Logistic Regression and Growth Charts to Determine Children Nutritional and Stunting Status: A Review

Ohyver, Margaretha; Moniaga, Jurike V.; Yunidwi, Karina Restisa; Setiawan, Muhamad Irfan

doi:10.1016/j.procs.2017.10.045

Cited by 27 publications

(23 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Ini menyebabkan kematian tiga juta anak per tahun. 4 Berdasarkan data WHO tahun 2016, di wilayah Asia Tenggara prevalensi balita stunting mencapai 33,8%. Pada tahun 2011, Indonesia berada di peringkat lima dari 81 negara dengan jumlah anak stunting terbesar di dunia yang mencapai 7.547.000 anak.…”

Section: Pendahuluanunclassified

See 1 more Smart Citation

Analisis Faktor-Faktor Risiko terhadap Kejadian Stunting pada Balita (0-59 Bulan) di Negara Berkembang dan Asia Tenggara

Apriluana

Fikawati

2018

mpk

161

View full text Add to dashboard Cite

Stunting is a disorder of linear growth caused by chronic malnutrition. The short stature of under-fives is the cause of 2.2 million of all cause of under-five mortality worldwide. The purpose of this literature review was to analyze the effects of determinant risk factors on the incidence of stunting in children under-fives. The design of this study was a literature review. The articles selected were articles of correlation research using cross-sectional studies. The respondents were children with stunting aged 0-59 months. Inclusion criteria to select articles were studies on children with stunting, age 0-59 months, developing countries (including Southeast Asia), had growth chart, still had complete parents. The search process to exclude the articles used for this literature review using the PRISMA method.The results showed that nutritional status factors with birth weight <2,500 gram had a significant effect on the incidence of stunting in children and a risk of stunting of 3.82 times. Maternal education factors have a significant effect on the incidence stunting in children and have a risk of experiencing stunting 1.67 times. Low household income factors were identified as significant predictors of stunting in children under five by 2.1 times. Poor sanitation factors have a significant effect on the incidence of stunting in infants and have a risk of experiencing stunting by 5.0 times. The conclusion of this study is the lower birth weight (LBW), the level of maternal education, household income, and the lack of hygiene sanitation of the house, so the risk of a toddler being stunting is greater. Abstrak Stunting adalah gangguan pertumbuhan linier yang disebabkan kurang gizi yang berlangsung kronis. Keadaan gizi balita pendek menjadi penyebab 2,2 juta dari seluruh penyebab kematian balita di seluruh dunia. Tujuan dari review literatur ini adalah menganalisa efek dari faktor-faktor risiko determinan terhadap kejadian stunting pada balita. Desain penelitian ini adalah literature review. Artikel-artikel yang dipilih dengan search engine adalah artikel correlation research yang menggunakan study cross-sectional dengan respondennya adalah anak dengan stunting usia 0-59 bulan. Kriteria inklusi artikel yang dipilih adalah anak dengan stunting, berusia 0-59 bulan, wilayah negara berkembang (termasuk wilayah Asia Tenggara), memiliki KMS, masih memiliki orang tua lengkap. Proses pencarian hingga pengeksklusian artikel-artikel yang digunakan untuk review literatur ini menggunakan metode PRISMA. Hasil penelitian menunjukkan faktor status gizi dengan berat badan lahir < 2.500 gram memiliki pengaruh secara bermakna terhadap kejadian stunting pada anak dan memiliki risiko mengalami stunting sebesar 3,82 kali. Faktor pendidikan ibu rendah memiliki pengaruh secara bermakna terhadap kejadian stunting pada anak dan memiliki risiko mengalami stunting sebanyak 1,67 kali. Faktor pendapatan rumah tangga yang rendah diidentifikasi sebagai predictor signifikan untuk stunting pada balita sebesar 2,1 kali. Faktor sanitasi yang tidak baik memiliki pengaruh yang signifikan terhadap kejadian stunting pada balita dan memiliki risiko mengalami stunting hingga sebesar 5,0 kali. Kesimpulan penelitian ini adalah semakin rendahnya berat badan lahir (BBLR), tingkat pendidikan ibu, pendapatan rumah tangga, dan kurangnya hygiene sanitasi rumah maka risiko balita menjadi stunting semakin besar.

show abstract

Section: Pendahuluanunclassified

“…Pada tahun 2012, angka kematian anak di bawah lima tahun di Indonesia mencapai 152.000. 4 Prevalensi balita stunting di Indonesia masih fluktuatif sejak tahun 2007-2017. Prevalensi balita stunting di Indonesia pada tahun 2007 adalah 36,8%, tahun 2010 sebesar 35,6%, tahun 2013 sebesar 37,2%, dan tahun 2017 sebesar 29,6%.…”

Section: Pendahuluanunclassified

Analisis Faktor-Faktor Risiko terhadap Kejadian Stunting pada Balita (0-59 Bulan) di Negara Berkembang dan Asia Tenggara

Apriluana

Fikawati

2018

mpk

161

View full text Add to dashboard Cite

show abstract

“…Maka dapat disimpulkan bahwa tingkat kepuasan sistem infromasi posyandu anak balita sudah tergolong sangat puas dan dinyatakan sangat efektif untuk digunakan. Hasil ini sesuai dengan penelitian yang dilakukan oleh (Ohyver, 2017) Penelitian juga akan fokus pada pengembangan aplikasi web yang akan digunakan oleh petugas kesehatan di Posyandu. Juga dikatakan oleh (Niswati, 2016), dikatakan bahwa aplikasi pengolahan data administrasi posyandu dapat meringankan petugas dalam mengolah data administrasi dan membuat laporan posyandu.…”

Section: Methodsunclassified

“…Hasil penilaian validasi ahli materi adalah 90,6% dan 81,3% yang kalau diratarata 85,95%. Jadi validasi ahli sebesar 84% dan 85,95%, maka sistem informasi ini dikatakan valid.. Hasil ini sesuai dengan penelitian yang dilakukan oleh Juga dikatakan oleh (Ohyver, 2017) Penelitian juga akan fokus pada pengembangan aplikasi web yang akan digunakan oleh petugas kesehatan di Posyandu. Juga dikatakan oleh (Mulyani, 2015) Sistem yang telah terkomputerisasi sangat membantu dalam menyelesaikan suatu masalah.…”

Section: System Designunclassified

Perancangan dan Pembelajaran Awal Sistem Informasi Posyandu Terbarukan bagi Warga Desa Kuripan Kecamatan Karangawen Kabupaten Demak

Kholifah¹,

Hartanto²,

Rubhiyanti³

2019

MPP

View full text Add to dashboard Cite

This research is in the background behind the making of posyandu activity reports every month which experience problems in data processing. Technology that is currently developing can be used to help process posyandu data. Then the posyandu information system for toddler is designed to help in the monthly posyandu data processing and learning process product. The purpose and this research is to design, posyandu information systems for toddler that are valid, practical, and effective to be used in the process of posyandu activities and learning process. The method used in this study is the waterfall method with the requirements analysis, system design, implementation, integration and system testing, and operation and maintenance stages. System design includes use cases, flowcharts, context diagrams, data flow diagrams, entity relationship diagrams, design tables and input process output designs. Then implemented into PHP programming language by using the MYSQL database. The results showed that expert validation with an average percentage by media experts was 84% and material experts were 85.95% so it can be concluded that the information system is very valid. Cadre response was 87.1 so it can be concluded that the information system is very good. Practical test results with an average percentage of 85.24% which means very good so that it can get practical information. The results of the effectiveness test using the IKP formula were obtained at 85% so it can be concluded that the information system is very effective to use.

show abstract

“…Malnutrition is the cause and consequence of many geriatric diseases that cause a very significant proportion of state expenditure on health [14]. In [15], author analyzes malnutrition using logistic regression methods and growth charts to reduce the number of children with malnutrition status. This study aims to optimize the data transactions of under five years patients who have malnutrition.…”

Section: Introductionmentioning

confidence: 99%

Identification of Toddlers’ Nutritional Status using Data Mining Approach

Winiarti¹,

Yuliansyah²,

Purnama³

2018

ijacsa

View full text Add to dashboard Cite

Abstract-One of the problems in community health center or health clinic is documenting the toddlers' data. The numbers of malnutrition cases in developing country are quite high. If the problem of malnutrition is not resolved, it can disrupt the country's economic development. This study identifies malnutrition status of toddlers based on the context data from community health center (PUSKESMAS) in Jogjakarta, Indonesia. Currently, the patients' data cannot directly map into appropriate groups of toddlers' malnutrition status. Therefore, data mining concept with k-means clustering is used to map the data into several malnutrition status categories. The aim of this study is building software that can be used to assist the Indonesian government in making decisions to take preventive action against malnutrition.

show abstract

Logistic Regression and Growth Charts to Determine Children Nutritional and Stunting Status: A Review

Cited by 27 publications

References 36 publications

Analisis Faktor-Faktor Risiko terhadap Kejadian Stunting pada Balita (0-59 Bulan) di Negara Berkembang dan Asia Tenggara

Analisis Faktor-Faktor Risiko terhadap Kejadian Stunting pada Balita (0-59 Bulan) di Negara Berkembang dan Asia Tenggara

Perancangan dan Pembelajaran Awal Sistem Informasi Posyandu Terbarukan bagi Warga Desa Kuripan Kecamatan Karangawen Kabupaten Demak

Identification of Toddlers’ Nutritional Status using Data Mining Approach

Contact Info

Product

Resources

About