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Stunting, wasting and associated factors among children aged 6–24 months in Dabat health and demographic surveillance system site: A community based cross-sectional study in Ethiopia

BMC PediatricsBMC series – open, inclusive and trusted201717:96

DOI: 10.1186/s12887-017-0848-2

Received: 22 June 2016

Accepted: 24 March 2017

Published: 4 April 2017

Abstract

Background

Though there is a marked decline in burden of undernutrition, about 44 and 10% of children under five are stunted and wasted, respectively in Ethiopia. The highest prevalence of wasting occurs in young children (6–23 months), however literature are limited in these population groups. Therefore, this study aimed to assess stunting, wasting and associated factors among children aged 6–24 months in Dabat Health and Demographic Surveillance System (HDSS) site, northwest Ethiopia.

Methods

A community based cross-sectional study was conducted in Dabat HDSS site from May 01 to June 29, 2015. A total of 587 mother-child pairs were included in the study. A multivariate logistic regression analysis was carried out to identify factors associated with stunting and wasting, separately.

Results

The prevalence of stunting and wasting among children aged 6–24 months were 58.1 and 17.0%, respectively. Poor wealth status [Adjusted Odds Ratio (AOR) = 2.20; 95% Confidence Interval (CI): 1.42, 3.40], unavailability of latrine [AOR = 1.76; 95% CI: 1.17, 2.66], child age: 12–24 months [AOR = 3.24; 95% CI: 2.24, 4.69], not receiving maternal postnatal vitamin-A supplementation [AOR = 1.54; 95%: 1.02, 2.33] and source of family food: own food production [AOR = 1.71; 95% CI: 1.14, 2.57] were significantly associated with higher odds of stunting. However, only history of diarrheal morbidity was significantly associated with wasting [AOR = 2.06; 95% CI: 1.29, 3.30].

Conclusions

In this community, the magnitude of stunting and wasting exists as a severe public health concern. Therefore, improving socio-economic status, latrine and maternal postnatal vitamin-supplementation coverage are essential to mitigate the high burden of stunting. Besides, reducing the childhood diarrheal morbidity as well as strengthening early diagnosis and management of the problem are crucial to curve the high prevalence of wasting.

Keywords

Stunting Wasting Dabat health and demographic surveillance system Ethiopia

Background

A marked decline has been made over the past few decades in the burden of child undernutrition in developing countries, including Ethiopia [13]. Regardless of this success, children aged under 5 years are still suffering from undernutrition in developing countries. Globally, 178 and 52 million children are stunted and wasted, respectively [4], 99 % of this burden is found in Sub-Saharan Africa and South Asian countries [5].

Annually, about 10.5 million child deaths are related to undernutrition, in which 98% of these mortalities are reported in developing countries [6]. Stunting is associated with poor physical and cognitive development as well as low school performance in children and adolescents [7, 8]. It is also found to hinder economic productivity of adults and Gross Domestic Product (GDP) of the nation at large [9]. The risk of mortality is higher among stunted children [10], even it is aggravated when stunting and wasting happened together [11]. Due to the intergenerational impact of chronic malnutrition, childhood stunting is correlated with the future maternal undernutrition and higher risk of death [8, 12]. Premature delivery and giving birth of underweight baby are commonly reported among undernourished mothers [13, 14].

Because of their rapid growth and increased vulnerability to infectious disease, children less than 2 years of age are considered as the most at risk groups for undernutrition. As a result, the World Health Organization (WHO) designed and supports the implementation of Infant and Young Child Feeding (IYCF) Strategies [15, 16], However poor feeding practice and heath status continues as a strong determinants undernutrition [17, 18].

Accordingly, pre-lacteal feeding [19], non-exclusive breastfeeding [20], low meal frequency and dietary diversity [2123], and not taking prenatal iron supplementation [22] are correlated with stunting among children under-5 years. Furthermore, socio-demographic and environmental factors, such as maternal illiteracy [23], young age (0–23 months) [23], occupational status (being farmer and merchant) [20, 23], large families [20, 24], poor household wealth status [25] and sanitary practice [26], unavailability of latrine [27] and use of unprotected source of drinking water [28] are identified as the determinants of stunting.

Different studies also elicited the predictors of wasting, according to which sub-optimal duration of exclusive breastfeeding [29, 30], poor wealth status [31] and maternal education [32], large families [33], diarrheal and respiratory tract morbidities [34, 35], unavailability of latrine [36] and rural residence [37] are associated with increased odds of wasting among children under-5 years.

In Ethiopia, about 44 and 10% of children under-5 years are stunted and wasted, respectively [38] and the highest burden of wasting occurs in children aged 6–23 months. More than half (53%) of child mortality [39] and 16.5% loss of the Gross Domestic Product [40] are associated with undernutrition. It was proved that, one-third of stunting and one-fourth of child deaths could be prevented by implementing basic nutrition programs [41]. Cognizant of this fact, Ethiopia is found implementing different nutritional interventions to mitigate the high burden of undernutrition [42, 43], despite significant changes have not been attained [38].

Therefore, regular monitoring of the burden and determinants of undernutrition among young children (6–24 months) is important to show the severity (public health importance) of the problem and evaluate the in-place nutritional interventions. Despite their increased and unique vulnerability, little known about the magnitude of undernutrition in this population and majority of the former local studies focused on investigating the problem among under five children [3, 17, 24, 32, 34, 36, 38]. Therefore, this study aimed to assess stunting, wasting and associated factors among children aged 6–24 months in Dabat Health and Demographic Surveillance System (HDSS) site, northwest Ethiopia.

Methods

Study setting and design

A community-based cross-sectional study was conducted from May 01 to June 29, 2015 in Dabat HDSS site. The HDSS site is located in Dabat District, northwest Ethiopia. The district has an estimated population size of 145,458 living in 26 rural and 4 urban kebeles (smallest administration unit in Ethiopia). The livelihood of the residents by and large depends on subsistence farming. The HDSS site covers thirteen kebeles (four urban and nine rural kebeles) selected by considering different ecological zones (high land, middle land, and low land). A total of 67,385 people are living in these kebeles. The Dabat HDSS site has been running since November 1996, and collects information on vital events like birth, death, migration, and pregnancy registrations and its outcome on quarterly bases.

Sample size and sampling procedure

Initially, the study was aimed to assess the nutritional status and feeding practice of children aged 6–59 months in Dabat HDSS site. Of the total kebeles (thirteen) under surveillance, eight kebeles were selected using lottery method. Accordingly, all mothers with children aged 6–59 months who lived in the selected kebeles for at least 6 months were included in the original survey. For households with multiple children fulfilling the inclusion criteria, a child was selected using lottery method.

As part of the original survey, this particular study utilized the data extracted from the original survey database. Accordingly, only mothers with children aged 6–24 months were considered to investigate the magnitude of stunting and wasting in these young children. To this effect, sample size was calculated using Epi-info version 3.7 by considering the following assumptions: 47% as the prevalence of stunting among children aged 6–24 months [3], 95% level of confidence and 5% margin of error. A design effect of 1.5 and 2.5% non-response rate were also anticipated which gives a final sample size of 588.

Data collection tools and procedure

Data from the mothers or caregivers of the children were collected through home to home visits using structured, pretested and interviewer-administered questionnaire. The questionnaire was designed to capture socio-demographic and economic characteristics, feeding pattern, health and environmental related information. To maintain consistency, the questionnaire was first translated from English to Amharic (the native language of the study area) and was retranslated back to English. The questionnaire was pre-tested on 5% of the total sample out of the study area; accordingly the acceptability and applicability of the procedures and tools were evaluated. Fourteen data collectors and three field supervisors working in the HDSS site were recruited for the study. Training regarding anthropometric measurements and techniques of interview was given to data collectors and supervisors.

Child weight was measured to the nearest 0.1 kg by the seca beam balance (German, Serial No. 5755086138219) with graduation of 0.1 kg and a measuring range of up to 25 kg. Weight was taken with light clothing and no shoes. Instrument calibration was done before weighing each child. Furthermore, the weighing scale was checked daily against the standard weight for accuracy. The length of a child (aged 6–23 months) was measured using a horizontal wooden length board in recumbent position, and read to the nearest 0.1 cm. To check edema, normal thumb pressure was applied on both feet for 3 s. The data collectors checked whether a shallow print remained on both feet or not when the thumb was lifted.

Early initiation of breastfeeding was defined as putting the newborn to the breast within 1 h of birth. Therefore, the study participants were ask as “how long after birth did you first put [name] to the breast even if your breast milk did not arrive yet?”. If the mother responded as within 1 h of delivery, it was considered as early initiation of breastfeeding, otherwise it was defined as late initiation of breastfeeding. Similarly, initiation of complementary feeding was defined as early initiation, timely initiation and lately initiation if the mother initiated complementary feeding to the index child before sixth month, at sixth month and after sixth months of the child’s age, respectively.

A standardized seven food group containing Dietary Diversity Score (DDS) was used to qualitatively assess the dietary intake of children [44]. A 24 h dietary recall method was used, accordingly the mothers were asked to report the food items consumed by the child in the previous 24-h preceding the data of survey. By considering four food groups as the minimum acceptable dietary diversity, a child with a DDS of less than four was classified as poor dietary diversity; otherwise it was deemed to have good dietary diversity.

The household wealth index was computed using a composite indicator for urban and rural residents by considering properties such as, selected household assets and size of agricultural land. Using Principal Component Analysis (PCA), the factor scores were summed and ranked into poor, medium and rich. Data were checked for completeness and its quality, on daily basis, by the field supervisors.

Data analysis

Data were edited, coded and entered into the EPI-info version 3.5.3 statistical software, and exported to SPSS version 20 for analysis. Nutrition related data (sex, age, height, weight and edema status) were analyzed using the WHO Anthro plus software. The Z-scores of indices, Weight-for-Height Z-score (WHZ) and Height-for-Age Z-score (HAZ) were calculated and compared using the WHO Multicenter Growth Reference Standard. A child whose HAZ less than −2 Standard Deviation (SD) from the reference population was defined as stunted, while a child with WHZ less than −2 SD from the reference population was classified as wasted [45].

Descriptive statistics, including frequencies and proportions were used to summarize the variables. Bivariate analysis was done individually for all independent variables with stunting and wasting. Variables with a p-values of <0.2 (child age and dietary diversity score, maternal education, occupation and postnatal vitamin-A supplementation, fathers education, household wealth status, availability of latrine, source of drinking water and main source of family food) in the bivariate analysis were entered to a multivariate logistic regression analysis to identify the independent determinants of stunting. Regarding the determinants of wasting, variables with a P-value of <0.2 (history of diarrheal morbidity and fever, maternal education and employment status) in the bivariate analysis were fitted to multivariate analysis. Both Crude Odds Ratio (COR) and the Adjusted Odds Ratio (AOR) with a corresponding 95% Confidence Interval (CI) were computed to show the strength of the association. In the multivariate logistic regression analysis, variables with a p-value of <0.05 were considered as statistically significant. Hosmer and Lemeshow goodness of fit test was checked and it was 0.77 indicating the model well fits the data.

Results

A total of 587 mother-child pairs were included for analysis, and the mean age (±Standard Deviation, SD) of children was 15.0 (±5.7) months. Most of the mothers had no formal education (71%), were housewives (60.6%) and currently married (90.1%). Nearly three-fourth (70.4) of the households accessed food for consumption mainly from their farm while one-quarter (26.2%) through purchasing from market (Table 1).
Table 1

Socio-demographic and economic characteristics of children (6–24 months) and their parents, Dabat District, Northwest Ethiopia, 2015

Characteristics

Frequency

Percent

Child age in months

 6–11

196

33.4

 12–24

391

66.6

Mean (±SD) age of children

(15.0 ± 5.7)

 

Head of the household

 Female

18

3.1

 Male

569

96.9

Mothers age

 15–34 years

371

63.2

 35–50 years

216

36.8

Marital status

 Currently unmarried

58

9.9

 Currently married

529

90.1

Household size

 ≤ 4

224

38.2

 5–7

280

47.7

 8–10

83

14.1

Maternal education

 No formal education

417

71.0

 Primary education

76

12.9

 Secondary education

94

16.0

Maternal employment status

 Housewife

356

60.6

 Farmer

143

24.4

 Othersa

88

15.0

Father education

 No formal education

389

66.3

 Formal education

198

33.7

Main source of family food

 Own production

413

70.4

 Purchasing

154

26.2

 Othersb

20

3.4

Wealth status

 Poor

210

35.8

 Medium

198

33.7

 Rich

179

30.5

a Students, unemployed, servant, own business

b Food donation from government and families

About half of the mothers (52.5%) took iron-folate supplements during pregnancy, but only few (1.7%) of them ate extra meal compared to their pre-pregnancy dietary habit. Though almost all of children (99.5%) were breastfed at one time in their life, only 61.5% continued to exclusively breastfed for 6 months. Only 4.3% of children consumed complementary food composed of a minimum dietary diversity. However, above three-fourth (78.9%) of children took vitamin-A supplementation in the previous 12 months prior to the data of survey while only 24.7% mothers were given the postnatal vitamin-A supplementation. One-fourth (24.4%) of the children had diarrheal morbidity in the past 2 weeks prior to the date of survey (Table 2). Despite two-third of households used unsafe source of water for consumption, only 2.4% mothers were found to treat water on regular basis (always) before consumption. Latrine was also available in 28.1% of the households (Table 3).
Table 2

Feeding practice, micronutrient supplementation and morbidity related characteristics of study participants, Dabat District, Northwest Ethiopia, 2015

Characteristics

Frequency

Percent

Feeding during pregnancy

 Less than before/usual

356

60.6

 As usual

221

37.6

 Greater than usual/extra foods

10

1.7

Prenatal iron-folate supplementation

 Yes

308

52.5

 No

279

47.5

Colostrum

 Given to the child

324

55.2

 Discarded

263

44.8

Ever breastfeeding

 Yes

584

99.5

 No

3

0.5

Initiation of breastfeeding

 Early initiation

333

57.0

 Late initiation

251

43.0

Exclusive breastfeeding

 Yes

361

61.5

 No

226

38.5

Pre-lacteal feeding

 Yes

137

23.3

 No

450

76.7

Complementary feeding initiation

 Early initiation

109

18.6

 Timely initiation

314

53.5

 Lately initiation

164

27.9

Bottle feeding in the previous 24 h

 Yes

40

6.8

 No

547

93.2

Dietary diversity score

 < 4 food groups

562

95.7

 ≥ 4 food groups

25

4.3

Maternal Vitamin A supplementation

 Yes

145

24.7

 No

442

75.3

History of fever in the previous 2 weeks

 Yes

237

40.4

 No

350

59.6

History of diarrheal disease in the previous 2 weeks

 Yes

143

24.4

 No

444

75.6

Child vitamin A supplementation in the previous 12 months

 Yes

463

78.9

 No

124

21.1

Table 3

Environmental health related characteristics of the households, Dabat District, northwest Ethiopia, 2015

Characteristics

Frequency

Percent (%)

Source of drinking water

 Safe sourcea

212

36.1

 Unsafe sourceb

375

63.9

Water treatment habit

 Not at all

550

93.7

 Sometimes

23

3.9

 Always

14

2.4

Availability of latrine

 

71.9

 Yes

165

28.1

 No

422

71.9

Waste disposal

 Appropriatec

74

12.6

 Inappropriated

513

87.4

Hand washing habit after toilet

 Not at all

71

12.1

 Sometimes

111

18.9

 Always

405

69

a Piped, protected well and spring water

b Unprotected well, spring and surface water

c Collected by municipality, buried and burned

d Dumped in street/open space, compound and river

The prevalence of stunting and wasting among children aged 6–24 months were 58.1% [95% CI; 50.3, 65.9%] and 17.0% [95% CI; 11.1, 22.9%], respectively. Besides, the burden of stunting and wasting among children aged 12–24 months was 44.6 and 11.6%, respectively, while it was 13.5 and 5.4% in infants aged 6–11 months.

In the bivariate analysis, child age, maternal education, occupation and postnatal vitamin-A supplementation, fathers’ education, household wealth status, availability of latrine and main source of family food were significantly associated with stunting. However, the multivariate logistic regression analysis detected that child age, maternal postnatal vitamin-A supplementation, latrine availability, main source of family food and household wealth status were remained significantly and independently associate with stunting.

Thus, the odds of stunting were 54% [AOR = 1.54; 95%: 1.02, 2.33] higher among children whose mothers did not receive postnatal vitamin-A supplementation compared to their counterparts. The odds of stunting among children aged 12–24 months were 3.24 [AOR = 3.24; 2.24, 4.69] times higher compared to infants aged 6–11 months. The higher likelihood of stunting was found among children from households without latrine [AOR = 1.76; 95% CI: 1.17, 2.66] and with poor wealth status [AOR = 2.20; CI: 1.42, 3.40]. Finally, the odds of stunting were 71% higher among children whose families accessed food for household consumption from their own farm [AOR = 1.71; 95% CI: 1.14, 2.57] compared to those children whose families accessed food from other sources (Table 4).
Table 4

Factors associated with stunting among children aged 6–24 months, Dabat District, Northwest Ethiopia, 2015

Variables

Stunting

COR [95% CI]

AOR [95% CI]

Maternal education

Yes (#)

No (#)

  

 No formal education

254

163

2.20 (1.39,3.46)

1.56 (0.91,2.69)

 Primary education

48

28

2.42 (1.30,4.50)

1.84 (0.92,3.63)

 Secondary and above education

39

55

1.00

1.00

Maternal occupation

 Housewife

201

155

1.49 (0.93,2.37)

0.96 (0.52,1.78)

 Farmer

99

44

2.58 (1.49,4.47)

1.41 (0.69,2.89)

 Othersa

41

47

1.00

1.00

Father education

 No formal education

238

151

1.45 (1.03,2.05)

1.09 (0.72,1.66)

 Formal education

103

95

1.00

1.00

Wealth status

 Poor

143

67

2.36 (1.56,3.57)

2.20 (1.42,3.40)*

 Medium

113

85

1.43 (0.98,2.21)

1.30 (0.83,2.02)

 Rich

85

94

1.00

1.00

Main source of family food

 Own production

256

157

1.71 (1.91,2.44)

1.71 (1.14,2.57)*

 Othersb

85

89

1.00

1.00

Source of drinking water

 safe source

111

101

1.00

1.00

 unsafe source

230

145

1.44 (1.03,2.03)

1.21 (0.79,1.84)

Availability of latrine

 Yes

77

88

1.00

1.00

 No

264

158

1.19 (1.33,2.75)

1.76 (1.17,2.66)*

Maternal Vitamin A supplementation

 Yes

73

72

1.00

1.00

 No

268

174

1.52 (1.04,2.22)

1.54 (1.02,2.33)*

Dietary diversity score

 < 4 food groups

330

232

1.81 (0.81,4.06)

1.17 (0.69,4.04)

 ≥ 4 food groups

11

14

1.00

1.00

Child age

 6–11 months

79

117

1.00

1

 12–24 months

262

129

3.01 (2.12,4.29)

3.24 (2.24,4.69) *

* Significant at p-value < 0.05

a Students, unemployed, servant, own business

b Purchasing, and donation from government or families

Regarding the determinants of wasting, both bivariate and multivariate analyses indicated that only diarrheal morbidity remained significantly and independently associated with wasting. Accordingly, the odds of wasting were 2.06 times [AOR = 2.06; CI: 1.29, 3.30] higher among children with history of diarrheal disease compared to those who had no history of diarrheal morbidity in the past 2 weeks prior to the date survey (Table 5).
Table 5

Factors associated with wasting among children aged 6–24 months in Dabat District, Northwest, Ethiopia, 2015

Variables

Wasting

COR (95%CI)

AOR (95%CI)

Maternal education

Yes (#)

No (#)

  

 No formal education

64

353

0.80 (0.34,1.03)

0.67 (0.35,1.25)

 Primary education

14

62

0.74 (0.35,1.57)

0.73 (0.33,1.60)

 Secondary education and above

22

72

1.00

1.00

Maternal occupation

 Housewife

49

307

0.55 (0.32,1.05)

0.63 (0.34,1.14)

 Farmer

32

111

1.05 (0.55,1.99)

1.21 (0.63,2.33)

 Others

19

69

1.00

1.00

History of fever in the past 2 weeks

 Yes

49

188

1.53 (0.99,2.34)

1.07 (0.61,1.86)

 No

51

299

1.00

1.00

Diarrheal morbidity in the past 2 weeks

 No

64

380

1.00

1.00

 Yes

36

107

2.00 (1.26,3.16)

2.06 (1.29,3.30)*

*Significant at a P-value of <0.05

Discussion

This study revealed that, the prevalence of stunting was 58.1% among children aged 6–24 months. The current burden of stunting suggests the severe public health significance of the problem [46]. Similar magnitude of stunting was also reported in Central Africa Republic (61.5%) [47] and Kenya (51%) [48]. However, the finding was higher than what was reported in Egypt (20.3%) [49]. The discrepancy might be related to variations in residence and level of income between the study participants. In contrast to the latter study, the participants of the current study were majorly rural inhabitants. Poor child feeding and caring practice and health care access is documented in the rural Ethiopia [38]. This suggests that unequal allocation of resources cause to inequalities in child health outcomes between rural and urban settlements [50]. In addition, stunting is more common in the rural areas [51]. On the other hand, the livelihood of the study participants is mainly depend on subsistence, low-yield and rain-fed farming. The output of subsistence farming is mostly for local requirement with little or no surplus for trade [52], which ultimately impairs the household food security status. Household food insecurity is associated with poor linear growth, stunting [53].

Compared to the WHO cut-off point to declare the public health importance of undernutrition, the prevalence of wasting (17.0%) existed as a critical public health problem [46]. The finding was in line with reports of other developing countries, such as Central Africa Republic (20.2%) [47] and Sri Lanka (17.1%) [54]. However, compared to this study, the lower prevalence of wasting is reported in the rural Cambodia (10%) [55]. The study in Cambodia was conducted among Food and Agriculture Organization (FAO) project beneficiaries which aimed to promote optimal IYCF practice and improve the household food security status through increasing market availability, production and diversification of food. Research findings from different low and middle income countries showed that improved agriculture is one of the key nutrition sensitive interventions to rectify maternal and child undernutrition [5658]. However, the agricultural practice in Ethiopia, including the study area, is rain feed, based on poor technologies, and there is also poor market regulation system for food products [59, 60].

The result of multivariable analysis showed that, the likelihood of being stunted was 2.20 times higher among children from the poor families compared to those from the rich families. The finding was supported by the reports elsewhere [61, 62]. The plausible explanation might be related to the negative effect of poor wealth status on the household food access, utilization of health services, availability of improved water sources, and sanitation facilities [63].

The results of the present study also detected that, the odds of stunting were increased among children from a household without latrine. Similarly, the previous reports in Africa indicated the decreased odds of childhood stunting in households with latrine [62, 64]. In fact, unfavorable health environment caused by inadequate sanitation increases vulnerability to communicable diseases which is considered as immediate causes of undernutrition, including stunting [63].

The uncommon finding of this study was increased odds of stunting among children whose families accessed food mainly from farm (own production). This might be due to low agricultural productivity and poor complementary feeding practice in the study area. In fact, own production of food does not necessarily mean ensuring per-capita food availability and nutritional security. In Ethiopia, including the study area, complementary food is mainly prepared from cereal (Teff, barely and sorghum) based food products where the traditional staple food called ‘Injera’ (a yeast-risen flatbread made of a blend of cereals) is usually served with legumes or pulses. Such feeding practices increase the vulnerability of infants and children to poor energy and micronutrient intake [65].

Children whose mothers did not receive the postnatal vitamin-A supplementation were found with increased odds of stunting compared to their counterparts. Improving vitamin-A status of children is one of the proven child survival strategies, specially it is found to significantly reduce risk of morbidity and mortality from infectious diseases [66, 67]. Frequent episodes of infectious disease, such as diarrhea and respiratory tract infections are strongly associated with higher risk of stunting [68]. In Ethiopia, most of the pregnant mothers are suffering from vitamin-A deficiency [69]. As a result, postnatal period is a window of opportunity to improve mothers vitamin-A status thereby increasing the retinol level of breast milk. By doing so, the breastfed infants will get adequate amount of vitamin-A which further helps to reduce the risk of infectious disease episodes through boosting their immunity.

Likewise, the odds of stunting were higher among children aged 12–24 months compared to those aged 6–11 months. This finding was in agreement with the report from Central Africa Republic, in which poor growth of children is correlated with old age of children [47]. Studies of other developing countries also claimed that stunting is less common in early infancy as they are on breastfeeding [70], however, because of inappropriate complementary feeding practice and higher nutritional demand, the risk of impaired linear growth increases as the child’s age advances [71].

Finally, this study reported that, children with history of diarrheal morbidity in the previous 2 weeks preceding the date survey were found with higher odds of developing wasting. Similar findings were also reported by the previous local studies [24, 34]. Obviously, diarrhea is associated with malabsorption of nutrients, significant nutrient and fluids loss and reduced appetite [72]. Delayed treatment due to mothers poor health seeking behavior and inappropriate home based management of diarrhea, such as fluid restriction and decreasing or stopping food intake are the commonly practiced in most of the mothers in Ethiopia, which in turn increases the vulnerability the child to develop wasting [73, 74].

This is one of the few studies revealing the magnitude of stunting and wasting in the most vulnerable population groups, children aged 6–24 months. Nevertheless, it is not free from some of limitations. Firstly, though intensive training, regular field supervision and pre-test were done, the study was not free from measurement and recall bias while conducting anthropometric and child feeding practice assessments, respectively.

Conclusions

The prevalence of stunting and wasting are high in Dabat HDSS site which indicates that undernutrition is the severe public health concern among children. In addition, household wealth status, latrine availability, maternal postnatal vitamin-A supplementation, child age and main source of family food were significantly associated with stunting. But, only diarrheal morbidity was identified as the key determinant of wasting. Therefore, improving socio-economic status, latrine and maternal postnatal vitamin-supplementation coverage are essential to mitigate the high burden of stunting. It is also crucial to strengthen the implementation of the current measures focusing on reducing the occurrence of childhood diarrheal morbidity as well as early diagnosis and management of the problem.

Abbreviations

PCA: 

Principal Component Analysis

GDP: 

Gross domestic production

WHO: 

World Health Organization

AOR: 

Adjusted Odds Ratio

COR: 

Crude Odds Ratio

CI: 

Confidence Interval

IYCF: 

Infant and young child feeding

DDS: 

Dietary Diversity Score

SD: 

Standard Deviation

HDSS: 

Health and Demographic Surveillance System

Declarations

Acknowledgements

We would like to thank mothers for their willingness to participate in the study. Our appreciation will also go to the university of Gondar and Dabat DHSS site for their financial and material support, respectively.

Funding

This study was funded by the University of Gondar. The views presented in the article are of the author and not necessarily express the views of the funding organization. The University of Gondar was not involved in the design of the study, data collection, analysis and interpretation.

Availability of data and materials

Data will be available upon request from the corresponding author.

Authors’ contribution

AT conceived the study, developed the tool, coordinated data collection, and carried out the statistical analysis and drafted the manuscript. GAB participated in the design of the study, developed the tool, and coordinated data collection. TD conceived the study, participated in the statistical analysis, and drafted the manuscript. MMW conceived the study and review the drafted manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Ethical clearance was obtained from the Institutional Review Board of the University of Gondar (Ref No. 550/09/07). An official permission letter was secured from the Dabat HDSS site. The study did not involve any invasive procedures and reporting of any response for intervention. So, the study posed a low or not more than a minimal risk to the study participants. Accordingly, all eligible mothers were informed about the purpose of the study, and interview was held only with those who agreed to give verbal consent to participate. The right of a participant to withdraw from the study at any time, without any precondition was disclosed unequivocally. Moreover, the confidentiality of information was guaranteed by using code numbers rather than personal identifiers and by keeping the questionnaire locked.

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Authors’ Affiliations

(1)
Department of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar
(2)
Department of Health Service Management and Heath Economics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar

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