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Background: Undernutrition is the major cause of childhood illness, death and disability in developing
countries including Sub-Saharan Africa. However, there was scarcity of information on the magnitude
and factors associated with undernutrition in Safety net and non-safety net program beneficiary
households.
Objective: This study was aimed at comparing the prevalence of undernutrition and associated factors
among children aged 6-59 months in productive safety net and non- productive safety households.
Methods and materials: a Community based comparative cross sectional study was carried out
among randomly selected 1555 children in productive safety net and non-productive safety net
households in Meta distinct from 5th-20 th of March, 2017. Data were collected using an interviewer
administered structured pre-tested questionnaire. Anthropometric data on weight were collected by
using Salter scale for children aged 6-23 months and beam balance for those aged 24-59 months and
length board was used to measure the height of the children aged 6-24 month in lying position. The
data were entered and analyzed using SPSS for windows Version 20. Anthropometric data were
analyzed using WHO Anthros software version 3.2.2. A bivariate logistic regression analysis was done
to see the association between outcome variable and each independent variable. Variables with p-value
less than 0.25 during bivariate logistic regression analyses were entered into multivariable logistic
regression model to control for all possible confounders. Multicollinearity between independent
variables was checked using standard error>2 and model fitness was checked by Hosmer Lemshow
goodness of model fit test for stunting, underweight and wasting were 0.631, 0.266 and 0.748
receptively. Odds ratio along with 95% CI was estimated to identify factors associated with
undernutrition. Level of statistical significance was declared at p-value < 0.05.
Result: The prevalence of stunting, underweight and wasting in PSNP 47.7%; 95% CI (44.1%,
51.5%), 27.0%; 95% CI (23.8%, 30.2%) & 12.0%; 95% CI (9.8%, 14.2%), respectively and Non-
x
Productive safety net households also 33.5%; 95% CI (29.9%, 36.9%), 18.1.%; 95% CI (15.5%,
20.6%) & 9.4%; 95% CI (7.2%, 11.3 %), respectively. Stunting was associated with non education
mother [AOR:3.824; 95% CI: (2.160, 6.769 practice of hand washing [AOR: 0.426; 95% CI: (0.283,
0.643)], child illness [AOR: 8.882, 95% CI: (6.356, 12.411), not being exclusively breastfeed{AOR:
7.385; 95% CI: (5.254, 10.382)], women not making decision [AOR: 4.201; 95% CI: (2.971, 5.941)]
and underweight was associated with female sex, [AOR: 0.596; 95% C.I:(0.439, 0.810)], not following
antenatal care [AOR: 2.326; 95% C.I:(1.640, 3.299)] and absence of illness in the child[AOR: 0.294;
95% C.I:(0.215,0.403)]. Wasting was associated with hand washing [AOR: 0.265; 95% CI: (0.187,
0.377)], being in the non productive safety net area [AOR: 0.520; 95% CI: (0.358, 0.755)] and having
own separate plate [AOR: .584; 95% CI: 0.407, 0.839].
Conclusion: The prevalence of undernutrition in this study area was higher than the Oromia Region
State according to Mim-EDHS 2016. Undernutrition wasassociated with breast feeding, diversified
complimentary diet, education of mother, decision making ability of the mother, hand washing and
childhood illness. So we must plan and intervene on those factors to reduce the burden of
undernutrition. Multisectoral approach, coordination, integration and intervention with available scarce
resource. |
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