Malnutrition causal modeling analytics for Mandaluyong City's Nutrition Committee

The prevalence of malnutrition among children in the Philippines is alarming. According to the Philippine Plan of Action in Nutrition 2017, the prevalence rate of stunting children is 33.4% and 21.5% for underweight in the year 2014. In 2016, there were six hundred and seventy-eight (678) pre-school...

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Main Authors: Ramos, Christine Diane, Gamboa, Kamille, Lojo, Maclarenz, Lontoc, Jose Maria, Tutaan, Karl Luigi
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Published: Animo Repository 2020
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1698
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-26972021-07-17T02:27:22Z Malnutrition causal modeling analytics for Mandaluyong City's Nutrition Committee Ramos, Christine Diane Gamboa, Kamille Lojo, Maclarenz Lontoc, Jose Maria Tutaan, Karl Luigi The prevalence of malnutrition among children in the Philippines is alarming. According to the Philippine Plan of Action in Nutrition 2017, the prevalence rate of stunting children is 33.4% and 21.5% for underweight in the year 2014. In 2016, there were six hundred and seventy-eight (678) pre-school children who were identified to be malnourished in the city of Mandaluyong during their Operation Timbang. However, the determinants of child malnutrition in the city have not been fully analyzed and identified. Solving problems regarding malnutrition entails properly assessing the nutritional status of the city. To do this, necessary data of the children must be analyzed. With insights backed up by quantitative evidence, managing interventions and programs to address malnutrition; and formulating their problem analysis or the creation of causal model would be more objective. This research aims to identify the determinants of malnutrition by applying statistical and forecasting techniques using data from the different available sources to come up with objective insights, evidences and findings. © 2020 Mattingley Publishing. All rights reserved. 2020-02-21T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/1698 Faculty Research Work Animo Repository Malnutrition in children--Philippines--Mandaluyong City Malnutrition in children--Philippines--Mandaluyong City--Prevention
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Malnutrition in children--Philippines--Mandaluyong City
Malnutrition in children--Philippines--Mandaluyong City--Prevention
spellingShingle Malnutrition in children--Philippines--Mandaluyong City
Malnutrition in children--Philippines--Mandaluyong City--Prevention
Ramos, Christine Diane
Gamboa, Kamille
Lojo, Maclarenz
Lontoc, Jose Maria
Tutaan, Karl Luigi
Malnutrition causal modeling analytics for Mandaluyong City's Nutrition Committee
description The prevalence of malnutrition among children in the Philippines is alarming. According to the Philippine Plan of Action in Nutrition 2017, the prevalence rate of stunting children is 33.4% and 21.5% for underweight in the year 2014. In 2016, there were six hundred and seventy-eight (678) pre-school children who were identified to be malnourished in the city of Mandaluyong during their Operation Timbang. However, the determinants of child malnutrition in the city have not been fully analyzed and identified. Solving problems regarding malnutrition entails properly assessing the nutritional status of the city. To do this, necessary data of the children must be analyzed. With insights backed up by quantitative evidence, managing interventions and programs to address malnutrition; and formulating their problem analysis or the creation of causal model would be more objective. This research aims to identify the determinants of malnutrition by applying statistical and forecasting techniques using data from the different available sources to come up with objective insights, evidences and findings. © 2020 Mattingley Publishing. All rights reserved.
format text
author Ramos, Christine Diane
Gamboa, Kamille
Lojo, Maclarenz
Lontoc, Jose Maria
Tutaan, Karl Luigi
author_facet Ramos, Christine Diane
Gamboa, Kamille
Lojo, Maclarenz
Lontoc, Jose Maria
Tutaan, Karl Luigi
author_sort Ramos, Christine Diane
title Malnutrition causal modeling analytics for Mandaluyong City's Nutrition Committee
title_short Malnutrition causal modeling analytics for Mandaluyong City's Nutrition Committee
title_full Malnutrition causal modeling analytics for Mandaluyong City's Nutrition Committee
title_fullStr Malnutrition causal modeling analytics for Mandaluyong City's Nutrition Committee
title_full_unstemmed Malnutrition causal modeling analytics for Mandaluyong City's Nutrition Committee
title_sort malnutrition causal modeling analytics for mandaluyong city's nutrition committee
publisher Animo Repository
publishDate 2020
url https://animorepository.dlsu.edu.ph/faculty_research/1698
_version_ 1707058844074508288