Evidence map›Paper›PMID 39606505›Full record

ArticleCureus2024

Spatial Analysis of Prediabetes and Associated Risk Factor Prevalence Among Late Adolescents in San Luis Potosí, México.

Patricia E Cossío-Torres, Rogelio Santana-Arias, Margarita Teran-Garcia, Juan M Vargas-Morales, Marisol Vidal-Batres, Carlos A González-Cortés, Mariela Vega-Cárdenas, Celia Aradillas-García

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Patricia E Cossío-TorresFaculty of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí, MEX.
Rogelio Santana-AriasFaculty of Engineering, Universidad Autónoma de San Luis Potosi, San Luis Potosí, MEX.
Margarita Teran-GarciaDivision of Nutritional Sciences, University of Illinois Urbana-Champaign, Champaign, USA.
Juan M Vargas-MoralesFaculty of Chemical Sciences, Universidad Autónoma de San Luis Potosí, San Luis Potosí, MEX.
Marisol Vidal-BatresSchool of Human Nutrition, McGill University, Montreal, CAN.
Carlos A González-CortésCoordination for the Innovation and Application of Science and Technology, Universidad Autónoma de San Luis Potosí, San Luis Potosí, MEX.
Mariela Vega-CárdenasCoordination for the Innovation and Application of Science and Technology, Universidad Autónoma de San Luis Potosí, San Luis Potosí, MEX.
Celia Aradillas-GarcíaFaculty of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí, MEX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The prevalence of prediabetes is increasing worldwide. However, the determinants that contribute to its onset in young individuals remain poorly understood. An essential aspect of directing control and preventive initiatives is comprehending the geographical distribution of these disorders and pinpointing regions with a high prevalence. Objective The objective of this study was to determine the spatial distribution of prediabetes and associated risk factor prevalence among late adolescents in the metropolitan area of San Luis Potosí (MASLP), México, during the years 2008, 2009, and 2010. Methods This was a cross-sectional study that included 15,672 participants between the ages of 18 and 21 years. We made a cartographic overlay of the body mass index (BMI), systolic blood pressure (BP), diastolic BP, and impaired fasting glucose (IFG) using a 2010 marginalization index. Results The prevalence of prediabetes was 5.5%, whereas the prevalence of overweight and obesity remained stable for three years. However, in 2010, the prevalence of both diastolic BP and prediabetes increased. Spatial analysis revealed that the urban basic geostatistical area (Area Geo-Estadística Básica (AGEB)), with 11-20 participants with prediabetes, was mainly concentrated in the areas of medium and low marginalization throughout all years. Conclusion We found a yearly increase in prediabetes prevalence and increased diastolic BP. Prediabetes varies across the region. MASLP has statistically detected significant high hot spots in prediabetes. The findings of this study are valuable for directing resource distribution and highlighting intervention programs that target modifiable prediabetes predictors. To improve health coverage, it is necessary to consider different local realities.

Indexed as

late adolescenceoverweight and obesityprediabetes prevalencerisk factorsspatial distribution

Identifiers

PMID39606505
PMCPMC11602180

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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.