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Prevalencia de diabesidad en población laboral española: influencia de variables sociodemográficas y consumo de tabaco

BACKGROUND: Obesity predisposes to type 2 diabetes so often that the combination is called diabesity. The aim of this study was to determine the prevalence of diabesity in the working population and to analyze the variables associated with it. METHOD: Cross-sectional study between January 2019 and J...

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Autores principales: López-González, A.A., Ramírez Manent, J.I., Vicente-Herrero, M.T., García Ruiz, E., Albaladejo Blanco, M., López Safont, N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Gobierno de Navarra. Departamento de Salud 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112296/
https://www.ncbi.nlm.nih.gov/pubmed/34750594
http://dx.doi.org/10.23938/ASSN.0977
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author López-González, A.A.
Ramírez Manent, J.I.
Vicente-Herrero, M.T.
García Ruiz, E.
Albaladejo Blanco, M.
López Safont, N.
author_facet López-González, A.A.
Ramírez Manent, J.I.
Vicente-Herrero, M.T.
García Ruiz, E.
Albaladejo Blanco, M.
López Safont, N.
author_sort López-González, A.A.
collection PubMed
description BACKGROUND: Obesity predisposes to type 2 diabetes so often that the combination is called diabesity. The aim of this study was to determine the prevalence of diabesity in the working population and to analyze the variables associated with it. METHOD: Cross-sectional study between January 2019 and June 2020 by 418,343 workers from 18 to 67 year-old, from different professions and Spanish geographic areas. The prevalence of diabesity was determined with six different formulae for obesity: BMI (body mass index), CUN BAE (Clínica Universidad de Navarra-Body Adiposity Estimator), ECORE-BF (Equation Córdoba for Estimation of Body Fat), Formula Palafolls, FMI (fat mass index) of Deuremberg and RFM (relative fat mass). The association between diabetes and age, sex, social class and tobacco was analyzed. RESULTS: The global prevalence of diabetes ranged from 2.6% for BMI to 5.8% for the Palafolls formula. The variable most related to diabesity was age over 50 years (OR=5.9; 95%CI: 5.7-6.2 for BMI, and OR = 8.1; 95%CI: 7.9-8.4 for FMI of Deuremberg). Male sex and social class III related with diabesity estimated by all formulas, while being a smoker was only related with the Palafolls formula. CONCLUSION: Diabesity prevalence varies depending on the formula used, with much lower prevalence among women and increased with age independent of the formula used. Its prevalence is higher in the lower social classes.
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spelling pubmed-101122962023-04-19 Prevalencia de diabesidad en población laboral española: influencia de variables sociodemográficas y consumo de tabaco López-González, A.A. Ramírez Manent, J.I. Vicente-Herrero, M.T. García Ruiz, E. Albaladejo Blanco, M. López Safont, N. An Sist Sanit Navar Artículos Originales BACKGROUND: Obesity predisposes to type 2 diabetes so often that the combination is called diabesity. The aim of this study was to determine the prevalence of diabesity in the working population and to analyze the variables associated with it. METHOD: Cross-sectional study between January 2019 and June 2020 by 418,343 workers from 18 to 67 year-old, from different professions and Spanish geographic areas. The prevalence of diabesity was determined with six different formulae for obesity: BMI (body mass index), CUN BAE (Clínica Universidad de Navarra-Body Adiposity Estimator), ECORE-BF (Equation Córdoba for Estimation of Body Fat), Formula Palafolls, FMI (fat mass index) of Deuremberg and RFM (relative fat mass). The association between diabetes and age, sex, social class and tobacco was analyzed. RESULTS: The global prevalence of diabetes ranged from 2.6% for BMI to 5.8% for the Palafolls formula. The variable most related to diabesity was age over 50 years (OR=5.9; 95%CI: 5.7-6.2 for BMI, and OR = 8.1; 95%CI: 7.9-8.4 for FMI of Deuremberg). Male sex and social class III related with diabesity estimated by all formulas, while being a smoker was only related with the Palafolls formula. CONCLUSION: Diabesity prevalence varies depending on the formula used, with much lower prevalence among women and increased with age independent of the formula used. Its prevalence is higher in the lower social classes. Gobierno de Navarra. Departamento de Salud 2022-04-27 /pmc/articles/PMC10112296/ /pubmed/34750594 http://dx.doi.org/10.23938/ASSN.0977 Text en https://creativecommons.org/licenses/by-nc/3.0/Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons
spellingShingle Artículos Originales
López-González, A.A.
Ramírez Manent, J.I.
Vicente-Herrero, M.T.
García Ruiz, E.
Albaladejo Blanco, M.
López Safont, N.
Prevalencia de diabesidad en población laboral española: influencia de variables sociodemográficas y consumo de tabaco
title Prevalencia de diabesidad en población laboral española: influencia de variables sociodemográficas y consumo de tabaco
title_full Prevalencia de diabesidad en población laboral española: influencia de variables sociodemográficas y consumo de tabaco
title_fullStr Prevalencia de diabesidad en población laboral española: influencia de variables sociodemográficas y consumo de tabaco
title_full_unstemmed Prevalencia de diabesidad en población laboral española: influencia de variables sociodemográficas y consumo de tabaco
title_short Prevalencia de diabesidad en población laboral española: influencia de variables sociodemográficas y consumo de tabaco
title_sort prevalencia de diabesidad en población laboral española: influencia de variables sociodemográficas y consumo de tabaco
topic Artículos Originales
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112296/
https://www.ncbi.nlm.nih.gov/pubmed/34750594
http://dx.doi.org/10.23938/ASSN.0977
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