Background
Undernutrition among children continues to be a major public health problem throughout the world. Globally, one in every three under-five children is undernourished. In 2018, about 155 million children under the age of 5 years were stunted and 52 million wasted worldwide. Asia and Africa contributed 56 and 38 % of stunting and 69 and 27⋅2 % of wasting, respectively, of the global undernutrition burden(1). Wasting is a measure of acute undernutrition, and it may result from inadequate food intake or from a recent episode of illness that caused weight loss. Stunting is a sign of chronic undernutrition that reflects a failure to receive adequate nutrition over a long period and that can also be affected by recurrent and chronic illness(Reference Tekile, Woya and Basha2).
In the Amhara Region, the prevalence of stunting declined from 56⋅6 % in 2005 to 52 % in 2011; the prevalence of wasting decreased from 14⋅2 % in 2005 to 9⋅9 % in 2011 and the prevalence of being underweight sharply decreased from 48⋅9 % in 2005 to 33⋅4 % in 2011. The prevalence of stunting declined from 58 % in 2000 to 44 % in 2011 in Ethiopia. The prevalence of wasting changed from 12 % in 2000 to 10 % in 2011. The prevalence of being underweight steadily decreased from 41 % in 2000 to 29 % in 2011(3). Although the prevalence of undernutrition in the Amhara Region has declined, still it is a major public health problem(Reference Debela, Shively and Holden4).
Undernutrition in children occurs due to the interplay of several factors, which include variables related to the maternal age, maternal education, poor feeding practice, maternal nutritional status, parity and multiple births, sex of the child, illness, birth interval and immunisation status, poor wealth status, large families, water and sanitation, place of residence and other factors relating to health services utilisation(Reference Khan, Khan and Zia-ul-Islam5).
Although a few studies have been carried out on the identification of factors that are associated with children under 5 years old of undernutrition in the Amhara Region, none of them uses the nationally representative data for the Amhara Region. The effort made in decreasing under-five children's undernutrition in the region is still high, and more effort is needed to improve the barriers for further reduction. More research studies are, therefore, required to inform policymakers to implement appropriate intervention programmes. To address these gaps, an all-inclusive cross-sectional analysis of the recent 2016 Ethiopian Demographic Health Survey (EDHS) was done, to explore the potential risk factors of undernutrition among under-five children in Amhara Region, Ethiopia.
Methods
Description of the study design and area
A cross-sectional study design was used for the present study. The present study was conducted in the Amhara regional state which is located in the northwestern and northcentral parts of Ethiopia. According to the 2007 Census, the state's population birth weight was 17 214 056 of which 8 636 1875 were males. The urban residents of the region were 2 112 220 and its rural residents were 15 101 836(6).
Source of data
The data for the present study was extracted from the EDHS 2016. The Central Statistics Agency (CSA), the Ministry of Health (MOH) and the Ethiopian Public Health Institute together surveyed from 18 January 2016 to 27 June 2016, where the United States Agency for International Development (USAID) funded the project. The authors have got permission from the ICF-DHS program to use the EDHS data and access it through https://www.dhsprogram.com/data/dataset_admin/login_main.cfm. The 2016 EDHS used a two-stage stratified sampling to select households. In the first stage, there were 645 enumeration areas (202 in urban and 443 in rural areas). About 974 (501 males and 473 females) under-five children from the Amhara Region were considered for the present study. The present study considered live children age 0–59 months with anthropometry data in the analysis of determinants of nutritional status among children under age 5 in the Amhara Region. Missing values in the 2016 EDHS dataset were not included in the analyses.
Study variables
The dependent variables for the present study are the undernutrition status of under5-year children (stunting, underweight and wasting). A child whose height for age Z-score is below minus two standard deviations (−2sd) from the median of the reference population is considered as stunting. If the weight for age Z-score is below minus two standard deviations (−2sd) from the median of the reference population, then the child is underweight. Children whose weight for height Z-score is below minus two standard deviations (−2sd) from the median of the reference population are considered as wasting. Malnutrition indicators were defined using the WHO child growth standards(Reference Tekile, Woya and Basha2).
The determinants of stunting, wasting and underweight in the present study were selected from the available similar studies on the subject(Reference Tariq, Sajjad and Zakar7–Reference Akombi, Agho and Merom11). The risk factors associated included socio-demographic, maternal and child factors. Socio-demographic–maternal factors selected were the types of residence, household wealth index, mothers’ educational level, mothers’ body mass index (BMI), religion, the type of toilet facility, sex of household head and sources of drinking water. Child-level factors were the sex of the child, child age, the type of birth, the number of living children and birth weight.
Statistical data analysis
The data were extracted, edited and analysed by using SPSS version 23 for Windows. Descriptive statistics such as frequencies and proportions were used to summarise the distribution of selected background characteristics of the sample. Bivariate logistic regression was performed to analyse the crude odds ratio (COR), and a variable with a P-value of less than 0⋅25 was transported into multivariable binary logistic regression analyses to analyse the adjusted odds ratio (AOR) and to identify the determinants of undernutrition of children under 5 years old. The dependent variables for bivariate and multivariable logistic regression analyses were stunting, wasting and underweight. Finally, variables with P-values <0⋅05 in the multivariable logistic regression model were taken as statistically significant.
Results
Our population included 974 children under the age of 5 years from the Amhara Region who were considered in this research. The prevalence of stunting, underweight and wasting in the Amhara Region was 46⋅3, 28⋅4 and 9⋅8 %, respectively. About 23⋅1 % of children were both stunted and underweight, 7⋅3 % were both underweight and wasting and 4⋅5 % of children had all three conditions.
Of that 23⋅3 % were >4 kg birth weight and only 2⋅9 % were multiple birth types. About 74⋅9 % of interviewed mothers were illiterate and only 2⋅1 % of them attended diploma and above. About 42⋅6 % of children were found between 0 and 24 months, and more than half (51⋅3 %) were males. Only 9⋅1 % of the respondents were from urban areas and 30⋅2 % were in the rich wealth index. About 19⋅8 % of children's mothers were underweight.
Determinants of stunting
Among the factors considered in the present study, the age of child in months, birth weight, mother educational level, sex of household head and sources of drinking water were associated with stunting. The log odds of stunting was higher among children in the age group of 25–47 months (AOR 1⋅57; 95 % CI 1⋅05, 2⋅35) and 48–59 months (AOR 1⋅06; 95 % CI 0⋅80, 1⋅49), respectively, as compared with the age group of 0–24 months. Compared with children >4 kg birth weight at birth, the odds of stunting among children in the 2⋅5–4 kg birth weight were 0⋅01 times lower. The odds of stunting among children in the <2⋅5 kg birth weight were 1⋅60 times higher compared with children >4 kg birth weight at birth.
The risk of stunting among children whose mothers attended primary education was 1⋅07 (AOR 1⋅07; 95 % CI 0⋅76, 1⋅50) times more compared with children whose mothers did not attend education. The risk of being stunted among children whose mothers attended secondary education was 0⋅70 times less compared with children whose mothers were illiterate. The risk of stunting among children whose father household head was 0⋅49 times less compared with children whose mother household headed. Children from households that used unimproved drinking water were 1⋅47 (AOR 1⋅47; 95 % CI 1⋅11, 1⋅95) times more likely to be at risk of stunting than children from households that used improved water (Table 1).
Table 1. Bivariate and multivariable logistic regression of risk factors associated with stunting on under-five children in Amhara Region, Ethiopia, EDHS 2016
(Odds ratios and 95% confidence intervals)
AOR, adjusted odds ratio; COR, crude odds ratio; CI, confidence interval; 1, reference.
* P-value <0⋅05 is considered significant.
** P-value <0⋅01 is considered significant.
Determinants of underweight
The birth weight was associated with underweight (P < 0⋅05). The risk of being underweight was 0⋅22 times less likely among children that were aged 25–47 months than those aged 0–24 months. The risk of being underweight was 1⋅36 times more likely among children that were aged 48–59 months than those aged 0–24 months. The risk of being underweight for children whose mother attended primary and secondary education were 0⋅23 and 0⋅35 times lower than children whose mothers who did not attend formal education, respectively. Children from a household with rich economic status were 0⋅09 times less likely to be underweighted compared with children living in a household with poor household economic status. Children from rural areas were 1⋅16 times more likely to be underweight compared with children from urban areas. Children who were born with <2⋅5 kg birth weight were 1⋅80 times more likely to be underweight than children born >4 kg birth weight (AOR 1⋅80; 95 % CI 0⋅89, 3⋅66) and children who had born with 2⋅5–4 kg birth weight were 1⋅56 times more likely to be underweighted than children born >4 kg birth weight (AOR 1⋅56; 95 % CI 1⋅05, 2⋅33) (Table 2).
Table 2. Bivariate and multivariable logistic regression of risk factors associated with underweight under-five children in Amhara Region, Ethiopia, EDHS 2016
(Odds ratios and 95 % confidence intervals)
AOR, adjusted odds ratio; COR, crude odds ratio; CI, confidence interval; 1, reference.
* P-value <0⋅05 is considered significant.
Determinants of wasting
Results of the multivariable binary logistic regression model showed that the type of toilet facility and sex of household head were significantly associated with wasting. Children living in a household with improved toilet type were 0⋅48 less likely to be wasting compared with children living in a household with unimproved toilet type. Children from a male household head were 1⋅99 times higher compared with children from a female household head. Children from the rich household were 0⋅32 times less likely to be wasted compared with children living in a household with poor household economic status.
The risk of wasting was 1⋅08 and 1⋅52 times higher among children of 25–47 and 48–59 months than those of 0–24 months, respectively. The odds of wasting children from rural areas were 1⋅18 times higher compared with children from urban areas. The odds of wasting were 0⋅04 times lower among female children than male children. The risk of being wasted was 2⋅96 times higher among children who were born from illiterate mothers than those born from diploma and above holder mothers. Children who lived in household members >4 were 1⋅17 times more likely to be wasted than children who lived in household members of 1–2 (AOR 1⋅17; 95 % CI 0⋅59, 2⋅33) (Table 3).
Table 3. Bivariate and multivariable logistic regression of risk factors associated with wasting on under-five children in Amhara Region, Ethiopia, EDHS 2016
(Odds ratios and 95 % confidence intervals)
AOR, adjusted odds ratio; COR, crude odds ratio; CI, confidence interval; 1, reference.
* P-value <0⋅05 is considered significant.
** P-value <0⋅01 is considered significant.
Discussion
In the present study, the prevalence of undernutrition and associated factors in the Amhara Region was assessed. The prevalence of stunting, underweight and wasting in the Amhara Region was 46⋅3, 28⋅4 and 9⋅8 %, respectively. In the present study, stunting and underweight are higher than the studies conducted in Ethiopia which were 38⋅3 and 23⋅3 %(Reference Tekile, Woya and Basha2), in Dale district 25⋅6 and 19 %(Reference Wolde, Berhan and Chala12) and in Takusa district 36⋅5 and 19⋅5 %, respectively(Reference Nigatu, Woreta and Akalu13). The prevalence of stunting and underweight in the present study is higher than the finding reported in Nairobi peri-urban slum 30⋅2 and 14⋅9 %, respectively(Reference Chesire, Orago and Oteba14), but lower than the findings in Pakistan 489⋅2 and 39⋅5 %, respectively(Reference Khan, Turab and Khan15). This could be because the households lack knowledge, attitude and practices (KAP) on how to feed their children and themselves(Reference Bantamen, Belaynew and Dube16). Although the feeding practices for children in Ethiopia are generally poor, the complementary feeding practices are worse in the Amhara Region than in other parts of Ethiopia as a whole(Reference Molla, Ejigu and Nega17). The prevalence of wasting in the present study is lower compared with the study conducted in Ethiopia 10⋅1 %(Reference Tekile, Woya and Basha2), in Haramaya district 10⋅7 %(Reference Yisak, Gobena and Mesfin18), in Dale Woreda 14 %(Reference Wolde, Berhan and Chala12), in Pakistan 10⋅7 %(Reference Khan, Zaheer and Safdar19) and 16⋅2 %(Reference Khan, Turab and Khan15) and in Tanzania 24⋅7 %(Reference Mgongo, Chotta and Hashim20). The prevalence reported in the present study is higher compared with the one reported in Nairobi peri-urban slum 4⋅5 %(Reference Chesire, Orago and Oteba14). This divergence might be due to this region, it is a common practice to sell more nutritious food items such as legumes (beans, peas and chickpeas), sheep, goat, cattle, milk and milk products since they earn better income by selling these agricultural products rather than feeding these nutritious food items to their children(Reference Kumera, Tsedal and Ayana21).
Among the factors considered in the present study, the age of child in months, birth weight, mothers’ educational level, sex of household head and sources of drinking water were associated with stunting. The log odds of stunting were higher among children in the age group of 25–47 and 48–59 months, respectively, as compared with the age group of 0–24 months. This finding is in line with the studies conducted in Ethiopia(Reference Tekile, Woya and Basha2), in Haramaya district(Reference Yisak, Gobena and Mesfin18), in Pakistan(Reference Khan, Zaheer and Safdar19) and in Kilimanjaro Region, Tanzania(Reference Mgongo, Chotta and Hashim20). Compared with children >4 kg birth weight at birth, the odds of stunting among children in the 2⋅5–4 kg birth weight were 0⋅01 times lower. The odds of stunting among children in the <2⋅5 kg birth weight at birth were 1⋅60 times higher compared with children >4 kg birth weight at birth. This finding is supported by a study conducted previously in Southern Nations, Nationalities and Peoples’ Region, Ethiopia(Reference Ermias22).
The risk of stunting among children whose mothers attended secondary education was 0⋅70 times less compared with children whose mothers never attended formal education. This finding is consistent with the study conducted in Bangladesh(Reference Siddiqi, Haque and Goni23) and in Pakistan(Reference Khan, Zaheer and Safdar19). Children born from educated women suffer less from stunting in children. Maternal education has been associated with nutrition outcomes among children in studies in various settings including Jamaica(Reference Handa24). The risk of stunting among children whose father household head was 0⋅49 times less compared with children whose mother household headed. Children from households that used unimproved drinking water were 1⋅47 times more likely to be at risk of stunting than children from households that used improved water. This finding is supported by the result of similar studies conducted in Haramaya District, Eastern Ethiopia(Reference Yisak, Gobena and Mesfin18).
The birth weight was associated with underweight (P < 0⋅05). The risk of being underweight was 1⋅36 times more likely among children that were aged 48–59 months than those aged 0–24 months. This finding is supported by the study conducted in Ethiopia(Reference Tekile, Woya and Basha2). The risk of being underweight for children whose mother attended primary and secondary education were 0⋅23 and 0⋅35 times lower than children whose mothers who did not attend formal education, respectively. This finding is supported by the study conducted in Ethiopia(Reference Tekile, Woya and Basha2) and in Pakistan(Reference Khan, Zaheer and Safdar19). The sources of discrepancy might be due to developing countries especially, maternal education has stronger child health and nutritional associations than paternal education(Reference Vollmer, Bommer and Krishna25). It is also widely perceived that women, on average, wish to have fewer children than men and those mothers devote more resources to their children than fathers do(Reference Ashraf, Field and Lee26).
Children from a household with rich economic status were 0⋅09 times less likely to be underweight compared with children living in a household with poor household economic status. This finding is supported by the study conducted in Ethiopia(Reference Tekile, Woya and Basha2) and in Pakistan(Reference Khan, Zaheer and Safdar19). Children from rural areas were 1⋅16 times more likely to be underweight compared with children from urban areas. This finding is in agreement with the study conducted in Takusa district, Northwest Ethiopia(Reference Nigatu, Woreta and Akalu13). While ample evidence documents that urban children generally have better nutritional status than their rural children. The environment, choices and opportunities of urbanites differ greatly from those of rural dwellers from employment conditions to social and family networks to access to health care and other services(Reference Smith, Ruel and Ndiaye27). Female children were 1⋅06 times more likely to be underweighted as compared with male children. The present study is against the studies conducted in Ethiopia(Reference Tekile, Woya and Basha2), in Pakistan(Reference Khan, Turab and Khan15), in Bule Hora district, South Ethiopia(Reference Asfaw, Wondaferash and Taha28) and in Dale Woreda, southern Ethiopia(Reference Wolde, Berhan and Chala12). Children who were born with a <2⋅5 kg birth weight were 1⋅80 times more likely to be underweighted than children born >4 kg birth weight, and children who had born with 2⋅5–4 kg birth weight were 1⋅56 times more likely to be underweight than children born >4 kg birth weight. This finding is in agreement with the study conducted in Ethiopia(Reference Tekile, Woya and Basha2) and in Dale Woreda, southern Ethiopia(Reference Wolde, Berhan and Chala12).
Results of the multivariable binary logistic regression model showed that the type of toilet facility and sex of household head were significantly associated with wasting. Children living in a household with improved toilet type were 0⋅48 less likely to be wasting compared with children living in a household with unimproved toilet type. This finding is in agreement with the finding in Bule Hora district, South Ethiopia(Reference Asfaw, Wondaferash and Taha28). Children from a male household head were 1⋅99 times higher compared with children from a female household head. Children of the rich household were 0⋅32 times less likely to be wasting compared with children living in a household with poor household economic status. This finding is supported by the study conducted in Ethiopia(Reference Tekile, Woya and Basha2) and in Pakistan(Reference Khan, Zaheer and Safdar19).
The risk of wasting was 1⋅08 and 1⋅52 times higher among children of 25–47 and 48–59 months than those of 0–24 months, respectively. This finding is supported by the studies conducted in Dale Woreda, southern Ethiopia(Reference Wolde, Berhan and Chala12) and in Kilimanjaro Region, Tanzania(Reference Mgongo, Chotta and Hashim20). The odds of being wasting of children from rural areas were 1⋅18 times higher compared with children from urban areas. This finding is consistent with the study conducted in Haramaya District, Eastern Ethiopia(Reference Yisak, Gobena and Mesfin18). The study results suggest that lower urban malnutrition is due to a series of more favourable socioeconomic conditions, in turn leading to better-caring practices for children and their mothers(Reference Smith, Ruel and Ndiaye29). The odds of wasting were 0⋅04 times lower among female children than male children. The present study is in line with the studies conducted in Bule Hora district, South Ethiopia(Reference Asfaw, Wondaferash and Taha28), in Dale Woreda, southern Ethiopia(Reference Wolde, Berhan and Chala12), in Kilimanjaro Region, Tanzania(Reference Mgongo, Chotta and Hashim20) and in Pakistan(Reference Khan, Zaheer and Safdar19). The odds of wasting was 1⋅17 times higher among children who lived in household members of >4 children who had lived in household members of 1–2. This finding is in line with the study conducted in Dale Woreda, southern Ethiopia(Reference Wolde, Berhan and Chala12). Households with fewer children could be expected to be more capable than households with higher real income to provide their members with an adequate dietary intake(Reference Magallanes30).
Conclusion
The present study showed individual- and community-level factors determined childhood undernutrition in the Amhara Region children. Among the factors considered in the present study, the age of child in months, birth weight, mother educational level, sex of household head, sources of drinking water and the type of toilet facility were significantly associated with undernutrition in the Amhara Region. This finding would be directing the authors that undernutrition among under-five children was one of the public health problems in the Amhara Region. The potential risk factors should be considered to develop strategies for reducing undernutrition in the Amhara Region. Improving the living standards of children is important to get better health care, to enhance the child's nutritional status and to reduce child mortality. Finally, further researches on under-five children are recommended to investigate additional undernutrition factors.
Limitations of the study
A limitation was the use of a cross-sectional study design which could only generate a hypothesis regarding the role of independent variables on the nutritional status of children but not their cause and effect relationships.
Acknowledgements
The authors thank the Ethiopia Central Statistical Agency for permitting us to use the data for our study.
Funding was not received for the present study.
D. K. conceived the idea, drafts the manuscript and interpreted the results. D. K., Y. M., E. W. and H. A. performed statistical analysis and help in results interpretation and writing. D. K. and Y. M. critically reviewed the manuscript.
Ethics approval and consent to participate The EDHS 2016 have taken into account the standard ethical guidelines of the measure DHS program. The authors have obtained the data from the measure DHS Web site (https://www.dhsprogram.com/data/dataset_admin/index.cfm).
The authors declare that they have no conflict of interests.
Open access
