Research Article - (2017) Volume 11, Issue 4
Zeritu Dewana1, Teshale Fikadu2*, Wolde Facha2 and Niguse Mekonnen2
1Arba Minch College of Health Sciences, Arba Minch, Ethiopia
2School of Public Health, College of Health Sciences and Medicine, Wolaita Sodo University, Wolaita Sodo, Ethiopia
*Corresponding Author:
Teshale Fikadu
Department of Public Health
Arba Minch University, PO Box 21
Arba Minch, Ethiopia
Tel: 0911721177
E-mail: fikaduteshale1@gmail.com
Received Date: 29 May 2017; Accepted Date: 22 August 2017; Published Date: 29 August 2017
Citation: Dewana Z, Fikadu T, Facha W, Mekonnen N (2017) Prevalence and Predictors of Stunting among Children of Age between 24 to 59 Months in Butajira Town and Surrounding District, Gurage Zone, Southern Ethiopia. Health Sci J. Vol. 11 No. 4: 518.
Copyright: © 2017 Dewana Z, et al. This is an open-access article distributed under the terms of the creative Commons attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Background: Stunting is one of the major causes of morbidity and mortality among under-five children. It is used to assess nutritional status of children by measuring their length/height and age. The purpose of this study was to assess prevalence and factors associated with stunting among children of ages between 24 to 59 months in Butajira town and surrounding district, Gurage zone, Southern Ethiopia. Methods: Community based cross sectional study was conducted among children of ages between 24 to 59 months in February 2013. A multistage sampling technique was used to select the study participants. A total of 764 participants were included in our study with 95.3% response rate. Data were entered into Epi data version 3.1 and exported to SPSS 20.0 statistical software for analysis. Bivariate and multivariate analysis was done to assess factors associated with stunting. Odds ratio with 95% CI was used to identify statistically significant association between independent variables with stunting. Result: The prevalence of stunting in our study was 52.5%. Children whose age were between 24 to 35 months were 3.13 times; AOR=3.13 (95% CI=1.88, 5.18) more likely developed stunting than children whose age were between 48 to 59 months. Those children residing together with three under-five children were 4.52 times; AOR=4.52 (95% CI=2.41, 8.45) more likely developed growth stunting than single child in the household. The likely hood of stunting were 4.27 times higher among divorced/widowed compared to married mothers; AOR=4.27(95% CI=1.72, 10.57). Those children who fed breast for less than two years were 5.32 times more likely developed stunting compared to those who fed two or more years; AOR=5.32(95% CI=2.23, 12.71) and those who had repeated acute respiratory tract infection attack were about 2 times more likely developed stunting compared to their counterpart; AOR=2.07(95% CI=1.13, 3.56). Conclusion: Being younger child, living with other under five children, divorced/widowed marital status, repeated attack of respiratory infection and less than two years duration of breast feeding were significantly associated with growth stunting. Thus concerned body working on child health should consider these factors to alleviate the burden of stunting.
Keywords
Stunting; Community; Infectious diseases; Malnutrition
Introduction
Chronic malnutrition (stunting) is one of the major causes of morbidity and mortality among under-five children [1]. Stunting reflects failure to receive adequate nutrition over a long period of time [2]. It is hidden, not detected timely in early life and thus leading to decreased physical growth, and increased child morbidity and mortality, and later on resides in adverse functional consequences: deprived cognition and educational performance, low adult wages, and lost productivity [3-6].
In Ethiopia under nutrition is described as long term year round phenomenon due to chronic food inadequacies and high levels of illness in under five children. Thus 53.6%, 32.7% and 7% of children aged 24 to 59 months were stunted, underweight and wasted respectively [2]. Under nutrition was underlying cause for 57% of child deaths and more than half of it was caused by stunting and wasting [7,8].
The causes of malnutrition intertwined with each other and are hierarchically related. The most immediate (proximate) determinants are poor diet and disease which are themselves caused by a set of underlying factors; residence, breast feeding practice, maternal child caring practice, access to health services and healthy environment. These underlying factors themselves are influenced by the basic socio-economic and political conditions [9-16].
Knowledge about the prevalence and associated factors of stunting is an important precondition for developing nutritional intervention strategies. However; there were limited studies conducted in our study area. Therefore, the aim of this study was to identify the prevalence and associated factors of stunting among children of age between 24 to 59 months in Butajira town and surrounding district. The finding of this study will help development and improvement of implementation and intervention strategies to reduce child mortality and morbidity.
Materials and Methods
Study design and setting
Community based cross sectional study was conducted in Butajira town and surrounding district, Gurage zone, Southern Ethiopia in February 2013. Butajira is located at 130 kilometers south of Addis Ababa (the capital city of Ethiopia) and the town with its surrounding district had a total of 21,970 children between the ages of 24 to 59 months in the year 2012/13, which is projected from 2007 Ethiopia Central Statistical Agency. The area has a total of two hospitals, eight health centers and forty health posts providing maternal and child health care services.
Sample size determination and sampling procedure
Sample size was calculated using Epi info version 7 statistical software by assuming the proportion of stunting to be 53.6% [2], confidence level of 95%, 5% degree of precision, 5% for non-response rate and design effect of 2. The final sample size was 802. A multistage sampling technique was used. Nine kebeles (the smallest administrative unit in Ethiopia) were selected out of 24 kebeles by simple random sampling technique (lottery method). Then the total sample size was allocated proportionally to the selected kebeles based on the number of children. A list of households with children aged between 24 to 59 months was obtained from health post EPI registration book. Then simple random sampling method (generated by computer) was used to select the study participants from each selected kebele. If two or more eligible children were found in the same household, then one of them was selected randomly.
Measurement and tools
Pre-tested interviewer administered structured questionnaire adopted from different literatures were used to collect data. The questionnaire was initially prepared in English and translated into local language, then retranslated by another person to check consistency. The instrument was pretested in 5% of sample size in non-selected kebele.
Data collection and analysis
Data were collected using structured questionnaire via face to face interview from mothers/care givers. Eighteen data collectors (nine degree holders with one assistant for each) were participated during data collection after two days training. Height was measured in a standing up position to the nearest 0.1 cm using a standard vertical board with a detachable sliding headpiece. The ages of children were obtained from immunization card (if available) or from mothers/care givers report. The indices were calculated using WHO Anthroplus version 3.2.2 statistical software. Filled questionnaires were checked daily for its completeness by three supervisors then it were edited, coded and entered into Epi data version 3.1 and exported to SPSS 20.0 statistical software for analysis. After cleaning data for inconsistencies and missing values, descriptive statistics were done. Then bivariate analysis was done for all explanatory variables to identify their association with stunting. Variables with p-value less than 0.25 in the bivariate analysis were included in a backward stepwise logistic regression procedure. Odds ratios (95% confidence intervals) were calculated to determine the association between stunting and independent variables. Model fitness was assessed using Hosmer and Lemeshow test (p=0.879). Collinearity and interaction between independent variables were checked and not found.
Ethical Consideration
Ethical clearance was obtained from Arba Minch Health Science College ethical review committee. Letter of cooperation was obtained from Butajira town and surrounding district health office to respective health centers and health posts. Verbal informed consent was obtained from the mothers/care givers the study participant.
Results
Among 802 children, 764 were participated in the study with response rate of 95.3%. In our study, 401(52.5%) of the study participant were stunted (whose height for age below-2SD). Majority of participants’ mothers, 592 (77.5%) were muslim by religion, 711(93.1%) were Gurage by ethnicity and 722(94.5%) were married. Concerning educational status nearly half, 359(47%) of the mothers were unable to read and write (Table 1).
Table 1 Socio-demographic characteristics of the study participant in Butajira town and surrounding district, February 2013.
Variable | Number | Percent |
---|---|---|
Height for age | ||
above -2SD | 363 | 47.5 |
below -2SD | 401 | 52.5 |
Sex | ||
Male | 405 | 53 |
Female | 359 | 47 |
Age of children (in months) | ||
24-35 | 252 | 33 |
36-47 | 296 | 38.7 |
48-59 | 216 | 28.3 |
Number of under 5 children | ||
1 | 335 | 43.8 |
2 | 340 | 44.5 |
3 | 89 | 11.6 |
Age of mother in years | ||
20-24 | 45 | 5.9 |
25-29 | 304 | 39.8 |
30-34 | 213 | 27.9 |
above 35 | 202 | 26.4 |
Religion | ||
Muslim | 592 | 77.5 |
Orthodox | 106 | 13.9 |
Protestant | 66 | 8.6 |
Ethnicity | ||
Gurage | 711 | 93.1 |
Other than Gurage | 53 | 6.9 |
Maternal education | ||
Unable to read and write | 359 | 47 |
Read & write only | 52 | 6.8 |
1st cycle(Grade 1-4) | 115 | 15 |
2nd cycle (Grade 5-8) | 177 | 23.2 |
Secondaryand above | 61 | 8 |
Marital status | ||
Married | 722 | 94.5 |
Divorced/widowed | 42 | 5.5 |
Fathers’ education | ||
unable to read and write | 183 | 24 |
Read & write only | 81 | 10.6 |
1st cycle(Grade 1-4) | 163 | 21.3 |
2nd cycle (Grade 5-8) | 225 | 29.4 |
Secondary and above | 112 | 14.7 |
Fathers’ occupation | ||
Farmer | 640 | 83.8 |
Merchant | 124 | 16.2 |
Health related characteristics
Most of the respondents, 575(75.3%) were delivered at home, 755(98.8%) were immunized, 748(97.9%) were ever breast fed and 708(92.7%) were using pipe source of drinking water. Less than quarter, 103(13.5%) of the study participants had developed diarrhea two weeks prior to data collection (Table 2).
Table 2 Health related characteristics of the study participants in Butajira town and surrounding district, February 2013.
Variable | Number | Percent |
---|---|---|
Place of delivery | ||
Health institution | 189 | 24.7 |
Home | 575 | 75.3 |
Immunization | ||
Yes | 755 | 98.8 |
No | 9 | 1.2 |
Had repeated diarrheal episode | ||
Yes | 103 | 13.5 |
No | 661 | 86.5 |
Had repeated malaria attack | ||
Yes | 68 | 8.9 |
No | 696 | 91.1 |
Had repeatedrespiratory tract infection | ||
Yes | 106 | 13.9 |
No | 658 | 86.1 |
Ever breast fed | ||
Yes | 748 | 97.9 |
No | 16 | 2.1 |
Source of drinking water | ||
River/ Pond | 56 | 7.3 |
Pipe | 708 | 92.7 |
Solid waste disposal | ||
Disposalpit | 505 | 66.1 |
Open field | 229 | 30 |
Burning | 30 | 3.9 |
Liquid waste disposal | ||
Disposal pit | 188 | 24.6 |
Open field | 576 | 75.4 |
Factors associated with stunting
The prevalence of stunting was 401(52.5%). Children whose age were between 24-35 months and 36-47 months were 3.13 times; 3.13 (95% CI=1.88, 5.18) and 2.64 times; AOR 2.64(95% CI=1.64, 4.23) more likely developed stunting than children whose age were between 48-59 months respectively. Children residing with three under-five children were about 4 times; AOR=4.52(95% CI=2.41, 8.45) and those residing with 2 underfive children were about 2 times; AOR=2.08(95% CI=1.38, 3.14) more likely developed growth stunting than single child in the household. The likely hood of stunting were 4.27 times higher among divorced/widowed compared to married mothers; AOR=4.27(95% CI=1.72, 10.57). Those children who had repeated acute respiratory tract infection attack were about 2 times more likely develop stunting compared to their counterpart; AOR=2.07(95% CI=1.13, 3.56) and those who fed breast for less than two years were 5.32 times more likely develop stunting compared to those who fed two or more years; AOR= 5.32(95% CI=2.23, 12.71) (Table 3).
Table 3 Independent predictors of stunting among children of age 24 to 59 months in Butajira town and surrounding district, February 2013.
Height for age | ||||
---|---|---|---|---|
Variables | Stunted No (%) | Not stunted No (%) | COR(95%CI) | AOR(95%CI) |
Child age in months | ||||
24-35 | 162(40.4) | 90(24.8) | 3.00(2.06,4.38) | 3.13(1.88, 5.18) |
36-47 | 158(39.4) | 138(38.0) | 1.91(1.33, 2.73) | 2.64(1.64, 4.23) |
48-59 | 81(20.2) | 135(37.2) | 1 | 1 |
No of < 5 children | ||||
1 | 137(34.2) | 198(54.5) | 1 | 1 |
2 | 196(48.9) | 144(39.7) | 1.97 (1.45, 2.67) | 2.08(1.38, 3.14) |
3 | 68(17.0) | 21(5.8) | 4.68(2.73, 7.99) | 4.52(2.41, 8.45) |
Marital status | ||||
Married | 368(91.8) | 354(97.5) | 1 | 1 |
Divorced/widowed | 33(8.2) | 9(2.5) | 3.53(1.66,7.47) | 4.27(1.72, 10.57) |
Had repeated ARI | ||||
Yes | 73(18.2) | 33(9.1) | 2.22(1.45, 3.45) | 2.07(1.13, 3.56) |
No | 328(81.8) | 330(90.9) | 1 | 1 |
Duration of breast feeding | ||||
less than 2 year | 52(13.0) | 12(3.3) | 4.32(2.27,8.26) | 5.32(2.23,12.71) |
2 and more year | 349(87.0) | 348(96.7) | 1 | 1 |
Discussion
Stunting is much more common nutrition problem that mainly affects developing countries and often goes unrecognized in children but until recent time stunting was not given priority inspite of its prevalence. In this study the prevalence of stunting was 52.5%. This is consistent with a study done in Ethiopia but inconsistent with a study conducted in South Africa [9,17].
Study participant whose age were between 24 to 35 months were about 3 times and whose age were between 36 to 47 months were about 2 times more likely developed stunting than the age of 48 to 59 months. This is consistent with studies conducted in west Gojam and Tigray region of Ethiopia and India [14,18,19].
In this study children from 2 under-five children were about 2 times and from 3 under-five children were 4.52 times more likely developed growth stunting than one under-five child in the house hold. This could be the fact that as the number of under-five children increases in the household the care given to the children decreases and also causes strain on family resources, as well as increases the risk of infectious diseases. The cumulative effect of these increased the risk of stunting in the house hold having more under-five children. This is consistent with community based studies conducted in southern Brazil [15].
The likelihood of stunting was about four times higher among children whose mothers were divorced/widowed when compared with those whose mothers were married. This might probably be as a result of decreased house hold resources generation by parents as well as inadequate child care provision time.
The likelihood of stunting was 2 times higher among children with repeated attack of acute respiratory tract infection than their counter parts. This might be due to that during illness nutritional requirement increases despite loss of appetite which later on exposed the child for stunting. This is consistent with study conducted in Gojam such that illness increased the risk of stunting [14].
Study participants who fed breast for less than two years were about 5 times more likely developed stunting compared to those who fed breast for two years and more. This might be due to the fact that feeding breast for less than the recommended two years and above time exposed children for nutritional deficiency. Additionally, breast milk decrease food preparation time that give more time for the mother to provide care for the child so this might decrease the probability of developing growth stunting. This finding is consistence with studies conducted in rural Bangladesh and west Gojam of Ethiopia [14,20]; but it is inconsistent with studies conducted in Pakistan [21].
Strength and limitation of the study
Since the reliability of information was based on the ability of remembering, the result was subjected to recall bias. Absence of data on maternal nutrition, heights of the mothers, household food security and parasitic infections could affect stunting of children. There may be misclassification because it is very difficult to get accurate age of children, especially if not registered during birth, in country like Ethiopia but efforts were made to get accurate age by asking for immunization card of the participants.
Conclusion
Our study showed that number of under-five children, maternal marital status, duration of breast feeding, child age and repeated attack by respiratory infection were independently associated with growth stunting. Thus, intensifying intervention strategies by programmers and stakeholders working on nutrition should focus on these determinants to reduce growth stunting and realize millennium development goals.
Competing Interests
The authors declare that they have no competing interests.
Authors' Contributions
Teshale Fikadu: Involved from the inception to design, acquisition of data, analysis and interpretation, drafting the manuscript.
Wolde Facha: Involved in the analysis & interpretation of data, manuscript preparation and revises the manuscript.
Zeritu Dewana: Involved from the inception to design, acquisition of data, analysis and interpretation, drafting the manuscript. Finally all authors read and approved the final manuscript.
Niguse Mekonnen: Involved in the analysis & interpretation of data, manuscript preparation & revises the manuscript.
Acknowledgement
We would like to extend our deepest gratitude to the data collectors and supervisors and our special thanks also go to mothers who participated in the study.
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