Evidence map›Paper›PMID 39605831›Full record

ArticleHeliyon2024

Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model.

Jose D Meisel, Valentina Esguerra, Carolina Pérez Ferrer, Ivana Stankov, Felipe Montes, Natalia Tumas, Usama Bilal, Juan A Valdivia, Ana V Diez Roux, Olga L Sarmiento

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jose D MeiselFacultad de Ingeniería, Universidad de Ibagué, Carrera 22 Calle 67, 730001, Ibagué, Colombia.
Valentina EsguerraFacultad de Ingeniería, Universidad de Ibagué, Carrera 22 Calle 67, 730001, Ibagué, Colombia.
Carolina Pérez FerrerCONACyT-Instituto Nacional de Salud Pública, Cerrada de Fray Pedro de Gante 50, 14080, Mexico City, Mexico.
Ivana StankovUrban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St, 7th floor, Philadelphia, PA, 19104, USA.
Felipe MontesDepartment of Industrial Engineering, Social and Health Complexity Center, Universidad de los Andes, Carrera 1 Este No. 19A-40, Bogotá, Colombia.
Natalia TumasCentro de Investigaciones y Estudios sobre Cultura y Sociedad(CIECS), Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET) y Universidad Nacional de Córdoba (UNC), Córdoba, Argentina.
Usama BilalUrban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St, 7th floor, Philadelphia, PA, 19104, USA.
Juan A ValdiviaDepartamento de Física, Facultad de Ciencias, Universidad de Chile, Las Palmeras, 3425, Ñuñoa Santiago, Chile.
Ana V Diez RouxUrban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St, 7th floor, Philadelphia, PA, 19104, USA.
Olga L SarmientoDepartment of Public Health, School of Medicine, Universidad de los Andes, Carrera 1 Este No. 19A-40, Bogotá, Colombia.

Funding

The Health Consequences of Urban ScalingDP5OD026429 · OD · DREXEL UNIVERSITY · PI BILAL, USAMA · 2018 to 2022
$2.7M
NIH HHS DP5 OD026429
6 · The paper itself

Abstract

Purpose: This paper aims to enrich understanding of the obesity transition among socioeconomic status (SES) strata by gender and age in cities of Colombia and Mexico. The study uses harmonized data from the Salud Urbana en América Latina (SALURBAL) study. Methods: A population-level system dynamics model was developed using 2010 and 2015 data from Colombia and 2012 and 2016 data from Mexico (national health surveys). The model simulates the prevalence of different BMI categories (i.e., not overweight, overweight, obese) stratified by gender, age, and SES, in the SALURBAL cities (aggregated to the country level) of Colombia and Mexico from 2010 to 2050. Sample sizes for Colombia in 2010 and Mexico in 2012 were 7420 and 5785 children (<5 years), 21601 and 14413 children and adolescents (5-17 years), and 46597 and 20464 adults (18-64 years), respectively. Sample sizes for Colombia in 2015 and Mexico in 2016 were 4450 and 907 children, 12468 and 2350 children and adolescents, and 90430 and 3413 adults, respectively. Results: For men in Colombia and Mexico, the burden of obesity is projected to increase among lower SES adults over time. Colombian women show similar patterns observed in men but the burden of obesity was already greater in the lower SES groups as early as 2012. In Mexican women, the burden of obesity in 2012 is higher in the lower SES population; however, the prevalence of obesity is projected to increase at a faster rate in the higher SES population. Patterns for children aged 0-14 years differed by gender and country. Conclusions: The model suggests that the prevalence of obesity among SES strata by age and gender in SALURBAL cities of Colombia and Mexico are likely to change over time, and predicts their possible evolution through the different stages of the obesity transition.

Indexed as

Complex systemsEpidemiologyObesity transitionPublic healthSystem dynamics modelSystem science

Identifiers

PMID39605831
PMCPMC11600054

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.