Municipal-level estimates (2020) of adult obesity in Mexico drawn from a hierarchical Bayesian estimator

Since the beginning of the 21st Century obesity has become a major public health concern in Mexico. Survey data have been key to tracking the evolution of the national and regional prevalence of obesity over time. However, these data are insufficient for policymakers and researchers interested in ob...

Full description

Saved in:
Bibliographic Details
Published in:GeoJournal 2024-06, Vol.89 (3), p.119, Article 119
Main Authors: Nájera, Héctor, Ortega-Avila, Ana G.
Format: Article
Language:English
Subjects:
21st century
Bayesian analysis
Bayesian theory
Census
Censuses
Data
Environmental Management
Estimates
Geography
Hierarchies
Human Geography
Nutrition
Nutrition surveys
Obesity
Policy making
Polls & surveys
Probability theory
Public health
Regions
Social Sciences
Spatial variations
Surveys
Tracking
Variability
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Since the beginning of the 21st Century obesity has become a major public health concern in Mexico. Survey data have been key to tracking the evolution of the national and regional prevalence of obesity over time. However, these data are insufficient for policymakers and researchers interested in obesity from a more local and spatial perspective. This paper uses two secondary data sources: the Mexican National Health and Nutrition Survey 2021 and the Mexican National Population Census 2020. This paper implements a Bayesian hierarchical approach to model survey and census data to produce municipal-level estimates for Mexico in 2020. The results indicate that obesity has inter and intra-regional variability. Obesity is more prevalent in the north and in the Yucatan peninsula and tends to be lower in the state of Chiapas. However, within these regions there is some degree of variability in obesity rates. The results provide a more detailed geographical picture of obesity across Mexico and raise the possibility of using the resulting estimates for further statistical and policy-relevant research.
ISSN:1572-9893
0343-2521
1572-9893
DOI:10.1007/s10708-024-11133-3