Evidence map›Paper›PMID 41174642›Full record

ArticleBMC public health2025

Incident cases and healthcare costs of non-communicable diseases attributable to industrialized and total sugar sweetened beverage intake in Mexico.

Francisco Canto-Osorio, Ana Basto-Abreu, Dalia Stern, Rossana Torres-Álvarez, Francisco Reyes-Sánchez, M Arantxa Colchero, Tonatiuh Barrientos-Gutiérrez

Abstract read
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Article in BMC public health, 2025. 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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1 · What the graph read from it

What it found

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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

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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

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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

7 authors.

Francisco Canto-Osorio *National Institute of Public Health, Population Health Research Center, Av. Universidad 655, Santa María Ahuacatitlán, Cuernavaca, Morelos, 62100, Mexico.
Ana Basto-Abreu *National Institute of Public Health, Population Health Research Center, Av. Universidad 655, Santa María Ahuacatitlán, Cuernavaca, Morelos, 62100, Mexico.
Dalia SternSECIHTI- Center for Population Health Research, National Institute of Public Health. Cuernavaca, Morelos, Mexico.
Rossana Torres-ÁlvarezDepartment of Integrative Oncology, BC Cancer Research Institute, Vancouver, Canada.
Francisco Reyes-SánchezNational Institute of Public Health, Population Health Research Center, Av. Universidad 655, Santa María Ahuacatitlán, Cuernavaca, Morelos, 62100, Mexico.
M Arantxa ColcheroCenter for Research On Evaluation and Surveys, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Tonatiuh Barrientos-GutiérrezNational Institute of Public Health, Population Health Research Center, Av. Universidad 655, Santa María Ahuacatitlán, Cuernavaca, Morelos, 62100, Mexico. tbarrientos@insp.mx.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate incident cases and healthcare costs of non-communicable chronic diseases (NCD) attributable to sugar-sweetened beverages (SSB) intake in Mexican adults.

methodsWe estimated the population attributable fractions (PAF) of NCDs- including obesity, hypertension, type-2 diabetes, cardiovascular diseases and diet-related cancers- and healthcare costs attributable to the consumption of industrialized and all SSBs. Association measures for SSB-NCD were obtained from published literature. Data on SSB intake were obtained from the 2018 Mexican National Health and Nutrition Survey (ENSANUT), incident cases of NCDs from health registries, and annual NCDs healthcare costs from Mexican studies.

resultsIndustrialized SSB intake contributed to 11.3% of obesity, 10.4% of hypertension, 17.4% of type-2 diabetes, 3.9% of cardiovascular disease, and 12.8% of diet-related cancers (PAFs are disease-specific and not additive due to multimorbidity), resulting in an annual excess healthcare cost of 202 million USD.

conclusionsDespite efforts to reduce SSB consumption, their consumption continues to affect population health and increase healthcare costs.

Indexed as

Health Care CostsNoncommunicable DiseasesSugar-Sweetened BeveragesAdultAgedFemaleHumansIncidenceMaleMexicoMiddle AgedNutrition SurveysHealthcare costsIncident casesNon-communicable diseasesPopulation attributable fractionSugar-sweetened beverages

Identifiers

PMID41174642
PMCPMC12577421

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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.