of 75,000 francs (interquartile range: 50,000 - 150,000 francs). Over half of the children under 18 years contributed to household income (57.49%), and the majority of households (87.79%) reported a decrease in their income compared to the previous year.

Agriculture was the main source of household income for half of the households (50.00%). Some households spent less than 20,000 Congolese francs per month on food (19.06%), with a median monthly food expenditure of 40,000 francs (interquartile range: 23,000 - 60,000 francs). Additionally, 37.13% of households primarily used their income for direct food consumption.

More than half of the households lacked access to safe drinking water (64.66%). The main sources of water supply were river water (35.83%) and pumped boreholes (35.34%). More than half of the women did not achieve minimum dietary diversity (55.54%), with a median dietary diversity score of 4 (interquartile range: 3 - 6; range: 2 - 9 food groups). Among children under five years, 84.53% did not meet the minimum dietary diversity, with a median score of 3 (interquartile range: 2 - 5; range: 1 - 7 food groups).

Regarding nutritional status, global acute malnutrition (moderate and severe acute malnutrition) affected 17.75% of women and 46.58% of children under five years of age. Multivariate logistic regression of factors associated with minimum dietary diversity among women.

Table 2 presents the factors associated with minimum dietary diversity among women after multivariate logistic regression. After adjustment, the educational level of the household head remained significantly associated with women’s minimum dietary diversity. Only women whose household heads had a higher education level were 22 times more likely to achieve minimum dietary diversity (aOR = 21.88; 95% CI: 4.13 - 115.97; p < 0.001) compared to those whose household heads had no formal education. However, primary (p = 0.416) and secondary (p = 0.066) education levels showed no significant association with women’s minimum dietary diversity after adjustment.

Table 2. Factors associated with minimum dietary diversity among women (multivariate logistic regression).

The marital status of the household head also remained associated with women’s minimum dietary diversity among polygamous households (p = 0.007), whereas separated (p = 0.552) and widowed (p = 0.562) statuses showed no significant association after adjustment. Women living in polygamous households were twice as likely to achieve minimum dietary diversity compared to those in monogamous households (aOR = 2.09; 95% CI: 1.23 - 3.56; p = 0.007).

Women’s age remained significantly associated with minimum dietary diversity after adjustment. Women aged 30 - 44 years, 45 - 59 years, and 60 years or older had respectively 2 times (aOR = 1.70; 95% CI: 1.06 - 2.73; p = 0.027), 3 times (aOR = 3.32; 95% CI: 1.62 - 6.78; p = 0.001), and 12 times (aOR = 11.52; 95% CI: 3.31 - 40.11; p < 0.001) higher odds of achieving minimum dietary diversity compared to women under 29 years of age.

Women’s physiological status remained strongly associated with minimum dietary diversity after adjustment. Pregnant and lactating women were three times more likely to achieve minimum dietary diversity than non-pregnant, non-lactating women (aOR = 3.41; 95% CI: 2.19 - 5.31; p < 0.001).

Household hunger index also remained significantly associated with women’s minimum dietary diversity (p < 0.001). Women living in households experiencing hunger had significantly lower odds of achieving minimum dietary diversity compared to those in households with little or no hunger (aOR = 0.23; 95% CI: 0.15 - 0.34; p < 0.001).

The type of drinking water source was also associated with women’s minimum dietary diversity after adjustment. However, the use of a pumped borehole showed no significant association after adjustment (p = 0.349). Multivariate logistic regression analysis of factors associated with children’s minimum dietary diversity.

Table 3 presents the factors associated with minimum dietary diversity among children under five years of age after multivariate logistic regression. The educational level and marital status of the household head remained significantly associated with children’s minimum dietary diversity (p < 0.001). Children living in households headed by separated individuals were significantly less likely to achieve minimum dietary diversity compared to those in monogamous households (aOR = 0.02; 95% CI: 0.002 - 0.23; p = 0.001).

Table 3. Factors associated with minimum dietary diversity among children under five: Multivariate logistic regression.

Women’s age remained significantly associated with children’s minimum dietary diversity after adjustment. Children of women aged 30 - 44 years had three times higher odds of achieving minimum dietary diversity compared to children of women under 29 years (aOR = 3.28; 95% CI: 1.21 - 8.93; p = 0.020). However, no significant association was observed for women aged 45 - 59 years after adjustment (p = 0.280).

Women’s physiological status remained significantly associated with children’s minimum dietary diversity after adjustment. Children of pregnant or lactating women were seven times more likely to achieve minimum dietary diversity compared to children of non-pregnant, non-lactating women (aOR = 7.41; 95% CI: 3.21 - 17.11; p < 0.001).

Child’s age was also significantly associated with minimum dietary diversity after adjustment. Children aged 24 - 59 months had six times higher odds of achieving minimum dietary diversity compared to those aged 6 - 11 months (aOR = 5.57; 95% CI: 1.64 - 18.92; p = 0.006). No significant association was found for children aged 12 - 23 months after adjustment (p = 0.165).

The estimated monthly amount spent on food remained significantly associated with children’s minimum dietary diversity. Children from households spending more than 50,000 Congolese francs per month on food were four times more likely to achieve minimum dietary diversity compared to those from households spending between 20,000 and 50,000 francs (aOR = 4.38; 95% CI: 1.08 - 17.68; p = 0.038).

Household hunger index remained significantly associated with children’s minimum dietary diversity after adjustment. Children from households experiencing hunger had significantly lower odds of achieving minimum dietary diversity compared to those from households with little or no hunger (aOR = 0.25; 95% CI: 0.12 - 0.53; p < 0.001).

The type of drinking water source was also associated with children’s minimum dietary diversity. Children from households using locally protected wells had nine times higher odds of achieving minimum dietary diversity compared to those using river water (aOR = 8.87; 95% CI: 2.92 - 26.92; p < 0.001). However, the use of a pumped borehole (p = 0.564) and women’s nutritional status (p = 0.078) were not significantly associated with children’s minimum dietary diversity after adjustment.

This study aimed to analyze the factors associated with failure to achieve minimum dietary diversity among women and children under five years of age in the town of Yangambi, Democratic Republic of the Congo. The results revealed a high prevalence of inadequate minimum dietary diversity among both women (55.54%) and children under five years (84.53%) in Yangambi. After adjustment using multivariate binary logistic regression, several variables remained significantly associated with failure to achieve minimum dietary diversity among women and children. These included the educational level of the household head, the marital status of the household head, women’s age, children’s age, the household hunger index, and the amount spent on food.

The high proportion of women and children who did not achieve minimum dietary diversity observed in this study is consistent with findings from several studies conducted in sub-Saharan Africa [5][6][12][18]. In Ethiopia, Sitotaw etal. [5] also reported a high proportion of women failing to meet minimum dietary diversity, while Nikièma et al. [6] in Burkina Faso observed low dietary diversity among children.

In the DRC, previous surveys have already shown that more than 80% of children aged 6 - 23 months did not meet the minimum dietary diversity [15]. These findings may reflect the difficult socioeconomic conditions in Yangambi, characterized by a strong reliance on subsistence agriculture, limited dietary diversification, and restricted access to micronutrient-rich foods.

This study revealed a high prevalence of failure to achieve minimum dietary diversity among women and children under five years of age in Yangambi. The main factors associated with this situation were the educational level of the household head, the marital status of the household head, women’s age, children’s age, women’s physiological status, the household hunger index, and the amount spent on food.

These findings highlight the need to strengthen nutritional interventions and food security programs targeting vulnerable households, through improvements in socioeconomic conditions, nutritional education, and access to diverse diets in rural areas of the Democratic Republic of the Congo.