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Estimation of Underweight Children in Philippines at Municipal Level

Explore child malnutrition using direct and regression techniques. Evaluate precision and reliability of estimates.

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Estimation of Underweight Children in Philippines at Municipal Level

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  1. MUNICIPAL AND CITY LEVEL ESTIMATION OF THE PROPORTION OF 0-5 YEAR-OLD UNDERWEIGHT CHIDLREN IN THE PHILIPPINES By Reanne Len C. Arlan Research Analyst II, PSRTI

  2. OUTLINE • Introduction • Objectives • Methodology • Results and Discussion • Conclusion • Acknowledgement

  3. INTRODUCTION

  4. OBJECTIVES • Generate municipal/city level estimates of the proportion of underweight children under 5 years old using direct estimation, non-spatial Poisson regression and spatial Poisson regression techniques; and • Evaluate and compare the estimates generated from the different estimation techniques in terms of their precision and reliability.

  5. METHODOLOGY Data Sources • Anthropometric component data of the 7th NNS (DOST-FNRI) • 2007 Census of Population (NSO) • 2008 Field Health Service Information System (DOH-NEC) • 2008 List of Establishments (NSO) • Geographic information from the Official Philippine Map (NAMRIA)

  6. Estimation of the Proportion of 0-5 Year-Old Underweight Children Municipal/City Level Estimates of the proportion of underweight children under 5 years old Direct Estimation Indirect Estimation Properties of Estimates (i.e. measures of accuracy, precision and reliability) Non-spatial Poisson Regression Spatial Poisson Regression “Best” estimator for the proportion of 0-5 year-old underweight children

  7. RESULTS AND DISCUSSION – Direct Estimates • 1,120 cities and municipalities have direct estimates-937 valid estimates • 0.0205 (Santa Rosa City) to 0.9957 (Municipality of San Miguel) • 61.47% of the valid estimates have small variance • 93.17% have CV greater than 50%, with only one estimate (Butuan City, 19.29%) that can be considered acceptable Figure 1. Thematic map of the municipal/city level direct estimates of the proportion of 0-5 year old underweight children in the Philippines, 2008 NNS.

  8. RESULTS AND DISCUSSION – Non-Spatial Poisson Regression Estimates • Resulting model has three (3) predictors • 1,628 cities and municipalities have estimates –1,359 valid estimates • 0.0404 (Makati City) to 0.9995 (Municipality of Quezon, Province of Nueva Vizcaya) • All valid estimates were precise while 99.48% were reliable. Figure 2. Thematic map of the municipal/city level non-spatial Poisson regression estimates of the proportion of 0-5 year old underweight children in the Philippines.

  9. RESULTS AND DISCUSSION – Spatial Poisson Regression Estimates • Moran’s I = 0.0153251 when the threshold distance is 1.38 kilometers • Spherical covariance structure • 1,628 cities and municipalities have estimates – 1,368 valid • 0.0383 (Makati City) to 0.9990 (Municipality of Marabot, Province of Western Samar) • All valid estimates were precise and reliable Figure 3. Thematic map of the municipal/city level spatial Poisson regression estimates of the proportion of 0-5 year old underweight children in the Philippines. .

  10. CONCLUSION • The spatial Poisson regression with spherical covariance structure gave the “best” set of estimates for the city and municipal level proportion of 0-5 year old underweight children. • More than half of the children aged 0-5 year old in majority of the municipalities in the country are underweight. • In general, our country is still facing a quite serious malnutrition problem which needs to be addressed properly.

  11. ACKNOWLEDGEMENT The author would like to thank the Department of Science and Technology – Food and Nutrition Research Institute (DOST-FNRI), Philippine Statistics Authority (PSA) and Department of Health – National Epidemiology Center (DOH-NEC) for the auxiliary data used.

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