Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

60.175 UPC academic works
You are here:
View Item 
  •   DSpace Home
  • Treballs acadèmics
  • Màsters oficials
  • Màster universitari en Estadística i Investigació Operativa (UPC-UB)
  • View Item
  •   DSpace Home
  • Treballs acadèmics
  • Màsters oficials
  • Màster universitari en Estadística i Investigació Operativa (UPC-UB)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A body mass index-based mathematical model on not frequently collected data: the case of Chile

Thumbnail
View/Open
memoria.pdf (4,240Mb) (Restricted access)
Share:
 
  View Usage Statistics
Cita com:
hdl:2117/340302

Show full item record
Rojo González, Luis Antonio
Tutor / directorPérez Casany, MartaMés informacióMés informacióMés informació; Vásquez Pérez, Óscar Carlos
CovenanteeUniversidad de Santiago de Chile
Document typeMaster thesis
Date2021-01
Rights accessRestricted access - confidentiality agreement
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
The nutritional status is generally measured by body mass index (BMI) being obese, one of the most important non-communicable diseases, a risk factor whose estimation is especially relevant for the development of future health policies. In literature, several authors have addressed its estimation using mathematical/computational models considering frequently collected cross-sectional data to compute the required parameters and the so-called transition probabilities. In this work, we formulate and thereafter implement a non-linear programming (NLP) model to compute BMI transition probabilities, assuming one unit difference changes that remain steady over the time being influenced by the current BMI, sex and age of the person, to estimate a disaggregated characterization of the nutritional status of the over-15 population where, in contrast with other works, the data are not frequently collected.
SubjectsGenetics, Population dynamics, Dinàmica de poblacions, Genètica
DegreeMÀSTER UNIVERSITARI EN ESTADÍSTICA I INVESTIGACIÓ OPERATIVA (Pla 2013)
URIhttp://hdl.handle.net/2117/340302
Collections
  • Màsters oficials - Màster universitari en Estadística i Investigació Operativa (UPC-UB) [371]
Share:
 
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
memoria.pdfBlocked4,240MbPDFRestricted access

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Inici de la pàgina