Evidence map›Paper›PMID 42524985›Full record

ArticleCadernos de saude publica2026

[Impact of the national strategy against obesity and diabetes on the incidence of diabetes in Mexico, 2005-2023].

Laura Fernandez-Contreras, Carlos Saucedo-Sadi, Víctor Manuel Molina-Morejón

Abstract readEnglish Abstract
In one paragraph

Article in Cadernos de saude publica, 2026. 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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0cells of the map it votes in
0citing 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

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

3 authors.

Laura Fernandez-ContrerasFacultad de Contaduría y Administración, Universidad Autónoma de Coahuila, Coahuila, México.ORCID http://orcid.org/0000-0003-1595-9452
Carlos Saucedo-SadiFacultad de Contaduría y Administración, Universidad Autónoma de Coahuila, Coahuila, México.ORCID http://orcid.org/0009-0008-4740-5386
Víctor Manuel Molina-MorejónFacultad de Contaduría y Administración, Universidad Autónoma de Coahuila, Coahuila, México.ORCID http://orcid.org/0000-0001-9124-0840

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim was to evaluate the changes in the temporal trends of the incidence of type 2 diabetes mellitus in the adult population of Mexico before and after the introduction of the National Strategy Against Obesity and Diabetes (ENPCSOD), using interrupted time series analyses. Longitudinal ecological study of interrupted time series with generalized least squares model incorporating ARMA(0.1) structure. The annual cases reported in the Morbidity Yearbooks of the Ministry of Health (2005-2023) and age-adjusted rates (population ≥ 20 years) were used. Analyses were performed stratified by sex and age groups (20-44, 45-59, ≥ 60 years). After the ENPCSOD, an immediate decrease of 55.20 cases per 100,000 adults was observed (95%CI: -86.24; -24.15; p = 0.004), with no evidence of a sustained downward trend in the post-strategy period (post-ENPCSOD slope, β = 5.52; p = 0.180). The COVID-19 pandemic was associated with a sharp drop in the level (β = -109.04; p < 0,001). The effects were heterogeneous: in women there was a major change in level (β = -94.77; p = 0.007) and in the ≥ 60-year-old group the post-ENPCSOD slope showed a significant increase (β = 42.54; p = 0.047). The findings indicate a temporal association between the introduction of ENPCSOD and changes in incidence trend, both of which should be interpreted with caution given the ecological nature of the design.

Indexed as

Diabetes Mellitus, Type 2ObesityAdultFemaleHumansIncidenceInterrupted Time Series AnalysisLongitudinal StudiesMaleMexicoMiddle AgedYoung Adult

Identifiers

PMID42524985
PMCPMC13411465

What Socratic holds

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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 Socratic graph.