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: | , , , , |
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| Format: | text |
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Animo Repository
2020
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1698 |
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| Institution: | De La Salle University |
| Summary: | 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. |
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