# Stunting and Its Determinants among Children Aged 6–59 Months in Northern Ethiopia: A Cross-Sectional Study

Authors: Shiferaw Abeway; Bereket Gebremichael; Rajalakshmi Murugan; Masresha Assefa; Yohannes Mehretie Adinew
Journal: Journal of Nutrition and Metabolism
 (2018)

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## Abstract

Background. Stunting reflects chronic undernutrition during the most critical periods of growth and development in early life. The study was aimed at assessing the magnitude of stunting and associated factors among children aged 6–59 month in central Ethiopia. Methods. A community-based cross-sectional study was conducted among 410 children aged between 6 and 59 months. Systematic random sampling technique was employed to select study participants. Interviewer-administered structured questionnaire was used to collect data. The data were entered using EPI INFO version 3.5.1, and analysis was done by SPSS version 21 and ENA, 2007 software for anthropometric calculation. World Health Organization standard 2006 was used to analyse anthropometric data. Bivariate and multivariable logistic regression analyses were also carried out to identify predictors of stunting. Statistical significance was declared at p<0.05 and 95% CI. Results. Overall magnitude of stunting was 52.4 (95% CI: 47.6–57.2). Being female (AOR: 2.8, 95% CI: 1.503–5.099), belonging to age group of 25–59 months (AOR: 4, 95% CI: 1.881–8.424) and birth weight of <2.5 kg (AOR: 5, 95% CI: 1.450–17.309), mothers' lack of ANC visits (AOR: 3.2 95% CI: 1.40–7.10), and mistimed complementary feeding initiation (AOR: 2.4, 95% CI: 1.266–4.606) were positively associated with child stunting, whereas educational status of the mother (AOR: 0.01, 95% CI: 0.001–0.063) showed negative association. Conclusion. Stunting was a highly prevalent problem in the study area. Low weight at birth, female sex, older age, mistimed initiation of complimentary feeding, and mothers’ lack of ANC visit were found to have significant relation with children’s chronic malnutrition. Thus, interventions shall effectively address those factors to alleviate the problem.


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## Body

## 1. Background

Malnutrition results from unbalanced diet that does not contain all the necessary nutrients and/or inadequate or excessive consumption of nutrients. It can also result from diseases that interfere with the body’s ability to use the nutrients consumed [1] and thus malnourished children have lowered resistance to infection [2]. Stunting reflects chronic undernutrition during the most critical periods of growth and development in early life. Children whose height-for-age z-score is below minus two standard deviations (−2 SD) from the median of the World Health Organization (WHO) reference population are considered short for their age (stunted), or chronically malnourished. Children who are below minus three standard deviations (−3 SD) are considered severely stunted [3].Although problems related to poor nutrition affect the entire population, children are more vulnerable because of their unique physiology and socioeconomic characteristics. Adequate nutrition is critical to children’s growth and development. The period from birth to age two is especially important for optimal physical, mental, and cognitive growth, health, and development. Unfortunately, this period is often marked by protein energy and micronutrient deficiencies that interfere with optimal growth [4].Undernutrition affects children’s physical growth and reduces their cognitive development, and physical work capacity. It is also responsible for at least 35% of deaths in under-five children globally [1]. Every hour of every day, 300 children die because of malnutrition but it’s not recorded on death certificates, and as a result, it’s not effectively addressed [5, 6]. Worldwide, 165 million children below five years of age are affected with undernutrition, of which 26% are stunted [7].Progress in reducing childhood malnutrition in developing countries has been slow [8]. The larger burden for Africa is stunting, failure to grow in stature [5, 9] with 36% prevalence [10]; 40% in rural areas and 25% in urban [3, 10]. Ethiopia’s success is also limited with an annual reduction of 1.3% over the past eleven years from 58% in 2000 to 44% in 2011 and 40% in 2014 [5]; huge gap in achieving the goal of stunting. Especially stunting level is above the national average in Amhara region 46% [3]. According to recent studies conducted in the region, the prevalence of child stunting was 14.3% in west Gojam [1], 31.1% in southeast Amhara region [11], and 51.1% in Lalibela [12]. Malnutrition is responsible for 57% of child deaths in Ethiopia, the highest rates of stunting in the world [13]. Therefore, identifying factors underlying stunting is crucial. Thus, this study was aimed to determine the magnitude of stunting and its predictors in under-five children.


## 2. Methods

### 2.1. Study Design and Area

A community-based cross-sectional study was conducted from February to March 2017. The study was conducted in Merhabete woreda (district), North Shewa zone, 180 km away from the capital Addis Ababa [14].


### 2.2. Sample Size Determination and Sampling Technique

Sample size was determined using single population proportion formula with assumption of 51.1% prevalence of stunting [12], 5% margin of error, 95% confidence level, and 10% possible nonresponse rate, making the final sample size 422 mother child pair.The study population was all randomly selected children aged 6–59 months who were living with their mothers in selected kebeles (the lowest administrative unit) of Merhabeta woreda. From the total of 27 kebeles in the woreda, nine were selected by simple random sampling method. A sample frame of each selected kebeles (number of under-five children in each kebeles) was obtained from woreda health bureau. Samples were allocated to all kebeles proportional to the size or number of under-five children they had. List of participating households from the selected kebeles was obtained from health extension workers, and participants were enrolled by using systematic random sampling technique. Interval (K value) was determined for each kebele by dividing the total eligible children in the kebele to the sample proportion. The first household was selected by lottery method. In case there was more than one eligible child in one home, one child was arbitrarily selected. Children, who were seriously ill, had physical deformities of limbs and spines were excluded because of difficulty in height measurement.


### 2.3. Operational Definitions

#### 2.3.1. Stunting

Children who had low height-for-age at <−2 SD of the median value of the WHO international growth reference aged 6–59 months were selected.


### 2.4. Data Collection Tools and Procedure

Eight diploma nurses collected the data under supervision of two B.Sc nurses. Data were collected by using semistructured questioner adopted from UNICEF and similar studies [5]. The tool contains demographic, stunting (chronic malnutrition), socioeconomic, environmental, healthcare, and dietary factors among children aged 6–59 months.


#### 2.4.1. Height

Length measurement for children below 24 months was taken in lying down or recumbent position, and standing height was taken for children aged 24–59 months, and the measurement was taken to the nearest 0.1 cm using Short’s Height Measuring Board [5]. Study participants were on barefoot while measuring their height.


#### 2.4.2. Age

Mothers’ response and birth certificate or vaccination cards were used to record child’s age. “Local-events” were used to help mothers remember.


### 2.5. Data Quality Control

Appropriate training and supervision were given to data collectors. Pretest was performed using 5% of the sample size in adjacent kebele not included in the survey. The questionnaire was translated to local language (Amharic) and back translated to English to check for internal consistency. Height scale was calibrated at the nearest 0.1 cm using Short’s Height Measuring Board, and continuous checkup of measurement was performed for their reliability.


### 2.6. Data Processing and Analysis

After checking for completeness and consistencies, the data were entered using Epi Info and analyzed by SPSS version 21. Nutritional status of the child/height-for-agez score was computed for each sex based on the Emergency Nutritional Assessment (ENA) 2007 software for anthropometric calculator and WHO standard 2006. Descriptive statistics were done. All variables with association (p<0.2) in the binary logistic regression analysis were interred into the final multivariable regression model to identify their independent effect. Statistical significance was declared at P<0.05.


## 2.1. Study Design and Area

A community-based cross-sectional study was conducted from February to March 2017. The study was conducted in Merhabete woreda (district), North Shewa zone, 180 km away from the capital Addis Ababa [14].


## 2.2. Sample Size Determination and Sampling Technique

Sample size was determined using single population proportion formula with assumption of 51.1% prevalence of stunting [12], 5% margin of error, 95% confidence level, and 10% possible nonresponse rate, making the final sample size 422 mother child pair.The study population was all randomly selected children aged 6–59 months who were living with their mothers in selected kebeles (the lowest administrative unit) of Merhabeta woreda. From the total of 27 kebeles in the woreda, nine were selected by simple random sampling method. A sample frame of each selected kebeles (number of under-five children in each kebeles) was obtained from woreda health bureau. Samples were allocated to all kebeles proportional to the size or number of under-five children they had. List of participating households from the selected kebeles was obtained from health extension workers, and participants were enrolled by using systematic random sampling technique. Interval (K value) was determined for each kebele by dividing the total eligible children in the kebele to the sample proportion. The first household was selected by lottery method. In case there was more than one eligible child in one home, one child was arbitrarily selected. Children, who were seriously ill, had physical deformities of limbs and spines were excluded because of difficulty in height measurement.


## 2.3. Operational Definitions

### 2.3.1. Stunting

Children who had low height-for-age at <−2 SD of the median value of the WHO international growth reference aged 6–59 months were selected.


## 2.3.1. Stunting

Children who had low height-for-age at <−2 SD of the median value of the WHO international growth reference aged 6–59 months were selected.


## 2.4. Data Collection Tools and Procedure

Eight diploma nurses collected the data under supervision of two B.Sc nurses. Data were collected by using semistructured questioner adopted from UNICEF and similar studies [5]. The tool contains demographic, stunting (chronic malnutrition), socioeconomic, environmental, healthcare, and dietary factors among children aged 6–59 months.


### 2.4.1. Height

Length measurement for children below 24 months was taken in lying down or recumbent position, and standing height was taken for children aged 24–59 months, and the measurement was taken to the nearest 0.1 cm using Short’s Height Measuring Board [5]. Study participants were on barefoot while measuring their height.


### 2.4.2. Age

Mothers’ response and birth certificate or vaccination cards were used to record child’s age. “Local-events” were used to help mothers remember.


## 2.4.1. Height

Length measurement for children below 24 months was taken in lying down or recumbent position, and standing height was taken for children aged 24–59 months, and the measurement was taken to the nearest 0.1 cm using Short’s Height Measuring Board [5]. Study participants were on barefoot while measuring their height.


## 2.4.2. Age

Mothers’ response and birth certificate or vaccination cards were used to record child’s age. “Local-events” were used to help mothers remember.


## 2.5. Data Quality Control

Appropriate training and supervision were given to data collectors. Pretest was performed using 5% of the sample size in adjacent kebele not included in the survey. The questionnaire was translated to local language (Amharic) and back translated to English to check for internal consistency. Height scale was calibrated at the nearest 0.1 cm using Short’s Height Measuring Board, and continuous checkup of measurement was performed for their reliability.


## 2.6. Data Processing and Analysis

After checking for completeness and consistencies, the data were entered using Epi Info and analyzed by SPSS version 21. Nutritional status of the child/height-for-agez score was computed for each sex based on the Emergency Nutritional Assessment (ENA) 2007 software for anthropometric calculator and WHO standard 2006. Descriptive statistics were done. All variables with association (p<0.2) in the binary logistic regression analysis were interred into the final multivariable regression model to identify their independent effect. Statistical significance was declared at P<0.05.


## 3. Results

### 3.1. Demographic and Socioeconomic Characteristics

Out of eligible 422 children with their mother, a total of 410 actually participated in the study making the response rate 97.2%. More than half, 229 (55.9%), of the children were male and 167 (73.2%) of them were in the age group of 25–59 months. Among respondents, 399 (97.3%) and 404 (98.5%) were Amhara in ethnic group and orthodox religion followers, respectively. Nearly two-thirds, 259 (63.2%), of mothers had no formal education (Table1).Table 1
Demographics and socioeconomic characteristics of children aged 6 to 59 months in Merhabete woreda, Ethiopia, 2017 (n=410).
Variable,n=410
Category
Frequency (N)
Percent (%)
Age of child
6 to 24 months
107
26.1
25 to 59 months
303
73.9
Sex of child
Male
228
55.9
Female
182
44.1
Birth order
First child
149
36.4
2-3
27
6.6
4-5
26
6.3
4=>6
208
50.7
Birth interval
1st child
150
36.6
<24 months
227
55.4
>24 months
33
8
Age of mother
Less than 20
14
3.4
21 to 35
360
87.8
Greater than 36
36
8.8
Marital status
Married
373
91.0
Single
3
0.7
Divorced
23
5.6
Widowed
11
2.7
Ethnicity
Amhara
399
97.3
Oromo
11
2.7
Religion
Orthodox
404
98.5
Protestant
6
1.5
Occupation of mother
Housewife
370
90.2
Government employee
27
6.6
NGO
3
0.7
Merchant
6
1.5
Self-employee
4
1.0
Educational status of mother
No formal education
259
63.2
Primary school
116
28.3
Secondary school
23
5.6
Above 12
12
2.9
Educational status of father
No formal education
143
34.9
Primary school
118
28.8
Secondary school
110
26.8
Above 12
39
9.5
Family monthly income
<1000 ETB
127
30.9
1000–2000 ETB
145
35.4


### 3.2. Health-Care and Environmental Characteristics

Half, 211 (51.5%), of the children had normal birth weight (2.5–4.0 kg) and 15 (3.7%) were >4.0 kg, while 133 (32.4%) of the total children were immunized. Among the children, 166 (40.5%) had got diarrhoea during the last two weeks prior to data collection and 168 (41%) children were affected by recurrent diarrhoea. Almost half of the mothers, 186 (45.4%), had no antenatal care visits for their last pregnancy (Table2).Table 2
Environmental and health-care characteristics of children aged 5 to 59 months in Merhabete woreda, Ethiopia, 2017 (n=410).
Variable,n=410
Category
Frequency (N)
Percent (%)
ANC follow-up
No
186
45.4
1 times
82
20
2-3 times
14
3.4
4 times
128
31.2
Place of delivery
Health center
40
9.8
Hospital
330
80.5
Privet health center
18
4.4
Home
22
5.3
PNC follow-up
Yes
134
32.7
No
276
67.3
Birth weight
<2.5 kg
162
39.5
2.5–4 kg
211
51.5
>4 kg
15
3.7
Unknown
22
5.4
Immunization status
Yes
133
32.4
No
277
67.6
Category of vaccination
Fully vaccinated
93
22.7
Currently on vaccination
40
9.8
Not fully vaccinated
277
67.5
Had recurrent diarrhoea in the past 2 weeks
Yes
168
41
No
242
59
Diarrhoea within 2 weeks
Yes
166
40.5
No
244
59.5
Main source of water
Private tap/stand pipe
138
33.7
Public tap/stand pipe
265
64.6
Hand pump water
5
1.2
Protected dwelling
2
0.5
Toilet facility availability
Yes
331
80.7
No
79
19.3


### 3.3. Dietary Characteristics

Breastfeeding was almost universal 401 (97.8%) in the study area. Majority (82.7%) of children started breastfeeding within the first one hour of birth. Children who received colostrum were 165 (40.2%), whereas 121 (29.5%) children received prelacteal feed. Majority, 233 (58.8%), of children started complementary feeding at age of 6 months (Table3).Table 3
Dietary characteristics of children among 6 to 59 months in Merhabete woreda, Ethiopia, 2017, (n=410).
Variable,n=410
Category
Frequency (N)
Percent (%)
Ever breastfed child
Yes
401
97.8
No
9
2.2
Time for initiation of BF
Within 1 hr
339
82.7
Within 24 hrs
57
13.9
>24 hrs
14
3.4
Child fed colostrum
Yes
165
40.2
No
245
59.8
Child received prelacteal feed
Yes
121
29.5
No
289
70.5
Age complementary food started
At 6 months
233
56.8
Not timely initiation of BF
177
43.2
Type of food offered
Bread
14
3.4
Enjera
257
62.7
Porridge
118
28.8
Other
21
5.1
Duration of breastfeeding
Less than 12 months
94
22.9
12 to 24 months
278
67.8
Greater than 24 months
38
9.3


### 3.4. Prevalence of Stunting among Children Aged 6–59 Months

Prevalence of stunting was found to be 215 (52.4%) (95% CI: 47.6–57.25). Of this, 182 (84.7%) were in the age group of 25–59 month. From the total of stunted children, 74 (18%) were severely stunted and 141 (34.4%) were moderately stunted.


### 3.5. Factors Associated with Stunting among Children Aged 6–59 Months

In multivariable logistic regression analysis, birth weight, sex, and age of the child, educational status, and ANC visits of mother and age at which the child started complementary food were identified as factors associated with stunting among children aged 6–59 months in the study area.Children within age group 25–59 months were 4 times (AOR: 4; 95% CI: 1.88–8.42) more likely to be stunted compared to children in age group 6–24 months, and children whose mothers attended higher education had reduced risk of being stunted by 90% compared to mother who cannot read and write (AOR: 0.01; 95% CI: 0.01–0.06). Female children were 2.8 times (AOR: 2.8; 95% CI: 1.50–5.10) more likely to be stunted than their male counterparts. Children who did not have timely start of complementary feeding were 2.4 times (AOR: 2.4; 95% CI: 1.27–4.61) more likely to be stunted than children who started at 6 months of age (Table4).Table 4
Bivariate and multivariable logistic regression analysis of factors associated with stunting among children aged 6–59 months in Merhabete woreda, Ethiopia, 2017 (n=410).
Variable
Stunted
Nonstunted
COR (95% CI)
AOR (95% CI)
P value
Sex
Male
105 (48.8%)
123 (63.1%)
1
1
Female
110 (51.2%)
72 (36.9%)
1.79 (1.20–2.65)
2.8 (1.50–5.09)
0.00
Birth order
First child
54 (25.1%)
95 (48.7%)
1
1
2-3
15 (7%)
12 (6.2)
2.2 (0.96–5.04)
0.5 (0.20–1.08)
0.07
4-5
15 (7%)
11 (5.6)
2.4 (1.02–5.59)
3.1 (0.98–9.92)
0.05
>6
131 (60.9%)
77 (39.5%)
3 (1.99–4.63)
1 (0.31–3.48)
0.94
Birth interval
First child
70 (32.6%)
80 (41%)
1.5 (0.70–3.33)
1.7 (0.45–6.37)
0.43
<24 months
133 (61.9%)
94 (48.2%)
2.5 (1.16–5.27)
1 (0.29–3.17)
0.96
>24 months
12 (9.8%)
21 (10%)
1
1
Education of mother
No formal
164 (76.3%)
95 (48.7%)
1
1
Primary
46 (21.4%)
70 (35.9%)
0.4 (0.24–0.59)
0.2 (0.10–0.42)
0.00
Secondary
4 (19.1%)
19 (9.7%)
0.1 (0.04–0.36)
0.1 (0.02–0.44)
0.00
Above 12
1 (15.8%)
11 (0.5%)
0.05 (0.00–0.41)
0.01 (0.00–0.06)
0.00
ANC
No
132 (61.4%)
54 (27.7%)
6.5 (3.93–10.72)
3.2 (1.40–7.10)
0.00
1 time
44 (20.5%)
38 (19.5%)
3.1 (1.71–5.51)
2.4 (1.00–5.74)
0.05
2-3 times
4 (1.9%)
10 (5.1%)
1.1 (0.313–0.3.611)
1.2 (0.24–5.39)
0.85
>4 times
35 (16.3%)
93 (477%)
1
1
PNC
Yes
48 (22.3%)
86 (44.1%)
1
1
No
167 (77.7%)
109 (55.9%)
2.7 (1.79–4.21)
0.6 (0.02–11.93)
0.71
Birth weight
<2.5
163 (75.7%)
48 (24.6%)
4 (1.65–10.01)
5 (1.45–17.30)
0.01
2.5–4
48 (22.4%)
136 (69.8%)
0.4 (0.14–0.91)
0.4 (0.11–1.46)
0.17
>4
4 (1.9%)
11 (5.6%)
1
1
Immunization
Yes
47 (21.9%)
85 (43.6%)
1
1
No
168 (78.1%)
110 (56.4%)
2.8 (1.84–4.33)
1.7 (0.08–20.37)
0.73
Recurrent episode of diarrhoea
Yes
112 (52.1%)
56 (28.7%)
2.7 (1.79–4.06)
1.7 (0.71–4.18)
0.22
No
103 (47.9%)
139 (71.3%)
1
1
Diarrhoea
Yes
110 (51.2%)
56 (28.7%)
2.6 (1.72–3.91)
1.1 (0.45–2.60)
0.85
No
105 (48.8%)
139 (71.3%)
1
1
Colostrum feed
Yes
65 (30.2%)
100 (51.3)
1
1
No
150 (69.8%)
95 (48.7%)
2.4 (1.62–3.64)
0.8 (0.41–1.46)
0.43
Method of feeding
Spoon
22 (10.2%)
19 (9.7%)
1.5 (0.53–4.45)
0.4 (0.06–2.13)
0.26
Cup
99 (46%)
109 (55.9%)
0.6 (0.48–0.99)
0.5 (0.10–2.11)
0.32
Hand
85 (39.5%)
55 (28.2%)
2.0 (0.81–5.21)
0.6 (0.13–2.94)
0.54
Bottle
9 (4.2%0
12 (6.2%)
1
1
Age of child
6 to 24 months
33 (15.3%)
74 (37.9%)
1
1
25 to 59 months
182 (84.7%)
121 (962.1%)
3.4 (2.10–5.39)
4 (1.88–8.42)
0.00
Duration of BF
<12 months
36 (16.7%)
58 (29.7(%)
0.5 (0.23–0.97)
1.1 (0.34–3.67)
0.85
12 to 24 months
158 (73.5%)
120 (61.5%)
1.1 (0.53–2.10)
1.4 (0.51–3.87)
0.51
>24 month
21 (9.8%)
17 (8.7%)
1
1
Complementary food started
At 6 months
81 (37.7%)
152 (77.9%)
1
1
Before and after 6 months
134 (62.3%)
43 (22.1%)
5.6 (3.77–9.05)
2.4 (1.26–4.66)
0.00


## 3.1. Demographic and Socioeconomic Characteristics

Out of eligible 422 children with their mother, a total of 410 actually participated in the study making the response rate 97.2%. More than half, 229 (55.9%), of the children were male and 167 (73.2%) of them were in the age group of 25–59 months. Among respondents, 399 (97.3%) and 404 (98.5%) were Amhara in ethnic group and orthodox religion followers, respectively. Nearly two-thirds, 259 (63.2%), of mothers had no formal education (Table1).Table 1
Demographics and socioeconomic characteristics of children aged 6 to 59 months in Merhabete woreda, Ethiopia, 2017 (n=410).
Variable,n=410
Category
Frequency (N)
Percent (%)
Age of child
6 to 24 months
107
26.1
25 to 59 months
303
73.9
Sex of child
Male
228
55.9
Female
182
44.1
Birth order
First child
149
36.4
2-3
27
6.6
4-5
26
6.3
4=>6
208
50.7
Birth interval
1st child
150
36.6
<24 months
227
55.4
>24 months
33
8
Age of mother
Less than 20
14
3.4
21 to 35
360
87.8
Greater than 36
36
8.8
Marital status
Married
373
91.0
Single
3
0.7
Divorced
23
5.6
Widowed
11
2.7
Ethnicity
Amhara
399
97.3
Oromo
11
2.7
Religion
Orthodox
404
98.5
Protestant
6
1.5
Occupation of mother
Housewife
370
90.2
Government employee
27
6.6
NGO
3
0.7
Merchant
6
1.5
Self-employee
4
1.0
Educational status of mother
No formal education
259
63.2
Primary school
116
28.3
Secondary school
23
5.6
Above 12
12
2.9
Educational status of father
No formal education
143
34.9
Primary school
118
28.8
Secondary school
110
26.8
Above 12
39
9.5
Family monthly income
<1000 ETB
127
30.9
1000–2000 ETB
145
35.4


## 3.2. Health-Care and Environmental Characteristics

Half, 211 (51.5%), of the children had normal birth weight (2.5–4.0 kg) and 15 (3.7%) were >4.0 kg, while 133 (32.4%) of the total children were immunized. Among the children, 166 (40.5%) had got diarrhoea during the last two weeks prior to data collection and 168 (41%) children were affected by recurrent diarrhoea. Almost half of the mothers, 186 (45.4%), had no antenatal care visits for their last pregnancy (Table2).Table 2
Environmental and health-care characteristics of children aged 5 to 59 months in Merhabete woreda, Ethiopia, 2017 (n=410).
Variable,n=410
Category
Frequency (N)
Percent (%)
ANC follow-up
No
186
45.4
1 times
82
20
2-3 times
14
3.4
4 times
128
31.2
Place of delivery
Health center
40
9.8
Hospital
330
80.5
Privet health center
18
4.4
Home
22
5.3
PNC follow-up
Yes
134
32.7
No
276
67.3
Birth weight
<2.5 kg
162
39.5
2.5–4 kg
211
51.5
>4 kg
15
3.7
Unknown
22
5.4
Immunization status
Yes
133
32.4
No
277
67.6
Category of vaccination
Fully vaccinated
93
22.7
Currently on vaccination
40
9.8
Not fully vaccinated
277
67.5
Had recurrent diarrhoea in the past 2 weeks
Yes
168
41
No
242
59
Diarrhoea within 2 weeks
Yes
166
40.5
No
244
59.5
Main source of water
Private tap/stand pipe
138
33.7
Public tap/stand pipe
265
64.6
Hand pump water
5
1.2
Protected dwelling
2
0.5
Toilet facility availability
Yes
331
80.7
No
79
19.3


## 3.3. Dietary Characteristics

Breastfeeding was almost universal 401 (97.8%) in the study area. Majority (82.7%) of children started breastfeeding within the first one hour of birth. Children who received colostrum were 165 (40.2%), whereas 121 (29.5%) children received prelacteal feed. Majority, 233 (58.8%), of children started complementary feeding at age of 6 months (Table3).Table 3
Dietary characteristics of children among 6 to 59 months in Merhabete woreda, Ethiopia, 2017, (n=410).
Variable,n=410
Category
Frequency (N)
Percent (%)
Ever breastfed child
Yes
401
97.8
No
9
2.2
Time for initiation of BF
Within 1 hr
339
82.7
Within 24 hrs
57
13.9
>24 hrs
14
3.4
Child fed colostrum
Yes
165
40.2
No
245
59.8
Child received prelacteal feed
Yes
121
29.5
No
289
70.5
Age complementary food started
At 6 months
233
56.8
Not timely initiation of BF
177
43.2
Type of food offered
Bread
14
3.4
Enjera
257
62.7
Porridge
118
28.8
Other
21
5.1
Duration of breastfeeding
Less than 12 months
94
22.9
12 to 24 months
278
67.8
Greater than 24 months
38
9.3


## 3.4. Prevalence of Stunting among Children Aged 6–59 Months

Prevalence of stunting was found to be 215 (52.4%) (95% CI: 47.6–57.25). Of this, 182 (84.7%) were in the age group of 25–59 month. From the total of stunted children, 74 (18%) were severely stunted and 141 (34.4%) were moderately stunted.


## 3.5. Factors Associated with Stunting among Children Aged 6–59 Months

In multivariable logistic regression analysis, birth weight, sex, and age of the child, educational status, and ANC visits of mother and age at which the child started complementary food were identified as factors associated with stunting among children aged 6–59 months in the study area.Children within age group 25–59 months were 4 times (AOR: 4; 95% CI: 1.88–8.42) more likely to be stunted compared to children in age group 6–24 months, and children whose mothers attended higher education had reduced risk of being stunted by 90% compared to mother who cannot read and write (AOR: 0.01; 95% CI: 0.01–0.06). Female children were 2.8 times (AOR: 2.8; 95% CI: 1.50–5.10) more likely to be stunted than their male counterparts. Children who did not have timely start of complementary feeding were 2.4 times (AOR: 2.4; 95% CI: 1.27–4.61) more likely to be stunted than children who started at 6 months of age (Table4).Table 4
Bivariate and multivariable logistic regression analysis of factors associated with stunting among children aged 6–59 months in Merhabete woreda, Ethiopia, 2017 (n=410).
Variable
Stunted
Nonstunted
COR (95% CI)
AOR (95% CI)
P value
Sex
Male
105 (48.8%)
123 (63.1%)
1
1
Female
110 (51.2%)
72 (36.9%)
1.79 (1.20–2.65)
2.8 (1.50–5.09)
0.00
Birth order
First child
54 (25.1%)
95 (48.7%)
1
1
2-3
15 (7%)
12 (6.2)
2.2 (0.96–5.04)
0.5 (0.20–1.08)
0.07
4-5
15 (7%)
11 (5.6)
2.4 (1.02–5.59)
3.1 (0.98–9.92)
0.05
>6
131 (60.9%)
77 (39.5%)
3 (1.99–4.63)
1 (0.31–3.48)
0.94
Birth interval
First child
70 (32.6%)
80 (41%)
1.5 (0.70–3.33)
1.7 (0.45–6.37)
0.43
<24 months
133 (61.9%)
94 (48.2%)
2.5 (1.16–5.27)
1 (0.29–3.17)
0.96
>24 months
12 (9.8%)
21 (10%)
1
1
Education of mother
No formal
164 (76.3%)
95 (48.7%)
1
1
Primary
46 (21.4%)
70 (35.9%)
0.4 (0.24–0.59)
0.2 (0.10–0.42)
0.00
Secondary
4 (19.1%)
19 (9.7%)
0.1 (0.04–0.36)
0.1 (0.02–0.44)
0.00
Above 12
1 (15.8%)
11 (0.5%)
0.05 (0.00–0.41)
0.01 (0.00–0.06)
0.00
ANC
No
132 (61.4%)
54 (27.7%)
6.5 (3.93–10.72)
3.2 (1.40–7.10)
0.00
1 time
44 (20.5%)
38 (19.5%)
3.1 (1.71–5.51)
2.4 (1.00–5.74)
0.05
2-3 times
4 (1.9%)
10 (5.1%)
1.1 (0.313–0.3.611)
1.2 (0.24–5.39)
0.85
>4 times
35 (16.3%)
93 (477%)
1
1
PNC
Yes
48 (22.3%)
86 (44.1%)
1
1
No
167 (77.7%)
109 (55.9%)
2.7 (1.79–4.21)
0.6 (0.02–11.93)
0.71
Birth weight
<2.5
163 (75.7%)
48 (24.6%)
4 (1.65–10.01)
5 (1.45–17.30)
0.01
2.5–4
48 (22.4%)
136 (69.8%)
0.4 (0.14–0.91)
0.4 (0.11–1.46)
0.17
>4
4 (1.9%)
11 (5.6%)
1
1
Immunization
Yes
47 (21.9%)
85 (43.6%)
1
1
No
168 (78.1%)
110 (56.4%)
2.8 (1.84–4.33)
1.7 (0.08–20.37)
0.73
Recurrent episode of diarrhoea
Yes
112 (52.1%)
56 (28.7%)
2.7 (1.79–4.06)
1.7 (0.71–4.18)
0.22
No
103 (47.9%)
139 (71.3%)
1
1
Diarrhoea
Yes
110 (51.2%)
56 (28.7%)
2.6 (1.72–3.91)
1.1 (0.45–2.60)
0.85
No
105 (48.8%)
139 (71.3%)
1
1
Colostrum feed
Yes
65 (30.2%)
100 (51.3)
1
1
No
150 (69.8%)
95 (48.7%)
2.4 (1.62–3.64)
0.8 (0.41–1.46)
0.43
Method of feeding
Spoon
22 (10.2%)
19 (9.7%)
1.5 (0.53–4.45)
0.4 (0.06–2.13)
0.26
Cup
99 (46%)
109 (55.9%)
0.6 (0.48–0.99)
0.5 (0.10–2.11)
0.32
Hand
85 (39.5%)
55 (28.2%)
2.0 (0.81–5.21)
0.6 (0.13–2.94)
0.54
Bottle
9 (4.2%0
12 (6.2%)
1
1
Age of child
6 to 24 months
33 (15.3%)
74 (37.9%)
1
1
25 to 59 months
182 (84.7%)
121 (962.1%)
3.4 (2.10–5.39)
4 (1.88–8.42)
0.00
Duration of BF
<12 months
36 (16.7%)
58 (29.7(%)
0.5 (0.23–0.97)
1.1 (0.34–3.67)
0.85
12 to 24 months
158 (73.5%)
120 (61.5%)
1.1 (0.53–2.10)
1.4 (0.51–3.87)
0.51
>24 month
21 (9.8%)
17 (8.7%)
1
1
Complementary food started
At 6 months
81 (37.7%)
152 (77.9%)
1
1
Before and after 6 months
134 (62.3%)
43 (22.1%)
5.6 (3.77–9.05)
2.4 (1.26–4.66)
0.00


## 4. Discussion

The study assessed prevalence of stunting and associated factors among children of 6–59 months. Prevalence of stunting in the study area was 52.4%. The finding was almost comparable with studies conducted in Amhara region (Lalibela town) (51.1%) [12], Sidama zone (50.3%) [15], and Oromia Regional State (47.6%) [16]. The prevalence was relatively higher than the national figure (38%) [10] and other parts of the country, 26.6% in southern region [1] and 24.9% in Northwest Ethiopia [6]. However, it was lower than the finding from Southeast Amhara region (60.6%) [11].Sex of a child showed significant association with stunting. Female children had higher odds of stunting than male. This was congruent with the study from rural Somalia, where females were more stunted than their male counterparts [17]. Another study from Pakistan also found increased stunting among the female [18]. This variation might be due to unmeasured factors on care-giving behaviours of mothers because of preference. In country like Ethiopia, parents are stricter with their daughters than their sons and often parents give more meal freedom to male children than females [17].Children’s age was the other determinant of stunting, as evidenced by higher odds of stunting among the older age ones. Compared with those children aged 6–24 months, children within age group 24–59 months were 4 times more like to be stunted. This result is consistent with result of study from Hawasa, where children who were aged above 24 months were more stunted than those below 24 months [1]. This could be due to the fact that stunting is a chronic malnutrition and is commonly manifested after long-term nutritional deprivation.Child birth weight has a direct relationship with stunting. Small birth weight children were more likely to be stunted than normal birth weight children. Similar findings were obtained in the East Wolega zone [19]. The study conducted in Nepal [20] and Sri Lanka [21] also showed disproportionately higher prevalence of stunting among low birth weight children. This could be related to mother’s health and nutritional status before and during pregnancy which determine the size of the child during intrauterine period and also those small-sized children were likely be frequently exposed to infections which lead to malabsorption of nutrients in their body.Starting complimentary food at the right time has a positive effect on child development. Children who did not have timely complementary feeding were more likely to be stunted than children who had started complementary feeding at 6 months. Similar findings were obtained in West Gojam [7], Khartoum [22], and Belgaum [23]. This could be explained by the fact that breastfeeding is enough to provide child’s nutritional demand during the first six months life. On the contrast, as the duration of exclusive breastfeeding extends from the recommended duration, the risk of chronic malnutrition increases because of low intake of energy rich supplementary food [24, 25].Maternal education appeared to strongly affect childhood stunting. Children born to mothers with higher education had reduced risk of stunting compared to those born to illiterate mothers. This finding is in agreement with the study conducted in the Sidama zone that reported higher risk of stunting among children of uneducated mothers [15]. Studies from Brazil [26] and Zambia [27] had also supported this finding. Educated women are more likely to discern and practice appropriate child nutrition, hygiene, and health care which can greatly improve the nutritional status of their children.Mothers’ ANC visit also showed strong association with child stunting. Children whose mothers had no antenatal follow-up were more likely to be stunted than children whose mothers had four and above ANC visits. The finding is supported by the study conducted in Southeast Amhara region where children of mothers who had no antenatal care were more stunted than those who had two to three ANC visit [11]. A study from Zambia also found reduced risk of stunting among children whose mothers had attended antenatal clinics compared to those whose mothers had no ANC [28]. Nutritional intervention and maternal advice during pregnancy had a great impact on child growth and multiple causes of stunting. This includes prevention and control of prenatal infection and subclinical condition that restrict growth of children and stimulate early child development. In addition, mothers get advises from health-care providers on breast feeding, child nutrition, and infection prevention during ANC follow-up which could help them raise their children better [29].


## 5. Limitations

Birth weight data were collected by interviewing the mothers or caregivers, and it might be subjected to recall bias.


## 6. Conclusion

Stunting was prevalent among Merhabete woreda children. Low weight at birth, female sex, and older age, mistimed initiation of complimentary feeding, mothers’ low educational status, and lack of ANC visit were found to have significant relation with child chronic malnutrition. Thus, interventions shall effectively address these factors to alleviate the problem stunting.



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*Source: 1078480-2018-06-25.xml*