Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Revista Clínica Española
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
versions View all 2 versions
addClaim

Prevalencia de obesidad según la estadificación de Edmonton en las consultas de Medicina Interna. Resultados del estudio OBEMI

Authors: Carretero-Gómez, J.; Arévalo Lorido, J. C.; Gómez-Huelgas, R.; Sánchez Vidal, M. T.; Suárez Tembra, M.; Varela Aguilar, José M.; Munielo Voces, I.; +3 Authors

Prevalencia de obesidad según la estadificación de Edmonton en las consultas de Medicina Interna. Resultados del estudio OBEMI

Abstract

[EN] Objectives: To estimate the prevalence of obesity in patients treated by departments of Internal Medicine and to classify the patients according to the Edmonton Obesity Staging System (EOSS). Material and methods: An observational, descriptive cross-sectional study included outpatients older than 18 years, with a body mass index (BMI) > 30, from 38 hospitals between the 1 st and 14th of February, 2016. We classified the patients according to the EOSS and analysed their clinical, laboratory and demographic variables. A value of P 2 were significantly older and had significantly more comorbidities. The multivariate analysis related age (OR 1.06; P 2. An analysis of correspondence grouped, with an explanatory percentage of 78.2%, the patients according to their EOSS, comorbidity, education level, employment status and functional capacity. Conclusions: The prevalence of obesity in the patients treated by Internal Medicine departments is similar to that of the general population, although the patients are older and have a higher BMI. EOSS is useful for implementing a comprehensive approach for patients with obesity, regardless of the BMI, which can help achieve better health and quality-of-life results.

[ES] Objetivos: Estimar la prevalencia de obesidad y clasificarla según la estadificación de Edmonton (EOSS) en pacientes atendidos por Medicina Interna. Material y métodos: Estudio observacional, descriptivo y transversal. Incluyó pacientes ambulatorios mayores de 18 años con un índice de masa corporal (IMC) > 30, procedentes de 38 hospitales, entre el 1 y el 14 de febrero de 2016. Se clasificaron según EOSS y se analizaron variables clínicas, analíticas y sociodemográficas. Se consideró significación estadística con p 2 tenían significativamente más edad y comorbilidades. El análisis multivariante relacionó la edad (OR 1,06, p 2. Un análisis de correspondencias agrupó, con un porcentaje explicativo del 78,2%, a los pacientes según su EOSS, comorbilidad, nivel de estudios, situación laboral y capacidad funcional. Conclusiones: La prevalencia de obesidad en pacientes atendidos por Medicina Interna es similar a la de la población general, aunque los pacientes son de mayor edad e IMC. El EOSS es útil para hacer una aproximación integral de los pacientes obesos, independientemente del IMC, lo que puede posibilitar la obtención de mejores resultados en salud y en calidad de vida.

Keywords

Obesidad, Prevalence, Obesity, Prevalencia, Edmonton, Comorbilidades, Comorbidities

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    20
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 58
    download downloads 45
  • 58
    views
    45
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
20
Top 10%
Top 10%
Top 10%
58
45
Green