Evidence map›Paper›PMID 25141255›Full record

ArticlePloS one2014

Metabolic syndrome prevalence among Northern Mexican adult population.

Rogelio Salas, Maria del Mar Bibiloni, Esteban Ramos, Jesús Z Villarreal, Antoni Pons, Josep A Tur, Antoni Sureda

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
12.2field-weighted citation impact, top 2% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
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  9. Metabolic Age, an Index Based on Basal Metabolic Rate, Can Predict Individuals That are High Risk of Developing Metabolic Syndrome.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2021
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  11. Predictors of Metabolic Syndrome in Adults and Older Adults from Amazonas, Brazil.International journal of environmental research and public health · 2021
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  12. Article
  13. Article
  14. Article
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  16. Gender Differences in the Pattern of Socio-Demographics Relevant to Metabolic Syndrome Among Kenyan Adults with Central Obesity at a Mission Hospital in Nairobi, Kenya.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2020
    Article
  17. Article
  18. Validation of a non-laboratorial questionnaire to identify Metabolic Syndrome among a population in central Mexico.Revista panamericana de salud publica = Pan American journal of public health · 2019
    Article
  19. Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2019
    Article
  20. 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

7 authors at 2 institutions in 2 countries.

Rogelio SalasFaculty of Public Health Nutrition, Autonomous University of Nuevo León, Monterrey, Mexico.
Maria del Mar BibiloniResearch Group on Community Nutrition and Oxidative Stress, University of Balearic Islands and CIBERobn (Physiopathology of Obesity and Nutrition), Palma de Mallorca, Spain.
Esteban RamosFaculty of Public Health Nutrition, Autonomous University of Nuevo León, Monterrey, Mexico.
Jesús Z VillarrealDepartment of Health of the State of Nuevo León, Monterrey, Mexico.
Antoni PonsResearch Group on Community Nutrition and Oxidative Stress, University of Balearic Islands and CIBERobn (Physiopathology of Obesity and Nutrition), Palma de Mallorca, Spain.
Josep A TurResearch Group on Community Nutrition and Oxidative Stress, University of Balearic Islands and CIBERobn (Physiopathology of Obesity and Nutrition), Palma de Mallorca, Spain.
Antoni SuredaResearch Group on Community Nutrition and Oxidative Stress, University of Balearic Islands and CIBERobn (Physiopathology of Obesity and Nutrition), Palma de Mallorca, Spain.
Universitat de les Illes Balears · ESUniversidad Autónoma de Nuevo León · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsDietary habits in the Mexican population have changed dramatically over the last few years, which are reflected in increased overweight and obesity prevalence. The aim was to examine the prevalence of metabolic syndrome (MetS) and associated risk factors in Northern Mexican adults aged ≥ 16 years. METHODS AND

resultsThe study was a population-based cross-sectional nutritional survey carried out in the State of Nuevo León, Mexico. The study included a sub-sample of 1,200 subjects aged 16 and over who took part in the State Survey of Nutrition and Health-Nuevo León 2011/2012. Anthropometric measurements, physical activity, blood pressure and fasting blood tests for biochemical analysis were obtained from all subjects. The prevalence of MetS in Mexican adults aged ≥ 16 years was 54.8%, reaching 73.8% in obese subjects. This prevalence was higher in women (60.4%) than in men (48.9%) and increased with age in both genders. Multivariate analyses showed no evident relation between MetS components and the level of physical activity.

conclusionsObese adults, mainly women, are particularly at risk of developing MetS, with the associated implications for their health. The increasing prevalence of MetS highlights the need for developing strategies for its early detection and prevention.

Indexed as

AdolescentAdultAgedFemaleHumansMaleMetabolic SyndromeMexicoMiddle AgedObesityPrevalence

Identifiers

PMID25141255
PMCPMC4139369
OpenAlexW2074534900

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.