Understanding and modelling the distribution of the double burden of malnutrition in Peru

Peru, as well as other low and middle-income countries, has undergone a dramatic nutritional transformation in the last 30 years due to social and economic development. This is reflected in the increase in the prevalence of obesity. However, malnutrition has remained constant, with the highest rates observed among children. These two paradoxical scenarios associated with malnutrition are a challenge for entities involved in making health decisions. Therefore, it is necessary to analyze reliable data to inform policy makers and stakeholders about patterns in health and illness profiles of the population that is going through such social and economic changes; especially in the mother-child dyad, of which there is not much information.

Objective

To generate collaborative links between the University of Cardiff in United Kingdom and Universidad Peruana Cayetano Heredia to assess trends and patterns of the double burden of malnutrition considering the mother-child dyad nutritional status; also, to predict the probability of different nutritional status (malnutrition or overweight or obesity) of this dyad according to demographic, socioeconomic, migration, and health variables, among others.

Design:

Secondary data analysis of the Demographic and Family Health Survey (DHS) conducted in Peru by the National Institute of Statistics and Informatics from 1992 to 2017.

Results

In process.

Contact

Antonio Bernabé-Ortiz, MD, MPH, PhD
antonio.bernabe@upch.pe

Location

Lima, Perú

Funding

Newton Fund – Institutional Links FONDECYT – CONCYTEC

Duration

2019-2020

Research team

Antonio Bernabé-Ortiz,
CRONICAS, Universidad Peruana Cayetano Heredia.
J Jaime Miranda,
CRONICAS, Universidad Peruana Cayetano Heredia.
Rodrigo M. Carrillo-Larco,
CRONICAS, Universidad Peruana Cayetano Heredia
Cecilia Anza-Ramírez,
CRONICAS, Universidad Peruana Cayetano Heredia.
Akram Hernandez,
CRONICAS, Universidad Peruana Cayetano Heredia.

Contributors:
Shailen Nandy, Cardiff University.
Marco Pomati, Cardiff University.

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