User

Prenatal Factors Associated with the Risk of Stunting: A Multilevel Analysis Evidence from Nganjuk, East Java

Dewi Indriani, Lanti Retno Dewi, Bhisma Murti, Isna Qadrijati

Abstract

Background: Globally, one in four children under the age of five suffers from stunting. Stunting is associated with an underdeveloped brain, with long-lasting harmful consequences, including diminished mental ability and learning capacity, poor school performance in childhood, reduced earnings and increased risks of nutrition-related chronic diseases, such as diabetes, hypertension, and obesity in future. This study aimed to analyze prenatal factors associated with the risk of stunting in Nganjuk, East Java, using a multilevel analysis.

Subjects and Method: This was an analytic observational study with a case control design. The study was conducted at 25 posyandus (integrated health posts) in Nganjuk, East Java, from June 03 to July 07, 2018. Posyandu was selected by stratified random sampling. A sample of 225 children under five was selected by fixed disease sampling, consisting of 75 stunted children and 150 normal children. The dependent variable was stunting. The independent variables were birth length, maternal height, and family size. The data were collected by questionnaire and analyzed by a multilevel logistic regression run on Stata 13.

Results: The risk of stunting increased with maternal height <150 cm (b= 2.59; 95% CI= -0.75 to 4.42; p= 0.006), birth length <48 cm (b=4.17; 95% CI= 2.19 to 6.15; p<0.001), and large family size (b= 2.31; 95% CI= 0.34 to 4.29; p= 0.022). Posyandu had a contextual effect on stunting with ICC= 63.39%.

Conclusion: The risk of stunting increases with maternal height <150 cm, birth length <48 cm, and large family size. Posyandu has a sizeable contextual effect on stunting.

Keywords: stunting, birth length, maternal height, family size, posyandu, multilevel

Correspondence:Dewi Indriani. Masters Program in Public Health, Universitas Sebelas Maret, Jl. Ir. Sutami 36A, Surakarta, Central Java. Email: dindriani11@gmail.com. Mobile: +6285735830730.

Journal of Maternal and Child Health (2018), 3(4): 294-300
https://doi.org/10.26911/thejmch.2018.03.04.07

Full Text:

PDF

References

Adeela A, Seur K (2016). Impact Of Maternal SocioEconomic Determinants On Early Childhood Stunting In Maldives: An Analysis Of Maldives Demographic Health Survey. Internasional Journal of Scientific & Technology Research. 5:190-200

Akombi BJ, Agho KE, Hall JJ, Wali N, Renzaho AMN, Merom D (2017). Stunting, Wasting and Underweight in SubSaharan Africa: A Systematic Review. International Journal of Environmental Research and Public Health. 14(8). doi: 10.3390/ijerph14080863

Amin NA dan Julia M. (2014). Faktor Sosiodemografi dan Tinggi Badan Orang Tua serta Hubungannya dengan Kejadian Stunting pada Balita Usia 6-23 Bulan. Jurnal Gizi dan Dietetik Indonesia. 02(3): 170-177

Aguayo VM, Nair R, Badgaiyan N, Krishna V. (2016). Determinants of Stunting and Poor Linear Growth Inchildren Under 2 Years of Age in India: an in Depth Analysis of Maharashtras Comprehensive Nutrition Survey. Maternal and Child Nutrition. 12(1): 121-140. doi: 10.1111/mcn.12259

Cruz LMG, Azpeiti GG, Suarez DR, Rodriquez AS, Ferrer JFL, Serra ML. (2017). Factors Associated with Stunting among Children Aged 0 to 59 Months from the Central Region of Mozambique. Nutriens Journal. Hal: 1-16, doi:10.3390/nu9050491

Habyarimana F, Zewotir T, Ramroop S. (2016). Key Determinants of Malnutrition of Children Under Five Years of Age in Rwanda: Simultaneous Measurement of Three Anthropometric Indices. Journal African Population Studies. 30(2): 2328-2340. doi: http://dx.doi.org/10.11564/302836

Hagos S, Hailemarian D, Hanna T, Lindtjorn B (2017). Spatial Heterogeneity and Risk Factors for Stunting among Children Under Age Five in Ethiopia: A Bayesian Geostatistical Model. Plos One Journal. 12(2). doi: https://doi.org/10.1371/journal.pone.0170785.

Indriyani E, Dewi YLR, Salimo H (2018). Biopsychosocial Determinants of Stunting in Children Under Five: A Path Analysis Evidence from the Border Area West Kalimantan. Journal of Maternal and Child Health, 3(2): 146-155. https://doi.org/10.26911/thejmch.2018.03.02.07

Kementerian Kesehatan RI (2012a). Pedoman Pelaksanaan Stimulasi, Deteksi dan Intervensi Dini Tumbuh Kembang Anak Ditingkat Pelayanan Kesehatan Dasar. Jakarta.

_____ (2012b). Ayo ke Posyandu Setiap Bulan. Jakarta: Promkes.

_____ (2012c). Kerangka Kebijakan Gerakan Sadar Gizi dalam Rangka Seribu Hari Kehidupan Pertama (1000 HPK) Versi 5.

Kinyoki DK, Kandala NB, Manda SO, Krainski ET, Fugltad GA, Moloney GM, Berkley JA, Noor MA (2016). Assesing Morbidity and Correlates of Wasting and Stunting among Children in Somalia using Crosssectional Household Surveys 2007-2010. BMJ. 6:1-9. doi: 10.1136/bmjopen2015009854

Kramer M, Kupka R, Subramanian SV, Vollmer (2016). Association Between Household Unavailability of Iodized Salt and Child Growth: Evidence from 89 Demographic and Health Surveys. The American Journal of Clinical Nutrition. 104: 1093-1099

Proverawati, Wati (2011). Ilmu Gizi untuk Keperawatan dan Gizi Kesehatan. Yogyakarta: Nuha Medika.

Riskesdas (2013). Penyajian Pokok-pokok Hasil Riset Kesehatan Dasar 2013. Badan Penelitian dan Pengembangan Kesehatan, Kementerian Kesehatan RI.

Setyaningrum TCW, Murti B, Indarto D (2017). Biopsychosocial Factors Associated with Child Growth at Ngembal Kulon Community Health Center, Kudus. Journal of Epidemiology and Public Health. 2(2): 130-140. https://doi.org/10.26911/jepublichealth.

Sinta P, Salimo H, Pamungkasari ET (2017). Multilevel Analysis on the Biososial and Economic Determinants of Exclusive Breastfeeding. Journal of Maternal and Child Health. 2(4): 356-370. https://doi.org/10.26911/thejmch.2017.02.04.06

Wolde M, Berhan Y, Chala A (2015). Determinants of Underweight, Stunting and Wasting among Schoolchildren. Jurnal BMC Public Health. 15(8). doi: 10.1186/s1288901413372

Refbacks

  • There are currently no refbacks.