Europe PMC
Nothing Special   »   [go: up one dir, main page]

Europe PMC requires Javascript to function effectively.

Either your web browser doesn't support Javascript or it is currently turned off. In the latter case, please turn on Javascript support in your web browser and reload this page.

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Abstract 


Malnutrition is responsible for over one-third of deaths among children under the age of five in low-and middle-income countries, including Ethiopia, and is largely preventable. The objective of this study was to determine the prevalence of undernutrition and its contributing factors among children aged 6-59 months in the Gedio zone of Southern Ethiopia. A community-based cross-sectional study design was used, and data were collected from 403 children and their mothers selected through random sampling technique. Anthropometric measures were converted to Z-scores using WHO-Anthro version 3.2.2 software. The prevalence of underweight, wasting, and stunting were 19.7% (95% CI 16-24%), 10% (95% CI 7-13%), and 49% (95% CI 44-54%) respectively. Low birth weight (AOR = 2.8, 95% CI (1.585-4.895), feeding non-diversified diet (AOR = 1.9, 95% CI (1.036-3.497), and being unvaccinated (AOR: 2.0; 95%CI (1.013-4.197) were significantly associated with being underweight. Family size of ≥ 5 (AOR = 4.4, CI (1.274-5.059), meal frequency of < 3 times per a day (AOR = 2.3, CI (1.037-5.024), and index birth interval of < 24 months (AOR = 2.2, CI (1.015-4.843) were significantly associated with wasting. Similarly, children aged ≥ 24 months (AOR = 2.8, CI (1.769-4.474), feeding non-diversified diet (AOR = 1.8, CI (1.153-2.894), total duration of breast-feeding < 12 months (AOR = 4.0, CI (2.547-6.429), and mothers BMI below 18.5 (AOR = 2.2, CI (1.328-3.718) were identified as a predictors of stunting. The study revealed significant levels of undernutrition, including underweight, wasting, and stunting, among children in the study area. Factors such as birth weight, dietary diversity score, and vaccine status were found to be strongly linked to underweight. Additionally, living in a large family, meal frequency, and birth interval were significantly associated with wasting. The age of the child, duration of breastfeeding, dietary diversity score, and maternal BMI status were also significantly linked to stunting. To address this issue, the study recommends promoting healthier feeding practices, dietary diversification, optimal breastfeeding, complete vaccination, wider birth intervals, and improving maternal nutrition to reduce undernutrition among children aged 6-59 months in the area. Implementing these measures could significantly improve the health of children in the study area.

Free full text 


Logo of scirepAboutEditorial BoardFor AuthorsScientific Reports
Sci Rep. 2024; 14: 22426.
Published online 2024 Sep 28. https://doi.org/10.1038/s41598-024-73182-5
PMCID: PMC11438870
PMID: 39341881

Undernutrition and its determinants among children aged 6–59 months in Southern Ethiopia

Associated Data

Data Availability Statement

Abstract

Malnutrition is responsible for over one-third of deaths among children under the age of five in low-and middle-income countries, including Ethiopia, and is largely preventable. The objective of this study was to determine the prevalence of undernutrition and its contributing factors among children aged 6–59 months in the Gedio zone of Southern Ethiopia. A community-based cross-sectional study design was used, and data were collected from 403 children and their mothers selected through random sampling technique. Anthropometric measures were converted to Z-scores using WHO-Anthro version 3.2.2 software. The prevalence of underweight, wasting, and stunting were 19.7% (95% CI 16-24%), 10% (95% CI 7–13%), and 49% (95% CI 44–54%) respectively. Low birth weight (AOR = 2.8, 95% CI (1.585–4.895), feeding non-diversified diet (AOR = 1.9, 95% CI (1.036–3.497), and being unvaccinated (AOR: 2.0; 95%CI (1.013–4.197) were significantly associated with being underweight. Family size of  5 (AOR = 4.4, CI (1.274–5.059), meal frequency of < 3 times per a day (AOR = 2.3, CI (1.037–5.024), and index birth interval of < 24 months (AOR = 2.2, CI (1.015–4.843) were significantly associated with wasting. Similarly, children aged  24 months (AOR = 2.8, CI (1.769–4.474), feeding non-diversified diet (AOR = 1.8, CI (1.153–2.894), total duration of breast-feeding < 12 months (AOR = 4.0, CI (2.547–6.429), and mothers BMI below 18.5 (AOR = 2.2, CI (1.328–3.718) were identified as a predictors of stunting. The study revealed significant levels of undernutrition, including underweight, wasting, and stunting, among children in the study area. Factors such as birth weight, dietary diversity score, and vaccine status were found to be strongly linked to underweight. Additionally, living in a large family, meal frequency, and birth interval were significantly associated with wasting. The age of the child, duration of breastfeeding, dietary diversity score, and maternal BMI status were also significantly linked to stunting. To address this issue, the study recommends promoting healthier feeding practices, dietary diversification, optimal breastfeeding, complete vaccination, wider birth intervals, and improving maternal nutrition to reduce undernutrition among children aged 6–59 months in the area. Implementing these measures could significantly improve the health of children in the study area.

Keywords: Underweight, Wasting, Stunting, Children aged 6–59 months, Gedio zone
Subject terms: Diseases, Health care, Risk factors

Introduction

Undernutrition arises from inadequate nutrient intake or absorption in the body and can present as acute undernutrition (wasting), chronic undernutrition (stunting), or a combination of both (underweight), along with deficiencies in essential micronutrients1. Undernutrition is the leading cause of mortality for nearly half of all under-five child deaths worldwide. It increases the chance of morbidity, puts children at risk of dying from common diseases, increases the severity of infections, and delays recovery2.

Globally, undernutrition contributes to nearly 3 million deaths annually, accounting for approximately 45% of all deaths in children under five years of age3. Despite efforts to reduce undernutrition, in 2022, globally 148.1 million, or 22.3% of children under the age of five were stunted and 45 million children under 5 (6.8%) were affected by wasting, of which 13.6 million (2.1%) were suffering from severe wasting4. Over the past two decades, undernutrition has emerged as a major child health concern in low-and-middle-income countries (LMICs) due to its strong association with child mortality5.

Childhood undernutrition is a prevalent issue in Africa, according to the 2023 Joint Child Malnutrition Estimates (JME) report. In 2022, 43% of all children under five affected by stunting lived in Africa, meaning that two out of five affected children are from this region. Additionally, more than one-quarter of all children under five affected by wasting also reside in Africa, and 22% of all children with severe wasting live there4. These conditions have both short-term and long-term consequences, impacting physical, intellectual, and emotional development, as well as increasing susceptibility to communicable and chronic diseases6.

Ethiopia, as a country in Sub-Saharan Africa, grapples with a high burden of malnutrition despite efforts to reduce hunger and undernutrition. The ongoing challenge of malnutrition in Ethiopia underscores the need for sustained public health interventions to address this pressing issue7. According to the Ethiopian Demographic and Health Survey (EDHS) 2016, approximately 10%, 24%, and 38% of children under five were found to be wasted, underweight, and stunted, respectively. In the southern region of Ethiopia, acute malnutrition affects 6% of children, while chronic malnutrition or stunting affects 39%8. To decline the high prevalence of under-five malnutrition; World Health Organization (WHO) is implementing a global nutrition-monitoring framework with six targets to be achieved by 20259.

According to previously conducted studies, various factors, including socio-demographic status, economic status, child and maternal health, feeding practices, and environmental conditions, have been identified as significant contributors to different forms of undernutrition among under-five children1016.

While previous studies in Ethiopia have focused on specific forms of undernutrition in various regions, there remains a knowledge gap in understanding the overall prevalence and determinants of undernutrition, particularly in densely populated areas. Moreover, no research has been conducted on undernutrition among children under five in our study area, the Gedio zone. Although there are studies from other densely populated regions, these earlier investigations did not differentiate between the three forms of undernutrition; instead, they treated them collectively. In contrast, our study successfully identifies the specific factors associated with each form—underweight, wasting, and stunting. This distinction will enable us to pinpoint the contributing factors for each type and ultimately aid in reducing overall undernutrition among children. Therefore, this study aims to assess the prevalence and factors associated with underweight, wasting, and stunting among children in the Gedio zone of southern Ethiopia. The findings of this study are crucial for developing effective interventions and guiding policymakers and health program implementers in addressing childhood undernutrition.

Methods

Study design, setting and period

Study area and period

The study was conducted in in the Gedio zone, Southern Ethiopia from June 01 to June 30, 2021. Gedio zone is found in southern part of Ethiopia located 370 km away from the capital city of Ethiopia, Addis Ababa and 95 km from the capital of Southern Ethiopia region, Hawassa city. The zone has a total area covering 5,890 square km and contains 8 districts.

Accordiong to 2007 Census conducted by the Central Statistical Agency of Ethiopia reports this Zone has a total population of 847,434, of whom 424,742 are men and 422,692 women; with an area of 1210.89 square kilometers, Gedio has a population density of 699.84. While 107,781 or 12.72% are urban inhabitants, in addition to the 107,781 urban inhabitants, there are also 39 individuals in Gedio who are pastoralists. A total of 179,677 households were counted in this Zone, which results in an average of 4.72 persons to a household, and 172,782 housing units17. Concerning health facilities in the zone, there are 1 referral hospital, 3 district hospitals, 35 health centers, and 146 health posts18.

Study design and population

A community-based cross-sectional study design was employed among children aged 6–59 months in the study area. The source populations for this study were all mothers with children aged 6–59 months in the Gedio Zone, southern Ethiopia. The study populations consisted of mothers with children aged 6–59 months residing in the selected households during the study period.

Eligibility criteria

This study included children aged 6–59 months and their mothers, provided they had lived in the study area for at least six months. However, mothers were excluded if they were severely ill, pregnant, experiencing generalized edema, or unable to respond during data collection. Additionally, children aged 6–59 months who had generalized edema at the time of data collection were also excluded.

Sample size determination and sampling procedures

A single population proportion formula was applied in this study, assuming a 95% confidence level and a marginal error of 5%. This approach aimed to determine the prevalence of under-nutrition, which was found to be 48.5% based on data from a previous national-level study conducted in Ethiopia13.

where n = least sample size needed to conduct the study, Z = standard normal distribution with (Z = 1.96), the confidence level of 95% and α = 0.05, P = prevalence or the population proportion from the previous study (P = 48.5%), d = is the tolerable margin of error for the study (0.05).

The minimum sample size needed for the study was 384, after adding, a 5% rate for non-respondents the sample size for the study was 403.

The sampling technique involved randomly selecting four out of the eight districts in the zone, each of which had three kebeles for administrative purposes. Population size, number of households, and total number of kebeles were obtained from each district’s administration office. Kebele and household lists were organized by house number for the selected districts. Following the rule of thumb, 30% of kebeles (1 kebele) from each district were selected. Subsequently, a fixed number of households were drawn from each kebele using a random sampling technique. After proportionally allocating the number of households in each kebele, the households were identified from the central place, particularly the kebele administrative offices. This process resulted in a total of 403 study participants, with 71, 148, 87, and 97 participants selected from Kochere district (Biloya kebele), Gedeb district (Halo hartume kebele), Dila zuria district (Tumticha kebele), and Chorso mazoria district (Kedida gubeta kebele) respectively.

Study variables

The study focused on undernutrition, specifically wasting, stunting, and underweight, as the dependent variables. Child-related factors, maternal & environmental health related factors, and socio-demographic factors were included in the study as the possible determinants of stunting, wasting, and underweight. Explanatory variables were classified using previously published articles1016,1921. The child-related factors includes, child’s gender, age of children, perceived birth weight, birth order number, duration of breastfeeding, colostrum feeding, exclusive breastfeeding, complementary feeding initiation, diet diversity score, child feeding frequency, immunization status, deworming status, dietary pattern, history of febrile illness, and diarrhea episodes. The maternal and environmental health related factors includes, Body Mass Index (BMI), Age of mother, antenatal care visits, family planning utilization, birth interval, iron folic acid supplementation, TT Vaccination drinking water source, Availability of toilet, and hand washing practice. The variables of socio-demographic factors includes, residence, education of mother, occupation of mother, education of father, occupation of father, family size, main source of family food, and wealth index.

Operational definition

Underweight: is a composite form of under-nutrition including elements of stunting and wasting and is defined by a weight-for-age <− 2SD from the median of the WHO reference population1.

Wasting: is a form of acute under-nutrition, and expressed as weight-for-height/length <  2SD from the median of the WHO reference population1.

Stunting: is a form of chronic under-nutrition, and expressed as height/length-for-age <  2SD from the median of the WHO reference population1.

Diet diversity score: Sum of the number of individual food groups consumed over 24-hour period. Child diet diversity score is expressed as inadequate dietary diversity (when individual consumed < 5of the 8 food groups including breast milk) and adequate dietary diversity (when the individual consumed  5 of the 8 food groups)22.

Household wealth index: The wealth index is a composite measure of a household’s cumulative living standards. It is calculated using easily collectible data regarding a household’s ownership of selected assets. These assets include radios, televisions, non-mobile telephones, computers, electricity, refrigerators, tables, chairs, beds with cotton or spring mattresses, electric mitad, kerosene lamps or pressure lamps, watches, mobile telephones, bicycles, motorcycles or scooters, animal-drawn carts, cars or trucks, bajaj, bank accounts, cows or bulls, other cattle, horses, donkeys or mules, camels, goats, sheep, chickens or other poultry, and beehives. Additionally, housing characteristics such as the number of members per sleeping room and building materials (including main floor material, main roof material, and main wall material) are considered. Access to utilities and infrastructure is also taken into account, including the source of drinking water, type of toilet facility, type of cooking fuel, ownership of a house, and ownership of land along with the area of land in square meters.Using principal component analysis, the factor scores are categorized into poor, medium, and rich classifications23.

Data collection tools and procedures

Data were collected by face-to-face interviews using a pre-tested and structured questionnaires adapted from related literatures and Ethiopian demographic and health survey assessment questionnaires for determining factors of nutrition status among children under-five years in Ethiopia2429. UNICEF SECA Electronic weight scale and portable stand meter with a sliding head plate were used to take anthropometric data. Eight health professionals were engaged in the data collection and four health workers who have above three-year experience in nutrition activity were enrolled to the supervision of daily data collection status. During data collection; face- to-face interviews on socio-economic data, child health, feeding practice, maternal health, and nutrition were conducted.

Anthropometrics data collection was made using length/height and weight measurements of the children and their mothers. Children over two years old were weighed using a UNICEF standard weight scale, with bulky clothing and shoes removed. Height was measured using a UNICEF standard wooden portable stand meter, with the sliding head plate, and participants’ shoes were also removed during the measurement30. For those children below two years, weight measurement was done by hanging the weight scale and length measurement in the horizontal position. The age of children was identified using vaccine cards and a local calendar system was used for those who have no vaccination cards.

Data quality control

The instrument was translated from English to local and then back to English by experts in the field who were unaware of the original English version. This was done to ensure reliable responses to the questions and maintain the integrity of the instrument’s meaning. Preceding the data collection, one-day training was given for data collectors and supervisors on techniques of sample identification and data collection. Prior to the actual data collection, 5% of participants were pre-tested to verify the effectiveness of the tool, with necessary corrections made accordingly. The chief investigator and supervisor inspected all questionnaires on-site for completeness and consistency of information collected, taking immediate action as needed.

Throughout the data collection period, onsite supervision was carried out daily by the supervisor and principal investigator. At the end of each day, they reviewed and crosschecked the questionnaires to ensure completeness, accuracy, and consistency, making any necessary corrections.

To maintain data integrity, the data collector managed the setup for providing and retrieving questionnaires from study participants. Structured interviews were conducted in a confidential and private setting to minimize bias. Simple frequencies and cross-tabulation were used to address missing values and outliers, cross-referencing with hard copies of the collected data.

Data processing and analysis

The data were coded, cleaned, edited and entered into Epi data version 3.1 to minimize logical errors and design skipping patterns. Then, the data were exported to SPSS software for analysis and finally data analyses was conducted with SPSS version 20. Descriptive statistics such as frequency, percentage, mean values, and standard deviations was computed for respondent characteristics and other measured study variables.

To evaluate the nutritional status of children, Z-scores for Weight-for-Height/Length (WH/LZ), Height-for-Age (HAZ), and Weight-for-Age (WAZ) were calculated using WHO Anthro version 3.2.2.1 software. Additionally, the mother’s nutritional status was assessed by determining her body mass index (BMI). Level of statistical significance was declared at p-value < 0.05. Variables that have a p-value of < 0.25 after binary logistic regression were fitted into a multivariable logistic regression model to identify the independent contribution of each variable. If the P- value is < 0.05 for a given variable after multivariable analysis, the variable is significant, it has an association with the outcome variable, and the degree of association between variables were measured using odds ratio.

Results

Socio-demographic and economic characteristics of study participants

Out of the intended 403 study participants, a complete response was obtained from 386 (96%) participants. More than half (59.1%) of the children fell into the 24–59 months age category, with a mean age of 27.11 months and a standard deviation of + 14.7 for both sexes. Approximately 40.2% of the mothers were aged between 20 and 34 years, with a mean maternal age of 24.7 and a standard deviation of + 3.3 years. The majority (94.6%) of women were married, and 96.5% of households were headed by a male. Two-thirds (62.7%) of respondents had a family size greater than five, and over one-third (37.6%) of households were classified as having a poor wealth index (see Table 1).

Table 1

Socio-demographic and economic characteristics of respondents in Gedio Zone, Southern Ethiopia, 2021 (n = 386).

VariableCategoryFrequency (%)
Age of child6–23 months158 (40.9)
24–59 months228 (59.1)
Age of the mother< 20 years166 (43.0)
20–34 years155 (40.2)
> 34 years65 (16.8)
Sex of childMale201 (51.7
Female185 (48.3)
ResidenceUrban60 (15.5)
Rural326 (84.5)
Education status of motherNo formal education155 (40.2)
Primary level167 (43.0)
Secondary & above65 (16.8)
Education status of FatherNo formal education95 (24.6)
Primary level210 (54.4
Secondary & above81 (21.0)
Occupation of motherHousewife262 (67.8)
Employee76 (19.8)
Private work48 (12.4)
Family size< 5 family144 (37.3)
 5 family242 (62.7)
No of < 5 children1-child230 (59.6)
 2 children156 (40.4)
The main source of family foodOwn production251 (65.0)
Purchase110 (28.5)
Other25 (6.5)
Household Wealth IndexPoor145 (37.6)
Medium139 (36.0)
Rich102 (26.4)

Child health and caring practices

Of the total participants in the study, around one-third (27.2%) of children were delivered in health facilities, and over two-thirds were not exclusively breastfed. Approximately 63.5% of children had evidence of being fully vaccinated. Diarrheal disease, followed by acute respiratory infections (ARIs), was the most frequent child health problem in the study area, affecting 17% and 15.4% of children in the past two weeks (Table 2).

Table 2

Child health and caring practices among the respondents in Gedio Zone, Southern Ethiopia, 2021 (n = 386).

VariablesCategoryFrequency (%)
Place of birthHealth facility105 (27.2)
Home281 (72.8)
Perceived birth weightSmall143 (37.0)
Average196 (50.8)
Bigger than average47 (12.2)
History of colostrum feedingYes160 (41.5)
No226 (58.5)
Exclusive breastfedYes125 (32.4)
No261 (67.6)
Duration of breastfeeding< 12 months161 (41.7)
 12 months225 (58.3)
The age of complementary feeding startedAt 6 month146 (37.8)
< 6 month55 (14.3)
> 6 month185 (47.9)
Diet diversity score< 5 food groups231 (59.8)
 5 food groups155 (40.2)
Meal frequency< 3 meals per day120 (31.1)
 3 meals per day266 (68.9)
Method of child feedingBottle238 (61.7)
Cup and/or spoon67 (17.3)
Hand81 (21.0)
Vaccination statusNot started53 (13.7)
Up to date88 (22.8)
Completed245 (63.5)
Vitamin-A supplemented in the last 6 monthsYes254 (65.8)
No132 (34.2)
Deworming given in the last 6 monthsYes208 (53.9)
No178 (46.2)
History of acute respiratory illness in the last two weeksYes59 (15.3)
No327 (84.7)
History of diarrheal disease in the last two weeksYes66 (17.1)
No320 (82.9)

Dietary diversity score

Out of the total children, 155 (40.2%) had a diverse diet (consumed > 5 out of the 8 food groups) in the previous 24 h, while 231 (59.8%) had a limited diet (consumed < 5 out of the 8 food groups). The most commonly consumed food groups among the children were grains, roots, and tubers (92.5%), including the locally prevalent ‘Enset’, as well as dairy products (54.9%), followed by flesh foods such as meat (46%). Approximately one-third of the children (32.6%) were reported to be breastfeeding in the previous 24 h. Conversely, the least consumed food groups were Vitamin-A rich fruits and vegetables (22.6%) and other fruits and vegetables (18.9%) (Fig. 1).

An external file that holds a picture, illustration, etc.
Object name is 41598_2024_73182_Fig1_HTML.jpg

Proportion of each food group consumption of children aged 6–59 months in Gedio Zone, Southern Ethiopia, 2021 (n = 386).

Maternal health and environmental factors

In terms of maternal health and environmental factors, 58.3% of the mothers had a birth interval of > 24 months for the index pregnancy, and 78.2% had received antenatal care (ANC) follow-up. Additionally, 59.3% of the mothers had a normal BMI. The majority of sampled families (60.9%) used an unsafe water source, and only 32% had access to improved latrines (Table 3).

Table 3

Maternal health and environmental conditions among the respondents in Gedio Zone, Southern Ethiopia, 2021 (n = 386).

VariablesCategoryFrequency (%)
The birth interval of index pregnancy*< 24 months89 (23.1)
 24 months225 (58.3)
History of ANC during the index pregnancyYes302 (78.2)
No84 (21.8)
TT-vaccination statusUnvaccinated167 (43.3)
TT177 (19.9)
TT2 plus142 (36.8)
Folic acid intake during index pregnancyYes209 (54.1)
No177 (45.9)
Maternal BMI statusNormal weight229 (59.3)
Underweight109 (28.2)
Overweight48 (12.4)
Ever used family planningYes244 (63.2)
No142 (36.8)
Hand washing practice during food preparationYes156 (40.5)
No230 (60.5)
Source of drinking water**Safe151 (39.1)
Unsafe235 (60.9)
Availability of Improved latrine***Yes114 (29.5)
No272 (70.5)
Ever heard of safe nutrition informationYes312 (80.8)
No74 (19.2)

*Respondent’s with 1st birth was not included.

**Safe source includes tap water, public tap, and protected well and the unsafe source includes unprotected spring, well, and river.

***Improved latrine includes any non-shared toilet of: flush/pour flush toilets, septic tanks, and pit latrines; ventilated improved pit latrines; pit latrines with slabs.

Magnitude of undernutrition

The study participants showed a prevalence of under-nutrition, with 19.7% (95% CI 16-24%) classified as underweight, 10% (95% CI 7-13%) as wasted, and 49% (95% CI 44-54%) as stunted. Among the children, severe underweight (WAZ <  3SD), severe wasting (WHZ <  3SD), and severe stunting (HAZ <  3SD) were prevalent at rates of 9.1%, 5.7%, and 29.5%, respectively. Furthermore, 4.6% of children exhibited both wasting and stunting simultaneously (Fig. 2).

An external file that holds a picture, illustration, etc.
Object name is 41598_2024_73182_Fig2_HTML.jpg

Proportion of under-nutrition among children aged 6–59 months in Gedio Zone, Southern Ethiopia, 2021 (n = 386).

Magnitude of Undernutrition in relation to age and sex category of children

The study also examined the prevalence of undernutrition in different age and sex categories. Male children aged 6–59 months exhibited a higher prevalence of underweight and stunting, with rates of 10.6% and 26.4%, respectively. In contrast, female children in the same age group showed a greater prevalence of wasting at 5.4%. When considering age groups, children aged 24–59 months had higher rates of all three forms of undernutrition compared to those aged 6–23 months, with prevalence rates of 13.5% for underweight, 6.2% for wasting, and 33.4% for stunting (Table 4).

Table 4

Prevalence of under-nutrition in sex and age groups among children aged 6–59 months in the Gedio Zone, Southern Ethiopia, 2021 (n = 386).

VariablesCategoryUnderweight (%)Wasting (%)Stunting (%)
SexMale10.64.726.4
Female9.15.422.5
Age of child6–23 months6.23.915.5
24–59 months13.56.233.4

Determinants of undernutrition among children aged 6–59 months

The findings of this study indicated that children who were perceived to have had a small weight at birth were approximately three times more likely (AOR = 2.8, 95% CI (1.585–4.895)) to experience underweight compared to those with an average weight at birth. Additionally, children who consumed an inadequate diversified diet had twice the risk (AOR = 1.9, 95% CI (1.036–3.497)) of developing underweight compared to those who consumed a sufficiently diversified diet. Unvaccinated children were also found to be twice as likely (AOR = 2.0, CI (1.024–4.235)) to be underweight compared to children who completed their vaccinations (Table 5).

Table 5

Factors associated with underweight among children aged 6–59 months in the Gedio Zone, Southern Ethiopia, 2021 (n = 386).

VariablesUnderweightCOR ( 95% CI)AOR ( 95% CI)P-value
Yes (N/%)No (N/%)
Age of mother
 <20 years41 (53.9)125 (40.3)1.8 (1.022-3.14)*1.5 (0.84-2.78)
 20-34 years24 (31.6)131 (42.3)11
 >34 years11 (14.5)54 (17.4)1.1 (0.509-2.43)1.(0.48-2.47)
Perceived birthweight
 Small47 (61.8)96 (31.0)3.3 (1.940-5.79)*2.8 (1.59-4.89)**0.001
 Average25 (32.9)171 (55.2)11
 Bigger than average4 (5.3)43 (13.9)0.6 (0.210-1.93)0.7 (0.22-2.12)
Diet diversity score
 <5 food groups57 (75.0)174 (56.1)2.3 (1.332-4.13)*1.9 (1.04-3.49)**0.024
 >5 food groups19 (25.0)136 (43.9)11
Vaccination status
 Not started18 (23.7)35 (11.3)2.4 (1.253-4.66)*2.0 (1.03-4.24)**
 Up to date15 (19.7)73 (23.5)0.9 (0.506-1.84)0.9 (0.46-1.82)0.037
 Completed43 (56.6)202 (65.2)11
Improved Latrine
 Yes33 (43.4)81 (26.1)11
 No43 (56.6)229 (73.9)0.46 (0.27-0.77)*0.6 (0.34-1.05)

In terms of wasting, children living in families with more than four members were at a significantly higher risk of developing wasting, with a four-fold increase compared to those living in smaller families (AOR = 4.4, CI (1.274–5.059)). Children who had a meal frequency of less than three times per day were also at a higher risk of developing wasting, with a 2.3-fold increase compared to those who had a higher meal frequency (AOR = 2.3, CI (1.037–5.024)). Children born within less than 24 months of the index birth interval were also at an increased risk of developing wasting, with a 2.2-fold increase compared to their counterparts (AOR = 2.2, CI (1.015–4.843)) (Table 6).

Table 6

Factors associated with wasting among children aged 6–59 months in Gedio Zone, Southern Ethiopia, 2021 (n = 386).

VariablesWastingCOR (95% CI )AOR ( 95% CI)P-values
Yes (N/%)No (N/%)
Education status of the father
 Uneducated12 (30.8)83 (23.9)3.7 (1.02-13.83)*3.5 (0.72-16.96)
 Primary level24 (61.5)186 (53.6)3.3 (0.98-11.46)3.7 (0.82-17.25)
 Secondary & above3 (7.7)78 (22.5)11
Family size0.019
 <5 family4 (10.3)140 (40.3)11
 >5 family35 (89.7)207 (59.7)2.2 (1.12-4.25)*4.4 (1.27-5.06)**
Vaccination status
 Not started10 (25.6)43 (12.4)2.7 (1.20-6.36)*1.3 (0.48-3.74)
 Up to date10 (25.6)78 (22.5)1.5 (0.68-3.42)1.5 (0.61-3.82)
 Completed19 (48.7)226 (65.1)11
Meal frequency
 <3 meals/day21 (53.8)99 (28.5)2.9 (1.49-5.72)*2.3 (1.04-5.02)**0.040
 >3 meals/day18 (46.2)248 (71.5)11
Birth Interval of the index pregnancy
 <24 months15 (46.9)74 (26.2)2.48 (1.18-5.22)*2.2 (1.02-4.84)**0.046
 >24 months17 (53.1)208 (73.8)11

Regarding stunting, children over the age of 24 months were at a significantly higher risk of being stunted, with a 2.8-fold increase compared to those aged 6–23 months (AOR = 2.8, CI (1.769–4.474)). Children who had an inadequate diversified diet had an 80% increased odds of developing stunting compared to those who had an adequate diversified diet (AOR = 1.8, CI (1.153–2.894)). Children who were breastfed for less than 12 months were also at a significantly higher risk of developing stunting, with a four-fold increase compared to those who were breastfed for a longer duration (AOR = 4.0, CI (2.547–6.429)). Additionally, stunting was found to be twice as likely in children whose mothers had a BMI in the underweight range compared to those with normal BMI range (AOR = 2.2, CI (1.328–3.718)) (Table 7).

Table 7

Factors associated with stunting among children aged 6–59 months in Gedio Zone, Southern Ethiopia, 2021 (n = 386).

VariablesStuntingCOR (95% CI)AOR ( 95% CI)P-value
Yes (No/%)No (N/%)
Age of child
 6–23 months60 (31.7)98 (49.7)11
 24–59 months129 (68.3)99 (50.3)2.13 (1.40-3.22)*2.8 (1.769-4.47)*0.001
Diet diversity score
 <5 food groups124 (65.6)107 (54.3)1.6 (1.06-2.42)*1.8 (1.153-2.89)**0.010
 >5 food groups65 (34.4)90 (45.7)11
Duration of breastfeeding0.000
 <12 months107 (56.6)54 (27.4)3.45 (2.26-5.28)*4.0 (2.55-6.43)**
 >12 months82 (43.4)143 (72.6)11
Ever used family planning
 Yes109 (57.7)135 (68.5)11
 No80 (42.3)62 (31.5)1.3 (1.05-2.43)*1.4 (0.87-2.17)
Maternal BMI
 Normal weight100 (52.9)129 (65.5)11
 Underweight71 (37.6)38 (19.3)2.4 (1.50-3.86)*2.2 (1.33-3.72)**0.002
 Overweight18 (9.5)30 (15.2)0.77 (0.41-1.46)0.8 (0.38-1.54)

NB: *AOR is significant at a P-value of < 0.05, **COR is significant at a P-value of < 0.25.

Discussion

This study found that underweight, wasting, and stunting were prevalent at rates of 19.7% (95% CI 16-24%), 10% (95% CI 7-13%), and 49% (95% CI 44-54%), respectively. When compared to the national rates reported in the Ethiopian DHS 2016, the study identified a slightly lower prevalence of underweight (19.7%), a similar prevalence of wasting (10%), and a higher prevalence of stunting (49%)31.The observed disparities could be attributed to differences in sampling methods and sample sizes.

The prevalence of stunting (49%) in the study area was notably higher than the regional average for Southern Ethiopia (39%)24. However, this finding is consistent with the prevalence of wasting (47.6%) reported in the Bule Hora district of Southern Ethiopia, which may reflect similar socio-economic conditions and age groups of the study population10. The prevalence of underweight, wasting, and stunting in the current study was lower, similar, and higher, respectively, compared to sub-Saharan Africa’s average (25%, 10%, and 39%, respectively). However, the prevalence of stunting was consistent with a previous study in East Africa (48%)32, suggesting that differences in socio-economic, cultural, sampling, and methodological factors may explain the variations.

According to this study, the three common forms of under-nutrition (stunting, wasting, and underweight) were significantly associated with different factors that varied by the type of under-nutrition. Underweight was associated with birth weight, dietary feeding, and vaccine status. Wasting was associated with family size, meal frequency, and birth interval. Stunting was associated with the age of the child, diet diversity score, duration of breastfeeding, and the mother’s BMI status.

The analysis of this study revealed that low perceived birth weight was a risk factor for under-nutrition among children, as those with low birth weight were more likely to be underweight. This finding is consistent with studies conducted in Ghana11 and Indonesia33, which reported a high risk of underweight among children with low birth weight. This suggests that low birth weight children require extra nutrition and care to achieve normal weight compared to those with normal birth weight.

Additionally, the study revealed that insufficient dietary diversity is a significant risk factor for under-nutrition, specifically underweight and stunting. Children who consume less than five of the eight major food groups are more likely to develop these conditions compared to those who consume five or more food groups. This finding is consistent with previous studies conducted in Ethiopia, Tanzania, and India12,34,35. The lack of dietary diversity can lead to macro and micro-nutrient deficiencies, resulting in under-nutrition, likely due to poor access to diverse foods and unequal food distribution within households10,20,21.

Furthermore, the study findings indicate that a child’s vaccination status is a significant predictor of being underweight. This observation is consistent with previous studies conducted in various regions, including northwest Ethiopia25, Ethiopian Somalia region27, and rural Bangladesh29. Unvaccinated children are more susceptible to vaccine-preventable diseases such as diarrhea and respiratory tract infections, which can cause nutrient depletion in the body and eventually lead to malnutrition.

The study’s results indicate that a larger family size is associated with an increased risk of wasting. Specifically, living with five or more family members was identified as a significant predictor of wasting. This observation aligns with several prior studies conducted in different regions, including northwest Ethiopia25, Ethiopian Somalia region27, Sudan36, and Pakistan37. The reason for this association may be that as the size of a family grows, the likelihood of implementing appropriate feeding practices for children and ensuring access to a nutritious diet decreases.

Furthermore, the study found that children who consumed less than three meals per day were at a higher risk of developing wasting. This discovery is consistent with previous research conducted in west Gojam, Ethiopia26. Inadequate meal consumption can hinder a child from receiving the necessary daily energy intake for proper nourishment. Additionally, the study revealed that children with birth intervals of less than 24 months were also at a higher risk of developing wasting. This finding is in line with research conducted in India35, and aligns with WHO’s recommendations for child feeding9. This is because a child with a short birth interval may not receive the recommended dietary intake due to competition with the preceding child.

Moreover, the latest research indicates that the likelihood of stunting increases as a child grows older, which is consistent with previous studies in Ethiopia24 and Kenya21. Children aged 12–23 months and older were found to have the highest risk of stunting. Similarly, a study conducted on trends of stunting from 1990 to 2020 in developing countries also showed similar findings38.

The study found that the duration of breastfeeding played a significant role in predicting stunting, as children breastfed for less than 12 months exhibited a notable association with stunting. This finding is in line with evidence from a study conducted in Ethiopia28 and aligns with WHO recommendations for child feeding9. Furthermore, the research indicated that children born to underweight mothers had an elevated risk of stunting. Previous studies have also demonstrated a higher likelihood of stunting among mothers with a low BMI6,28), potentially attributed to the long-term nutritional status of mothers before pregnancy impacting the early growth and development of their children, thereby contributing to the risk of stunting.

Limitations of the study

It is difficult to establish a cause-effect relationship between the predictors and outcome variable for it is a cross-sectional study design. Recall bias is another limitation that might affect the accuracy of the data.

Conclusion

The present study’s findings reveal a concerning prevalence of under-nutrition, including underweight, wasting, and stunting, within the study area. The research has identified several key factors associated with under-nutrition among children in this context. Specifically, birth weight, dietary feeding practices, and vaccine status were found to be correlated with underweight, while family size, meal frequency, and birth interval were linked to wasting. Additionally, stunting was significantly associated with the child’s age, diet diversity score, duration of breastfeeding, and maternal body mass index.

In light of these findings, it is evident that a multi-faceted approach is needed to address the issue of under-nutrition among children aged 6–59 months in the study area. The study recommends promoting healthier child feeding practices, encouraging optimal dietary diversification and meal frequency, prioritizing optimal breastfeeding, ensuring complete vaccination of children, advocating for wider birth intervals, and improving maternal nutritional status as crucial steps to mitigate under-nutrition among this vulnerable population.

By implementing these recommended measures, there is potential to make a significant impact on reducing the prevalence of under-nutrition and improving the overall health and well-being of children in the study area.

Acknowledgements

Authors would like to thank the Gedio zone health office and all selected study area health offices for their cooperation and for providing relevant information. Authors also would also like to thank all the staff of our field office for their incredible support throughout the study. Finally, authors thanked data collectors, supervisor, data clerks, and head of health institutions.

Abbreviations

ANCAntenatal Care
AORAdjusted Odds Ratio
ARIAcute Respiratory Infection
BMIBody Mass Index
CORCrude Odds Ratio
CSACentral Statistical Agency
EDHSEthiopia Demographic and Health Survey
NNPNational Nutrition Program
SDStandard Deviations
TTTetanus Toxoid
UNICEFUnited Nations International Children’s Fund
WFAWeight-For-Age
WFHWeight-For-Height
WFLWeight-For- Length
WHOWorld Health Organization

Author contributions

Conceptualization: M.Y., T.Z., T.D., H.M., T.W., M.H., N.K. Data curation: T.Z., T.D., H.M., T.W. Formal Analysis: T.Z., H.M., M.H., N.K. Investigation: M.Y., T.Z., T.D., H.M., T.W. Methodology: M.Y., T.D., H.M., M.H., N.K. Project Administration: T.Z., T.D., H.M., T.W. Resources: M.Y., T.Z., T.D., H.M., T.W., M.H., N.K. Software: M.Y., T.Z., T.D., N.K. Supervision: M.Y., T.Z., T.W., M.H., N.K. Validation: T.Z., T.D., H.M., T.W., N.K. Visualization: M.Y., T.D., T.W., M.H., N.K. Writing-original draft: M.Y. Writing-review and editing: T.Z., M.Y., T.D., H.M., T.W., M.H., N.K.

Funding

Funding agencies do not have a role in the publication of the paper.

Data availability

The data used to support the findings of this study are available from the corresponding author upon request.

Declarations

Consent for publication

All information used in this study was collected with the consent of all participants of the study and all the authors have prepared the manuscript and have agreed to publish it in this journal.

Competing interests

The authors declare no competing interests.

Ethical approval and consent to participate

In order to conduct this research, the authors tried to address the Declaration of Helsinki Ethical principles for medical research. First, ethical clearance was obtained from Rift Valley University, Hawassa campus Institutional Review Board (IRB) with IRB protocol number of RVU-IRB-068/2021. A formal letter for permission and support was gained from the Gedio zone and selected district health offices and submitted to respective kebele offices and health posts in which the study was conducted. Written informed consent was obtained from all participant to insure willingness after brief clarification of the study’s purpose. Information was gathered anonymously by assuring confidentiality during the study period.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

1. Organization, W. H. WHO child growth standards and the identification of severe acute malnutrition in infants and children: joint statement by the World Health Organization and the United Nations Children’s Fund (2009). [Abstract]
2. UNICEF. UNICEF Data. Monitoring the situation of children and women: Malnutrition. UNICEF for every child 2021. https://data.unicef.org/topic/nutrition/malnutrition/
3. Liu, L. et al. Global, regional, and national causes of child mortality: An updated systematic analysis for 2010 with time trends since 2000. The Lancet379(9832), 2151–2161 (2012). [Abstract] [Google Scholar]
4. UNICEF, WHO, and & Bank, T. W. Levels and Trends in Child Malnutrition: UNICEF/WHO/World Bank Group Joint Malnutrition Estimates (UNICEF and WHO, 2023).
5. Das, J. K., Salam, R. A., Saeed, M., Kazmi, F. A. & Bhutta, Z. A. Effectiveness of interventions for managing acute malnutrition in children under five years of age in low-income and middle-income countries: A systematic review and meta-analysis. Nutrients (2020). [Europe PMC free article] [Abstract]
6. Dewey, K. G. & Begum, K. Long-term consequences of stunting in early life. Matern. Child Nutr.7, 5–18 (2011). [Europe PMC free article] [Abstract] [Google Scholar]
7. Dessie, Z. B. et al. Maternal characteristics and nutritional status among 6–59 months of children in Ethiopia: Further analysis of demographic and health survey. BMC Pediatr.19(1), 1–10 (2019). [Europe PMC free article] [Abstract] [Google Scholar]
8. Zewudie, A. T., Gelagay, A. A. & Enyew, E. F. Determinants of under-five child mortality in Ethiopia: Analysis using Ethiopian demographic health survey. Int. J. Pediatr.2020(1), 7471545 (2016). [Europe PMC free article] [Abstract] [Google Scholar]
9. Organization, W. H. Global nutrition monitoring framework: Operational guidance for tracking progress in meeting targets for 2025 (2017).
10. Asfaw, M. et al. Prevalence of undernutrition and associated factors among children aged between six to fifty nine months in Bule Hora district, South Ethiopia. BMC Public Health15, 1–9 (2015). [Europe PMC free article] [Abstract] [Google Scholar]
11. Novignon, J. et al. Socioeconomic-related inequalities in child malnutrition: Evidence from the Ghana multiple indicator cluster survey. Health Econ. Rev.5, 1–11 (2015). [Europe PMC free article] [Abstract] [Google Scholar]
12. Mohammed, S. H. et al. The state of child nutrition in Ethiopia: An umbrella review of systematic review and meta-analysis reports. BMC Pediatr.20, 1–10 (2020). [Europe PMC free article] [Abstract] [Google Scholar]
13. Endris, N., Asefa, H. & Dube, L. Prevalence of malnutrition and associated factors among children in rural Ethiopia. Biomed. Res. Int.2017(1), 6587853 (2017). [Europe PMC free article] [Abstract] [Google Scholar]
14. Mahumud, R. A. et al. Distribution of wealth-stratified inequalities on maternal and child health parameters and influences of maternal-related factors on improvements in child health survival rate Bangladesh. J. Child. Health Care25(1), 93–109 (2021). [Abstract] [Google Scholar]
15. Pravana, N. K. et al. Determinants of severe acute malnutrition among children under 5 years of age in Nepal: A community-based case–control study. BMJ Open7(8), e017084 (2017). [Europe PMC free article] [Abstract] [Google Scholar]
16. Sarker, A. R. et al. Inequality of childhood undernutrition in Bangladesh: A decomposition approach. Int. J. Health Plan. Manag.35(2), 441–468 (2020). [Abstract] [Google Scholar]
17. Census : Southern Southern Nations, Nationalities, and Peoples’ Region Archived November 13, 2012, at the Wayback Machine, Table 2.1, 2.4, 2.5, 3.1 (2007). Table 3.2 and 3.4.
18. Gedio zone health bureaue report 2021.
19. Sheikh, N. et al. Infant and young child feeding practice, dietary diversity, associated predictors, and child health outcomes in Bangladesh. J. Child Health Care24(2), 260–273 (2020). [Abstract] [Google Scholar]
20. Bain, L. E. et al. Malnutrition in sub-saharan Africa: Burden, causes and prospects. Pan Afr. Med. J.15(1) (2013). [Europe PMC free article] [Abstract]
21. Olack, B. et al. Nutritional status of under-five children living in an informal urban settlement in Nairobi, Kenya. J. Health Popul. Nutr.29(4), 357 (2011). [Europe PMC free article] [Abstract] [Google Scholar]
23. Vyas, S. & Kumaranayake, L. Constructing socio-economic status indices: How to use principal components analysis. Health Policy Plan.21(6), 459–468 (2006). [Abstract] [Google Scholar]
24. Yimer, G. Malnutrition among children in Southern Ethiopia: Levels and risk factors. Ethiop. J. Health Dev.14(3) (2000).
25. Mekonnen, H., Tadesse, T. & Kisi, T. Malnutrition and its correlates among rural primary school children of Fogera District, Northwest Ethiopia. J. Nutr. Disord. Ther.12, 002 (2013). [Google Scholar]
26. Motbainor, A., Worku, A. & Kumie, A. Stunting is associated with food diversity while wasting with food insecurity among underfive children in East and West Gojjam Zones of Amhara Region, Ethiopia. PLoS ONE10(8), e0133542 (2015). [Europe PMC free article] [Abstract] [Google Scholar]
27. Ma’alin, A. et al. Magnitude and factors associated with malnutrition in children 6–59 months of age in Shinille Woreda, Ethiopian Somali regional state: A cross-sectional study. BMC Nutr.2, 1–12 (2016). [Google Scholar]
28. Brief, A. E. I. P. Reducing Stunting in Ethiopia: From Promise to Impact (Cambridge University Press, 2019).
29. Ahmed, A. S. et al. Determinants of undernutrition in children under 2 years of age from rural Bangladesh. Indian Pediatr.49, 821–824 (2012). [Abstract] [Google Scholar]
30. WHO. Physical status: The use and interpretation of anthropometry. Report of a WHO report expert committee, WHO Technical report series (1995). https://apps.who.int/iris/bitstream/handle/10665/37003/WHO_TRS_854.pdf?sequence=1. Marfell-Jones, 2006 #249. [Abstract]
31. Mengesha, H. G. et al. Modeling the predictors of stunting in Ethiopia: Analysis of 2016 Ethiopian demographic health survey data (EDHS). BMC Nutr.6, 1–11 (2020). [Europe PMC free article] [Abstract] [Google Scholar]
32. Wirth, J. Determinants of Stunting in East Africa (Université Montpellier, 2018). [Google Scholar]
33. Sari, I. P., Ardillah, Y. & Rahmiwati, A. Low birth weight and underweight association in children aged 6–59 months in Palembang, Indonesia: A cross-sectional study. In 2nd Sriwijaya International Conference of Public Health (SICPH 2020) (Atlantis Press, 2019).
34. Khamis, A. G. et al. The influence of dietary diversity on the nutritional status of children between 6 and 23 months of age in Tanzania. BMC Pediatr.19, 1–9 (2019). [Europe PMC free article] [Abstract] [Google Scholar]
35. Jain, A., Kalliyil, M. & Agnihotri, S. Minimum diet diversity and minimum meal frequency–Do they matter equally? Understanding IYCF practices in India. Curr. Dev. Nutr.4, nzaa054_084 (2020). [Google Scholar]
36. Nabag, O., Elfaki, E. & Ahmed, K. Socio-economic and environmental risk factors of protein energy malnutrition among children under five years of age in Omdurman pediatric hospital. Merit Res. J. Food Sci. Technol.1(1), 001–008 (2013). [Google Scholar]
37. Jamro, B. et al. Risk factors for severe acute malnutrition in children under the age of five year in Sukkur. Pak. J. Med. Res.51(4) (2012).
38. Jain, E. & Re, A. A review study on sustainable development goals: Un 2030 agenda. Our Herit.68(5), 1–13.

Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

Similar Articles 


To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.