Prevalence and Predictors of Stunting among Children of Age between 24 to 59 Months in Butajira Town and Surrounding District, Gurage Zone, Southern Ethiopia

Dewana, Zeritu; Fikadu, Teshale; Facha, Wolde; Mekonnen, Niguse

doi:10.21767/1791-809x.1000518

Cited by 20 publications

(26 citation statements)

References 7 publications

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“…A multitude of studies have found similar associations [13,16,18]. This corroborates the ideas that stunting is a malnutrition which starts during pregnancy and continues until the second year of life with most frequent appearance after the second year of life [12].…”

Section: Discussionsupporting

confidence: 83%

“…The factors associated with stunting are very complex and interconnected with each other. The factors can be classified as distant factors, like socioeconomic status of the household, followed by intermediate factors, such as environmental factors and health service-related characteristics and immediate factors such as maternal, child and nutritional characteristics [6,[13][14][15][16][17]. A systematic review and meta-analysis of 21 studies in Africa found that the predictors of stunting were complementary feeding practice, maternal under nutrition, household food insecurity, economic growth, and maternal education, as principal determinants of stunting [6].…”

Section: Introductionmentioning

confidence: 99%

“…In Ethiopia, different studies identified different risk factors associated with stunting [13][14][15][16]. A study in northern Ethiopia found that being female, belonging to age group of 25-59 months, and birth weight of <2.5 kg, mothers' lack of antenatal visits, and mistimed complementary feeding initiation were positively associated with childhood stunting; whereas educational status of the mother showed negative association [13].…”

Section: Introductionmentioning

confidence: 99%

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Modeling the Predictors of Stunting in Ethiopia: Analysis of 2016 Ethiopian Demographic Health Survey Data (EDHS)

Mengesha

Vatanparast

Feng

et al. 2019

Preprint

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Background Despite the continued effort to address malnutrition, there is a minimal reduction in the rate of stunting in developing countries including Ethiopia. Nutritional and socioeconomic factors have not been assed using a rigorous analysis so far. Therefore, this study aims to model the effect of nutritional and socioeconomic predictors using 2016 Ethiopian Demographic health survey. Methods This study is a secondary of data analysis of the 2016 EDHS survey. 7909 children of age 6-59 months were included. Descriptive statistics using frequency and percentage for categorical data and mean and standard deviation for metric data were conducted. Linearity, confounding and multicolinearity were checked. Bivariable and multivariable logistic regression were carried out. Odds ratio and 95% confidence interval were calculated. Receiver operative curve was built to estimate the sensitivity and specificity of the model. Result The study identified as 39.2% of children included to this analysis were stunted. 76.47%, 84.27%, 92.62% of the children did not consume fruits and vegetables, legumes and lentils, and meat and its products respectively. Children aged 24 month to 59 months were at 9.71 times higher risk of being stunted compared to younger children of age 6-24 months old (AOR: 9.71; CI: 8.07, 11.6 children) with weights below 9.1 kilogram were at 27.86 odds of being stunted compared to those weight of 23.3 kg and above. Moreover, mothers below 150 cm tall (AOR: 2.01; CI: 1.76, 2.5), living in a rural area (AOR: 1.3, CI: 1.09, 1.54) and being male (AOR: 1.4; CI: 1.26, 1.56) were associated with stunting. Predictive ability of the model was 77% correctly such pair of observation. Conclusion The model indicates that being born male, being from a mother of short stature, living in the rural area, small child size, mother with mild anemia, being from a husband with no education or primary education only, having low weight, and reaching age above 24 months increases the likelihood of stunting. On the other hand, being born of an overweight or obese mother decreases the likelihood of stunting.

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Section: Discussionsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling the Predictors of Stunting in Ethiopia: Analysis of 2016 Ethiopian Demographic Health Survey Data (EDHS)

Mengesha

Vatanparast

Feng

et al. 2019

Preprint

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“…Stunting is a public health and nutrition problem that sometimes is late to be recognised (Dewana, Fikadu, Facha, & Mekonnen, 2017). It has become a common problem in developing countries, as well as Indonesia.…”

Section: Discussionmentioning

confidence: 99%

Correlation Between Immunization Status and Mother’s Height, and Stunting in Children 2–5 Years in Indonesia

Fajariyah

Hidajah

2020

JBE

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Background: Stunting is a condition where the growth and development of a child fails during the first 1,000 days of life. The number of stunted children in Indonesia has increased from 35.60% in 2010 to 37.20% in 2013. Purpose: The aim of this study is to analyse the relationship between immunisation status and stunting in children 2–5 years. Methods: This is a secondary data analysis with cross-sectional study design. The data used for this study were obtained from Indonesia Family Live Survey wave 5. IFLS 5 was conducted in 13 provinces from October 2014 until April 2015. The data were collected from 1,048 respondents aged 2–5 years in the Indonesia Family Life Survey 5 with completed age and height data. The observed variables were age, sex, immunisation status, history of infection, mother’s height, mother’s age during pregnancy, living area, and region. Results: This research shows that there is a relationship between immunisation status (p = 0.01; OR =1.78; 95% CI = 1.26 < OR < 2.52), mother’s height (p = 0.00; OR = 1.41; 95% CI = 1.00 < OR < 1.98) and stunting in children aged 2–5 years. Conclusion: Immunisation status and mother’s height are associated with stunting in children aged 2–5 years.

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“…2, Agustus 2018 P erawakan pendek mencerminkan kegagalan dalam menerima nutrisi yang cukup dalam jangka waktu lama. 1 Anak dengan tinggi badan berdasarkan usia (TB/U) <-2 Standar Deviasi (SD) menurut World Health Organization Chart Growth Standard dikatakan perawakan pendek. 2 Perawakan pendek merupakan salah satu masalah kesehatan di seluruh dunia dan mengenai 178 juta anak di bawah 60.…”

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Hubungan Faktor Sosioekonomi dengan Perawakan Pendek Anak Usia 24-60 Bulan

Agustian¹,

Rusmil

Solek

2018

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Latar belakang. Perawakan pendek merupakan salah satu indikator kesehatan anak yang dipengaruhi berbagai faktor, salah satunya sosioekonomi. Faktor sosioekonomi di antaranya pendidikan, pekerjaan, penghasilan, jumlah anak kurang dari 5 tahun, dan interval usia dengan anak sebelumnya.Tujuan. Mengetahui hubungan status sosioekonomi dengan perawakan pendek.Metode. Studi potong lintang dilakukan pada anak usia 24–60 bulan yang datang ke Puskesmas Sukajadi dan Tempat Penitipan Anak Bunda Ganesa pada bulan Mei 2018. Sampel dipilih secara proporsional random sampling. Tinggi badan anak diperiksa dan diambil data status sosioekonomi. Analisis statistik menggunakan Chi kuadrat dan analisis multivariat dengan regresi logistik.Hasil. Seratus tiga puluh tiga anak terdiri dari 77 anak dari Puskesmas Sukajadi dan 56 anak dari Bunda Ganesa. Prevalensi perawakan pendek di Puskesmas Sukajadi 40,3%, sedangkan di Bunda Ganesa 16,1%. Tempat penelitian, pendidikan orang tua, berat badan menurut usia, pekerjaan ayah dan pendapatan keluarga memiliki hubungan bermakna dengan perawakan pendek. Analisis multivariat ayah pendidikan menengah dan rendah, serta berat badan menurut usia yang abnormal merupakan risiko perawakan pendek. Sementara anak yang tidak mendapat ASI eksklusif berisiko lebih rendah.Kesimpulan. Prevalensi perawakan pendek lebih besar pada anak dari keluarga sosioekonomi menengah kebawah. Pendidikan ayah dan ibu, berat badan menurut usia, pekerjaan ayah dan pendapatan keluarga memiliki hubungan yang bermakna terhadap perawakan pendek.

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Prevalence and Predictors of Stunting among Children of Age between 24 to 59 Months in Butajira Town and Surrounding District, Gurage Zone, Southern Ethiopia

Cited by 20 publications

References 7 publications

Modeling the Predictors of Stunting in Ethiopia: Analysis of 2016 Ethiopian Demographic Health Survey Data (EDHS)

Modeling the Predictors of Stunting in Ethiopia: Analysis of 2016 Ethiopian Demographic Health Survey Data (EDHS)

Correlation Between Immunization Status and Mother’s Height, and Stunting in Children 2–5 Years in Indonesia

Hubungan Faktor Sosioekonomi dengan Perawakan Pendek Anak Usia 24-60 Bulan

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