Abstract
Objective
The objective of the study was to assess the prevalence of stunting and associated factors among under-five children of Wukro town, Tigray, Ethiopia, 2017–2018.
Result
Totally 394 under-five children were participated in this study with a response rate of 98.5%. A total of 222 (56.3%) of respondents were females and 106 (26.95%) were in the age group of 12–23 month. One hundred ninety-eight (50.3%) of the participants were between 2 and 3 in birth order and 194 (49.2%) had 4 to 5 house hold size. The overall prevalence of stunting was 194 (49.2%). Being female and presence of washing facilities nearby latrine were significantly associated with stunting. Under-five female children were 35.4% lower odds of stunting compared to male children (p = .041, OR = .644, and 95% CI (.422, .983)).
Electronic supplementary material
The online version of this article (10.1186/s13104-019-4535-2) contains supplementary material, which is available to authorized users.
Keywords: Stunting, Factors, Wukro, Tigray region, Ethiopia
Introduction
Under-nutrition causes 175 deaths per 1000 children in low-income compared to high-income countries. Malnutrition affects all individuals, but young children are the most vulnerable because of their high nutritional requirements for growth and development [1, 2]. Globally in 2011, 165 million children were stunted and these burdens were not distributed evenly worldwide [3]. Children who suffered from chronic malnutrition were more likely to achieve lower educational levels than healthy children [4]. Numbers of children stunted were declined from 255 million in 1999 to 159 million in 2014 [5].
Stunting and other forms of under nutrition are clearly a major contributing factor to child mortality, disease, and disability. A severely stunted child faces four times higher risk of dying, poor school achievement and poor school performance [3]. In Ethiopia, 40% and 19% of under-five children were moderately, and severely stunted respectively [6]. Similarly 16% of repetitions in school were because of chronic malnutrition and Ethiopia costs 55.5 billion-ETB for under nutrition prevention and management which accounts for 16.5% of the country’s GDP. The country had an estimated 378,591 child mortality related with under nutrition, from 2004 to 2009 [4]. Therefore the aim of this study was to assess the prevalence of stunting and associated factors among under-five children of Wukro town, Tigray region, Ethiopia.
Main text
Methods
Study design, period and participants
A community-based cross-sectional study design was conducted among under-five children from December 2017 to January 2018.
Sample size and sampling procedure
A single population proportion formula was employed to estimate the sample size with a consideration of
p = 45.7% stunting (Ethiopian EDHS 2014)
Z = standard normal distribution curve value for the 95% confidence interval (1.96)
d = the margin of error or accepted error = 5% (.05)
5% non-response and the final sample size for this study were 400 participants.
Wukro town has three kebeles, out of this kebele 01 and 03 were included in the study randomly through the lottery method. Proportional allocation of subjects to each kebele was employed based on the number of under-five children and finally the study participants were selected through a systematic method based on the arrangement of houses. For households with more than one child, one child was selected randomly.
Data collection instruments and procedure
A structured questionnaire was developed by the principal investigator after reviewing different related literatures with required modification based on outcome variables and their predictors. The questionnaire was prepared first in English then translated to the local language (Tigrigna). To check the consistency of the translation; retranslation to English was done by another translator.
The questionnaire includes socio-demographic characteristics of care giver/family and child, child health condition, maternal health care, environmental health and anthropometric measurements.
The questionnaire was pre-tested on 5% of the same source population other than sampled population. Based on the pre-test, questions were revised, and edited. Finally, Tigrigna version questionnaire was used for data collection.
Variables
Dependent variable: under-five stunting.
Independent variable: socio-demographic variables, child caring practices, maternal characteristics and environmental Health condition.
Definition of terms
Stunting: Height-for-age below − 2 SD of median of the standard curve and severe stunting below − 3 SD [7].
Height/length measurement: Body length of children up to 23 months age was measured without shoes and the heights were read to the nearest 0.1 cm by using a horizontal wooden length board with movable headpiece and the infant in a recumbent position. However, the height of children 24 months and above was measured using a vertical wooden height board by placing the child on the measuring board, and child standing upright in the middle of board. The child’s head, shoulders, buttocks, knees and heels touching the board.
Data processing and analysis
Anthropometric result was entered into ENA to calculate Z-score. The collected data and result of Z-score were entered into SPSS version 20.0. Multi-collinearity was assessed through VIF and was found satisfied. Variables with a p-value less than .25 on bi-variate analysis were entered into the multivariable analysis. On multi-variant logistic regression analysis adjusted odds ratio with its 95% confidence interval was used to ascertain the association between dependent and independent variables. The level of significance was taken at α < .05.
Results
Socio-demographic characteristics
Totally 394 under-five children with a response rate of 98.5% were participated in the study. Out of this 222 (56.3%) of participants were under-five female children. Orthodox christianity was the dominant religion consisting of 341 (86.5%) and 360 (91.4%) of the head of households were father. Almost all children were delivered at health facilities and cared by their mother but 104 (26.4%) decided on the use of money by mother and father jointly (Additional file 1: Table S1).
The main reason to stop taking breast feeding of under-five children was 167 (78%) because of age, and 392 (99.5%) of children was immunized according to their age. Among the children, 89 (22.6%) were experienced diarrhea in the last 2 weeks (Table 1).
Table 1.
Variable | Frequency | Percent (%) | |
---|---|---|---|
Child ever taken to health facility | Yes | 144 | 36.5% |
No | 250 | 63.5% | |
Diarrhea in the last 2 week | Yes | 89 | 22.6% |
No | 305 | 77.4 | |
ARI in the last 2 week | Yes | 55 | 14.0 |
No | 339 | 86.0 | |
Fever in the last 2 week | Yes | 29 | 7.4 |
No | 365 | 92.6 | |
Measles in the last 2 week | Yes | 8 | 2.0 |
No | 386 | 98.0 | |
Time of initiation of Breast feeding | Within one hour | 376 | 95.4 |
1-24 hour | 17 | 4.3 | |
After 24 hour | 1 | .3 | |
Child still taking breast feeding | Yes | 181 | 45.9 |
No | 213 | 54.1 | |
Duration of breast feeding | <24 month | 108 | 50.7 |
>=24 month | 105 | 49.3 | |
Initiation of complementary feeding | Before six month | 8 | 2.0 |
At 6 month | 334 | 84.8 | |
>6 month | 19 | 4.8 | |
Not introduced still now | 33 | 8.4 | |
Materials used for complementary feeding | Cup | 148 | 41.0 |
Bottle | 69 | 19.1 | |
Spoon | 143 | 39.6 | |
Hand | 1 | 0.3 | |
Vitamin A received in the last 6 month | Yes | 310 | 78.7 |
No | 84 | 21.3 | |
Preceding birth interval of baby | <=1 year | 390 | 99.0 |
1-2 year | 4 | 1.0 | |
Number of under five children | 1 | 317 | 80.5 |
>=2 | 77 | 19.5 |
Seventy-six (19.3%) of mothers gave their first birth before 18 years, in addition 283 (71.8%) and 368 (93.4%) of mothers were taken extra food during pregnancy and lactation respectively. A total of 388 (98.5%) of mothers had ANC follow up and 303 (76.9%) used FP but Depo-Provera were used by 230 (75.9%) mothers.
In all of the households, the sources of drinking water were tap water, and all households had nearby water source and latrine (Table 2).
Table 2.
Variable | Frequency | Percent (%) | |
---|---|---|---|
Type of latrine | Private pit/wooden slab | 115 | 29.2 |
Private pit/cement slab | 279 | 70.8 | |
Presence of washing facilities nearby latrine | Yes | 258 | 65.5 |
No | 136 | 34.5 | |
Use of soap for hand washing after toileting | Yes | 313 | 79.4 |
No | 81 | 20.6 | |
Type of waste disposal method | Open field | 1 | .3 |
Common pit | 393 | 99.7 | |
Care giver wash hand before preparing food | Yes | 392 | 99.5 |
No | 2 | .5 | |
Floor of the house | Earth floor | 59 | 15 |
Ceramics floor | 335 | 85.0 |
Prevalence of under-five stunting
In this study the overall prevalence of stunting was 194 (49.2%).
Factors associated with under-five stunting
Before multivariate analysis, multi-collinearity diagnosis was assessed and was not found. On multivariate analysis sex of the child and presence of washing facilities nearby latrine were significantly associated with stunting (Table 3).
Table 3.
Variable | Nutritional status | COR (95% CI) | AOR (95% CI) | P-Value | |
---|---|---|---|---|---|
Normal, n (%) | Stunted, n (%) | ||||
Sex of the child | |||||
Male | 74 (43%) | 98 (57%) | 1 | 1 | |
Female | 126 (56.8%) | 96 (43.2%) | .575 (.385, .860) | .644 (.422, .983) | .041* |
Mother’s marital status | |||||
Single | 5 (31.3%) | 11 (68.7%) | 1 | 1 | |
Married | 189 (51.5%) | 178 (48.5%) | .428 (.146, 1.257) | .378 (.057, 2.529) | .316 |
Divorced | 6 (54.5%) | 5 (45.5%) | .379 (.077, 1.856) | .394 (.070, 2.207) | .290 |
Mother’s Occupation | |||||
House wife | 154 (50%) | 154 (50%) | 1 | 1 | |
Merchant | 28 (49.1%) | 29 (50.9%) | 1.036 (.588, 1.823) | .699 (.354, 1.383) | .304 |
Government employed | 18 (62.1%) | 11 (37.9%) | .611 (.279, 1.337) | .595 (.239, 1.481) | .264 |
Monthly Income of family | 200 (50.8%) | 194 (49.2%) | 1.000 (1.00, 1.00) | 1.000 (1.00, 1.00) | .853 |
Gestational Age of the child | 200 (50.8%) | 194 (49.2%) | .875 (.722, 1.060) | .957 (.772, 1.187) | .691 |
Birth weight of the baby | 200 (50.8%) | 194 (49.2%) | 1.000 (.999, 1.00) | 1.000 (.999, 1.000) | .009 |
Presence of fever in the last two weeks | |||||
Yes | 18 (62.1%) | 11 (37.9%) | 1 | 1 | |
No | 182 (49.9%) | 183 (50.1%) | 1.645 (.756, 3.58) | 1.797 (.760, 4.246) | .182 |
Mother take extra food during lactation | |||||
Yes | 183 (49.7%) | 185 (50.3%) | 1 | 1 | |
No | 17 (65.4%) | 9 (34.6%) | .524 (.228, 1.205) | .476 (.196, 1.156) | .101 |
Presence of washing facilities nearby latrine | |||||
Yes | 146 (56.6%) | 112 (43.4%) | 1 | 1 | |
No | 54 (39.7%) | 82 (60.3%) | 1.979 (1.297,3.021) | 2.363 (1.320,4.229) | .004* |
*variables which have significant association with stunting
Discussion
Prevalence of under-five stunting was high in Wukro town. The study noted that sex of the child, absence of diarrhea in the last 2 week, and presence of washing facilities nearby latrine were significantly associated with under-five stunting. There is high prevalence of under-five stunting which could a possible alarm the government on children failure to grow physically and mentally that result on poor productivity and school performance during adolescent and adulthood time.
According to this study 376 (95.4%) of under five children were initiated breast feeding within 1 h of delivery, which is comparably higher than study done in Oromia Region [8]. The difference might be due to dissemination of information on the advantage of early initiation breast feeding through Medias and health care workers and the possible reason for this is due time difference.
The result of this study indicated that 96 (24.3%) and 98 (24.9%) of under-five children were stunted and severely stunted respectively. This is consistent with the study conducted in Shire Endassilasie, Tigray [9] but comparatively lower than miniEDHS, 2014, [6]. The discrepancy might be due to small sample size compared to that of national data of mini EDHS, 2014.
According to this study female under-five children were lower odds (35.4%) of stunting compared male. This is consistent with the study conducted in Somali region [10]. Most of the studies in Ethiopia indicated that male children are more stunted than their counterparties.
The prevalence of stunting in the study area was 49.2% which was almost comparable with studies conducted in Amhara region (51.1%) [11], Sidama zone (50.3%) [12], and Oromia Regional State (47.6%), [8] but relatively higher than the national figure (38%) [13], and other parts of the country, like 26.6% in southern region [14] and 24.9% in Northwest Ethiopia [15]. However, it was lower than the finding from Southeast Amhara region (60.6%) [16].
Conclusion and recommendations
Based on the finding of this research significant numbers of mothers were not taken extra food during pregnancy and lactation. There was high prevalence of stunting of under-five children. Being male, and presence of washing facilities nearby latrine were associated with increased risk of stunting. Therefore, special emphasis should also be provided feeding of pregnant and lactating mothers and provision of washing facilities nearby latrine to each household is required. Further research on impact of malnutrition should be recommended.
Limitation of the study
The nature of study design could not show seasonal variation and temporal relationship of cause and effect of cause and outcome.
There is potential recall bias among respondents answering questions relating to events happening in the past like as history of diarrhea.
Additional file
Acknowledgements
We would like to thank Adigrat University for financial support. We would like also to acknowledge the Regional Health Bureau of Tigray and Wukro town Health Office for their cooperation in conducting this study. We are very grateful to the study participants for their willingness to participate in this study and to the field data collectors for their hard work and sincere contribution. We also reflect our gratitude to the study participants for their genuine cooperation.
Abbreviations
- AIDS
acquired immune deficiency syndrome
- ANC
antenatal care
- ARI
acute respiratory infections
- BMI
body mass index
- BSC
Bachelors of Science
- EDHS
Ethiopian Demographic Health survey
- ENA
Emergency Nutritional Assessments
- ETB
Ethiopian Birr
- FP
family planning
- GDP
gross domestic product
- HIV
human immunodeficiency virus
- LBW
low birth weight
- MSC
Master of Science
- SD
standard deviation
- SPSS
Statistical package for social science
- VIF
variance inflation factor
Authors’ contributions
TT, YA, MT, NE, GG, MB and HT had made substantial contributions to conception and design, or acquisition of data, or analysis and interpretation of data; and been involved in drafting the manuscript or revising it critically for important intellectual content. Each author have participated sufficiently in the work to take public responsibility for appropriate portions of the content; and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors read and approved the final manuscript.
Funding
Adigrat University (AGU/CMHS/034/09): the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Availability of data and materials
The datasets during and/or analyzed during the current study available from the corresponding author on reasonable request.
Ethics approval and consent to participate
Ethical clearance and approval was obtained from Adigrat University, college of medicine and health science ethical review board. The committee’s reference number was AGU/CMHS/034/09. Official cooperation letter was written from Tigray regional health bureau to Wukro town administration health office. Official letter was obtained from Wukro town health office to each selected kebele. After explaining about the purpose, and the possible benefit of the study; written permission was obtained from each respondents. Parents/care giver of the child gave their written consent for the study. The major participants of the study were care giver/mother of under-five children.
Consent for publication
Not applicable for this section.
Competing interests
The authors declare that they have no competing interests.
Footnotes
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Contributor Information
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References
- 1.Blössner M, de Onis M. Malnutrition: quantifying the health impact at national and local levels. Geneva: World Health Organization; 2005. [Google Scholar]
- 2.Gaurav K, et al. Malnutrition status among Under-5 children in a hill Community of Nepal. Kathmandu Univ Med J. 2014;12(4):264–268. doi: 10.3126/kumj.v12i4.13732. [DOI] [PubMed] [Google Scholar]
- 3.Nutrition I. The achievable imperative for global progress. New York: United Nations Children’s Fund; 2013. [Google Scholar]
- 4.Ethiopia FMOH, Ethiopian Health and Nutrition Research Institute (EHNRI), Ministry of Education (MoE), Ministry of Finance and Economic Development (MoFED), Central Statistics Agency (CSA), St. Paul Hospital Millennium Medical College, and the country offices of the World Health Organization (WHO) and the World Food Programme (WFP) The cost of HUNGER in Ethiopia implications for the growth and transformation of Ethiopia, the social and economic impact of child undernutrition in Ethiopia summary report. Addis Ababa: UN Economic Commission for Africa (ECA) and the World Food Programme (WFP); 2012. [Google Scholar]
- 5.UNICEF—WHO—World Bank Group joint child malnutrition estimates . Levels and trends in child malnutrition. Washington DC: UNICEF New York, the Department of Nutrition for Health and Development, WHO Geneva and the Development Data Group, World Bank Group; 2015. [Google Scholar]
- 6.Edhs M. Ethiopia mini demographic and health survey. Addis Ababa: Central Statistical Agency; 2014. pp. P55–P60. [Google Scholar]
- 7.WHO . WHO child growth standards. New York: WHO Department of nutrition for health and development; 2007. [Google Scholar]
- 8.Mengistu K, Alemu K, Destaw B. Prevalence of malnutrition and associated factors among children aged 6–59 months at Hidabu Abote District, North Shewa, Oromia Regional State. J Nutr Disord Ther. 2013;1:1–15. doi: 10.4172/2161-0509-3-T1-001. [DOI] [Google Scholar]
- 9.Brhane G, Regassa N. Nutritional status of children under five years of age in Shire Indaselassie, North Ethiopia: examining the prevalence and risk factors. kontakt. 2014;16:161–170. doi: 10.1016/j.kontakt.2014.06.003. [DOI] [Google Scholar]
- 10.Demissie S, Worku A. Magnitude and factors associated with malnutrition in children 6–59 months of age in pastoral community of Dollo Ado district, Somali region, Ethiopia. Sci J Public Health. 2013;1(4):175–183. doi: 10.11648/j.sjph.20130104.12. [DOI] [Google Scholar]
- 11.Yalew BM. Prevalence of malnutrition and associated factors among children age 6–59 months at lalibela town administration, North WolloZone, Anrs, Northern Ethiopia. J Nutr Disord Ther. 2014;4(1):132. [Google Scholar]
- 12.Woldie YT, Belachew T, Hailu D, Teshome T, Gutema H. Prevalence of stunting and associated factors among under five children in Wondo Genet Woreda, Sidama Zone, Southern Ethiopia. Int J Med Health Sci Res. 2015;2(2):36–49. [Google Scholar]
- 13.Central Statistical Agency (CSA) [Ethiopia] and ICF . Ethiopia demographic and health survey 2016: key indicators report. Addis Ababa: CSA and ICF; 2016. [Google Scholar]
- 14.Desalegn EKB, Fikre K, Bosha T. Stunting and its associated factors in under five years old children: the case of Hawassa University Technology villages, Southern Ethiopia. J Environ Sci Toxicol Food Technol. 2016;10(11):25–31. [Google Scholar]
- 15.Saj MC, Nu´nspan C, Rahme E, Gyorkos TW. Parasite and maternal risk factors for malnutrition in preschool-age children in Belen, Peru, using the New WHO child growth standards. Geneva: WHO; 2007. [DOI] [PubMed] [Google Scholar]
- 16.Behailu T, Afework M, Mache T, Girma A. Prevalence and risk factors of child malnutrition in community based nutrition program implementing and non-implementing districts from South East Amhara, Ethiopia. Open Access Library J. 2014;1(3):1–17. [Google Scholar]
Associated Data
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Supplementary Materials
Data Availability Statement
The datasets during and/or analyzed during the current study available from the corresponding author on reasonable request.